Merge changes from topic "nnapi-op-resolver"
* changes:
Regenerate tests with the recent changes
Add new op SLICE
Add float16 support for ARGMAX and ARGMIN
Replace uses of kOperationNames[type] with getOperationName(type)
Add OperationValidationTest for ROI_POOLING and ROI_ALIGN.
Add new op ROI_POOLING.
Converts examples from global to static local.
Fix VTS validation test crashes.
Add new op ABS
Modify Gather to use OperationResolver
Add OperationResolver
Adds float16 support for DEPTHWISE_CONV_2D.
Adds float16 support for STRIDED_SLICE.
Adds float16 support for size/shape operations.
Support inputs with different quantization parameters in CONCATENATION
Fix types and add missing tests
diff --git a/nn/common/Android.bp b/nn/common/Android.bp
index afa4289..0d61715 100644
--- a/nn/common/Android.bp
+++ b/nn/common/Android.bp
@@ -20,9 +20,18 @@
export_include_dirs: ["include"],
}
+cc_defaults {
+ name: "neuralnetworks_operations",
+ srcs: [
+ "OperationResolver.cpp",
+ "operations/Abs.cpp",
+ "operations/Gather.cpp",
+ ],
+}
+
cc_library_static {
name: "libneuralnetworks_utils",
- defaults: ["neuralnetworks_defaults"],
+ defaults: ["neuralnetworks_defaults", "neuralnetworks_operations"],
host_supported: false,
vendor_available: true,
export_include_dirs: ["include"],
@@ -45,7 +54,7 @@
cc_library_static {
name: "libneuralnetworks_common",
- defaults: ["neuralnetworks_defaults"],
+ defaults: ["neuralnetworks_defaults", "neuralnetworks_operations"],
host_supported: false,
vendor_available: true,
// b/109953668, disable OpenMP
@@ -69,7 +78,6 @@
"operations/EmbeddingLookup.cpp",
"operations/ExpandDims.cpp",
"operations/FullyConnected.cpp",
- "operations/Gather.cpp",
"operations/GenerateProposals.cpp",
"operations/GroupedConv2D.cpp",
"operations/HashtableLookup.cpp",
@@ -81,12 +89,14 @@
"operations/Normalization.cpp",
"operations/Pooling.cpp",
"operations/Pow.cpp",
- "operations/TopK_V2.cpp",
+ "operations/TopK_V2.cpp",
"operations/QuantizedLSTM.cpp",
"operations/Reshape.cpp",
"operations/RNN.cpp",
"operations/RoiAlign.cpp",
+ "operations/RoiPooling.cpp",
"operations/SimpleMath.cpp",
+ "operations/Slice.cpp",
"operations/Split.cpp",
"operations/StridedSlice.cpp",
"operations/SVDF.cpp",
@@ -121,6 +131,7 @@
],
cflags: [
+ "-DNN_INCLUDE_CPU_IMPLEMENTATION",
"-DNAMESPACE_FOR_HASH_FUNCTIONS=farmhash",
"-Werror",
"-Wall",
@@ -132,7 +143,6 @@
"-Wno-unused-variable",
"-Wno-invalid-partial-specialization",
],
-
}
cc_test {
diff --git a/nn/common/CpuExecutor.cpp b/nn/common/CpuExecutor.cpp
index 4e662fb..9d7beb3 100644
--- a/nn/common/CpuExecutor.cpp
+++ b/nn/common/CpuExecutor.cpp
@@ -19,7 +19,9 @@
#include "CpuExecutor.h"
#include "NeuralNetworks.h"
+#include "OperationResolver.h"
#include "Operations.h"
+#include "OperationsUtils.h"
#include "Tracing.h"
#include "Eigen/Core"
@@ -32,6 +34,115 @@
namespace android {
namespace nn {
+namespace {
+
+class OperationExecutionContext : public IOperationExecutionContext {
+ DISALLOW_IMPLICIT_CONSTRUCTORS(OperationExecutionContext);
+
+ public:
+ OperationExecutionContext(const Operation* operation, RunTimeOperandInfo* operands)
+ : operation(operation), operands(operands) {}
+
+ uint32_t getNumInputs() const override;
+ OperandType getInputType(uint32_t index) const override;
+ Shape getInputShape(uint32_t index) const override;
+ const void* getInputBuffer(uint32_t index) const override;
+
+ uint32_t getNumOutputs() const override;
+ OperandType getOutputType(uint32_t index) const override;
+ Shape getOutputShape(uint32_t index) const override;
+ void* getOutputBuffer(uint32_t index) override;
+
+ // Requests the output buffer to be resized. Updates the output shape.
+ bool resizeOutputTensor(uint32_t index, const Shape& shape) override;
+
+ private:
+ const RunTimeOperandInfo* getInputInfo(uint32_t index) const;
+ const RunTimeOperandInfo* getOutputInfo(uint32_t index) const;
+ RunTimeOperandInfo* getOutputInfo(uint32_t index);
+
+ const Operation* operation;
+ RunTimeOperandInfo* operands;
+};
+
+const RunTimeOperandInfo* OperationExecutionContext::getInputInfo(uint32_t index) const {
+ CHECK(index < operation->inputs.size());
+ return &operands[operation->inputs[index]];
+}
+
+const RunTimeOperandInfo* OperationExecutionContext::getOutputInfo(uint32_t index) const {
+ CHECK(index < operation->outputs.size());
+ return &operands[operation->outputs[index]];
+}
+
+RunTimeOperandInfo* OperationExecutionContext::getOutputInfo(uint32_t index) {
+ CHECK(index < operation->outputs.size());
+ return &operands[operation->outputs[index]];
+}
+
+OperandType OperationExecutionContext::getInputType(uint32_t index) const {
+ return getInputInfo(index)->type;
+}
+
+Shape OperationExecutionContext::getInputShape(uint32_t index) const {
+ return getInputInfo(index)->shape();
+}
+
+const void* OperationExecutionContext::getInputBuffer(uint32_t index) const {
+ return getInputInfo(index)->buffer;
+}
+
+OperandType OperationExecutionContext::getOutputType(uint32_t index) const {
+ return getOutputInfo(index)->type;
+}
+
+Shape OperationExecutionContext::getOutputShape(uint32_t index) const {
+ return getOutputInfo(index)->shape();
+}
+
+void* OperationExecutionContext::getOutputBuffer(uint32_t index) {
+ return getOutputInfo(index)->buffer;
+}
+
+uint32_t OperationExecutionContext::getNumInputs() const {
+ return operation->inputs.size();
+}
+
+uint32_t OperationExecutionContext::getNumOutputs() const {
+ return operation->outputs.size();
+}
+
+// Updates the RunTimeOperandInfo with the newly calculated shape.
+// Allocate the buffer if we need to.
+bool setInfoAndAllocateIfNeeded(RunTimeOperandInfo* info, const Shape& shape) {
+ // For user-provided model output operands, the parameters must match the Shape
+ // calculated from the preparation step.
+ if (info->lifetime == OperandLifeTime::MODEL_OUTPUT) {
+ NN_RET_CHECK(info->type == shape.type) << "Invalid type for model output";
+ NN_RET_CHECK(info->dimensions == shape.dimensions) << "Invalid dimensions for model output";
+ if (info->type == OperandType::TENSOR_QUANT8_ASYMM) {
+ NN_RET_CHECK_EQ(info->scale, shape.scale) << "Invalid scale for model output";
+ NN_RET_CHECK_EQ(info->zeroPoint, shape.offset) << "Invalid zeroPoint for model output";
+ }
+ }
+ info->type = shape.type;
+ info->dimensions = shape.dimensions;
+ info->scale = shape.scale;
+ info->zeroPoint = shape.offset;
+ if (info->lifetime == OperandLifeTime::TEMPORARY_VARIABLE && info->buffer == nullptr) {
+ uint32_t length = sizeOfData(info->type, info->dimensions);
+ info->buffer = new uint8_t[length];
+ NN_RET_CHECK(info->buffer != nullptr);
+ }
+ return true;
+}
+
+bool OperationExecutionContext::resizeOutputTensor(uint32_t index, const Shape& shape) {
+ return setInfoAndAllocateIfNeeded(getOutputInfo(index), shape);
+}
+
+} // namespace
+
// TODO: short term, make share memory mapping and updating a utility function.
// TODO: long term, implement mmap_fd as a hidl IMemory service.
RunTimePoolInfo::RunTimePoolInfo(const hidl_memory& hidlMemory, bool* fail) {
@@ -156,38 +267,6 @@
}
return true;
}
-
-// Updates the RunTimeOperandInfo with the newly calculated shape.
-// Allocate the buffer if we need to.
-static bool setInfoAndAllocateIfNeeded(RunTimeOperandInfo* info, const Shape& shape) {
- // For user-provided model output operands, the parameters must match the Shape
- // calculated from the preparation step.
- if (info->lifetime == OperandLifeTime::MODEL_OUTPUT) {
- if (info->type != shape.type ||
- info->dimensions != shape.dimensions) {
- LOG(ERROR) << "Invalid type or dimensions for model output";
- return false;
- }
- if (info->type == OperandType::TENSOR_QUANT8_ASYMM &&
- (info->scale != shape.scale || info->zeroPoint != shape.offset)) {
- LOG(ERROR) << "Invalid scale or zeroPoint for model output";
- return false;
- }
- }
- info->type = shape.type;
- info->dimensions = shape.dimensions;
- info->scale = shape.scale;
- info->zeroPoint = shape.offset;
- if (info->lifetime == OperandLifeTime::TEMPORARY_VARIABLE && info->buffer == nullptr) {
- uint32_t length = sizeOfData(info->type, info->dimensions);
- info->buffer = new uint8_t[length];
- if (info->buffer == nullptr) {
- return false;
- }
- }
- return true;
-}
-
template <typename T>
inline bool convertToNhwcImpl(T* to, const T* from, const std::vector<uint32_t>& fromDim) {
uint32_t spatialSize = fromDim[2] * fromDim[3];
@@ -238,6 +317,10 @@
if (from.type == OperandType::TENSOR_FLOAT32) {
return convertToNhwcImpl<float>(reinterpret_cast<float*>(to.buffer),
reinterpret_cast<const float*>(from.buffer), fromDim);
+ } else if (from.type == OperandType::TENSOR_FLOAT16) {
+ return convertToNhwcImpl<_Float16>(reinterpret_cast<_Float16*>(to.buffer),
+ reinterpret_cast<const _Float16*>(from.buffer),
+ fromDim);
} else if (from.type == OperandType::TENSOR_QUANT8_ASYMM) {
return convertToNhwcImpl<uint8_t>(reinterpret_cast<uint8_t*>(to.buffer),
reinterpret_cast<const uint8_t*>(from.buffer),
@@ -271,6 +354,10 @@
if (from.type == OperandType::TENSOR_FLOAT32) {
return convertFromNhwcImpl<float>(reinterpret_cast<float*>(to.buffer),
reinterpret_cast<const float*>(from.buffer), fromDim);
+ } else if (from.type == OperandType::TENSOR_FLOAT16) {
+ return convertFromNhwcImpl<_Float16>(reinterpret_cast<_Float16*>(to.buffer),
+ reinterpret_cast<const _Float16*>(from.buffer),
+ fromDim);
} else if (from.type == OperandType::TENSOR_QUANT8_ASYMM) {
return convertFromNhwcImpl<uint8_t>(reinterpret_cast<uint8_t*>(to.buffer),
reinterpret_cast<const uint8_t*>(from.buffer),
@@ -653,6 +740,14 @@
padding_right, padding_top, padding_bottom, stride_width, stride_height,
depth_multiplier, activation, reinterpret_cast<float*>(output_tmp.buffer),
outShape);
+ } else if (input_tmp.type == OperandType::TENSOR_FLOAT16) {
+ success = depthwiseConvFloat16(
+ reinterpret_cast<const _Float16*>(input_tmp.buffer), input_tmp.shape(),
+ reinterpret_cast<const _Float16*>(filter.buffer), filter.shape(),
+ reinterpret_cast<const _Float16*>(bias.buffer), bias.shape(), padding_left,
+ padding_right, padding_top, padding_bottom, stride_width, stride_height,
+ depth_multiplier, activation,
+ reinterpret_cast<_Float16*>(output_tmp.buffer), outShape);
} else if (input_tmp.type == OperandType::TENSOR_QUANT8_ASYMM) {
success = depthwiseConvQuant8(
reinterpret_cast<const uint8_t*>(input_tmp.buffer), input_tmp.shape(),
@@ -662,7 +757,6 @@
depth_multiplier, activation, reinterpret_cast<uint8_t*>(output_tmp.buffer),
outShape);
}
-
if (data_layout) {
output_tmp_guard.reset(output_tmp.buffer);
}
@@ -1334,13 +1428,9 @@
success = reshapePrepare(input.shape(),
reinterpret_cast<const int32_t*>(targetShape.buffer),
- getNumberOfElements(targetShape.shape()),
- &outShape) &&
+ getNumberOfElements(targetShape.shape()), &outShape) &&
setInfoAndAllocateIfNeeded(&output, outShape) &&
- reshapeGeneric(reinterpret_cast<const void*>(input.buffer),
- input.shape(),
- reinterpret_cast<void*>(output.buffer),
- outShape);
+ copyData(input.buffer, input.shape(), output.buffer, outShape);
} break;
case OperationType::RESIZE_BILINEAR: {
const size_t inCount = ins.size();
@@ -1364,13 +1454,18 @@
output_tmp.lifetime = OperandLifeTime::TEMPORARY_VARIABLE;
output_tmp.buffer = data_layout ? nullptr : output.buffer;
+ if (!resizeBilinearPrepare(input_tmp.shape(), width, height, &outShape) ||
+ !setInfoAndAllocateIfNeeded(&output_tmp, outShape)) {
+ break;
+ }
if (input_tmp.type == OperandType::TENSOR_FLOAT32) {
- success = resizeBilinearPrepare(input_tmp.shape(), width, height, &outShape) &&
- setInfoAndAllocateIfNeeded(&output_tmp, outShape) &&
- resizeBilinearFloat32(reinterpret_cast<const float*>(input_tmp.buffer),
- input_tmp.shape(),
- reinterpret_cast<float*>(output_tmp.buffer),
- outShape);
+ success = resizeBilinearFloat32(
+ reinterpret_cast<const float*>(input_tmp.buffer), input_tmp.shape(),
+ reinterpret_cast<float*>(output_tmp.buffer), outShape);
+ } else if (input_tmp.type == OperandType::TENSOR_FLOAT16) {
+ success = resizeBilinearFloat16(
+ reinterpret_cast<const _Float16*>(input_tmp.buffer), input_tmp.shape(),
+ reinterpret_cast<_Float16*>(output_tmp.buffer), outShape);
}
if (data_layout) {
@@ -1401,12 +1496,34 @@
}
output_tmp.lifetime = OperandLifeTime::TEMPORARY_VARIABLE;
output_tmp.buffer = data_layout ? nullptr : output.buffer;
-
- success = depthToSpacePrepare(input_tmp.shape(), blockSize, &outShape) &&
- setInfoAndAllocateIfNeeded(&output_tmp, outShape) &&
- depthToSpaceGeneric(input_tmp.buffer, input_tmp.shape(), blockSize,
- output_tmp.buffer, outShape);
-
+ if (!depthToSpacePrepare(input_tmp.shape(), blockSize, &outShape) ||
+ !setInfoAndAllocateIfNeeded(&output_tmp, outShape)) {
+ break;
+ }
+ switch (input_tmp.type) {
+ case OperandType::TENSOR_FLOAT32: {
+ success = depthToSpaceGeneric(
+ reinterpret_cast<const float*>(input_tmp.buffer), input_tmp.shape(),
+ blockSize, reinterpret_cast<float*>(output_tmp.buffer), outShape);
+ break;
+ }
+ case OperandType::TENSOR_FLOAT16: {
+ success = depthToSpaceGeneric(
+ reinterpret_cast<const _Float16*>(input_tmp.buffer), input_tmp.shape(),
+ blockSize, reinterpret_cast<_Float16*>(output_tmp.buffer), outShape);
+ break;
+ }
+ case OperandType::TENSOR_QUANT8_ASYMM: {
+ success = depthToSpaceGeneric(
+ reinterpret_cast<const uint8_t*>(input_tmp.buffer), input_tmp.shape(),
+ blockSize, reinterpret_cast<uint8_t*>(output_tmp.buffer), outShape);
+ break;
+ }
+ default: {
+ LOG(ERROR) << "Unsupported data type";
+ success = false;
+ }
+ }
if (data_layout) {
output_tmp_guard.reset(output_tmp.buffer);
}
@@ -1436,11 +1553,34 @@
output_tmp.lifetime = OperandLifeTime::TEMPORARY_VARIABLE;
output_tmp.buffer = data_layout ? nullptr : output.buffer;
- success = spaceToDepthPrepare(input_tmp.shape(), blockSize, &outShape) &&
- setInfoAndAllocateIfNeeded(&output_tmp, outShape) &&
- spaceToDepthGeneric(input_tmp.buffer, input_tmp.shape(), blockSize,
- output_tmp.buffer, outShape);
-
+ if (!spaceToDepthPrepare(input_tmp.shape(), blockSize, &outShape) ||
+ !setInfoAndAllocateIfNeeded(&output_tmp, outShape)) {
+ break;
+ }
+ switch (input_tmp.type) {
+ case OperandType::TENSOR_FLOAT32: {
+ success = spaceToDepthGeneric(
+ reinterpret_cast<const float*>(input_tmp.buffer), input_tmp.shape(),
+ blockSize, reinterpret_cast<float*>(output_tmp.buffer), outShape);
+ break;
+ }
+ case OperandType::TENSOR_FLOAT16: {
+ success = spaceToDepthGeneric(
+ reinterpret_cast<const _Float16*>(input_tmp.buffer), input_tmp.shape(),
+ blockSize, reinterpret_cast<_Float16*>(output_tmp.buffer), outShape);
+ break;
+ }
+ case OperandType::TENSOR_QUANT8_ASYMM: {
+ success = spaceToDepthGeneric(
+ reinterpret_cast<const uint8_t*>(input_tmp.buffer), input_tmp.shape(),
+ blockSize, reinterpret_cast<uint8_t*>(output_tmp.buffer), outShape);
+ break;
+ }
+ default: {
+ LOG(ERROR) << "Unsupported data type";
+ success = false;
+ }
+ }
if (data_layout) {
output_tmp_guard.reset(output_tmp.buffer);
}
@@ -1577,14 +1717,39 @@
output_tmp.lifetime = OperandLifeTime::TEMPORARY_VARIABLE;
output_tmp.buffer = data_layout ? nullptr : output.buffer;
- success = batchToSpacePrepare(input_tmp.shape(),
- reinterpret_cast<const int32_t*>(blockSize.buffer),
- blockSize.shape(), &outShape) &&
- setInfoAndAllocateIfNeeded(&output_tmp, outShape) &&
- batchToSpaceGeneric(input_tmp.buffer, input_tmp.shape(),
- reinterpret_cast<const int32_t*>(blockSize.buffer),
- output_tmp.buffer, outShape);
-
+ if (!batchToSpacePrepare(input_tmp.shape(),
+ reinterpret_cast<const int32_t*>(blockSize.buffer),
+ blockSize.shape(), &outShape) ||
+ !setInfoAndAllocateIfNeeded(&output_tmp, outShape)) {
+ break;
+ }
+ switch (input_tmp.type) {
+ case OperandType::TENSOR_FLOAT32: {
+ success = batchToSpaceGeneric(
+ reinterpret_cast<const float*>(input_tmp.buffer), input_tmp.shape(),
+ reinterpret_cast<const int32_t*>(blockSize.buffer),
+ reinterpret_cast<float*>(output_tmp.buffer), outShape);
+ break;
+ }
+ case OperandType::TENSOR_FLOAT16: {
+ success = batchToSpaceGeneric(
+ reinterpret_cast<const _Float16*>(input_tmp.buffer), input_tmp.shape(),
+ reinterpret_cast<const int32_t*>(blockSize.buffer),
+ reinterpret_cast<_Float16*>(output_tmp.buffer), outShape);
+ break;
+ }
+ case OperandType::TENSOR_QUANT8_ASYMM: {
+ success = batchToSpaceGeneric(
+ reinterpret_cast<const uint8_t*>(input_tmp.buffer), input_tmp.shape(),
+ reinterpret_cast<const int32_t*>(blockSize.buffer),
+ reinterpret_cast<uint8_t*>(output_tmp.buffer), outShape);
+ break;
+ }
+ default: {
+ LOG(ERROR) << "Unsupported data type";
+ success = false;
+ }
+ }
if (data_layout) {
output_tmp_guard.reset(output_tmp.buffer);
}
@@ -1615,16 +1780,43 @@
output_tmp.lifetime = OperandLifeTime::TEMPORARY_VARIABLE;
output_tmp.buffer = data_layout ? nullptr : output.buffer;
- success = spaceToBatchPrepare(
- input_tmp.shape(), reinterpret_cast<const int32_t*>(blockSize.buffer),
- blockSize.shape(), reinterpret_cast<const int32_t*>(paddings.buffer),
- paddings.shape(), &outShape) &&
- setInfoAndAllocateIfNeeded(&output_tmp, outShape) &&
- spaceToBatchGeneric(input_tmp.buffer, input_tmp.shape(),
- reinterpret_cast<const int32_t*>(blockSize.buffer),
- reinterpret_cast<const int32_t*>(paddings.buffer),
- paddings.shape(), output_tmp.buffer, outShape);
-
+ if (!spaceToBatchPrepare(
+ input_tmp.shape(), reinterpret_cast<const int32_t*>(blockSize.buffer),
+ blockSize.shape(), reinterpret_cast<const int32_t*>(paddings.buffer),
+ paddings.shape(), &outShape) ||
+ !setInfoAndAllocateIfNeeded(&output_tmp, outShape)) {
+ break;
+ }
+ switch (input_tmp.type) {
+ case OperandType::TENSOR_FLOAT32: {
+ success = spaceToBatchGeneric(
+ reinterpret_cast<const float*>(input_tmp.buffer), input_tmp.shape(),
+ reinterpret_cast<const int32_t*>(blockSize.buffer),
+ reinterpret_cast<const int32_t*>(paddings.buffer), paddings.shape(),
+ reinterpret_cast<float*>(output_tmp.buffer), outShape);
+ break;
+ }
+ case OperandType::TENSOR_FLOAT16: {
+ success = spaceToBatchGeneric(
+ reinterpret_cast<const _Float16*>(input_tmp.buffer), input_tmp.shape(),
+ reinterpret_cast<const int32_t*>(blockSize.buffer),
+ reinterpret_cast<const int32_t*>(paddings.buffer), paddings.shape(),
+ reinterpret_cast<_Float16*>(output_tmp.buffer), outShape);
+ break;
+ }
+ case OperandType::TENSOR_QUANT8_ASYMM: {
+ success = spaceToBatchGeneric(
+ reinterpret_cast<const uint8_t*>(input_tmp.buffer), input_tmp.shape(),
+ reinterpret_cast<const int32_t*>(blockSize.buffer),
+ reinterpret_cast<const int32_t*>(paddings.buffer), paddings.shape(),
+ reinterpret_cast<uint8_t*>(output_tmp.buffer), outShape);
+ break;
+ }
+ default: {
+ LOG(ERROR) << "Unsupported data type";
+ success = false;
+ }
+ }
if (data_layout) {
output_tmp_guard.reset(output_tmp.buffer);
}
@@ -1652,14 +1844,20 @@
}
if (input.type == OperandType::TENSOR_FLOAT32) {
float pad_value = isV2 ? getScalarData<float>(mOperands[ins[2]]) : 0;
- success = padFloat32(reinterpret_cast<const float*>(input.buffer), input.shape(),
+ success = padGeneric(reinterpret_cast<const float*>(input.buffer), input.shape(),
reinterpret_cast<const int32_t*>(paddings.buffer), pad_value,
reinterpret_cast<float*>(output.buffer), outShape);
+ } else if (input.type == OperandType::TENSOR_FLOAT16) {
+ float pad_value = isV2 ? getScalarData<float>(mOperands[ins[2]]) : 0;
+ success = padGeneric(reinterpret_cast<const _Float16*>(input.buffer), input.shape(),
+ reinterpret_cast<const int32_t*>(paddings.buffer),
+ static_cast<_Float16>(pad_value),
+ reinterpret_cast<_Float16*>(output.buffer), outShape);
} else if (input.type == OperandType::TENSOR_QUANT8_ASYMM) {
uint8_t pad_value = isV2 ? getScalarData<uint8_t>(mOperands[ins[2]]) : 0;
- success = padQuant8(input.buffer, input.shape(),
- reinterpret_cast<const int32_t*>(paddings.buffer), pad_value,
- output.buffer, outShape);
+ success = padGeneric(input.buffer, input.shape(),
+ reinterpret_cast<const int32_t*>(paddings.buffer), pad_value,
+ output.buffer, outShape);
}
} break;
case OperationType::CAST: {
@@ -1687,13 +1885,9 @@
success = squeezePrepare(input.shape(),
reinterpret_cast<const int32_t*>(squeezeDims.buffer),
- squeezeDims.shape(),
- &outShape) &&
+ squeezeDims.shape(), &outShape) &&
setInfoAndAllocateIfNeeded(&output, outShape) &&
- squeezeGeneric(input.buffer,
- input.shape(),
- output.buffer,
- outShape);
+ copyData(input.buffer, input.shape(), output.buffer, outShape);
} break;
case OperationType::TRANSPOSE: {
if (ins.size() != 2 || outs.size() != 1 ||
@@ -1708,17 +1902,39 @@
RunTimeOperandInfo& output = mOperands[outs[0]];
Shape outShape = output.shape();
- success = transposePrepare(input.shape(),
- reinterpret_cast<const int32_t*>(perms.buffer),
- perms.shape(),
- &outShape) &&
- setInfoAndAllocateIfNeeded(&output, outShape) &&
- transposeGeneric(input.buffer,
- input.shape(),
- reinterpret_cast<const int32_t*>(perms.buffer),
- perms.shape(),
- output.buffer,
- outShape);
+ if (!transposePrepare(input.shape(), reinterpret_cast<const int32_t*>(perms.buffer),
+ perms.shape(), &outShape) ||
+ !setInfoAndAllocateIfNeeded(&output, outShape)) {
+ break;
+ }
+ switch (input.type) {
+ case OperandType::TENSOR_FLOAT32: {
+ success = transposeGeneric(
+ reinterpret_cast<const float*>(input.buffer), input.shape(),
+ reinterpret_cast<const int32_t*>(perms.buffer), perms.shape(),
+ reinterpret_cast<float*>(output.buffer), outShape);
+ break;
+ }
+ case OperandType::TENSOR_FLOAT16: {
+ success = transposeGeneric(
+ reinterpret_cast<const _Float16*>(input.buffer), input.shape(),
+ reinterpret_cast<const int32_t*>(perms.buffer), perms.shape(),
+ reinterpret_cast<_Float16*>(output.buffer), outShape);
+ break;
+ }
+ case OperandType::TENSOR_QUANT8_ASYMM: {
+ success = transposeGeneric(
+ reinterpret_cast<const uint8_t*>(input.buffer), input.shape(),
+ reinterpret_cast<const int32_t*>(perms.buffer), perms.shape(),
+ reinterpret_cast<uint8_t*>(output.buffer), outShape);
+ break;
+ }
+ default: {
+ LOG(ERROR) << "Unsupported data type";
+ success = false;
+ }
+ }
+
} break;
case OperationType::STRIDED_SLICE: {
if (!allParametersPresent(7, 1)) {
@@ -1851,23 +2067,6 @@
axis, isArgMin,
output.buffer, outShape);
} break;
- case OperationType::GATHER: {
- if (!allParametersPresent(3, 1)) {
- return ANEURALNETWORKS_BAD_DATA;
- }
- const RunTimeOperandInfo& input = mOperands[ins[0]];
- int32_t axis = getScalarData<int32_t>(mOperands[ins[1]]);
- const RunTimeOperandInfo& indices = mOperands[ins[2]];
-
- RunTimeOperandInfo& output = mOperands[outs[0]];
- Shape outShape = output.shape();
-
- success = gather::prepare(input.shape(), axis, indices.shape(), &outShape) &&
- setInfoAndAllocateIfNeeded(&output, outShape) &&
- gather::compute(input.buffer, input.shape(), axis,
- reinterpret_cast<const int32_t*>(indices.buffer),
- indices.shape(), output.buffer, outShape);
- } break;
case OperationType::EXPAND_DIMS: {
if (!allParametersPresent(2, 1)) {
return ANEURALNETWORKS_BAD_DATA;
@@ -1997,6 +2196,47 @@
break;
}
} break;
+ case OperationType::ROI_POOLING: {
+ if (!allParametersPresent(5, 1)) {
+ return ANEURALNETWORKS_BAD_DATA;
+ }
+ const RunTimeOperandInfo& input = mOperands[ins[0]];
+ const RunTimeOperandInfo& roi = mOperands[ins[1]];
+ const RunTimeOperandInfo& outputShape = mOperands[ins[2]];
+ const float spatialScale = getScalarData<float>(mOperands[ins[3]]);
+ const bool data_layout = getScalarData<bool>(mOperands[ins[4]]);
+
+ RunTimeOperandInfo& out = mOperands[outs[0]];
+ Shape outShape = out.shape();
+
+ RunTimeOperandInfo input_tmp, out_tmp;
+ std::unique_ptr<uint8_t[]> input_tmp_guard, out_tmp_guard;
+ if (!convertToNhwc(input_tmp, input, input_tmp_guard, data_layout)) {
+ success = false;
+ break;
+ }
+ out_tmp.lifetime = OperandLifeTime::TEMPORARY_VARIABLE;
+ out_tmp.buffer = data_layout ? nullptr : out.buffer;
+
+ if (!roiAlignPrepare(input_tmp.shape(), reinterpret_cast<const float*>(roi.buffer),
+ roi.shape(), reinterpret_cast<const int32_t*>(outputShape.buffer),
+ outputShape.shape(), spatialScale, &outShape) ||
+ !setInfoAndAllocateIfNeeded(&out_tmp, outShape)) {
+ success = false;
+ break;
+ }
+
+ success = roiPoolingGeneric(input_tmp.buffer, input_tmp.shape(), roi.buffer,
+ roi.shape(), spatialScale, out_tmp.buffer, outShape);
+
+ if (data_layout) {
+ out_tmp_guard.reset(out_tmp.buffer);
+ }
+ if (!success || !convertFromNhwc(out, out_tmp, data_layout)) {
+ success = false;
+ break;
+ }
+ } break;
case OperationType::HEATMAP_MAX_KEYPOINT: {
if (!allParametersPresent(3, 1)) {
return ANEURALNETWORKS_BAD_DATA;
@@ -2412,9 +2652,41 @@
topk_v2::eval(input.buffer, input.shape(), k, values.buffer, valuesShape,
indices.buffer, indicesShape);
} break;
- default:
- nnAssert(false);
- break;
+ case OperationType::SLICE: {
+ if (!allParametersPresent(3, 1)) {
+ return ANEURALNETWORKS_BAD_DATA;
+ }
+ const RunTimeOperandInfo& input = mOperands[ins[0]];
+ const RunTimeOperandInfo& begin = mOperands[ins[1]];
+ const RunTimeOperandInfo& size = mOperands[ins[2]];
+
+ RunTimeOperandInfo& output = mOperands[outs[0]];
+ Shape outputShape = output.shape();
+
+ const int32_t* beginBuffer = reinterpret_cast<int32_t*>(begin.buffer);
+ const int32_t* sizeBuffer = reinterpret_cast<int32_t*>(size.buffer);
+
+ success = slice::prepare(input.shape(), beginBuffer, begin.shape(), sizeBuffer,
+ size.shape(), &outputShape) &&
+ setInfoAndAllocateIfNeeded(&output, outputShape) &&
+ slice::eval(input.buffer, input.shape(), beginBuffer, begin.shape(),
+ sizeBuffer, size.shape(), output.buffer, output.shape());
+ } break;
+ default: {
+ const OperationRegistration* operationRegistration =
+ OperationResolver::get()->findOperation(operation.type);
+ if (operationRegistration == nullptr) {
+ LOG(ERROR) << getOperationName(operation.type) << " not registered";
+ } else if (operationRegistration->prepare == nullptr ||
+ operationRegistration->execute == nullptr) {
+ LOG(ERROR) << "Incomplete operation registration: "
+ << getOperationName(operation.type);
+ } else {
+ OperationExecutionContext context(&operation, mOperands.data());
+ success = operationRegistration->prepare(&context) &&
+ operationRegistration->execute(&context);
+ }
+ }
}
if (!success) {
LOG(ERROR) << getOperationName(operation.type) << " failed.";
diff --git a/nn/common/OperationResolver.cpp b/nn/common/OperationResolver.cpp
new file mode 100644
index 0000000..3c7d2ee
--- /dev/null
+++ b/nn/common/OperationResolver.cpp
@@ -0,0 +1,53 @@
+/*
+ * Copyright (C) 2018 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#define LOG_TAG "OperationResolver"
+
+#include "OperationResolver.h"
+
+#include "NeuralNetworks.h"
+
+namespace android {
+namespace nn {
+
+// TODO(b/119608412): Find a way to not reference every operation here.
+const OperationRegistration* register_ABS();
+const OperationRegistration* register_GATHER();
+
+OperationResolver::OperationResolver() {
+ registerOperation(register_ABS());
+ registerOperation(register_GATHER());
+}
+
+const OperationRegistration* OperationResolver::findOperation(OperationType operationType) const {
+ auto index = static_cast<int32_t>(operationType);
+ if (index < 0 || index >= kNumberOfOperationTypes) {
+ return nullptr;
+ }
+ return mRegistrations[index];
+}
+
+void OperationResolver::registerOperation(const OperationRegistration* operationRegistration) {
+ CHECK(operationRegistration != nullptr);
+ auto index = static_cast<int32_t>(operationRegistration->type);
+ CHECK_LE(0, index);
+ CHECK_LT(index, kNumberOfOperationTypes);
+ CHECK(mRegistrations[index] == nullptr);
+ mRegistrations[index] = operationRegistration;
+}
+
+} // namespace nn
+} // namespace android
diff --git a/nn/common/OperationsUtils.cpp b/nn/common/OperationsUtils.cpp
index f121842..877b7e3 100644
--- a/nn/common/OperationsUtils.cpp
+++ b/nn/common/OperationsUtils.cpp
@@ -25,6 +25,46 @@
namespace android {
namespace nn {
+namespace {
+
+bool validateOperandTypes(const std::vector<OperandType>& expectedTypes, const char* tag,
+ uint32_t operandCount,
+ std::function<OperandType(uint32_t)> getOperandType) {
+ NN_RET_CHECK_EQ(operandCount, expectedTypes.size());
+ for (uint32_t i = 0; i < operandCount; ++i) {
+ OperandType type = getOperandType(i);
+ NN_RET_CHECK(type == expectedTypes[i])
+ << "Invalid " << tag << " tensor type " << toString(type) << " for " << tag << " "
+ << i << ", expected " << toString(expectedTypes[i]);
+ }
+ return true;
+}
+
+} // namespace
+
+bool validateInputTypes(const IOperationValidationContext* context,
+ const std::vector<OperandType>& expectedTypes) {
+ return validateOperandTypes(expectedTypes, "input", context->getNumInputs(),
+ [context](uint32_t index) { return context->getInputType(index); });
+}
+
+bool validateOutputTypes(const IOperationValidationContext* context,
+ const std::vector<OperandType>& expectedTypes) {
+ return validateOperandTypes(
+ expectedTypes, "output", context->getNumOutputs(),
+ [context](uint32_t index) { return context->getOutputType(index); });
+}
+
+bool validateHalVersion(const IOperationValidationContext* context,
+ HalVersion minSupportedHalVersion) {
+ if (context->getHalVersion() < minSupportedHalVersion) {
+ NN_RET_CHECK_FAIL() << "The given inputs and outputs are only supported in "
+ << toString(minSupportedHalVersion) << " and later (validating using "
+ << toString(context->getHalVersion()) << ")";
+ }
+ return true;
+}
+
bool SameShape(const Shape& in1, const Shape& in2) {
if (in1.type != in2.type || in1.dimensions.size() != in2.dimensions.size()) {
return false;
@@ -407,31 +447,24 @@
return true;
}
-bool concatenationPrepare(const std::vector<Shape>& inputShapes,
- int32_t axis,
- Shape* output) {
-
+bool concatenationPrepare(const std::vector<Shape>& inputShapes, int32_t axis, Shape* output) {
int num_inputs = inputShapes.size();
OperandType input_type = inputShapes[0].type;
uint32_t num_dimensions = getNumberOfDimensions(inputShapes[0]);
- NN_OPS_CHECK(axis >= 0);
- NN_OPS_CHECK(axis < (int32_t)num_dimensions);
+ NN_RET_CHECK(axis >= 0);
+ NN_RET_CHECK(axis < (int32_t)num_dimensions);
int sumAxis = getSizeOfDimension(inputShapes[0], axis);
for (int i = 1; i < num_inputs; ++i) {
- NN_OPS_CHECK(getNumberOfDimensions(inputShapes[i]) == num_dimensions);
- NN_OPS_CHECK(inputShapes[i].type == inputShapes[0].type);
- if (input_type == OperandType::TENSOR_QUANT8_ASYMM) {
- NN_OPS_CHECK(inputShapes[0].offset == inputShapes[i].offset);
- NN_OPS_CHECK(inputShapes[0].scale == inputShapes[i].scale);
- }
+ NN_RET_CHECK(getNumberOfDimensions(inputShapes[i]) == num_dimensions);
+ NN_RET_CHECK(inputShapes[i].type == inputShapes[0].type);
for (int d = 0; d < (int32_t)num_dimensions; ++d) {
if (d == axis) {
sumAxis += getSizeOfDimension(inputShapes[i], axis);
} else {
- NN_OPS_CHECK(getSizeOfDimension(inputShapes[0], d) ==
- getSizeOfDimension(inputShapes[i], d));
+ NN_RET_CHECK_EQ(getSizeOfDimension(inputShapes[0], d),
+ getSizeOfDimension(inputShapes[i], d));
}
}
}
@@ -440,15 +473,9 @@
output->dimensions = inputShapes[0].dimensions;
output->dimensions[axis] = sumAxis;
- if (input_type == OperandType::TENSOR_QUANT8_ASYMM) {
- NN_OPS_CHECK(inputShapes[0].offset == output->offset);
- NN_OPS_CHECK(inputShapes[0].scale == output->scale);
- }
-
return true;
}
-
bool genericNormalizationPrepare(const Shape& input, Shape* output) {
return SetShape(input, output);
}
diff --git a/nn/common/Utils.cpp b/nn/common/Utils.cpp
index 998f031..96f90d1 100644
--- a/nn/common/Utils.cpp
+++ b/nn/common/Utils.cpp
@@ -16,9 +16,11 @@
#define LOG_TAG "Utils"
+#include "Utils.h"
+
#include "NeuralNetworks.h"
#include "NeuralNetworksOEM.h"
-#include "Utils.h"
+#include "OperationResolver.h"
#include "ValidateHal.h"
#include <android-base/logging.h>
@@ -96,6 +98,82 @@
}
}
+class OperationValidationContext : public IOperationValidationContext {
+ DISALLOW_IMPLICIT_CONSTRUCTORS(OperationValidationContext);
+
+ public:
+ OperationValidationContext(uint32_t inputCount, const uint32_t* inputIndexes,
+ uint32_t outputCount, const uint32_t* outputIndexes,
+ const Operand* operands, HalVersion halVersion)
+ : inputCount(inputCount),
+ inputIndexes(inputIndexes),
+ outputCount(outputCount),
+ outputIndexes(outputIndexes),
+ operands(operands),
+ halVersion(halVersion) {}
+
+ HalVersion getHalVersion() const override;
+
+ uint32_t getNumInputs() const override;
+ OperandType getInputType(uint32_t index) const override;
+ Shape getInputShape(uint32_t index) const override;
+
+ uint32_t getNumOutputs() const override;
+ OperandType getOutputType(uint32_t index) const override;
+ Shape getOutputShape(uint32_t index) const override;
+
+ private:
+ const Operand* getInputOperand(uint32_t index) const;
+ const Operand* getOutputOperand(uint32_t index) const;
+
+ uint32_t inputCount;
+ const uint32_t* inputIndexes;
+ uint32_t outputCount;
+ const uint32_t* outputIndexes;
+ const Operand* operands;
+ HalVersion halVersion;
+};
+
+HalVersion OperationValidationContext::getHalVersion() const {
+ return halVersion;
+}
+
+const Operand* OperationValidationContext::getInputOperand(uint32_t index) const {
+ CHECK(index < static_cast<uint32_t>(inputCount));
+ return &operands[inputIndexes[index]];
+}
+
+const Operand* OperationValidationContext::getOutputOperand(uint32_t index) const {
+ CHECK(index < static_cast<uint32_t>(outputCount));
+ return &operands[outputIndexes[index]];
+}
+
+uint32_t OperationValidationContext::getNumInputs() const {
+ return inputCount;
+}
+
+uint32_t OperationValidationContext::getNumOutputs() const {
+ return outputCount;
+}
+
+OperandType OperationValidationContext::getInputType(uint32_t index) const {
+ return getInputOperand(index)->type;
+}
+
+Shape OperationValidationContext::getInputShape(uint32_t index) const {
+ const Operand* operand = getInputOperand(index);
+ return Shape{operand->type, operand->dimensions, operand->scale, operand->zeroPoint};
+}
+
+OperandType OperationValidationContext::getOutputType(uint32_t index) const {
+ return getOutputOperand(index)->type;
+}
+
+Shape OperationValidationContext::getOutputShape(uint32_t index) const {
+ const Operand* operand = getOutputOperand(index);
+ return Shape{operand->type, operand->dimensions, operand->scale, operand->zeroPoint};
+}
+
}; // anonymous namespace
#define COUNT(X) (sizeof(X) / sizeof(X[0]))
@@ -228,9 +306,12 @@
static_assert(COUNT(kOperationNamesOEM) == kNumberOfOperationTypesOEM,
"kOperationNamesOEM is incorrect");
+static const char* getOperationName(uint32_t code) {
+ return tableLookup(kOperationNames, kOperationNamesOEM, code);
+}
+
const char* getOperationName(OperationType type) {
- uint32_t n = static_cast<uint32_t>(type);
- return tableLookup(kOperationNames, kOperationNamesOEM, n);
+ return getOperationName(static_cast<uint32_t>(type));
}
const uint32_t kSizeOfDataType[]{
@@ -438,7 +519,7 @@
static int validateHalVersion(ANeuralNetworksOperationType opType, HalVersion halVersion,
HalVersion minSupportedHalVersion) {
if (halVersion < minSupportedHalVersion) {
- LOG(ERROR) << "The given inputs and outputs for operation " << kOperationNames[opType]
+ LOG(ERROR) << "The given inputs and outputs for operation " << getOperationName(opType)
<< " are only supported in " << toString(minSupportedHalVersion)
<< " and later (validating using " << toString(halVersion) << ")";
return ANEURALNETWORKS_BAD_DATA;
@@ -462,10 +543,9 @@
}
auto logInvalidInOutNumber = [opType, inputCount, outputCount](int expIn, int expOut) {
- LOG(ERROR) << "Invalid number of input operands ("
- << inputCount << ", expected " << expIn << ") or output operands ("
- << outputCount << ", expected " << expOut << ") for operation "
- << kOperationNames[opType];
+ LOG(ERROR) << "Invalid number of input operands (" << inputCount << ", expected " << expIn
+ << ") or output operands (" << outputCount << ", expected " << expOut
+ << ") for operation " << getOperationName(opType);
};
switch (opType) {
@@ -499,7 +579,7 @@
NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_2));
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
return validateOperationOperandTypes(operands,
@@ -536,7 +616,7 @@
outExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_0));
@@ -559,7 +639,7 @@
outExpectedTypes = {OperandType::TENSOR_FLOAT32};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_0));
@@ -582,7 +662,7 @@
outExpectedTypes = {OperandType::TENSOR_FLOAT32};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_0));
@@ -605,7 +685,7 @@
outExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_2));
@@ -618,35 +698,46 @@
outputCount != 1) {
LOG(ERROR) << "Invalid number of input operands (" << inputCount
<< ", expected 12, 11, 9 or 8) or output operands (" << outputCount
- << ", expected 1) for operation " << kOperationNames[opType];
+ << ", expected 1) for operation " << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
auto inputType = operands[inputIndexes[0]].type;
std::vector<OperandType> inExpectedTypes;
std::vector<OperandType> outExpectedTypes;
if (inputType == OperandType::TENSOR_FLOAT32) {
- inExpectedTypes = {OperandType::TENSOR_FLOAT32,
- OperandType::TENSOR_FLOAT32,
- OperandType::TENSOR_FLOAT32,
- OperandType::INT32,
- OperandType::INT32,
- OperandType::INT32,
- OperandType::INT32,
- OperandType::INT32};
+ NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_0));
+ inExpectedTypes = {
+ OperandType::TENSOR_FLOAT32, OperandType::TENSOR_FLOAT32,
+ OperandType::TENSOR_FLOAT32, OperandType::INT32,
+ OperandType::INT32, OperandType::INT32,
+ OperandType::INT32, OperandType::INT32,
+ };
outExpectedTypes = {OperandType::TENSOR_FLOAT32};
+ } else if (inputType == OperandType::TENSOR_FLOAT16) {
+ NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_2));
+ inExpectedTypes = {
+ OperandType::TENSOR_FLOAT16, OperandType::TENSOR_FLOAT16,
+ OperandType::TENSOR_FLOAT16, OperandType::INT32,
+ OperandType::INT32, OperandType::INT32,
+ OperandType::INT32, OperandType::INT32,
+ };
+ outExpectedTypes = {OperandType::TENSOR_FLOAT16};
} else if (inputType == OperandType::TENSOR_QUANT8_ASYMM) {
- inExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM,
- OperandType::TENSOR_QUANT8_ASYMM,
- OperandType::TENSOR_INT32,
- OperandType::INT32,
- OperandType::INT32,
- OperandType::INT32,
- OperandType::INT32,
- OperandType::INT32};
+ NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_0));
+ inExpectedTypes = {
+ OperandType::TENSOR_QUANT8_ASYMM,
+ OperandType::TENSOR_QUANT8_ASYMM,
+ OperandType::TENSOR_INT32,
+ OperandType::INT32,
+ OperandType::INT32,
+ OperandType::INT32,
+ OperandType::INT32,
+ OperandType::INT32,
+ };
outExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
@@ -673,7 +764,7 @@
outputCount != 1) {
LOG(ERROR) << "Invalid number of input operands (" << inputCount
<< ", expected 11, 10, 8 or 7) or output operands (" << outputCount
- << ", expected 1) for operation " << kOperationNames[opType];
+ << ", expected 1) for operation " << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
auto inputType = operands[inputIndexes[0]].type;
@@ -699,7 +790,7 @@
outExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
@@ -726,7 +817,7 @@
outputCount != 1) {
LOG(ERROR) << "Invalid number of input operands (" << inputCount
<< ", expected 11, 10, 8 or 7) or output operands (" << outputCount
- << ", expected 1) for operation " << kOperationNames[opType];
+ << ", expected 1) for operation " << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
auto inputType = operands[inputIndexes[0]].type;
@@ -752,7 +843,7 @@
outExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
@@ -779,7 +870,7 @@
outputCount != 1) {
LOG(ERROR) << "Invalid number of input operands (" << inputCount
<< ", expected 11, 10, 8 or 7) or output operands (" << outputCount
- << ", expected 1) for operation " << kOperationNames[opType];
+ << ", expected 1) for operation " << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
auto inputType = operands[inputIndexes[0]].type;
@@ -796,7 +887,7 @@
outExpectedTypes = {OperandType::TENSOR_FLOAT32};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
@@ -823,7 +914,7 @@
outputCount != 1) {
LOG(ERROR) << "Invalid number of input operands (" << inputCount
<< ", expected 11, 10, 8 or 7) or output operands (" << outputCount
- << ", expected 1) for operation " << kOperationNames[opType];
+ << ", expected 1) for operation " << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
auto inputType = operands[inputIndexes[0]].type;
@@ -849,7 +940,7 @@
outExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
@@ -893,7 +984,7 @@
outExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_0));
@@ -922,7 +1013,7 @@
NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_2));
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
return validateOperationOperandTypes(operands,
@@ -951,7 +1042,7 @@
outExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_0));
@@ -965,7 +1056,7 @@
if ((inputCount != 3 && inputCount != 2) || outputCount != 1) {
LOG(ERROR) << "Invalid number of input operands (" << inputCount
<< ", expected 3 or 2) or output operands (" << outputCount
- << ", expected 1) for operation " << kOperationNames[opType];
+ << ", expected 1) for operation " << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
auto inputType = operands[inputIndexes[0]].type;
@@ -985,7 +1076,7 @@
outExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
if (inputCount == 3) {
@@ -1025,7 +1116,7 @@
outExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_0));
@@ -1037,10 +1128,9 @@
}
case ANEURALNETWORKS_CONCATENATION: {
if (inputCount < 2 || outputCount != 1) {
- LOG(ERROR) << "Invalid number of input operands ("
- << inputCount << ", expected at least 2) or output operands ("
- << outputCount << ", expected 1) for operation "
- << kOperationNames[opType];
+ LOG(ERROR) << "Invalid number of input operands (" << inputCount
+ << ", expected at least 2) or output operands (" << outputCount
+ << ", expected 1) for operation " << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
auto inputType = operands[inputIndexes[0]].type;
@@ -1058,9 +1148,19 @@
outExpectedTypes = {OperandType::TENSOR_FLOAT16};
} else if (inputType == OperandType::TENSOR_QUANT8_ASYMM) {
outExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM};
+
+ const Operand& output = operands[outputIndexes[0]];
+ for (uint32_t i = 0; i < inputCount; ++i) {
+ const Operand& input = operands[inputIndexes[i]];
+ if (input.scale != output.scale || input.zeroPoint != output.zeroPoint) {
+ NN_RETURN_IF_ERROR(
+ validateHalVersion(opType, halVersion, HalVersion::V1_2));
+ break;
+ }
+ }
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
return validateOperationOperandTypes(operands, inputCount, inputIndexes,
@@ -1071,7 +1171,7 @@
if ((inputCount != 2 && inputCount != 1) || outputCount != 1) {
LOG(ERROR) << "Invalid number of input operands (" << inputCount
<< ", expected 2 or 1) or output operands (" << outputCount
- << ", expected 1) for operation " << kOperationNames[opType];
+ << ", expected 1) for operation " << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
auto inputType = operands[inputIndexes[0]].type;
@@ -1082,7 +1182,7 @@
outExpectedTypes = {OperandType::TENSOR_FLOAT32};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
if (inputCount == 2) {
@@ -1105,7 +1205,7 @@
if ((inputCount != 6 && inputCount != 5) || outputCount != 1) {
LOG(ERROR) << "Invalid number of input operands (" << inputCount
<< ", expected 6 or 5) or output operands (" << outputCount
- << ", expected 1) for operation " << kOperationNames[opType];
+ << ", expected 1) for operation " << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
auto inputType = operands[inputIndexes[0]].type;
@@ -1120,7 +1220,7 @@
outExpectedTypes = {OperandType::TENSOR_FLOAT32};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
if (inputCount == 6) {
@@ -1148,19 +1248,24 @@
std::vector<OperandType> inExpectedTypes;
std::vector<OperandType> outExpectedTypes;
if (inputType == OperandType::TENSOR_FLOAT32) {
+ NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_0));
inExpectedTypes = {OperandType::TENSOR_FLOAT32,
OperandType::TENSOR_INT32};
outExpectedTypes = {OperandType::TENSOR_FLOAT32};
+ } else if (inputType == OperandType::TENSOR_FLOAT16) {
+ NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_2));
+ inExpectedTypes = {OperandType::TENSOR_FLOAT16, OperandType::TENSOR_INT32};
+ outExpectedTypes = {OperandType::TENSOR_FLOAT16};
} else if (inputType == OperandType::TENSOR_QUANT8_ASYMM) {
+ NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_0));
inExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM,
OperandType::TENSOR_INT32};
outExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
- NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_0));
return validateOperationOperandTypes(operands,
inputCount, inputIndexes,
inExpectedTypes,
@@ -1171,20 +1276,31 @@
if ((inputCount != 4 && inputCount != 3) || outputCount != 1) {
LOG(ERROR) << "Invalid number of input operands (" << inputCount
<< ", expected 4 or 3) or output operands (" << outputCount
- << ", expected 1) for operation " << kOperationNames[opType];
+ << ", expected 1) for operation " << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
auto inputType = operands[inputIndexes[0]].type;
std::vector<OperandType> inExpectedTypes;
std::vector<OperandType> outExpectedTypes;
if (inputType == OperandType::TENSOR_FLOAT32) {
- inExpectedTypes = {OperandType::TENSOR_FLOAT32,
- OperandType::INT32,
- OperandType::INT32};
+ NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_0));
+ inExpectedTypes = {
+ OperandType::TENSOR_FLOAT32,
+ OperandType::INT32,
+ OperandType::INT32,
+ };
outExpectedTypes = {OperandType::TENSOR_FLOAT32};
+ } else if (inputType == OperandType::TENSOR_FLOAT16) {
+ NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_2));
+ inExpectedTypes = {
+ OperandType::TENSOR_FLOAT16,
+ OperandType::INT32,
+ OperandType::INT32,
+ };
+ outExpectedTypes = {OperandType::TENSOR_FLOAT16};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
if (inputCount == 4) {
@@ -1203,23 +1319,29 @@
if ((inputCount != 3 && inputCount != 2) || outputCount != 1) {
LOG(ERROR) << "Invalid number of input operands (" << inputCount
<< ", expected 3 or 2) or output operands (" << outputCount
- << ", expected 1) for operation " << kOperationNames[opType];
+ << ", expected 1) for operation " << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
auto inputType = operands[inputIndexes[0]].type;
std::vector<OperandType> inExpectedTypes;
std::vector<OperandType> outExpectedTypes;
if (inputType == OperandType::TENSOR_FLOAT32) {
+ NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_0));
inExpectedTypes = {OperandType::TENSOR_FLOAT32,
OperandType::INT32};
outExpectedTypes = {OperandType::TENSOR_FLOAT32};
+ } else if (inputType == OperandType::TENSOR_FLOAT16) {
+ NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_2));
+ inExpectedTypes = {OperandType::TENSOR_FLOAT16, OperandType::INT32};
+ outExpectedTypes = {OperandType::TENSOR_FLOAT16};
} else if (inputType == OperandType::TENSOR_QUANT8_ASYMM) {
+ NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_0));
inExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM,
OperandType::INT32};
outExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
if (inputCount == 3) {
@@ -1238,23 +1360,29 @@
if ((inputCount != 3 && inputCount != 2) || outputCount != 1) {
LOG(ERROR) << "Invalid number of input operands (" << inputCount
<< ", expected 3 or 2) or output operands (" << outputCount
- << ", expected 1) for operation " << kOperationNames[opType];
+ << ", expected 1) for operation " << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
auto inputType = operands[inputIndexes[0]].type;
std::vector<OperandType> inExpectedTypes;
std::vector<OperandType> outExpectedTypes;
if (inputType == OperandType::TENSOR_FLOAT32) {
+ NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_0));
inExpectedTypes = {OperandType::TENSOR_FLOAT32,
OperandType::INT32};
outExpectedTypes = {OperandType::TENSOR_FLOAT32};
+ } else if (inputType == OperandType::TENSOR_FLOAT16) {
+ NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_2));
+ inExpectedTypes = {OperandType::TENSOR_FLOAT16, OperandType::INT32};
+ outExpectedTypes = {OperandType::TENSOR_FLOAT16};
} else if (inputType == OperandType::TENSOR_QUANT8_ASYMM) {
+ NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_0));
inExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM,
OperandType::INT32};
outExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
if (inputCount == 3) {
@@ -1279,7 +1407,7 @@
inputType != OperandType::TENSOR_INT32 &&
inputType != OperandType::TENSOR_QUANT8_ASYMM) {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
std::vector<OperandType> inExpectedTypes = {OperandType::TENSOR_INT32,
@@ -1302,7 +1430,7 @@
inputType != OperandType::TENSOR_INT32 &&
inputType != OperandType::TENSOR_QUANT8_ASYMM) {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
std::vector<OperandType> inExpectedTypes = {OperandType::TENSOR_INT32,
@@ -1327,7 +1455,7 @@
inputType != OperandType::TENSOR_INT32 &&
inputType != OperandType::TENSOR_QUANT8_ASYMM) {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
std::vector<OperandType> inExpectedTypes = {OperandType::TENSOR_FLOAT32,
@@ -1383,7 +1511,7 @@
} else {
LOG(ERROR) << "Invalid number of input operands (" << inputCount
<< ", expected 23 or 27) or output operands (" << outputCount
- << ", expected 4) for operation " << kOperationNames[opType];
+ << ", expected 4) for operation " << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
return validateOperationOperandTypes(operands,
@@ -1471,23 +1599,34 @@
if ((inputCount != 3 && inputCount != 2) || outputCount != 1) {
LOG(ERROR) << "Invalid number of input operands (" << inputCount
<< ", expected 3 or 2) or output operands (" << outputCount
- << ", expected 1) for operation " << kOperationNames[opType];
+ << ", expected 1) for operation " << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
auto inputType = operands[inputIndexes[0]].type;
std::vector<OperandType> inExpectedTypes;
std::vector<OperandType> outExpectedTypes;
if (inputType == OperandType::TENSOR_FLOAT32) {
- inExpectedTypes = {OperandType::TENSOR_FLOAT32,
- OperandType::TENSOR_INT32};
+ inExpectedTypes = {
+ OperandType::TENSOR_FLOAT32,
+ OperandType::TENSOR_INT32,
+ };
outExpectedTypes = {OperandType::TENSOR_FLOAT32};
+ } else if (inputType == OperandType::TENSOR_FLOAT16) {
+ NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_2));
+ inExpectedTypes = {
+ OperandType::TENSOR_FLOAT16,
+ OperandType::TENSOR_INT32,
+ };
+ outExpectedTypes = {OperandType::TENSOR_FLOAT16};
} else if (inputType == OperandType::TENSOR_QUANT8_ASYMM) {
- inExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM,
- OperandType::TENSOR_INT32};
+ inExpectedTypes = {
+ OperandType::TENSOR_QUANT8_ASYMM,
+ OperandType::TENSOR_INT32,
+ };
outExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
if (inputCount == 3) {
@@ -1506,25 +1645,37 @@
if ((inputCount != 4 && inputCount != 3) || outputCount != 1) {
LOG(ERROR) << "Invalid number of input operands (" << inputCount
<< ", expected 4 or 3) or output operands (" << outputCount
- << ", expected 1) for operation " << kOperationNames[opType];
+ << ", expected 1) for operation " << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
auto inputType = operands[inputIndexes[0]].type;
std::vector<OperandType> inExpectedTypes;
std::vector<OperandType> outExpectedTypes;
if (inputType == OperandType::TENSOR_FLOAT32) {
- inExpectedTypes = {OperandType::TENSOR_FLOAT32,
- OperandType::TENSOR_INT32,
- OperandType::TENSOR_INT32};
+ inExpectedTypes = {
+ OperandType::TENSOR_FLOAT32,
+ OperandType::TENSOR_INT32,
+ OperandType::TENSOR_INT32,
+ };
outExpectedTypes = {OperandType::TENSOR_FLOAT32};
+ } else if (inputType == OperandType::TENSOR_FLOAT16) {
+ NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_2));
+ inExpectedTypes = {
+ OperandType::TENSOR_FLOAT16,
+ OperandType::TENSOR_INT32,
+ OperandType::TENSOR_INT32,
+ };
+ outExpectedTypes = {OperandType::TENSOR_FLOAT16};
} else if (inputType == OperandType::TENSOR_QUANT8_ASYMM) {
- inExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM,
- OperandType::TENSOR_INT32,
- OperandType::TENSOR_INT32};
+ inExpectedTypes = {
+ OperandType::TENSOR_QUANT8_ASYMM,
+ OperandType::TENSOR_INT32,
+ OperandType::TENSOR_INT32,
+ };
outExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
if (inputCount == 4) {
@@ -1548,19 +1699,31 @@
std::vector<OperandType> inExpectedTypes;
std::vector<OperandType> outExpectedTypes;
if (inputType == OperandType::TENSOR_FLOAT32) {
- inExpectedTypes = {OperandType::TENSOR_FLOAT32,
- OperandType::TENSOR_INT32};
+ NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_1));
+ inExpectedTypes = {
+ OperandType::TENSOR_FLOAT32,
+ OperandType::TENSOR_INT32,
+ };
outExpectedTypes = {OperandType::TENSOR_FLOAT32};
+ } else if (inputType == OperandType::TENSOR_FLOAT16) {
+ NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_2));
+ inExpectedTypes = {
+ OperandType::TENSOR_FLOAT16,
+ OperandType::TENSOR_INT32,
+ };
+ outExpectedTypes = {OperandType::TENSOR_FLOAT16};
} else if (inputType == OperandType::TENSOR_QUANT8_ASYMM) {
- inExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM,
- OperandType::TENSOR_INT32};
+ NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_1));
+ inExpectedTypes = {
+ OperandType::TENSOR_QUANT8_ASYMM,
+ OperandType::TENSOR_INT32,
+ };
outExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
- NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_1));
return validateOperationOperandTypes(operands, inputCount, inputIndexes,
inExpectedTypes, outputCount, outputIndexes,
outExpectedTypes);
@@ -1574,23 +1737,36 @@
std::vector<OperandType> inExpectedTypes;
std::vector<OperandType> outExpectedTypes;
if (inputType == OperandType::TENSOR_FLOAT32) {
- inExpectedTypes = {OperandType::TENSOR_FLOAT32, OperandType::TENSOR_INT32,
- OperandType::FLOAT32};
+ NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_2));
+ inExpectedTypes = {
+ OperandType::TENSOR_FLOAT32,
+ OperandType::TENSOR_INT32,
+ OperandType::FLOAT32,
+ };
outExpectedTypes = {OperandType::TENSOR_FLOAT32};
+ } else if (inputType == OperandType::TENSOR_FLOAT16) {
+ NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_2));
+ inExpectedTypes = {
+ OperandType::TENSOR_FLOAT16,
+ OperandType::TENSOR_INT32,
+ OperandType::FLOAT32,
+ };
+ outExpectedTypes = {OperandType::TENSOR_FLOAT16};
} else if (inputType == OperandType::TENSOR_QUANT8_ASYMM) {
- inExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM, OperandType::TENSOR_INT32,
- OperandType::INT32}; // TODO(b/116699425): Make it UINT8.
+ NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_2));
+ inExpectedTypes = {
+ OperandType::TENSOR_QUANT8_ASYMM,
+ OperandType::TENSOR_INT32,
+ OperandType::INT32,
+ }; // TODO(b/116699425): Make it UINT8.
outExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
- NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_2));
- return validateOperationOperandTypes(operands,
- inputCount, inputIndexes,
- inExpectedTypes,
- outputCount, outputIndexes,
+ return validateOperationOperandTypes(operands, inputCount, inputIndexes,
+ inExpectedTypes, outputCount, outputIndexes,
outExpectedTypes);
}
case ANEURALNETWORKS_CAST: {
@@ -1608,7 +1784,7 @@
inExpectedTypes = {inputType};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
std::vector<OperandType> outExpectedTypes;
@@ -1619,7 +1795,7 @@
outExpectedTypes = {outputType};
} else {
LOG(ERROR) << "Unsupported output tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_2));
@@ -1636,19 +1812,24 @@
std::vector<OperandType> inExpectedTypes;
std::vector<OperandType> outExpectedTypes;
if (inputType == OperandType::TENSOR_FLOAT32) {
+ NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_1));
inExpectedTypes = {OperandType::TENSOR_FLOAT32,
OperandType::TENSOR_INT32};
outExpectedTypes = {OperandType::TENSOR_FLOAT32};
+ } else if (inputType == OperandType::TENSOR_FLOAT16) {
+ NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_2));
+ inExpectedTypes = {OperandType::TENSOR_FLOAT16, OperandType::TENSOR_INT32};
+ outExpectedTypes = {OperandType::TENSOR_FLOAT16};
} else if (inputType == OperandType::TENSOR_QUANT8_ASYMM) {
+ NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_1));
inExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM,
OperandType::TENSOR_INT32};
outExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
- NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_1));
return validateOperationOperandTypes(operands,
inputCount, inputIndexes,
inExpectedTypes,
@@ -1664,19 +1845,22 @@
std::vector<OperandType> inExpectedTypes;
std::vector<OperandType> outExpectedTypes;
if (inputType == OperandType::TENSOR_FLOAT32) {
- inExpectedTypes = {OperandType::TENSOR_FLOAT32,
- OperandType::TENSOR_INT32};
+ NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_1));
+ inExpectedTypes = {OperandType::TENSOR_FLOAT32, OperandType::TENSOR_INT32};
outExpectedTypes = {OperandType::TENSOR_FLOAT32};
+ } else if (inputType == OperandType::TENSOR_FLOAT16) {
+ NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_2));
+ inExpectedTypes = {OperandType::TENSOR_FLOAT16, OperandType::TENSOR_INT32};
+ outExpectedTypes = {OperandType::TENSOR_FLOAT16};
} else if (inputType == OperandType::TENSOR_QUANT8_ASYMM) {
- inExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM,
- OperandType::TENSOR_INT32};
+ NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_1));
+ inExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM, OperandType::TENSOR_INT32};
outExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
- NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_1));
return validateOperationOperandTypes(operands,
inputCount, inputIndexes,
inExpectedTypes,
@@ -1692,33 +1876,42 @@
std::vector<OperandType> inExpectedTypes;
std::vector<OperandType> outExpectedTypes;
if (inputType == OperandType::TENSOR_FLOAT32) {
- inExpectedTypes = {OperandType::TENSOR_FLOAT32,
- OperandType::TENSOR_INT32,
- OperandType::TENSOR_INT32,
- OperandType::TENSOR_INT32,
- OperandType::INT32,
- OperandType::INT32,
- OperandType::INT32};
+ NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_1));
+ inExpectedTypes = {
+ OperandType::TENSOR_FLOAT32, OperandType::TENSOR_INT32,
+ OperandType::TENSOR_INT32, OperandType::TENSOR_INT32,
+ OperandType::INT32, OperandType::INT32,
+ OperandType::INT32,
+ };
outExpectedTypes = {OperandType::TENSOR_FLOAT32};
+ } else if (inputType == OperandType::TENSOR_FLOAT16) {
+ NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_2));
+ inExpectedTypes = {
+ OperandType::TENSOR_FLOAT16, OperandType::TENSOR_INT32,
+ OperandType::TENSOR_INT32, OperandType::TENSOR_INT32,
+ OperandType::INT32, OperandType::INT32,
+ OperandType::INT32,
+ };
+ outExpectedTypes = {OperandType::TENSOR_FLOAT16};
} else if (inputType == OperandType::TENSOR_QUANT8_ASYMM) {
- inExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM,
- OperandType::TENSOR_INT32,
- OperandType::TENSOR_INT32,
- OperandType::TENSOR_INT32,
- OperandType::INT32,
- OperandType::INT32,
- OperandType::INT32};
+ NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_1));
+ inExpectedTypes = {
+ OperandType::TENSOR_QUANT8_ASYMM,
+ OperandType::TENSOR_INT32,
+ OperandType::TENSOR_INT32,
+ OperandType::TENSOR_INT32,
+ OperandType::INT32,
+ OperandType::INT32,
+ OperandType::INT32,
+ };
outExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
- NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_1));
- return validateOperationOperandTypes(operands,
- inputCount, inputIndexes,
- inExpectedTypes,
- outputCount, outputIndexes,
+ return validateOperationOperandTypes(operands, inputCount, inputIndexes,
+ inExpectedTypes, outputCount, outputIndexes,
outExpectedTypes);
}
case ANEURALNETWORKS_DIV: {
@@ -1744,7 +1937,7 @@
NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_2));
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_1));
@@ -1774,7 +1967,7 @@
NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_2));
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
return validateOperationOperandTypes(operands,
@@ -1803,7 +1996,7 @@
outExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_1));
@@ -1822,14 +2015,15 @@
auto inputType = operands[inputIndexes[0]].type;
std::vector<OperandType> inExpectedTypes;
std::vector<OperandType> outExpectedTypes;
- if (inputType == OperandType::TENSOR_FLOAT32 ||
+ if (inputType == OperandType::TENSOR_FLOAT16 ||
+ inputType == OperandType::TENSOR_FLOAT32 ||
inputType == OperandType::TENSOR_INT32 ||
inputType == OperandType::TENSOR_QUANT8_ASYMM) {
inExpectedTypes = {inputType, OperandType::INT32};
outExpectedTypes = {OperandType::TENSOR_INT32};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_2));
@@ -1852,7 +2046,7 @@
outExpectedTypes = {inputType};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_2));
@@ -1860,36 +2054,10 @@
inExpectedTypes, outputCount, outputIndexes,
outExpectedTypes);
}
- case ANEURALNETWORKS_GATHER: {
- if (inputCount != 3 || outputCount != 1) {
- logInvalidInOutNumber(3, 1);
- return ANEURALNETWORKS_BAD_DATA;
- }
- auto inputType = operands[inputIndexes[0]].type;
- std::vector<OperandType> inExpectedTypes;
- std::vector<OperandType> outExpectedTypes;
- if (inputType == OperandType::TENSOR_FLOAT16 ||
- inputType == OperandType::TENSOR_FLOAT32 ||
- inputType == OperandType::TENSOR_INT32 ||
- inputType == OperandType::TENSOR_QUANT8_ASYMM) {
- inExpectedTypes = {inputType, OperandType::INT32, OperandType::TENSOR_INT32};
- outExpectedTypes = {inputType};
- } else {
- LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
- return ANEURALNETWORKS_BAD_DATA;
- }
- NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_2));
- return validateOperationOperandTypes(operands,
- inputCount, inputIndexes,
- inExpectedTypes,
- outputCount, outputIndexes,
- outExpectedTypes);
- }
case ANEURALNETWORKS_SPLIT: {
if (inputCount != 3) {
LOG(ERROR) << "Invalid number of input operands (" << inputCount << ", expected 3)"
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
auto inputType = operands[inputIndexes[0]].type;
@@ -1898,7 +2066,7 @@
inputType != OperandType::TENSOR_INT32 &&
inputType != OperandType::TENSOR_QUANT8_ASYMM) {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
std::vector<OperandType> inExpectedTypes = {inputType, OperandType::INT32,
@@ -1928,6 +2096,30 @@
outExpectedTypes = {inputType};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
+ << getOperationName(opType);
+ return ANEURALNETWORKS_BAD_DATA;
+ }
+ NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_2));
+ return validateOperationOperandTypes(operands, inputCount, inputIndexes,
+ inExpectedTypes, outputCount, outputIndexes,
+ outExpectedTypes);
+ }
+ case ANEURALNETWORKS_ROI_POOLING: {
+ if (inputCount != 5 || outputCount != 1) {
+ logInvalidInOutNumber(5, 1);
+ return ANEURALNETWORKS_BAD_DATA;
+ }
+ std::vector<OperandType> inExpectedTypes;
+ std::vector<OperandType> outExpectedTypes;
+ auto inputType = operands[inputIndexes[0]].type;
+ if (inputType == OperandType::TENSOR_FLOAT32 ||
+ inputType == OperandType::TENSOR_QUANT8_ASYMM) {
+ inExpectedTypes = {inputType, OperandType::TENSOR_FLOAT32,
+ OperandType::TENSOR_INT32, OperandType::FLOAT32,
+ OperandType::BOOL};
+ outExpectedTypes = {inputType};
+ } else {
+ LOG(ERROR) << "Unsupported input tensor type for operation "
<< kOperationNames[opType];
return ANEURALNETWORKS_BAD_DATA;
}
@@ -1968,7 +2160,7 @@
outExpectedTypes = {inputType};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_2));
@@ -1980,7 +2172,7 @@
if ((inputCount != 12 && inputCount != 9) || outputCount != 1) {
LOG(ERROR) << "Invalid number of input operands (" << inputCount
<< ", expected 12 or 9) or output operands (" << outputCount
- << ", expected 1) for operation " << kOperationNames[opType];
+ << ", expected 1) for operation " << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
auto inputType = operands[inputIndexes[0]].type;
@@ -2004,7 +2196,7 @@
outExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
@@ -2037,7 +2229,7 @@
outExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_2));
@@ -2049,7 +2241,7 @@
if ((inputCount != 11 && inputCount != 9) || outputCount != 1) {
LOG(ERROR) << "Invalid number of input operands (" << inputCount
<< ", expected 11 or 9) or output operands (" << outputCount
- << ", expected 1) for operation " << kOperationNames[opType];
+ << ", expected 1) for operation " << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
auto inputType = operands[inputIndexes[0]].type;
@@ -2065,7 +2257,7 @@
outExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
@@ -2103,7 +2295,7 @@
outExpectedTypes = {OperandType::TENSOR_QUANT8_ASYMM};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_2));
@@ -2127,7 +2319,7 @@
outExpectedTypes = {inputType};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
- << kOperationNames[opType];
+ << getOperationName(opType);
return ANEURALNETWORKS_BAD_DATA;
}
NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_2));
@@ -2199,6 +2391,30 @@
outExpectedTypes = {inputType, OperandType::TENSOR_INT32};
} else {
LOG(ERROR) << "Unsupported input tensor type for operation "
+ << getOperationName(opType);
+ return ANEURALNETWORKS_BAD_DATA;
+ }
+ NN_RETURN_IF_ERROR(validateHalVersion(opType, halVersion, HalVersion::V1_2));
+ return validateOperationOperandTypes(operands, inputCount, inputIndexes,
+ inExpectedTypes, outputCount, outputIndexes,
+ outExpectedTypes);
+ }
+ case ANEURALNETWORKS_SLICE: {
+ if (inputCount != 3 || outputCount != 1) {
+ logInvalidInOutNumber(3, 1);
+ return ANEURALNETWORKS_BAD_DATA;
+ }
+ std::vector<OperandType> inExpectedTypes;
+ std::vector<OperandType> outExpectedTypes;
+ OperandType inputType = operands[inputIndexes[0]].type;
+ if (inputType == OperandType::TENSOR_FLOAT16 ||
+ inputType == OperandType::TENSOR_FLOAT32 ||
+ inputType == OperandType::TENSOR_INT32 ||
+ inputType == OperandType::TENSOR_QUANT8_ASYMM) {
+ inExpectedTypes = {inputType, OperandType::TENSOR_INT32, OperandType::TENSOR_INT32};
+ outExpectedTypes = {inputType};
+ } else {
+ LOG(ERROR) << "Unsupported input tensor type for operation "
<< kOperationNames[opType];
return ANEURALNETWORKS_BAD_DATA;
}
@@ -2208,7 +2424,24 @@
outExpectedTypes);
}
default: {
- return ANEURALNETWORKS_BAD_DATA;
+ const OperationRegistration* operationRegistration =
+ OperationResolver::get()->findOperation(static_cast<OperationType>(opType));
+ if (operationRegistration == nullptr) {
+ if (opType >= 0 && opType < kNumberOfOperationTypes) {
+ LOG(ERROR) << getOperationName(opType) << " not registered";
+ } else {
+ LOG(ERROR) << "Operation type " << opType << " not registered";
+ }
+ return ANEURALNETWORKS_UNEXPECTED_NULL;
+ }
+ if (operationRegistration->validate == nullptr) {
+ LOG(ERROR) << "Incomplete operation registration: " << getOperationName(opType);
+ return ANEURALNETWORKS_UNEXPECTED_NULL;
+ }
+ OperationValidationContext context(inputCount, inputIndexes, outputCount, outputIndexes,
+ operands.data(), halVersion);
+ return operationRegistration->validate(&context) ? ANEURALNETWORKS_NO_ERROR
+ : ANEURALNETWORKS_BAD_DATA;
}
}
}
diff --git a/nn/common/include/CpuExecutor.h b/nn/common/include/CpuExecutor.h
index 809b59c..ba20e53 100644
--- a/nn/common/include/CpuExecutor.h
+++ b/nn/common/include/CpuExecutor.h
@@ -178,9 +178,9 @@
template <typename T>
T getScalarData(const RunTimeOperandInfo& info) {
- // TODO: Check buffer is at least as long as size of data.
- T* data = reinterpret_cast<T*>(info.buffer);
- return data[0];
+ // TODO: Check buffer is at least as long as size of data.
+ T* data = reinterpret_cast<T*>(info.buffer);
+ return data[0];
}
inline bool IsNullInput(const RunTimeOperandInfo *input) {
diff --git a/nn/common/include/OperationResolver.h b/nn/common/include/OperationResolver.h
new file mode 100644
index 0000000..6fac780
--- /dev/null
+++ b/nn/common/include/OperationResolver.h
@@ -0,0 +1,109 @@
+/*
+ * Copyright (C) 2018 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef ANDROID_ML_NN_COMMON_OPERATION_RESOLVER_H
+#define ANDROID_ML_NN_COMMON_OPERATION_RESOLVER_H
+
+#include "HalInterfaces.h"
+#include "OperationsUtils.h"
+
+namespace android {
+namespace nn {
+
+// Encapsulates an operation implementation.
+struct OperationRegistration {
+ OperationType type;
+ const char* name;
+
+ // Validates operand types, shapes, and any values known during graph creation.
+ std::function<bool(const IOperationValidationContext*)> validate;
+
+ // prepare is called when the inputs this operation depends on have been
+ // computed. Typically, prepare does any remaining validation and requests
+ // output tensors to be resized via context->resizeOutputTensor(...).
+ std::function<bool(IOperationExecutionContext*)> prepare;
+
+ // Executes the operation, reading from context->getInputBuffer(...)
+ // and writing to context->getOutputBuffer(...).
+ std::function<bool(IOperationExecutionContext*)> execute;
+};
+
+// A global singleton used to register operation implementations.
+//
+// Usage:
+// const OperationRegistration* operationRegistration =
+// OperationResolver::get()->findOperation(operationType);
+// NN_RET_CHECK(operationRegistration != nullptr);
+// NN_RET_CHECK(operationRegistration->validate != nullptr);
+// NN_RET_CHECK(operationRegistration->validate(&context));
+//
+class OperationResolver {
+ DISALLOW_COPY_AND_ASSIGN(OperationResolver);
+
+ public:
+ static const OperationResolver* get() {
+ static OperationResolver instance;
+ return &instance;
+ }
+
+ const OperationRegistration* findOperation(OperationType operationType) const;
+
+ private:
+ OperationResolver();
+
+ void registerOperation(const OperationRegistration* operationRegistration);
+
+ const OperationRegistration* mRegistrations[kNumberOfOperationTypes] = {};
+};
+
+// NN_REGISTER_OPERATION creates OperationRegistration for consumption by
+// OperationResolver.
+//
+// Usage:
+// namespace android {
+// namespace nn {
+// namespace gather {
+// ...
+// } // namespace gather
+//
+// NN_REGISTER_OPERATION(GATHER, gather::kOperationName, gather::validate,
+// gather::prepare, gather::execute);
+// } // namespace nn
+// } // namespace android
+//
+#ifdef NN_INCLUDE_CPU_IMPLEMENTATION
+#define NN_REGISTER_OPERATION(identifier, operationName, validate, prepare, execute) \
+ const OperationRegistration* register_##identifier() { \
+ static OperationRegistration registration = {OperationType::identifier, operationName, \
+ validate, prepare, execute}; \
+ return ®istration; \
+ }
+#else
+// This version ignores CPU execution logic (prepare and execute).
+// The compiler is supposed to omit that code so that only validation logic
+// makes it into libneuralnetworks_utils.
+#define NN_REGISTER_OPERATION(identifier, operationName, validate, unused_prepare, unused_execute) \
+ const OperationRegistration* register_##identifier() { \
+ static OperationRegistration registration = {OperationType::identifier, operationName, \
+ validate, nullptr, nullptr}; \
+ return ®istration; \
+ }
+#endif
+
+} // namespace nn
+} // namespace android
+
+#endif // ANDROID_ML_NN_COMMON_OPERATION_RESOLVER_H
diff --git a/nn/common/include/Operations.h b/nn/common/include/Operations.h
index e9259b6..feed2b7 100644
--- a/nn/common/include/Operations.h
+++ b/nn/common/include/Operations.h
@@ -20,7 +20,6 @@
#include "operations/Cast.h"
#include "operations/EmbeddingLookup.h"
#include "operations/ExpandDims.h"
-#include "operations/Gather.h"
#include "operations/HashtableLookup.h"
#include "operations/LSHProjection.h"
#include "operations/LSTM.h"
@@ -30,6 +29,7 @@
#include "operations/QuantizedLSTM.h"
#include "operations/RNN.h"
#include "operations/SVDF.h"
+#include "operations/Slice.h"
#include "operations/Tile.h"
#include "operations/TopK_V2.h"
@@ -63,17 +63,23 @@
bool quantizeFloat32ToQuant8(const float* inputData, uint8_t* outputData, const Shape& outputShape);
+bool depthwiseConvFloat16(const _Float16* inputData, const Shape& inputShape,
+ const _Float16* filterData, const Shape& filterShape,
+ const _Float16* biasData, const Shape& biasShape, int32_t paddingLeft,
+ int32_t paddingRight, int32_t paddingTop, int32_t paddingBottom,
+ int32_t strideWidth, int32_t strideHeight, int32_t depthMultiplier,
+ int32_t activation, _Float16* outputData, const Shape& outputShape);
bool depthwiseConvFloat32(const float* inputData, const Shape& inputShape, const float* filterData,
const Shape& filterShape, const float* biasData, const Shape& biasShape,
- int32_t padding_left, int32_t padding_right, int32_t padding_top,
- int32_t padding_bottom, int32_t stride_width, int32_t stride_height,
- int32_t depth_multiplier, int32_t activation, float* outputData,
+ int32_t paddingLeft, int32_t paddingRight, int32_t paddingTop,
+ int32_t paddingBottom, int32_t strideWidth, int32_t strideHeight,
+ int32_t depthMultiplier, int32_t activation, float* outputData,
const Shape& outputShape);
bool depthwiseConvQuant8(const uint8_t* inputData, const Shape& inputShape,
const uint8_t* filterData, const Shape& filterShape,
- const int32_t* biasData, const Shape& biasShape, int32_t padding_left,
- int32_t padding_right, int32_t padding_top, int32_t padding_bottom,
- int32_t stride_width, int32_t stride_height, int32_t depth_multiplier,
+ const int32_t* biasData, const Shape& biasShape, int32_t paddingLeft,
+ int32_t paddingRight, int32_t paddingTop, int32_t paddingBottom,
+ int32_t strideWidth, int32_t strideHeight, int32_t depthMultiplier,
int32_t activation, uint8_t* outputData, const Shape& outputShape);
bool convFloat32(const float* inputData, const Shape& inputShape, const float* filterData,
@@ -169,30 +175,33 @@
float bias, float alpha, float beta, int32_t axis, float* outputData,
const Shape& outputShape);
-bool reshapeGeneric(const void* inputData, const Shape& inputShape, void* outputData,
- const Shape& outputShape);
+bool copyData(const void* inputData, const Shape& inputShape, void* outputData,
+ const Shape& outputShape);
+bool resizeBilinearFloat16(const _Float16* inputData, const Shape& inputShape, _Float16* outputData,
+ const Shape& outputShape);
bool resizeBilinearFloat32(const float* inputData, const Shape& inputShape, float* outputData,
const Shape& outputShape);
-bool depthToSpaceGeneric(const uint8_t* inputData, const Shape& inputShape, int32_t blockSize,
- uint8_t* outputData, const Shape& outputShape);
+template <typename T>
+bool depthToSpaceGeneric(const T* inputData, const Shape& inputShape, int32_t blockSize,
+ T* outputData, const Shape& outputShape);
+template <typename T>
+bool spaceToDepthGeneric(const T* inputData, const Shape& inputShape, int32_t blockSize,
+ T* outputData, const Shape& outputShape);
-bool spaceToDepthGeneric(const uint8_t* inputData, const Shape& inputShape, int32_t blockSize,
- uint8_t* outputData, const Shape& outputShape);
+template <typename T>
+bool padGeneric(const T* inputData, const Shape& inputShape, const int32_t* paddings, T pad_value,
+ T* outputData, const Shape& outputShape);
-bool padFloat32(const float* inputData, const Shape& inputShape, const int32_t* paddings,
- float pad_value, float* outputData, const Shape& outputShape);
+template <typename T>
+bool batchToSpaceGeneric(const T* inputData, const Shape& inputShape, const int32_t* blockSize,
+ T* outputData, const Shape& outputShape);
-bool padQuant8(const uint8_t* inputData, const Shape& inputShape, const int32_t* paddings,
- uint8_t pad_value, uint8_t* outputData, const Shape& outputShape);
-
-bool batchToSpaceGeneric(const uint8_t* inputData, const Shape& inputShape,
- const int32_t* blockSize, uint8_t* outputData, const Shape& outputShape);
-
-bool spaceToBatchGeneric(const uint8_t* inputData, const Shape& inputShape,
- const int32_t* blockSize, const int32_t* padding,
- const Shape& paddingShape, uint8_t* outputData, const Shape& outputShape);
+template <typename T>
+bool spaceToBatchGeneric(const T* inputData, const Shape& inputShape, const int32_t* blockSize,
+ const int32_t* padding, const Shape& paddingShape, T* outputData,
+ const Shape& outputShape);
bool subFloat16(const _Float16* in1, const Shape& shape1, const _Float16* in2, const Shape& shape2,
int32_t activation, _Float16* out, const Shape& shapeOut);
@@ -203,16 +212,14 @@
bool subQuant8(const uint8_t* in1, const Shape& shape1, const uint8_t* in2, const Shape& shape2,
int32_t activation, uint8_t* out, const Shape& shapeOut);
-bool squeezeGeneric(const void* inputData, const Shape& inputShape, void* outputData,
- const Shape& outputShape);
-
bool divFloat16(const _Float16* in1, const Shape& shape1, const _Float16* in2, const Shape& shape2,
int32_t activation, _Float16* out, const Shape& shapeOut);
bool divFloat32(const float* in1, const Shape& shape1, const float* in2, const Shape& shape2,
int32_t activation, float* out, const Shape& shapeOut);
-bool transposeGeneric(const uint8_t* inputData, const Shape& inputShape, const int32_t* perm,
- const Shape& permShape, uint8_t* outputData, const Shape& outputShape);
+template <typename T>
+bool transposeGeneric(const T* inputData, const Shape& inputShape, const int32_t* perm,
+ const Shape& permShape, T* outputData, const Shape& outputShape);
bool meanGeneric(const uint8_t* inputData, const Shape& inputShape, const int32_t* axis,
const Shape& axisShape, bool keepDims, uint8_t* outputData,
@@ -250,6 +257,10 @@
const Shape& roiShape, float spatialScale, int32_t samplingRatio,
uint8_t* outputData, const Shape& outputShape);
+bool roiPoolingGeneric(const uint8_t* inputData, const Shape& inputShape, const uint8_t* roiData,
+ const Shape& roiShape, float spatialScale, uint8_t* outputData,
+ const Shape& outputShape);
+
bool heatmapMaxKeypoint(const float* heatmap, const Shape& heatmapShape, const float* boxes,
const Shape& boxesShape, float* outputData, const Shape& outputShape);
diff --git a/nn/common/include/OperationsUtils.h b/nn/common/include/OperationsUtils.h
index b77a0d0..52c6b2c 100644
--- a/nn/common/include/OperationsUtils.h
+++ b/nn/common/include/OperationsUtils.h
@@ -113,6 +113,72 @@
int32_t offset;
};
+// Provides information available during graph creation to validate an operation.
+class IOperationValidationContext {
+ public:
+ virtual ~IOperationValidationContext() {}
+
+ // The HAL version used to validate the operation.
+ // If getHalVersion() returns HalVersion::V1_0 and the operation
+ // is only supported since HalVersion::V1_1, validation will fail.
+ virtual HalVersion getHalVersion() const = 0;
+
+ virtual uint32_t getNumInputs() const = 0;
+ virtual OperandType getInputType(uint32_t index) const = 0;
+ virtual Shape getInputShape(uint32_t index) const = 0;
+
+ virtual uint32_t getNumOutputs() const = 0;
+ virtual OperandType getOutputType(uint32_t index) const = 0;
+ virtual Shape getOutputShape(uint32_t index) const = 0;
+};
+
+// Provides inputs and outputs during operation execution.
+class IOperationExecutionContext {
+ public:
+ virtual ~IOperationExecutionContext() {}
+
+ virtual uint32_t getNumInputs() const = 0;
+ virtual OperandType getInputType(uint32_t index) const = 0;
+ virtual Shape getInputShape(uint32_t index) const = 0;
+ virtual const void* getInputBuffer(uint32_t index) const = 0;
+
+ virtual uint32_t getNumOutputs() const = 0;
+ virtual OperandType getOutputType(uint32_t index) const = 0;
+ virtual Shape getOutputShape(uint32_t index) const = 0;
+ virtual void* getOutputBuffer(uint32_t index) = 0;
+
+ // Requests the output buffer to be resized. Updates the output shape.
+ virtual bool resizeOutputTensor(uint32_t index, const Shape& shape) = 0;
+
+ template <typename T>
+ const T* getInputBuffer(uint32_t index) const {
+ return reinterpret_cast<const T*>(getInputBuffer(index));
+ }
+
+ template <typename T>
+ T* getOutputBuffer(uint32_t index) {
+ return reinterpret_cast<T*>(getOutputBuffer(index));
+ }
+
+ template <typename T>
+ T getInputValue(uint32_t index) const {
+ return getInputBuffer<T>(index)[0];
+ }
+};
+
+// Verifies that the number and types of operation inputs are as expected.
+bool validateInputTypes(const IOperationValidationContext* context,
+ const std::vector<OperandType>& expectedTypes);
+
+// Verifies that the number and types of operation outputs are as expected.
+bool validateOutputTypes(const IOperationValidationContext* context,
+ const std::vector<OperandType>& expectedTypes);
+
+// Verifies that the HAL version specified in the context is greater or equal
+// than the minimal supported HAL version.
+bool validateHalVersion(const IOperationValidationContext* context,
+ HalVersion minSupportedHalVersion);
+
// Verifies that the two shapes are the same.
bool SameShape(const Shape& in1, const Shape& in2);
diff --git a/nn/common/operations/Abs.cpp b/nn/common/operations/Abs.cpp
new file mode 100644
index 0000000..522e460
--- /dev/null
+++ b/nn/common/operations/Abs.cpp
@@ -0,0 +1,90 @@
+/*
+ * Copyright (C) 2018 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#define LOG_TAG "Operations"
+
+#include "HalInterfaces.h"
+#include "OperationResolver.h"
+#include "OperationsUtils.h"
+#include "Tracing.h"
+
+#include <cmath>
+
+namespace android {
+namespace nn {
+namespace abs {
+
+constexpr char kOperationName[] = "ABS";
+
+constexpr uint32_t kNumInputs = 1;
+constexpr uint32_t kInputTensor = 0;
+
+constexpr uint32_t kNumOutputs = 1;
+constexpr uint32_t kOutputTensor = 0;
+
+namespace {
+
+template <typename T>
+inline bool compute(const T* input, const Shape& shape, T* output) {
+ const auto size = getNumberOfElements(shape);
+ for (uint32_t i = 0; i < size; ++i) {
+ output[i] = static_cast<T>(std::abs(static_cast<float>(input[i])));
+ }
+ return true;
+}
+
+} // namespace
+
+bool validate(const IOperationValidationContext* context) {
+ NN_RET_CHECK_EQ(context->getNumInputs(), kNumInputs);
+ NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs);
+ OperandType inputType = context->getInputType(kInputTensor);
+ NN_RET_CHECK(inputType == OperandType::TENSOR_FLOAT16 ||
+ inputType == OperandType::TENSOR_FLOAT32)
+ << "Unsupported tensor type for operation " << kOperationName;
+ NN_RET_CHECK(validateInputTypes(context, {inputType}));
+ NN_RET_CHECK(validateOutputTypes(context, {inputType}));
+ return validateHalVersion(context, HalVersion::V1_2);
+}
+
+bool prepare(IOperationExecutionContext* context) {
+ Shape input = context->getInputShape(kInputTensor);
+ Shape output = context->getOutputShape(kOutputTensor);
+ NN_RET_CHECK(SetShape(input, &output));
+ return context->resizeOutputTensor(kOutputTensor, output);
+}
+
+bool execute(IOperationExecutionContext* context) {
+ switch (context->getInputType(kInputTensor)) {
+ case OperandType::TENSOR_FLOAT16:
+ return compute(context->getInputBuffer<_Float16>(kInputTensor),
+ context->getInputShape(kInputTensor),
+ context->getOutputBuffer<_Float16>(kOutputTensor));
+ case OperandType::TENSOR_FLOAT32:
+ return compute(context->getInputBuffer<float>(kInputTensor),
+ context->getInputShape(kInputTensor),
+ context->getOutputBuffer<float>(kOutputTensor));
+ default:
+ NN_RET_CHECK_FAIL() << "Unsupported tensor type for operation " << kOperationName;
+ }
+}
+
+} // namespace abs
+
+NN_REGISTER_OPERATION(ABS, abs::kOperationName, abs::validate, abs::prepare, abs::execute);
+
+} // namespace nn
+} // namespace android
diff --git a/nn/common/operations/ArgMinMax.cpp b/nn/common/operations/ArgMinMax.cpp
index 87e6d3c..b323d51 100644
--- a/nn/common/operations/ArgMinMax.cpp
+++ b/nn/common/operations/ArgMinMax.cpp
@@ -71,6 +71,7 @@
return true; \
}
+ NNAPI_IMPL_ARG_MIN_MAX(OperandType::TENSOR_FLOAT16, _Float16);
NNAPI_IMPL_ARG_MIN_MAX(OperandType::TENSOR_FLOAT32, float);
NNAPI_IMPL_ARG_MIN_MAX(OperandType::TENSOR_INT32, int32_t);
NNAPI_IMPL_ARG_MIN_MAX(OperandType::TENSOR_QUANT8_ASYMM, uint8_t);
diff --git a/nn/common/operations/Concatenation.cpp b/nn/common/operations/Concatenation.cpp
index 2362f49..d6fecbd 100644
--- a/nn/common/operations/Concatenation.cpp
+++ b/nn/common/operations/Concatenation.cpp
@@ -14,10 +14,11 @@
* limitations under the License.
*/
-#include "Operations.h"
#include "CpuOperationUtils.h"
+#include "Operations.h"
#include "tensorflow/contrib/lite/kernels/internal/optimized/optimized_ops.h"
+#include "tensorflow/contrib/lite/kernels/internal/reference/legacy_reference_ops.h"
#include "Tracing.h"
@@ -50,9 +51,32 @@
template bool concatenation<_Float16>(const std::vector<const _Float16*>& inputDataPtrs,
const std::vector<Shape>& inputShapes, int32_t axis,
_Float16* outputData, const Shape& outputShape);
-template bool concatenation<uint8_t>(const std::vector<const uint8_t*>& inputDataPtrs,
- const std::vector<Shape>& inputShapes, int32_t axis,
- uint8_t* outputData, const Shape& outputShape);
+
+template <>
+bool concatenation<uint8_t>(const std::vector<const uint8_t*>& inputDataPtrs,
+ const std::vector<Shape>& inputShapes, int32_t axis,
+ uint8_t* outputData, const Shape& outputShape) {
+ NNTRACE_TRANS("concatenationQuant8");
+ int num_inputs = inputShapes.size();
+ std::vector<float> inputScales(num_inputs);
+ std::vector<int32> inputOffsets(num_inputs);
+ std::vector<tflite::Dims<4>*> inputDimsPtr(num_inputs);
+ std::vector<tflite::Dims<4> > inputDims(num_inputs);
+ for (int i = 0; i < num_inputs; i++) {
+ inputScales[i] = inputShapes[i].scale;
+ inputOffsets[i] = inputShapes[i].offset;
+ inputDims[i] = convertShapeToDims(inputShapes[i]);
+ inputDimsPtr[i] = &inputDims[i];
+ }
+
+ NNTRACE_COMP_SWITCH("reference_ops::Concatenation");
+ tflite::reference_ops::Concatenation(
+ getNumberOfDimensions(outputShape) - axis - 1, inputDataPtrs.data(),
+ inputDimsPtr.data(), inputOffsets.data(), inputScales.data(), num_inputs, outputData,
+ convertShapeToDims(outputShape), outputShape.offset, outputShape.scale);
+
+ return true;
+}
} // namespace nn
} // namespace android
diff --git a/nn/common/operations/DepthwiseConv2D.cpp b/nn/common/operations/DepthwiseConv2D.cpp
index 60c5e41..9728cf1 100644
--- a/nn/common/operations/DepthwiseConv2D.cpp
+++ b/nn/common/operations/DepthwiseConv2D.cpp
@@ -25,55 +25,70 @@
namespace android {
namespace nn {
-#define ANDROID_NN_DEPTHWISE_CONV_PARAMETERS \
- uint32_t height = getSizeOfDimension(inputShape, 1); \
- uint32_t width = getSizeOfDimension(inputShape, 2); \
- uint32_t filterHeight = getSizeOfDimension(filterShape, 1); \
- uint32_t filterWidth = getSizeOfDimension(filterShape, 2); \
- uint32_t outHeight = getSizeOfDimension(outputShape, 1); \
- uint32_t outWidth = getSizeOfDimension(outputShape, 2); \
- \
- uint32_t paddingHeight = (uint32_t)padding_top; \
- uint32_t paddingWidth = (uint32_t)padding_left;
+bool depthwiseConvFloat16(const _Float16* inputData, const Shape& inputShape,
+ const _Float16* filterData, const Shape& filterShape,
+ const _Float16* biasData, const Shape& biasShape, int32_t paddingLeft,
+ int32_t paddingRight, int32_t paddingTop, int32_t paddingBottom,
+ int32_t strideWidth, int32_t strideHeight, int32_t depthMultiplier,
+ int32_t activation, _Float16* outputData, const Shape& outputShape) {
+ NNTRACE_TRANS("depthwiseConvFloat16");
+ std::vector<float> inputDataFloat32(getNumberOfElements(inputShape));
+ convertFloat16ToFloat32(inputData, &inputDataFloat32);
+ std::vector<float> filterDataFloat32(getNumberOfElements(filterShape));
+ convertFloat16ToFloat32(filterData, &filterDataFloat32);
+ std::vector<float> biasDataFloat32(getNumberOfElements(biasShape));
+ convertFloat16ToFloat32(biasData, &biasDataFloat32);
-bool depthwiseConvFloat32(const float* inputData, const Shape& inputShape,
- const float* filterData, const Shape& filterShape,
- const float* biasData, const Shape& biasShape,
- int32_t padding_left, int32_t padding_right,
- int32_t padding_top, int32_t padding_bottom,
- int32_t stride_width, int32_t stride_height,
- int32_t depth_multiplier, int32_t activation,
- float* outputData, const Shape& outputShape) {
+ std::vector<float> outputDataFloat32(getNumberOfElements(outputShape));
+ depthwiseConvFloat32(inputDataFloat32.data(), inputShape, filterDataFloat32.data(), filterShape,
+ biasDataFloat32.data(), biasShape, paddingLeft, paddingRight, paddingTop,
+ paddingBottom, strideWidth, strideHeight, depthMultiplier, activation,
+ outputDataFloat32.data(), outputShape);
+
+ convertFloat32ToFloat16(outputDataFloat32, outputData);
+ return true;
+}
+
+#define ANDROID_NN_DEPTHWISE_CONV_PARAMETERS \
+ uint32_t height = getSizeOfDimension(inputShape, 1); \
+ uint32_t width = getSizeOfDimension(inputShape, 2); \
+ uint32_t filterHeight = getSizeOfDimension(filterShape, 1); \
+ uint32_t filterWidth = getSizeOfDimension(filterShape, 2); \
+ uint32_t outHeight = getSizeOfDimension(outputShape, 1); \
+ uint32_t outWidth = getSizeOfDimension(outputShape, 2); \
+ \
+ uint32_t paddingHeight = (uint32_t)paddingTop; \
+ uint32_t paddingWidth = (uint32_t)paddingLeft;
+
+bool depthwiseConvFloat32(const float* inputData, const Shape& inputShape, const float* filterData,
+ const Shape& filterShape, const float* biasData, const Shape& biasShape,
+ int32_t paddingLeft, int32_t paddingRight, int32_t paddingTop,
+ int32_t paddingBottom, int32_t strideWidth, int32_t strideHeight,
+ int32_t depthMultiplier, int32_t activation, float* outputData,
+ const Shape& outputShape) {
NNTRACE_TRANS("depthwiseConvFloat32");
ANDROID_NN_DEPTHWISE_CONV_PARAMETERS
float output_activation_min, output_activation_max;
- CalculateActivationRangeFloat(activation, &output_activation_min,
- &output_activation_max);
+ CalculateActivationRangeFloat(activation, &output_activation_min, &output_activation_max);
NNTRACE_COMP_SWITCH("optimized_ops::DepthwiseConv");
tflite::optimized_ops::DepthwiseConv(
- inputData, convertShapeToDims(inputShape),
- filterData, convertShapeToDims(filterShape),
- biasData, convertShapeToDims(biasShape),
- stride_width, stride_height,
- paddingWidth, paddingHeight, depth_multiplier,
- output_activation_min, output_activation_max,
+ inputData, convertShapeToDims(inputShape), filterData, convertShapeToDims(filterShape),
+ biasData, convertShapeToDims(biasShape), strideWidth, strideHeight, paddingWidth,
+ paddingHeight, depthMultiplier, output_activation_min, output_activation_max,
outputData, convertShapeToDims(outputShape));
return true;
}
-
bool depthwiseConvQuant8(const uint8_t* inputData, const Shape& inputShape,
const uint8_t* filterData, const Shape& filterShape,
- const int32_t* biasData, const Shape& biasShape,
- int32_t padding_left, int32_t padding_right,
- int32_t padding_top, int32_t padding_bottom,
- int32_t stride_width, int32_t stride_height,
- int32_t depth_multiplier, int32_t activation,
- uint8_t* outputData, const Shape& outputShape) {
+ const int32_t* biasData, const Shape& biasShape, int32_t paddingLeft,
+ int32_t paddingRight, int32_t paddingTop, int32_t paddingBottom,
+ int32_t strideWidth, int32_t strideHeight, int32_t depthMultiplier,
+ int32_t activation, uint8_t* outputData, const Shape& outputShape) {
NNTRACE_TRANS("depthwiseConvQuant8");
ANDROID_NN_DEPTHWISE_CONV_PARAMETERS
@@ -101,13 +116,10 @@
NNTRACE_COMP_SWITCH("optimized_ops::DepthwiseConv");
tflite::optimized_ops::DepthwiseConv(
- inputData, convertShapeToDims(inputShape), inputOffset,
- filterData, convertShapeToDims(filterShape), filterOffset,
- biasData, convertShapeToDims(biasShape),
- stride_width, stride_height,
- paddingWidth, paddingHeight, depth_multiplier,
- outputOffset, output_multiplier, output_shift,
- output_activation_min, output_activation_max,
+ inputData, convertShapeToDims(inputShape), inputOffset, filterData,
+ convertShapeToDims(filterShape), filterOffset, biasData, convertShapeToDims(biasShape),
+ strideWidth, strideHeight, paddingWidth, paddingHeight, depthMultiplier, outputOffset,
+ output_multiplier, output_shift, output_activation_min, output_activation_max,
outputData, convertShapeToDims(outputShape));
return true;
diff --git a/nn/common/operations/Gather.cpp b/nn/common/operations/Gather.cpp
index 0c8f7d6..82eec67 100644
--- a/nn/common/operations/Gather.cpp
+++ b/nn/common/operations/Gather.cpp
@@ -16,29 +16,42 @@
#define LOG_TAG "Operations"
-#include "Gather.h"
+#include "HalInterfaces.h"
+#include "OperationResolver.h"
+#include "OperationsUtils.h"
#include "Tracing.h"
namespace android {
namespace nn {
namespace gather {
+constexpr char kOperationName[] = "GATHER";
+
+constexpr uint32_t kNumInputs = 3;
+constexpr uint32_t kInputTensor = 0;
+constexpr uint32_t kInputAxis = 1;
+constexpr uint32_t kInputIndices = 2;
+
+constexpr uint32_t kNumOutputs = 1;
+constexpr uint32_t kOutputTensor = 0;
+
namespace {
template <typename T>
-inline bool gatherImpl(const T* inputData, const Shape& inputShape, int32_t axis,
- const int32_t* indicesData, const Shape& indicesShape, T* outputData,
- const Shape& outputShape) {
+inline bool eval(const T* inputData, const Shape& inputShape, int32_t axis,
+ const int32_t* indicesData, const Shape& indicesShape, T* outputData) {
const auto outerSize = getNumberOfElements(inputShape, 0, axis);
const auto axisSize = getSizeOfDimension(inputShape, axis);
const auto innerSize =
getNumberOfElements(inputShape, axis + 1, getNumberOfDimensions(inputShape));
const auto indicesCount = getNumberOfElements(indicesShape);
- for (int outer = 0; outer < outerSize; ++outer) {
- for (int i = 0; i < indicesCount; ++i) {
- NN_OPS_CHECK(0 <= indicesData[i] && indicesData[i] < axisSize);
- std::memcpy(outputData + (outer * indicesCount + i) * innerSize,
- inputData + (outer * axisSize + indicesData[i]) * innerSize,
+ for (uint32_t outer = 0; outer < outerSize; ++outer) {
+ for (uint32_t outputIndex = 0; outputIndex < indicesCount; ++outputIndex) {
+ const auto inputIndex = static_cast<uint32_t>(indicesData[outputIndex]);
+ NN_RET_CHECK_LE(0u, inputIndex);
+ NN_RET_CHECK_LT(inputIndex, axisSize);
+ std::memcpy(outputData + (outer * indicesCount + outputIndex) * innerSize,
+ inputData + (outer * axisSize + inputIndex) * innerSize,
sizeof(T) * innerSize);
}
}
@@ -47,45 +60,76 @@
} // namespace
-bool prepare(const Shape& input, int32_t axis, const Shape& indices, Shape* output) {
- NN_CHECK(handleNegativeAxis(input, &axis));
- output->dimensions.clear();
- output->dimensions.reserve(getNumberOfDimensions(input) + getNumberOfDimensions(indices) - 1);
- output->dimensions.insert(output->dimensions.end(), input.dimensions.begin(),
- input.dimensions.begin() + axis);
- output->dimensions.insert(output->dimensions.end(), indices.dimensions.begin(),
- indices.dimensions.end());
- output->dimensions.insert(output->dimensions.end(), input.dimensions.begin() + axis + 1,
- input.dimensions.end());
- return true;
+bool validate(const IOperationValidationContext* context) {
+ NN_RET_CHECK_EQ(context->getNumInputs(), kNumInputs);
+ NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs);
+ OperandType inputType = context->getInputType(kInputTensor);
+ NN_RET_CHECK(
+ inputType == OperandType::TENSOR_FLOAT16 || inputType == OperandType::TENSOR_FLOAT32 ||
+ inputType == OperandType::TENSOR_INT32 || inputType == OperandType::TENSOR_QUANT8_ASYMM)
+ << "Unsupported tensor type for operation " << kOperationName;
+ NN_RET_CHECK(validateInputTypes(context,
+ {inputType, OperandType::INT32, OperandType::TENSOR_INT32}));
+ NN_RET_CHECK(validateOutputTypes(context, {inputType}));
+ return validateHalVersion(context, HalVersion::V1_2);
}
-bool compute(const uint8_t* inputData, const Shape& inputShape, int32_t axis,
- const int32_t* indicesData, const Shape& indicesShape, uint8_t* outputData,
- const Shape& outputShape) {
- NNTRACE_TRANS("gather::compute");
- NN_CHECK(handleNegativeAxis(inputShape, &axis));
+bool prepare(IOperationExecutionContext* context) {
+ Shape input = context->getInputShape(kInputTensor);
+ int32_t axis = context->getInputValue<int32_t>(kInputAxis);
+ NN_RET_CHECK(handleNegativeAxis(input, &axis));
+ Shape indices = context->getInputShape(kInputIndices);
+ Shape output = context->getOutputShape(kOutputTensor);
-#define ANDROID_NN_GATHER(operandType, dataType) \
- case operandType: { \
- NNTRACE_TRANS("gatherImpl::" #dataType); \
- gatherImpl(reinterpret_cast<const dataType*>(inputData), inputShape, axis, indicesData, \
- indicesShape, reinterpret_cast<dataType*>(outputData), outputShape); \
- return true; \
- }
+ output.dimensions.clear();
+ output.dimensions.reserve(getNumberOfDimensions(input) + getNumberOfDimensions(indices) - 1);
+ output.dimensions.insert(output.dimensions.end(), input.dimensions.begin(),
+ input.dimensions.begin() + axis);
+ output.dimensions.insert(output.dimensions.end(), indices.dimensions.begin(),
+ indices.dimensions.end());
+ output.dimensions.insert(output.dimensions.end(), input.dimensions.begin() + axis + 1,
+ input.dimensions.end());
- switch (inputShape.type) {
- ANDROID_NN_GATHER(OperandType::TENSOR_FLOAT16, _Float16);
- ANDROID_NN_GATHER(OperandType::TENSOR_FLOAT32, float);
- ANDROID_NN_GATHER(OperandType::TENSOR_INT32, int32_t);
- ANDROID_NN_GATHER(OperandType::TENSOR_QUANT8_ASYMM, uint8_t);
+ return context->resizeOutputTensor(kOutputTensor, output);
+}
+
+bool execute(IOperationExecutionContext* context) {
+ int32_t axis = context->getInputValue<int32_t>(kInputAxis);
+ NN_RET_CHECK(handleNegativeAxis(context->getInputShape(kInputTensor), &axis));
+ switch (context->getInputType(kInputTensor)) {
+ case OperandType::TENSOR_FLOAT16:
+ return eval(context->getInputBuffer<_Float16>(kInputTensor),
+ context->getInputShape(kInputTensor), axis,
+ context->getInputBuffer<int32_t>(kInputIndices),
+ context->getInputShape(kInputIndices),
+ context->getOutputBuffer<_Float16>(kOutputTensor));
+ case OperandType::TENSOR_FLOAT32:
+ return eval(context->getInputBuffer<float>(kInputTensor),
+ context->getInputShape(kInputTensor), axis,
+ context->getInputBuffer<int32_t>(kInputIndices),
+ context->getInputShape(kInputIndices),
+ context->getOutputBuffer<float>(kOutputTensor));
+ case OperandType::TENSOR_INT32:
+ return eval(context->getInputBuffer<int32_t>(kInputTensor),
+ context->getInputShape(kInputTensor), axis,
+ context->getInputBuffer<int32_t>(kInputIndices),
+ context->getInputShape(kInputIndices),
+ context->getOutputBuffer<int32_t>(kOutputTensor));
+ case OperandType::TENSOR_QUANT8_ASYMM:
+ return eval(context->getInputBuffer<uint8_t>(kInputTensor),
+ context->getInputShape(kInputTensor), axis,
+ context->getInputBuffer<int32_t>(kInputIndices),
+ context->getInputShape(kInputIndices),
+ context->getOutputBuffer<uint8_t>(kOutputTensor));
default:
- LOG(ERROR) << "Unsupported GATHER output type";
- return false;
+ NN_RET_CHECK_FAIL() << "Unsupported tensor type for operation " << kOperationName;
}
-#undef ANDROID_NN_GATHER
}
} // namespace gather
+
+NN_REGISTER_OPERATION(GATHER, gather::kOperationName, gather::validate, gather::prepare,
+ gather::execute);
+
} // namespace nn
} // namespace android
diff --git a/nn/common/operations/Gather.h b/nn/common/operations/Gather.h
deleted file mode 100644
index 95d61a0..0000000
--- a/nn/common/operations/Gather.h
+++ /dev/null
@@ -1,36 +0,0 @@
-/*
- * Copyright (C) 2018 The Android Open Source Project
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-#ifndef FRAMEWORKS_ML_NN_GATHER_H
-#define FRAMEWORKS_ML_NN_GATHER_H
-
-#include "CpuOperationUtils.h"
-
-namespace android {
-namespace nn {
-namespace gather {
-
-bool prepare(const Shape& input, int32_t axis, const Shape& indices, Shape* output);
-
-bool compute(const uint8_t* inputData, const Shape& inputShape, int32_t axis,
- const int32_t* indicesData, const Shape& indicesShape, uint8_t* outputData,
- const Shape& outputShape);
-
-} // namespace gather
-} // namespace nn
-} // namespace android
-
-#endif // FRAMEWORKS_ML_NN_GATHER_H
diff --git a/nn/common/operations/Reshape.cpp b/nn/common/operations/Reshape.cpp
index dc46bfb..ba65bb1 100644
--- a/nn/common/operations/Reshape.cpp
+++ b/nn/common/operations/Reshape.cpp
@@ -29,19 +29,32 @@
namespace android {
namespace nn {
-bool reshapeGeneric(const void* inputData, const Shape& inputShape,
- void* outputData, const Shape& outputShape) {
- NNTRACE_COMP("reshapeGeneric");
+bool copyData(const void* inputData, const Shape& inputShape, void* outputData,
+ const Shape& outputShape) {
+ NNTRACE_COMP("copyData");
size_t count = sizeOfData(inputShape.type, inputShape.dimensions);
memcpy(outputData, inputData, count);
return true;
}
+bool resizeBilinearFloat16(const _Float16* inputData, const Shape& inputShape, _Float16* outputData,
+ const Shape& outputShape) {
+ NNTRACE_TRANS("resizeBilinearFloat16");
+ std::vector<float> inputData_float32(getNumberOfElements(inputShape));
+ convertFloat16ToFloat32(inputData, &inputData_float32);
+ std::vector<float> outputData_float32(getNumberOfElements(outputShape));
+
+ resizeBilinearFloat32(inputData_float32.data(), inputShape, outputData_float32.data(),
+ outputShape);
+ convertFloat32ToFloat16(outputData_float32, outputData);
+ return true;
+}
+
bool resizeBilinearFloat32(const float* inputData, const Shape& inputShape,
float* outputData, const Shape& outputShape) {
NNTRACE_TRANS("resizeBilinearFloat32");
- int32_t height = (int32_t) getSizeOfDimension(outputShape, 1);
- int32_t width = (int32_t) getSizeOfDimension(outputShape, 2);
+ int32_t height = static_cast<int32_t>(getSizeOfDimension(outputShape, 1));
+ int32_t width = static_cast<int32_t>(getSizeOfDimension(outputShape, 2));
int32_t outDimData[2] = {height, width};
// We have to fake a tensor here, to satisfy ResizeBilinear().
@@ -56,63 +69,45 @@
return true;
}
-bool depthToSpaceGeneric(const uint8_t* inputData, const Shape& inputShape,
- int32_t blockSize,
- uint8_t* outputData, const Shape& outputShape) {
- NNTRACE_TRANS("depthToSpaceGeneric");
- if (inputShape.type == OperandType::TENSOR_FLOAT32) {
- NNTRACE_COMP_SWITCH("optimized_ops::DepthToSpace::float");
- tflite::optimized_ops::DepthToSpace(
- reinterpret_cast<const float*>(inputData),
- convertShapeToDims(inputShape),
- blockSize,
- reinterpret_cast<float*>(outputData),
- convertShapeToDims(outputShape));
- } else if (inputShape.type == OperandType::TENSOR_QUANT8_ASYMM) {
- NNTRACE_COMP_SWITCH("optimized_ops::DepthToSpace::uint8");
- tflite::optimized_ops::DepthToSpace(
- reinterpret_cast<const uint8_t*>(inputData),
- convertShapeToDims(inputShape),
- blockSize,
- reinterpret_cast<uint8_t*>(outputData),
- convertShapeToDims(outputShape));
- } else {
- LOG(ERROR) << "Unsupported data type";
- return false;
- }
+template <typename T>
+bool depthToSpaceGeneric(const T* inputData, const Shape& inputShape, int32_t blockSize,
+ T* outputData, const Shape& outputShape) {
+ NNTRACE_COMP("optimized_ops::DepthToSpace");
+ tflite::optimized_ops::DepthToSpace(inputData, convertShapeToDims(inputShape), blockSize,
+ outputData, convertShapeToDims(outputShape));
return true;
}
-
-bool spaceToDepthGeneric(const uint8_t* inputData, const Shape& inputShape,
- int32_t blockSize,
- uint8_t* outputData, const Shape& outputShape) {
- NNTRACE_TRANS("spaceToDepthGeneric");
- if (inputShape.type == OperandType::TENSOR_FLOAT32) {
- NNTRACE_COMP_SWITCH("optimized_ops::SpaceToDepth::float");
- tflite::optimized_ops::SpaceToDepth(
- reinterpret_cast<const float*>(inputData),
- convertShapeToDims(inputShape),
- blockSize,
- reinterpret_cast<float*>(outputData),
- convertShapeToDims(outputShape));
- } else if (inputShape.type == OperandType::TENSOR_QUANT8_ASYMM) {
- NNTRACE_COMP_SWITCH("optimized_ops::SpaceToDepth::uint8");
- tflite::optimized_ops::SpaceToDepth(
- reinterpret_cast<const uint8_t*>(inputData),
- convertShapeToDims(inputShape),
- blockSize,
- reinterpret_cast<uint8_t*>(outputData),
- convertShapeToDims(outputShape));
- } else {
- LOG(ERROR) << "Unsupported data type";
- return false;
- }
- return true;
-}
+template bool depthToSpaceGeneric<float>(const float* inputData, const Shape& inputShape,
+ int32_t blockSize, float* outputData,
+ const Shape& outputShape);
+template bool depthToSpaceGeneric<_Float16>(const _Float16* inputData, const Shape& inputShape,
+ int32_t blockSize, _Float16* outputData,
+ const Shape& outputShape);
+template bool depthToSpaceGeneric<uint8_t>(const uint8_t* inputData, const Shape& inputShape,
+ int32_t blockSize, uint8_t* outputData,
+ const Shape& outputShape);
template <typename T>
-static bool padGeneric(const T* inputData, const Shape& inputShape, const int32_t* paddings,
- T padValue, T* outputData, const Shape& outputShape) {
+bool spaceToDepthGeneric(const T* inputData, const Shape& inputShape, int32_t blockSize,
+ T* outputData, const Shape& outputShape) {
+ NNTRACE_COMP("optimized_ops::SpaceToDepth");
+ tflite::optimized_ops::SpaceToDepth(inputData, convertShapeToDims(inputShape), blockSize,
+ outputData, convertShapeToDims(outputShape));
+ return true;
+}
+template bool spaceToDepthGeneric<float>(const float* inputData, const Shape& inputShape,
+ int32_t blockSize, float* outputData,
+ const Shape& outputShape);
+template bool spaceToDepthGeneric<_Float16>(const _Float16* inputData, const Shape& inputShape,
+ int32_t blockSize, _Float16* outputData,
+ const Shape& outputShape);
+template bool spaceToDepthGeneric<uint8_t>(const uint8_t* inputData, const Shape& inputShape,
+ int32_t blockSize, uint8_t* outputData,
+ const Shape& outputShape);
+
+template <typename T>
+bool padGeneric(const T* inputData, const Shape& inputShape, const int32_t* paddings, T padValue,
+ T* outputData, const Shape& outputShape) {
NNTRACE_TRANS("padGeneric");
// Based on
@@ -210,92 +205,66 @@
return true;
}
+template bool padGeneric<float>(const float* inputData, const Shape& inputShape,
+ const int32_t* paddings, float padValue, float* outputData,
+ const Shape& outputShape);
+template bool padGeneric<_Float16>(const _Float16* inputData, const Shape& inputShape,
+ const int32_t* paddings, _Float16 padValue, _Float16* outputData,
+ const Shape& outputShape);
+template bool padGeneric<uint8_t>(const uint8_t* inputData, const Shape& inputShape,
+ const int32_t* paddings, uint8_t padValue, uint8_t* outputData,
+ const Shape& outputShape);
-bool padFloat32(const float* inputData, const Shape& inputShape, const int32_t* paddings,
- float padValue, float* outputData, const Shape& outputShape) {
- return padGeneric(inputData, inputShape, paddings, padValue, outputData, outputShape);
-}
-
-bool padQuant8(const uint8_t* inputData, const Shape& inputShape, const int32_t* paddings,
- uint8_t padValue, uint8_t* outputData, const Shape& outputShape) {
- return padGeneric(inputData, inputShape, paddings, padValue, outputData, outputShape);
-}
-
-bool batchToSpaceGeneric(const uint8_t* inputData, const Shape& inputShape,
- const int32_t* blockSize,
- uint8_t* outputData, const Shape& outputShape) {
- NNTRACE_TRANS("batchToSpaceGeneric");
+template <typename T>
+bool batchToSpaceGeneric(const T* inputData, const Shape& inputShape, const int32_t* blockSize,
+ T* outputData, const Shape& outputShape) {
// Needed by low level implementation, but not really used.
tflite::Dims<4> blockSizeDim, cropsDim;
const int32 crops[4] = {0, 0, 0, 0};
- if (inputShape.type == OperandType::TENSOR_FLOAT32) {
- NNTRACE_COMP_SWITCH("optimized_ops::BatchToSpaceND::float");
- tflite::optimized_ops::BatchToSpaceND(
- reinterpret_cast<const float*>(inputData),
- convertShapeToDims(inputShape),
- blockSize, blockSizeDim,
- crops, cropsDim,
- reinterpret_cast<float*>(outputData),
- convertShapeToDims(outputShape));
- } else if (inputShape.type == OperandType::TENSOR_QUANT8_ASYMM) {
- NNTRACE_COMP_SWITCH("optimized_ops::BatchToSpaceND::uint8");
- tflite::optimized_ops::BatchToSpaceND(
- reinterpret_cast<const uint8_t*>(inputData),
- convertShapeToDims(inputShape),
- blockSize, blockSizeDim,
- crops, cropsDim,
- reinterpret_cast<uint8_t*>(outputData),
- convertShapeToDims(outputShape));
- } else {
- LOG(ERROR) << "Unsupported data type";
- return false;
- }
+ NNTRACE_COMP("optimized_ops::BatchToSpaceND");
+ tflite::optimized_ops::BatchToSpaceND(inputData, convertShapeToDims(inputShape), blockSize,
+ blockSizeDim, crops, cropsDim, outputData,
+ convertShapeToDims(outputShape));
return true;
}
+template bool batchToSpaceGeneric<float>(const float* inputData, const Shape& inputShape,
+ const int32_t* blockSize, float* outputData,
+ const Shape& outputShape);
+template bool batchToSpaceGeneric<_Float16>(const _Float16* inputData, const Shape& inputShape,
+ const int32_t* blockSize, _Float16* outputData,
+ const Shape& outputShape);
+template bool batchToSpaceGeneric<uint8_t>(const uint8_t* inputData, const Shape& inputShape,
+ const int32_t* blockSize, uint8_t* outputData,
+ const Shape& outputShape);
-bool spaceToBatchGeneric(const uint8_t* inputData, const Shape& inputShape,
- const int32_t* blockSize,
- const int32_t* padding, const Shape& paddingShape,
- uint8_t* outputData, const Shape& outputShape) {
- NNTRACE_TRANS("spaceToBatchGeneric");
+template <typename T>
+bool spaceToBatchGeneric(const T* inputData, const Shape& inputShape, const int32_t* blockSize,
+ const int32_t* padding, const Shape& paddingShape, T* outputData,
+ const Shape& outputShape) {
// Needed by low level implementation, but not really used.
tflite::Dims<4> blockSizeDim;
- if (inputShape.type == OperandType::TENSOR_FLOAT32) {
- NNTRACE_COMP_SWITCH("optimized_ops::SpaceToBatchND::float");
- tflite::optimized_ops::SpaceToBatchND(
- reinterpret_cast<const float*>(inputData),
- convertShapeToDims(inputShape),
- blockSize, blockSizeDim,
- padding, convertShapeToDims(paddingShape),
- reinterpret_cast<float*>(outputData),
- convertShapeToDims(outputShape));
- } else if (inputShape.type == OperandType::TENSOR_QUANT8_ASYMM) {
- NNTRACE_COMP_SWITCH("optimized_ops::SpaceToBatchND::uint8");
- tflite::optimized_ops::SpaceToBatchND(
- reinterpret_cast<const uint8_t*>(inputData),
- convertShapeToDims(inputShape),
- blockSize, blockSizeDim,
- padding, convertShapeToDims(paddingShape),
- reinterpret_cast<uint8_t*>(outputData),
- convertShapeToDims(outputShape));
- } else {
- LOG(ERROR) << "Unsupported data type";
- return false;
- }
+ NNTRACE_COMP("optimized_ops::SpaceToBatchND");
+ tflite::optimized_ops::SpaceToBatchND(inputData, convertShapeToDims(inputShape), blockSize,
+ blockSizeDim, padding, convertShapeToDims(paddingShape),
+ outputData, convertShapeToDims(outputShape));
return true;
}
+template bool spaceToBatchGeneric<float>(const float* inputData, const Shape& inputShape,
+ const int32_t* blockSize, const int32_t* padding,
+ const Shape& paddingShape, float* outputData,
+ const Shape& outputShape);
+template bool spaceToBatchGeneric<_Float16>(const _Float16* inputData, const Shape& inputShape,
+ const int32_t* blockSize, const int32_t* padding,
+ const Shape& paddingShape, _Float16* outputData,
+ const Shape& outputShape);
+template bool spaceToBatchGeneric<uint8_t>(const uint8_t* inputData, const Shape& inputShape,
+ const int32_t* blockSize, const int32_t* padding,
+ const Shape& paddingShape, uint8_t* outputData,
+ const Shape& outputShape);
-bool squeezeGeneric(const void* inputData, const Shape& inputShape,
- void* outputData, const Shape& outputShape) {
- NNTRACE_COMP("squeezeGeneric");
- size_t count = sizeOfData(inputShape.type, inputShape.dimensions);
- memcpy(outputData, inputData, count);
- return true;
-}
-
-bool transposeGeneric(const uint8_t* inputData, const Shape& inputShape,
- const int32_t* perm, const Shape& permShape,
- uint8_t* outputData, const Shape& outputShape) {
+template <typename T>
+bool transposeGeneric(const T* inputData, const Shape& inputShape, const int32_t* perm,
+ const Shape& permShape, T* outputData, const Shape& outputShape) {
NNTRACE_TRANS("transposeGeneric");
// Reverse the permuted axes and convert to 4D due to the way Dims are
// constructed.
@@ -308,34 +277,26 @@
perm = perm_tmp;
}
int32_t reversed_perm[kOutputDimensionNum];
- for (int32_t output_k = 0, input_k = permSize - 1; output_k < permSize;
- ++output_k, --input_k) {
+ for (int32_t output_k = 0, input_k = permSize - 1; output_k < permSize; ++output_k, --input_k) {
reversed_perm[output_k] = permSize - perm[input_k] - 1;
}
for (int32_t k = permSize; k < kOutputDimensionNum; ++k) {
reversed_perm[k] = k;
}
- if (inputShape.type == OperandType::TENSOR_FLOAT32) {
- NNTRACE_COMP_SWITCH("optimized_ops::Transpose::float");
- tflite::reference_ops::Transpose(
- reinterpret_cast<const float*>(inputData),
- convertShapeToDims(inputShape),
- reinterpret_cast<float*>(outputData),
- convertShapeToDims(outputShape),
- reversed_perm);
- } else if (inputShape.type == OperandType::TENSOR_QUANT8_ASYMM) {
- NNTRACE_COMP_SWITCH("optimized_ops::Transpose::uint8");
- tflite::reference_ops::Transpose(
- reinterpret_cast<const uint8_t*>(inputData),
- convertShapeToDims(inputShape),
- reinterpret_cast<uint8_t*>(outputData),
- convertShapeToDims(outputShape),
- reversed_perm);
- } else {
- LOG(ERROR) << "Unsupported data type";
- return false;
- }
+ NNTRACE_COMP_SWITCH("reference_ops::Transpose");
+ tflite::reference_ops::Transpose(inputData, convertShapeToDims(inputShape), outputData,
+ convertShapeToDims(outputShape), reversed_perm);
return true;
}
+template bool transposeGeneric<float>(const float* inputData, const Shape& inputShape,
+ const int32_t* perm, const Shape& permShape,
+ float* outputData, const Shape& outputShape);
+template bool transposeGeneric<_Float16>(const _Float16* inputData, const Shape& inputShape,
+ const int32_t* perm, const Shape& permShape,
+ _Float16* outputData, const Shape& outputShape);
+template bool transposeGeneric<uint8_t>(const uint8_t* inputData, const Shape& inputShape,
+ const int32_t* perm, const Shape& permShape,
+ uint8_t* outputData, const Shape& outputShape);
+
} // namespace nn
} // namespace android
diff --git a/nn/common/operations/RoiPooling.cpp b/nn/common/operations/RoiPooling.cpp
new file mode 100644
index 0000000..591617f
--- /dev/null
+++ b/nn/common/operations/RoiPooling.cpp
@@ -0,0 +1,122 @@
+/*
+ * Copyright (C) 2018 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "CpuOperationUtils.h"
+#include "Operations.h"
+
+#include <cfloat>
+#include <cmath>
+
+#include "Tracing.h"
+
+namespace android {
+namespace nn {
+
+template <typename T_Input>
+bool roiPoolingImpl(const T_Input* inputData, const Shape& inputShape, const float* roiData,
+ const Shape& roiShape, float spatialScale, T_Input* outputData,
+ const Shape& outputShape) {
+ NNTRACE_TRANS("RoiPooling");
+
+ const uint32_t kRoiDim = 4;
+
+ uint32_t inHeight = getSizeOfDimension(inputShape, 1);
+ uint32_t inWidth = getSizeOfDimension(inputShape, 2);
+ uint32_t inDepth = getSizeOfDimension(inputShape, 3);
+ uint32_t outHeight = getSizeOfDimension(outputShape, 1);
+ uint32_t outWidth = getSizeOfDimension(outputShape, 2);
+ uint32_t numRois = getSizeOfDimension(roiShape, 0);
+ uint32_t roiInfoLength = getSizeOfDimension(roiShape, 1);
+
+ T_Input* outPtr = outputData;
+ const float* roiDataEnd = roiData + numRois * roiInfoLength;
+ for (const float* roiInfo = roiData; roiInfo < roiDataEnd; roiInfo += kRoiDim) {
+ uint32_t batchId = 0;
+ // get optional batch id
+ if (roiInfoLength == kRoiDim + 1) {
+ batchId = std::round(roiInfo[0]);
+ roiInfo++;
+ }
+ const T_Input* batchBase = inputData + batchId * inHeight * inWidth * inDepth;
+
+ int32_t wRoiStart = std::round(roiInfo[0] * spatialScale);
+ int32_t hRoiStart = std::round(roiInfo[1] * spatialScale);
+ int32_t wRoiEnd = std::round(roiInfo[2] * spatialScale);
+ int32_t hRoiEnd = std::round(roiInfo[3] * spatialScale);
+
+ // Rois with width/height < 1 are considered malformed and are forced to be 1
+ float roiWidth = static_cast<float>(std::max(wRoiEnd - wRoiStart + 1, 1));
+ float roiHeight = static_cast<float>(std::max(hRoiEnd - hRoiStart + 1, 1));
+ float wStepSize = roiWidth / static_cast<float>(outWidth);
+ float hStepSize = roiHeight / static_cast<float>(outHeight);
+
+ for (uint32_t i = 0; i < outHeight; i++) {
+ for (uint32_t j = 0; j < outWidth; j++) {
+ // Take floor on start, ceil on end, start included, end excluded, i.e. [start, end)
+ // end is guaranteed to larger than start by at least 1
+ uint32_t wStart = std::floor(wStepSize * j + wRoiStart);
+ uint32_t wEnd = std::ceil(wStepSize * (j + 1) + wRoiStart);
+ uint32_t hStart = std::floor(hStepSize * i + hRoiStart);
+ uint32_t hEnd = std::ceil(hStepSize * (i + 1) + hRoiStart);
+
+ wStart = std::min(wStart, inWidth);
+ wEnd = std::min(wEnd, inWidth);
+ hStart = std::min(hStart, inHeight);
+ hEnd = std::min(hEnd, inHeight);
+
+ for (uint32_t k = 0; k < inDepth; k++) {
+ T_Input maxValue;
+ bool first = true;
+ for (uint32_t h = hStart; h < hEnd; h++) {
+ for (uint32_t w = wStart; w < wEnd; w++) {
+ T_Input inputValue = batchBase[h * inWidth * inDepth + w * inDepth + k];
+ if (first || inputValue > maxValue) {
+ maxValue = inputValue;
+ first = false;
+ }
+ }
+ }
+ outPtr[k] = maxValue;
+ }
+ outPtr += inDepth;
+ }
+ }
+ }
+ return true;
+}
+
+bool roiPoolingGeneric(const uint8_t* inputData, const Shape& inputShape, const uint8_t* roiData,
+ const Shape& roiShape, float spatialScale, uint8_t* outputData,
+ const Shape& outputShape) {
+ NNTRACE_TRANS("roiPoolingGeneric");
+ if (inputShape.type == OperandType::TENSOR_FLOAT32) {
+ return roiPoolingImpl<float>(reinterpret_cast<const float*>(inputData), inputShape,
+ reinterpret_cast<const float*>(roiData), roiShape,
+ spatialScale, reinterpret_cast<float*>(outputData),
+ outputShape);
+ } else if (inputShape.type == OperandType::TENSOR_QUANT8_ASYMM) {
+ return roiPoolingImpl<uint8_t>(reinterpret_cast<const uint8_t*>(inputData), inputShape,
+ reinterpret_cast<const float*>(roiData), roiShape,
+ spatialScale, reinterpret_cast<uint8_t*>(outputData),
+ outputShape);
+ } else {
+ LOG(ERROR) << "Unsupported data type";
+ return false;
+ }
+}
+
+} // namespace nn
+} // namespace android
diff --git a/nn/common/operations/Slice.cpp b/nn/common/operations/Slice.cpp
new file mode 100644
index 0000000..9d31b60
--- /dev/null
+++ b/nn/common/operations/Slice.cpp
@@ -0,0 +1,133 @@
+/*
+ * Copyright (C) 2018 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+#include "Slice.h"
+
+#include "IndexedShapeWrapper.h"
+#include "OperationsUtils.h"
+
+#include <vector>
+
+namespace android {
+namespace nn {
+namespace slice {
+
+namespace {
+
+template <typename T>
+void addVectors(const std::vector<T>& a, const std::vector<T>& b, std::vector<T>* res) {
+ for (int i = 0; i < res->size(); ++i) {
+ res->at(i) = a[i] + b[i];
+ }
+}
+
+template <typename T>
+bool evalGeneric(const T* inputData, const Shape& inputShape, const int32_t* beginData,
+ const Shape& beginShape, const int32_t* sizeData, const Shape& sizeShape,
+ T* outputData, const Shape& outputShape) {
+ const int outputSize = getNumberOfElements(outputShape);
+ const IndexedShapeWrapper indexedOutput = IndexedShapeWrapper(outputShape);
+ const IndexedShapeWrapper indexedInput = IndexedShapeWrapper(inputShape);
+ std::vector<uint32_t> outputIndex(getNumberOfDimensions(outputShape), 0);
+ std::vector<uint32_t> beginIndex(getSizeOfDimension(beginShape, 0));
+ std::vector<uint32_t> inputIndex(getNumberOfDimensions(inputShape));
+
+ for (int i = 0; i < beginIndex.size(); ++i) {
+ beginIndex[i] = static_cast<uint32_t>(beginData[i]);
+ }
+
+ bool lastIndex = false;
+ uint32_t outputOffset;
+ uint32_t inputOffset;
+
+ do {
+ addVectors(outputIndex, beginIndex, &inputIndex);
+
+ NN_RET_CHECK(indexedOutput.indexToFlatIndex(outputIndex, &outputOffset));
+ NN_RET_CHECK(indexedInput.indexToFlatIndex(inputIndex, &inputOffset));
+
+ outputData[outputOffset] = inputData[inputOffset];
+ NN_RET_CHECK(indexedOutput.nextIndexInplace(&outputIndex, &lastIndex));
+ } while (!lastIndex);
+ return true;
+}
+
+} // namespace
+
+bool prepare(const Shape& inputShape, const void* untypedBeginData, const Shape& beginShape,
+ const void* untypedSizeData, const Shape& sizeShape, Shape* outputShape) {
+ const int32_t n_dims = getNumberOfDimensions(inputShape);
+ NN_RET_CHECK(n_dims > 0);
+
+ NN_RET_CHECK_EQ(getNumberOfDimensions(beginShape), 1);
+ NN_RET_CHECK_EQ(getSizeOfDimension(beginShape, 0), n_dims);
+
+ NN_RET_CHECK_EQ(getNumberOfDimensions(sizeShape), 1);
+ NN_RET_CHECK_EQ(getSizeOfDimension(sizeShape, 0), n_dims);
+
+ const int32_t* beginData = reinterpret_cast<const int32_t*>(untypedBeginData);
+ const int32_t* sizeData = reinterpret_cast<const int32_t*>(untypedSizeData);
+
+ outputShape->dimensions.resize(n_dims);
+ for (int i = 0; i < n_dims; ++i) {
+ const int32_t sliceBegin = beginData[i];
+ int32_t sliceSize = sizeData[i];
+ NN_RET_CHECK_LT(beginData[i], getSizeOfDimension(inputShape, i));
+ NN_RET_CHECK(sliceSize > 0 || sliceSize == -1);
+ if (sliceSize == -1) {
+ sliceSize = getSizeOfDimension(inputShape, i) - sliceBegin;
+ }
+ NN_RET_CHECK_LE(sliceBegin + sliceSize, getSizeOfDimension(inputShape, i));
+ outputShape->dimensions[i] = sliceSize;
+ }
+ return true;
+}
+
+bool eval(const void* inputData, const Shape& inputShape, const void* untypedBeginData,
+ const Shape& beginShape, const void* untypedSizeData, const Shape& sizeShape,
+ void* outputData, const Shape& outputShape) {
+ const int32_t* beginData = reinterpret_cast<const int32_t*>(untypedBeginData);
+ const int32_t* sizeData = reinterpret_cast<const int32_t*>(untypedSizeData);
+ switch (inputShape.type) {
+ case OperandType::TENSOR_FLOAT16: {
+ return evalGeneric(reinterpret_cast<const _Float16*>(inputData), inputShape, beginData,
+ beginShape, sizeData, sizeShape,
+ reinterpret_cast<_Float16*>(outputData), outputShape);
+ } break;
+ case OperandType::TENSOR_FLOAT32: {
+ return evalGeneric(reinterpret_cast<const float*>(inputData), inputShape, beginData,
+ beginShape, sizeData, sizeShape,
+ reinterpret_cast<float*>(outputData), outputShape);
+ } break;
+ case OperandType::TENSOR_INT32: {
+ return evalGeneric(reinterpret_cast<const int32_t*>(inputData), inputShape, beginData,
+ beginShape, sizeData, sizeShape,
+ reinterpret_cast<int32_t*>(outputData), outputShape);
+ } break;
+ case OperandType::TENSOR_QUANT8_ASYMM: {
+ return evalGeneric(reinterpret_cast<const uint8_t*>(inputData), inputShape, beginData,
+ beginShape, sizeData, sizeShape,
+ reinterpret_cast<uint8_t*>(outputData), outputShape);
+ } break;
+ default: {
+ LOG(ERROR) << "Unsupported data type: " << toString(inputShape.type);
+ return false;
+ }
+ }
+}
+
+} // namespace slice
+} // namespace nn
+} // namespace android
diff --git a/nn/common/operations/Slice.h b/nn/common/operations/Slice.h
new file mode 100644
index 0000000..e9e33cb
--- /dev/null
+++ b/nn/common/operations/Slice.h
@@ -0,0 +1,37 @@
+/*
+ * Copyright (C) 2018 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef FRAMEWORKS_ML_NN_SLICE_H
+#define FRAMEWORKS_ML_NN_SLICE_H
+
+#include "CpuOperationUtils.h"
+
+namespace android {
+namespace nn {
+namespace slice {
+
+bool prepare(const Shape& input, const void* beginData, const Shape& beginShape,
+ const void* sizeData, const Shape& sizeShape, Shape* outputShape);
+
+bool eval(const void* inputData, const Shape& inputShape, const void* beginData,
+ const Shape& beginShape, const void* sizeData, const Shape& sizeShape, void* outputData,
+ const Shape& outputShape);
+
+} // namespace slice
+} // namespace nn
+} // namespace android
+
+#endif // FRAMEWORKS_ML_NN_SLICE_H
diff --git a/nn/common/operations/StridedSlice.cpp b/nn/common/operations/StridedSlice.cpp
index 71e724e..1e1493b 100644
--- a/nn/common/operations/StridedSlice.cpp
+++ b/nn/common/operations/StridedSlice.cpp
@@ -62,21 +62,21 @@
if (inputShape.type == OperandType::TENSOR_FLOAT32) {
NNTRACE_COMP_SWITCH("reference_ops::StridedSlice::float");
tflite::reference_ops::StridedSlice(
- reinterpret_cast<const float*>(inputData),
- convertShapeToDims(inputShape),
- beginMask, endMask, shrinkAxisMask,
- starts, stops, strides,
- reinterpret_cast<float*>(outputData),
- convertShapeToDims(outputShape));
+ reinterpret_cast<const float*>(inputData), convertShapeToDims(inputShape),
+ beginMask, endMask, shrinkAxisMask, starts, stops, strides,
+ reinterpret_cast<float*>(outputData), convertShapeToDims(outputShape));
+ } else if (inputShape.type == OperandType::TENSOR_FLOAT16) {
+ NNTRACE_COMP_SWITCH("reference_ops::StridedSlice::float16");
+ tflite::reference_ops::StridedSlice(
+ reinterpret_cast<const _Float16*>(inputData), convertShapeToDims(inputShape),
+ beginMask, endMask, shrinkAxisMask, starts, stops, strides,
+ reinterpret_cast<_Float16*>(outputData), convertShapeToDims(outputShape));
} else if (inputShape.type == OperandType::TENSOR_QUANT8_ASYMM) {
NNTRACE_COMP_SWITCH("reference_ops::StridedSlice::uint8");
tflite::reference_ops::StridedSlice(
- reinterpret_cast<const uint8_t*>(inputData),
- convertShapeToDims(inputShape),
- beginMask, endMask, shrinkAxisMask,
- starts, stops, strides,
- reinterpret_cast<uint8_t*>(outputData),
- convertShapeToDims(outputShape));
+ reinterpret_cast<const uint8_t*>(inputData), convertShapeToDims(inputShape),
+ beginMask, endMask, shrinkAxisMask, starts, stops, strides,
+ reinterpret_cast<uint8_t*>(outputData), convertShapeToDims(outputShape));
} else {
LOG(ERROR) << "Unsupported data type";
return false;
diff --git a/nn/runtime/include/NeuralNetworks.h b/nn/runtime/include/NeuralNetworks.h
index c9f772e..5574fd3 100644
--- a/nn/runtime/include/NeuralNetworks.h
+++ b/nn/runtime/include/NeuralNetworks.h
@@ -244,16 +244,19 @@
* dimensions except the dimension along the concatenation axis.
*
* Supported tensor {@link OperandCode}:
+ * * {@link ANEURALNETWORKS_TENSOR_FLOAT16} (since API level 29)
* * {@link ANEURALNETWORKS_TENSOR_FLOAT32}
- * * {@link ANEURALNETWORKS_TENSOR_QUANT8_ASYMM}
+ * * {@link ANEURALNETWORKS_TENSOR_QUANT8_ASYMM} (full support since API
+ * level 29, see the input section)
*
* Supported tensor rank: up to 4
*
* Inputs:
* * 0 ~ n-1: The list of n input tensors, of shape
- * [D0, D1, ..., Daxis(i), ..., Dm]. For inputs of
- * {@link ANEURALNETWORKS_TENSOR_QUANT8_ASYMM}, all input tensors
- * must have the same scale and zeroPoint.
+ * [D0, D1, ..., Daxis(i), ..., Dm].
+ * Before API level 29, all input tensors of
+ * {@link ANEURALNETWORKS_TENSOR_QUANT8_ASYMM}
+ * must have the same scale and zeroPoint as the output tensor.
* * n: An {@link ANEURALNETWORKS_INT32} scalar, specifying the
* concatenation axis.
*
@@ -479,6 +482,7 @@
* be divisible by block_size * block_size
*
* Supported tensor {@link OperandCode}:
+ * * {@link ANEURALNETWORKS_TENSOR_FLOAT16} (since API level 29)
* * {@link ANEURALNETWORKS_TENSOR_FLOAT32}
* * {@link ANEURALNETWORKS_TENSOR_QUANT8_ASYMM}
*
@@ -1283,6 +1287,7 @@
* output = max(0, input)
*
* Supported tensor {@link OperandCode}:
+ * * {@link ANEURALNETWORKS_TENSOR_FLOAT16} (since API level 29)
* * {@link ANEURALNETWORKS_TENSOR_FLOAT32}
* * {@link ANEURALNETWORKS_TENSOR_QUANT8_ASYMM}
*
@@ -1306,6 +1311,7 @@
* output = min(1.f, max(-1.f, input))
*
* Supported tensor {@link OperandCode}:
+ * * {@link ANEURALNETWORKS_TENSOR_FLOAT16} (since API level 29)
* * {@link ANEURALNETWORKS_TENSOR_FLOAT32}
* * {@link ANEURALNETWORKS_TENSOR_QUANT8_ASYMM}
*
@@ -1329,6 +1335,7 @@
* output = min(6, max(0, input))
*
* Supported tensor {@link OperandCode}:
+ * * {@link ANEURALNETWORKS_TENSOR_FLOAT16} (since API level 29)
* * {@link ANEURALNETWORKS_TENSOR_FLOAT32}
* * {@link ANEURALNETWORKS_TENSOR_QUANT8_ASYMM}
*
@@ -1351,6 +1358,7 @@
* tensor, but with a newly specified shape.
*
* Supported tensor {@link OperandCode}:
+ * * {@link ANEURALNETWORKS_TENSOR_FLOAT16} (since API level 29)
* * {@link ANEURALNETWORKS_TENSOR_FLOAT32}
* * {@link ANEURALNETWORKS_TENSOR_QUANT8_ASYMM}
*
@@ -1377,6 +1385,7 @@
* same as corner pixels of input.
*
* Supported tensor {@link OperandCode}:
+ * * {@link ANEURALNETWORKS_TENSOR_FLOAT16} (since API level 29)
* * {@link ANEURALNETWORKS_TENSOR_FLOAT32}
*
* Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
@@ -1515,6 +1524,7 @@
* The input tensor's height and width must be divisible by block_size.
*
* Supported tensor {@link OperandCode}:
+ * * {@link ANEURALNETWORKS_TENSOR_FLOAT16} (since API level 29)
* * {@link ANEURALNETWORKS_TENSOR_FLOAT32}
* * {@link ANEURALNETWORKS_TENSOR_QUANT8_ASYMM}
*
@@ -1661,6 +1671,7 @@
* This is the reverse of SpaceToBatch.
*
* Supported tensor {@link OperandCode}:
+ * * {@link ANEURALNETWORKS_TENSOR_FLOAT16} (since API level 29)
* * {@link ANEURALNETWORKS_TENSOR_FLOAT32}
* * {@link ANEURALNETWORKS_TENSOR_QUANT8_ASYMM}
*
@@ -1764,6 +1775,7 @@
* This operation pads a tensor according to the specified paddings.
*
* Supported tensor {@link OperandCode}:
+ * * {@link ANEURALNETWORKS_TENSOR_FLOAT16} (since API level 29)
* * {@link ANEURALNETWORKS_TENSOR_FLOAT32}
* * {@link ANEURALNETWORKS_TENSOR_QUANT8_ASYMM}
*
@@ -1805,6 +1817,7 @@
* dimensions of the input are optionally zero padded according to paddings.
*
* Supported tensor {@link OperandCode}:
+ * * {@link ANEURALNETWORKS_TENSOR_FLOAT16} (since API level 29)
* * {@link ANEURALNETWORKS_TENSOR_FLOAT32}
* * {@link ANEURALNETWORKS_TENSOR_QUANT8_ASYMM}
*
@@ -1845,6 +1858,7 @@
* dimensions by specifying the axes (input1).
*
* Supported tensor {@link OperandCode}:
+ * * {@link ANEURALNETWORKS_TENSOR_FLOAT16} (since API level 29)
* * {@link ANEURALNETWORKS_TENSOR_FLOAT32}
* * {@link ANEURALNETWORKS_TENSOR_QUANT8_ASYMM}
*
@@ -1877,6 +1891,7 @@
* reverse slice.
*
* Supported tensor {@link OperandCode}:
+ * * {@link ANEURALNETWORKS_TENSOR_FLOAT16} (since API level 29)
* * {@link ANEURALNETWORKS_TENSOR_FLOAT32}
* * {@link ANEURALNETWORKS_TENSOR_QUANT8_ASYMM}
*
@@ -1965,6 +1980,7 @@
* regular matrix transpose on 2-D input Tensors.
*
* Supported tensor {@link OperandCode}:
+ * * {@link ANEURALNETWORKS_TENSOR_FLOAT16} (since API level 29)
* * {@link ANEURALNETWORKS_TENSOR_FLOAT32}
* * {@link ANEURALNETWORKS_TENSOR_QUANT8_ASYMM}
*
@@ -1988,6 +2004,7 @@
* Returns the index of the largest element along an axis.
*
* Supported tensor {@link OperandCode}:
+ * * {@link ANEURALNETWORKS_TENSOR_FLOAT16}
* * {@link ANEURALNETWORKS_TENSOR_FLOAT32}
* * {@link ANEURALNETWORKS_TENSOR_INT32}
* * {@link ANEURALNETWORKS_TENSOR_QUANT8_ASYMM}
@@ -2013,6 +2030,7 @@
* Returns the index of the smallest element along an axis.
*
* Supported tensor {@link OperandCode}:
+ * * {@link ANEURALNETWORKS_TENSOR_FLOAT16}
* * {@link ANEURALNETWORKS_TENSOR_FLOAT32}
* * {@link ANEURALNETWORKS_TENSOR_INT32}
* * {@link ANEURALNETWORKS_TENSOR_QUANT8_ASYMM}
@@ -2037,6 +2055,7 @@
* paddings.
*
* Supported tensor {@link OperandCode}:
+ * * {@link ANEURALNETWORKS_TENSOR_FLOAT16}
* * {@link ANEURALNETWORKS_TENSOR_FLOAT32}
* * {@link ANEURALNETWORKS_TENSOR_QUANT8_ASYMM}
*
@@ -2671,6 +2690,39 @@
ANEURALNETWORKS_RSQRT = 75,
ANEURALNETWORKS_SELECT = 76,
ANEURALNETWORKS_SIN = 77,
+ /**
+ * Extracts a slice of specified size from the input tensor starting at a
+ * specified location.
+ *
+ * The starting location is specified as a 1-D tensor containing offsets
+ * for each dimension. The size is specified as a 1-D tensor containing
+ * either size of a slice along corresponding dimension or -1. In the latter
+ * case, all the remaining elements in dimension are included in the slice.
+ * Slice size in each dimension cannot be zero.
+ *
+ * A sum of begin offset and a size of a slice must not exceed size of a
+ * corresponding dimension.
+ *
+ * Supported tensor {@link OperandCode}:
+ * * {@link ANEURALNETWORKS_TENSOR_FLOAT16}
+ * * {@link ANEURALNETWORKS_TENSOR_FLOAT32}
+ * * {@link ANEURALNETWORKS_TENSOR_INT32}
+ * * {@link ANEURALNETWORKS_TENSOR_QUANT8_ASYMM}
+ *
+ * Supported tensor rank: from 1
+ *
+ * Inputs:
+ * * 0: An n-D tensor to take slice from.
+ * * 1: A 1-D tensor of type {@link ANEURALNETWORKS_TENSOR_INT32} specifying
+ * the beginning indices of the slice in each dimension.
+ * * 2: A 1-D tensor of type {@link ANEURALNETWORKS_TENSOR_INT32} specifying
+ * the size of the slice in each dimension.
+ *
+ * Outputs:
+ * * 0: An n-D tensor of the same type as the input containing the slice.
+ *
+ * Available since API level 29.
+ */
ANEURALNETWORKS_SLICE = 78,
ANEURALNETWORKS_SPARSE_TO_DENSE = 79,
@@ -2911,7 +2963,61 @@
*/
ANEURALNETWORKS_ROTATED_BBOX_TRANSFORM = 87,
+ /**
+ * Computes the absolute value of a tensor, element-wise.
+ *
+ * Supported tensor {@link OperandCode}:
+ * * {@link ANEURALNETWORKS_TENSOR_FLOAT16}
+ * * {@link ANEURALNETWORKS_TENSOR_FLOAT32}
+ *
+ * Supported tensor rank: from 1.
+ *
+ * Inputs:
+ * * 0: A tensor.
+ *
+ * Outputs:
+ * * 0: The output tensor of same shape as input0.
+ *
+ * Available since API level 29.
+ */
ANEURALNETWORKS_ABS = 88,
+
+ /**
+ * Select and scale the feature map of each region of interest to a unified
+ * output size by max-pooling.
+ *
+ * The region of interest is represented by its upper-left corner coordinate
+ * (x1,y1) and lower-right corner coordinate (x2,y2) in the original image.
+ * A spatial scaling factor is applied to map into feature map coordinate.
+ * A valid region of interest should satisfy x1 < x2 and y1 < y2.
+ *
+ * Rounding is applied in this operation to ensure integer boundary for
+ * regions of interest and pooling bins.
+ *
+ * Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
+ * With the default data layout NHWC, the data is stored in the order of:
+ * [batch, height, width, channels]. Alternatively, the data layout could
+ * be NCHW, the data storage order of: [batch, channels, height, width].
+ *
+ * Inputs:
+ * * 0: A 4-D tensor, specifying the feature map.
+ * * 1: A 2-D Tensor of shape [num_rois, 5 or 4], specifying the locations
+ * of the regions of interest, each line with format
+ * [<optional batch_id>, x1, y1, x2, y2]. The batch_id is optional if
+ * there is only one batch.
+ * * 2: A 1-D Tensor of {@link ANEURALNETWORKS_TENSOR_INT32},
+ * specifying the size of the output tensor [out_height, out_width].
+ * * 3: An {@link ANEURALNETWORKS_FLOAT32} scalar, specifying the spatial
+ * scaling factor from original image to feature map.
+ * * 4: An {@link ANEURALNETWORKS_BOOL} scalar, set to true to specify
+ * NCHW data layout for input0 and output0. Set to false for NHWC.
+ *
+ * Outputs:
+ * * 0: A tensor of the same {@link OperandCode} as input0. The output
+ * shape is [num_rois, out_height, out_width, depth].
+ *
+ * Available since API level 29.
+ */
ANEURALNETWORKS_ROI_POOLING = 89,
} OperationCode;
diff --git a/nn/runtime/test/TestValidateOperations.cpp b/nn/runtime/test/TestValidateOperations.cpp
index eae6a9b..119cfa8 100644
--- a/nn/runtime/test/TestValidateOperations.cpp
+++ b/nn/runtime/test/TestValidateOperations.cpp
@@ -256,6 +256,14 @@
EXPECT_TRUE(activationTest.testMutatingOutputOperandCounts());
}
+TEST(OperationValidationTest, ABS_float16) {
+ activationOpTest(ANEURALNETWORKS_ABS, ANEURALNETWORKS_TENSOR_FLOAT16);
+}
+
+TEST(OperationValidationTest, ABS_float32) {
+ activationOpTest(ANEURALNETWORKS_ABS, ANEURALNETWORKS_TENSOR_FLOAT32);
+}
+
TEST(OperationValidationTest, FLOOR_float32) {
activationOpTest(ANEURALNETWORKS_FLOOR, ANEURALNETWORKS_TENSOR_FLOAT32);
}
@@ -801,6 +809,10 @@
depthwiseConvOpTest(ANEURALNETWORKS_TENSOR_FLOAT32);
}
+TEST(OperationValidationTest, DEPTHWISE_CONV_2D_float16) {
+ depthwiseConvOpTest(ANEURALNETWORKS_TENSOR_FLOAT16);
+}
+
TEST(OperationValidationTest, DEPTHWISE_CONV_2D_quant8) {
depthwiseConvOpTest(ANEURALNETWORKS_TENSOR_QUANT8_ASYMM);
}
@@ -1363,20 +1375,23 @@
stridedSliceOpTest(ANEURALNETWORKS_TENSOR_FLOAT32);
}
+TEST(OperationValidationTest, STRIDED_SLICE_float16) {
+ stridedSliceOpTest(ANEURALNETWORKS_TENSOR_FLOAT16);
+}
+
TEST(OperationValidationTest, STRIDED_SLICE_quant8) {
stridedSliceOpTest(ANEURALNETWORKS_TENSOR_QUANT8_ASYMM);
}
-TEST(OperationValidationTest, ROI_ALIGN_float32) {
+void roiAlignOpTest(int32_t operandCode) {
uint32_t inDim[] = {1, 4, 4, 1}, roiDim[] = {4, 4}, outShapeDim[] = {2};
uint32_t outDim[] = {4, 2, 2, 1};
OperationTestBase roiAlignTest(
ANEURALNETWORKS_ROI_ALIGN,
- {getOpType(ANEURALNETWORKS_TENSOR_FLOAT32, 4, inDim),
- getOpType(ANEURALNETWORKS_TENSOR_FLOAT32, 2, roiDim),
+ {getOpType(operandCode, 4, inDim), getOpType(ANEURALNETWORKS_TENSOR_FLOAT32, 2, roiDim),
getOpType(ANEURALNETWORKS_TENSOR_INT32, 1, outShapeDim),
getOpType(ANEURALNETWORKS_FLOAT32), getOpType(ANEURALNETWORKS_INT32)},
- {getOpType(ANEURALNETWORKS_TENSOR_FLOAT32, 4, outDim)});
+ {getOpType(operandCode, 4, outDim)});
EXPECT_TRUE(roiAlignTest.testMutatingInputOperandCode());
EXPECT_TRUE(roiAlignTest.testMutatingInputOperandCounts());
@@ -1384,6 +1399,38 @@
EXPECT_TRUE(roiAlignTest.testMutatingOutputOperandCounts());
}
+TEST(OperationValidationTest, ROI_ALIGN_float32) {
+ roiAlignOpTest(ANEURALNETWORKS_TENSOR_FLOAT32);
+}
+
+TEST(OperationValidationTest, ROI_ALIGN_quant8) {
+ roiAlignOpTest(ANEURALNETWORKS_TENSOR_QUANT8_ASYMM);
+}
+
+void roiPoolingOpTest(int32_t operandCode) {
+ uint32_t inDim[] = {1, 4, 4, 1}, roiDim[] = {4, 4}, outShapeDim[] = {2};
+ uint32_t outDim[] = {4, 2, 2, 1};
+ OperationTestBase roiPoolingTest(
+ ANEURALNETWORKS_ROI_POOLING,
+ {getOpType(operandCode, 4, inDim), getOpType(ANEURALNETWORKS_TENSOR_FLOAT32, 2, roiDim),
+ getOpType(ANEURALNETWORKS_TENSOR_INT32, 1, outShapeDim),
+ getOpType(ANEURALNETWORKS_FLOAT32)},
+ {getOpType(operandCode, 4, outDim)});
+
+ EXPECT_TRUE(roiPoolingTest.testMutatingInputOperandCode());
+ EXPECT_TRUE(roiPoolingTest.testMutatingInputOperandCounts());
+ EXPECT_TRUE(roiPoolingTest.testMutatingOutputOperandCode());
+ EXPECT_TRUE(roiPoolingTest.testMutatingOutputOperandCounts());
+}
+
+TEST(OperationValidationTest, ROI_POOLING_float32) {
+ roiPoolingOpTest(ANEURALNETWORKS_TENSOR_FLOAT32);
+}
+
+TEST(OperationValidationTest, ROI_POOLING_quant8) {
+ roiPoolingOpTest(ANEURALNETWORKS_TENSOR_QUANT8_ASYMM);
+}
+
TEST(OperationValidationTest, HEATMAP_MAX_KEYPOINT_float32) {
uint32_t heatmapDim[] = {6, 4, 4, 1}, boxDim[] = {6, 4}, outDim[] = {6, 3, 1};
OperationTestBase heatmapMaxKeypointTest(
@@ -1612,4 +1659,36 @@
EXPECT_TRUE(rotatedBBoxTransformTest.testMutatingOutputOperandCode());
EXPECT_TRUE(rotatedBBoxTransformTest.testMutatingOutputOperandCounts());
}
+
+void sliceTest(int32_t operandCode) {
+ uint32_t inputDim[] = {3, 3, 3};
+ uint32_t startDim[] = {3};
+ uint32_t sizeDim[] = {3};
+ uint32_t outputDim[] = {1, 2, 3};
+
+ OperationTestBase sliceTest(ANEURALNETWORKS_SLICE,
+ {getOpType(operandCode, 3, inputDim),
+ getOpType(ANEURALNETWORKS_TENSOR_INT32, 1, startDim),
+ getOpType(ANEURALNETWORKS_TENSOR_INT32, 1, sizeDim)},
+ {getOpType(operandCode, 3, outputDim)});
+
+ EXPECT_TRUE(sliceTest.testMutatingInputOperandCode());
+ EXPECT_TRUE(sliceTest.testMutatingInputOperandCounts());
+ EXPECT_TRUE(sliceTest.testMutatingOutputOperandCode());
+ EXPECT_TRUE(sliceTest.testMutatingOutputOperandCounts());
+}
+
+TEST(OperationValidationTest, SLICE_float32) {
+ sliceTest(ANEURALNETWORKS_TENSOR_FLOAT32);
+}
+TEST(OperationValidationTest, SLICE_int32) {
+ sliceTest(ANEURALNETWORKS_TENSOR_INT32);
+}
+TEST(OperationValidationTest, SLICE_uint8) {
+ sliceTest(ANEURALNETWORKS_TENSOR_QUANT8_ASYMM);
+}
+TEST(OperationValidationTest, SLICE_float16) {
+ sliceTest(ANEURALNETWORKS_TENSOR_FLOAT16);
+}
+
} // end namespace
diff --git a/nn/runtime/test/for-cts/TestGeneratedOneFile.cpp b/nn/runtime/test/for-cts/TestGeneratedOneFile.cpp
index a9bacb6..0ae2513 100644
--- a/nn/runtime/test/for-cts/TestGeneratedOneFile.cpp
+++ b/nn/runtime/test/for-cts/TestGeneratedOneFile.cpp
@@ -325,31 +325,24 @@
#include "../generated/tests/transpose_float_1_relaxed.mod.py.cpp"
#include "../generated/tests/transpose_quant8_1.mod.py.cpp"
#include "../generated/tests/transpose_relaxed.mod.py.cpp"
+#include "../generated/tests/abs.mod.py.cpp"
#include "../generated/tests/add_broadcast_float16.mod.py.cpp"
#include "../generated/tests/add_float16.mod.py.cpp"
-#include "../generated/tests/argmax_1_float.mod.py.cpp"
-#include "../generated/tests/argmax_1_float_relaxed.mod.py.cpp"
-#include "../generated/tests/argmax_1_int32.mod.py.cpp"
-#include "../generated/tests/argmax_1_quant8.mod.py.cpp"
-#include "../generated/tests/argmax_2_float.mod.py.cpp"
-#include "../generated/tests/argmax_2_float_relaxed.mod.py.cpp"
-#include "../generated/tests/argmax_2_int32.mod.py.cpp"
-#include "../generated/tests/argmax_2_quant8.mod.py.cpp"
-#include "../generated/tests/argmax_3_float.mod.py.cpp"
-#include "../generated/tests/argmin_1_float.mod.py.cpp"
-#include "../generated/tests/argmin_1_float_relaxed.mod.py.cpp"
-#include "../generated/tests/argmin_1_int32.mod.py.cpp"
-#include "../generated/tests/argmin_1_quant8.mod.py.cpp"
-#include "../generated/tests/argmin_2_float.mod.py.cpp"
-#include "../generated/tests/argmin_2_float_relaxed.mod.py.cpp"
-#include "../generated/tests/argmin_2_int32.mod.py.cpp"
-#include "../generated/tests/argmin_2_quant8.mod.py.cpp"
-#include "../generated/tests/argmin_3_float.mod.py.cpp"
+#include "../generated/tests/argmax_1.mod.py.cpp"
+#include "../generated/tests/argmax_2.mod.py.cpp"
+#include "../generated/tests/argmax_3.mod.py.cpp"
+#include "../generated/tests/argmin_1.mod.py.cpp"
+#include "../generated/tests/argmin_2.mod.py.cpp"
+#include "../generated/tests/argmin_3.mod.py.cpp"
#include "../generated/tests/avg_pool_v1_2.mod.py.cpp"
#include "../generated/tests/axis_aligned_bbox_transform.mod.py.cpp"
#include "../generated/tests/batch_to_space_v1_2.mod.py.cpp"
#include "../generated/tests/cast.mod.py.cpp"
#include "../generated/tests/channel_shuffle.mod.py.cpp"
+#include "../generated/tests/concat_float16_1.mod.py.cpp"
+#include "../generated/tests/concat_float16_2.mod.py.cpp"
+#include "../generated/tests/concat_float16_3.mod.py.cpp"
+#include "../generated/tests/concat_mixed_quant.mod.py.cpp"
#include "../generated/tests/conv2d_v1_2.mod.py.cpp"
#include "../generated/tests/depth_to_space_v1_2.mod.py.cpp"
#include "../generated/tests/depthwise_conv2d_v1_2.mod.py.cpp"
@@ -374,6 +367,7 @@
#include "../generated/tests/minimum.mod.py.cpp"
#include "../generated/tests/mul_broadcast_float16.mod.py.cpp"
#include "../generated/tests/mul_float16.mod.py.cpp"
+#include "../generated/tests/pad_float16.mod.py.cpp"
#include "../generated/tests/pad_v2_1_float.mod.py.cpp"
#include "../generated/tests/pad_v2_1_float_relaxed.mod.py.cpp"
#include "../generated/tests/pad_v2_1_quant8.mod.py.cpp"
@@ -388,9 +382,12 @@
#include "../generated/tests/relu6_float16_2.mod.py.cpp"
#include "../generated/tests/relu_float16_1.mod.py.cpp"
#include "../generated/tests/relu_float16_2.mod.py.cpp"
+#include "../generated/tests/reshape_float16.mod.py.cpp"
#include "../generated/tests/resize_bilinear_v1_2.mod.py.cpp"
#include "../generated/tests/roi_align.mod.py.cpp"
+#include "../generated/tests/roi_pooling.mod.py.cpp"
#include "../generated/tests/rotated_bbox_transform.mod.py.cpp"
+#include "../generated/tests/slice.mod.py.cpp"
#include "../generated/tests/softmax_v1_2.mod.py.cpp"
#include "../generated/tests/space_to_batch_v1_2.mod.py.cpp"
#include "../generated/tests/space_to_depth_v1_2.mod.py.cpp"
@@ -407,6 +404,8 @@
#include "../generated/tests/split_quant8_2.mod.py.cpp"
#include "../generated/tests/split_quant8_3.mod.py.cpp"
#include "../generated/tests/split_quant8_4.mod.py.cpp"
+#include "../generated/tests/squeeze_float16.mod.py.cpp"
+#include "../generated/tests/strided_slice_float16.mod.py.cpp"
#include "../generated/tests/sub_float16.mod.py.cpp"
#include "../generated/tests/sub_float16_broadcast.mod.py.cpp"
#include "../generated/tests/sub_quantized.mod.py.cpp"
@@ -419,4 +418,5 @@
#include "../generated/tests/tile_3.mod.py.cpp"
#include "../generated/tests/topk_v2.mod.py.cpp"
#include "../generated/tests/transpose_conv2d.mod.py.cpp"
+#include "../generated/tests/transpose_float16.mod.py.cpp"
#include "../generated/tests/transpose_v1_2.mod.py.cpp"
diff --git a/nn/runtime/test/generated/all_generated_V1_0_vts_tests.cpp b/nn/runtime/test/generated/all_generated_V1_0_vts_tests.cpp
index 3fdf391..2d75889 100644
--- a/nn/runtime/test/generated/all_generated_V1_0_vts_tests.cpp
+++ b/nn/runtime/test/generated/all_generated_V1_0_vts_tests.cpp
@@ -13,12 +13,12 @@
generated_tests::Execute(device,
add::createTestModel,
add::is_ignored,
- add::examples);
+ add::get_examples());
}
TEST_F(ValidationTest, add) {
const Model model = add::createTestModel();
- const std::vector<Request> requests = createRequests(add::examples);
+ const std::vector<Request> requests = createRequests(add::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -36,12 +36,12 @@
generated_tests::Execute(device,
add_broadcast_quant8::createTestModel,
add_broadcast_quant8::is_ignored,
- add_broadcast_quant8::examples);
+ add_broadcast_quant8::get_examples());
}
TEST_F(ValidationTest, add_broadcast_quant8) {
const Model model = add_broadcast_quant8::createTestModel();
- const std::vector<Request> requests = createRequests(add_broadcast_quant8::examples);
+ const std::vector<Request> requests = createRequests(add_broadcast_quant8::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -59,12 +59,12 @@
generated_tests::Execute(device,
add_quant8::createTestModel,
add_quant8::is_ignored,
- add_quant8::examples);
+ add_quant8::get_examples());
}
TEST_F(ValidationTest, add_quant8) {
const Model model = add_quant8::createTestModel();
- const std::vector<Request> requests = createRequests(add_quant8::examples);
+ const std::vector<Request> requests = createRequests(add_quant8::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -82,12 +82,12 @@
generated_tests::Execute(device,
avg_pool_float_1::createTestModel,
avg_pool_float_1::is_ignored,
- avg_pool_float_1::examples);
+ avg_pool_float_1::get_examples());
}
TEST_F(ValidationTest, avg_pool_float_1) {
const Model model = avg_pool_float_1::createTestModel();
- const std::vector<Request> requests = createRequests(avg_pool_float_1::examples);
+ const std::vector<Request> requests = createRequests(avg_pool_float_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -105,12 +105,12 @@
generated_tests::Execute(device,
avg_pool_float_2::createTestModel,
avg_pool_float_2::is_ignored,
- avg_pool_float_2::examples);
+ avg_pool_float_2::get_examples());
}
TEST_F(ValidationTest, avg_pool_float_2) {
const Model model = avg_pool_float_2::createTestModel();
- const std::vector<Request> requests = createRequests(avg_pool_float_2::examples);
+ const std::vector<Request> requests = createRequests(avg_pool_float_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -128,12 +128,12 @@
generated_tests::Execute(device,
avg_pool_float_3::createTestModel,
avg_pool_float_3::is_ignored,
- avg_pool_float_3::examples);
+ avg_pool_float_3::get_examples());
}
TEST_F(ValidationTest, avg_pool_float_3) {
const Model model = avg_pool_float_3::createTestModel();
- const std::vector<Request> requests = createRequests(avg_pool_float_3::examples);
+ const std::vector<Request> requests = createRequests(avg_pool_float_3::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -151,12 +151,12 @@
generated_tests::Execute(device,
avg_pool_float_4::createTestModel,
avg_pool_float_4::is_ignored,
- avg_pool_float_4::examples);
+ avg_pool_float_4::get_examples());
}
TEST_F(ValidationTest, avg_pool_float_4) {
const Model model = avg_pool_float_4::createTestModel();
- const std::vector<Request> requests = createRequests(avg_pool_float_4::examples);
+ const std::vector<Request> requests = createRequests(avg_pool_float_4::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -174,12 +174,12 @@
generated_tests::Execute(device,
avg_pool_float_5::createTestModel,
avg_pool_float_5::is_ignored,
- avg_pool_float_5::examples);
+ avg_pool_float_5::get_examples());
}
TEST_F(ValidationTest, avg_pool_float_5) {
const Model model = avg_pool_float_5::createTestModel();
- const std::vector<Request> requests = createRequests(avg_pool_float_5::examples);
+ const std::vector<Request> requests = createRequests(avg_pool_float_5::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -197,12 +197,12 @@
generated_tests::Execute(device,
avg_pool_quant8_1::createTestModel,
avg_pool_quant8_1::is_ignored,
- avg_pool_quant8_1::examples);
+ avg_pool_quant8_1::get_examples());
}
TEST_F(ValidationTest, avg_pool_quant8_1) {
const Model model = avg_pool_quant8_1::createTestModel();
- const std::vector<Request> requests = createRequests(avg_pool_quant8_1::examples);
+ const std::vector<Request> requests = createRequests(avg_pool_quant8_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -220,12 +220,12 @@
generated_tests::Execute(device,
avg_pool_quant8_2::createTestModel,
avg_pool_quant8_2::is_ignored,
- avg_pool_quant8_2::examples);
+ avg_pool_quant8_2::get_examples());
}
TEST_F(ValidationTest, avg_pool_quant8_2) {
const Model model = avg_pool_quant8_2::createTestModel();
- const std::vector<Request> requests = createRequests(avg_pool_quant8_2::examples);
+ const std::vector<Request> requests = createRequests(avg_pool_quant8_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -243,12 +243,12 @@
generated_tests::Execute(device,
avg_pool_quant8_3::createTestModel,
avg_pool_quant8_3::is_ignored,
- avg_pool_quant8_3::examples);
+ avg_pool_quant8_3::get_examples());
}
TEST_F(ValidationTest, avg_pool_quant8_3) {
const Model model = avg_pool_quant8_3::createTestModel();
- const std::vector<Request> requests = createRequests(avg_pool_quant8_3::examples);
+ const std::vector<Request> requests = createRequests(avg_pool_quant8_3::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -266,12 +266,12 @@
generated_tests::Execute(device,
avg_pool_quant8_4::createTestModel,
avg_pool_quant8_4::is_ignored,
- avg_pool_quant8_4::examples);
+ avg_pool_quant8_4::get_examples());
}
TEST_F(ValidationTest, avg_pool_quant8_4) {
const Model model = avg_pool_quant8_4::createTestModel();
- const std::vector<Request> requests = createRequests(avg_pool_quant8_4::examples);
+ const std::vector<Request> requests = createRequests(avg_pool_quant8_4::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -289,12 +289,12 @@
generated_tests::Execute(device,
avg_pool_quant8_5::createTestModel,
avg_pool_quant8_5::is_ignored,
- avg_pool_quant8_5::examples);
+ avg_pool_quant8_5::get_examples());
}
TEST_F(ValidationTest, avg_pool_quant8_5) {
const Model model = avg_pool_quant8_5::createTestModel();
- const std::vector<Request> requests = createRequests(avg_pool_quant8_5::examples);
+ const std::vector<Request> requests = createRequests(avg_pool_quant8_5::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -312,12 +312,12 @@
generated_tests::Execute(device,
concat_float_1::createTestModel,
concat_float_1::is_ignored,
- concat_float_1::examples);
+ concat_float_1::get_examples());
}
TEST_F(ValidationTest, concat_float_1) {
const Model model = concat_float_1::createTestModel();
- const std::vector<Request> requests = createRequests(concat_float_1::examples);
+ const std::vector<Request> requests = createRequests(concat_float_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -335,12 +335,12 @@
generated_tests::Execute(device,
concat_float_2::createTestModel,
concat_float_2::is_ignored,
- concat_float_2::examples);
+ concat_float_2::get_examples());
}
TEST_F(ValidationTest, concat_float_2) {
const Model model = concat_float_2::createTestModel();
- const std::vector<Request> requests = createRequests(concat_float_2::examples);
+ const std::vector<Request> requests = createRequests(concat_float_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -358,12 +358,12 @@
generated_tests::Execute(device,
concat_float_3::createTestModel,
concat_float_3::is_ignored,
- concat_float_3::examples);
+ concat_float_3::get_examples());
}
TEST_F(ValidationTest, concat_float_3) {
const Model model = concat_float_3::createTestModel();
- const std::vector<Request> requests = createRequests(concat_float_3::examples);
+ const std::vector<Request> requests = createRequests(concat_float_3::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -381,12 +381,12 @@
generated_tests::Execute(device,
concat_quant8_1::createTestModel,
concat_quant8_1::is_ignored,
- concat_quant8_1::examples);
+ concat_quant8_1::get_examples());
}
TEST_F(ValidationTest, concat_quant8_1) {
const Model model = concat_quant8_1::createTestModel();
- const std::vector<Request> requests = createRequests(concat_quant8_1::examples);
+ const std::vector<Request> requests = createRequests(concat_quant8_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -404,12 +404,12 @@
generated_tests::Execute(device,
concat_quant8_2::createTestModel,
concat_quant8_2::is_ignored,
- concat_quant8_2::examples);
+ concat_quant8_2::get_examples());
}
TEST_F(ValidationTest, concat_quant8_2) {
const Model model = concat_quant8_2::createTestModel();
- const std::vector<Request> requests = createRequests(concat_quant8_2::examples);
+ const std::vector<Request> requests = createRequests(concat_quant8_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -427,12 +427,12 @@
generated_tests::Execute(device,
concat_quant8_3::createTestModel,
concat_quant8_3::is_ignored,
- concat_quant8_3::examples);
+ concat_quant8_3::get_examples());
}
TEST_F(ValidationTest, concat_quant8_3) {
const Model model = concat_quant8_3::createTestModel();
- const std::vector<Request> requests = createRequests(concat_quant8_3::examples);
+ const std::vector<Request> requests = createRequests(concat_quant8_3::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -450,12 +450,12 @@
generated_tests::Execute(device,
conv_1_h3_w2_SAME::createTestModel,
conv_1_h3_w2_SAME::is_ignored,
- conv_1_h3_w2_SAME::examples);
+ conv_1_h3_w2_SAME::get_examples());
}
TEST_F(ValidationTest, conv_1_h3_w2_SAME) {
const Model model = conv_1_h3_w2_SAME::createTestModel();
- const std::vector<Request> requests = createRequests(conv_1_h3_w2_SAME::examples);
+ const std::vector<Request> requests = createRequests(conv_1_h3_w2_SAME::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -473,12 +473,12 @@
generated_tests::Execute(device,
conv_1_h3_w2_VALID::createTestModel,
conv_1_h3_w2_VALID::is_ignored,
- conv_1_h3_w2_VALID::examples);
+ conv_1_h3_w2_VALID::get_examples());
}
TEST_F(ValidationTest, conv_1_h3_w2_VALID) {
const Model model = conv_1_h3_w2_VALID::createTestModel();
- const std::vector<Request> requests = createRequests(conv_1_h3_w2_VALID::examples);
+ const std::vector<Request> requests = createRequests(conv_1_h3_w2_VALID::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -496,12 +496,12 @@
generated_tests::Execute(device,
conv_3_h3_w2_SAME::createTestModel,
conv_3_h3_w2_SAME::is_ignored,
- conv_3_h3_w2_SAME::examples);
+ conv_3_h3_w2_SAME::get_examples());
}
TEST_F(ValidationTest, conv_3_h3_w2_SAME) {
const Model model = conv_3_h3_w2_SAME::createTestModel();
- const std::vector<Request> requests = createRequests(conv_3_h3_w2_SAME::examples);
+ const std::vector<Request> requests = createRequests(conv_3_h3_w2_SAME::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -519,12 +519,12 @@
generated_tests::Execute(device,
conv_3_h3_w2_VALID::createTestModel,
conv_3_h3_w2_VALID::is_ignored,
- conv_3_h3_w2_VALID::examples);
+ conv_3_h3_w2_VALID::get_examples());
}
TEST_F(ValidationTest, conv_3_h3_w2_VALID) {
const Model model = conv_3_h3_w2_VALID::createTestModel();
- const std::vector<Request> requests = createRequests(conv_3_h3_w2_VALID::examples);
+ const std::vector<Request> requests = createRequests(conv_3_h3_w2_VALID::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -542,12 +542,12 @@
generated_tests::Execute(device,
conv_float::createTestModel,
conv_float::is_ignored,
- conv_float::examples);
+ conv_float::get_examples());
}
TEST_F(ValidationTest, conv_float) {
const Model model = conv_float::createTestModel();
- const std::vector<Request> requests = createRequests(conv_float::examples);
+ const std::vector<Request> requests = createRequests(conv_float::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -565,12 +565,12 @@
generated_tests::Execute(device,
conv_float_2::createTestModel,
conv_float_2::is_ignored,
- conv_float_2::examples);
+ conv_float_2::get_examples());
}
TEST_F(ValidationTest, conv_float_2) {
const Model model = conv_float_2::createTestModel();
- const std::vector<Request> requests = createRequests(conv_float_2::examples);
+ const std::vector<Request> requests = createRequests(conv_float_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -588,12 +588,12 @@
generated_tests::Execute(device,
conv_float_channels::createTestModel,
conv_float_channels::is_ignored,
- conv_float_channels::examples);
+ conv_float_channels::get_examples());
}
TEST_F(ValidationTest, conv_float_channels) {
const Model model = conv_float_channels::createTestModel();
- const std::vector<Request> requests = createRequests(conv_float_channels::examples);
+ const std::vector<Request> requests = createRequests(conv_float_channels::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -611,12 +611,12 @@
generated_tests::Execute(device,
conv_float_channels_weights_as_inputs::createTestModel,
conv_float_channels_weights_as_inputs::is_ignored,
- conv_float_channels_weights_as_inputs::examples);
+ conv_float_channels_weights_as_inputs::get_examples());
}
TEST_F(ValidationTest, conv_float_channels_weights_as_inputs) {
const Model model = conv_float_channels_weights_as_inputs::createTestModel();
- const std::vector<Request> requests = createRequests(conv_float_channels_weights_as_inputs::examples);
+ const std::vector<Request> requests = createRequests(conv_float_channels_weights_as_inputs::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -634,12 +634,12 @@
generated_tests::Execute(device,
conv_float_large::createTestModel,
conv_float_large::is_ignored,
- conv_float_large::examples);
+ conv_float_large::get_examples());
}
TEST_F(ValidationTest, conv_float_large) {
const Model model = conv_float_large::createTestModel();
- const std::vector<Request> requests = createRequests(conv_float_large::examples);
+ const std::vector<Request> requests = createRequests(conv_float_large::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -657,12 +657,12 @@
generated_tests::Execute(device,
conv_float_large_weights_as_inputs::createTestModel,
conv_float_large_weights_as_inputs::is_ignored,
- conv_float_large_weights_as_inputs::examples);
+ conv_float_large_weights_as_inputs::get_examples());
}
TEST_F(ValidationTest, conv_float_large_weights_as_inputs) {
const Model model = conv_float_large_weights_as_inputs::createTestModel();
- const std::vector<Request> requests = createRequests(conv_float_large_weights_as_inputs::examples);
+ const std::vector<Request> requests = createRequests(conv_float_large_weights_as_inputs::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -680,12 +680,12 @@
generated_tests::Execute(device,
conv_float_weights_as_inputs::createTestModel,
conv_float_weights_as_inputs::is_ignored,
- conv_float_weights_as_inputs::examples);
+ conv_float_weights_as_inputs::get_examples());
}
TEST_F(ValidationTest, conv_float_weights_as_inputs) {
const Model model = conv_float_weights_as_inputs::createTestModel();
- const std::vector<Request> requests = createRequests(conv_float_weights_as_inputs::examples);
+ const std::vector<Request> requests = createRequests(conv_float_weights_as_inputs::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -703,12 +703,12 @@
generated_tests::Execute(device,
conv_quant8::createTestModel,
conv_quant8::is_ignored,
- conv_quant8::examples);
+ conv_quant8::get_examples());
}
TEST_F(ValidationTest, conv_quant8) {
const Model model = conv_quant8::createTestModel();
- const std::vector<Request> requests = createRequests(conv_quant8::examples);
+ const std::vector<Request> requests = createRequests(conv_quant8::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -726,12 +726,12 @@
generated_tests::Execute(device,
conv_quant8_2::createTestModel,
conv_quant8_2::is_ignored,
- conv_quant8_2::examples);
+ conv_quant8_2::get_examples());
}
TEST_F(ValidationTest, conv_quant8_2) {
const Model model = conv_quant8_2::createTestModel();
- const std::vector<Request> requests = createRequests(conv_quant8_2::examples);
+ const std::vector<Request> requests = createRequests(conv_quant8_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -749,12 +749,12 @@
generated_tests::Execute(device,
conv_quant8_channels::createTestModel,
conv_quant8_channels::is_ignored,
- conv_quant8_channels::examples);
+ conv_quant8_channels::get_examples());
}
TEST_F(ValidationTest, conv_quant8_channels) {
const Model model = conv_quant8_channels::createTestModel();
- const std::vector<Request> requests = createRequests(conv_quant8_channels::examples);
+ const std::vector<Request> requests = createRequests(conv_quant8_channels::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -772,12 +772,12 @@
generated_tests::Execute(device,
conv_quant8_channels_weights_as_inputs::createTestModel,
conv_quant8_channels_weights_as_inputs::is_ignored,
- conv_quant8_channels_weights_as_inputs::examples);
+ conv_quant8_channels_weights_as_inputs::get_examples());
}
TEST_F(ValidationTest, conv_quant8_channels_weights_as_inputs) {
const Model model = conv_quant8_channels_weights_as_inputs::createTestModel();
- const std::vector<Request> requests = createRequests(conv_quant8_channels_weights_as_inputs::examples);
+ const std::vector<Request> requests = createRequests(conv_quant8_channels_weights_as_inputs::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -795,12 +795,12 @@
generated_tests::Execute(device,
conv_quant8_large::createTestModel,
conv_quant8_large::is_ignored,
- conv_quant8_large::examples);
+ conv_quant8_large::get_examples());
}
TEST_F(ValidationTest, conv_quant8_large) {
const Model model = conv_quant8_large::createTestModel();
- const std::vector<Request> requests = createRequests(conv_quant8_large::examples);
+ const std::vector<Request> requests = createRequests(conv_quant8_large::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -818,12 +818,12 @@
generated_tests::Execute(device,
conv_quant8_large_weights_as_inputs::createTestModel,
conv_quant8_large_weights_as_inputs::is_ignored,
- conv_quant8_large_weights_as_inputs::examples);
+ conv_quant8_large_weights_as_inputs::get_examples());
}
TEST_F(ValidationTest, conv_quant8_large_weights_as_inputs) {
const Model model = conv_quant8_large_weights_as_inputs::createTestModel();
- const std::vector<Request> requests = createRequests(conv_quant8_large_weights_as_inputs::examples);
+ const std::vector<Request> requests = createRequests(conv_quant8_large_weights_as_inputs::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -841,12 +841,12 @@
generated_tests::Execute(device,
conv_quant8_overflow::createTestModel,
conv_quant8_overflow::is_ignored,
- conv_quant8_overflow::examples);
+ conv_quant8_overflow::get_examples());
}
TEST_F(ValidationTest, conv_quant8_overflow) {
const Model model = conv_quant8_overflow::createTestModel();
- const std::vector<Request> requests = createRequests(conv_quant8_overflow::examples);
+ const std::vector<Request> requests = createRequests(conv_quant8_overflow::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -864,12 +864,12 @@
generated_tests::Execute(device,
conv_quant8_overflow_weights_as_inputs::createTestModel,
conv_quant8_overflow_weights_as_inputs::is_ignored,
- conv_quant8_overflow_weights_as_inputs::examples);
+ conv_quant8_overflow_weights_as_inputs::get_examples());
}
TEST_F(ValidationTest, conv_quant8_overflow_weights_as_inputs) {
const Model model = conv_quant8_overflow_weights_as_inputs::createTestModel();
- const std::vector<Request> requests = createRequests(conv_quant8_overflow_weights_as_inputs::examples);
+ const std::vector<Request> requests = createRequests(conv_quant8_overflow_weights_as_inputs::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -887,12 +887,12 @@
generated_tests::Execute(device,
conv_quant8_weights_as_inputs::createTestModel,
conv_quant8_weights_as_inputs::is_ignored,
- conv_quant8_weights_as_inputs::examples);
+ conv_quant8_weights_as_inputs::get_examples());
}
TEST_F(ValidationTest, conv_quant8_weights_as_inputs) {
const Model model = conv_quant8_weights_as_inputs::createTestModel();
- const std::vector<Request> requests = createRequests(conv_quant8_weights_as_inputs::examples);
+ const std::vector<Request> requests = createRequests(conv_quant8_weights_as_inputs::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -910,12 +910,12 @@
generated_tests::Execute(device,
depth_to_space_float_1::createTestModel,
depth_to_space_float_1::is_ignored,
- depth_to_space_float_1::examples);
+ depth_to_space_float_1::get_examples());
}
TEST_F(ValidationTest, depth_to_space_float_1) {
const Model model = depth_to_space_float_1::createTestModel();
- const std::vector<Request> requests = createRequests(depth_to_space_float_1::examples);
+ const std::vector<Request> requests = createRequests(depth_to_space_float_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -933,12 +933,12 @@
generated_tests::Execute(device,
depth_to_space_float_2::createTestModel,
depth_to_space_float_2::is_ignored,
- depth_to_space_float_2::examples);
+ depth_to_space_float_2::get_examples());
}
TEST_F(ValidationTest, depth_to_space_float_2) {
const Model model = depth_to_space_float_2::createTestModel();
- const std::vector<Request> requests = createRequests(depth_to_space_float_2::examples);
+ const std::vector<Request> requests = createRequests(depth_to_space_float_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -956,12 +956,12 @@
generated_tests::Execute(device,
depth_to_space_float_3::createTestModel,
depth_to_space_float_3::is_ignored,
- depth_to_space_float_3::examples);
+ depth_to_space_float_3::get_examples());
}
TEST_F(ValidationTest, depth_to_space_float_3) {
const Model model = depth_to_space_float_3::createTestModel();
- const std::vector<Request> requests = createRequests(depth_to_space_float_3::examples);
+ const std::vector<Request> requests = createRequests(depth_to_space_float_3::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -979,12 +979,12 @@
generated_tests::Execute(device,
depth_to_space_quant8_1::createTestModel,
depth_to_space_quant8_1::is_ignored,
- depth_to_space_quant8_1::examples);
+ depth_to_space_quant8_1::get_examples());
}
TEST_F(ValidationTest, depth_to_space_quant8_1) {
const Model model = depth_to_space_quant8_1::createTestModel();
- const std::vector<Request> requests = createRequests(depth_to_space_quant8_1::examples);
+ const std::vector<Request> requests = createRequests(depth_to_space_quant8_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1002,12 +1002,12 @@
generated_tests::Execute(device,
depth_to_space_quant8_2::createTestModel,
depth_to_space_quant8_2::is_ignored,
- depth_to_space_quant8_2::examples);
+ depth_to_space_quant8_2::get_examples());
}
TEST_F(ValidationTest, depth_to_space_quant8_2) {
const Model model = depth_to_space_quant8_2::createTestModel();
- const std::vector<Request> requests = createRequests(depth_to_space_quant8_2::examples);
+ const std::vector<Request> requests = createRequests(depth_to_space_quant8_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1025,12 +1025,12 @@
generated_tests::Execute(device,
depthwise_conv::createTestModel,
depthwise_conv::is_ignored,
- depthwise_conv::examples);
+ depthwise_conv::get_examples());
}
TEST_F(ValidationTest, depthwise_conv) {
const Model model = depthwise_conv::createTestModel();
- const std::vector<Request> requests = createRequests(depthwise_conv::examples);
+ const std::vector<Request> requests = createRequests(depthwise_conv::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1048,12 +1048,12 @@
generated_tests::Execute(device,
depthwise_conv2d_float::createTestModel,
depthwise_conv2d_float::is_ignored,
- depthwise_conv2d_float::examples);
+ depthwise_conv2d_float::get_examples());
}
TEST_F(ValidationTest, depthwise_conv2d_float) {
const Model model = depthwise_conv2d_float::createTestModel();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_float::examples);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_float::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1071,12 +1071,12 @@
generated_tests::Execute(device,
depthwise_conv2d_float_2::createTestModel,
depthwise_conv2d_float_2::is_ignored,
- depthwise_conv2d_float_2::examples);
+ depthwise_conv2d_float_2::get_examples());
}
TEST_F(ValidationTest, depthwise_conv2d_float_2) {
const Model model = depthwise_conv2d_float_2::createTestModel();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_float_2::examples);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_float_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1094,12 +1094,12 @@
generated_tests::Execute(device,
depthwise_conv2d_float_large::createTestModel,
depthwise_conv2d_float_large::is_ignored,
- depthwise_conv2d_float_large::examples);
+ depthwise_conv2d_float_large::get_examples());
}
TEST_F(ValidationTest, depthwise_conv2d_float_large) {
const Model model = depthwise_conv2d_float_large::createTestModel();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_float_large::examples);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_float_large::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1117,12 +1117,12 @@
generated_tests::Execute(device,
depthwise_conv2d_float_large_2::createTestModel,
depthwise_conv2d_float_large_2::is_ignored,
- depthwise_conv2d_float_large_2::examples);
+ depthwise_conv2d_float_large_2::get_examples());
}
TEST_F(ValidationTest, depthwise_conv2d_float_large_2) {
const Model model = depthwise_conv2d_float_large_2::createTestModel();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_float_large_2::examples);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_float_large_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1140,12 +1140,12 @@
generated_tests::Execute(device,
depthwise_conv2d_float_large_2_weights_as_inputs::createTestModel,
depthwise_conv2d_float_large_2_weights_as_inputs::is_ignored,
- depthwise_conv2d_float_large_2_weights_as_inputs::examples);
+ depthwise_conv2d_float_large_2_weights_as_inputs::get_examples());
}
TEST_F(ValidationTest, depthwise_conv2d_float_large_2_weights_as_inputs) {
const Model model = depthwise_conv2d_float_large_2_weights_as_inputs::createTestModel();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_float_large_2_weights_as_inputs::examples);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_float_large_2_weights_as_inputs::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1163,12 +1163,12 @@
generated_tests::Execute(device,
depthwise_conv2d_float_large_weights_as_inputs::createTestModel,
depthwise_conv2d_float_large_weights_as_inputs::is_ignored,
- depthwise_conv2d_float_large_weights_as_inputs::examples);
+ depthwise_conv2d_float_large_weights_as_inputs::get_examples());
}
TEST_F(ValidationTest, depthwise_conv2d_float_large_weights_as_inputs) {
const Model model = depthwise_conv2d_float_large_weights_as_inputs::createTestModel();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_float_large_weights_as_inputs::examples);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_float_large_weights_as_inputs::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1186,12 +1186,12 @@
generated_tests::Execute(device,
depthwise_conv2d_float_weights_as_inputs::createTestModel,
depthwise_conv2d_float_weights_as_inputs::is_ignored,
- depthwise_conv2d_float_weights_as_inputs::examples);
+ depthwise_conv2d_float_weights_as_inputs::get_examples());
}
TEST_F(ValidationTest, depthwise_conv2d_float_weights_as_inputs) {
const Model model = depthwise_conv2d_float_weights_as_inputs::createTestModel();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_float_weights_as_inputs::examples);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_float_weights_as_inputs::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1209,12 +1209,12 @@
generated_tests::Execute(device,
depthwise_conv2d_quant8::createTestModel,
depthwise_conv2d_quant8::is_ignored,
- depthwise_conv2d_quant8::examples);
+ depthwise_conv2d_quant8::get_examples());
}
TEST_F(ValidationTest, depthwise_conv2d_quant8) {
const Model model = depthwise_conv2d_quant8::createTestModel();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_quant8::examples);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_quant8::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1232,12 +1232,12 @@
generated_tests::Execute(device,
depthwise_conv2d_quant8_2::createTestModel,
depthwise_conv2d_quant8_2::is_ignored,
- depthwise_conv2d_quant8_2::examples);
+ depthwise_conv2d_quant8_2::get_examples());
}
TEST_F(ValidationTest, depthwise_conv2d_quant8_2) {
const Model model = depthwise_conv2d_quant8_2::createTestModel();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_quant8_2::examples);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_quant8_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1255,12 +1255,12 @@
generated_tests::Execute(device,
depthwise_conv2d_quant8_large::createTestModel,
depthwise_conv2d_quant8_large::is_ignored,
- depthwise_conv2d_quant8_large::examples);
+ depthwise_conv2d_quant8_large::get_examples());
}
TEST_F(ValidationTest, depthwise_conv2d_quant8_large) {
const Model model = depthwise_conv2d_quant8_large::createTestModel();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_quant8_large::examples);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_quant8_large::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1278,12 +1278,12 @@
generated_tests::Execute(device,
depthwise_conv2d_quant8_large_weights_as_inputs::createTestModel,
depthwise_conv2d_quant8_large_weights_as_inputs::is_ignored,
- depthwise_conv2d_quant8_large_weights_as_inputs::examples);
+ depthwise_conv2d_quant8_large_weights_as_inputs::get_examples());
}
TEST_F(ValidationTest, depthwise_conv2d_quant8_large_weights_as_inputs) {
const Model model = depthwise_conv2d_quant8_large_weights_as_inputs::createTestModel();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_quant8_large_weights_as_inputs::examples);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_quant8_large_weights_as_inputs::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1301,12 +1301,12 @@
generated_tests::Execute(device,
depthwise_conv2d_quant8_weights_as_inputs::createTestModel,
depthwise_conv2d_quant8_weights_as_inputs::is_ignored,
- depthwise_conv2d_quant8_weights_as_inputs::examples);
+ depthwise_conv2d_quant8_weights_as_inputs::get_examples());
}
TEST_F(ValidationTest, depthwise_conv2d_quant8_weights_as_inputs) {
const Model model = depthwise_conv2d_quant8_weights_as_inputs::createTestModel();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_quant8_weights_as_inputs::examples);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_quant8_weights_as_inputs::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1324,12 +1324,12 @@
generated_tests::Execute(device,
dequantize::createTestModel,
dequantize::is_ignored,
- dequantize::examples);
+ dequantize::get_examples());
}
TEST_F(ValidationTest, dequantize) {
const Model model = dequantize::createTestModel();
- const std::vector<Request> requests = createRequests(dequantize::examples);
+ const std::vector<Request> requests = createRequests(dequantize::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1347,12 +1347,12 @@
generated_tests::Execute(device,
embedding_lookup::createTestModel,
embedding_lookup::is_ignored,
- embedding_lookup::examples);
+ embedding_lookup::get_examples());
}
TEST_F(ValidationTest, embedding_lookup) {
const Model model = embedding_lookup::createTestModel();
- const std::vector<Request> requests = createRequests(embedding_lookup::examples);
+ const std::vector<Request> requests = createRequests(embedding_lookup::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1370,12 +1370,12 @@
generated_tests::Execute(device,
floor::createTestModel,
floor::is_ignored,
- floor::examples);
+ floor::get_examples());
}
TEST_F(ValidationTest, floor) {
const Model model = floor::createTestModel();
- const std::vector<Request> requests = createRequests(floor::examples);
+ const std::vector<Request> requests = createRequests(floor::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1393,12 +1393,12 @@
generated_tests::Execute(device,
fully_connected_float::createTestModel,
fully_connected_float::is_ignored,
- fully_connected_float::examples);
+ fully_connected_float::get_examples());
}
TEST_F(ValidationTest, fully_connected_float) {
const Model model = fully_connected_float::createTestModel();
- const std::vector<Request> requests = createRequests(fully_connected_float::examples);
+ const std::vector<Request> requests = createRequests(fully_connected_float::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1416,12 +1416,12 @@
generated_tests::Execute(device,
fully_connected_float_2::createTestModel,
fully_connected_float_2::is_ignored,
- fully_connected_float_2::examples);
+ fully_connected_float_2::get_examples());
}
TEST_F(ValidationTest, fully_connected_float_2) {
const Model model = fully_connected_float_2::createTestModel();
- const std::vector<Request> requests = createRequests(fully_connected_float_2::examples);
+ const std::vector<Request> requests = createRequests(fully_connected_float_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1439,12 +1439,12 @@
generated_tests::Execute(device,
fully_connected_float_3::createTestModel,
fully_connected_float_3::is_ignored,
- fully_connected_float_3::examples);
+ fully_connected_float_3::get_examples());
}
TEST_F(ValidationTest, fully_connected_float_3) {
const Model model = fully_connected_float_3::createTestModel();
- const std::vector<Request> requests = createRequests(fully_connected_float_3::examples);
+ const std::vector<Request> requests = createRequests(fully_connected_float_3::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1462,12 +1462,12 @@
generated_tests::Execute(device,
fully_connected_float_large::createTestModel,
fully_connected_float_large::is_ignored,
- fully_connected_float_large::examples);
+ fully_connected_float_large::get_examples());
}
TEST_F(ValidationTest, fully_connected_float_large) {
const Model model = fully_connected_float_large::createTestModel();
- const std::vector<Request> requests = createRequests(fully_connected_float_large::examples);
+ const std::vector<Request> requests = createRequests(fully_connected_float_large::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1485,12 +1485,12 @@
generated_tests::Execute(device,
fully_connected_float_large_weights_as_inputs::createTestModel,
fully_connected_float_large_weights_as_inputs::is_ignored,
- fully_connected_float_large_weights_as_inputs::examples);
+ fully_connected_float_large_weights_as_inputs::get_examples());
}
TEST_F(ValidationTest, fully_connected_float_large_weights_as_inputs) {
const Model model = fully_connected_float_large_weights_as_inputs::createTestModel();
- const std::vector<Request> requests = createRequests(fully_connected_float_large_weights_as_inputs::examples);
+ const std::vector<Request> requests = createRequests(fully_connected_float_large_weights_as_inputs::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1508,12 +1508,12 @@
generated_tests::Execute(device,
fully_connected_float_weights_as_inputs::createTestModel,
fully_connected_float_weights_as_inputs::is_ignored,
- fully_connected_float_weights_as_inputs::examples);
+ fully_connected_float_weights_as_inputs::get_examples());
}
TEST_F(ValidationTest, fully_connected_float_weights_as_inputs) {
const Model model = fully_connected_float_weights_as_inputs::createTestModel();
- const std::vector<Request> requests = createRequests(fully_connected_float_weights_as_inputs::examples);
+ const std::vector<Request> requests = createRequests(fully_connected_float_weights_as_inputs::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1531,12 +1531,12 @@
generated_tests::Execute(device,
fully_connected_quant8::createTestModel,
fully_connected_quant8::is_ignored,
- fully_connected_quant8::examples);
+ fully_connected_quant8::get_examples());
}
TEST_F(ValidationTest, fully_connected_quant8) {
const Model model = fully_connected_quant8::createTestModel();
- const std::vector<Request> requests = createRequests(fully_connected_quant8::examples);
+ const std::vector<Request> requests = createRequests(fully_connected_quant8::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1554,12 +1554,12 @@
generated_tests::Execute(device,
fully_connected_quant8_2::createTestModel,
fully_connected_quant8_2::is_ignored,
- fully_connected_quant8_2::examples);
+ fully_connected_quant8_2::get_examples());
}
TEST_F(ValidationTest, fully_connected_quant8_2) {
const Model model = fully_connected_quant8_2::createTestModel();
- const std::vector<Request> requests = createRequests(fully_connected_quant8_2::examples);
+ const std::vector<Request> requests = createRequests(fully_connected_quant8_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1577,12 +1577,12 @@
generated_tests::Execute(device,
fully_connected_quant8_large::createTestModel,
fully_connected_quant8_large::is_ignored,
- fully_connected_quant8_large::examples);
+ fully_connected_quant8_large::get_examples());
}
TEST_F(ValidationTest, fully_connected_quant8_large) {
const Model model = fully_connected_quant8_large::createTestModel();
- const std::vector<Request> requests = createRequests(fully_connected_quant8_large::examples);
+ const std::vector<Request> requests = createRequests(fully_connected_quant8_large::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1600,12 +1600,12 @@
generated_tests::Execute(device,
fully_connected_quant8_large_weights_as_inputs::createTestModel,
fully_connected_quant8_large_weights_as_inputs::is_ignored,
- fully_connected_quant8_large_weights_as_inputs::examples);
+ fully_connected_quant8_large_weights_as_inputs::get_examples());
}
TEST_F(ValidationTest, fully_connected_quant8_large_weights_as_inputs) {
const Model model = fully_connected_quant8_large_weights_as_inputs::createTestModel();
- const std::vector<Request> requests = createRequests(fully_connected_quant8_large_weights_as_inputs::examples);
+ const std::vector<Request> requests = createRequests(fully_connected_quant8_large_weights_as_inputs::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1623,12 +1623,12 @@
generated_tests::Execute(device,
fully_connected_quant8_weights_as_inputs::createTestModel,
fully_connected_quant8_weights_as_inputs::is_ignored,
- fully_connected_quant8_weights_as_inputs::examples);
+ fully_connected_quant8_weights_as_inputs::get_examples());
}
TEST_F(ValidationTest, fully_connected_quant8_weights_as_inputs) {
const Model model = fully_connected_quant8_weights_as_inputs::createTestModel();
- const std::vector<Request> requests = createRequests(fully_connected_quant8_weights_as_inputs::examples);
+ const std::vector<Request> requests = createRequests(fully_connected_quant8_weights_as_inputs::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1646,12 +1646,12 @@
generated_tests::Execute(device,
hashtable_lookup_float::createTestModel,
hashtable_lookup_float::is_ignored,
- hashtable_lookup_float::examples);
+ hashtable_lookup_float::get_examples());
}
TEST_F(ValidationTest, hashtable_lookup_float) {
const Model model = hashtable_lookup_float::createTestModel();
- const std::vector<Request> requests = createRequests(hashtable_lookup_float::examples);
+ const std::vector<Request> requests = createRequests(hashtable_lookup_float::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1669,12 +1669,12 @@
generated_tests::Execute(device,
hashtable_lookup_quant8::createTestModel,
hashtable_lookup_quant8::is_ignored,
- hashtable_lookup_quant8::examples);
+ hashtable_lookup_quant8::get_examples());
}
TEST_F(ValidationTest, hashtable_lookup_quant8) {
const Model model = hashtable_lookup_quant8::createTestModel();
- const std::vector<Request> requests = createRequests(hashtable_lookup_quant8::examples);
+ const std::vector<Request> requests = createRequests(hashtable_lookup_quant8::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1692,12 +1692,12 @@
generated_tests::Execute(device,
l2_normalization::createTestModel,
l2_normalization::is_ignored,
- l2_normalization::examples);
+ l2_normalization::get_examples());
}
TEST_F(ValidationTest, l2_normalization) {
const Model model = l2_normalization::createTestModel();
- const std::vector<Request> requests = createRequests(l2_normalization::examples);
+ const std::vector<Request> requests = createRequests(l2_normalization::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1715,12 +1715,12 @@
generated_tests::Execute(device,
l2_normalization_2::createTestModel,
l2_normalization_2::is_ignored,
- l2_normalization_2::examples);
+ l2_normalization_2::get_examples());
}
TEST_F(ValidationTest, l2_normalization_2) {
const Model model = l2_normalization_2::createTestModel();
- const std::vector<Request> requests = createRequests(l2_normalization_2::examples);
+ const std::vector<Request> requests = createRequests(l2_normalization_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1738,12 +1738,12 @@
generated_tests::Execute(device,
l2_normalization_large::createTestModel,
l2_normalization_large::is_ignored,
- l2_normalization_large::examples);
+ l2_normalization_large::get_examples());
}
TEST_F(ValidationTest, l2_normalization_large) {
const Model model = l2_normalization_large::createTestModel();
- const std::vector<Request> requests = createRequests(l2_normalization_large::examples);
+ const std::vector<Request> requests = createRequests(l2_normalization_large::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1761,12 +1761,12 @@
generated_tests::Execute(device,
l2_pool_float::createTestModel,
l2_pool_float::is_ignored,
- l2_pool_float::examples);
+ l2_pool_float::get_examples());
}
TEST_F(ValidationTest, l2_pool_float) {
const Model model = l2_pool_float::createTestModel();
- const std::vector<Request> requests = createRequests(l2_pool_float::examples);
+ const std::vector<Request> requests = createRequests(l2_pool_float::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1784,12 +1784,12 @@
generated_tests::Execute(device,
l2_pool_float_2::createTestModel,
l2_pool_float_2::is_ignored,
- l2_pool_float_2::examples);
+ l2_pool_float_2::get_examples());
}
TEST_F(ValidationTest, l2_pool_float_2) {
const Model model = l2_pool_float_2::createTestModel();
- const std::vector<Request> requests = createRequests(l2_pool_float_2::examples);
+ const std::vector<Request> requests = createRequests(l2_pool_float_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1807,12 +1807,12 @@
generated_tests::Execute(device,
l2_pool_float_large::createTestModel,
l2_pool_float_large::is_ignored,
- l2_pool_float_large::examples);
+ l2_pool_float_large::get_examples());
}
TEST_F(ValidationTest, l2_pool_float_large) {
const Model model = l2_pool_float_large::createTestModel();
- const std::vector<Request> requests = createRequests(l2_pool_float_large::examples);
+ const std::vector<Request> requests = createRequests(l2_pool_float_large::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1830,12 +1830,12 @@
generated_tests::Execute(device,
local_response_norm_float_1::createTestModel,
local_response_norm_float_1::is_ignored,
- local_response_norm_float_1::examples);
+ local_response_norm_float_1::get_examples());
}
TEST_F(ValidationTest, local_response_norm_float_1) {
const Model model = local_response_norm_float_1::createTestModel();
- const std::vector<Request> requests = createRequests(local_response_norm_float_1::examples);
+ const std::vector<Request> requests = createRequests(local_response_norm_float_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1853,12 +1853,12 @@
generated_tests::Execute(device,
local_response_norm_float_2::createTestModel,
local_response_norm_float_2::is_ignored,
- local_response_norm_float_2::examples);
+ local_response_norm_float_2::get_examples());
}
TEST_F(ValidationTest, local_response_norm_float_2) {
const Model model = local_response_norm_float_2::createTestModel();
- const std::vector<Request> requests = createRequests(local_response_norm_float_2::examples);
+ const std::vector<Request> requests = createRequests(local_response_norm_float_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1876,12 +1876,12 @@
generated_tests::Execute(device,
local_response_norm_float_3::createTestModel,
local_response_norm_float_3::is_ignored,
- local_response_norm_float_3::examples);
+ local_response_norm_float_3::get_examples());
}
TEST_F(ValidationTest, local_response_norm_float_3) {
const Model model = local_response_norm_float_3::createTestModel();
- const std::vector<Request> requests = createRequests(local_response_norm_float_3::examples);
+ const std::vector<Request> requests = createRequests(local_response_norm_float_3::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1899,12 +1899,12 @@
generated_tests::Execute(device,
local_response_norm_float_4::createTestModel,
local_response_norm_float_4::is_ignored,
- local_response_norm_float_4::examples);
+ local_response_norm_float_4::get_examples());
}
TEST_F(ValidationTest, local_response_norm_float_4) {
const Model model = local_response_norm_float_4::createTestModel();
- const std::vector<Request> requests = createRequests(local_response_norm_float_4::examples);
+ const std::vector<Request> requests = createRequests(local_response_norm_float_4::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1922,12 +1922,12 @@
generated_tests::Execute(device,
logistic_float_1::createTestModel,
logistic_float_1::is_ignored,
- logistic_float_1::examples);
+ logistic_float_1::get_examples());
}
TEST_F(ValidationTest, logistic_float_1) {
const Model model = logistic_float_1::createTestModel();
- const std::vector<Request> requests = createRequests(logistic_float_1::examples);
+ const std::vector<Request> requests = createRequests(logistic_float_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1945,12 +1945,12 @@
generated_tests::Execute(device,
logistic_float_2::createTestModel,
logistic_float_2::is_ignored,
- logistic_float_2::examples);
+ logistic_float_2::get_examples());
}
TEST_F(ValidationTest, logistic_float_2) {
const Model model = logistic_float_2::createTestModel();
- const std::vector<Request> requests = createRequests(logistic_float_2::examples);
+ const std::vector<Request> requests = createRequests(logistic_float_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1968,12 +1968,12 @@
generated_tests::Execute(device,
logistic_quant8_1::createTestModel,
logistic_quant8_1::is_ignored,
- logistic_quant8_1::examples);
+ logistic_quant8_1::get_examples());
}
TEST_F(ValidationTest, logistic_quant8_1) {
const Model model = logistic_quant8_1::createTestModel();
- const std::vector<Request> requests = createRequests(logistic_quant8_1::examples);
+ const std::vector<Request> requests = createRequests(logistic_quant8_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1991,12 +1991,12 @@
generated_tests::Execute(device,
logistic_quant8_2::createTestModel,
logistic_quant8_2::is_ignored,
- logistic_quant8_2::examples);
+ logistic_quant8_2::get_examples());
}
TEST_F(ValidationTest, logistic_quant8_2) {
const Model model = logistic_quant8_2::createTestModel();
- const std::vector<Request> requests = createRequests(logistic_quant8_2::examples);
+ const std::vector<Request> requests = createRequests(logistic_quant8_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2014,12 +2014,12 @@
generated_tests::Execute(device,
lsh_projection::createTestModel,
lsh_projection::is_ignored,
- lsh_projection::examples);
+ lsh_projection::get_examples());
}
TEST_F(ValidationTest, lsh_projection) {
const Model model = lsh_projection::createTestModel();
- const std::vector<Request> requests = createRequests(lsh_projection::examples);
+ const std::vector<Request> requests = createRequests(lsh_projection::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2037,12 +2037,12 @@
generated_tests::Execute(device,
lsh_projection_2::createTestModel,
lsh_projection_2::is_ignored,
- lsh_projection_2::examples);
+ lsh_projection_2::get_examples());
}
TEST_F(ValidationTest, lsh_projection_2) {
const Model model = lsh_projection_2::createTestModel();
- const std::vector<Request> requests = createRequests(lsh_projection_2::examples);
+ const std::vector<Request> requests = createRequests(lsh_projection_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2060,12 +2060,12 @@
generated_tests::Execute(device,
lsh_projection_weights_as_inputs::createTestModel,
lsh_projection_weights_as_inputs::is_ignored,
- lsh_projection_weights_as_inputs::examples);
+ lsh_projection_weights_as_inputs::get_examples());
}
TEST_F(ValidationTest, lsh_projection_weights_as_inputs) {
const Model model = lsh_projection_weights_as_inputs::createTestModel();
- const std::vector<Request> requests = createRequests(lsh_projection_weights_as_inputs::examples);
+ const std::vector<Request> requests = createRequests(lsh_projection_weights_as_inputs::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2083,12 +2083,12 @@
generated_tests::Execute(device,
lstm::createTestModel,
lstm::is_ignored,
- lstm::examples);
+ lstm::get_examples());
}
TEST_F(ValidationTest, lstm) {
const Model model = lstm::createTestModel();
- const std::vector<Request> requests = createRequests(lstm::examples);
+ const std::vector<Request> requests = createRequests(lstm::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2106,12 +2106,12 @@
generated_tests::Execute(device,
lstm2::createTestModel,
lstm2::is_ignored,
- lstm2::examples);
+ lstm2::get_examples());
}
TEST_F(ValidationTest, lstm2) {
const Model model = lstm2::createTestModel();
- const std::vector<Request> requests = createRequests(lstm2::examples);
+ const std::vector<Request> requests = createRequests(lstm2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2129,12 +2129,12 @@
generated_tests::Execute(device,
lstm2_state::createTestModel,
lstm2_state::is_ignored,
- lstm2_state::examples);
+ lstm2_state::get_examples());
}
TEST_F(ValidationTest, lstm2_state) {
const Model model = lstm2_state::createTestModel();
- const std::vector<Request> requests = createRequests(lstm2_state::examples);
+ const std::vector<Request> requests = createRequests(lstm2_state::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2152,12 +2152,12 @@
generated_tests::Execute(device,
lstm2_state2::createTestModel,
lstm2_state2::is_ignored,
- lstm2_state2::examples);
+ lstm2_state2::get_examples());
}
TEST_F(ValidationTest, lstm2_state2) {
const Model model = lstm2_state2::createTestModel();
- const std::vector<Request> requests = createRequests(lstm2_state2::examples);
+ const std::vector<Request> requests = createRequests(lstm2_state2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2175,12 +2175,12 @@
generated_tests::Execute(device,
lstm3::createTestModel,
lstm3::is_ignored,
- lstm3::examples);
+ lstm3::get_examples());
}
TEST_F(ValidationTest, lstm3) {
const Model model = lstm3::createTestModel();
- const std::vector<Request> requests = createRequests(lstm3::examples);
+ const std::vector<Request> requests = createRequests(lstm3::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2198,12 +2198,12 @@
generated_tests::Execute(device,
lstm3_state::createTestModel,
lstm3_state::is_ignored,
- lstm3_state::examples);
+ lstm3_state::get_examples());
}
TEST_F(ValidationTest, lstm3_state) {
const Model model = lstm3_state::createTestModel();
- const std::vector<Request> requests = createRequests(lstm3_state::examples);
+ const std::vector<Request> requests = createRequests(lstm3_state::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2221,12 +2221,12 @@
generated_tests::Execute(device,
lstm3_state2::createTestModel,
lstm3_state2::is_ignored,
- lstm3_state2::examples);
+ lstm3_state2::get_examples());
}
TEST_F(ValidationTest, lstm3_state2) {
const Model model = lstm3_state2::createTestModel();
- const std::vector<Request> requests = createRequests(lstm3_state2::examples);
+ const std::vector<Request> requests = createRequests(lstm3_state2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2244,12 +2244,12 @@
generated_tests::Execute(device,
lstm3_state3::createTestModel,
lstm3_state3::is_ignored,
- lstm3_state3::examples);
+ lstm3_state3::get_examples());
}
TEST_F(ValidationTest, lstm3_state3) {
const Model model = lstm3_state3::createTestModel();
- const std::vector<Request> requests = createRequests(lstm3_state3::examples);
+ const std::vector<Request> requests = createRequests(lstm3_state3::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2267,12 +2267,12 @@
generated_tests::Execute(device,
lstm_state::createTestModel,
lstm_state::is_ignored,
- lstm_state::examples);
+ lstm_state::get_examples());
}
TEST_F(ValidationTest, lstm_state) {
const Model model = lstm_state::createTestModel();
- const std::vector<Request> requests = createRequests(lstm_state::examples);
+ const std::vector<Request> requests = createRequests(lstm_state::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2290,12 +2290,12 @@
generated_tests::Execute(device,
lstm_state2::createTestModel,
lstm_state2::is_ignored,
- lstm_state2::examples);
+ lstm_state2::get_examples());
}
TEST_F(ValidationTest, lstm_state2) {
const Model model = lstm_state2::createTestModel();
- const std::vector<Request> requests = createRequests(lstm_state2::examples);
+ const std::vector<Request> requests = createRequests(lstm_state2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2313,12 +2313,12 @@
generated_tests::Execute(device,
max_pool_float_1::createTestModel,
max_pool_float_1::is_ignored,
- max_pool_float_1::examples);
+ max_pool_float_1::get_examples());
}
TEST_F(ValidationTest, max_pool_float_1) {
const Model model = max_pool_float_1::createTestModel();
- const std::vector<Request> requests = createRequests(max_pool_float_1::examples);
+ const std::vector<Request> requests = createRequests(max_pool_float_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2336,12 +2336,12 @@
generated_tests::Execute(device,
max_pool_float_2::createTestModel,
max_pool_float_2::is_ignored,
- max_pool_float_2::examples);
+ max_pool_float_2::get_examples());
}
TEST_F(ValidationTest, max_pool_float_2) {
const Model model = max_pool_float_2::createTestModel();
- const std::vector<Request> requests = createRequests(max_pool_float_2::examples);
+ const std::vector<Request> requests = createRequests(max_pool_float_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2359,12 +2359,12 @@
generated_tests::Execute(device,
max_pool_float_3::createTestModel,
max_pool_float_3::is_ignored,
- max_pool_float_3::examples);
+ max_pool_float_3::get_examples());
}
TEST_F(ValidationTest, max_pool_float_3) {
const Model model = max_pool_float_3::createTestModel();
- const std::vector<Request> requests = createRequests(max_pool_float_3::examples);
+ const std::vector<Request> requests = createRequests(max_pool_float_3::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2382,12 +2382,12 @@
generated_tests::Execute(device,
max_pool_float_4::createTestModel,
max_pool_float_4::is_ignored,
- max_pool_float_4::examples);
+ max_pool_float_4::get_examples());
}
TEST_F(ValidationTest, max_pool_float_4) {
const Model model = max_pool_float_4::createTestModel();
- const std::vector<Request> requests = createRequests(max_pool_float_4::examples);
+ const std::vector<Request> requests = createRequests(max_pool_float_4::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2405,12 +2405,12 @@
generated_tests::Execute(device,
max_pool_quant8_1::createTestModel,
max_pool_quant8_1::is_ignored,
- max_pool_quant8_1::examples);
+ max_pool_quant8_1::get_examples());
}
TEST_F(ValidationTest, max_pool_quant8_1) {
const Model model = max_pool_quant8_1::createTestModel();
- const std::vector<Request> requests = createRequests(max_pool_quant8_1::examples);
+ const std::vector<Request> requests = createRequests(max_pool_quant8_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2428,12 +2428,12 @@
generated_tests::Execute(device,
max_pool_quant8_2::createTestModel,
max_pool_quant8_2::is_ignored,
- max_pool_quant8_2::examples);
+ max_pool_quant8_2::get_examples());
}
TEST_F(ValidationTest, max_pool_quant8_2) {
const Model model = max_pool_quant8_2::createTestModel();
- const std::vector<Request> requests = createRequests(max_pool_quant8_2::examples);
+ const std::vector<Request> requests = createRequests(max_pool_quant8_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2451,12 +2451,12 @@
generated_tests::Execute(device,
max_pool_quant8_3::createTestModel,
max_pool_quant8_3::is_ignored,
- max_pool_quant8_3::examples);
+ max_pool_quant8_3::get_examples());
}
TEST_F(ValidationTest, max_pool_quant8_3) {
const Model model = max_pool_quant8_3::createTestModel();
- const std::vector<Request> requests = createRequests(max_pool_quant8_3::examples);
+ const std::vector<Request> requests = createRequests(max_pool_quant8_3::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2474,12 +2474,12 @@
generated_tests::Execute(device,
max_pool_quant8_4::createTestModel,
max_pool_quant8_4::is_ignored,
- max_pool_quant8_4::examples);
+ max_pool_quant8_4::get_examples());
}
TEST_F(ValidationTest, max_pool_quant8_4) {
const Model model = max_pool_quant8_4::createTestModel();
- const std::vector<Request> requests = createRequests(max_pool_quant8_4::examples);
+ const std::vector<Request> requests = createRequests(max_pool_quant8_4::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2497,12 +2497,12 @@
generated_tests::Execute(device,
mobilenet_224_gender_basic_fixed::createTestModel,
mobilenet_224_gender_basic_fixed::is_ignored,
- mobilenet_224_gender_basic_fixed::examples);
+ mobilenet_224_gender_basic_fixed::get_examples());
}
TEST_F(ValidationTest, mobilenet_224_gender_basic_fixed) {
const Model model = mobilenet_224_gender_basic_fixed::createTestModel();
- const std::vector<Request> requests = createRequests(mobilenet_224_gender_basic_fixed::examples);
+ const std::vector<Request> requests = createRequests(mobilenet_224_gender_basic_fixed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2520,12 +2520,12 @@
generated_tests::Execute(device,
mobilenet_quantized::createTestModel,
mobilenet_quantized::is_ignored,
- mobilenet_quantized::examples);
+ mobilenet_quantized::get_examples());
}
TEST_F(ValidationTest, mobilenet_quantized) {
const Model model = mobilenet_quantized::createTestModel();
- const std::vector<Request> requests = createRequests(mobilenet_quantized::examples);
+ const std::vector<Request> requests = createRequests(mobilenet_quantized::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2543,12 +2543,12 @@
generated_tests::Execute(device,
mul::createTestModel,
mul::is_ignored,
- mul::examples);
+ mul::get_examples());
}
TEST_F(ValidationTest, mul) {
const Model model = mul::createTestModel();
- const std::vector<Request> requests = createRequests(mul::examples);
+ const std::vector<Request> requests = createRequests(mul::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2566,12 +2566,12 @@
generated_tests::Execute(device,
mul_broadcast_quant8::createTestModel,
mul_broadcast_quant8::is_ignored,
- mul_broadcast_quant8::examples);
+ mul_broadcast_quant8::get_examples());
}
TEST_F(ValidationTest, mul_broadcast_quant8) {
const Model model = mul_broadcast_quant8::createTestModel();
- const std::vector<Request> requests = createRequests(mul_broadcast_quant8::examples);
+ const std::vector<Request> requests = createRequests(mul_broadcast_quant8::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2589,12 +2589,12 @@
generated_tests::Execute(device,
mul_quant8::createTestModel,
mul_quant8::is_ignored,
- mul_quant8::examples);
+ mul_quant8::get_examples());
}
TEST_F(ValidationTest, mul_quant8) {
const Model model = mul_quant8::createTestModel();
- const std::vector<Request> requests = createRequests(mul_quant8::examples);
+ const std::vector<Request> requests = createRequests(mul_quant8::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2612,12 +2612,12 @@
generated_tests::Execute(device,
mul_relu::createTestModel,
mul_relu::is_ignored,
- mul_relu::examples);
+ mul_relu::get_examples());
}
TEST_F(ValidationTest, mul_relu) {
const Model model = mul_relu::createTestModel();
- const std::vector<Request> requests = createRequests(mul_relu::examples);
+ const std::vector<Request> requests = createRequests(mul_relu::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2635,12 +2635,12 @@
generated_tests::Execute(device,
relu1_float_1::createTestModel,
relu1_float_1::is_ignored,
- relu1_float_1::examples);
+ relu1_float_1::get_examples());
}
TEST_F(ValidationTest, relu1_float_1) {
const Model model = relu1_float_1::createTestModel();
- const std::vector<Request> requests = createRequests(relu1_float_1::examples);
+ const std::vector<Request> requests = createRequests(relu1_float_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2658,12 +2658,12 @@
generated_tests::Execute(device,
relu1_float_2::createTestModel,
relu1_float_2::is_ignored,
- relu1_float_2::examples);
+ relu1_float_2::get_examples());
}
TEST_F(ValidationTest, relu1_float_2) {
const Model model = relu1_float_2::createTestModel();
- const std::vector<Request> requests = createRequests(relu1_float_2::examples);
+ const std::vector<Request> requests = createRequests(relu1_float_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2681,12 +2681,12 @@
generated_tests::Execute(device,
relu1_quant8_1::createTestModel,
relu1_quant8_1::is_ignored,
- relu1_quant8_1::examples);
+ relu1_quant8_1::get_examples());
}
TEST_F(ValidationTest, relu1_quant8_1) {
const Model model = relu1_quant8_1::createTestModel();
- const std::vector<Request> requests = createRequests(relu1_quant8_1::examples);
+ const std::vector<Request> requests = createRequests(relu1_quant8_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2704,12 +2704,12 @@
generated_tests::Execute(device,
relu1_quant8_2::createTestModel,
relu1_quant8_2::is_ignored,
- relu1_quant8_2::examples);
+ relu1_quant8_2::get_examples());
}
TEST_F(ValidationTest, relu1_quant8_2) {
const Model model = relu1_quant8_2::createTestModel();
- const std::vector<Request> requests = createRequests(relu1_quant8_2::examples);
+ const std::vector<Request> requests = createRequests(relu1_quant8_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2727,12 +2727,12 @@
generated_tests::Execute(device,
relu6_float_1::createTestModel,
relu6_float_1::is_ignored,
- relu6_float_1::examples);
+ relu6_float_1::get_examples());
}
TEST_F(ValidationTest, relu6_float_1) {
const Model model = relu6_float_1::createTestModel();
- const std::vector<Request> requests = createRequests(relu6_float_1::examples);
+ const std::vector<Request> requests = createRequests(relu6_float_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2750,12 +2750,12 @@
generated_tests::Execute(device,
relu6_float_2::createTestModel,
relu6_float_2::is_ignored,
- relu6_float_2::examples);
+ relu6_float_2::get_examples());
}
TEST_F(ValidationTest, relu6_float_2) {
const Model model = relu6_float_2::createTestModel();
- const std::vector<Request> requests = createRequests(relu6_float_2::examples);
+ const std::vector<Request> requests = createRequests(relu6_float_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2773,12 +2773,12 @@
generated_tests::Execute(device,
relu6_quant8_1::createTestModel,
relu6_quant8_1::is_ignored,
- relu6_quant8_1::examples);
+ relu6_quant8_1::get_examples());
}
TEST_F(ValidationTest, relu6_quant8_1) {
const Model model = relu6_quant8_1::createTestModel();
- const std::vector<Request> requests = createRequests(relu6_quant8_1::examples);
+ const std::vector<Request> requests = createRequests(relu6_quant8_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2796,12 +2796,12 @@
generated_tests::Execute(device,
relu6_quant8_2::createTestModel,
relu6_quant8_2::is_ignored,
- relu6_quant8_2::examples);
+ relu6_quant8_2::get_examples());
}
TEST_F(ValidationTest, relu6_quant8_2) {
const Model model = relu6_quant8_2::createTestModel();
- const std::vector<Request> requests = createRequests(relu6_quant8_2::examples);
+ const std::vector<Request> requests = createRequests(relu6_quant8_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2819,12 +2819,12 @@
generated_tests::Execute(device,
relu_float_1::createTestModel,
relu_float_1::is_ignored,
- relu_float_1::examples);
+ relu_float_1::get_examples());
}
TEST_F(ValidationTest, relu_float_1) {
const Model model = relu_float_1::createTestModel();
- const std::vector<Request> requests = createRequests(relu_float_1::examples);
+ const std::vector<Request> requests = createRequests(relu_float_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2842,12 +2842,12 @@
generated_tests::Execute(device,
relu_float_2::createTestModel,
relu_float_2::is_ignored,
- relu_float_2::examples);
+ relu_float_2::get_examples());
}
TEST_F(ValidationTest, relu_float_2) {
const Model model = relu_float_2::createTestModel();
- const std::vector<Request> requests = createRequests(relu_float_2::examples);
+ const std::vector<Request> requests = createRequests(relu_float_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2865,12 +2865,12 @@
generated_tests::Execute(device,
relu_quant8_1::createTestModel,
relu_quant8_1::is_ignored,
- relu_quant8_1::examples);
+ relu_quant8_1::get_examples());
}
TEST_F(ValidationTest, relu_quant8_1) {
const Model model = relu_quant8_1::createTestModel();
- const std::vector<Request> requests = createRequests(relu_quant8_1::examples);
+ const std::vector<Request> requests = createRequests(relu_quant8_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2888,12 +2888,12 @@
generated_tests::Execute(device,
relu_quant8_2::createTestModel,
relu_quant8_2::is_ignored,
- relu_quant8_2::examples);
+ relu_quant8_2::get_examples());
}
TEST_F(ValidationTest, relu_quant8_2) {
const Model model = relu_quant8_2::createTestModel();
- const std::vector<Request> requests = createRequests(relu_quant8_2::examples);
+ const std::vector<Request> requests = createRequests(relu_quant8_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2911,12 +2911,12 @@
generated_tests::Execute(device,
reshape::createTestModel,
reshape::is_ignored,
- reshape::examples);
+ reshape::get_examples());
}
TEST_F(ValidationTest, reshape) {
const Model model = reshape::createTestModel();
- const std::vector<Request> requests = createRequests(reshape::examples);
+ const std::vector<Request> requests = createRequests(reshape::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2934,12 +2934,12 @@
generated_tests::Execute(device,
reshape_quant8::createTestModel,
reshape_quant8::is_ignored,
- reshape_quant8::examples);
+ reshape_quant8::get_examples());
}
TEST_F(ValidationTest, reshape_quant8) {
const Model model = reshape_quant8::createTestModel();
- const std::vector<Request> requests = createRequests(reshape_quant8::examples);
+ const std::vector<Request> requests = createRequests(reshape_quant8::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2957,12 +2957,12 @@
generated_tests::Execute(device,
reshape_quant8_weights_as_inputs::createTestModel,
reshape_quant8_weights_as_inputs::is_ignored,
- reshape_quant8_weights_as_inputs::examples);
+ reshape_quant8_weights_as_inputs::get_examples());
}
TEST_F(ValidationTest, reshape_quant8_weights_as_inputs) {
const Model model = reshape_quant8_weights_as_inputs::createTestModel();
- const std::vector<Request> requests = createRequests(reshape_quant8_weights_as_inputs::examples);
+ const std::vector<Request> requests = createRequests(reshape_quant8_weights_as_inputs::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2980,12 +2980,12 @@
generated_tests::Execute(device,
reshape_weights_as_inputs::createTestModel,
reshape_weights_as_inputs::is_ignored,
- reshape_weights_as_inputs::examples);
+ reshape_weights_as_inputs::get_examples());
}
TEST_F(ValidationTest, reshape_weights_as_inputs) {
const Model model = reshape_weights_as_inputs::createTestModel();
- const std::vector<Request> requests = createRequests(reshape_weights_as_inputs::examples);
+ const std::vector<Request> requests = createRequests(reshape_weights_as_inputs::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3003,12 +3003,12 @@
generated_tests::Execute(device,
resize_bilinear::createTestModel,
resize_bilinear::is_ignored,
- resize_bilinear::examples);
+ resize_bilinear::get_examples());
}
TEST_F(ValidationTest, resize_bilinear) {
const Model model = resize_bilinear::createTestModel();
- const std::vector<Request> requests = createRequests(resize_bilinear::examples);
+ const std::vector<Request> requests = createRequests(resize_bilinear::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3026,12 +3026,12 @@
generated_tests::Execute(device,
resize_bilinear_2::createTestModel,
resize_bilinear_2::is_ignored,
- resize_bilinear_2::examples);
+ resize_bilinear_2::get_examples());
}
TEST_F(ValidationTest, resize_bilinear_2) {
const Model model = resize_bilinear_2::createTestModel();
- const std::vector<Request> requests = createRequests(resize_bilinear_2::examples);
+ const std::vector<Request> requests = createRequests(resize_bilinear_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3049,12 +3049,12 @@
generated_tests::Execute(device,
rnn::createTestModel,
rnn::is_ignored,
- rnn::examples);
+ rnn::get_examples());
}
TEST_F(ValidationTest, rnn) {
const Model model = rnn::createTestModel();
- const std::vector<Request> requests = createRequests(rnn::examples);
+ const std::vector<Request> requests = createRequests(rnn::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3072,12 +3072,12 @@
generated_tests::Execute(device,
rnn_state::createTestModel,
rnn_state::is_ignored,
- rnn_state::examples);
+ rnn_state::get_examples());
}
TEST_F(ValidationTest, rnn_state) {
const Model model = rnn_state::createTestModel();
- const std::vector<Request> requests = createRequests(rnn_state::examples);
+ const std::vector<Request> requests = createRequests(rnn_state::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3095,12 +3095,12 @@
generated_tests::Execute(device,
softmax_float_1::createTestModel,
softmax_float_1::is_ignored,
- softmax_float_1::examples);
+ softmax_float_1::get_examples());
}
TEST_F(ValidationTest, softmax_float_1) {
const Model model = softmax_float_1::createTestModel();
- const std::vector<Request> requests = createRequests(softmax_float_1::examples);
+ const std::vector<Request> requests = createRequests(softmax_float_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3118,12 +3118,12 @@
generated_tests::Execute(device,
softmax_float_2::createTestModel,
softmax_float_2::is_ignored,
- softmax_float_2::examples);
+ softmax_float_2::get_examples());
}
TEST_F(ValidationTest, softmax_float_2) {
const Model model = softmax_float_2::createTestModel();
- const std::vector<Request> requests = createRequests(softmax_float_2::examples);
+ const std::vector<Request> requests = createRequests(softmax_float_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3141,12 +3141,12 @@
generated_tests::Execute(device,
softmax_quant8_1::createTestModel,
softmax_quant8_1::is_ignored,
- softmax_quant8_1::examples);
+ softmax_quant8_1::get_examples());
}
TEST_F(ValidationTest, softmax_quant8_1) {
const Model model = softmax_quant8_1::createTestModel();
- const std::vector<Request> requests = createRequests(softmax_quant8_1::examples);
+ const std::vector<Request> requests = createRequests(softmax_quant8_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3164,12 +3164,12 @@
generated_tests::Execute(device,
softmax_quant8_2::createTestModel,
softmax_quant8_2::is_ignored,
- softmax_quant8_2::examples);
+ softmax_quant8_2::get_examples());
}
TEST_F(ValidationTest, softmax_quant8_2) {
const Model model = softmax_quant8_2::createTestModel();
- const std::vector<Request> requests = createRequests(softmax_quant8_2::examples);
+ const std::vector<Request> requests = createRequests(softmax_quant8_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3187,12 +3187,12 @@
generated_tests::Execute(device,
space_to_depth_float_1::createTestModel,
space_to_depth_float_1::is_ignored,
- space_to_depth_float_1::examples);
+ space_to_depth_float_1::get_examples());
}
TEST_F(ValidationTest, space_to_depth_float_1) {
const Model model = space_to_depth_float_1::createTestModel();
- const std::vector<Request> requests = createRequests(space_to_depth_float_1::examples);
+ const std::vector<Request> requests = createRequests(space_to_depth_float_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3210,12 +3210,12 @@
generated_tests::Execute(device,
space_to_depth_float_2::createTestModel,
space_to_depth_float_2::is_ignored,
- space_to_depth_float_2::examples);
+ space_to_depth_float_2::get_examples());
}
TEST_F(ValidationTest, space_to_depth_float_2) {
const Model model = space_to_depth_float_2::createTestModel();
- const std::vector<Request> requests = createRequests(space_to_depth_float_2::examples);
+ const std::vector<Request> requests = createRequests(space_to_depth_float_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3233,12 +3233,12 @@
generated_tests::Execute(device,
space_to_depth_float_3::createTestModel,
space_to_depth_float_3::is_ignored,
- space_to_depth_float_3::examples);
+ space_to_depth_float_3::get_examples());
}
TEST_F(ValidationTest, space_to_depth_float_3) {
const Model model = space_to_depth_float_3::createTestModel();
- const std::vector<Request> requests = createRequests(space_to_depth_float_3::examples);
+ const std::vector<Request> requests = createRequests(space_to_depth_float_3::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3256,12 +3256,12 @@
generated_tests::Execute(device,
space_to_depth_quant8_1::createTestModel,
space_to_depth_quant8_1::is_ignored,
- space_to_depth_quant8_1::examples);
+ space_to_depth_quant8_1::get_examples());
}
TEST_F(ValidationTest, space_to_depth_quant8_1) {
const Model model = space_to_depth_quant8_1::createTestModel();
- const std::vector<Request> requests = createRequests(space_to_depth_quant8_1::examples);
+ const std::vector<Request> requests = createRequests(space_to_depth_quant8_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3279,12 +3279,12 @@
generated_tests::Execute(device,
space_to_depth_quant8_2::createTestModel,
space_to_depth_quant8_2::is_ignored,
- space_to_depth_quant8_2::examples);
+ space_to_depth_quant8_2::get_examples());
}
TEST_F(ValidationTest, space_to_depth_quant8_2) {
const Model model = space_to_depth_quant8_2::createTestModel();
- const std::vector<Request> requests = createRequests(space_to_depth_quant8_2::examples);
+ const std::vector<Request> requests = createRequests(space_to_depth_quant8_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3302,12 +3302,12 @@
generated_tests::Execute(device,
svdf::createTestModel,
svdf::is_ignored,
- svdf::examples);
+ svdf::get_examples());
}
TEST_F(ValidationTest, svdf) {
const Model model = svdf::createTestModel();
- const std::vector<Request> requests = createRequests(svdf::examples);
+ const std::vector<Request> requests = createRequests(svdf::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3325,12 +3325,12 @@
generated_tests::Execute(device,
svdf2::createTestModel,
svdf2::is_ignored,
- svdf2::examples);
+ svdf2::get_examples());
}
TEST_F(ValidationTest, svdf2) {
const Model model = svdf2::createTestModel();
- const std::vector<Request> requests = createRequests(svdf2::examples);
+ const std::vector<Request> requests = createRequests(svdf2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3348,12 +3348,12 @@
generated_tests::Execute(device,
svdf_state::createTestModel,
svdf_state::is_ignored,
- svdf_state::examples);
+ svdf_state::get_examples());
}
TEST_F(ValidationTest, svdf_state) {
const Model model = svdf_state::createTestModel();
- const std::vector<Request> requests = createRequests(svdf_state::examples);
+ const std::vector<Request> requests = createRequests(svdf_state::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3371,12 +3371,12 @@
generated_tests::Execute(device,
tanh::createTestModel,
tanh::is_ignored,
- tanh::examples);
+ tanh::get_examples());
}
TEST_F(ValidationTest, tanh) {
const Model model = tanh::createTestModel();
- const std::vector<Request> requests = createRequests(tanh::examples);
+ const std::vector<Request> requests = createRequests(tanh::get_examples());
validateModel(model);
validateRequests(model, requests);
}
diff --git a/nn/runtime/test/generated/all_generated_V1_1_vts_tests.cpp b/nn/runtime/test/generated/all_generated_V1_1_vts_tests.cpp
index df3c673..1a7deaf 100644
--- a/nn/runtime/test/generated/all_generated_V1_1_vts_tests.cpp
+++ b/nn/runtime/test/generated/all_generated_V1_1_vts_tests.cpp
@@ -13,12 +13,12 @@
generated_tests::Execute(device,
add_relaxed::createTestModel,
add_relaxed::is_ignored,
- add_relaxed::examples);
+ add_relaxed::get_examples());
}
TEST_F(ValidationTest, add_relaxed) {
const Model model = add_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(add_relaxed::examples);
+ const std::vector<Request> requests = createRequests(add_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -36,12 +36,12 @@
generated_tests::Execute(device,
avg_pool_float_1_relaxed::createTestModel,
avg_pool_float_1_relaxed::is_ignored,
- avg_pool_float_1_relaxed::examples);
+ avg_pool_float_1_relaxed::get_examples());
}
TEST_F(ValidationTest, avg_pool_float_1_relaxed) {
const Model model = avg_pool_float_1_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(avg_pool_float_1_relaxed::examples);
+ const std::vector<Request> requests = createRequests(avg_pool_float_1_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -59,12 +59,12 @@
generated_tests::Execute(device,
avg_pool_float_2_relaxed::createTestModel,
avg_pool_float_2_relaxed::is_ignored,
- avg_pool_float_2_relaxed::examples);
+ avg_pool_float_2_relaxed::get_examples());
}
TEST_F(ValidationTest, avg_pool_float_2_relaxed) {
const Model model = avg_pool_float_2_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(avg_pool_float_2_relaxed::examples);
+ const std::vector<Request> requests = createRequests(avg_pool_float_2_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -82,12 +82,12 @@
generated_tests::Execute(device,
avg_pool_float_3_relaxed::createTestModel,
avg_pool_float_3_relaxed::is_ignored,
- avg_pool_float_3_relaxed::examples);
+ avg_pool_float_3_relaxed::get_examples());
}
TEST_F(ValidationTest, avg_pool_float_3_relaxed) {
const Model model = avg_pool_float_3_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(avg_pool_float_3_relaxed::examples);
+ const std::vector<Request> requests = createRequests(avg_pool_float_3_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -105,12 +105,12 @@
generated_tests::Execute(device,
avg_pool_float_4_relaxed::createTestModel,
avg_pool_float_4_relaxed::is_ignored,
- avg_pool_float_4_relaxed::examples);
+ avg_pool_float_4_relaxed::get_examples());
}
TEST_F(ValidationTest, avg_pool_float_4_relaxed) {
const Model model = avg_pool_float_4_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(avg_pool_float_4_relaxed::examples);
+ const std::vector<Request> requests = createRequests(avg_pool_float_4_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -128,12 +128,12 @@
generated_tests::Execute(device,
avg_pool_float_5_relaxed::createTestModel,
avg_pool_float_5_relaxed::is_ignored,
- avg_pool_float_5_relaxed::examples);
+ avg_pool_float_5_relaxed::get_examples());
}
TEST_F(ValidationTest, avg_pool_float_5_relaxed) {
const Model model = avg_pool_float_5_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(avg_pool_float_5_relaxed::examples);
+ const std::vector<Request> requests = createRequests(avg_pool_float_5_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -151,12 +151,12 @@
generated_tests::Execute(device,
batch_to_space::createTestModel,
batch_to_space::is_ignored,
- batch_to_space::examples);
+ batch_to_space::get_examples());
}
TEST_F(ValidationTest, batch_to_space) {
const Model model = batch_to_space::createTestModel();
- const std::vector<Request> requests = createRequests(batch_to_space::examples);
+ const std::vector<Request> requests = createRequests(batch_to_space::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -174,12 +174,12 @@
generated_tests::Execute(device,
batch_to_space_float_1::createTestModel,
batch_to_space_float_1::is_ignored,
- batch_to_space_float_1::examples);
+ batch_to_space_float_1::get_examples());
}
TEST_F(ValidationTest, batch_to_space_float_1) {
const Model model = batch_to_space_float_1::createTestModel();
- const std::vector<Request> requests = createRequests(batch_to_space_float_1::examples);
+ const std::vector<Request> requests = createRequests(batch_to_space_float_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -197,12 +197,12 @@
generated_tests::Execute(device,
batch_to_space_float_1_relaxed::createTestModel,
batch_to_space_float_1_relaxed::is_ignored,
- batch_to_space_float_1_relaxed::examples);
+ batch_to_space_float_1_relaxed::get_examples());
}
TEST_F(ValidationTest, batch_to_space_float_1_relaxed) {
const Model model = batch_to_space_float_1_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(batch_to_space_float_1_relaxed::examples);
+ const std::vector<Request> requests = createRequests(batch_to_space_float_1_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -220,12 +220,12 @@
generated_tests::Execute(device,
batch_to_space_quant8_1::createTestModel,
batch_to_space_quant8_1::is_ignored,
- batch_to_space_quant8_1::examples);
+ batch_to_space_quant8_1::get_examples());
}
TEST_F(ValidationTest, batch_to_space_quant8_1) {
const Model model = batch_to_space_quant8_1::createTestModel();
- const std::vector<Request> requests = createRequests(batch_to_space_quant8_1::examples);
+ const std::vector<Request> requests = createRequests(batch_to_space_quant8_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -243,12 +243,12 @@
generated_tests::Execute(device,
batch_to_space_relaxed::createTestModel,
batch_to_space_relaxed::is_ignored,
- batch_to_space_relaxed::examples);
+ batch_to_space_relaxed::get_examples());
}
TEST_F(ValidationTest, batch_to_space_relaxed) {
const Model model = batch_to_space_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(batch_to_space_relaxed::examples);
+ const std::vector<Request> requests = createRequests(batch_to_space_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -266,12 +266,12 @@
generated_tests::Execute(device,
concat_float_1_relaxed::createTestModel,
concat_float_1_relaxed::is_ignored,
- concat_float_1_relaxed::examples);
+ concat_float_1_relaxed::get_examples());
}
TEST_F(ValidationTest, concat_float_1_relaxed) {
const Model model = concat_float_1_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(concat_float_1_relaxed::examples);
+ const std::vector<Request> requests = createRequests(concat_float_1_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -289,12 +289,12 @@
generated_tests::Execute(device,
concat_float_2_relaxed::createTestModel,
concat_float_2_relaxed::is_ignored,
- concat_float_2_relaxed::examples);
+ concat_float_2_relaxed::get_examples());
}
TEST_F(ValidationTest, concat_float_2_relaxed) {
const Model model = concat_float_2_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(concat_float_2_relaxed::examples);
+ const std::vector<Request> requests = createRequests(concat_float_2_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -312,12 +312,12 @@
generated_tests::Execute(device,
concat_float_3_relaxed::createTestModel,
concat_float_3_relaxed::is_ignored,
- concat_float_3_relaxed::examples);
+ concat_float_3_relaxed::get_examples());
}
TEST_F(ValidationTest, concat_float_3_relaxed) {
const Model model = concat_float_3_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(concat_float_3_relaxed::examples);
+ const std::vector<Request> requests = createRequests(concat_float_3_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -335,12 +335,12 @@
generated_tests::Execute(device,
conv_1_h3_w2_SAME_relaxed::createTestModel,
conv_1_h3_w2_SAME_relaxed::is_ignored,
- conv_1_h3_w2_SAME_relaxed::examples);
+ conv_1_h3_w2_SAME_relaxed::get_examples());
}
TEST_F(ValidationTest, conv_1_h3_w2_SAME_relaxed) {
const Model model = conv_1_h3_w2_SAME_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(conv_1_h3_w2_SAME_relaxed::examples);
+ const std::vector<Request> requests = createRequests(conv_1_h3_w2_SAME_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -358,12 +358,12 @@
generated_tests::Execute(device,
conv_1_h3_w2_VALID_relaxed::createTestModel,
conv_1_h3_w2_VALID_relaxed::is_ignored,
- conv_1_h3_w2_VALID_relaxed::examples);
+ conv_1_h3_w2_VALID_relaxed::get_examples());
}
TEST_F(ValidationTest, conv_1_h3_w2_VALID_relaxed) {
const Model model = conv_1_h3_w2_VALID_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(conv_1_h3_w2_VALID_relaxed::examples);
+ const std::vector<Request> requests = createRequests(conv_1_h3_w2_VALID_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -381,12 +381,12 @@
generated_tests::Execute(device,
conv_3_h3_w2_SAME_relaxed::createTestModel,
conv_3_h3_w2_SAME_relaxed::is_ignored,
- conv_3_h3_w2_SAME_relaxed::examples);
+ conv_3_h3_w2_SAME_relaxed::get_examples());
}
TEST_F(ValidationTest, conv_3_h3_w2_SAME_relaxed) {
const Model model = conv_3_h3_w2_SAME_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(conv_3_h3_w2_SAME_relaxed::examples);
+ const std::vector<Request> requests = createRequests(conv_3_h3_w2_SAME_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -404,12 +404,12 @@
generated_tests::Execute(device,
conv_3_h3_w2_VALID_relaxed::createTestModel,
conv_3_h3_w2_VALID_relaxed::is_ignored,
- conv_3_h3_w2_VALID_relaxed::examples);
+ conv_3_h3_w2_VALID_relaxed::get_examples());
}
TEST_F(ValidationTest, conv_3_h3_w2_VALID_relaxed) {
const Model model = conv_3_h3_w2_VALID_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(conv_3_h3_w2_VALID_relaxed::examples);
+ const std::vector<Request> requests = createRequests(conv_3_h3_w2_VALID_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -427,12 +427,12 @@
generated_tests::Execute(device,
conv_float_2_relaxed::createTestModel,
conv_float_2_relaxed::is_ignored,
- conv_float_2_relaxed::examples);
+ conv_float_2_relaxed::get_examples());
}
TEST_F(ValidationTest, conv_float_2_relaxed) {
const Model model = conv_float_2_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(conv_float_2_relaxed::examples);
+ const std::vector<Request> requests = createRequests(conv_float_2_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -450,12 +450,12 @@
generated_tests::Execute(device,
conv_float_channels_relaxed::createTestModel,
conv_float_channels_relaxed::is_ignored,
- conv_float_channels_relaxed::examples);
+ conv_float_channels_relaxed::get_examples());
}
TEST_F(ValidationTest, conv_float_channels_relaxed) {
const Model model = conv_float_channels_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(conv_float_channels_relaxed::examples);
+ const std::vector<Request> requests = createRequests(conv_float_channels_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -473,12 +473,12 @@
generated_tests::Execute(device,
conv_float_channels_weights_as_inputs_relaxed::createTestModel,
conv_float_channels_weights_as_inputs_relaxed::is_ignored,
- conv_float_channels_weights_as_inputs_relaxed::examples);
+ conv_float_channels_weights_as_inputs_relaxed::get_examples());
}
TEST_F(ValidationTest, conv_float_channels_weights_as_inputs_relaxed) {
const Model model = conv_float_channels_weights_as_inputs_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(conv_float_channels_weights_as_inputs_relaxed::examples);
+ const std::vector<Request> requests = createRequests(conv_float_channels_weights_as_inputs_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -496,12 +496,12 @@
generated_tests::Execute(device,
conv_float_large_relaxed::createTestModel,
conv_float_large_relaxed::is_ignored,
- conv_float_large_relaxed::examples);
+ conv_float_large_relaxed::get_examples());
}
TEST_F(ValidationTest, conv_float_large_relaxed) {
const Model model = conv_float_large_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(conv_float_large_relaxed::examples);
+ const std::vector<Request> requests = createRequests(conv_float_large_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -519,12 +519,12 @@
generated_tests::Execute(device,
conv_float_large_weights_as_inputs_relaxed::createTestModel,
conv_float_large_weights_as_inputs_relaxed::is_ignored,
- conv_float_large_weights_as_inputs_relaxed::examples);
+ conv_float_large_weights_as_inputs_relaxed::get_examples());
}
TEST_F(ValidationTest, conv_float_large_weights_as_inputs_relaxed) {
const Model model = conv_float_large_weights_as_inputs_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(conv_float_large_weights_as_inputs_relaxed::examples);
+ const std::vector<Request> requests = createRequests(conv_float_large_weights_as_inputs_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -542,12 +542,12 @@
generated_tests::Execute(device,
conv_float_relaxed::createTestModel,
conv_float_relaxed::is_ignored,
- conv_float_relaxed::examples);
+ conv_float_relaxed::get_examples());
}
TEST_F(ValidationTest, conv_float_relaxed) {
const Model model = conv_float_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(conv_float_relaxed::examples);
+ const std::vector<Request> requests = createRequests(conv_float_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -565,12 +565,12 @@
generated_tests::Execute(device,
conv_float_weights_as_inputs_relaxed::createTestModel,
conv_float_weights_as_inputs_relaxed::is_ignored,
- conv_float_weights_as_inputs_relaxed::examples);
+ conv_float_weights_as_inputs_relaxed::get_examples());
}
TEST_F(ValidationTest, conv_float_weights_as_inputs_relaxed) {
const Model model = conv_float_weights_as_inputs_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(conv_float_weights_as_inputs_relaxed::examples);
+ const std::vector<Request> requests = createRequests(conv_float_weights_as_inputs_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -588,12 +588,12 @@
generated_tests::Execute(device,
depth_to_space_float_1_relaxed::createTestModel,
depth_to_space_float_1_relaxed::is_ignored,
- depth_to_space_float_1_relaxed::examples);
+ depth_to_space_float_1_relaxed::get_examples());
}
TEST_F(ValidationTest, depth_to_space_float_1_relaxed) {
const Model model = depth_to_space_float_1_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(depth_to_space_float_1_relaxed::examples);
+ const std::vector<Request> requests = createRequests(depth_to_space_float_1_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -611,12 +611,12 @@
generated_tests::Execute(device,
depth_to_space_float_2_relaxed::createTestModel,
depth_to_space_float_2_relaxed::is_ignored,
- depth_to_space_float_2_relaxed::examples);
+ depth_to_space_float_2_relaxed::get_examples());
}
TEST_F(ValidationTest, depth_to_space_float_2_relaxed) {
const Model model = depth_to_space_float_2_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(depth_to_space_float_2_relaxed::examples);
+ const std::vector<Request> requests = createRequests(depth_to_space_float_2_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -634,12 +634,12 @@
generated_tests::Execute(device,
depth_to_space_float_3_relaxed::createTestModel,
depth_to_space_float_3_relaxed::is_ignored,
- depth_to_space_float_3_relaxed::examples);
+ depth_to_space_float_3_relaxed::get_examples());
}
TEST_F(ValidationTest, depth_to_space_float_3_relaxed) {
const Model model = depth_to_space_float_3_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(depth_to_space_float_3_relaxed::examples);
+ const std::vector<Request> requests = createRequests(depth_to_space_float_3_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -657,12 +657,12 @@
generated_tests::Execute(device,
depthwise_conv2d_float_2_relaxed::createTestModel,
depthwise_conv2d_float_2_relaxed::is_ignored,
- depthwise_conv2d_float_2_relaxed::examples);
+ depthwise_conv2d_float_2_relaxed::get_examples());
}
TEST_F(ValidationTest, depthwise_conv2d_float_2_relaxed) {
const Model model = depthwise_conv2d_float_2_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_float_2_relaxed::examples);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_float_2_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -680,12 +680,12 @@
generated_tests::Execute(device,
depthwise_conv2d_float_large_2_relaxed::createTestModel,
depthwise_conv2d_float_large_2_relaxed::is_ignored,
- depthwise_conv2d_float_large_2_relaxed::examples);
+ depthwise_conv2d_float_large_2_relaxed::get_examples());
}
TEST_F(ValidationTest, depthwise_conv2d_float_large_2_relaxed) {
const Model model = depthwise_conv2d_float_large_2_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_float_large_2_relaxed::examples);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_float_large_2_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -703,12 +703,12 @@
generated_tests::Execute(device,
depthwise_conv2d_float_large_2_weights_as_inputs_relaxed::createTestModel,
depthwise_conv2d_float_large_2_weights_as_inputs_relaxed::is_ignored,
- depthwise_conv2d_float_large_2_weights_as_inputs_relaxed::examples);
+ depthwise_conv2d_float_large_2_weights_as_inputs_relaxed::get_examples());
}
TEST_F(ValidationTest, depthwise_conv2d_float_large_2_weights_as_inputs_relaxed) {
const Model model = depthwise_conv2d_float_large_2_weights_as_inputs_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_float_large_2_weights_as_inputs_relaxed::examples);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_float_large_2_weights_as_inputs_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -726,12 +726,12 @@
generated_tests::Execute(device,
depthwise_conv2d_float_large_relaxed::createTestModel,
depthwise_conv2d_float_large_relaxed::is_ignored,
- depthwise_conv2d_float_large_relaxed::examples);
+ depthwise_conv2d_float_large_relaxed::get_examples());
}
TEST_F(ValidationTest, depthwise_conv2d_float_large_relaxed) {
const Model model = depthwise_conv2d_float_large_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_float_large_relaxed::examples);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_float_large_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -749,12 +749,12 @@
generated_tests::Execute(device,
depthwise_conv2d_float_large_weights_as_inputs_relaxed::createTestModel,
depthwise_conv2d_float_large_weights_as_inputs_relaxed::is_ignored,
- depthwise_conv2d_float_large_weights_as_inputs_relaxed::examples);
+ depthwise_conv2d_float_large_weights_as_inputs_relaxed::get_examples());
}
TEST_F(ValidationTest, depthwise_conv2d_float_large_weights_as_inputs_relaxed) {
const Model model = depthwise_conv2d_float_large_weights_as_inputs_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_float_large_weights_as_inputs_relaxed::examples);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_float_large_weights_as_inputs_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -772,12 +772,12 @@
generated_tests::Execute(device,
depthwise_conv2d_float_relaxed::createTestModel,
depthwise_conv2d_float_relaxed::is_ignored,
- depthwise_conv2d_float_relaxed::examples);
+ depthwise_conv2d_float_relaxed::get_examples());
}
TEST_F(ValidationTest, depthwise_conv2d_float_relaxed) {
const Model model = depthwise_conv2d_float_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_float_relaxed::examples);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_float_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -795,12 +795,12 @@
generated_tests::Execute(device,
depthwise_conv2d_float_weights_as_inputs_relaxed::createTestModel,
depthwise_conv2d_float_weights_as_inputs_relaxed::is_ignored,
- depthwise_conv2d_float_weights_as_inputs_relaxed::examples);
+ depthwise_conv2d_float_weights_as_inputs_relaxed::get_examples());
}
TEST_F(ValidationTest, depthwise_conv2d_float_weights_as_inputs_relaxed) {
const Model model = depthwise_conv2d_float_weights_as_inputs_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_float_weights_as_inputs_relaxed::examples);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_float_weights_as_inputs_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -818,12 +818,12 @@
generated_tests::Execute(device,
depthwise_conv_relaxed::createTestModel,
depthwise_conv_relaxed::is_ignored,
- depthwise_conv_relaxed::examples);
+ depthwise_conv_relaxed::get_examples());
}
TEST_F(ValidationTest, depthwise_conv_relaxed) {
const Model model = depthwise_conv_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(depthwise_conv_relaxed::examples);
+ const std::vector<Request> requests = createRequests(depthwise_conv_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -841,12 +841,12 @@
generated_tests::Execute(device,
dequantize_relaxed::createTestModel,
dequantize_relaxed::is_ignored,
- dequantize_relaxed::examples);
+ dequantize_relaxed::get_examples());
}
TEST_F(ValidationTest, dequantize_relaxed) {
const Model model = dequantize_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(dequantize_relaxed::examples);
+ const std::vector<Request> requests = createRequests(dequantize_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -864,12 +864,12 @@
generated_tests::Execute(device,
div::createTestModel,
div::is_ignored,
- div::examples);
+ div::get_examples());
}
TEST_F(ValidationTest, div) {
const Model model = div::createTestModel();
- const std::vector<Request> requests = createRequests(div::examples);
+ const std::vector<Request> requests = createRequests(div::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -887,12 +887,12 @@
generated_tests::Execute(device,
div_broadcast_float::createTestModel,
div_broadcast_float::is_ignored,
- div_broadcast_float::examples);
+ div_broadcast_float::get_examples());
}
TEST_F(ValidationTest, div_broadcast_float) {
const Model model = div_broadcast_float::createTestModel();
- const std::vector<Request> requests = createRequests(div_broadcast_float::examples);
+ const std::vector<Request> requests = createRequests(div_broadcast_float::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -910,12 +910,12 @@
generated_tests::Execute(device,
div_broadcast_float_relaxed::createTestModel,
div_broadcast_float_relaxed::is_ignored,
- div_broadcast_float_relaxed::examples);
+ div_broadcast_float_relaxed::get_examples());
}
TEST_F(ValidationTest, div_broadcast_float_relaxed) {
const Model model = div_broadcast_float_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(div_broadcast_float_relaxed::examples);
+ const std::vector<Request> requests = createRequests(div_broadcast_float_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -933,12 +933,12 @@
generated_tests::Execute(device,
div_relaxed::createTestModel,
div_relaxed::is_ignored,
- div_relaxed::examples);
+ div_relaxed::get_examples());
}
TEST_F(ValidationTest, div_relaxed) {
const Model model = div_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(div_relaxed::examples);
+ const std::vector<Request> requests = createRequests(div_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -956,12 +956,12 @@
generated_tests::Execute(device,
embedding_lookup_relaxed::createTestModel,
embedding_lookup_relaxed::is_ignored,
- embedding_lookup_relaxed::examples);
+ embedding_lookup_relaxed::get_examples());
}
TEST_F(ValidationTest, embedding_lookup_relaxed) {
const Model model = embedding_lookup_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(embedding_lookup_relaxed::examples);
+ const std::vector<Request> requests = createRequests(embedding_lookup_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -979,12 +979,12 @@
generated_tests::Execute(device,
floor_relaxed::createTestModel,
floor_relaxed::is_ignored,
- floor_relaxed::examples);
+ floor_relaxed::get_examples());
}
TEST_F(ValidationTest, floor_relaxed) {
const Model model = floor_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(floor_relaxed::examples);
+ const std::vector<Request> requests = createRequests(floor_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1002,12 +1002,12 @@
generated_tests::Execute(device,
fully_connected_float_2_relaxed::createTestModel,
fully_connected_float_2_relaxed::is_ignored,
- fully_connected_float_2_relaxed::examples);
+ fully_connected_float_2_relaxed::get_examples());
}
TEST_F(ValidationTest, fully_connected_float_2_relaxed) {
const Model model = fully_connected_float_2_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(fully_connected_float_2_relaxed::examples);
+ const std::vector<Request> requests = createRequests(fully_connected_float_2_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1025,12 +1025,12 @@
generated_tests::Execute(device,
fully_connected_float_4d_simple::createTestModel,
fully_connected_float_4d_simple::is_ignored,
- fully_connected_float_4d_simple::examples);
+ fully_connected_float_4d_simple::get_examples());
}
TEST_F(ValidationTest, fully_connected_float_4d_simple) {
const Model model = fully_connected_float_4d_simple::createTestModel();
- const std::vector<Request> requests = createRequests(fully_connected_float_4d_simple::examples);
+ const std::vector<Request> requests = createRequests(fully_connected_float_4d_simple::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1048,12 +1048,12 @@
generated_tests::Execute(device,
fully_connected_float_4d_simple_relaxed::createTestModel,
fully_connected_float_4d_simple_relaxed::is_ignored,
- fully_connected_float_4d_simple_relaxed::examples);
+ fully_connected_float_4d_simple_relaxed::get_examples());
}
TEST_F(ValidationTest, fully_connected_float_4d_simple_relaxed) {
const Model model = fully_connected_float_4d_simple_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(fully_connected_float_4d_simple_relaxed::examples);
+ const std::vector<Request> requests = createRequests(fully_connected_float_4d_simple_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1071,12 +1071,12 @@
generated_tests::Execute(device,
fully_connected_float_large_relaxed::createTestModel,
fully_connected_float_large_relaxed::is_ignored,
- fully_connected_float_large_relaxed::examples);
+ fully_connected_float_large_relaxed::get_examples());
}
TEST_F(ValidationTest, fully_connected_float_large_relaxed) {
const Model model = fully_connected_float_large_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(fully_connected_float_large_relaxed::examples);
+ const std::vector<Request> requests = createRequests(fully_connected_float_large_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1094,12 +1094,12 @@
generated_tests::Execute(device,
fully_connected_float_large_weights_as_inputs_relaxed::createTestModel,
fully_connected_float_large_weights_as_inputs_relaxed::is_ignored,
- fully_connected_float_large_weights_as_inputs_relaxed::examples);
+ fully_connected_float_large_weights_as_inputs_relaxed::get_examples());
}
TEST_F(ValidationTest, fully_connected_float_large_weights_as_inputs_relaxed) {
const Model model = fully_connected_float_large_weights_as_inputs_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(fully_connected_float_large_weights_as_inputs_relaxed::examples);
+ const std::vector<Request> requests = createRequests(fully_connected_float_large_weights_as_inputs_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1117,12 +1117,12 @@
generated_tests::Execute(device,
fully_connected_float_relaxed::createTestModel,
fully_connected_float_relaxed::is_ignored,
- fully_connected_float_relaxed::examples);
+ fully_connected_float_relaxed::get_examples());
}
TEST_F(ValidationTest, fully_connected_float_relaxed) {
const Model model = fully_connected_float_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(fully_connected_float_relaxed::examples);
+ const std::vector<Request> requests = createRequests(fully_connected_float_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1140,12 +1140,12 @@
generated_tests::Execute(device,
fully_connected_float_weights_as_inputs_relaxed::createTestModel,
fully_connected_float_weights_as_inputs_relaxed::is_ignored,
- fully_connected_float_weights_as_inputs_relaxed::examples);
+ fully_connected_float_weights_as_inputs_relaxed::get_examples());
}
TEST_F(ValidationTest, fully_connected_float_weights_as_inputs_relaxed) {
const Model model = fully_connected_float_weights_as_inputs_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(fully_connected_float_weights_as_inputs_relaxed::examples);
+ const std::vector<Request> requests = createRequests(fully_connected_float_weights_as_inputs_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1163,12 +1163,12 @@
generated_tests::Execute(device,
hashtable_lookup_float_relaxed::createTestModel,
hashtable_lookup_float_relaxed::is_ignored,
- hashtable_lookup_float_relaxed::examples);
+ hashtable_lookup_float_relaxed::get_examples());
}
TEST_F(ValidationTest, hashtable_lookup_float_relaxed) {
const Model model = hashtable_lookup_float_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(hashtable_lookup_float_relaxed::examples);
+ const std::vector<Request> requests = createRequests(hashtable_lookup_float_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1186,12 +1186,12 @@
generated_tests::Execute(device,
l2_normalization_2_relaxed::createTestModel,
l2_normalization_2_relaxed::is_ignored,
- l2_normalization_2_relaxed::examples);
+ l2_normalization_2_relaxed::get_examples());
}
TEST_F(ValidationTest, l2_normalization_2_relaxed) {
const Model model = l2_normalization_2_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(l2_normalization_2_relaxed::examples);
+ const std::vector<Request> requests = createRequests(l2_normalization_2_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1209,12 +1209,12 @@
generated_tests::Execute(device,
l2_normalization_large_relaxed::createTestModel,
l2_normalization_large_relaxed::is_ignored,
- l2_normalization_large_relaxed::examples);
+ l2_normalization_large_relaxed::get_examples());
}
TEST_F(ValidationTest, l2_normalization_large_relaxed) {
const Model model = l2_normalization_large_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(l2_normalization_large_relaxed::examples);
+ const std::vector<Request> requests = createRequests(l2_normalization_large_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1232,12 +1232,12 @@
generated_tests::Execute(device,
l2_normalization_relaxed::createTestModel,
l2_normalization_relaxed::is_ignored,
- l2_normalization_relaxed::examples);
+ l2_normalization_relaxed::get_examples());
}
TEST_F(ValidationTest, l2_normalization_relaxed) {
const Model model = l2_normalization_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(l2_normalization_relaxed::examples);
+ const std::vector<Request> requests = createRequests(l2_normalization_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1255,12 +1255,12 @@
generated_tests::Execute(device,
l2_pool_float_2_relaxed::createTestModel,
l2_pool_float_2_relaxed::is_ignored,
- l2_pool_float_2_relaxed::examples);
+ l2_pool_float_2_relaxed::get_examples());
}
TEST_F(ValidationTest, l2_pool_float_2_relaxed) {
const Model model = l2_pool_float_2_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(l2_pool_float_2_relaxed::examples);
+ const std::vector<Request> requests = createRequests(l2_pool_float_2_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1278,12 +1278,12 @@
generated_tests::Execute(device,
l2_pool_float_large_relaxed::createTestModel,
l2_pool_float_large_relaxed::is_ignored,
- l2_pool_float_large_relaxed::examples);
+ l2_pool_float_large_relaxed::get_examples());
}
TEST_F(ValidationTest, l2_pool_float_large_relaxed) {
const Model model = l2_pool_float_large_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(l2_pool_float_large_relaxed::examples);
+ const std::vector<Request> requests = createRequests(l2_pool_float_large_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1301,12 +1301,12 @@
generated_tests::Execute(device,
l2_pool_float_relaxed::createTestModel,
l2_pool_float_relaxed::is_ignored,
- l2_pool_float_relaxed::examples);
+ l2_pool_float_relaxed::get_examples());
}
TEST_F(ValidationTest, l2_pool_float_relaxed) {
const Model model = l2_pool_float_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(l2_pool_float_relaxed::examples);
+ const std::vector<Request> requests = createRequests(l2_pool_float_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1324,12 +1324,12 @@
generated_tests::Execute(device,
local_response_norm_float_1_relaxed::createTestModel,
local_response_norm_float_1_relaxed::is_ignored,
- local_response_norm_float_1_relaxed::examples);
+ local_response_norm_float_1_relaxed::get_examples());
}
TEST_F(ValidationTest, local_response_norm_float_1_relaxed) {
const Model model = local_response_norm_float_1_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(local_response_norm_float_1_relaxed::examples);
+ const std::vector<Request> requests = createRequests(local_response_norm_float_1_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1347,12 +1347,12 @@
generated_tests::Execute(device,
local_response_norm_float_2_relaxed::createTestModel,
local_response_norm_float_2_relaxed::is_ignored,
- local_response_norm_float_2_relaxed::examples);
+ local_response_norm_float_2_relaxed::get_examples());
}
TEST_F(ValidationTest, local_response_norm_float_2_relaxed) {
const Model model = local_response_norm_float_2_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(local_response_norm_float_2_relaxed::examples);
+ const std::vector<Request> requests = createRequests(local_response_norm_float_2_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1370,12 +1370,12 @@
generated_tests::Execute(device,
local_response_norm_float_3_relaxed::createTestModel,
local_response_norm_float_3_relaxed::is_ignored,
- local_response_norm_float_3_relaxed::examples);
+ local_response_norm_float_3_relaxed::get_examples());
}
TEST_F(ValidationTest, local_response_norm_float_3_relaxed) {
const Model model = local_response_norm_float_3_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(local_response_norm_float_3_relaxed::examples);
+ const std::vector<Request> requests = createRequests(local_response_norm_float_3_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1393,12 +1393,12 @@
generated_tests::Execute(device,
local_response_norm_float_4_relaxed::createTestModel,
local_response_norm_float_4_relaxed::is_ignored,
- local_response_norm_float_4_relaxed::examples);
+ local_response_norm_float_4_relaxed::get_examples());
}
TEST_F(ValidationTest, local_response_norm_float_4_relaxed) {
const Model model = local_response_norm_float_4_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(local_response_norm_float_4_relaxed::examples);
+ const std::vector<Request> requests = createRequests(local_response_norm_float_4_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1416,12 +1416,12 @@
generated_tests::Execute(device,
logistic_float_1_relaxed::createTestModel,
logistic_float_1_relaxed::is_ignored,
- logistic_float_1_relaxed::examples);
+ logistic_float_1_relaxed::get_examples());
}
TEST_F(ValidationTest, logistic_float_1_relaxed) {
const Model model = logistic_float_1_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(logistic_float_1_relaxed::examples);
+ const std::vector<Request> requests = createRequests(logistic_float_1_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1439,12 +1439,12 @@
generated_tests::Execute(device,
logistic_float_2_relaxed::createTestModel,
logistic_float_2_relaxed::is_ignored,
- logistic_float_2_relaxed::examples);
+ logistic_float_2_relaxed::get_examples());
}
TEST_F(ValidationTest, logistic_float_2_relaxed) {
const Model model = logistic_float_2_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(logistic_float_2_relaxed::examples);
+ const std::vector<Request> requests = createRequests(logistic_float_2_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1462,12 +1462,12 @@
generated_tests::Execute(device,
lsh_projection_2_relaxed::createTestModel,
lsh_projection_2_relaxed::is_ignored,
- lsh_projection_2_relaxed::examples);
+ lsh_projection_2_relaxed::get_examples());
}
TEST_F(ValidationTest, lsh_projection_2_relaxed) {
const Model model = lsh_projection_2_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(lsh_projection_2_relaxed::examples);
+ const std::vector<Request> requests = createRequests(lsh_projection_2_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1485,12 +1485,12 @@
generated_tests::Execute(device,
lsh_projection_relaxed::createTestModel,
lsh_projection_relaxed::is_ignored,
- lsh_projection_relaxed::examples);
+ lsh_projection_relaxed::get_examples());
}
TEST_F(ValidationTest, lsh_projection_relaxed) {
const Model model = lsh_projection_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(lsh_projection_relaxed::examples);
+ const std::vector<Request> requests = createRequests(lsh_projection_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1508,12 +1508,12 @@
generated_tests::Execute(device,
lsh_projection_weights_as_inputs_relaxed::createTestModel,
lsh_projection_weights_as_inputs_relaxed::is_ignored,
- lsh_projection_weights_as_inputs_relaxed::examples);
+ lsh_projection_weights_as_inputs_relaxed::get_examples());
}
TEST_F(ValidationTest, lsh_projection_weights_as_inputs_relaxed) {
const Model model = lsh_projection_weights_as_inputs_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(lsh_projection_weights_as_inputs_relaxed::examples);
+ const std::vector<Request> requests = createRequests(lsh_projection_weights_as_inputs_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1531,12 +1531,12 @@
generated_tests::Execute(device,
lstm2_relaxed::createTestModel,
lstm2_relaxed::is_ignored,
- lstm2_relaxed::examples);
+ lstm2_relaxed::get_examples());
}
TEST_F(ValidationTest, lstm2_relaxed) {
const Model model = lstm2_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(lstm2_relaxed::examples);
+ const std::vector<Request> requests = createRequests(lstm2_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1554,12 +1554,12 @@
generated_tests::Execute(device,
lstm2_state2_relaxed::createTestModel,
lstm2_state2_relaxed::is_ignored,
- lstm2_state2_relaxed::examples);
+ lstm2_state2_relaxed::get_examples());
}
TEST_F(ValidationTest, lstm2_state2_relaxed) {
const Model model = lstm2_state2_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(lstm2_state2_relaxed::examples);
+ const std::vector<Request> requests = createRequests(lstm2_state2_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1577,12 +1577,12 @@
generated_tests::Execute(device,
lstm2_state_relaxed::createTestModel,
lstm2_state_relaxed::is_ignored,
- lstm2_state_relaxed::examples);
+ lstm2_state_relaxed::get_examples());
}
TEST_F(ValidationTest, lstm2_state_relaxed) {
const Model model = lstm2_state_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(lstm2_state_relaxed::examples);
+ const std::vector<Request> requests = createRequests(lstm2_state_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1600,12 +1600,12 @@
generated_tests::Execute(device,
lstm3_relaxed::createTestModel,
lstm3_relaxed::is_ignored,
- lstm3_relaxed::examples);
+ lstm3_relaxed::get_examples());
}
TEST_F(ValidationTest, lstm3_relaxed) {
const Model model = lstm3_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(lstm3_relaxed::examples);
+ const std::vector<Request> requests = createRequests(lstm3_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1623,12 +1623,12 @@
generated_tests::Execute(device,
lstm3_state2_relaxed::createTestModel,
lstm3_state2_relaxed::is_ignored,
- lstm3_state2_relaxed::examples);
+ lstm3_state2_relaxed::get_examples());
}
TEST_F(ValidationTest, lstm3_state2_relaxed) {
const Model model = lstm3_state2_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(lstm3_state2_relaxed::examples);
+ const std::vector<Request> requests = createRequests(lstm3_state2_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1646,12 +1646,12 @@
generated_tests::Execute(device,
lstm3_state3_relaxed::createTestModel,
lstm3_state3_relaxed::is_ignored,
- lstm3_state3_relaxed::examples);
+ lstm3_state3_relaxed::get_examples());
}
TEST_F(ValidationTest, lstm3_state3_relaxed) {
const Model model = lstm3_state3_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(lstm3_state3_relaxed::examples);
+ const std::vector<Request> requests = createRequests(lstm3_state3_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1669,12 +1669,12 @@
generated_tests::Execute(device,
lstm3_state_relaxed::createTestModel,
lstm3_state_relaxed::is_ignored,
- lstm3_state_relaxed::examples);
+ lstm3_state_relaxed::get_examples());
}
TEST_F(ValidationTest, lstm3_state_relaxed) {
const Model model = lstm3_state_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(lstm3_state_relaxed::examples);
+ const std::vector<Request> requests = createRequests(lstm3_state_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1692,12 +1692,12 @@
generated_tests::Execute(device,
lstm_relaxed::createTestModel,
lstm_relaxed::is_ignored,
- lstm_relaxed::examples);
+ lstm_relaxed::get_examples());
}
TEST_F(ValidationTest, lstm_relaxed) {
const Model model = lstm_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(lstm_relaxed::examples);
+ const std::vector<Request> requests = createRequests(lstm_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1715,12 +1715,12 @@
generated_tests::Execute(device,
lstm_state2_relaxed::createTestModel,
lstm_state2_relaxed::is_ignored,
- lstm_state2_relaxed::examples);
+ lstm_state2_relaxed::get_examples());
}
TEST_F(ValidationTest, lstm_state2_relaxed) {
const Model model = lstm_state2_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(lstm_state2_relaxed::examples);
+ const std::vector<Request> requests = createRequests(lstm_state2_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1738,12 +1738,12 @@
generated_tests::Execute(device,
lstm_state_relaxed::createTestModel,
lstm_state_relaxed::is_ignored,
- lstm_state_relaxed::examples);
+ lstm_state_relaxed::get_examples());
}
TEST_F(ValidationTest, lstm_state_relaxed) {
const Model model = lstm_state_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(lstm_state_relaxed::examples);
+ const std::vector<Request> requests = createRequests(lstm_state_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1761,12 +1761,12 @@
generated_tests::Execute(device,
max_pool_float_1_relaxed::createTestModel,
max_pool_float_1_relaxed::is_ignored,
- max_pool_float_1_relaxed::examples);
+ max_pool_float_1_relaxed::get_examples());
}
TEST_F(ValidationTest, max_pool_float_1_relaxed) {
const Model model = max_pool_float_1_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(max_pool_float_1_relaxed::examples);
+ const std::vector<Request> requests = createRequests(max_pool_float_1_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1784,12 +1784,12 @@
generated_tests::Execute(device,
max_pool_float_2_relaxed::createTestModel,
max_pool_float_2_relaxed::is_ignored,
- max_pool_float_2_relaxed::examples);
+ max_pool_float_2_relaxed::get_examples());
}
TEST_F(ValidationTest, max_pool_float_2_relaxed) {
const Model model = max_pool_float_2_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(max_pool_float_2_relaxed::examples);
+ const std::vector<Request> requests = createRequests(max_pool_float_2_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1807,12 +1807,12 @@
generated_tests::Execute(device,
max_pool_float_3_relaxed::createTestModel,
max_pool_float_3_relaxed::is_ignored,
- max_pool_float_3_relaxed::examples);
+ max_pool_float_3_relaxed::get_examples());
}
TEST_F(ValidationTest, max_pool_float_3_relaxed) {
const Model model = max_pool_float_3_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(max_pool_float_3_relaxed::examples);
+ const std::vector<Request> requests = createRequests(max_pool_float_3_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1830,12 +1830,12 @@
generated_tests::Execute(device,
max_pool_float_4_relaxed::createTestModel,
max_pool_float_4_relaxed::is_ignored,
- max_pool_float_4_relaxed::examples);
+ max_pool_float_4_relaxed::get_examples());
}
TEST_F(ValidationTest, max_pool_float_4_relaxed) {
const Model model = max_pool_float_4_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(max_pool_float_4_relaxed::examples);
+ const std::vector<Request> requests = createRequests(max_pool_float_4_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1853,12 +1853,12 @@
generated_tests::Execute(device,
mean::createTestModel,
mean::is_ignored,
- mean::examples);
+ mean::get_examples());
}
TEST_F(ValidationTest, mean) {
const Model model = mean::createTestModel();
- const std::vector<Request> requests = createRequests(mean::examples);
+ const std::vector<Request> requests = createRequests(mean::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1876,12 +1876,12 @@
generated_tests::Execute(device,
mean_float_1::createTestModel,
mean_float_1::is_ignored,
- mean_float_1::examples);
+ mean_float_1::get_examples());
}
TEST_F(ValidationTest, mean_float_1) {
const Model model = mean_float_1::createTestModel();
- const std::vector<Request> requests = createRequests(mean_float_1::examples);
+ const std::vector<Request> requests = createRequests(mean_float_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1899,12 +1899,12 @@
generated_tests::Execute(device,
mean_float_1_relaxed::createTestModel,
mean_float_1_relaxed::is_ignored,
- mean_float_1_relaxed::examples);
+ mean_float_1_relaxed::get_examples());
}
TEST_F(ValidationTest, mean_float_1_relaxed) {
const Model model = mean_float_1_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(mean_float_1_relaxed::examples);
+ const std::vector<Request> requests = createRequests(mean_float_1_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1922,12 +1922,12 @@
generated_tests::Execute(device,
mean_float_2::createTestModel,
mean_float_2::is_ignored,
- mean_float_2::examples);
+ mean_float_2::get_examples());
}
TEST_F(ValidationTest, mean_float_2) {
const Model model = mean_float_2::createTestModel();
- const std::vector<Request> requests = createRequests(mean_float_2::examples);
+ const std::vector<Request> requests = createRequests(mean_float_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1945,12 +1945,12 @@
generated_tests::Execute(device,
mean_float_2_relaxed::createTestModel,
mean_float_2_relaxed::is_ignored,
- mean_float_2_relaxed::examples);
+ mean_float_2_relaxed::get_examples());
}
TEST_F(ValidationTest, mean_float_2_relaxed) {
const Model model = mean_float_2_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(mean_float_2_relaxed::examples);
+ const std::vector<Request> requests = createRequests(mean_float_2_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1968,12 +1968,12 @@
generated_tests::Execute(device,
mean_quant8_1::createTestModel,
mean_quant8_1::is_ignored,
- mean_quant8_1::examples);
+ mean_quant8_1::get_examples());
}
TEST_F(ValidationTest, mean_quant8_1) {
const Model model = mean_quant8_1::createTestModel();
- const std::vector<Request> requests = createRequests(mean_quant8_1::examples);
+ const std::vector<Request> requests = createRequests(mean_quant8_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -1991,12 +1991,12 @@
generated_tests::Execute(device,
mean_quant8_2::createTestModel,
mean_quant8_2::is_ignored,
- mean_quant8_2::examples);
+ mean_quant8_2::get_examples());
}
TEST_F(ValidationTest, mean_quant8_2) {
const Model model = mean_quant8_2::createTestModel();
- const std::vector<Request> requests = createRequests(mean_quant8_2::examples);
+ const std::vector<Request> requests = createRequests(mean_quant8_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2014,12 +2014,12 @@
generated_tests::Execute(device,
mean_relaxed::createTestModel,
mean_relaxed::is_ignored,
- mean_relaxed::examples);
+ mean_relaxed::get_examples());
}
TEST_F(ValidationTest, mean_relaxed) {
const Model model = mean_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(mean_relaxed::examples);
+ const std::vector<Request> requests = createRequests(mean_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2037,12 +2037,12 @@
generated_tests::Execute(device,
mobilenet_224_gender_basic_fixed_relaxed::createTestModel,
mobilenet_224_gender_basic_fixed_relaxed::is_ignored,
- mobilenet_224_gender_basic_fixed_relaxed::examples);
+ mobilenet_224_gender_basic_fixed_relaxed::get_examples());
}
TEST_F(ValidationTest, mobilenet_224_gender_basic_fixed_relaxed) {
const Model model = mobilenet_224_gender_basic_fixed_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(mobilenet_224_gender_basic_fixed_relaxed::examples);
+ const std::vector<Request> requests = createRequests(mobilenet_224_gender_basic_fixed_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2060,12 +2060,12 @@
generated_tests::Execute(device,
mul_relaxed::createTestModel,
mul_relaxed::is_ignored,
- mul_relaxed::examples);
+ mul_relaxed::get_examples());
}
TEST_F(ValidationTest, mul_relaxed) {
const Model model = mul_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(mul_relaxed::examples);
+ const std::vector<Request> requests = createRequests(mul_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2083,12 +2083,12 @@
generated_tests::Execute(device,
mul_relu_relaxed::createTestModel,
mul_relu_relaxed::is_ignored,
- mul_relu_relaxed::examples);
+ mul_relu_relaxed::get_examples());
}
TEST_F(ValidationTest, mul_relu_relaxed) {
const Model model = mul_relu_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(mul_relu_relaxed::examples);
+ const std::vector<Request> requests = createRequests(mul_relu_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2106,12 +2106,12 @@
generated_tests::Execute(device,
pad::createTestModel,
pad::is_ignored,
- pad::examples);
+ pad::get_examples());
}
TEST_F(ValidationTest, pad) {
const Model model = pad::createTestModel();
- const std::vector<Request> requests = createRequests(pad::examples);
+ const std::vector<Request> requests = createRequests(pad::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2129,12 +2129,12 @@
generated_tests::Execute(device,
pad_float_1::createTestModel,
pad_float_1::is_ignored,
- pad_float_1::examples);
+ pad_float_1::get_examples());
}
TEST_F(ValidationTest, pad_float_1) {
const Model model = pad_float_1::createTestModel();
- const std::vector<Request> requests = createRequests(pad_float_1::examples);
+ const std::vector<Request> requests = createRequests(pad_float_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2152,12 +2152,12 @@
generated_tests::Execute(device,
pad_float_1_relaxed::createTestModel,
pad_float_1_relaxed::is_ignored,
- pad_float_1_relaxed::examples);
+ pad_float_1_relaxed::get_examples());
}
TEST_F(ValidationTest, pad_float_1_relaxed) {
const Model model = pad_float_1_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(pad_float_1_relaxed::examples);
+ const std::vector<Request> requests = createRequests(pad_float_1_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2175,12 +2175,12 @@
generated_tests::Execute(device,
pad_relaxed::createTestModel,
pad_relaxed::is_ignored,
- pad_relaxed::examples);
+ pad_relaxed::get_examples());
}
TEST_F(ValidationTest, pad_relaxed) {
const Model model = pad_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(pad_relaxed::examples);
+ const std::vector<Request> requests = createRequests(pad_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2198,12 +2198,12 @@
generated_tests::Execute(device,
relu1_float_1_relaxed::createTestModel,
relu1_float_1_relaxed::is_ignored,
- relu1_float_1_relaxed::examples);
+ relu1_float_1_relaxed::get_examples());
}
TEST_F(ValidationTest, relu1_float_1_relaxed) {
const Model model = relu1_float_1_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(relu1_float_1_relaxed::examples);
+ const std::vector<Request> requests = createRequests(relu1_float_1_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2221,12 +2221,12 @@
generated_tests::Execute(device,
relu1_float_2_relaxed::createTestModel,
relu1_float_2_relaxed::is_ignored,
- relu1_float_2_relaxed::examples);
+ relu1_float_2_relaxed::get_examples());
}
TEST_F(ValidationTest, relu1_float_2_relaxed) {
const Model model = relu1_float_2_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(relu1_float_2_relaxed::examples);
+ const std::vector<Request> requests = createRequests(relu1_float_2_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2244,12 +2244,12 @@
generated_tests::Execute(device,
relu6_float_1_relaxed::createTestModel,
relu6_float_1_relaxed::is_ignored,
- relu6_float_1_relaxed::examples);
+ relu6_float_1_relaxed::get_examples());
}
TEST_F(ValidationTest, relu6_float_1_relaxed) {
const Model model = relu6_float_1_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(relu6_float_1_relaxed::examples);
+ const std::vector<Request> requests = createRequests(relu6_float_1_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2267,12 +2267,12 @@
generated_tests::Execute(device,
relu6_float_2_relaxed::createTestModel,
relu6_float_2_relaxed::is_ignored,
- relu6_float_2_relaxed::examples);
+ relu6_float_2_relaxed::get_examples());
}
TEST_F(ValidationTest, relu6_float_2_relaxed) {
const Model model = relu6_float_2_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(relu6_float_2_relaxed::examples);
+ const std::vector<Request> requests = createRequests(relu6_float_2_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2290,12 +2290,12 @@
generated_tests::Execute(device,
relu_float_1_relaxed::createTestModel,
relu_float_1_relaxed::is_ignored,
- relu_float_1_relaxed::examples);
+ relu_float_1_relaxed::get_examples());
}
TEST_F(ValidationTest, relu_float_1_relaxed) {
const Model model = relu_float_1_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(relu_float_1_relaxed::examples);
+ const std::vector<Request> requests = createRequests(relu_float_1_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2313,12 +2313,12 @@
generated_tests::Execute(device,
relu_float_2_relaxed::createTestModel,
relu_float_2_relaxed::is_ignored,
- relu_float_2_relaxed::examples);
+ relu_float_2_relaxed::get_examples());
}
TEST_F(ValidationTest, relu_float_2_relaxed) {
const Model model = relu_float_2_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(relu_float_2_relaxed::examples);
+ const std::vector<Request> requests = createRequests(relu_float_2_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2336,12 +2336,12 @@
generated_tests::Execute(device,
reshape_relaxed::createTestModel,
reshape_relaxed::is_ignored,
- reshape_relaxed::examples);
+ reshape_relaxed::get_examples());
}
TEST_F(ValidationTest, reshape_relaxed) {
const Model model = reshape_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(reshape_relaxed::examples);
+ const std::vector<Request> requests = createRequests(reshape_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2359,12 +2359,12 @@
generated_tests::Execute(device,
reshape_weights_as_inputs_relaxed::createTestModel,
reshape_weights_as_inputs_relaxed::is_ignored,
- reshape_weights_as_inputs_relaxed::examples);
+ reshape_weights_as_inputs_relaxed::get_examples());
}
TEST_F(ValidationTest, reshape_weights_as_inputs_relaxed) {
const Model model = reshape_weights_as_inputs_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(reshape_weights_as_inputs_relaxed::examples);
+ const std::vector<Request> requests = createRequests(reshape_weights_as_inputs_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2382,12 +2382,12 @@
generated_tests::Execute(device,
resize_bilinear_2_relaxed::createTestModel,
resize_bilinear_2_relaxed::is_ignored,
- resize_bilinear_2_relaxed::examples);
+ resize_bilinear_2_relaxed::get_examples());
}
TEST_F(ValidationTest, resize_bilinear_2_relaxed) {
const Model model = resize_bilinear_2_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(resize_bilinear_2_relaxed::examples);
+ const std::vector<Request> requests = createRequests(resize_bilinear_2_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2405,12 +2405,12 @@
generated_tests::Execute(device,
resize_bilinear_relaxed::createTestModel,
resize_bilinear_relaxed::is_ignored,
- resize_bilinear_relaxed::examples);
+ resize_bilinear_relaxed::get_examples());
}
TEST_F(ValidationTest, resize_bilinear_relaxed) {
const Model model = resize_bilinear_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(resize_bilinear_relaxed::examples);
+ const std::vector<Request> requests = createRequests(resize_bilinear_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2428,12 +2428,12 @@
generated_tests::Execute(device,
rnn_relaxed::createTestModel,
rnn_relaxed::is_ignored,
- rnn_relaxed::examples);
+ rnn_relaxed::get_examples());
}
TEST_F(ValidationTest, rnn_relaxed) {
const Model model = rnn_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(rnn_relaxed::examples);
+ const std::vector<Request> requests = createRequests(rnn_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2451,12 +2451,12 @@
generated_tests::Execute(device,
rnn_state_relaxed::createTestModel,
rnn_state_relaxed::is_ignored,
- rnn_state_relaxed::examples);
+ rnn_state_relaxed::get_examples());
}
TEST_F(ValidationTest, rnn_state_relaxed) {
const Model model = rnn_state_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(rnn_state_relaxed::examples);
+ const std::vector<Request> requests = createRequests(rnn_state_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2474,12 +2474,12 @@
generated_tests::Execute(device,
softmax_float_1_relaxed::createTestModel,
softmax_float_1_relaxed::is_ignored,
- softmax_float_1_relaxed::examples);
+ softmax_float_1_relaxed::get_examples());
}
TEST_F(ValidationTest, softmax_float_1_relaxed) {
const Model model = softmax_float_1_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(softmax_float_1_relaxed::examples);
+ const std::vector<Request> requests = createRequests(softmax_float_1_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2497,12 +2497,12 @@
generated_tests::Execute(device,
softmax_float_2_relaxed::createTestModel,
softmax_float_2_relaxed::is_ignored,
- softmax_float_2_relaxed::examples);
+ softmax_float_2_relaxed::get_examples());
}
TEST_F(ValidationTest, softmax_float_2_relaxed) {
const Model model = softmax_float_2_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(softmax_float_2_relaxed::examples);
+ const std::vector<Request> requests = createRequests(softmax_float_2_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2520,12 +2520,12 @@
generated_tests::Execute(device,
space_to_batch::createTestModel,
space_to_batch::is_ignored,
- space_to_batch::examples);
+ space_to_batch::get_examples());
}
TEST_F(ValidationTest, space_to_batch) {
const Model model = space_to_batch::createTestModel();
- const std::vector<Request> requests = createRequests(space_to_batch::examples);
+ const std::vector<Request> requests = createRequests(space_to_batch::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2543,12 +2543,12 @@
generated_tests::Execute(device,
space_to_batch_float_1::createTestModel,
space_to_batch_float_1::is_ignored,
- space_to_batch_float_1::examples);
+ space_to_batch_float_1::get_examples());
}
TEST_F(ValidationTest, space_to_batch_float_1) {
const Model model = space_to_batch_float_1::createTestModel();
- const std::vector<Request> requests = createRequests(space_to_batch_float_1::examples);
+ const std::vector<Request> requests = createRequests(space_to_batch_float_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2566,12 +2566,12 @@
generated_tests::Execute(device,
space_to_batch_float_1_relaxed::createTestModel,
space_to_batch_float_1_relaxed::is_ignored,
- space_to_batch_float_1_relaxed::examples);
+ space_to_batch_float_1_relaxed::get_examples());
}
TEST_F(ValidationTest, space_to_batch_float_1_relaxed) {
const Model model = space_to_batch_float_1_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(space_to_batch_float_1_relaxed::examples);
+ const std::vector<Request> requests = createRequests(space_to_batch_float_1_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2589,12 +2589,12 @@
generated_tests::Execute(device,
space_to_batch_float_2::createTestModel,
space_to_batch_float_2::is_ignored,
- space_to_batch_float_2::examples);
+ space_to_batch_float_2::get_examples());
}
TEST_F(ValidationTest, space_to_batch_float_2) {
const Model model = space_to_batch_float_2::createTestModel();
- const std::vector<Request> requests = createRequests(space_to_batch_float_2::examples);
+ const std::vector<Request> requests = createRequests(space_to_batch_float_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2612,12 +2612,12 @@
generated_tests::Execute(device,
space_to_batch_float_2_relaxed::createTestModel,
space_to_batch_float_2_relaxed::is_ignored,
- space_to_batch_float_2_relaxed::examples);
+ space_to_batch_float_2_relaxed::get_examples());
}
TEST_F(ValidationTest, space_to_batch_float_2_relaxed) {
const Model model = space_to_batch_float_2_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(space_to_batch_float_2_relaxed::examples);
+ const std::vector<Request> requests = createRequests(space_to_batch_float_2_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2635,12 +2635,12 @@
generated_tests::Execute(device,
space_to_batch_float_3::createTestModel,
space_to_batch_float_3::is_ignored,
- space_to_batch_float_3::examples);
+ space_to_batch_float_3::get_examples());
}
TEST_F(ValidationTest, space_to_batch_float_3) {
const Model model = space_to_batch_float_3::createTestModel();
- const std::vector<Request> requests = createRequests(space_to_batch_float_3::examples);
+ const std::vector<Request> requests = createRequests(space_to_batch_float_3::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2658,12 +2658,12 @@
generated_tests::Execute(device,
space_to_batch_float_3_relaxed::createTestModel,
space_to_batch_float_3_relaxed::is_ignored,
- space_to_batch_float_3_relaxed::examples);
+ space_to_batch_float_3_relaxed::get_examples());
}
TEST_F(ValidationTest, space_to_batch_float_3_relaxed) {
const Model model = space_to_batch_float_3_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(space_to_batch_float_3_relaxed::examples);
+ const std::vector<Request> requests = createRequests(space_to_batch_float_3_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2681,12 +2681,12 @@
generated_tests::Execute(device,
space_to_batch_quant8_1::createTestModel,
space_to_batch_quant8_1::is_ignored,
- space_to_batch_quant8_1::examples);
+ space_to_batch_quant8_1::get_examples());
}
TEST_F(ValidationTest, space_to_batch_quant8_1) {
const Model model = space_to_batch_quant8_1::createTestModel();
- const std::vector<Request> requests = createRequests(space_to_batch_quant8_1::examples);
+ const std::vector<Request> requests = createRequests(space_to_batch_quant8_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2704,12 +2704,12 @@
generated_tests::Execute(device,
space_to_batch_quant8_2::createTestModel,
space_to_batch_quant8_2::is_ignored,
- space_to_batch_quant8_2::examples);
+ space_to_batch_quant8_2::get_examples());
}
TEST_F(ValidationTest, space_to_batch_quant8_2) {
const Model model = space_to_batch_quant8_2::createTestModel();
- const std::vector<Request> requests = createRequests(space_to_batch_quant8_2::examples);
+ const std::vector<Request> requests = createRequests(space_to_batch_quant8_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2727,12 +2727,12 @@
generated_tests::Execute(device,
space_to_batch_quant8_3::createTestModel,
space_to_batch_quant8_3::is_ignored,
- space_to_batch_quant8_3::examples);
+ space_to_batch_quant8_3::get_examples());
}
TEST_F(ValidationTest, space_to_batch_quant8_3) {
const Model model = space_to_batch_quant8_3::createTestModel();
- const std::vector<Request> requests = createRequests(space_to_batch_quant8_3::examples);
+ const std::vector<Request> requests = createRequests(space_to_batch_quant8_3::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2750,12 +2750,12 @@
generated_tests::Execute(device,
space_to_batch_relaxed::createTestModel,
space_to_batch_relaxed::is_ignored,
- space_to_batch_relaxed::examples);
+ space_to_batch_relaxed::get_examples());
}
TEST_F(ValidationTest, space_to_batch_relaxed) {
const Model model = space_to_batch_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(space_to_batch_relaxed::examples);
+ const std::vector<Request> requests = createRequests(space_to_batch_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2773,12 +2773,12 @@
generated_tests::Execute(device,
space_to_depth_float_1_relaxed::createTestModel,
space_to_depth_float_1_relaxed::is_ignored,
- space_to_depth_float_1_relaxed::examples);
+ space_to_depth_float_1_relaxed::get_examples());
}
TEST_F(ValidationTest, space_to_depth_float_1_relaxed) {
const Model model = space_to_depth_float_1_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(space_to_depth_float_1_relaxed::examples);
+ const std::vector<Request> requests = createRequests(space_to_depth_float_1_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2796,12 +2796,12 @@
generated_tests::Execute(device,
space_to_depth_float_2_relaxed::createTestModel,
space_to_depth_float_2_relaxed::is_ignored,
- space_to_depth_float_2_relaxed::examples);
+ space_to_depth_float_2_relaxed::get_examples());
}
TEST_F(ValidationTest, space_to_depth_float_2_relaxed) {
const Model model = space_to_depth_float_2_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(space_to_depth_float_2_relaxed::examples);
+ const std::vector<Request> requests = createRequests(space_to_depth_float_2_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2819,12 +2819,12 @@
generated_tests::Execute(device,
space_to_depth_float_3_relaxed::createTestModel,
space_to_depth_float_3_relaxed::is_ignored,
- space_to_depth_float_3_relaxed::examples);
+ space_to_depth_float_3_relaxed::get_examples());
}
TEST_F(ValidationTest, space_to_depth_float_3_relaxed) {
const Model model = space_to_depth_float_3_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(space_to_depth_float_3_relaxed::examples);
+ const std::vector<Request> requests = createRequests(space_to_depth_float_3_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2842,12 +2842,12 @@
generated_tests::Execute(device,
squeeze::createTestModel,
squeeze::is_ignored,
- squeeze::examples);
+ squeeze::get_examples());
}
TEST_F(ValidationTest, squeeze) {
const Model model = squeeze::createTestModel();
- const std::vector<Request> requests = createRequests(squeeze::examples);
+ const std::vector<Request> requests = createRequests(squeeze::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2865,12 +2865,12 @@
generated_tests::Execute(device,
squeeze_float_1::createTestModel,
squeeze_float_1::is_ignored,
- squeeze_float_1::examples);
+ squeeze_float_1::get_examples());
}
TEST_F(ValidationTest, squeeze_float_1) {
const Model model = squeeze_float_1::createTestModel();
- const std::vector<Request> requests = createRequests(squeeze_float_1::examples);
+ const std::vector<Request> requests = createRequests(squeeze_float_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2888,12 +2888,12 @@
generated_tests::Execute(device,
squeeze_float_1_relaxed::createTestModel,
squeeze_float_1_relaxed::is_ignored,
- squeeze_float_1_relaxed::examples);
+ squeeze_float_1_relaxed::get_examples());
}
TEST_F(ValidationTest, squeeze_float_1_relaxed) {
const Model model = squeeze_float_1_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(squeeze_float_1_relaxed::examples);
+ const std::vector<Request> requests = createRequests(squeeze_float_1_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2911,12 +2911,12 @@
generated_tests::Execute(device,
squeeze_quant8_1::createTestModel,
squeeze_quant8_1::is_ignored,
- squeeze_quant8_1::examples);
+ squeeze_quant8_1::get_examples());
}
TEST_F(ValidationTest, squeeze_quant8_1) {
const Model model = squeeze_quant8_1::createTestModel();
- const std::vector<Request> requests = createRequests(squeeze_quant8_1::examples);
+ const std::vector<Request> requests = createRequests(squeeze_quant8_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2934,12 +2934,12 @@
generated_tests::Execute(device,
squeeze_relaxed::createTestModel,
squeeze_relaxed::is_ignored,
- squeeze_relaxed::examples);
+ squeeze_relaxed::get_examples());
}
TEST_F(ValidationTest, squeeze_relaxed) {
const Model model = squeeze_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(squeeze_relaxed::examples);
+ const std::vector<Request> requests = createRequests(squeeze_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2957,12 +2957,12 @@
generated_tests::Execute(device,
strided_slice::createTestModel,
strided_slice::is_ignored,
- strided_slice::examples);
+ strided_slice::get_examples());
}
TEST_F(ValidationTest, strided_slice) {
const Model model = strided_slice::createTestModel();
- const std::vector<Request> requests = createRequests(strided_slice::examples);
+ const std::vector<Request> requests = createRequests(strided_slice::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2980,12 +2980,12 @@
generated_tests::Execute(device,
strided_slice_float_1::createTestModel,
strided_slice_float_1::is_ignored,
- strided_slice_float_1::examples);
+ strided_slice_float_1::get_examples());
}
TEST_F(ValidationTest, strided_slice_float_1) {
const Model model = strided_slice_float_1::createTestModel();
- const std::vector<Request> requests = createRequests(strided_slice_float_1::examples);
+ const std::vector<Request> requests = createRequests(strided_slice_float_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3003,12 +3003,12 @@
generated_tests::Execute(device,
strided_slice_float_10::createTestModel,
strided_slice_float_10::is_ignored,
- strided_slice_float_10::examples);
+ strided_slice_float_10::get_examples());
}
TEST_F(ValidationTest, strided_slice_float_10) {
const Model model = strided_slice_float_10::createTestModel();
- const std::vector<Request> requests = createRequests(strided_slice_float_10::examples);
+ const std::vector<Request> requests = createRequests(strided_slice_float_10::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3026,12 +3026,12 @@
generated_tests::Execute(device,
strided_slice_float_10_relaxed::createTestModel,
strided_slice_float_10_relaxed::is_ignored,
- strided_slice_float_10_relaxed::examples);
+ strided_slice_float_10_relaxed::get_examples());
}
TEST_F(ValidationTest, strided_slice_float_10_relaxed) {
const Model model = strided_slice_float_10_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(strided_slice_float_10_relaxed::examples);
+ const std::vector<Request> requests = createRequests(strided_slice_float_10_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3049,12 +3049,12 @@
generated_tests::Execute(device,
strided_slice_float_11::createTestModel,
strided_slice_float_11::is_ignored,
- strided_slice_float_11::examples);
+ strided_slice_float_11::get_examples());
}
TEST_F(ValidationTest, strided_slice_float_11) {
const Model model = strided_slice_float_11::createTestModel();
- const std::vector<Request> requests = createRequests(strided_slice_float_11::examples);
+ const std::vector<Request> requests = createRequests(strided_slice_float_11::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3072,12 +3072,12 @@
generated_tests::Execute(device,
strided_slice_float_11_relaxed::createTestModel,
strided_slice_float_11_relaxed::is_ignored,
- strided_slice_float_11_relaxed::examples);
+ strided_slice_float_11_relaxed::get_examples());
}
TEST_F(ValidationTest, strided_slice_float_11_relaxed) {
const Model model = strided_slice_float_11_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(strided_slice_float_11_relaxed::examples);
+ const std::vector<Request> requests = createRequests(strided_slice_float_11_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3095,12 +3095,12 @@
generated_tests::Execute(device,
strided_slice_float_1_relaxed::createTestModel,
strided_slice_float_1_relaxed::is_ignored,
- strided_slice_float_1_relaxed::examples);
+ strided_slice_float_1_relaxed::get_examples());
}
TEST_F(ValidationTest, strided_slice_float_1_relaxed) {
const Model model = strided_slice_float_1_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(strided_slice_float_1_relaxed::examples);
+ const std::vector<Request> requests = createRequests(strided_slice_float_1_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3118,12 +3118,12 @@
generated_tests::Execute(device,
strided_slice_float_2::createTestModel,
strided_slice_float_2::is_ignored,
- strided_slice_float_2::examples);
+ strided_slice_float_2::get_examples());
}
TEST_F(ValidationTest, strided_slice_float_2) {
const Model model = strided_slice_float_2::createTestModel();
- const std::vector<Request> requests = createRequests(strided_slice_float_2::examples);
+ const std::vector<Request> requests = createRequests(strided_slice_float_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3141,12 +3141,12 @@
generated_tests::Execute(device,
strided_slice_float_2_relaxed::createTestModel,
strided_slice_float_2_relaxed::is_ignored,
- strided_slice_float_2_relaxed::examples);
+ strided_slice_float_2_relaxed::get_examples());
}
TEST_F(ValidationTest, strided_slice_float_2_relaxed) {
const Model model = strided_slice_float_2_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(strided_slice_float_2_relaxed::examples);
+ const std::vector<Request> requests = createRequests(strided_slice_float_2_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3164,12 +3164,12 @@
generated_tests::Execute(device,
strided_slice_float_3::createTestModel,
strided_slice_float_3::is_ignored,
- strided_slice_float_3::examples);
+ strided_slice_float_3::get_examples());
}
TEST_F(ValidationTest, strided_slice_float_3) {
const Model model = strided_slice_float_3::createTestModel();
- const std::vector<Request> requests = createRequests(strided_slice_float_3::examples);
+ const std::vector<Request> requests = createRequests(strided_slice_float_3::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3187,12 +3187,12 @@
generated_tests::Execute(device,
strided_slice_float_3_relaxed::createTestModel,
strided_slice_float_3_relaxed::is_ignored,
- strided_slice_float_3_relaxed::examples);
+ strided_slice_float_3_relaxed::get_examples());
}
TEST_F(ValidationTest, strided_slice_float_3_relaxed) {
const Model model = strided_slice_float_3_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(strided_slice_float_3_relaxed::examples);
+ const std::vector<Request> requests = createRequests(strided_slice_float_3_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3210,12 +3210,12 @@
generated_tests::Execute(device,
strided_slice_float_4::createTestModel,
strided_slice_float_4::is_ignored,
- strided_slice_float_4::examples);
+ strided_slice_float_4::get_examples());
}
TEST_F(ValidationTest, strided_slice_float_4) {
const Model model = strided_slice_float_4::createTestModel();
- const std::vector<Request> requests = createRequests(strided_slice_float_4::examples);
+ const std::vector<Request> requests = createRequests(strided_slice_float_4::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3233,12 +3233,12 @@
generated_tests::Execute(device,
strided_slice_float_4_relaxed::createTestModel,
strided_slice_float_4_relaxed::is_ignored,
- strided_slice_float_4_relaxed::examples);
+ strided_slice_float_4_relaxed::get_examples());
}
TEST_F(ValidationTest, strided_slice_float_4_relaxed) {
const Model model = strided_slice_float_4_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(strided_slice_float_4_relaxed::examples);
+ const std::vector<Request> requests = createRequests(strided_slice_float_4_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3256,12 +3256,12 @@
generated_tests::Execute(device,
strided_slice_float_5::createTestModel,
strided_slice_float_5::is_ignored,
- strided_slice_float_5::examples);
+ strided_slice_float_5::get_examples());
}
TEST_F(ValidationTest, strided_slice_float_5) {
const Model model = strided_slice_float_5::createTestModel();
- const std::vector<Request> requests = createRequests(strided_slice_float_5::examples);
+ const std::vector<Request> requests = createRequests(strided_slice_float_5::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3279,12 +3279,12 @@
generated_tests::Execute(device,
strided_slice_float_5_relaxed::createTestModel,
strided_slice_float_5_relaxed::is_ignored,
- strided_slice_float_5_relaxed::examples);
+ strided_slice_float_5_relaxed::get_examples());
}
TEST_F(ValidationTest, strided_slice_float_5_relaxed) {
const Model model = strided_slice_float_5_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(strided_slice_float_5_relaxed::examples);
+ const std::vector<Request> requests = createRequests(strided_slice_float_5_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3302,12 +3302,12 @@
generated_tests::Execute(device,
strided_slice_float_6::createTestModel,
strided_slice_float_6::is_ignored,
- strided_slice_float_6::examples);
+ strided_slice_float_6::get_examples());
}
TEST_F(ValidationTest, strided_slice_float_6) {
const Model model = strided_slice_float_6::createTestModel();
- const std::vector<Request> requests = createRequests(strided_slice_float_6::examples);
+ const std::vector<Request> requests = createRequests(strided_slice_float_6::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3325,12 +3325,12 @@
generated_tests::Execute(device,
strided_slice_float_6_relaxed::createTestModel,
strided_slice_float_6_relaxed::is_ignored,
- strided_slice_float_6_relaxed::examples);
+ strided_slice_float_6_relaxed::get_examples());
}
TEST_F(ValidationTest, strided_slice_float_6_relaxed) {
const Model model = strided_slice_float_6_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(strided_slice_float_6_relaxed::examples);
+ const std::vector<Request> requests = createRequests(strided_slice_float_6_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3348,12 +3348,12 @@
generated_tests::Execute(device,
strided_slice_float_7::createTestModel,
strided_slice_float_7::is_ignored,
- strided_slice_float_7::examples);
+ strided_slice_float_7::get_examples());
}
TEST_F(ValidationTest, strided_slice_float_7) {
const Model model = strided_slice_float_7::createTestModel();
- const std::vector<Request> requests = createRequests(strided_slice_float_7::examples);
+ const std::vector<Request> requests = createRequests(strided_slice_float_7::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3371,12 +3371,12 @@
generated_tests::Execute(device,
strided_slice_float_7_relaxed::createTestModel,
strided_slice_float_7_relaxed::is_ignored,
- strided_slice_float_7_relaxed::examples);
+ strided_slice_float_7_relaxed::get_examples());
}
TEST_F(ValidationTest, strided_slice_float_7_relaxed) {
const Model model = strided_slice_float_7_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(strided_slice_float_7_relaxed::examples);
+ const std::vector<Request> requests = createRequests(strided_slice_float_7_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3394,12 +3394,12 @@
generated_tests::Execute(device,
strided_slice_float_8::createTestModel,
strided_slice_float_8::is_ignored,
- strided_slice_float_8::examples);
+ strided_slice_float_8::get_examples());
}
TEST_F(ValidationTest, strided_slice_float_8) {
const Model model = strided_slice_float_8::createTestModel();
- const std::vector<Request> requests = createRequests(strided_slice_float_8::examples);
+ const std::vector<Request> requests = createRequests(strided_slice_float_8::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3417,12 +3417,12 @@
generated_tests::Execute(device,
strided_slice_float_8_relaxed::createTestModel,
strided_slice_float_8_relaxed::is_ignored,
- strided_slice_float_8_relaxed::examples);
+ strided_slice_float_8_relaxed::get_examples());
}
TEST_F(ValidationTest, strided_slice_float_8_relaxed) {
const Model model = strided_slice_float_8_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(strided_slice_float_8_relaxed::examples);
+ const std::vector<Request> requests = createRequests(strided_slice_float_8_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3440,12 +3440,12 @@
generated_tests::Execute(device,
strided_slice_float_9::createTestModel,
strided_slice_float_9::is_ignored,
- strided_slice_float_9::examples);
+ strided_slice_float_9::get_examples());
}
TEST_F(ValidationTest, strided_slice_float_9) {
const Model model = strided_slice_float_9::createTestModel();
- const std::vector<Request> requests = createRequests(strided_slice_float_9::examples);
+ const std::vector<Request> requests = createRequests(strided_slice_float_9::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3463,12 +3463,12 @@
generated_tests::Execute(device,
strided_slice_float_9_relaxed::createTestModel,
strided_slice_float_9_relaxed::is_ignored,
- strided_slice_float_9_relaxed::examples);
+ strided_slice_float_9_relaxed::get_examples());
}
TEST_F(ValidationTest, strided_slice_float_9_relaxed) {
const Model model = strided_slice_float_9_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(strided_slice_float_9_relaxed::examples);
+ const std::vector<Request> requests = createRequests(strided_slice_float_9_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3486,12 +3486,12 @@
generated_tests::Execute(device,
strided_slice_qaunt8_10::createTestModel,
strided_slice_qaunt8_10::is_ignored,
- strided_slice_qaunt8_10::examples);
+ strided_slice_qaunt8_10::get_examples());
}
TEST_F(ValidationTest, strided_slice_qaunt8_10) {
const Model model = strided_slice_qaunt8_10::createTestModel();
- const std::vector<Request> requests = createRequests(strided_slice_qaunt8_10::examples);
+ const std::vector<Request> requests = createRequests(strided_slice_qaunt8_10::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3509,12 +3509,12 @@
generated_tests::Execute(device,
strided_slice_qaunt8_11::createTestModel,
strided_slice_qaunt8_11::is_ignored,
- strided_slice_qaunt8_11::examples);
+ strided_slice_qaunt8_11::get_examples());
}
TEST_F(ValidationTest, strided_slice_qaunt8_11) {
const Model model = strided_slice_qaunt8_11::createTestModel();
- const std::vector<Request> requests = createRequests(strided_slice_qaunt8_11::examples);
+ const std::vector<Request> requests = createRequests(strided_slice_qaunt8_11::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3532,12 +3532,12 @@
generated_tests::Execute(device,
strided_slice_quant8_1::createTestModel,
strided_slice_quant8_1::is_ignored,
- strided_slice_quant8_1::examples);
+ strided_slice_quant8_1::get_examples());
}
TEST_F(ValidationTest, strided_slice_quant8_1) {
const Model model = strided_slice_quant8_1::createTestModel();
- const std::vector<Request> requests = createRequests(strided_slice_quant8_1::examples);
+ const std::vector<Request> requests = createRequests(strided_slice_quant8_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3555,12 +3555,12 @@
generated_tests::Execute(device,
strided_slice_quant8_2::createTestModel,
strided_slice_quant8_2::is_ignored,
- strided_slice_quant8_2::examples);
+ strided_slice_quant8_2::get_examples());
}
TEST_F(ValidationTest, strided_slice_quant8_2) {
const Model model = strided_slice_quant8_2::createTestModel();
- const std::vector<Request> requests = createRequests(strided_slice_quant8_2::examples);
+ const std::vector<Request> requests = createRequests(strided_slice_quant8_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3578,12 +3578,12 @@
generated_tests::Execute(device,
strided_slice_quant8_3::createTestModel,
strided_slice_quant8_3::is_ignored,
- strided_slice_quant8_3::examples);
+ strided_slice_quant8_3::get_examples());
}
TEST_F(ValidationTest, strided_slice_quant8_3) {
const Model model = strided_slice_quant8_3::createTestModel();
- const std::vector<Request> requests = createRequests(strided_slice_quant8_3::examples);
+ const std::vector<Request> requests = createRequests(strided_slice_quant8_3::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3601,12 +3601,12 @@
generated_tests::Execute(device,
strided_slice_quant8_4::createTestModel,
strided_slice_quant8_4::is_ignored,
- strided_slice_quant8_4::examples);
+ strided_slice_quant8_4::get_examples());
}
TEST_F(ValidationTest, strided_slice_quant8_4) {
const Model model = strided_slice_quant8_4::createTestModel();
- const std::vector<Request> requests = createRequests(strided_slice_quant8_4::examples);
+ const std::vector<Request> requests = createRequests(strided_slice_quant8_4::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3624,12 +3624,12 @@
generated_tests::Execute(device,
strided_slice_quant8_5::createTestModel,
strided_slice_quant8_5::is_ignored,
- strided_slice_quant8_5::examples);
+ strided_slice_quant8_5::get_examples());
}
TEST_F(ValidationTest, strided_slice_quant8_5) {
const Model model = strided_slice_quant8_5::createTestModel();
- const std::vector<Request> requests = createRequests(strided_slice_quant8_5::examples);
+ const std::vector<Request> requests = createRequests(strided_slice_quant8_5::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3647,12 +3647,12 @@
generated_tests::Execute(device,
strided_slice_quant8_6::createTestModel,
strided_slice_quant8_6::is_ignored,
- strided_slice_quant8_6::examples);
+ strided_slice_quant8_6::get_examples());
}
TEST_F(ValidationTest, strided_slice_quant8_6) {
const Model model = strided_slice_quant8_6::createTestModel();
- const std::vector<Request> requests = createRequests(strided_slice_quant8_6::examples);
+ const std::vector<Request> requests = createRequests(strided_slice_quant8_6::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3670,12 +3670,12 @@
generated_tests::Execute(device,
strided_slice_quant8_7::createTestModel,
strided_slice_quant8_7::is_ignored,
- strided_slice_quant8_7::examples);
+ strided_slice_quant8_7::get_examples());
}
TEST_F(ValidationTest, strided_slice_quant8_7) {
const Model model = strided_slice_quant8_7::createTestModel();
- const std::vector<Request> requests = createRequests(strided_slice_quant8_7::examples);
+ const std::vector<Request> requests = createRequests(strided_slice_quant8_7::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3693,12 +3693,12 @@
generated_tests::Execute(device,
strided_slice_quant8_8::createTestModel,
strided_slice_quant8_8::is_ignored,
- strided_slice_quant8_8::examples);
+ strided_slice_quant8_8::get_examples());
}
TEST_F(ValidationTest, strided_slice_quant8_8) {
const Model model = strided_slice_quant8_8::createTestModel();
- const std::vector<Request> requests = createRequests(strided_slice_quant8_8::examples);
+ const std::vector<Request> requests = createRequests(strided_slice_quant8_8::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3716,12 +3716,12 @@
generated_tests::Execute(device,
strided_slice_quant8_9::createTestModel,
strided_slice_quant8_9::is_ignored,
- strided_slice_quant8_9::examples);
+ strided_slice_quant8_9::get_examples());
}
TEST_F(ValidationTest, strided_slice_quant8_9) {
const Model model = strided_slice_quant8_9::createTestModel();
- const std::vector<Request> requests = createRequests(strided_slice_quant8_9::examples);
+ const std::vector<Request> requests = createRequests(strided_slice_quant8_9::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3739,12 +3739,12 @@
generated_tests::Execute(device,
strided_slice_relaxed::createTestModel,
strided_slice_relaxed::is_ignored,
- strided_slice_relaxed::examples);
+ strided_slice_relaxed::get_examples());
}
TEST_F(ValidationTest, strided_slice_relaxed) {
const Model model = strided_slice_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(strided_slice_relaxed::examples);
+ const std::vector<Request> requests = createRequests(strided_slice_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3762,12 +3762,12 @@
generated_tests::Execute(device,
sub::createTestModel,
sub::is_ignored,
- sub::examples);
+ sub::get_examples());
}
TEST_F(ValidationTest, sub) {
const Model model = sub::createTestModel();
- const std::vector<Request> requests = createRequests(sub::examples);
+ const std::vector<Request> requests = createRequests(sub::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3785,12 +3785,12 @@
generated_tests::Execute(device,
sub_broadcast_float::createTestModel,
sub_broadcast_float::is_ignored,
- sub_broadcast_float::examples);
+ sub_broadcast_float::get_examples());
}
TEST_F(ValidationTest, sub_broadcast_float) {
const Model model = sub_broadcast_float::createTestModel();
- const std::vector<Request> requests = createRequests(sub_broadcast_float::examples);
+ const std::vector<Request> requests = createRequests(sub_broadcast_float::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3808,12 +3808,12 @@
generated_tests::Execute(device,
sub_broadcast_float_relaxed::createTestModel,
sub_broadcast_float_relaxed::is_ignored,
- sub_broadcast_float_relaxed::examples);
+ sub_broadcast_float_relaxed::get_examples());
}
TEST_F(ValidationTest, sub_broadcast_float_relaxed) {
const Model model = sub_broadcast_float_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(sub_broadcast_float_relaxed::examples);
+ const std::vector<Request> requests = createRequests(sub_broadcast_float_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3831,12 +3831,12 @@
generated_tests::Execute(device,
sub_relaxed::createTestModel,
sub_relaxed::is_ignored,
- sub_relaxed::examples);
+ sub_relaxed::get_examples());
}
TEST_F(ValidationTest, sub_relaxed) {
const Model model = sub_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(sub_relaxed::examples);
+ const std::vector<Request> requests = createRequests(sub_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3854,12 +3854,12 @@
generated_tests::Execute(device,
svdf2_relaxed::createTestModel,
svdf2_relaxed::is_ignored,
- svdf2_relaxed::examples);
+ svdf2_relaxed::get_examples());
}
TEST_F(ValidationTest, svdf2_relaxed) {
const Model model = svdf2_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(svdf2_relaxed::examples);
+ const std::vector<Request> requests = createRequests(svdf2_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3877,12 +3877,12 @@
generated_tests::Execute(device,
svdf_relaxed::createTestModel,
svdf_relaxed::is_ignored,
- svdf_relaxed::examples);
+ svdf_relaxed::get_examples());
}
TEST_F(ValidationTest, svdf_relaxed) {
const Model model = svdf_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(svdf_relaxed::examples);
+ const std::vector<Request> requests = createRequests(svdf_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3900,12 +3900,12 @@
generated_tests::Execute(device,
svdf_state_relaxed::createTestModel,
svdf_state_relaxed::is_ignored,
- svdf_state_relaxed::examples);
+ svdf_state_relaxed::get_examples());
}
TEST_F(ValidationTest, svdf_state_relaxed) {
const Model model = svdf_state_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(svdf_state_relaxed::examples);
+ const std::vector<Request> requests = createRequests(svdf_state_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3923,12 +3923,12 @@
generated_tests::Execute(device,
tanh_relaxed::createTestModel,
tanh_relaxed::is_ignored,
- tanh_relaxed::examples);
+ tanh_relaxed::get_examples());
}
TEST_F(ValidationTest, tanh_relaxed) {
const Model model = tanh_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(tanh_relaxed::examples);
+ const std::vector<Request> requests = createRequests(tanh_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3946,12 +3946,12 @@
generated_tests::Execute(device,
transpose::createTestModel,
transpose::is_ignored,
- transpose::examples);
+ transpose::get_examples());
}
TEST_F(ValidationTest, transpose) {
const Model model = transpose::createTestModel();
- const std::vector<Request> requests = createRequests(transpose::examples);
+ const std::vector<Request> requests = createRequests(transpose::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3969,12 +3969,12 @@
generated_tests::Execute(device,
transpose_float_1::createTestModel,
transpose_float_1::is_ignored,
- transpose_float_1::examples);
+ transpose_float_1::get_examples());
}
TEST_F(ValidationTest, transpose_float_1) {
const Model model = transpose_float_1::createTestModel();
- const std::vector<Request> requests = createRequests(transpose_float_1::examples);
+ const std::vector<Request> requests = createRequests(transpose_float_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -3992,12 +3992,12 @@
generated_tests::Execute(device,
transpose_float_1_relaxed::createTestModel,
transpose_float_1_relaxed::is_ignored,
- transpose_float_1_relaxed::examples);
+ transpose_float_1_relaxed::get_examples());
}
TEST_F(ValidationTest, transpose_float_1_relaxed) {
const Model model = transpose_float_1_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(transpose_float_1_relaxed::examples);
+ const std::vector<Request> requests = createRequests(transpose_float_1_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -4015,12 +4015,12 @@
generated_tests::Execute(device,
transpose_quant8_1::createTestModel,
transpose_quant8_1::is_ignored,
- transpose_quant8_1::examples);
+ transpose_quant8_1::get_examples());
}
TEST_F(ValidationTest, transpose_quant8_1) {
const Model model = transpose_quant8_1::createTestModel();
- const std::vector<Request> requests = createRequests(transpose_quant8_1::examples);
+ const std::vector<Request> requests = createRequests(transpose_quant8_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -4038,12 +4038,12 @@
generated_tests::Execute(device,
transpose_relaxed::createTestModel,
transpose_relaxed::is_ignored,
- transpose_relaxed::examples);
+ transpose_relaxed::get_examples());
}
TEST_F(ValidationTest, transpose_relaxed) {
const Model model = transpose_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(transpose_relaxed::examples);
+ const std::vector<Request> requests = createRequests(transpose_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
diff --git a/nn/runtime/test/generated/all_generated_V1_2_vts_tests.cpp b/nn/runtime/test/generated/all_generated_V1_2_vts_tests.cpp
index 6c53f91..08a8028 100644
--- a/nn/runtime/test/generated/all_generated_V1_2_vts_tests.cpp
+++ b/nn/runtime/test/generated/all_generated_V1_2_vts_tests.cpp
@@ -1,6 +1,59 @@
// clang-format off
// DO NOT EDIT;
// Generated by ml/nn/runtime/test/specs/generate_vts_test.sh
+// Generated from: abs.mod.py.
+namespace abs {
+// Generated abs test
+#include "examples/abs.example.cpp"
+// Generated model constructor
+#include "vts_models/abs.model.cpp"
+} // namespace abs
+
+TEST_F(NeuralnetworksHidlTest, abs) {
+ generated_tests::Execute(device,
+ abs::createTestModel,
+ abs::is_ignored,
+ abs::get_examples());
+}
+
+TEST_F(ValidationTest, abs) {
+ const Model model = abs::createTestModel();
+ const std::vector<Request> requests = createRequests(abs::get_examples());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, abs_relaxed) {
+ generated_tests::Execute(device,
+ abs::createTestModel_relaxed,
+ abs::is_ignored_relaxed,
+ abs::get_examples_relaxed());
+}
+
+TEST_F(ValidationTest, abs_relaxed) {
+ const Model model = abs::createTestModel_relaxed();
+ const std::vector<Request> requests = createRequests(abs::get_examples_relaxed());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, abs_float16) {
+ generated_tests::Execute(device,
+ abs::createTestModel_float16,
+ abs::is_ignored_float16,
+ abs::get_examples_float16());
+}
+
+TEST_F(ValidationTest, abs_float16) {
+ const Model model = abs::createTestModel_float16();
+ const std::vector<Request> requests = createRequests(abs::get_examples_float16());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
// Generated from: add_broadcast_float16.mod.py.
namespace add_broadcast_float16 {
// Generated add_broadcast_float16 test
@@ -13,12 +66,12 @@
generated_tests::Execute(device,
add_broadcast_float16::createTestModel,
add_broadcast_float16::is_ignored,
- add_broadcast_float16::examples);
+ add_broadcast_float16::get_examples());
}
TEST_F(ValidationTest, add_broadcast_float16) {
const Model model = add_broadcast_float16::createTestModel();
- const std::vector<Request> requests = createRequests(add_broadcast_float16::examples);
+ const std::vector<Request> requests = createRequests(add_broadcast_float16::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -36,426 +89,510 @@
generated_tests::Execute(device,
add_float16::createTestModel,
add_float16::is_ignored,
- add_float16::examples);
+ add_float16::get_examples());
}
TEST_F(ValidationTest, add_float16) {
const Model model = add_float16::createTestModel();
- const std::vector<Request> requests = createRequests(add_float16::examples);
+ const std::vector<Request> requests = createRequests(add_float16::get_examples());
validateModel(model);
validateRequests(model, requests);
}
-// Generated from: argmax_1_float.mod.py.
-namespace argmax_1_float {
-// Generated argmax_1_float test
-#include "examples/argmax_1_float.example.cpp"
+// Generated from: argmax_1.mod.py.
+namespace argmax_1 {
+// Generated argmax_1 test
+#include "examples/argmax_1.example.cpp"
// Generated model constructor
-#include "vts_models/argmax_1_float.model.cpp"
-} // namespace argmax_1_float
+#include "vts_models/argmax_1.model.cpp"
+} // namespace argmax_1
-TEST_F(NeuralnetworksHidlTest, argmax_1_float) {
+TEST_F(NeuralnetworksHidlTest, argmax_1) {
generated_tests::Execute(device,
- argmax_1_float::createTestModel,
- argmax_1_float::is_ignored,
- argmax_1_float::examples);
+ argmax_1::createTestModel,
+ argmax_1::is_ignored,
+ argmax_1::get_examples());
}
-TEST_F(ValidationTest, argmax_1_float) {
- const Model model = argmax_1_float::createTestModel();
- const std::vector<Request> requests = createRequests(argmax_1_float::examples);
+TEST_F(ValidationTest, argmax_1) {
+ const Model model = argmax_1::createTestModel();
+ const std::vector<Request> requests = createRequests(argmax_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
-// Generated from: argmax_1_float_relaxed.mod.py.
-namespace argmax_1_float_relaxed {
-// Generated argmax_1_float_relaxed test
-#include "examples/argmax_1_float_relaxed.example.cpp"
-// Generated model constructor
-#include "vts_models/argmax_1_float_relaxed.model.cpp"
-} // namespace argmax_1_float_relaxed
-
-TEST_F(NeuralnetworksHidlTest, argmax_1_float_relaxed) {
+TEST_F(NeuralnetworksHidlTest, argmax_1_relaxed) {
generated_tests::Execute(device,
- argmax_1_float_relaxed::createTestModel,
- argmax_1_float_relaxed::is_ignored,
- argmax_1_float_relaxed::examples);
+ argmax_1::createTestModel_relaxed,
+ argmax_1::is_ignored_relaxed,
+ argmax_1::get_examples_relaxed());
}
-TEST_F(ValidationTest, argmax_1_float_relaxed) {
- const Model model = argmax_1_float_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(argmax_1_float_relaxed::examples);
+TEST_F(ValidationTest, argmax_1_relaxed) {
+ const Model model = argmax_1::createTestModel_relaxed();
+ const std::vector<Request> requests = createRequests(argmax_1::get_examples_relaxed());
validateModel(model);
validateRequests(model, requests);
}
-// Generated from: argmax_1_int32.mod.py.
-namespace argmax_1_int32 {
-// Generated argmax_1_int32 test
-#include "examples/argmax_1_int32.example.cpp"
-// Generated model constructor
-#include "vts_models/argmax_1_int32.model.cpp"
-} // namespace argmax_1_int32
+TEST_F(NeuralnetworksHidlTest, argmax_1_float16) {
+ generated_tests::Execute(device,
+ argmax_1::createTestModel_float16,
+ argmax_1::is_ignored_float16,
+ argmax_1::get_examples_float16());
+}
+
+TEST_F(ValidationTest, argmax_1_float16) {
+ const Model model = argmax_1::createTestModel_float16();
+ const std::vector<Request> requests = createRequests(argmax_1::get_examples_float16());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
TEST_F(NeuralnetworksHidlTest, argmax_1_int32) {
generated_tests::Execute(device,
- argmax_1_int32::createTestModel,
- argmax_1_int32::is_ignored,
- argmax_1_int32::examples);
+ argmax_1::createTestModel_int32,
+ argmax_1::is_ignored_int32,
+ argmax_1::get_examples_int32());
}
TEST_F(ValidationTest, argmax_1_int32) {
- const Model model = argmax_1_int32::createTestModel();
- const std::vector<Request> requests = createRequests(argmax_1_int32::examples);
+ const Model model = argmax_1::createTestModel_int32();
+ const std::vector<Request> requests = createRequests(argmax_1::get_examples_int32());
validateModel(model);
validateRequests(model, requests);
}
-// Generated from: argmax_1_quant8.mod.py.
-namespace argmax_1_quant8 {
-// Generated argmax_1_quant8 test
-#include "examples/argmax_1_quant8.example.cpp"
-// Generated model constructor
-#include "vts_models/argmax_1_quant8.model.cpp"
-} // namespace argmax_1_quant8
-
TEST_F(NeuralnetworksHidlTest, argmax_1_quant8) {
generated_tests::Execute(device,
- argmax_1_quant8::createTestModel,
- argmax_1_quant8::is_ignored,
- argmax_1_quant8::examples);
+ argmax_1::createTestModel_quant8,
+ argmax_1::is_ignored_quant8,
+ argmax_1::get_examples_quant8());
}
TEST_F(ValidationTest, argmax_1_quant8) {
- const Model model = argmax_1_quant8::createTestModel();
- const std::vector<Request> requests = createRequests(argmax_1_quant8::examples);
+ const Model model = argmax_1::createTestModel_quant8();
+ const std::vector<Request> requests = createRequests(argmax_1::get_examples_quant8());
validateModel(model);
validateRequests(model, requests);
}
-// Generated from: argmax_2_float.mod.py.
-namespace argmax_2_float {
-// Generated argmax_2_float test
-#include "examples/argmax_2_float.example.cpp"
+// Generated from: argmax_2.mod.py.
+namespace argmax_2 {
+// Generated argmax_2 test
+#include "examples/argmax_2.example.cpp"
// Generated model constructor
-#include "vts_models/argmax_2_float.model.cpp"
-} // namespace argmax_2_float
+#include "vts_models/argmax_2.model.cpp"
+} // namespace argmax_2
-TEST_F(NeuralnetworksHidlTest, argmax_2_float) {
+TEST_F(NeuralnetworksHidlTest, argmax_2) {
generated_tests::Execute(device,
- argmax_2_float::createTestModel,
- argmax_2_float::is_ignored,
- argmax_2_float::examples);
+ argmax_2::createTestModel,
+ argmax_2::is_ignored,
+ argmax_2::get_examples());
}
-TEST_F(ValidationTest, argmax_2_float) {
- const Model model = argmax_2_float::createTestModel();
- const std::vector<Request> requests = createRequests(argmax_2_float::examples);
+TEST_F(ValidationTest, argmax_2) {
+ const Model model = argmax_2::createTestModel();
+ const std::vector<Request> requests = createRequests(argmax_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
-// Generated from: argmax_2_float_relaxed.mod.py.
-namespace argmax_2_float_relaxed {
-// Generated argmax_2_float_relaxed test
-#include "examples/argmax_2_float_relaxed.example.cpp"
-// Generated model constructor
-#include "vts_models/argmax_2_float_relaxed.model.cpp"
-} // namespace argmax_2_float_relaxed
-
-TEST_F(NeuralnetworksHidlTest, argmax_2_float_relaxed) {
+TEST_F(NeuralnetworksHidlTest, argmax_2_relaxed) {
generated_tests::Execute(device,
- argmax_2_float_relaxed::createTestModel,
- argmax_2_float_relaxed::is_ignored,
- argmax_2_float_relaxed::examples);
+ argmax_2::createTestModel_relaxed,
+ argmax_2::is_ignored_relaxed,
+ argmax_2::get_examples_relaxed());
}
-TEST_F(ValidationTest, argmax_2_float_relaxed) {
- const Model model = argmax_2_float_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(argmax_2_float_relaxed::examples);
+TEST_F(ValidationTest, argmax_2_relaxed) {
+ const Model model = argmax_2::createTestModel_relaxed();
+ const std::vector<Request> requests = createRequests(argmax_2::get_examples_relaxed());
validateModel(model);
validateRequests(model, requests);
}
-// Generated from: argmax_2_int32.mod.py.
-namespace argmax_2_int32 {
-// Generated argmax_2_int32 test
-#include "examples/argmax_2_int32.example.cpp"
-// Generated model constructor
-#include "vts_models/argmax_2_int32.model.cpp"
-} // namespace argmax_2_int32
+TEST_F(NeuralnetworksHidlTest, argmax_2_float16) {
+ generated_tests::Execute(device,
+ argmax_2::createTestModel_float16,
+ argmax_2::is_ignored_float16,
+ argmax_2::get_examples_float16());
+}
+
+TEST_F(ValidationTest, argmax_2_float16) {
+ const Model model = argmax_2::createTestModel_float16();
+ const std::vector<Request> requests = createRequests(argmax_2::get_examples_float16());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
TEST_F(NeuralnetworksHidlTest, argmax_2_int32) {
generated_tests::Execute(device,
- argmax_2_int32::createTestModel,
- argmax_2_int32::is_ignored,
- argmax_2_int32::examples);
+ argmax_2::createTestModel_int32,
+ argmax_2::is_ignored_int32,
+ argmax_2::get_examples_int32());
}
TEST_F(ValidationTest, argmax_2_int32) {
- const Model model = argmax_2_int32::createTestModel();
- const std::vector<Request> requests = createRequests(argmax_2_int32::examples);
+ const Model model = argmax_2::createTestModel_int32();
+ const std::vector<Request> requests = createRequests(argmax_2::get_examples_int32());
validateModel(model);
validateRequests(model, requests);
}
-// Generated from: argmax_2_quant8.mod.py.
-namespace argmax_2_quant8 {
-// Generated argmax_2_quant8 test
-#include "examples/argmax_2_quant8.example.cpp"
-// Generated model constructor
-#include "vts_models/argmax_2_quant8.model.cpp"
-} // namespace argmax_2_quant8
-
TEST_F(NeuralnetworksHidlTest, argmax_2_quant8) {
generated_tests::Execute(device,
- argmax_2_quant8::createTestModel,
- argmax_2_quant8::is_ignored,
- argmax_2_quant8::examples);
+ argmax_2::createTestModel_quant8,
+ argmax_2::is_ignored_quant8,
+ argmax_2::get_examples_quant8());
}
TEST_F(ValidationTest, argmax_2_quant8) {
- const Model model = argmax_2_quant8::createTestModel();
- const std::vector<Request> requests = createRequests(argmax_2_quant8::examples);
+ const Model model = argmax_2::createTestModel_quant8();
+ const std::vector<Request> requests = createRequests(argmax_2::get_examples_quant8());
validateModel(model);
validateRequests(model, requests);
}
-// Generated from: argmax_3_float.mod.py.
-namespace argmax_3_float {
-// Generated argmax_3_float test
-#include "examples/argmax_3_float.example.cpp"
+// Generated from: argmax_3.mod.py.
+namespace argmax_3 {
+// Generated argmax_3 test
+#include "examples/argmax_3.example.cpp"
// Generated model constructor
-#include "vts_models/argmax_3_float.model.cpp"
-} // namespace argmax_3_float
+#include "vts_models/argmax_3.model.cpp"
+} // namespace argmax_3
-TEST_F(NeuralnetworksHidlTest, argmax_3_float) {
+TEST_F(NeuralnetworksHidlTest, argmax_3) {
generated_tests::Execute(device,
- argmax_3_float::createTestModel,
- argmax_3_float::is_ignored,
- argmax_3_float::examples);
+ argmax_3::createTestModel,
+ argmax_3::is_ignored,
+ argmax_3::get_examples());
}
-TEST_F(ValidationTest, argmax_3_float) {
- const Model model = argmax_3_float::createTestModel();
- const std::vector<Request> requests = createRequests(argmax_3_float::examples);
+TEST_F(ValidationTest, argmax_3) {
+ const Model model = argmax_3::createTestModel();
+ const std::vector<Request> requests = createRequests(argmax_3::get_examples());
validateModel(model);
validateRequests(model, requests);
}
-// Generated from: argmin_1_float.mod.py.
-namespace argmin_1_float {
-// Generated argmin_1_float test
-#include "examples/argmin_1_float.example.cpp"
-// Generated model constructor
-#include "vts_models/argmin_1_float.model.cpp"
-} // namespace argmin_1_float
-
-TEST_F(NeuralnetworksHidlTest, argmin_1_float) {
+TEST_F(NeuralnetworksHidlTest, argmax_3_relaxed) {
generated_tests::Execute(device,
- argmin_1_float::createTestModel,
- argmin_1_float::is_ignored,
- argmin_1_float::examples);
+ argmax_3::createTestModel_relaxed,
+ argmax_3::is_ignored_relaxed,
+ argmax_3::get_examples_relaxed());
}
-TEST_F(ValidationTest, argmin_1_float) {
- const Model model = argmin_1_float::createTestModel();
- const std::vector<Request> requests = createRequests(argmin_1_float::examples);
+TEST_F(ValidationTest, argmax_3_relaxed) {
+ const Model model = argmax_3::createTestModel_relaxed();
+ const std::vector<Request> requests = createRequests(argmax_3::get_examples_relaxed());
validateModel(model);
validateRequests(model, requests);
}
-// Generated from: argmin_1_float_relaxed.mod.py.
-namespace argmin_1_float_relaxed {
-// Generated argmin_1_float_relaxed test
-#include "examples/argmin_1_float_relaxed.example.cpp"
-// Generated model constructor
-#include "vts_models/argmin_1_float_relaxed.model.cpp"
-} // namespace argmin_1_float_relaxed
-
-TEST_F(NeuralnetworksHidlTest, argmin_1_float_relaxed) {
+TEST_F(NeuralnetworksHidlTest, argmax_3_float16) {
generated_tests::Execute(device,
- argmin_1_float_relaxed::createTestModel,
- argmin_1_float_relaxed::is_ignored,
- argmin_1_float_relaxed::examples);
+ argmax_3::createTestModel_float16,
+ argmax_3::is_ignored_float16,
+ argmax_3::get_examples_float16());
}
-TEST_F(ValidationTest, argmin_1_float_relaxed) {
- const Model model = argmin_1_float_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(argmin_1_float_relaxed::examples);
+TEST_F(ValidationTest, argmax_3_float16) {
+ const Model model = argmax_3::createTestModel_float16();
+ const std::vector<Request> requests = createRequests(argmax_3::get_examples_float16());
validateModel(model);
validateRequests(model, requests);
}
-// Generated from: argmin_1_int32.mod.py.
-namespace argmin_1_int32 {
-// Generated argmin_1_int32 test
-#include "examples/argmin_1_int32.example.cpp"
+TEST_F(NeuralnetworksHidlTest, argmax_3_int32) {
+ generated_tests::Execute(device,
+ argmax_3::createTestModel_int32,
+ argmax_3::is_ignored_int32,
+ argmax_3::get_examples_int32());
+}
+
+TEST_F(ValidationTest, argmax_3_int32) {
+ const Model model = argmax_3::createTestModel_int32();
+ const std::vector<Request> requests = createRequests(argmax_3::get_examples_int32());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, argmax_3_quant8) {
+ generated_tests::Execute(device,
+ argmax_3::createTestModel_quant8,
+ argmax_3::is_ignored_quant8,
+ argmax_3::get_examples_quant8());
+}
+
+TEST_F(ValidationTest, argmax_3_quant8) {
+ const Model model = argmax_3::createTestModel_quant8();
+ const std::vector<Request> requests = createRequests(argmax_3::get_examples_quant8());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+// Generated from: argmin_1.mod.py.
+namespace argmin_1 {
+// Generated argmin_1 test
+#include "examples/argmin_1.example.cpp"
// Generated model constructor
-#include "vts_models/argmin_1_int32.model.cpp"
-} // namespace argmin_1_int32
+#include "vts_models/argmin_1.model.cpp"
+} // namespace argmin_1
+
+TEST_F(NeuralnetworksHidlTest, argmin_1) {
+ generated_tests::Execute(device,
+ argmin_1::createTestModel,
+ argmin_1::is_ignored,
+ argmin_1::get_examples());
+}
+
+TEST_F(ValidationTest, argmin_1) {
+ const Model model = argmin_1::createTestModel();
+ const std::vector<Request> requests = createRequests(argmin_1::get_examples());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, argmin_1_relaxed) {
+ generated_tests::Execute(device,
+ argmin_1::createTestModel_relaxed,
+ argmin_1::is_ignored_relaxed,
+ argmin_1::get_examples_relaxed());
+}
+
+TEST_F(ValidationTest, argmin_1_relaxed) {
+ const Model model = argmin_1::createTestModel_relaxed();
+ const std::vector<Request> requests = createRequests(argmin_1::get_examples_relaxed());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, argmin_1_float16) {
+ generated_tests::Execute(device,
+ argmin_1::createTestModel_float16,
+ argmin_1::is_ignored_float16,
+ argmin_1::get_examples_float16());
+}
+
+TEST_F(ValidationTest, argmin_1_float16) {
+ const Model model = argmin_1::createTestModel_float16();
+ const std::vector<Request> requests = createRequests(argmin_1::get_examples_float16());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
TEST_F(NeuralnetworksHidlTest, argmin_1_int32) {
generated_tests::Execute(device,
- argmin_1_int32::createTestModel,
- argmin_1_int32::is_ignored,
- argmin_1_int32::examples);
+ argmin_1::createTestModel_int32,
+ argmin_1::is_ignored_int32,
+ argmin_1::get_examples_int32());
}
TEST_F(ValidationTest, argmin_1_int32) {
- const Model model = argmin_1_int32::createTestModel();
- const std::vector<Request> requests = createRequests(argmin_1_int32::examples);
+ const Model model = argmin_1::createTestModel_int32();
+ const std::vector<Request> requests = createRequests(argmin_1::get_examples_int32());
validateModel(model);
validateRequests(model, requests);
}
-// Generated from: argmin_1_quant8.mod.py.
-namespace argmin_1_quant8 {
-// Generated argmin_1_quant8 test
-#include "examples/argmin_1_quant8.example.cpp"
-// Generated model constructor
-#include "vts_models/argmin_1_quant8.model.cpp"
-} // namespace argmin_1_quant8
-
TEST_F(NeuralnetworksHidlTest, argmin_1_quant8) {
generated_tests::Execute(device,
- argmin_1_quant8::createTestModel,
- argmin_1_quant8::is_ignored,
- argmin_1_quant8::examples);
+ argmin_1::createTestModel_quant8,
+ argmin_1::is_ignored_quant8,
+ argmin_1::get_examples_quant8());
}
TEST_F(ValidationTest, argmin_1_quant8) {
- const Model model = argmin_1_quant8::createTestModel();
- const std::vector<Request> requests = createRequests(argmin_1_quant8::examples);
+ const Model model = argmin_1::createTestModel_quant8();
+ const std::vector<Request> requests = createRequests(argmin_1::get_examples_quant8());
validateModel(model);
validateRequests(model, requests);
}
-// Generated from: argmin_2_float.mod.py.
-namespace argmin_2_float {
-// Generated argmin_2_float test
-#include "examples/argmin_2_float.example.cpp"
+// Generated from: argmin_2.mod.py.
+namespace argmin_2 {
+// Generated argmin_2 test
+#include "examples/argmin_2.example.cpp"
// Generated model constructor
-#include "vts_models/argmin_2_float.model.cpp"
-} // namespace argmin_2_float
+#include "vts_models/argmin_2.model.cpp"
+} // namespace argmin_2
-TEST_F(NeuralnetworksHidlTest, argmin_2_float) {
+TEST_F(NeuralnetworksHidlTest, argmin_2) {
generated_tests::Execute(device,
- argmin_2_float::createTestModel,
- argmin_2_float::is_ignored,
- argmin_2_float::examples);
+ argmin_2::createTestModel,
+ argmin_2::is_ignored,
+ argmin_2::get_examples());
}
-TEST_F(ValidationTest, argmin_2_float) {
- const Model model = argmin_2_float::createTestModel();
- const std::vector<Request> requests = createRequests(argmin_2_float::examples);
+TEST_F(ValidationTest, argmin_2) {
+ const Model model = argmin_2::createTestModel();
+ const std::vector<Request> requests = createRequests(argmin_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
-// Generated from: argmin_2_float_relaxed.mod.py.
-namespace argmin_2_float_relaxed {
-// Generated argmin_2_float_relaxed test
-#include "examples/argmin_2_float_relaxed.example.cpp"
-// Generated model constructor
-#include "vts_models/argmin_2_float_relaxed.model.cpp"
-} // namespace argmin_2_float_relaxed
-
-TEST_F(NeuralnetworksHidlTest, argmin_2_float_relaxed) {
+TEST_F(NeuralnetworksHidlTest, argmin_2_relaxed) {
generated_tests::Execute(device,
- argmin_2_float_relaxed::createTestModel,
- argmin_2_float_relaxed::is_ignored,
- argmin_2_float_relaxed::examples);
+ argmin_2::createTestModel_relaxed,
+ argmin_2::is_ignored_relaxed,
+ argmin_2::get_examples_relaxed());
}
-TEST_F(ValidationTest, argmin_2_float_relaxed) {
- const Model model = argmin_2_float_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(argmin_2_float_relaxed::examples);
+TEST_F(ValidationTest, argmin_2_relaxed) {
+ const Model model = argmin_2::createTestModel_relaxed();
+ const std::vector<Request> requests = createRequests(argmin_2::get_examples_relaxed());
validateModel(model);
validateRequests(model, requests);
}
-// Generated from: argmin_2_int32.mod.py.
-namespace argmin_2_int32 {
-// Generated argmin_2_int32 test
-#include "examples/argmin_2_int32.example.cpp"
-// Generated model constructor
-#include "vts_models/argmin_2_int32.model.cpp"
-} // namespace argmin_2_int32
+TEST_F(NeuralnetworksHidlTest, argmin_2_float16) {
+ generated_tests::Execute(device,
+ argmin_2::createTestModel_float16,
+ argmin_2::is_ignored_float16,
+ argmin_2::get_examples_float16());
+}
+
+TEST_F(ValidationTest, argmin_2_float16) {
+ const Model model = argmin_2::createTestModel_float16();
+ const std::vector<Request> requests = createRequests(argmin_2::get_examples_float16());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
TEST_F(NeuralnetworksHidlTest, argmin_2_int32) {
generated_tests::Execute(device,
- argmin_2_int32::createTestModel,
- argmin_2_int32::is_ignored,
- argmin_2_int32::examples);
+ argmin_2::createTestModel_int32,
+ argmin_2::is_ignored_int32,
+ argmin_2::get_examples_int32());
}
TEST_F(ValidationTest, argmin_2_int32) {
- const Model model = argmin_2_int32::createTestModel();
- const std::vector<Request> requests = createRequests(argmin_2_int32::examples);
+ const Model model = argmin_2::createTestModel_int32();
+ const std::vector<Request> requests = createRequests(argmin_2::get_examples_int32());
validateModel(model);
validateRequests(model, requests);
}
-// Generated from: argmin_2_quant8.mod.py.
-namespace argmin_2_quant8 {
-// Generated argmin_2_quant8 test
-#include "examples/argmin_2_quant8.example.cpp"
-// Generated model constructor
-#include "vts_models/argmin_2_quant8.model.cpp"
-} // namespace argmin_2_quant8
-
TEST_F(NeuralnetworksHidlTest, argmin_2_quant8) {
generated_tests::Execute(device,
- argmin_2_quant8::createTestModel,
- argmin_2_quant8::is_ignored,
- argmin_2_quant8::examples);
+ argmin_2::createTestModel_quant8,
+ argmin_2::is_ignored_quant8,
+ argmin_2::get_examples_quant8());
}
TEST_F(ValidationTest, argmin_2_quant8) {
- const Model model = argmin_2_quant8::createTestModel();
- const std::vector<Request> requests = createRequests(argmin_2_quant8::examples);
+ const Model model = argmin_2::createTestModel_quant8();
+ const std::vector<Request> requests = createRequests(argmin_2::get_examples_quant8());
validateModel(model);
validateRequests(model, requests);
}
-// Generated from: argmin_3_float.mod.py.
-namespace argmin_3_float {
-// Generated argmin_3_float test
-#include "examples/argmin_3_float.example.cpp"
+// Generated from: argmin_3.mod.py.
+namespace argmin_3 {
+// Generated argmin_3 test
+#include "examples/argmin_3.example.cpp"
// Generated model constructor
-#include "vts_models/argmin_3_float.model.cpp"
-} // namespace argmin_3_float
+#include "vts_models/argmin_3.model.cpp"
+} // namespace argmin_3
-TEST_F(NeuralnetworksHidlTest, argmin_3_float) {
+TEST_F(NeuralnetworksHidlTest, argmin_3) {
generated_tests::Execute(device,
- argmin_3_float::createTestModel,
- argmin_3_float::is_ignored,
- argmin_3_float::examples);
+ argmin_3::createTestModel,
+ argmin_3::is_ignored,
+ argmin_3::get_examples());
}
-TEST_F(ValidationTest, argmin_3_float) {
- const Model model = argmin_3_float::createTestModel();
- const std::vector<Request> requests = createRequests(argmin_3_float::examples);
+TEST_F(ValidationTest, argmin_3) {
+ const Model model = argmin_3::createTestModel();
+ const std::vector<Request> requests = createRequests(argmin_3::get_examples());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, argmin_3_relaxed) {
+ generated_tests::Execute(device,
+ argmin_3::createTestModel_relaxed,
+ argmin_3::is_ignored_relaxed,
+ argmin_3::get_examples_relaxed());
+}
+
+TEST_F(ValidationTest, argmin_3_relaxed) {
+ const Model model = argmin_3::createTestModel_relaxed();
+ const std::vector<Request> requests = createRequests(argmin_3::get_examples_relaxed());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, argmin_3_float16) {
+ generated_tests::Execute(device,
+ argmin_3::createTestModel_float16,
+ argmin_3::is_ignored_float16,
+ argmin_3::get_examples_float16());
+}
+
+TEST_F(ValidationTest, argmin_3_float16) {
+ const Model model = argmin_3::createTestModel_float16();
+ const std::vector<Request> requests = createRequests(argmin_3::get_examples_float16());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, argmin_3_int32) {
+ generated_tests::Execute(device,
+ argmin_3::createTestModel_int32,
+ argmin_3::is_ignored_int32,
+ argmin_3::get_examples_int32());
+}
+
+TEST_F(ValidationTest, argmin_3_int32) {
+ const Model model = argmin_3::createTestModel_int32();
+ const std::vector<Request> requests = createRequests(argmin_3::get_examples_int32());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, argmin_3_quant8) {
+ generated_tests::Execute(device,
+ argmin_3::createTestModel_quant8,
+ argmin_3::is_ignored_quant8,
+ argmin_3::get_examples_quant8());
+}
+
+TEST_F(ValidationTest, argmin_3_quant8) {
+ const Model model = argmin_3::createTestModel_quant8();
+ const std::vector<Request> requests = createRequests(argmin_3::get_examples_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -473,12 +610,12 @@
generated_tests::Execute(device,
avg_pool_v1_2::createTestModel_nhwc,
avg_pool_v1_2::is_ignored_nhwc,
- avg_pool_v1_2::examples_nhwc);
+ avg_pool_v1_2::get_examples_nhwc());
}
TEST_F(ValidationTest, avg_pool_v1_2_nhwc) {
const Model model = avg_pool_v1_2::createTestModel_nhwc();
- const std::vector<Request> requests = createRequests(avg_pool_v1_2::examples_nhwc);
+ const std::vector<Request> requests = createRequests(avg_pool_v1_2::get_examples_nhwc());
validateModel(model);
validateRequests(model, requests);
}
@@ -488,12 +625,12 @@
generated_tests::Execute(device,
avg_pool_v1_2::createTestModel_nhwc_relaxed,
avg_pool_v1_2::is_ignored_nhwc_relaxed,
- avg_pool_v1_2::examples_nhwc_relaxed);
+ avg_pool_v1_2::get_examples_nhwc_relaxed());
}
TEST_F(ValidationTest, avg_pool_v1_2_nhwc_relaxed) {
const Model model = avg_pool_v1_2::createTestModel_nhwc_relaxed();
- const std::vector<Request> requests = createRequests(avg_pool_v1_2::examples_nhwc_relaxed);
+ const std::vector<Request> requests = createRequests(avg_pool_v1_2::get_examples_nhwc_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -503,12 +640,12 @@
generated_tests::Execute(device,
avg_pool_v1_2::createTestModel_nhwc_quant8,
avg_pool_v1_2::is_ignored_nhwc_quant8,
- avg_pool_v1_2::examples_nhwc_quant8);
+ avg_pool_v1_2::get_examples_nhwc_quant8());
}
TEST_F(ValidationTest, avg_pool_v1_2_nhwc_quant8) {
const Model model = avg_pool_v1_2::createTestModel_nhwc_quant8();
- const std::vector<Request> requests = createRequests(avg_pool_v1_2::examples_nhwc_quant8);
+ const std::vector<Request> requests = createRequests(avg_pool_v1_2::get_examples_nhwc_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -518,12 +655,12 @@
generated_tests::Execute(device,
avg_pool_v1_2::createTestModel_nchw,
avg_pool_v1_2::is_ignored_nchw,
- avg_pool_v1_2::examples_nchw);
+ avg_pool_v1_2::get_examples_nchw());
}
TEST_F(ValidationTest, avg_pool_v1_2_nchw) {
const Model model = avg_pool_v1_2::createTestModel_nchw();
- const std::vector<Request> requests = createRequests(avg_pool_v1_2::examples_nchw);
+ const std::vector<Request> requests = createRequests(avg_pool_v1_2::get_examples_nchw());
validateModel(model);
validateRequests(model, requests);
}
@@ -533,12 +670,12 @@
generated_tests::Execute(device,
avg_pool_v1_2::createTestModel_nchw_relaxed,
avg_pool_v1_2::is_ignored_nchw_relaxed,
- avg_pool_v1_2::examples_nchw_relaxed);
+ avg_pool_v1_2::get_examples_nchw_relaxed());
}
TEST_F(ValidationTest, avg_pool_v1_2_nchw_relaxed) {
const Model model = avg_pool_v1_2::createTestModel_nchw_relaxed();
- const std::vector<Request> requests = createRequests(avg_pool_v1_2::examples_nchw_relaxed);
+ const std::vector<Request> requests = createRequests(avg_pool_v1_2::get_examples_nchw_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -548,12 +685,12 @@
generated_tests::Execute(device,
avg_pool_v1_2::createTestModel_nchw_quant8,
avg_pool_v1_2::is_ignored_nchw_quant8,
- avg_pool_v1_2::examples_nchw_quant8);
+ avg_pool_v1_2::get_examples_nchw_quant8());
}
TEST_F(ValidationTest, avg_pool_v1_2_nchw_quant8) {
const Model model = avg_pool_v1_2::createTestModel_nchw_quant8();
- const std::vector<Request> requests = createRequests(avg_pool_v1_2::examples_nchw_quant8);
+ const std::vector<Request> requests = createRequests(avg_pool_v1_2::get_examples_nchw_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -563,12 +700,12 @@
generated_tests::Execute(device,
avg_pool_v1_2::createTestModel_nhwc_2,
avg_pool_v1_2::is_ignored_nhwc_2,
- avg_pool_v1_2::examples_nhwc_2);
+ avg_pool_v1_2::get_examples_nhwc_2());
}
TEST_F(ValidationTest, avg_pool_v1_2_nhwc_2) {
const Model model = avg_pool_v1_2::createTestModel_nhwc_2();
- const std::vector<Request> requests = createRequests(avg_pool_v1_2::examples_nhwc_2);
+ const std::vector<Request> requests = createRequests(avg_pool_v1_2::get_examples_nhwc_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -578,12 +715,12 @@
generated_tests::Execute(device,
avg_pool_v1_2::createTestModel_nhwc_relaxed_2,
avg_pool_v1_2::is_ignored_nhwc_relaxed_2,
- avg_pool_v1_2::examples_nhwc_relaxed_2);
+ avg_pool_v1_2::get_examples_nhwc_relaxed_2());
}
TEST_F(ValidationTest, avg_pool_v1_2_nhwc_relaxed_2) {
const Model model = avg_pool_v1_2::createTestModel_nhwc_relaxed_2();
- const std::vector<Request> requests = createRequests(avg_pool_v1_2::examples_nhwc_relaxed_2);
+ const std::vector<Request> requests = createRequests(avg_pool_v1_2::get_examples_nhwc_relaxed_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -593,12 +730,12 @@
generated_tests::Execute(device,
avg_pool_v1_2::createTestModel_nhwc_quant8_2,
avg_pool_v1_2::is_ignored_nhwc_quant8_2,
- avg_pool_v1_2::examples_nhwc_quant8_2);
+ avg_pool_v1_2::get_examples_nhwc_quant8_2());
}
TEST_F(ValidationTest, avg_pool_v1_2_nhwc_quant8_2) {
const Model model = avg_pool_v1_2::createTestModel_nhwc_quant8_2();
- const std::vector<Request> requests = createRequests(avg_pool_v1_2::examples_nhwc_quant8_2);
+ const std::vector<Request> requests = createRequests(avg_pool_v1_2::get_examples_nhwc_quant8_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -608,12 +745,12 @@
generated_tests::Execute(device,
avg_pool_v1_2::createTestModel_nchw_2,
avg_pool_v1_2::is_ignored_nchw_2,
- avg_pool_v1_2::examples_nchw_2);
+ avg_pool_v1_2::get_examples_nchw_2());
}
TEST_F(ValidationTest, avg_pool_v1_2_nchw_2) {
const Model model = avg_pool_v1_2::createTestModel_nchw_2();
- const std::vector<Request> requests = createRequests(avg_pool_v1_2::examples_nchw_2);
+ const std::vector<Request> requests = createRequests(avg_pool_v1_2::get_examples_nchw_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -623,12 +760,12 @@
generated_tests::Execute(device,
avg_pool_v1_2::createTestModel_nchw_relaxed_2,
avg_pool_v1_2::is_ignored_nchw_relaxed_2,
- avg_pool_v1_2::examples_nchw_relaxed_2);
+ avg_pool_v1_2::get_examples_nchw_relaxed_2());
}
TEST_F(ValidationTest, avg_pool_v1_2_nchw_relaxed_2) {
const Model model = avg_pool_v1_2::createTestModel_nchw_relaxed_2();
- const std::vector<Request> requests = createRequests(avg_pool_v1_2::examples_nchw_relaxed_2);
+ const std::vector<Request> requests = createRequests(avg_pool_v1_2::get_examples_nchw_relaxed_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -638,12 +775,12 @@
generated_tests::Execute(device,
avg_pool_v1_2::createTestModel_nchw_quant8_2,
avg_pool_v1_2::is_ignored_nchw_quant8_2,
- avg_pool_v1_2::examples_nchw_quant8_2);
+ avg_pool_v1_2::get_examples_nchw_quant8_2());
}
TEST_F(ValidationTest, avg_pool_v1_2_nchw_quant8_2) {
const Model model = avg_pool_v1_2::createTestModel_nchw_quant8_2();
- const std::vector<Request> requests = createRequests(avg_pool_v1_2::examples_nchw_quant8_2);
+ const std::vector<Request> requests = createRequests(avg_pool_v1_2::get_examples_nchw_quant8_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -653,12 +790,12 @@
generated_tests::Execute(device,
avg_pool_v1_2::createTestModel_nhwc_3,
avg_pool_v1_2::is_ignored_nhwc_3,
- avg_pool_v1_2::examples_nhwc_3);
+ avg_pool_v1_2::get_examples_nhwc_3());
}
TEST_F(ValidationTest, avg_pool_v1_2_nhwc_3) {
const Model model = avg_pool_v1_2::createTestModel_nhwc_3();
- const std::vector<Request> requests = createRequests(avg_pool_v1_2::examples_nhwc_3);
+ const std::vector<Request> requests = createRequests(avg_pool_v1_2::get_examples_nhwc_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -668,12 +805,12 @@
generated_tests::Execute(device,
avg_pool_v1_2::createTestModel_nhwc_relaxed_3,
avg_pool_v1_2::is_ignored_nhwc_relaxed_3,
- avg_pool_v1_2::examples_nhwc_relaxed_3);
+ avg_pool_v1_2::get_examples_nhwc_relaxed_3());
}
TEST_F(ValidationTest, avg_pool_v1_2_nhwc_relaxed_3) {
const Model model = avg_pool_v1_2::createTestModel_nhwc_relaxed_3();
- const std::vector<Request> requests = createRequests(avg_pool_v1_2::examples_nhwc_relaxed_3);
+ const std::vector<Request> requests = createRequests(avg_pool_v1_2::get_examples_nhwc_relaxed_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -683,12 +820,12 @@
generated_tests::Execute(device,
avg_pool_v1_2::createTestModel_nhwc_quant8_3,
avg_pool_v1_2::is_ignored_nhwc_quant8_3,
- avg_pool_v1_2::examples_nhwc_quant8_3);
+ avg_pool_v1_2::get_examples_nhwc_quant8_3());
}
TEST_F(ValidationTest, avg_pool_v1_2_nhwc_quant8_3) {
const Model model = avg_pool_v1_2::createTestModel_nhwc_quant8_3();
- const std::vector<Request> requests = createRequests(avg_pool_v1_2::examples_nhwc_quant8_3);
+ const std::vector<Request> requests = createRequests(avg_pool_v1_2::get_examples_nhwc_quant8_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -698,12 +835,12 @@
generated_tests::Execute(device,
avg_pool_v1_2::createTestModel_nchw_3,
avg_pool_v1_2::is_ignored_nchw_3,
- avg_pool_v1_2::examples_nchw_3);
+ avg_pool_v1_2::get_examples_nchw_3());
}
TEST_F(ValidationTest, avg_pool_v1_2_nchw_3) {
const Model model = avg_pool_v1_2::createTestModel_nchw_3();
- const std::vector<Request> requests = createRequests(avg_pool_v1_2::examples_nchw_3);
+ const std::vector<Request> requests = createRequests(avg_pool_v1_2::get_examples_nchw_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -713,12 +850,12 @@
generated_tests::Execute(device,
avg_pool_v1_2::createTestModel_nchw_relaxed_3,
avg_pool_v1_2::is_ignored_nchw_relaxed_3,
- avg_pool_v1_2::examples_nchw_relaxed_3);
+ avg_pool_v1_2::get_examples_nchw_relaxed_3());
}
TEST_F(ValidationTest, avg_pool_v1_2_nchw_relaxed_3) {
const Model model = avg_pool_v1_2::createTestModel_nchw_relaxed_3();
- const std::vector<Request> requests = createRequests(avg_pool_v1_2::examples_nchw_relaxed_3);
+ const std::vector<Request> requests = createRequests(avg_pool_v1_2::get_examples_nchw_relaxed_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -728,12 +865,12 @@
generated_tests::Execute(device,
avg_pool_v1_2::createTestModel_nchw_quant8_3,
avg_pool_v1_2::is_ignored_nchw_quant8_3,
- avg_pool_v1_2::examples_nchw_quant8_3);
+ avg_pool_v1_2::get_examples_nchw_quant8_3());
}
TEST_F(ValidationTest, avg_pool_v1_2_nchw_quant8_3) {
const Model model = avg_pool_v1_2::createTestModel_nchw_quant8_3();
- const std::vector<Request> requests = createRequests(avg_pool_v1_2::examples_nchw_quant8_3);
+ const std::vector<Request> requests = createRequests(avg_pool_v1_2::get_examples_nchw_quant8_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -743,12 +880,12 @@
generated_tests::Execute(device,
avg_pool_v1_2::createTestModel_nhwc_4,
avg_pool_v1_2::is_ignored_nhwc_4,
- avg_pool_v1_2::examples_nhwc_4);
+ avg_pool_v1_2::get_examples_nhwc_4());
}
TEST_F(ValidationTest, avg_pool_v1_2_nhwc_4) {
const Model model = avg_pool_v1_2::createTestModel_nhwc_4();
- const std::vector<Request> requests = createRequests(avg_pool_v1_2::examples_nhwc_4);
+ const std::vector<Request> requests = createRequests(avg_pool_v1_2::get_examples_nhwc_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -758,12 +895,12 @@
generated_tests::Execute(device,
avg_pool_v1_2::createTestModel_nhwc_relaxed_4,
avg_pool_v1_2::is_ignored_nhwc_relaxed_4,
- avg_pool_v1_2::examples_nhwc_relaxed_4);
+ avg_pool_v1_2::get_examples_nhwc_relaxed_4());
}
TEST_F(ValidationTest, avg_pool_v1_2_nhwc_relaxed_4) {
const Model model = avg_pool_v1_2::createTestModel_nhwc_relaxed_4();
- const std::vector<Request> requests = createRequests(avg_pool_v1_2::examples_nhwc_relaxed_4);
+ const std::vector<Request> requests = createRequests(avg_pool_v1_2::get_examples_nhwc_relaxed_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -773,12 +910,12 @@
generated_tests::Execute(device,
avg_pool_v1_2::createTestModel_nhwc_quant8_4,
avg_pool_v1_2::is_ignored_nhwc_quant8_4,
- avg_pool_v1_2::examples_nhwc_quant8_4);
+ avg_pool_v1_2::get_examples_nhwc_quant8_4());
}
TEST_F(ValidationTest, avg_pool_v1_2_nhwc_quant8_4) {
const Model model = avg_pool_v1_2::createTestModel_nhwc_quant8_4();
- const std::vector<Request> requests = createRequests(avg_pool_v1_2::examples_nhwc_quant8_4);
+ const std::vector<Request> requests = createRequests(avg_pool_v1_2::get_examples_nhwc_quant8_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -788,12 +925,12 @@
generated_tests::Execute(device,
avg_pool_v1_2::createTestModel_nchw_4,
avg_pool_v1_2::is_ignored_nchw_4,
- avg_pool_v1_2::examples_nchw_4);
+ avg_pool_v1_2::get_examples_nchw_4());
}
TEST_F(ValidationTest, avg_pool_v1_2_nchw_4) {
const Model model = avg_pool_v1_2::createTestModel_nchw_4();
- const std::vector<Request> requests = createRequests(avg_pool_v1_2::examples_nchw_4);
+ const std::vector<Request> requests = createRequests(avg_pool_v1_2::get_examples_nchw_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -803,12 +940,12 @@
generated_tests::Execute(device,
avg_pool_v1_2::createTestModel_nchw_relaxed_4,
avg_pool_v1_2::is_ignored_nchw_relaxed_4,
- avg_pool_v1_2::examples_nchw_relaxed_4);
+ avg_pool_v1_2::get_examples_nchw_relaxed_4());
}
TEST_F(ValidationTest, avg_pool_v1_2_nchw_relaxed_4) {
const Model model = avg_pool_v1_2::createTestModel_nchw_relaxed_4();
- const std::vector<Request> requests = createRequests(avg_pool_v1_2::examples_nchw_relaxed_4);
+ const std::vector<Request> requests = createRequests(avg_pool_v1_2::get_examples_nchw_relaxed_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -818,12 +955,12 @@
generated_tests::Execute(device,
avg_pool_v1_2::createTestModel_nchw_quant8_4,
avg_pool_v1_2::is_ignored_nchw_quant8_4,
- avg_pool_v1_2::examples_nchw_quant8_4);
+ avg_pool_v1_2::get_examples_nchw_quant8_4());
}
TEST_F(ValidationTest, avg_pool_v1_2_nchw_quant8_4) {
const Model model = avg_pool_v1_2::createTestModel_nchw_quant8_4();
- const std::vector<Request> requests = createRequests(avg_pool_v1_2::examples_nchw_quant8_4);
+ const std::vector<Request> requests = createRequests(avg_pool_v1_2::get_examples_nchw_quant8_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -833,12 +970,12 @@
generated_tests::Execute(device,
avg_pool_v1_2::createTestModel_nhwc_5,
avg_pool_v1_2::is_ignored_nhwc_5,
- avg_pool_v1_2::examples_nhwc_5);
+ avg_pool_v1_2::get_examples_nhwc_5());
}
TEST_F(ValidationTest, avg_pool_v1_2_nhwc_5) {
const Model model = avg_pool_v1_2::createTestModel_nhwc_5();
- const std::vector<Request> requests = createRequests(avg_pool_v1_2::examples_nhwc_5);
+ const std::vector<Request> requests = createRequests(avg_pool_v1_2::get_examples_nhwc_5());
validateModel(model);
validateRequests(model, requests);
}
@@ -848,12 +985,12 @@
generated_tests::Execute(device,
avg_pool_v1_2::createTestModel_nhwc_relaxed_5,
avg_pool_v1_2::is_ignored_nhwc_relaxed_5,
- avg_pool_v1_2::examples_nhwc_relaxed_5);
+ avg_pool_v1_2::get_examples_nhwc_relaxed_5());
}
TEST_F(ValidationTest, avg_pool_v1_2_nhwc_relaxed_5) {
const Model model = avg_pool_v1_2::createTestModel_nhwc_relaxed_5();
- const std::vector<Request> requests = createRequests(avg_pool_v1_2::examples_nhwc_relaxed_5);
+ const std::vector<Request> requests = createRequests(avg_pool_v1_2::get_examples_nhwc_relaxed_5());
validateModel(model);
validateRequests(model, requests);
}
@@ -863,12 +1000,12 @@
generated_tests::Execute(device,
avg_pool_v1_2::createTestModel_nhwc_quant8_5,
avg_pool_v1_2::is_ignored_nhwc_quant8_5,
- avg_pool_v1_2::examples_nhwc_quant8_5);
+ avg_pool_v1_2::get_examples_nhwc_quant8_5());
}
TEST_F(ValidationTest, avg_pool_v1_2_nhwc_quant8_5) {
const Model model = avg_pool_v1_2::createTestModel_nhwc_quant8_5();
- const std::vector<Request> requests = createRequests(avg_pool_v1_2::examples_nhwc_quant8_5);
+ const std::vector<Request> requests = createRequests(avg_pool_v1_2::get_examples_nhwc_quant8_5());
validateModel(model);
validateRequests(model, requests);
}
@@ -878,12 +1015,12 @@
generated_tests::Execute(device,
avg_pool_v1_2::createTestModel_nchw_5,
avg_pool_v1_2::is_ignored_nchw_5,
- avg_pool_v1_2::examples_nchw_5);
+ avg_pool_v1_2::get_examples_nchw_5());
}
TEST_F(ValidationTest, avg_pool_v1_2_nchw_5) {
const Model model = avg_pool_v1_2::createTestModel_nchw_5();
- const std::vector<Request> requests = createRequests(avg_pool_v1_2::examples_nchw_5);
+ const std::vector<Request> requests = createRequests(avg_pool_v1_2::get_examples_nchw_5());
validateModel(model);
validateRequests(model, requests);
}
@@ -893,12 +1030,12 @@
generated_tests::Execute(device,
avg_pool_v1_2::createTestModel_nchw_relaxed_5,
avg_pool_v1_2::is_ignored_nchw_relaxed_5,
- avg_pool_v1_2::examples_nchw_relaxed_5);
+ avg_pool_v1_2::get_examples_nchw_relaxed_5());
}
TEST_F(ValidationTest, avg_pool_v1_2_nchw_relaxed_5) {
const Model model = avg_pool_v1_2::createTestModel_nchw_relaxed_5();
- const std::vector<Request> requests = createRequests(avg_pool_v1_2::examples_nchw_relaxed_5);
+ const std::vector<Request> requests = createRequests(avg_pool_v1_2::get_examples_nchw_relaxed_5());
validateModel(model);
validateRequests(model, requests);
}
@@ -908,12 +1045,12 @@
generated_tests::Execute(device,
avg_pool_v1_2::createTestModel_nchw_quant8_5,
avg_pool_v1_2::is_ignored_nchw_quant8_5,
- avg_pool_v1_2::examples_nchw_quant8_5);
+ avg_pool_v1_2::get_examples_nchw_quant8_5());
}
TEST_F(ValidationTest, avg_pool_v1_2_nchw_quant8_5) {
const Model model = avg_pool_v1_2::createTestModel_nchw_quant8_5();
- const std::vector<Request> requests = createRequests(avg_pool_v1_2::examples_nchw_quant8_5);
+ const std::vector<Request> requests = createRequests(avg_pool_v1_2::get_examples_nchw_quant8_5());
validateModel(model);
validateRequests(model, requests);
}
@@ -931,12 +1068,12 @@
generated_tests::Execute(device,
axis_aligned_bbox_transform::createTestModel,
axis_aligned_bbox_transform::is_ignored,
- axis_aligned_bbox_transform::examples);
+ axis_aligned_bbox_transform::get_examples());
}
TEST_F(ValidationTest, axis_aligned_bbox_transform) {
const Model model = axis_aligned_bbox_transform::createTestModel();
- const std::vector<Request> requests = createRequests(axis_aligned_bbox_transform::examples);
+ const std::vector<Request> requests = createRequests(axis_aligned_bbox_transform::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -946,12 +1083,12 @@
generated_tests::Execute(device,
axis_aligned_bbox_transform::createTestModel_relaxed,
axis_aligned_bbox_transform::is_ignored_relaxed,
- axis_aligned_bbox_transform::examples_relaxed);
+ axis_aligned_bbox_transform::get_examples_relaxed());
}
TEST_F(ValidationTest, axis_aligned_bbox_transform_relaxed) {
const Model model = axis_aligned_bbox_transform::createTestModel_relaxed();
- const std::vector<Request> requests = createRequests(axis_aligned_bbox_transform::examples_relaxed);
+ const std::vector<Request> requests = createRequests(axis_aligned_bbox_transform::get_examples_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -961,12 +1098,12 @@
generated_tests::Execute(device,
axis_aligned_bbox_transform::createTestModel_2,
axis_aligned_bbox_transform::is_ignored_2,
- axis_aligned_bbox_transform::examples_2);
+ axis_aligned_bbox_transform::get_examples_2());
}
TEST_F(ValidationTest, axis_aligned_bbox_transform_2) {
const Model model = axis_aligned_bbox_transform::createTestModel_2();
- const std::vector<Request> requests = createRequests(axis_aligned_bbox_transform::examples_2);
+ const std::vector<Request> requests = createRequests(axis_aligned_bbox_transform::get_examples_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -976,12 +1113,12 @@
generated_tests::Execute(device,
axis_aligned_bbox_transform::createTestModel_relaxed_2,
axis_aligned_bbox_transform::is_ignored_relaxed_2,
- axis_aligned_bbox_transform::examples_relaxed_2);
+ axis_aligned_bbox_transform::get_examples_relaxed_2());
}
TEST_F(ValidationTest, axis_aligned_bbox_transform_relaxed_2) {
const Model model = axis_aligned_bbox_transform::createTestModel_relaxed_2();
- const std::vector<Request> requests = createRequests(axis_aligned_bbox_transform::examples_relaxed_2);
+ const std::vector<Request> requests = createRequests(axis_aligned_bbox_transform::get_examples_relaxed_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -991,12 +1128,12 @@
generated_tests::Execute(device,
axis_aligned_bbox_transform::createTestModel_single_batch,
axis_aligned_bbox_transform::is_ignored_single_batch,
- axis_aligned_bbox_transform::examples_single_batch);
+ axis_aligned_bbox_transform::get_examples_single_batch());
}
TEST_F(ValidationTest, axis_aligned_bbox_transform_single_batch) {
const Model model = axis_aligned_bbox_transform::createTestModel_single_batch();
- const std::vector<Request> requests = createRequests(axis_aligned_bbox_transform::examples_single_batch);
+ const std::vector<Request> requests = createRequests(axis_aligned_bbox_transform::get_examples_single_batch());
validateModel(model);
validateRequests(model, requests);
}
@@ -1006,12 +1143,12 @@
generated_tests::Execute(device,
axis_aligned_bbox_transform::createTestModel_single_batch_relaxed,
axis_aligned_bbox_transform::is_ignored_single_batch_relaxed,
- axis_aligned_bbox_transform::examples_single_batch_relaxed);
+ axis_aligned_bbox_transform::get_examples_single_batch_relaxed());
}
TEST_F(ValidationTest, axis_aligned_bbox_transform_single_batch_relaxed) {
const Model model = axis_aligned_bbox_transform::createTestModel_single_batch_relaxed();
- const std::vector<Request> requests = createRequests(axis_aligned_bbox_transform::examples_single_batch_relaxed);
+ const std::vector<Request> requests = createRequests(axis_aligned_bbox_transform::get_examples_single_batch_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -1029,12 +1166,12 @@
generated_tests::Execute(device,
batch_to_space_v1_2::createTestModel_nhwc,
batch_to_space_v1_2::is_ignored_nhwc,
- batch_to_space_v1_2::examples_nhwc);
+ batch_to_space_v1_2::get_examples_nhwc());
}
TEST_F(ValidationTest, batch_to_space_v1_2_nhwc) {
const Model model = batch_to_space_v1_2::createTestModel_nhwc();
- const std::vector<Request> requests = createRequests(batch_to_space_v1_2::examples_nhwc);
+ const std::vector<Request> requests = createRequests(batch_to_space_v1_2::get_examples_nhwc());
validateModel(model);
validateRequests(model, requests);
}
@@ -1044,12 +1181,27 @@
generated_tests::Execute(device,
batch_to_space_v1_2::createTestModel_nhwc_relaxed,
batch_to_space_v1_2::is_ignored_nhwc_relaxed,
- batch_to_space_v1_2::examples_nhwc_relaxed);
+ batch_to_space_v1_2::get_examples_nhwc_relaxed());
}
TEST_F(ValidationTest, batch_to_space_v1_2_nhwc_relaxed) {
const Model model = batch_to_space_v1_2::createTestModel_nhwc_relaxed();
- const std::vector<Request> requests = createRequests(batch_to_space_v1_2::examples_nhwc_relaxed);
+ const std::vector<Request> requests = createRequests(batch_to_space_v1_2::get_examples_nhwc_relaxed());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, batch_to_space_v1_2_nhwc_float16) {
+ generated_tests::Execute(device,
+ batch_to_space_v1_2::createTestModel_nhwc_float16,
+ batch_to_space_v1_2::is_ignored_nhwc_float16,
+ batch_to_space_v1_2::get_examples_nhwc_float16());
+}
+
+TEST_F(ValidationTest, batch_to_space_v1_2_nhwc_float16) {
+ const Model model = batch_to_space_v1_2::createTestModel_nhwc_float16();
+ const std::vector<Request> requests = createRequests(batch_to_space_v1_2::get_examples_nhwc_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -1059,12 +1211,12 @@
generated_tests::Execute(device,
batch_to_space_v1_2::createTestModel_nhwc_quant8,
batch_to_space_v1_2::is_ignored_nhwc_quant8,
- batch_to_space_v1_2::examples_nhwc_quant8);
+ batch_to_space_v1_2::get_examples_nhwc_quant8());
}
TEST_F(ValidationTest, batch_to_space_v1_2_nhwc_quant8) {
const Model model = batch_to_space_v1_2::createTestModel_nhwc_quant8();
- const std::vector<Request> requests = createRequests(batch_to_space_v1_2::examples_nhwc_quant8);
+ const std::vector<Request> requests = createRequests(batch_to_space_v1_2::get_examples_nhwc_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -1074,12 +1226,12 @@
generated_tests::Execute(device,
batch_to_space_v1_2::createTestModel_nchw,
batch_to_space_v1_2::is_ignored_nchw,
- batch_to_space_v1_2::examples_nchw);
+ batch_to_space_v1_2::get_examples_nchw());
}
TEST_F(ValidationTest, batch_to_space_v1_2_nchw) {
const Model model = batch_to_space_v1_2::createTestModel_nchw();
- const std::vector<Request> requests = createRequests(batch_to_space_v1_2::examples_nchw);
+ const std::vector<Request> requests = createRequests(batch_to_space_v1_2::get_examples_nchw());
validateModel(model);
validateRequests(model, requests);
}
@@ -1089,12 +1241,27 @@
generated_tests::Execute(device,
batch_to_space_v1_2::createTestModel_nchw_relaxed,
batch_to_space_v1_2::is_ignored_nchw_relaxed,
- batch_to_space_v1_2::examples_nchw_relaxed);
+ batch_to_space_v1_2::get_examples_nchw_relaxed());
}
TEST_F(ValidationTest, batch_to_space_v1_2_nchw_relaxed) {
const Model model = batch_to_space_v1_2::createTestModel_nchw_relaxed();
- const std::vector<Request> requests = createRequests(batch_to_space_v1_2::examples_nchw_relaxed);
+ const std::vector<Request> requests = createRequests(batch_to_space_v1_2::get_examples_nchw_relaxed());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, batch_to_space_v1_2_nchw_float16) {
+ generated_tests::Execute(device,
+ batch_to_space_v1_2::createTestModel_nchw_float16,
+ batch_to_space_v1_2::is_ignored_nchw_float16,
+ batch_to_space_v1_2::get_examples_nchw_float16());
+}
+
+TEST_F(ValidationTest, batch_to_space_v1_2_nchw_float16) {
+ const Model model = batch_to_space_v1_2::createTestModel_nchw_float16();
+ const std::vector<Request> requests = createRequests(batch_to_space_v1_2::get_examples_nchw_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -1104,12 +1271,12 @@
generated_tests::Execute(device,
batch_to_space_v1_2::createTestModel_nchw_quant8,
batch_to_space_v1_2::is_ignored_nchw_quant8,
- batch_to_space_v1_2::examples_nchw_quant8);
+ batch_to_space_v1_2::get_examples_nchw_quant8());
}
TEST_F(ValidationTest, batch_to_space_v1_2_nchw_quant8) {
const Model model = batch_to_space_v1_2::createTestModel_nchw_quant8();
- const std::vector<Request> requests = createRequests(batch_to_space_v1_2::examples_nchw_quant8);
+ const std::vector<Request> requests = createRequests(batch_to_space_v1_2::get_examples_nchw_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -1119,12 +1286,12 @@
generated_tests::Execute(device,
batch_to_space_v1_2::createTestModel_nhwc_2,
batch_to_space_v1_2::is_ignored_nhwc_2,
- batch_to_space_v1_2::examples_nhwc_2);
+ batch_to_space_v1_2::get_examples_nhwc_2());
}
TEST_F(ValidationTest, batch_to_space_v1_2_nhwc_2) {
const Model model = batch_to_space_v1_2::createTestModel_nhwc_2();
- const std::vector<Request> requests = createRequests(batch_to_space_v1_2::examples_nhwc_2);
+ const std::vector<Request> requests = createRequests(batch_to_space_v1_2::get_examples_nhwc_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -1134,12 +1301,27 @@
generated_tests::Execute(device,
batch_to_space_v1_2::createTestModel_nhwc_relaxed_2,
batch_to_space_v1_2::is_ignored_nhwc_relaxed_2,
- batch_to_space_v1_2::examples_nhwc_relaxed_2);
+ batch_to_space_v1_2::get_examples_nhwc_relaxed_2());
}
TEST_F(ValidationTest, batch_to_space_v1_2_nhwc_relaxed_2) {
const Model model = batch_to_space_v1_2::createTestModel_nhwc_relaxed_2();
- const std::vector<Request> requests = createRequests(batch_to_space_v1_2::examples_nhwc_relaxed_2);
+ const std::vector<Request> requests = createRequests(batch_to_space_v1_2::get_examples_nhwc_relaxed_2());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, batch_to_space_v1_2_nhwc_float16_2) {
+ generated_tests::Execute(device,
+ batch_to_space_v1_2::createTestModel_nhwc_float16_2,
+ batch_to_space_v1_2::is_ignored_nhwc_float16_2,
+ batch_to_space_v1_2::get_examples_nhwc_float16_2());
+}
+
+TEST_F(ValidationTest, batch_to_space_v1_2_nhwc_float16_2) {
+ const Model model = batch_to_space_v1_2::createTestModel_nhwc_float16_2();
+ const std::vector<Request> requests = createRequests(batch_to_space_v1_2::get_examples_nhwc_float16_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -1149,12 +1331,12 @@
generated_tests::Execute(device,
batch_to_space_v1_2::createTestModel_nhwc_quant8_2,
batch_to_space_v1_2::is_ignored_nhwc_quant8_2,
- batch_to_space_v1_2::examples_nhwc_quant8_2);
+ batch_to_space_v1_2::get_examples_nhwc_quant8_2());
}
TEST_F(ValidationTest, batch_to_space_v1_2_nhwc_quant8_2) {
const Model model = batch_to_space_v1_2::createTestModel_nhwc_quant8_2();
- const std::vector<Request> requests = createRequests(batch_to_space_v1_2::examples_nhwc_quant8_2);
+ const std::vector<Request> requests = createRequests(batch_to_space_v1_2::get_examples_nhwc_quant8_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -1164,12 +1346,12 @@
generated_tests::Execute(device,
batch_to_space_v1_2::createTestModel_nchw_2,
batch_to_space_v1_2::is_ignored_nchw_2,
- batch_to_space_v1_2::examples_nchw_2);
+ batch_to_space_v1_2::get_examples_nchw_2());
}
TEST_F(ValidationTest, batch_to_space_v1_2_nchw_2) {
const Model model = batch_to_space_v1_2::createTestModel_nchw_2();
- const std::vector<Request> requests = createRequests(batch_to_space_v1_2::examples_nchw_2);
+ const std::vector<Request> requests = createRequests(batch_to_space_v1_2::get_examples_nchw_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -1179,12 +1361,27 @@
generated_tests::Execute(device,
batch_to_space_v1_2::createTestModel_nchw_relaxed_2,
batch_to_space_v1_2::is_ignored_nchw_relaxed_2,
- batch_to_space_v1_2::examples_nchw_relaxed_2);
+ batch_to_space_v1_2::get_examples_nchw_relaxed_2());
}
TEST_F(ValidationTest, batch_to_space_v1_2_nchw_relaxed_2) {
const Model model = batch_to_space_v1_2::createTestModel_nchw_relaxed_2();
- const std::vector<Request> requests = createRequests(batch_to_space_v1_2::examples_nchw_relaxed_2);
+ const std::vector<Request> requests = createRequests(batch_to_space_v1_2::get_examples_nchw_relaxed_2());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, batch_to_space_v1_2_nchw_float16_2) {
+ generated_tests::Execute(device,
+ batch_to_space_v1_2::createTestModel_nchw_float16_2,
+ batch_to_space_v1_2::is_ignored_nchw_float16_2,
+ batch_to_space_v1_2::get_examples_nchw_float16_2());
+}
+
+TEST_F(ValidationTest, batch_to_space_v1_2_nchw_float16_2) {
+ const Model model = batch_to_space_v1_2::createTestModel_nchw_float16_2();
+ const std::vector<Request> requests = createRequests(batch_to_space_v1_2::get_examples_nchw_float16_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -1194,12 +1391,12 @@
generated_tests::Execute(device,
batch_to_space_v1_2::createTestModel_nchw_quant8_2,
batch_to_space_v1_2::is_ignored_nchw_quant8_2,
- batch_to_space_v1_2::examples_nchw_quant8_2);
+ batch_to_space_v1_2::get_examples_nchw_quant8_2());
}
TEST_F(ValidationTest, batch_to_space_v1_2_nchw_quant8_2) {
const Model model = batch_to_space_v1_2::createTestModel_nchw_quant8_2();
- const std::vector<Request> requests = createRequests(batch_to_space_v1_2::examples_nchw_quant8_2);
+ const std::vector<Request> requests = createRequests(batch_to_space_v1_2::get_examples_nchw_quant8_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -1217,12 +1414,12 @@
generated_tests::Execute(device,
cast::createTestModel,
cast::is_ignored,
- cast::examples_float16_to_float16);
+ cast::get_examples_float16_to_float16());
}
TEST_F(ValidationTest, cast_float16_to_float16) {
const Model model = cast::createTestModel();
- const std::vector<Request> requests = createRequests(cast::examples_float16_to_float16);
+ const std::vector<Request> requests = createRequests(cast::get_examples_float16_to_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -1232,12 +1429,12 @@
generated_tests::Execute(device,
cast::createTestModel_2,
cast::is_ignored_2,
- cast::examples_float16_to_float32);
+ cast::get_examples_float16_to_float32());
}
TEST_F(ValidationTest, cast_float16_to_float32) {
const Model model = cast::createTestModel_2();
- const std::vector<Request> requests = createRequests(cast::examples_float16_to_float32);
+ const std::vector<Request> requests = createRequests(cast::get_examples_float16_to_float32());
validateModel(model);
validateRequests(model, requests);
}
@@ -1247,12 +1444,12 @@
generated_tests::Execute(device,
cast::createTestModel_relaxed,
cast::is_ignored_relaxed,
- cast::examples_float16_to_float32_relaxed);
+ cast::get_examples_float16_to_float32_relaxed());
}
TEST_F(ValidationTest, cast_float16_to_float32_relaxed) {
const Model model = cast::createTestModel_relaxed();
- const std::vector<Request> requests = createRequests(cast::examples_float16_to_float32_relaxed);
+ const std::vector<Request> requests = createRequests(cast::get_examples_float16_to_float32_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -1262,12 +1459,12 @@
generated_tests::Execute(device,
cast::createTestModel_3,
cast::is_ignored_3,
- cast::examples_float16_to_int32);
+ cast::get_examples_float16_to_int32());
}
TEST_F(ValidationTest, cast_float16_to_int32) {
const Model model = cast::createTestModel_3();
- const std::vector<Request> requests = createRequests(cast::examples_float16_to_int32);
+ const std::vector<Request> requests = createRequests(cast::get_examples_float16_to_int32());
validateModel(model);
validateRequests(model, requests);
}
@@ -1277,12 +1474,12 @@
generated_tests::Execute(device,
cast::createTestModel_4,
cast::is_ignored_4,
- cast::examples_float16_to_quant8);
+ cast::get_examples_float16_to_quant8());
}
TEST_F(ValidationTest, cast_float16_to_quant8) {
const Model model = cast::createTestModel_4();
- const std::vector<Request> requests = createRequests(cast::examples_float16_to_quant8);
+ const std::vector<Request> requests = createRequests(cast::get_examples_float16_to_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -1292,12 +1489,12 @@
generated_tests::Execute(device,
cast::createTestModel_5,
cast::is_ignored_5,
- cast::examples_float32_to_float16);
+ cast::get_examples_float32_to_float16());
}
TEST_F(ValidationTest, cast_float32_to_float16) {
const Model model = cast::createTestModel_5();
- const std::vector<Request> requests = createRequests(cast::examples_float32_to_float16);
+ const std::vector<Request> requests = createRequests(cast::get_examples_float32_to_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -1307,12 +1504,12 @@
generated_tests::Execute(device,
cast::createTestModel_relaxed_2,
cast::is_ignored_relaxed_2,
- cast::examples_float32_to_float16_relaxed);
+ cast::get_examples_float32_to_float16_relaxed());
}
TEST_F(ValidationTest, cast_float32_to_float16_relaxed) {
const Model model = cast::createTestModel_relaxed_2();
- const std::vector<Request> requests = createRequests(cast::examples_float32_to_float16_relaxed);
+ const std::vector<Request> requests = createRequests(cast::get_examples_float32_to_float16_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -1322,12 +1519,12 @@
generated_tests::Execute(device,
cast::createTestModel_6,
cast::is_ignored_6,
- cast::examples_float32_to_float32);
+ cast::get_examples_float32_to_float32());
}
TEST_F(ValidationTest, cast_float32_to_float32) {
const Model model = cast::createTestModel_6();
- const std::vector<Request> requests = createRequests(cast::examples_float32_to_float32);
+ const std::vector<Request> requests = createRequests(cast::get_examples_float32_to_float32());
validateModel(model);
validateRequests(model, requests);
}
@@ -1337,12 +1534,12 @@
generated_tests::Execute(device,
cast::createTestModel_relaxed_3,
cast::is_ignored_relaxed_3,
- cast::examples_float32_to_float32_relaxed);
+ cast::get_examples_float32_to_float32_relaxed());
}
TEST_F(ValidationTest, cast_float32_to_float32_relaxed) {
const Model model = cast::createTestModel_relaxed_3();
- const std::vector<Request> requests = createRequests(cast::examples_float32_to_float32_relaxed);
+ const std::vector<Request> requests = createRequests(cast::get_examples_float32_to_float32_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -1352,12 +1549,12 @@
generated_tests::Execute(device,
cast::createTestModel_7,
cast::is_ignored_7,
- cast::examples_float32_to_int32);
+ cast::get_examples_float32_to_int32());
}
TEST_F(ValidationTest, cast_float32_to_int32) {
const Model model = cast::createTestModel_7();
- const std::vector<Request> requests = createRequests(cast::examples_float32_to_int32);
+ const std::vector<Request> requests = createRequests(cast::get_examples_float32_to_int32());
validateModel(model);
validateRequests(model, requests);
}
@@ -1367,12 +1564,12 @@
generated_tests::Execute(device,
cast::createTestModel_relaxed_4,
cast::is_ignored_relaxed_4,
- cast::examples_float32_to_int32_relaxed);
+ cast::get_examples_float32_to_int32_relaxed());
}
TEST_F(ValidationTest, cast_float32_to_int32_relaxed) {
const Model model = cast::createTestModel_relaxed_4();
- const std::vector<Request> requests = createRequests(cast::examples_float32_to_int32_relaxed);
+ const std::vector<Request> requests = createRequests(cast::get_examples_float32_to_int32_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -1382,12 +1579,12 @@
generated_tests::Execute(device,
cast::createTestModel_8,
cast::is_ignored_8,
- cast::examples_float32_to_quant8);
+ cast::get_examples_float32_to_quant8());
}
TEST_F(ValidationTest, cast_float32_to_quant8) {
const Model model = cast::createTestModel_8();
- const std::vector<Request> requests = createRequests(cast::examples_float32_to_quant8);
+ const std::vector<Request> requests = createRequests(cast::get_examples_float32_to_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -1397,12 +1594,12 @@
generated_tests::Execute(device,
cast::createTestModel_relaxed_5,
cast::is_ignored_relaxed_5,
- cast::examples_float32_to_quant8_relaxed);
+ cast::get_examples_float32_to_quant8_relaxed());
}
TEST_F(ValidationTest, cast_float32_to_quant8_relaxed) {
const Model model = cast::createTestModel_relaxed_5();
- const std::vector<Request> requests = createRequests(cast::examples_float32_to_quant8_relaxed);
+ const std::vector<Request> requests = createRequests(cast::get_examples_float32_to_quant8_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -1412,12 +1609,12 @@
generated_tests::Execute(device,
cast::createTestModel_9,
cast::is_ignored_9,
- cast::examples_int32_to_float16);
+ cast::get_examples_int32_to_float16());
}
TEST_F(ValidationTest, cast_int32_to_float16) {
const Model model = cast::createTestModel_9();
- const std::vector<Request> requests = createRequests(cast::examples_int32_to_float16);
+ const std::vector<Request> requests = createRequests(cast::get_examples_int32_to_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -1427,12 +1624,12 @@
generated_tests::Execute(device,
cast::createTestModel_10,
cast::is_ignored_10,
- cast::examples_int32_to_float32);
+ cast::get_examples_int32_to_float32());
}
TEST_F(ValidationTest, cast_int32_to_float32) {
const Model model = cast::createTestModel_10();
- const std::vector<Request> requests = createRequests(cast::examples_int32_to_float32);
+ const std::vector<Request> requests = createRequests(cast::get_examples_int32_to_float32());
validateModel(model);
validateRequests(model, requests);
}
@@ -1442,12 +1639,12 @@
generated_tests::Execute(device,
cast::createTestModel_relaxed_6,
cast::is_ignored_relaxed_6,
- cast::examples_int32_to_float32_relaxed);
+ cast::get_examples_int32_to_float32_relaxed());
}
TEST_F(ValidationTest, cast_int32_to_float32_relaxed) {
const Model model = cast::createTestModel_relaxed_6();
- const std::vector<Request> requests = createRequests(cast::examples_int32_to_float32_relaxed);
+ const std::vector<Request> requests = createRequests(cast::get_examples_int32_to_float32_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -1457,12 +1654,12 @@
generated_tests::Execute(device,
cast::createTestModel_11,
cast::is_ignored_11,
- cast::examples_int32_to_int32);
+ cast::get_examples_int32_to_int32());
}
TEST_F(ValidationTest, cast_int32_to_int32) {
const Model model = cast::createTestModel_11();
- const std::vector<Request> requests = createRequests(cast::examples_int32_to_int32);
+ const std::vector<Request> requests = createRequests(cast::get_examples_int32_to_int32());
validateModel(model);
validateRequests(model, requests);
}
@@ -1472,12 +1669,12 @@
generated_tests::Execute(device,
cast::createTestModel_12,
cast::is_ignored_12,
- cast::examples_int32_to_quant8);
+ cast::get_examples_int32_to_quant8());
}
TEST_F(ValidationTest, cast_int32_to_quant8) {
const Model model = cast::createTestModel_12();
- const std::vector<Request> requests = createRequests(cast::examples_int32_to_quant8);
+ const std::vector<Request> requests = createRequests(cast::get_examples_int32_to_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -1487,12 +1684,12 @@
generated_tests::Execute(device,
cast::createTestModel_13,
cast::is_ignored_13,
- cast::examples_quant8_to_float16);
+ cast::get_examples_quant8_to_float16());
}
TEST_F(ValidationTest, cast_quant8_to_float16) {
const Model model = cast::createTestModel_13();
- const std::vector<Request> requests = createRequests(cast::examples_quant8_to_float16);
+ const std::vector<Request> requests = createRequests(cast::get_examples_quant8_to_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -1502,12 +1699,12 @@
generated_tests::Execute(device,
cast::createTestModel_14,
cast::is_ignored_14,
- cast::examples_quant8_to_float32);
+ cast::get_examples_quant8_to_float32());
}
TEST_F(ValidationTest, cast_quant8_to_float32) {
const Model model = cast::createTestModel_14();
- const std::vector<Request> requests = createRequests(cast::examples_quant8_to_float32);
+ const std::vector<Request> requests = createRequests(cast::get_examples_quant8_to_float32());
validateModel(model);
validateRequests(model, requests);
}
@@ -1517,12 +1714,12 @@
generated_tests::Execute(device,
cast::createTestModel_relaxed_7,
cast::is_ignored_relaxed_7,
- cast::examples_quant8_to_float32_relaxed);
+ cast::get_examples_quant8_to_float32_relaxed());
}
TEST_F(ValidationTest, cast_quant8_to_float32_relaxed) {
const Model model = cast::createTestModel_relaxed_7();
- const std::vector<Request> requests = createRequests(cast::examples_quant8_to_float32_relaxed);
+ const std::vector<Request> requests = createRequests(cast::get_examples_quant8_to_float32_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -1532,12 +1729,12 @@
generated_tests::Execute(device,
cast::createTestModel_15,
cast::is_ignored_15,
- cast::examples_quant8_to_int32);
+ cast::get_examples_quant8_to_int32());
}
TEST_F(ValidationTest, cast_quant8_to_int32) {
const Model model = cast::createTestModel_15();
- const std::vector<Request> requests = createRequests(cast::examples_quant8_to_int32);
+ const std::vector<Request> requests = createRequests(cast::get_examples_quant8_to_int32());
validateModel(model);
validateRequests(model, requests);
}
@@ -1547,12 +1744,12 @@
generated_tests::Execute(device,
cast::createTestModel_16,
cast::is_ignored_16,
- cast::examples_quant8_to_quant8);
+ cast::get_examples_quant8_to_quant8());
}
TEST_F(ValidationTest, cast_quant8_to_quant8) {
const Model model = cast::createTestModel_16();
- const std::vector<Request> requests = createRequests(cast::examples_quant8_to_quant8);
+ const std::vector<Request> requests = createRequests(cast::get_examples_quant8_to_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -1570,12 +1767,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_dim4_axis0,
channel_shuffle::is_ignored_dim4_axis0,
- channel_shuffle::examples_dim4_axis0);
+ channel_shuffle::get_examples_dim4_axis0());
}
TEST_F(ValidationTest, channel_shuffle_dim4_axis0) {
const Model model = channel_shuffle::createTestModel_dim4_axis0();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_dim4_axis0);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_dim4_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -1585,12 +1782,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_dim4_axis0_neg,
channel_shuffle::is_ignored_dim4_axis0_neg,
- channel_shuffle::examples_dim4_axis0_neg);
+ channel_shuffle::get_examples_dim4_axis0_neg());
}
TEST_F(ValidationTest, channel_shuffle_dim4_axis0_neg) {
const Model model = channel_shuffle::createTestModel_dim4_axis0_neg();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_dim4_axis0_neg);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_dim4_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -1600,12 +1797,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_dim4_axis1,
channel_shuffle::is_ignored_dim4_axis1,
- channel_shuffle::examples_dim4_axis1);
+ channel_shuffle::get_examples_dim4_axis1());
}
TEST_F(ValidationTest, channel_shuffle_dim4_axis1) {
const Model model = channel_shuffle::createTestModel_dim4_axis1();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_dim4_axis1);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_dim4_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -1615,12 +1812,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_dim4_axis1_neg,
channel_shuffle::is_ignored_dim4_axis1_neg,
- channel_shuffle::examples_dim4_axis1_neg);
+ channel_shuffle::get_examples_dim4_axis1_neg());
}
TEST_F(ValidationTest, channel_shuffle_dim4_axis1_neg) {
const Model model = channel_shuffle::createTestModel_dim4_axis1_neg();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_dim4_axis1_neg);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_dim4_axis1_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -1630,12 +1827,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_dim4_axis2,
channel_shuffle::is_ignored_dim4_axis2,
- channel_shuffle::examples_dim4_axis2);
+ channel_shuffle::get_examples_dim4_axis2());
}
TEST_F(ValidationTest, channel_shuffle_dim4_axis2) {
const Model model = channel_shuffle::createTestModel_dim4_axis2();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_dim4_axis2);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_dim4_axis2());
validateModel(model);
validateRequests(model, requests);
}
@@ -1645,12 +1842,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_dim4_axis2_neg,
channel_shuffle::is_ignored_dim4_axis2_neg,
- channel_shuffle::examples_dim4_axis2_neg);
+ channel_shuffle::get_examples_dim4_axis2_neg());
}
TEST_F(ValidationTest, channel_shuffle_dim4_axis2_neg) {
const Model model = channel_shuffle::createTestModel_dim4_axis2_neg();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_dim4_axis2_neg);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_dim4_axis2_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -1660,12 +1857,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_dim4_axis3,
channel_shuffle::is_ignored_dim4_axis3,
- channel_shuffle::examples_dim4_axis3);
+ channel_shuffle::get_examples_dim4_axis3());
}
TEST_F(ValidationTest, channel_shuffle_dim4_axis3) {
const Model model = channel_shuffle::createTestModel_dim4_axis3();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_dim4_axis3);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_dim4_axis3());
validateModel(model);
validateRequests(model, requests);
}
@@ -1675,12 +1872,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_dim4_axis3_neg,
channel_shuffle::is_ignored_dim4_axis3_neg,
- channel_shuffle::examples_dim4_axis3_neg);
+ channel_shuffle::get_examples_dim4_axis3_neg());
}
TEST_F(ValidationTest, channel_shuffle_dim4_axis3_neg) {
const Model model = channel_shuffle::createTestModel_dim4_axis3_neg();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_dim4_axis3_neg);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_dim4_axis3_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -1690,12 +1887,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_dim3_axis0,
channel_shuffle::is_ignored_dim3_axis0,
- channel_shuffle::examples_dim3_axis0);
+ channel_shuffle::get_examples_dim3_axis0());
}
TEST_F(ValidationTest, channel_shuffle_dim3_axis0) {
const Model model = channel_shuffle::createTestModel_dim3_axis0();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_dim3_axis0);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_dim3_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -1705,12 +1902,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_dim3_axis0_neg,
channel_shuffle::is_ignored_dim3_axis0_neg,
- channel_shuffle::examples_dim3_axis0_neg);
+ channel_shuffle::get_examples_dim3_axis0_neg());
}
TEST_F(ValidationTest, channel_shuffle_dim3_axis0_neg) {
const Model model = channel_shuffle::createTestModel_dim3_axis0_neg();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_dim3_axis0_neg);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_dim3_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -1720,12 +1917,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_dim3_axis1,
channel_shuffle::is_ignored_dim3_axis1,
- channel_shuffle::examples_dim3_axis1);
+ channel_shuffle::get_examples_dim3_axis1());
}
TEST_F(ValidationTest, channel_shuffle_dim3_axis1) {
const Model model = channel_shuffle::createTestModel_dim3_axis1();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_dim3_axis1);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_dim3_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -1735,12 +1932,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_dim3_axis1_neg,
channel_shuffle::is_ignored_dim3_axis1_neg,
- channel_shuffle::examples_dim3_axis1_neg);
+ channel_shuffle::get_examples_dim3_axis1_neg());
}
TEST_F(ValidationTest, channel_shuffle_dim3_axis1_neg) {
const Model model = channel_shuffle::createTestModel_dim3_axis1_neg();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_dim3_axis1_neg);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_dim3_axis1_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -1750,12 +1947,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_dim3_axis2,
channel_shuffle::is_ignored_dim3_axis2,
- channel_shuffle::examples_dim3_axis2);
+ channel_shuffle::get_examples_dim3_axis2());
}
TEST_F(ValidationTest, channel_shuffle_dim3_axis2) {
const Model model = channel_shuffle::createTestModel_dim3_axis2();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_dim3_axis2);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_dim3_axis2());
validateModel(model);
validateRequests(model, requests);
}
@@ -1765,12 +1962,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_dim3_axis2_neg,
channel_shuffle::is_ignored_dim3_axis2_neg,
- channel_shuffle::examples_dim3_axis2_neg);
+ channel_shuffle::get_examples_dim3_axis2_neg());
}
TEST_F(ValidationTest, channel_shuffle_dim3_axis2_neg) {
const Model model = channel_shuffle::createTestModel_dim3_axis2_neg();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_dim3_axis2_neg);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_dim3_axis2_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -1780,12 +1977,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_dim2_axis0,
channel_shuffle::is_ignored_dim2_axis0,
- channel_shuffle::examples_dim2_axis0);
+ channel_shuffle::get_examples_dim2_axis0());
}
TEST_F(ValidationTest, channel_shuffle_dim2_axis0) {
const Model model = channel_shuffle::createTestModel_dim2_axis0();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_dim2_axis0);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_dim2_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -1795,12 +1992,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_dim2_axis0_neg,
channel_shuffle::is_ignored_dim2_axis0_neg,
- channel_shuffle::examples_dim2_axis0_neg);
+ channel_shuffle::get_examples_dim2_axis0_neg());
}
TEST_F(ValidationTest, channel_shuffle_dim2_axis0_neg) {
const Model model = channel_shuffle::createTestModel_dim2_axis0_neg();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_dim2_axis0_neg);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_dim2_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -1810,12 +2007,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_dim2_axis1,
channel_shuffle::is_ignored_dim2_axis1,
- channel_shuffle::examples_dim2_axis1);
+ channel_shuffle::get_examples_dim2_axis1());
}
TEST_F(ValidationTest, channel_shuffle_dim2_axis1) {
const Model model = channel_shuffle::createTestModel_dim2_axis1();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_dim2_axis1);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_dim2_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -1825,12 +2022,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_dim2_axis1_neg,
channel_shuffle::is_ignored_dim2_axis1_neg,
- channel_shuffle::examples_dim2_axis1_neg);
+ channel_shuffle::get_examples_dim2_axis1_neg());
}
TEST_F(ValidationTest, channel_shuffle_dim2_axis1_neg) {
const Model model = channel_shuffle::createTestModel_dim2_axis1_neg();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_dim2_axis1_neg);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_dim2_axis1_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -1840,12 +2037,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_dim1_axis0,
channel_shuffle::is_ignored_dim1_axis0,
- channel_shuffle::examples_dim1_axis0);
+ channel_shuffle::get_examples_dim1_axis0());
}
TEST_F(ValidationTest, channel_shuffle_dim1_axis0) {
const Model model = channel_shuffle::createTestModel_dim1_axis0();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_dim1_axis0);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_dim1_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -1855,12 +2052,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_dim1_axis0_neg,
channel_shuffle::is_ignored_dim1_axis0_neg,
- channel_shuffle::examples_dim1_axis0_neg);
+ channel_shuffle::get_examples_dim1_axis0_neg());
}
TEST_F(ValidationTest, channel_shuffle_dim1_axis0_neg) {
const Model model = channel_shuffle::createTestModel_dim1_axis0_neg();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_dim1_axis0_neg);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_dim1_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -1870,12 +2067,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_relaxed_dim4_axis0,
channel_shuffle::is_ignored_relaxed_dim4_axis0,
- channel_shuffle::examples_relaxed_dim4_axis0);
+ channel_shuffle::get_examples_relaxed_dim4_axis0());
}
TEST_F(ValidationTest, channel_shuffle_relaxed_dim4_axis0) {
const Model model = channel_shuffle::createTestModel_relaxed_dim4_axis0();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_relaxed_dim4_axis0);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_relaxed_dim4_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -1885,12 +2082,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_relaxed_dim4_axis0_neg,
channel_shuffle::is_ignored_relaxed_dim4_axis0_neg,
- channel_shuffle::examples_relaxed_dim4_axis0_neg);
+ channel_shuffle::get_examples_relaxed_dim4_axis0_neg());
}
TEST_F(ValidationTest, channel_shuffle_relaxed_dim4_axis0_neg) {
const Model model = channel_shuffle::createTestModel_relaxed_dim4_axis0_neg();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_relaxed_dim4_axis0_neg);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_relaxed_dim4_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -1900,12 +2097,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_relaxed_dim4_axis1,
channel_shuffle::is_ignored_relaxed_dim4_axis1,
- channel_shuffle::examples_relaxed_dim4_axis1);
+ channel_shuffle::get_examples_relaxed_dim4_axis1());
}
TEST_F(ValidationTest, channel_shuffle_relaxed_dim4_axis1) {
const Model model = channel_shuffle::createTestModel_relaxed_dim4_axis1();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_relaxed_dim4_axis1);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_relaxed_dim4_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -1915,12 +2112,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_relaxed_dim4_axis1_neg,
channel_shuffle::is_ignored_relaxed_dim4_axis1_neg,
- channel_shuffle::examples_relaxed_dim4_axis1_neg);
+ channel_shuffle::get_examples_relaxed_dim4_axis1_neg());
}
TEST_F(ValidationTest, channel_shuffle_relaxed_dim4_axis1_neg) {
const Model model = channel_shuffle::createTestModel_relaxed_dim4_axis1_neg();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_relaxed_dim4_axis1_neg);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_relaxed_dim4_axis1_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -1930,12 +2127,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_relaxed_dim4_axis2,
channel_shuffle::is_ignored_relaxed_dim4_axis2,
- channel_shuffle::examples_relaxed_dim4_axis2);
+ channel_shuffle::get_examples_relaxed_dim4_axis2());
}
TEST_F(ValidationTest, channel_shuffle_relaxed_dim4_axis2) {
const Model model = channel_shuffle::createTestModel_relaxed_dim4_axis2();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_relaxed_dim4_axis2);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_relaxed_dim4_axis2());
validateModel(model);
validateRequests(model, requests);
}
@@ -1945,12 +2142,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_relaxed_dim4_axis2_neg,
channel_shuffle::is_ignored_relaxed_dim4_axis2_neg,
- channel_shuffle::examples_relaxed_dim4_axis2_neg);
+ channel_shuffle::get_examples_relaxed_dim4_axis2_neg());
}
TEST_F(ValidationTest, channel_shuffle_relaxed_dim4_axis2_neg) {
const Model model = channel_shuffle::createTestModel_relaxed_dim4_axis2_neg();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_relaxed_dim4_axis2_neg);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_relaxed_dim4_axis2_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -1960,12 +2157,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_relaxed_dim4_axis3,
channel_shuffle::is_ignored_relaxed_dim4_axis3,
- channel_shuffle::examples_relaxed_dim4_axis3);
+ channel_shuffle::get_examples_relaxed_dim4_axis3());
}
TEST_F(ValidationTest, channel_shuffle_relaxed_dim4_axis3) {
const Model model = channel_shuffle::createTestModel_relaxed_dim4_axis3();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_relaxed_dim4_axis3);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_relaxed_dim4_axis3());
validateModel(model);
validateRequests(model, requests);
}
@@ -1975,12 +2172,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_relaxed_dim4_axis3_neg,
channel_shuffle::is_ignored_relaxed_dim4_axis3_neg,
- channel_shuffle::examples_relaxed_dim4_axis3_neg);
+ channel_shuffle::get_examples_relaxed_dim4_axis3_neg());
}
TEST_F(ValidationTest, channel_shuffle_relaxed_dim4_axis3_neg) {
const Model model = channel_shuffle::createTestModel_relaxed_dim4_axis3_neg();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_relaxed_dim4_axis3_neg);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_relaxed_dim4_axis3_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -1990,12 +2187,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_relaxed_dim3_axis0,
channel_shuffle::is_ignored_relaxed_dim3_axis0,
- channel_shuffle::examples_relaxed_dim3_axis0);
+ channel_shuffle::get_examples_relaxed_dim3_axis0());
}
TEST_F(ValidationTest, channel_shuffle_relaxed_dim3_axis0) {
const Model model = channel_shuffle::createTestModel_relaxed_dim3_axis0();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_relaxed_dim3_axis0);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_relaxed_dim3_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -2005,12 +2202,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_relaxed_dim3_axis0_neg,
channel_shuffle::is_ignored_relaxed_dim3_axis0_neg,
- channel_shuffle::examples_relaxed_dim3_axis0_neg);
+ channel_shuffle::get_examples_relaxed_dim3_axis0_neg());
}
TEST_F(ValidationTest, channel_shuffle_relaxed_dim3_axis0_neg) {
const Model model = channel_shuffle::createTestModel_relaxed_dim3_axis0_neg();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_relaxed_dim3_axis0_neg);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_relaxed_dim3_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -2020,12 +2217,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_relaxed_dim3_axis1,
channel_shuffle::is_ignored_relaxed_dim3_axis1,
- channel_shuffle::examples_relaxed_dim3_axis1);
+ channel_shuffle::get_examples_relaxed_dim3_axis1());
}
TEST_F(ValidationTest, channel_shuffle_relaxed_dim3_axis1) {
const Model model = channel_shuffle::createTestModel_relaxed_dim3_axis1();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_relaxed_dim3_axis1);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_relaxed_dim3_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -2035,12 +2232,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_relaxed_dim3_axis1_neg,
channel_shuffle::is_ignored_relaxed_dim3_axis1_neg,
- channel_shuffle::examples_relaxed_dim3_axis1_neg);
+ channel_shuffle::get_examples_relaxed_dim3_axis1_neg());
}
TEST_F(ValidationTest, channel_shuffle_relaxed_dim3_axis1_neg) {
const Model model = channel_shuffle::createTestModel_relaxed_dim3_axis1_neg();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_relaxed_dim3_axis1_neg);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_relaxed_dim3_axis1_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -2050,12 +2247,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_relaxed_dim3_axis2,
channel_shuffle::is_ignored_relaxed_dim3_axis2,
- channel_shuffle::examples_relaxed_dim3_axis2);
+ channel_shuffle::get_examples_relaxed_dim3_axis2());
}
TEST_F(ValidationTest, channel_shuffle_relaxed_dim3_axis2) {
const Model model = channel_shuffle::createTestModel_relaxed_dim3_axis2();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_relaxed_dim3_axis2);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_relaxed_dim3_axis2());
validateModel(model);
validateRequests(model, requests);
}
@@ -2065,12 +2262,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_relaxed_dim3_axis2_neg,
channel_shuffle::is_ignored_relaxed_dim3_axis2_neg,
- channel_shuffle::examples_relaxed_dim3_axis2_neg);
+ channel_shuffle::get_examples_relaxed_dim3_axis2_neg());
}
TEST_F(ValidationTest, channel_shuffle_relaxed_dim3_axis2_neg) {
const Model model = channel_shuffle::createTestModel_relaxed_dim3_axis2_neg();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_relaxed_dim3_axis2_neg);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_relaxed_dim3_axis2_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -2080,12 +2277,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_relaxed_dim2_axis0,
channel_shuffle::is_ignored_relaxed_dim2_axis0,
- channel_shuffle::examples_relaxed_dim2_axis0);
+ channel_shuffle::get_examples_relaxed_dim2_axis0());
}
TEST_F(ValidationTest, channel_shuffle_relaxed_dim2_axis0) {
const Model model = channel_shuffle::createTestModel_relaxed_dim2_axis0();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_relaxed_dim2_axis0);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_relaxed_dim2_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -2095,12 +2292,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_relaxed_dim2_axis0_neg,
channel_shuffle::is_ignored_relaxed_dim2_axis0_neg,
- channel_shuffle::examples_relaxed_dim2_axis0_neg);
+ channel_shuffle::get_examples_relaxed_dim2_axis0_neg());
}
TEST_F(ValidationTest, channel_shuffle_relaxed_dim2_axis0_neg) {
const Model model = channel_shuffle::createTestModel_relaxed_dim2_axis0_neg();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_relaxed_dim2_axis0_neg);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_relaxed_dim2_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -2110,12 +2307,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_relaxed_dim2_axis1,
channel_shuffle::is_ignored_relaxed_dim2_axis1,
- channel_shuffle::examples_relaxed_dim2_axis1);
+ channel_shuffle::get_examples_relaxed_dim2_axis1());
}
TEST_F(ValidationTest, channel_shuffle_relaxed_dim2_axis1) {
const Model model = channel_shuffle::createTestModel_relaxed_dim2_axis1();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_relaxed_dim2_axis1);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_relaxed_dim2_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -2125,12 +2322,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_relaxed_dim2_axis1_neg,
channel_shuffle::is_ignored_relaxed_dim2_axis1_neg,
- channel_shuffle::examples_relaxed_dim2_axis1_neg);
+ channel_shuffle::get_examples_relaxed_dim2_axis1_neg());
}
TEST_F(ValidationTest, channel_shuffle_relaxed_dim2_axis1_neg) {
const Model model = channel_shuffle::createTestModel_relaxed_dim2_axis1_neg();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_relaxed_dim2_axis1_neg);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_relaxed_dim2_axis1_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -2140,12 +2337,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_relaxed_dim1_axis0,
channel_shuffle::is_ignored_relaxed_dim1_axis0,
- channel_shuffle::examples_relaxed_dim1_axis0);
+ channel_shuffle::get_examples_relaxed_dim1_axis0());
}
TEST_F(ValidationTest, channel_shuffle_relaxed_dim1_axis0) {
const Model model = channel_shuffle::createTestModel_relaxed_dim1_axis0();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_relaxed_dim1_axis0);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_relaxed_dim1_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -2155,12 +2352,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_relaxed_dim1_axis0_neg,
channel_shuffle::is_ignored_relaxed_dim1_axis0_neg,
- channel_shuffle::examples_relaxed_dim1_axis0_neg);
+ channel_shuffle::get_examples_relaxed_dim1_axis0_neg());
}
TEST_F(ValidationTest, channel_shuffle_relaxed_dim1_axis0_neg) {
const Model model = channel_shuffle::createTestModel_relaxed_dim1_axis0_neg();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_relaxed_dim1_axis0_neg);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_relaxed_dim1_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -2170,12 +2367,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_quant8_dim4_axis0,
channel_shuffle::is_ignored_quant8_dim4_axis0,
- channel_shuffle::examples_quant8_dim4_axis0);
+ channel_shuffle::get_examples_quant8_dim4_axis0());
}
TEST_F(ValidationTest, channel_shuffle_quant8_dim4_axis0) {
const Model model = channel_shuffle::createTestModel_quant8_dim4_axis0();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_quant8_dim4_axis0);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_quant8_dim4_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -2185,12 +2382,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_quant8_dim4_axis0_neg,
channel_shuffle::is_ignored_quant8_dim4_axis0_neg,
- channel_shuffle::examples_quant8_dim4_axis0_neg);
+ channel_shuffle::get_examples_quant8_dim4_axis0_neg());
}
TEST_F(ValidationTest, channel_shuffle_quant8_dim4_axis0_neg) {
const Model model = channel_shuffle::createTestModel_quant8_dim4_axis0_neg();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_quant8_dim4_axis0_neg);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_quant8_dim4_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -2200,12 +2397,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_quant8_dim4_axis1,
channel_shuffle::is_ignored_quant8_dim4_axis1,
- channel_shuffle::examples_quant8_dim4_axis1);
+ channel_shuffle::get_examples_quant8_dim4_axis1());
}
TEST_F(ValidationTest, channel_shuffle_quant8_dim4_axis1) {
const Model model = channel_shuffle::createTestModel_quant8_dim4_axis1();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_quant8_dim4_axis1);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_quant8_dim4_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -2215,12 +2412,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_quant8_dim4_axis1_neg,
channel_shuffle::is_ignored_quant8_dim4_axis1_neg,
- channel_shuffle::examples_quant8_dim4_axis1_neg);
+ channel_shuffle::get_examples_quant8_dim4_axis1_neg());
}
TEST_F(ValidationTest, channel_shuffle_quant8_dim4_axis1_neg) {
const Model model = channel_shuffle::createTestModel_quant8_dim4_axis1_neg();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_quant8_dim4_axis1_neg);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_quant8_dim4_axis1_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -2230,12 +2427,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_quant8_dim4_axis2,
channel_shuffle::is_ignored_quant8_dim4_axis2,
- channel_shuffle::examples_quant8_dim4_axis2);
+ channel_shuffle::get_examples_quant8_dim4_axis2());
}
TEST_F(ValidationTest, channel_shuffle_quant8_dim4_axis2) {
const Model model = channel_shuffle::createTestModel_quant8_dim4_axis2();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_quant8_dim4_axis2);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_quant8_dim4_axis2());
validateModel(model);
validateRequests(model, requests);
}
@@ -2245,12 +2442,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_quant8_dim4_axis2_neg,
channel_shuffle::is_ignored_quant8_dim4_axis2_neg,
- channel_shuffle::examples_quant8_dim4_axis2_neg);
+ channel_shuffle::get_examples_quant8_dim4_axis2_neg());
}
TEST_F(ValidationTest, channel_shuffle_quant8_dim4_axis2_neg) {
const Model model = channel_shuffle::createTestModel_quant8_dim4_axis2_neg();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_quant8_dim4_axis2_neg);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_quant8_dim4_axis2_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -2260,12 +2457,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_quant8_dim4_axis3,
channel_shuffle::is_ignored_quant8_dim4_axis3,
- channel_shuffle::examples_quant8_dim4_axis3);
+ channel_shuffle::get_examples_quant8_dim4_axis3());
}
TEST_F(ValidationTest, channel_shuffle_quant8_dim4_axis3) {
const Model model = channel_shuffle::createTestModel_quant8_dim4_axis3();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_quant8_dim4_axis3);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_quant8_dim4_axis3());
validateModel(model);
validateRequests(model, requests);
}
@@ -2275,12 +2472,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_quant8_dim4_axis3_neg,
channel_shuffle::is_ignored_quant8_dim4_axis3_neg,
- channel_shuffle::examples_quant8_dim4_axis3_neg);
+ channel_shuffle::get_examples_quant8_dim4_axis3_neg());
}
TEST_F(ValidationTest, channel_shuffle_quant8_dim4_axis3_neg) {
const Model model = channel_shuffle::createTestModel_quant8_dim4_axis3_neg();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_quant8_dim4_axis3_neg);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_quant8_dim4_axis3_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -2290,12 +2487,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_quant8_dim3_axis0,
channel_shuffle::is_ignored_quant8_dim3_axis0,
- channel_shuffle::examples_quant8_dim3_axis0);
+ channel_shuffle::get_examples_quant8_dim3_axis0());
}
TEST_F(ValidationTest, channel_shuffle_quant8_dim3_axis0) {
const Model model = channel_shuffle::createTestModel_quant8_dim3_axis0();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_quant8_dim3_axis0);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_quant8_dim3_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -2305,12 +2502,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_quant8_dim3_axis0_neg,
channel_shuffle::is_ignored_quant8_dim3_axis0_neg,
- channel_shuffle::examples_quant8_dim3_axis0_neg);
+ channel_shuffle::get_examples_quant8_dim3_axis0_neg());
}
TEST_F(ValidationTest, channel_shuffle_quant8_dim3_axis0_neg) {
const Model model = channel_shuffle::createTestModel_quant8_dim3_axis0_neg();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_quant8_dim3_axis0_neg);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_quant8_dim3_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -2320,12 +2517,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_quant8_dim3_axis1,
channel_shuffle::is_ignored_quant8_dim3_axis1,
- channel_shuffle::examples_quant8_dim3_axis1);
+ channel_shuffle::get_examples_quant8_dim3_axis1());
}
TEST_F(ValidationTest, channel_shuffle_quant8_dim3_axis1) {
const Model model = channel_shuffle::createTestModel_quant8_dim3_axis1();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_quant8_dim3_axis1);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_quant8_dim3_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -2335,12 +2532,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_quant8_dim3_axis1_neg,
channel_shuffle::is_ignored_quant8_dim3_axis1_neg,
- channel_shuffle::examples_quant8_dim3_axis1_neg);
+ channel_shuffle::get_examples_quant8_dim3_axis1_neg());
}
TEST_F(ValidationTest, channel_shuffle_quant8_dim3_axis1_neg) {
const Model model = channel_shuffle::createTestModel_quant8_dim3_axis1_neg();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_quant8_dim3_axis1_neg);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_quant8_dim3_axis1_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -2350,12 +2547,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_quant8_dim3_axis2,
channel_shuffle::is_ignored_quant8_dim3_axis2,
- channel_shuffle::examples_quant8_dim3_axis2);
+ channel_shuffle::get_examples_quant8_dim3_axis2());
}
TEST_F(ValidationTest, channel_shuffle_quant8_dim3_axis2) {
const Model model = channel_shuffle::createTestModel_quant8_dim3_axis2();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_quant8_dim3_axis2);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_quant8_dim3_axis2());
validateModel(model);
validateRequests(model, requests);
}
@@ -2365,12 +2562,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_quant8_dim3_axis2_neg,
channel_shuffle::is_ignored_quant8_dim3_axis2_neg,
- channel_shuffle::examples_quant8_dim3_axis2_neg);
+ channel_shuffle::get_examples_quant8_dim3_axis2_neg());
}
TEST_F(ValidationTest, channel_shuffle_quant8_dim3_axis2_neg) {
const Model model = channel_shuffle::createTestModel_quant8_dim3_axis2_neg();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_quant8_dim3_axis2_neg);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_quant8_dim3_axis2_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -2380,12 +2577,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_quant8_dim2_axis0,
channel_shuffle::is_ignored_quant8_dim2_axis0,
- channel_shuffle::examples_quant8_dim2_axis0);
+ channel_shuffle::get_examples_quant8_dim2_axis0());
}
TEST_F(ValidationTest, channel_shuffle_quant8_dim2_axis0) {
const Model model = channel_shuffle::createTestModel_quant8_dim2_axis0();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_quant8_dim2_axis0);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_quant8_dim2_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -2395,12 +2592,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_quant8_dim2_axis0_neg,
channel_shuffle::is_ignored_quant8_dim2_axis0_neg,
- channel_shuffle::examples_quant8_dim2_axis0_neg);
+ channel_shuffle::get_examples_quant8_dim2_axis0_neg());
}
TEST_F(ValidationTest, channel_shuffle_quant8_dim2_axis0_neg) {
const Model model = channel_shuffle::createTestModel_quant8_dim2_axis0_neg();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_quant8_dim2_axis0_neg);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_quant8_dim2_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -2410,12 +2607,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_quant8_dim2_axis1,
channel_shuffle::is_ignored_quant8_dim2_axis1,
- channel_shuffle::examples_quant8_dim2_axis1);
+ channel_shuffle::get_examples_quant8_dim2_axis1());
}
TEST_F(ValidationTest, channel_shuffle_quant8_dim2_axis1) {
const Model model = channel_shuffle::createTestModel_quant8_dim2_axis1();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_quant8_dim2_axis1);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_quant8_dim2_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -2425,12 +2622,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_quant8_dim2_axis1_neg,
channel_shuffle::is_ignored_quant8_dim2_axis1_neg,
- channel_shuffle::examples_quant8_dim2_axis1_neg);
+ channel_shuffle::get_examples_quant8_dim2_axis1_neg());
}
TEST_F(ValidationTest, channel_shuffle_quant8_dim2_axis1_neg) {
const Model model = channel_shuffle::createTestModel_quant8_dim2_axis1_neg();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_quant8_dim2_axis1_neg);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_quant8_dim2_axis1_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -2440,12 +2637,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_quant8_dim1_axis0,
channel_shuffle::is_ignored_quant8_dim1_axis0,
- channel_shuffle::examples_quant8_dim1_axis0);
+ channel_shuffle::get_examples_quant8_dim1_axis0());
}
TEST_F(ValidationTest, channel_shuffle_quant8_dim1_axis0) {
const Model model = channel_shuffle::createTestModel_quant8_dim1_axis0();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_quant8_dim1_axis0);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_quant8_dim1_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -2455,12 +2652,12 @@
generated_tests::Execute(device,
channel_shuffle::createTestModel_quant8_dim1_axis0_neg,
channel_shuffle::is_ignored_quant8_dim1_axis0_neg,
- channel_shuffle::examples_quant8_dim1_axis0_neg);
+ channel_shuffle::get_examples_quant8_dim1_axis0_neg());
}
TEST_F(ValidationTest, channel_shuffle_quant8_dim1_axis0_neg) {
const Model model = channel_shuffle::createTestModel_quant8_dim1_axis0_neg();
- const std::vector<Request> requests = createRequests(channel_shuffle::examples_quant8_dim1_axis0_neg);
+ const std::vector<Request> requests = createRequests(channel_shuffle::get_examples_quant8_dim1_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -2478,12 +2675,12 @@
generated_tests::Execute(device,
concat_float16_1::createTestModel,
concat_float16_1::is_ignored,
- concat_float16_1::examples);
+ concat_float16_1::get_examples());
}
TEST_F(ValidationTest, concat_float16_1) {
const Model model = concat_float16_1::createTestModel();
- const std::vector<Request> requests = createRequests(concat_float16_1::examples);
+ const std::vector<Request> requests = createRequests(concat_float16_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2501,12 +2698,12 @@
generated_tests::Execute(device,
concat_float16_2::createTestModel,
concat_float16_2::is_ignored,
- concat_float16_2::examples);
+ concat_float16_2::get_examples());
}
TEST_F(ValidationTest, concat_float16_2) {
const Model model = concat_float16_2::createTestModel();
- const std::vector<Request> requests = createRequests(concat_float16_2::examples);
+ const std::vector<Request> requests = createRequests(concat_float16_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -2524,12 +2721,50 @@
generated_tests::Execute(device,
concat_float16_3::createTestModel,
concat_float16_3::is_ignored,
- concat_float16_3::examples);
+ concat_float16_3::get_examples());
}
TEST_F(ValidationTest, concat_float16_3) {
const Model model = concat_float16_3::createTestModel();
- const std::vector<Request> requests = createRequests(concat_float16_3::examples);
+ const std::vector<Request> requests = createRequests(concat_float16_3::get_examples());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+// Generated from: concat_mixed_quant.mod.py.
+namespace concat_mixed_quant {
+// Generated concat_mixed_quant test
+#include "examples/concat_mixed_quant.example.cpp"
+// Generated model constructor
+#include "vts_models/concat_mixed_quant.model.cpp"
+} // namespace concat_mixed_quant
+
+TEST_F(NeuralnetworksHidlTest, concat_mixed_quant_quant8) {
+ generated_tests::Execute(device,
+ concat_mixed_quant::createTestModel_quant8,
+ concat_mixed_quant::is_ignored_quant8,
+ concat_mixed_quant::get_examples_quant8());
+}
+
+TEST_F(ValidationTest, concat_mixed_quant_quant8) {
+ const Model model = concat_mixed_quant::createTestModel_quant8();
+ const std::vector<Request> requests = createRequests(concat_mixed_quant::get_examples_quant8());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, concat_mixed_quant_quant8_2) {
+ generated_tests::Execute(device,
+ concat_mixed_quant::createTestModel_quant8_2,
+ concat_mixed_quant::is_ignored_quant8_2,
+ concat_mixed_quant::get_examples_quant8_2());
+}
+
+TEST_F(ValidationTest, concat_mixed_quant_quant8_2) {
+ const Model model = concat_mixed_quant::createTestModel_quant8_2();
+ const std::vector<Request> requests = createRequests(concat_mixed_quant::get_examples_quant8_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -2547,12 +2782,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_nhwc,
conv2d_v1_2::is_ignored_nhwc,
- conv2d_v1_2::examples_nhwc);
+ conv2d_v1_2::get_examples_nhwc());
}
TEST_F(ValidationTest, conv2d_v1_2_nhwc) {
const Model model = conv2d_v1_2::createTestModel_nhwc();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_nhwc);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_nhwc());
validateModel(model);
validateRequests(model, requests);
}
@@ -2562,12 +2797,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_nhwc_relaxed,
conv2d_v1_2::is_ignored_nhwc_relaxed,
- conv2d_v1_2::examples_nhwc_relaxed);
+ conv2d_v1_2::get_examples_nhwc_relaxed());
}
TEST_F(ValidationTest, conv2d_v1_2_nhwc_relaxed) {
const Model model = conv2d_v1_2::createTestModel_nhwc_relaxed();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_nhwc_relaxed);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_nhwc_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -2577,12 +2812,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_nhwc_quant8,
conv2d_v1_2::is_ignored_nhwc_quant8,
- conv2d_v1_2::examples_nhwc_quant8);
+ conv2d_v1_2::get_examples_nhwc_quant8());
}
TEST_F(ValidationTest, conv2d_v1_2_nhwc_quant8) {
const Model model = conv2d_v1_2::createTestModel_nhwc_quant8();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_nhwc_quant8);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_nhwc_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -2592,12 +2827,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_nhwc_weight_as_input,
conv2d_v1_2::is_ignored_nhwc_weight_as_input,
- conv2d_v1_2::examples_nhwc_weight_as_input);
+ conv2d_v1_2::get_examples_nhwc_weight_as_input());
}
TEST_F(ValidationTest, conv2d_v1_2_nhwc_weight_as_input) {
const Model model = conv2d_v1_2::createTestModel_nhwc_weight_as_input();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_nhwc_weight_as_input);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_nhwc_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -2607,12 +2842,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_nhwc_weight_as_input_relaxed,
conv2d_v1_2::is_ignored_nhwc_weight_as_input_relaxed,
- conv2d_v1_2::examples_nhwc_weight_as_input_relaxed);
+ conv2d_v1_2::get_examples_nhwc_weight_as_input_relaxed());
}
TEST_F(ValidationTest, conv2d_v1_2_nhwc_weight_as_input_relaxed) {
const Model model = conv2d_v1_2::createTestModel_nhwc_weight_as_input_relaxed();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_nhwc_weight_as_input_relaxed);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_nhwc_weight_as_input_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -2622,12 +2857,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_nhwc_weight_as_input_quant8,
conv2d_v1_2::is_ignored_nhwc_weight_as_input_quant8,
- conv2d_v1_2::examples_nhwc_weight_as_input_quant8);
+ conv2d_v1_2::get_examples_nhwc_weight_as_input_quant8());
}
TEST_F(ValidationTest, conv2d_v1_2_nhwc_weight_as_input_quant8) {
const Model model = conv2d_v1_2::createTestModel_nhwc_weight_as_input_quant8();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_nhwc_weight_as_input_quant8);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_nhwc_weight_as_input_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -2637,12 +2872,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_nchw,
conv2d_v1_2::is_ignored_nchw,
- conv2d_v1_2::examples_nchw);
+ conv2d_v1_2::get_examples_nchw());
}
TEST_F(ValidationTest, conv2d_v1_2_nchw) {
const Model model = conv2d_v1_2::createTestModel_nchw();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_nchw);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_nchw());
validateModel(model);
validateRequests(model, requests);
}
@@ -2652,12 +2887,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_nchw_relaxed,
conv2d_v1_2::is_ignored_nchw_relaxed,
- conv2d_v1_2::examples_nchw_relaxed);
+ conv2d_v1_2::get_examples_nchw_relaxed());
}
TEST_F(ValidationTest, conv2d_v1_2_nchw_relaxed) {
const Model model = conv2d_v1_2::createTestModel_nchw_relaxed();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_nchw_relaxed);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_nchw_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -2667,12 +2902,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_nchw_quant8,
conv2d_v1_2::is_ignored_nchw_quant8,
- conv2d_v1_2::examples_nchw_quant8);
+ conv2d_v1_2::get_examples_nchw_quant8());
}
TEST_F(ValidationTest, conv2d_v1_2_nchw_quant8) {
const Model model = conv2d_v1_2::createTestModel_nchw_quant8();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_nchw_quant8);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_nchw_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -2682,12 +2917,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_nchw_weight_as_input,
conv2d_v1_2::is_ignored_nchw_weight_as_input,
- conv2d_v1_2::examples_nchw_weight_as_input);
+ conv2d_v1_2::get_examples_nchw_weight_as_input());
}
TEST_F(ValidationTest, conv2d_v1_2_nchw_weight_as_input) {
const Model model = conv2d_v1_2::createTestModel_nchw_weight_as_input();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_nchw_weight_as_input);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_nchw_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -2697,12 +2932,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_nchw_weight_as_input_relaxed,
conv2d_v1_2::is_ignored_nchw_weight_as_input_relaxed,
- conv2d_v1_2::examples_nchw_weight_as_input_relaxed);
+ conv2d_v1_2::get_examples_nchw_weight_as_input_relaxed());
}
TEST_F(ValidationTest, conv2d_v1_2_nchw_weight_as_input_relaxed) {
const Model model = conv2d_v1_2::createTestModel_nchw_weight_as_input_relaxed();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_nchw_weight_as_input_relaxed);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_nchw_weight_as_input_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -2712,12 +2947,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_nchw_weight_as_input_quant8,
conv2d_v1_2::is_ignored_nchw_weight_as_input_quant8,
- conv2d_v1_2::examples_nchw_weight_as_input_quant8);
+ conv2d_v1_2::get_examples_nchw_weight_as_input_quant8());
}
TEST_F(ValidationTest, conv2d_v1_2_nchw_weight_as_input_quant8) {
const Model model = conv2d_v1_2::createTestModel_nchw_weight_as_input_quant8();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_nchw_weight_as_input_quant8);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_nchw_weight_as_input_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -2727,12 +2962,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_nhwc_2,
conv2d_v1_2::is_ignored_nhwc_2,
- conv2d_v1_2::examples_nhwc_2);
+ conv2d_v1_2::get_examples_nhwc_2());
}
TEST_F(ValidationTest, conv2d_v1_2_nhwc_2) {
const Model model = conv2d_v1_2::createTestModel_nhwc_2();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_nhwc_2);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_nhwc_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -2742,12 +2977,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_nhwc_relaxed_2,
conv2d_v1_2::is_ignored_nhwc_relaxed_2,
- conv2d_v1_2::examples_nhwc_relaxed_2);
+ conv2d_v1_2::get_examples_nhwc_relaxed_2());
}
TEST_F(ValidationTest, conv2d_v1_2_nhwc_relaxed_2) {
const Model model = conv2d_v1_2::createTestModel_nhwc_relaxed_2();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_nhwc_relaxed_2);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_nhwc_relaxed_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -2757,12 +2992,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_nhwc_quant8_2,
conv2d_v1_2::is_ignored_nhwc_quant8_2,
- conv2d_v1_2::examples_nhwc_quant8_2);
+ conv2d_v1_2::get_examples_nhwc_quant8_2());
}
TEST_F(ValidationTest, conv2d_v1_2_nhwc_quant8_2) {
const Model model = conv2d_v1_2::createTestModel_nhwc_quant8_2();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_nhwc_quant8_2);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_nhwc_quant8_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -2772,12 +3007,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_nhwc_weight_as_input_2,
conv2d_v1_2::is_ignored_nhwc_weight_as_input_2,
- conv2d_v1_2::examples_nhwc_weight_as_input_2);
+ conv2d_v1_2::get_examples_nhwc_weight_as_input_2());
}
TEST_F(ValidationTest, conv2d_v1_2_nhwc_weight_as_input_2) {
const Model model = conv2d_v1_2::createTestModel_nhwc_weight_as_input_2();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_nhwc_weight_as_input_2);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_nhwc_weight_as_input_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -2787,12 +3022,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_nhwc_weight_as_input_relaxed_2,
conv2d_v1_2::is_ignored_nhwc_weight_as_input_relaxed_2,
- conv2d_v1_2::examples_nhwc_weight_as_input_relaxed_2);
+ conv2d_v1_2::get_examples_nhwc_weight_as_input_relaxed_2());
}
TEST_F(ValidationTest, conv2d_v1_2_nhwc_weight_as_input_relaxed_2) {
const Model model = conv2d_v1_2::createTestModel_nhwc_weight_as_input_relaxed_2();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_nhwc_weight_as_input_relaxed_2);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_nhwc_weight_as_input_relaxed_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -2802,12 +3037,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_nhwc_weight_as_input_quant8_2,
conv2d_v1_2::is_ignored_nhwc_weight_as_input_quant8_2,
- conv2d_v1_2::examples_nhwc_weight_as_input_quant8_2);
+ conv2d_v1_2::get_examples_nhwc_weight_as_input_quant8_2());
}
TEST_F(ValidationTest, conv2d_v1_2_nhwc_weight_as_input_quant8_2) {
const Model model = conv2d_v1_2::createTestModel_nhwc_weight_as_input_quant8_2();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_nhwc_weight_as_input_quant8_2);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_nhwc_weight_as_input_quant8_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -2817,12 +3052,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_nchw_2,
conv2d_v1_2::is_ignored_nchw_2,
- conv2d_v1_2::examples_nchw_2);
+ conv2d_v1_2::get_examples_nchw_2());
}
TEST_F(ValidationTest, conv2d_v1_2_nchw_2) {
const Model model = conv2d_v1_2::createTestModel_nchw_2();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_nchw_2);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_nchw_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -2832,12 +3067,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_nchw_relaxed_2,
conv2d_v1_2::is_ignored_nchw_relaxed_2,
- conv2d_v1_2::examples_nchw_relaxed_2);
+ conv2d_v1_2::get_examples_nchw_relaxed_2());
}
TEST_F(ValidationTest, conv2d_v1_2_nchw_relaxed_2) {
const Model model = conv2d_v1_2::createTestModel_nchw_relaxed_2();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_nchw_relaxed_2);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_nchw_relaxed_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -2847,12 +3082,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_nchw_quant8_2,
conv2d_v1_2::is_ignored_nchw_quant8_2,
- conv2d_v1_2::examples_nchw_quant8_2);
+ conv2d_v1_2::get_examples_nchw_quant8_2());
}
TEST_F(ValidationTest, conv2d_v1_2_nchw_quant8_2) {
const Model model = conv2d_v1_2::createTestModel_nchw_quant8_2();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_nchw_quant8_2);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_nchw_quant8_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -2862,12 +3097,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_nchw_weight_as_input_2,
conv2d_v1_2::is_ignored_nchw_weight_as_input_2,
- conv2d_v1_2::examples_nchw_weight_as_input_2);
+ conv2d_v1_2::get_examples_nchw_weight_as_input_2());
}
TEST_F(ValidationTest, conv2d_v1_2_nchw_weight_as_input_2) {
const Model model = conv2d_v1_2::createTestModel_nchw_weight_as_input_2();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_nchw_weight_as_input_2);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_nchw_weight_as_input_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -2877,12 +3112,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_nchw_weight_as_input_relaxed_2,
conv2d_v1_2::is_ignored_nchw_weight_as_input_relaxed_2,
- conv2d_v1_2::examples_nchw_weight_as_input_relaxed_2);
+ conv2d_v1_2::get_examples_nchw_weight_as_input_relaxed_2());
}
TEST_F(ValidationTest, conv2d_v1_2_nchw_weight_as_input_relaxed_2) {
const Model model = conv2d_v1_2::createTestModel_nchw_weight_as_input_relaxed_2();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_nchw_weight_as_input_relaxed_2);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_nchw_weight_as_input_relaxed_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -2892,12 +3127,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_nchw_weight_as_input_quant8_2,
conv2d_v1_2::is_ignored_nchw_weight_as_input_quant8_2,
- conv2d_v1_2::examples_nchw_weight_as_input_quant8_2);
+ conv2d_v1_2::get_examples_nchw_weight_as_input_quant8_2());
}
TEST_F(ValidationTest, conv2d_v1_2_nchw_weight_as_input_quant8_2) {
const Model model = conv2d_v1_2::createTestModel_nchw_weight_as_input_quant8_2();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_nchw_weight_as_input_quant8_2);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_nchw_weight_as_input_quant8_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -2907,12 +3142,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_channel_nhwc,
conv2d_v1_2::is_ignored_channel_nhwc,
- conv2d_v1_2::examples_channel_nhwc);
+ conv2d_v1_2::get_examples_channel_nhwc());
}
TEST_F(ValidationTest, conv2d_v1_2_channel_nhwc) {
const Model model = conv2d_v1_2::createTestModel_channel_nhwc();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_channel_nhwc);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_channel_nhwc());
validateModel(model);
validateRequests(model, requests);
}
@@ -2922,12 +3157,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_channel_nhwc_relaxed,
conv2d_v1_2::is_ignored_channel_nhwc_relaxed,
- conv2d_v1_2::examples_channel_nhwc_relaxed);
+ conv2d_v1_2::get_examples_channel_nhwc_relaxed());
}
TEST_F(ValidationTest, conv2d_v1_2_channel_nhwc_relaxed) {
const Model model = conv2d_v1_2::createTestModel_channel_nhwc_relaxed();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_channel_nhwc_relaxed);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_channel_nhwc_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -2937,12 +3172,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_channel_nhwc_quant8,
conv2d_v1_2::is_ignored_channel_nhwc_quant8,
- conv2d_v1_2::examples_channel_nhwc_quant8);
+ conv2d_v1_2::get_examples_channel_nhwc_quant8());
}
TEST_F(ValidationTest, conv2d_v1_2_channel_nhwc_quant8) {
const Model model = conv2d_v1_2::createTestModel_channel_nhwc_quant8();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_channel_nhwc_quant8);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_channel_nhwc_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -2952,12 +3187,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_channel_nhwc_weight_as_input,
conv2d_v1_2::is_ignored_channel_nhwc_weight_as_input,
- conv2d_v1_2::examples_channel_nhwc_weight_as_input);
+ conv2d_v1_2::get_examples_channel_nhwc_weight_as_input());
}
TEST_F(ValidationTest, conv2d_v1_2_channel_nhwc_weight_as_input) {
const Model model = conv2d_v1_2::createTestModel_channel_nhwc_weight_as_input();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_channel_nhwc_weight_as_input);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_channel_nhwc_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -2967,12 +3202,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_channel_nhwc_weight_as_input_relaxed,
conv2d_v1_2::is_ignored_channel_nhwc_weight_as_input_relaxed,
- conv2d_v1_2::examples_channel_nhwc_weight_as_input_relaxed);
+ conv2d_v1_2::get_examples_channel_nhwc_weight_as_input_relaxed());
}
TEST_F(ValidationTest, conv2d_v1_2_channel_nhwc_weight_as_input_relaxed) {
const Model model = conv2d_v1_2::createTestModel_channel_nhwc_weight_as_input_relaxed();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_channel_nhwc_weight_as_input_relaxed);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_channel_nhwc_weight_as_input_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -2982,12 +3217,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_channel_nhwc_weight_as_input_quant8,
conv2d_v1_2::is_ignored_channel_nhwc_weight_as_input_quant8,
- conv2d_v1_2::examples_channel_nhwc_weight_as_input_quant8);
+ conv2d_v1_2::get_examples_channel_nhwc_weight_as_input_quant8());
}
TEST_F(ValidationTest, conv2d_v1_2_channel_nhwc_weight_as_input_quant8) {
const Model model = conv2d_v1_2::createTestModel_channel_nhwc_weight_as_input_quant8();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_channel_nhwc_weight_as_input_quant8);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_channel_nhwc_weight_as_input_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -2997,12 +3232,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_channel_nchw,
conv2d_v1_2::is_ignored_channel_nchw,
- conv2d_v1_2::examples_channel_nchw);
+ conv2d_v1_2::get_examples_channel_nchw());
}
TEST_F(ValidationTest, conv2d_v1_2_channel_nchw) {
const Model model = conv2d_v1_2::createTestModel_channel_nchw();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_channel_nchw);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_channel_nchw());
validateModel(model);
validateRequests(model, requests);
}
@@ -3012,12 +3247,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_channel_nchw_relaxed,
conv2d_v1_2::is_ignored_channel_nchw_relaxed,
- conv2d_v1_2::examples_channel_nchw_relaxed);
+ conv2d_v1_2::get_examples_channel_nchw_relaxed());
}
TEST_F(ValidationTest, conv2d_v1_2_channel_nchw_relaxed) {
const Model model = conv2d_v1_2::createTestModel_channel_nchw_relaxed();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_channel_nchw_relaxed);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_channel_nchw_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -3027,12 +3262,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_channel_nchw_quant8,
conv2d_v1_2::is_ignored_channel_nchw_quant8,
- conv2d_v1_2::examples_channel_nchw_quant8);
+ conv2d_v1_2::get_examples_channel_nchw_quant8());
}
TEST_F(ValidationTest, conv2d_v1_2_channel_nchw_quant8) {
const Model model = conv2d_v1_2::createTestModel_channel_nchw_quant8();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_channel_nchw_quant8);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_channel_nchw_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -3042,12 +3277,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_channel_nchw_weight_as_input,
conv2d_v1_2::is_ignored_channel_nchw_weight_as_input,
- conv2d_v1_2::examples_channel_nchw_weight_as_input);
+ conv2d_v1_2::get_examples_channel_nchw_weight_as_input());
}
TEST_F(ValidationTest, conv2d_v1_2_channel_nchw_weight_as_input) {
const Model model = conv2d_v1_2::createTestModel_channel_nchw_weight_as_input();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_channel_nchw_weight_as_input);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_channel_nchw_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -3057,12 +3292,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_channel_nchw_weight_as_input_relaxed,
conv2d_v1_2::is_ignored_channel_nchw_weight_as_input_relaxed,
- conv2d_v1_2::examples_channel_nchw_weight_as_input_relaxed);
+ conv2d_v1_2::get_examples_channel_nchw_weight_as_input_relaxed());
}
TEST_F(ValidationTest, conv2d_v1_2_channel_nchw_weight_as_input_relaxed) {
const Model model = conv2d_v1_2::createTestModel_channel_nchw_weight_as_input_relaxed();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_channel_nchw_weight_as_input_relaxed);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_channel_nchw_weight_as_input_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -3072,12 +3307,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_channel_nchw_weight_as_input_quant8,
conv2d_v1_2::is_ignored_channel_nchw_weight_as_input_quant8,
- conv2d_v1_2::examples_channel_nchw_weight_as_input_quant8);
+ conv2d_v1_2::get_examples_channel_nchw_weight_as_input_quant8());
}
TEST_F(ValidationTest, conv2d_v1_2_channel_nchw_weight_as_input_quant8) {
const Model model = conv2d_v1_2::createTestModel_channel_nchw_weight_as_input_quant8();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_channel_nchw_weight_as_input_quant8);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_channel_nchw_weight_as_input_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -3087,12 +3322,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_large_nhwc,
conv2d_v1_2::is_ignored_large_nhwc,
- conv2d_v1_2::examples_large_nhwc);
+ conv2d_v1_2::get_examples_large_nhwc());
}
TEST_F(ValidationTest, conv2d_v1_2_large_nhwc) {
const Model model = conv2d_v1_2::createTestModel_large_nhwc();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_large_nhwc);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_large_nhwc());
validateModel(model);
validateRequests(model, requests);
}
@@ -3102,12 +3337,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_large_nhwc_relaxed,
conv2d_v1_2::is_ignored_large_nhwc_relaxed,
- conv2d_v1_2::examples_large_nhwc_relaxed);
+ conv2d_v1_2::get_examples_large_nhwc_relaxed());
}
TEST_F(ValidationTest, conv2d_v1_2_large_nhwc_relaxed) {
const Model model = conv2d_v1_2::createTestModel_large_nhwc_relaxed();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_large_nhwc_relaxed);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_large_nhwc_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -3117,12 +3352,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_large_nhwc_quant8,
conv2d_v1_2::is_ignored_large_nhwc_quant8,
- conv2d_v1_2::examples_large_nhwc_quant8);
+ conv2d_v1_2::get_examples_large_nhwc_quant8());
}
TEST_F(ValidationTest, conv2d_v1_2_large_nhwc_quant8) {
const Model model = conv2d_v1_2::createTestModel_large_nhwc_quant8();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_large_nhwc_quant8);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_large_nhwc_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -3132,12 +3367,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_large_nhwc_weight_as_input,
conv2d_v1_2::is_ignored_large_nhwc_weight_as_input,
- conv2d_v1_2::examples_large_nhwc_weight_as_input);
+ conv2d_v1_2::get_examples_large_nhwc_weight_as_input());
}
TEST_F(ValidationTest, conv2d_v1_2_large_nhwc_weight_as_input) {
const Model model = conv2d_v1_2::createTestModel_large_nhwc_weight_as_input();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_large_nhwc_weight_as_input);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_large_nhwc_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -3147,12 +3382,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_large_nhwc_weight_as_input_relaxed,
conv2d_v1_2::is_ignored_large_nhwc_weight_as_input_relaxed,
- conv2d_v1_2::examples_large_nhwc_weight_as_input_relaxed);
+ conv2d_v1_2::get_examples_large_nhwc_weight_as_input_relaxed());
}
TEST_F(ValidationTest, conv2d_v1_2_large_nhwc_weight_as_input_relaxed) {
const Model model = conv2d_v1_2::createTestModel_large_nhwc_weight_as_input_relaxed();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_large_nhwc_weight_as_input_relaxed);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_large_nhwc_weight_as_input_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -3162,12 +3397,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_large_nhwc_weight_as_input_quant8,
conv2d_v1_2::is_ignored_large_nhwc_weight_as_input_quant8,
- conv2d_v1_2::examples_large_nhwc_weight_as_input_quant8);
+ conv2d_v1_2::get_examples_large_nhwc_weight_as_input_quant8());
}
TEST_F(ValidationTest, conv2d_v1_2_large_nhwc_weight_as_input_quant8) {
const Model model = conv2d_v1_2::createTestModel_large_nhwc_weight_as_input_quant8();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_large_nhwc_weight_as_input_quant8);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_large_nhwc_weight_as_input_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -3177,12 +3412,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_large_nchw,
conv2d_v1_2::is_ignored_large_nchw,
- conv2d_v1_2::examples_large_nchw);
+ conv2d_v1_2::get_examples_large_nchw());
}
TEST_F(ValidationTest, conv2d_v1_2_large_nchw) {
const Model model = conv2d_v1_2::createTestModel_large_nchw();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_large_nchw);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_large_nchw());
validateModel(model);
validateRequests(model, requests);
}
@@ -3192,12 +3427,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_large_nchw_relaxed,
conv2d_v1_2::is_ignored_large_nchw_relaxed,
- conv2d_v1_2::examples_large_nchw_relaxed);
+ conv2d_v1_2::get_examples_large_nchw_relaxed());
}
TEST_F(ValidationTest, conv2d_v1_2_large_nchw_relaxed) {
const Model model = conv2d_v1_2::createTestModel_large_nchw_relaxed();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_large_nchw_relaxed);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_large_nchw_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -3207,12 +3442,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_large_nchw_quant8,
conv2d_v1_2::is_ignored_large_nchw_quant8,
- conv2d_v1_2::examples_large_nchw_quant8);
+ conv2d_v1_2::get_examples_large_nchw_quant8());
}
TEST_F(ValidationTest, conv2d_v1_2_large_nchw_quant8) {
const Model model = conv2d_v1_2::createTestModel_large_nchw_quant8();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_large_nchw_quant8);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_large_nchw_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -3222,12 +3457,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_large_nchw_weight_as_input,
conv2d_v1_2::is_ignored_large_nchw_weight_as_input,
- conv2d_v1_2::examples_large_nchw_weight_as_input);
+ conv2d_v1_2::get_examples_large_nchw_weight_as_input());
}
TEST_F(ValidationTest, conv2d_v1_2_large_nchw_weight_as_input) {
const Model model = conv2d_v1_2::createTestModel_large_nchw_weight_as_input();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_large_nchw_weight_as_input);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_large_nchw_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -3237,12 +3472,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_large_nchw_weight_as_input_relaxed,
conv2d_v1_2::is_ignored_large_nchw_weight_as_input_relaxed,
- conv2d_v1_2::examples_large_nchw_weight_as_input_relaxed);
+ conv2d_v1_2::get_examples_large_nchw_weight_as_input_relaxed());
}
TEST_F(ValidationTest, conv2d_v1_2_large_nchw_weight_as_input_relaxed) {
const Model model = conv2d_v1_2::createTestModel_large_nchw_weight_as_input_relaxed();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_large_nchw_weight_as_input_relaxed);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_large_nchw_weight_as_input_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -3252,12 +3487,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_large_nchw_weight_as_input_quant8,
conv2d_v1_2::is_ignored_large_nchw_weight_as_input_quant8,
- conv2d_v1_2::examples_large_nchw_weight_as_input_quant8);
+ conv2d_v1_2::get_examples_large_nchw_weight_as_input_quant8());
}
TEST_F(ValidationTest, conv2d_v1_2_large_nchw_weight_as_input_quant8) {
const Model model = conv2d_v1_2::createTestModel_large_nchw_weight_as_input_quant8();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_large_nchw_weight_as_input_quant8);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_large_nchw_weight_as_input_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -3267,12 +3502,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_1_H3_W2_SAME_nhwc,
conv2d_v1_2::is_ignored_1_H3_W2_SAME_nhwc,
- conv2d_v1_2::examples_1_H3_W2_SAME_nhwc);
+ conv2d_v1_2::get_examples_1_H3_W2_SAME_nhwc());
}
TEST_F(ValidationTest, conv2d_v1_2_1_H3_W2_SAME_nhwc) {
const Model model = conv2d_v1_2::createTestModel_1_H3_W2_SAME_nhwc();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_1_H3_W2_SAME_nhwc);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_1_H3_W2_SAME_nhwc());
validateModel(model);
validateRequests(model, requests);
}
@@ -3282,12 +3517,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_1_H3_W2_SAME_nhwc_relaxed,
conv2d_v1_2::is_ignored_1_H3_W2_SAME_nhwc_relaxed,
- conv2d_v1_2::examples_1_H3_W2_SAME_nhwc_relaxed);
+ conv2d_v1_2::get_examples_1_H3_W2_SAME_nhwc_relaxed());
}
TEST_F(ValidationTest, conv2d_v1_2_1_H3_W2_SAME_nhwc_relaxed) {
const Model model = conv2d_v1_2::createTestModel_1_H3_W2_SAME_nhwc_relaxed();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_1_H3_W2_SAME_nhwc_relaxed);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_1_H3_W2_SAME_nhwc_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -3297,12 +3532,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_1_H3_W2_SAME_nchw,
conv2d_v1_2::is_ignored_1_H3_W2_SAME_nchw,
- conv2d_v1_2::examples_1_H3_W2_SAME_nchw);
+ conv2d_v1_2::get_examples_1_H3_W2_SAME_nchw());
}
TEST_F(ValidationTest, conv2d_v1_2_1_H3_W2_SAME_nchw) {
const Model model = conv2d_v1_2::createTestModel_1_H3_W2_SAME_nchw();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_1_H3_W2_SAME_nchw);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_1_H3_W2_SAME_nchw());
validateModel(model);
validateRequests(model, requests);
}
@@ -3312,12 +3547,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_1_H3_W2_SAME_nchw_relaxed,
conv2d_v1_2::is_ignored_1_H3_W2_SAME_nchw_relaxed,
- conv2d_v1_2::examples_1_H3_W2_SAME_nchw_relaxed);
+ conv2d_v1_2::get_examples_1_H3_W2_SAME_nchw_relaxed());
}
TEST_F(ValidationTest, conv2d_v1_2_1_H3_W2_SAME_nchw_relaxed) {
const Model model = conv2d_v1_2::createTestModel_1_H3_W2_SAME_nchw_relaxed();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_1_H3_W2_SAME_nchw_relaxed);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_1_H3_W2_SAME_nchw_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -3327,12 +3562,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_1_H3_W2_VALID_nhwc,
conv2d_v1_2::is_ignored_1_H3_W2_VALID_nhwc,
- conv2d_v1_2::examples_1_H3_W2_VALID_nhwc);
+ conv2d_v1_2::get_examples_1_H3_W2_VALID_nhwc());
}
TEST_F(ValidationTest, conv2d_v1_2_1_H3_W2_VALID_nhwc) {
const Model model = conv2d_v1_2::createTestModel_1_H3_W2_VALID_nhwc();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_1_H3_W2_VALID_nhwc);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_1_H3_W2_VALID_nhwc());
validateModel(model);
validateRequests(model, requests);
}
@@ -3342,12 +3577,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_1_H3_W2_VALID_nhwc_relaxed,
conv2d_v1_2::is_ignored_1_H3_W2_VALID_nhwc_relaxed,
- conv2d_v1_2::examples_1_H3_W2_VALID_nhwc_relaxed);
+ conv2d_v1_2::get_examples_1_H3_W2_VALID_nhwc_relaxed());
}
TEST_F(ValidationTest, conv2d_v1_2_1_H3_W2_VALID_nhwc_relaxed) {
const Model model = conv2d_v1_2::createTestModel_1_H3_W2_VALID_nhwc_relaxed();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_1_H3_W2_VALID_nhwc_relaxed);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_1_H3_W2_VALID_nhwc_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -3357,12 +3592,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_1_H3_W2_VALID_nchw,
conv2d_v1_2::is_ignored_1_H3_W2_VALID_nchw,
- conv2d_v1_2::examples_1_H3_W2_VALID_nchw);
+ conv2d_v1_2::get_examples_1_H3_W2_VALID_nchw());
}
TEST_F(ValidationTest, conv2d_v1_2_1_H3_W2_VALID_nchw) {
const Model model = conv2d_v1_2::createTestModel_1_H3_W2_VALID_nchw();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_1_H3_W2_VALID_nchw);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_1_H3_W2_VALID_nchw());
validateModel(model);
validateRequests(model, requests);
}
@@ -3372,12 +3607,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_1_H3_W2_VALID_nchw_relaxed,
conv2d_v1_2::is_ignored_1_H3_W2_VALID_nchw_relaxed,
- conv2d_v1_2::examples_1_H3_W2_VALID_nchw_relaxed);
+ conv2d_v1_2::get_examples_1_H3_W2_VALID_nchw_relaxed());
}
TEST_F(ValidationTest, conv2d_v1_2_1_H3_W2_VALID_nchw_relaxed) {
const Model model = conv2d_v1_2::createTestModel_1_H3_W2_VALID_nchw_relaxed();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_1_H3_W2_VALID_nchw_relaxed);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_1_H3_W2_VALID_nchw_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -3387,12 +3622,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_3_H3_W2_SAME_nhwc,
conv2d_v1_2::is_ignored_3_H3_W2_SAME_nhwc,
- conv2d_v1_2::examples_3_H3_W2_SAME_nhwc);
+ conv2d_v1_2::get_examples_3_H3_W2_SAME_nhwc());
}
TEST_F(ValidationTest, conv2d_v1_2_3_H3_W2_SAME_nhwc) {
const Model model = conv2d_v1_2::createTestModel_3_H3_W2_SAME_nhwc();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_3_H3_W2_SAME_nhwc);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_3_H3_W2_SAME_nhwc());
validateModel(model);
validateRequests(model, requests);
}
@@ -3402,12 +3637,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_3_H3_W2_SAME_nhwc_relaxed,
conv2d_v1_2::is_ignored_3_H3_W2_SAME_nhwc_relaxed,
- conv2d_v1_2::examples_3_H3_W2_SAME_nhwc_relaxed);
+ conv2d_v1_2::get_examples_3_H3_W2_SAME_nhwc_relaxed());
}
TEST_F(ValidationTest, conv2d_v1_2_3_H3_W2_SAME_nhwc_relaxed) {
const Model model = conv2d_v1_2::createTestModel_3_H3_W2_SAME_nhwc_relaxed();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_3_H3_W2_SAME_nhwc_relaxed);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_3_H3_W2_SAME_nhwc_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -3417,12 +3652,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_3_H3_W2_SAME_nchw,
conv2d_v1_2::is_ignored_3_H3_W2_SAME_nchw,
- conv2d_v1_2::examples_3_H3_W2_SAME_nchw);
+ conv2d_v1_2::get_examples_3_H3_W2_SAME_nchw());
}
TEST_F(ValidationTest, conv2d_v1_2_3_H3_W2_SAME_nchw) {
const Model model = conv2d_v1_2::createTestModel_3_H3_W2_SAME_nchw();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_3_H3_W2_SAME_nchw);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_3_H3_W2_SAME_nchw());
validateModel(model);
validateRequests(model, requests);
}
@@ -3432,12 +3667,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_3_H3_W2_SAME_nchw_relaxed,
conv2d_v1_2::is_ignored_3_H3_W2_SAME_nchw_relaxed,
- conv2d_v1_2::examples_3_H3_W2_SAME_nchw_relaxed);
+ conv2d_v1_2::get_examples_3_H3_W2_SAME_nchw_relaxed());
}
TEST_F(ValidationTest, conv2d_v1_2_3_H3_W2_SAME_nchw_relaxed) {
const Model model = conv2d_v1_2::createTestModel_3_H3_W2_SAME_nchw_relaxed();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_3_H3_W2_SAME_nchw_relaxed);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_3_H3_W2_SAME_nchw_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -3447,12 +3682,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_3_H3_W2_VALID_nhwc,
conv2d_v1_2::is_ignored_3_H3_W2_VALID_nhwc,
- conv2d_v1_2::examples_3_H3_W2_VALID_nhwc);
+ conv2d_v1_2::get_examples_3_H3_W2_VALID_nhwc());
}
TEST_F(ValidationTest, conv2d_v1_2_3_H3_W2_VALID_nhwc) {
const Model model = conv2d_v1_2::createTestModel_3_H3_W2_VALID_nhwc();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_3_H3_W2_VALID_nhwc);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_3_H3_W2_VALID_nhwc());
validateModel(model);
validateRequests(model, requests);
}
@@ -3462,12 +3697,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_3_H3_W2_VALID_nhwc_relaxed,
conv2d_v1_2::is_ignored_3_H3_W2_VALID_nhwc_relaxed,
- conv2d_v1_2::examples_3_H3_W2_VALID_nhwc_relaxed);
+ conv2d_v1_2::get_examples_3_H3_W2_VALID_nhwc_relaxed());
}
TEST_F(ValidationTest, conv2d_v1_2_3_H3_W2_VALID_nhwc_relaxed) {
const Model model = conv2d_v1_2::createTestModel_3_H3_W2_VALID_nhwc_relaxed();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_3_H3_W2_VALID_nhwc_relaxed);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_3_H3_W2_VALID_nhwc_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -3477,12 +3712,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_3_H3_W2_VALID_nchw,
conv2d_v1_2::is_ignored_3_H3_W2_VALID_nchw,
- conv2d_v1_2::examples_3_H3_W2_VALID_nchw);
+ conv2d_v1_2::get_examples_3_H3_W2_VALID_nchw());
}
TEST_F(ValidationTest, conv2d_v1_2_3_H3_W2_VALID_nchw) {
const Model model = conv2d_v1_2::createTestModel_3_H3_W2_VALID_nchw();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_3_H3_W2_VALID_nchw);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_3_H3_W2_VALID_nchw());
validateModel(model);
validateRequests(model, requests);
}
@@ -3492,12 +3727,12 @@
generated_tests::Execute(device,
conv2d_v1_2::createTestModel_3_H3_W2_VALID_nchw_relaxed,
conv2d_v1_2::is_ignored_3_H3_W2_VALID_nchw_relaxed,
- conv2d_v1_2::examples_3_H3_W2_VALID_nchw_relaxed);
+ conv2d_v1_2::get_examples_3_H3_W2_VALID_nchw_relaxed());
}
TEST_F(ValidationTest, conv2d_v1_2_3_H3_W2_VALID_nchw_relaxed) {
const Model model = conv2d_v1_2::createTestModel_3_H3_W2_VALID_nchw_relaxed();
- const std::vector<Request> requests = createRequests(conv2d_v1_2::examples_3_H3_W2_VALID_nchw_relaxed);
+ const std::vector<Request> requests = createRequests(conv2d_v1_2::get_examples_3_H3_W2_VALID_nchw_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -3515,12 +3750,12 @@
generated_tests::Execute(device,
depth_to_space_v1_2::createTestModel_nhwc,
depth_to_space_v1_2::is_ignored_nhwc,
- depth_to_space_v1_2::examples_nhwc);
+ depth_to_space_v1_2::get_examples_nhwc());
}
TEST_F(ValidationTest, depth_to_space_v1_2_nhwc) {
const Model model = depth_to_space_v1_2::createTestModel_nhwc();
- const std::vector<Request> requests = createRequests(depth_to_space_v1_2::examples_nhwc);
+ const std::vector<Request> requests = createRequests(depth_to_space_v1_2::get_examples_nhwc());
validateModel(model);
validateRequests(model, requests);
}
@@ -3530,12 +3765,27 @@
generated_tests::Execute(device,
depth_to_space_v1_2::createTestModel_nhwc_relaxed,
depth_to_space_v1_2::is_ignored_nhwc_relaxed,
- depth_to_space_v1_2::examples_nhwc_relaxed);
+ depth_to_space_v1_2::get_examples_nhwc_relaxed());
}
TEST_F(ValidationTest, depth_to_space_v1_2_nhwc_relaxed) {
const Model model = depth_to_space_v1_2::createTestModel_nhwc_relaxed();
- const std::vector<Request> requests = createRequests(depth_to_space_v1_2::examples_nhwc_relaxed);
+ const std::vector<Request> requests = createRequests(depth_to_space_v1_2::get_examples_nhwc_relaxed());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, depth_to_space_v1_2_nhwc_float16) {
+ generated_tests::Execute(device,
+ depth_to_space_v1_2::createTestModel_nhwc_float16,
+ depth_to_space_v1_2::is_ignored_nhwc_float16,
+ depth_to_space_v1_2::get_examples_nhwc_float16());
+}
+
+TEST_F(ValidationTest, depth_to_space_v1_2_nhwc_float16) {
+ const Model model = depth_to_space_v1_2::createTestModel_nhwc_float16();
+ const std::vector<Request> requests = createRequests(depth_to_space_v1_2::get_examples_nhwc_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -3545,12 +3795,12 @@
generated_tests::Execute(device,
depth_to_space_v1_2::createTestModel_nhwc_quant8,
depth_to_space_v1_2::is_ignored_nhwc_quant8,
- depth_to_space_v1_2::examples_nhwc_quant8);
+ depth_to_space_v1_2::get_examples_nhwc_quant8());
}
TEST_F(ValidationTest, depth_to_space_v1_2_nhwc_quant8) {
const Model model = depth_to_space_v1_2::createTestModel_nhwc_quant8();
- const std::vector<Request> requests = createRequests(depth_to_space_v1_2::examples_nhwc_quant8);
+ const std::vector<Request> requests = createRequests(depth_to_space_v1_2::get_examples_nhwc_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -3560,12 +3810,12 @@
generated_tests::Execute(device,
depth_to_space_v1_2::createTestModel_nchw,
depth_to_space_v1_2::is_ignored_nchw,
- depth_to_space_v1_2::examples_nchw);
+ depth_to_space_v1_2::get_examples_nchw());
}
TEST_F(ValidationTest, depth_to_space_v1_2_nchw) {
const Model model = depth_to_space_v1_2::createTestModel_nchw();
- const std::vector<Request> requests = createRequests(depth_to_space_v1_2::examples_nchw);
+ const std::vector<Request> requests = createRequests(depth_to_space_v1_2::get_examples_nchw());
validateModel(model);
validateRequests(model, requests);
}
@@ -3575,12 +3825,27 @@
generated_tests::Execute(device,
depth_to_space_v1_2::createTestModel_nchw_relaxed,
depth_to_space_v1_2::is_ignored_nchw_relaxed,
- depth_to_space_v1_2::examples_nchw_relaxed);
+ depth_to_space_v1_2::get_examples_nchw_relaxed());
}
TEST_F(ValidationTest, depth_to_space_v1_2_nchw_relaxed) {
const Model model = depth_to_space_v1_2::createTestModel_nchw_relaxed();
- const std::vector<Request> requests = createRequests(depth_to_space_v1_2::examples_nchw_relaxed);
+ const std::vector<Request> requests = createRequests(depth_to_space_v1_2::get_examples_nchw_relaxed());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, depth_to_space_v1_2_nchw_float16) {
+ generated_tests::Execute(device,
+ depth_to_space_v1_2::createTestModel_nchw_float16,
+ depth_to_space_v1_2::is_ignored_nchw_float16,
+ depth_to_space_v1_2::get_examples_nchw_float16());
+}
+
+TEST_F(ValidationTest, depth_to_space_v1_2_nchw_float16) {
+ const Model model = depth_to_space_v1_2::createTestModel_nchw_float16();
+ const std::vector<Request> requests = createRequests(depth_to_space_v1_2::get_examples_nchw_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -3590,12 +3855,12 @@
generated_tests::Execute(device,
depth_to_space_v1_2::createTestModel_nchw_quant8,
depth_to_space_v1_2::is_ignored_nchw_quant8,
- depth_to_space_v1_2::examples_nchw_quant8);
+ depth_to_space_v1_2::get_examples_nchw_quant8());
}
TEST_F(ValidationTest, depth_to_space_v1_2_nchw_quant8) {
const Model model = depth_to_space_v1_2::createTestModel_nchw_quant8();
- const std::vector<Request> requests = createRequests(depth_to_space_v1_2::examples_nchw_quant8);
+ const std::vector<Request> requests = createRequests(depth_to_space_v1_2::get_examples_nchw_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -3605,12 +3870,12 @@
generated_tests::Execute(device,
depth_to_space_v1_2::createTestModel_nhwc_2,
depth_to_space_v1_2::is_ignored_nhwc_2,
- depth_to_space_v1_2::examples_nhwc_2);
+ depth_to_space_v1_2::get_examples_nhwc_2());
}
TEST_F(ValidationTest, depth_to_space_v1_2_nhwc_2) {
const Model model = depth_to_space_v1_2::createTestModel_nhwc_2();
- const std::vector<Request> requests = createRequests(depth_to_space_v1_2::examples_nhwc_2);
+ const std::vector<Request> requests = createRequests(depth_to_space_v1_2::get_examples_nhwc_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -3620,12 +3885,27 @@
generated_tests::Execute(device,
depth_to_space_v1_2::createTestModel_nhwc_relaxed_2,
depth_to_space_v1_2::is_ignored_nhwc_relaxed_2,
- depth_to_space_v1_2::examples_nhwc_relaxed_2);
+ depth_to_space_v1_2::get_examples_nhwc_relaxed_2());
}
TEST_F(ValidationTest, depth_to_space_v1_2_nhwc_relaxed_2) {
const Model model = depth_to_space_v1_2::createTestModel_nhwc_relaxed_2();
- const std::vector<Request> requests = createRequests(depth_to_space_v1_2::examples_nhwc_relaxed_2);
+ const std::vector<Request> requests = createRequests(depth_to_space_v1_2::get_examples_nhwc_relaxed_2());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, depth_to_space_v1_2_nhwc_float16_2) {
+ generated_tests::Execute(device,
+ depth_to_space_v1_2::createTestModel_nhwc_float16_2,
+ depth_to_space_v1_2::is_ignored_nhwc_float16_2,
+ depth_to_space_v1_2::get_examples_nhwc_float16_2());
+}
+
+TEST_F(ValidationTest, depth_to_space_v1_2_nhwc_float16_2) {
+ const Model model = depth_to_space_v1_2::createTestModel_nhwc_float16_2();
+ const std::vector<Request> requests = createRequests(depth_to_space_v1_2::get_examples_nhwc_float16_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -3635,12 +3915,12 @@
generated_tests::Execute(device,
depth_to_space_v1_2::createTestModel_nhwc_quant8_2,
depth_to_space_v1_2::is_ignored_nhwc_quant8_2,
- depth_to_space_v1_2::examples_nhwc_quant8_2);
+ depth_to_space_v1_2::get_examples_nhwc_quant8_2());
}
TEST_F(ValidationTest, depth_to_space_v1_2_nhwc_quant8_2) {
const Model model = depth_to_space_v1_2::createTestModel_nhwc_quant8_2();
- const std::vector<Request> requests = createRequests(depth_to_space_v1_2::examples_nhwc_quant8_2);
+ const std::vector<Request> requests = createRequests(depth_to_space_v1_2::get_examples_nhwc_quant8_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -3650,12 +3930,12 @@
generated_tests::Execute(device,
depth_to_space_v1_2::createTestModel_nchw_2,
depth_to_space_v1_2::is_ignored_nchw_2,
- depth_to_space_v1_2::examples_nchw_2);
+ depth_to_space_v1_2::get_examples_nchw_2());
}
TEST_F(ValidationTest, depth_to_space_v1_2_nchw_2) {
const Model model = depth_to_space_v1_2::createTestModel_nchw_2();
- const std::vector<Request> requests = createRequests(depth_to_space_v1_2::examples_nchw_2);
+ const std::vector<Request> requests = createRequests(depth_to_space_v1_2::get_examples_nchw_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -3665,12 +3945,27 @@
generated_tests::Execute(device,
depth_to_space_v1_2::createTestModel_nchw_relaxed_2,
depth_to_space_v1_2::is_ignored_nchw_relaxed_2,
- depth_to_space_v1_2::examples_nchw_relaxed_2);
+ depth_to_space_v1_2::get_examples_nchw_relaxed_2());
}
TEST_F(ValidationTest, depth_to_space_v1_2_nchw_relaxed_2) {
const Model model = depth_to_space_v1_2::createTestModel_nchw_relaxed_2();
- const std::vector<Request> requests = createRequests(depth_to_space_v1_2::examples_nchw_relaxed_2);
+ const std::vector<Request> requests = createRequests(depth_to_space_v1_2::get_examples_nchw_relaxed_2());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, depth_to_space_v1_2_nchw_float16_2) {
+ generated_tests::Execute(device,
+ depth_to_space_v1_2::createTestModel_nchw_float16_2,
+ depth_to_space_v1_2::is_ignored_nchw_float16_2,
+ depth_to_space_v1_2::get_examples_nchw_float16_2());
+}
+
+TEST_F(ValidationTest, depth_to_space_v1_2_nchw_float16_2) {
+ const Model model = depth_to_space_v1_2::createTestModel_nchw_float16_2();
+ const std::vector<Request> requests = createRequests(depth_to_space_v1_2::get_examples_nchw_float16_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -3680,12 +3975,12 @@
generated_tests::Execute(device,
depth_to_space_v1_2::createTestModel_nchw_quant8_2,
depth_to_space_v1_2::is_ignored_nchw_quant8_2,
- depth_to_space_v1_2::examples_nchw_quant8_2);
+ depth_to_space_v1_2::get_examples_nchw_quant8_2());
}
TEST_F(ValidationTest, depth_to_space_v1_2_nchw_quant8_2) {
const Model model = depth_to_space_v1_2::createTestModel_nchw_quant8_2();
- const std::vector<Request> requests = createRequests(depth_to_space_v1_2::examples_nchw_quant8_2);
+ const std::vector<Request> requests = createRequests(depth_to_space_v1_2::get_examples_nchw_quant8_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -3695,12 +3990,12 @@
generated_tests::Execute(device,
depth_to_space_v1_2::createTestModel_nhwc_3,
depth_to_space_v1_2::is_ignored_nhwc_3,
- depth_to_space_v1_2::examples_nhwc_3);
+ depth_to_space_v1_2::get_examples_nhwc_3());
}
TEST_F(ValidationTest, depth_to_space_v1_2_nhwc_3) {
const Model model = depth_to_space_v1_2::createTestModel_nhwc_3();
- const std::vector<Request> requests = createRequests(depth_to_space_v1_2::examples_nhwc_3);
+ const std::vector<Request> requests = createRequests(depth_to_space_v1_2::get_examples_nhwc_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -3710,12 +4005,27 @@
generated_tests::Execute(device,
depth_to_space_v1_2::createTestModel_nhwc_relaxed_3,
depth_to_space_v1_2::is_ignored_nhwc_relaxed_3,
- depth_to_space_v1_2::examples_nhwc_relaxed_3);
+ depth_to_space_v1_2::get_examples_nhwc_relaxed_3());
}
TEST_F(ValidationTest, depth_to_space_v1_2_nhwc_relaxed_3) {
const Model model = depth_to_space_v1_2::createTestModel_nhwc_relaxed_3();
- const std::vector<Request> requests = createRequests(depth_to_space_v1_2::examples_nhwc_relaxed_3);
+ const std::vector<Request> requests = createRequests(depth_to_space_v1_2::get_examples_nhwc_relaxed_3());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, depth_to_space_v1_2_nhwc_float16_3) {
+ generated_tests::Execute(device,
+ depth_to_space_v1_2::createTestModel_nhwc_float16_3,
+ depth_to_space_v1_2::is_ignored_nhwc_float16_3,
+ depth_to_space_v1_2::get_examples_nhwc_float16_3());
+}
+
+TEST_F(ValidationTest, depth_to_space_v1_2_nhwc_float16_3) {
+ const Model model = depth_to_space_v1_2::createTestModel_nhwc_float16_3();
+ const std::vector<Request> requests = createRequests(depth_to_space_v1_2::get_examples_nhwc_float16_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -3725,12 +4035,12 @@
generated_tests::Execute(device,
depth_to_space_v1_2::createTestModel_nhwc_quant8_3,
depth_to_space_v1_2::is_ignored_nhwc_quant8_3,
- depth_to_space_v1_2::examples_nhwc_quant8_3);
+ depth_to_space_v1_2::get_examples_nhwc_quant8_3());
}
TEST_F(ValidationTest, depth_to_space_v1_2_nhwc_quant8_3) {
const Model model = depth_to_space_v1_2::createTestModel_nhwc_quant8_3();
- const std::vector<Request> requests = createRequests(depth_to_space_v1_2::examples_nhwc_quant8_3);
+ const std::vector<Request> requests = createRequests(depth_to_space_v1_2::get_examples_nhwc_quant8_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -3740,12 +4050,12 @@
generated_tests::Execute(device,
depth_to_space_v1_2::createTestModel_nchw_3,
depth_to_space_v1_2::is_ignored_nchw_3,
- depth_to_space_v1_2::examples_nchw_3);
+ depth_to_space_v1_2::get_examples_nchw_3());
}
TEST_F(ValidationTest, depth_to_space_v1_2_nchw_3) {
const Model model = depth_to_space_v1_2::createTestModel_nchw_3();
- const std::vector<Request> requests = createRequests(depth_to_space_v1_2::examples_nchw_3);
+ const std::vector<Request> requests = createRequests(depth_to_space_v1_2::get_examples_nchw_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -3755,12 +4065,27 @@
generated_tests::Execute(device,
depth_to_space_v1_2::createTestModel_nchw_relaxed_3,
depth_to_space_v1_2::is_ignored_nchw_relaxed_3,
- depth_to_space_v1_2::examples_nchw_relaxed_3);
+ depth_to_space_v1_2::get_examples_nchw_relaxed_3());
}
TEST_F(ValidationTest, depth_to_space_v1_2_nchw_relaxed_3) {
const Model model = depth_to_space_v1_2::createTestModel_nchw_relaxed_3();
- const std::vector<Request> requests = createRequests(depth_to_space_v1_2::examples_nchw_relaxed_3);
+ const std::vector<Request> requests = createRequests(depth_to_space_v1_2::get_examples_nchw_relaxed_3());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, depth_to_space_v1_2_nchw_float16_3) {
+ generated_tests::Execute(device,
+ depth_to_space_v1_2::createTestModel_nchw_float16_3,
+ depth_to_space_v1_2::is_ignored_nchw_float16_3,
+ depth_to_space_v1_2::get_examples_nchw_float16_3());
+}
+
+TEST_F(ValidationTest, depth_to_space_v1_2_nchw_float16_3) {
+ const Model model = depth_to_space_v1_2::createTestModel_nchw_float16_3();
+ const std::vector<Request> requests = createRequests(depth_to_space_v1_2::get_examples_nchw_float16_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -3770,12 +4095,12 @@
generated_tests::Execute(device,
depth_to_space_v1_2::createTestModel_nchw_quant8_3,
depth_to_space_v1_2::is_ignored_nchw_quant8_3,
- depth_to_space_v1_2::examples_nchw_quant8_3);
+ depth_to_space_v1_2::get_examples_nchw_quant8_3());
}
TEST_F(ValidationTest, depth_to_space_v1_2_nchw_quant8_3) {
const Model model = depth_to_space_v1_2::createTestModel_nchw_quant8_3();
- const std::vector<Request> requests = createRequests(depth_to_space_v1_2::examples_nchw_quant8_3);
+ const std::vector<Request> requests = createRequests(depth_to_space_v1_2::get_examples_nchw_quant8_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -3793,12 +4118,12 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_nhwc,
depthwise_conv2d_v1_2::is_ignored_nhwc,
- depthwise_conv2d_v1_2::examples_nhwc);
+ depthwise_conv2d_v1_2::get_examples_nhwc());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_nhwc) {
const Model model = depthwise_conv2d_v1_2::createTestModel_nhwc();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_nhwc);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_nhwc());
validateModel(model);
validateRequests(model, requests);
}
@@ -3808,12 +4133,27 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_nhwc_relaxed,
depthwise_conv2d_v1_2::is_ignored_nhwc_relaxed,
- depthwise_conv2d_v1_2::examples_nhwc_relaxed);
+ depthwise_conv2d_v1_2::get_examples_nhwc_relaxed());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_nhwc_relaxed) {
const Model model = depthwise_conv2d_v1_2::createTestModel_nhwc_relaxed();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_nhwc_relaxed);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_nhwc_relaxed());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, depthwise_conv2d_v1_2_nhwc_float16) {
+ generated_tests::Execute(device,
+ depthwise_conv2d_v1_2::createTestModel_nhwc_float16,
+ depthwise_conv2d_v1_2::is_ignored_nhwc_float16,
+ depthwise_conv2d_v1_2::get_examples_nhwc_float16());
+}
+
+TEST_F(ValidationTest, depthwise_conv2d_v1_2_nhwc_float16) {
+ const Model model = depthwise_conv2d_v1_2::createTestModel_nhwc_float16();
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_nhwc_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -3823,12 +4163,12 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_nhwc_quant8,
depthwise_conv2d_v1_2::is_ignored_nhwc_quant8,
- depthwise_conv2d_v1_2::examples_nhwc_quant8);
+ depthwise_conv2d_v1_2::get_examples_nhwc_quant8());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_nhwc_quant8) {
const Model model = depthwise_conv2d_v1_2::createTestModel_nhwc_quant8();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_nhwc_quant8);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_nhwc_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -3838,12 +4178,12 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_nhwc_weight_as_input,
depthwise_conv2d_v1_2::is_ignored_nhwc_weight_as_input,
- depthwise_conv2d_v1_2::examples_nhwc_weight_as_input);
+ depthwise_conv2d_v1_2::get_examples_nhwc_weight_as_input());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_nhwc_weight_as_input) {
const Model model = depthwise_conv2d_v1_2::createTestModel_nhwc_weight_as_input();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_nhwc_weight_as_input);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_nhwc_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -3853,12 +4193,27 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_nhwc_weight_as_input_relaxed,
depthwise_conv2d_v1_2::is_ignored_nhwc_weight_as_input_relaxed,
- depthwise_conv2d_v1_2::examples_nhwc_weight_as_input_relaxed);
+ depthwise_conv2d_v1_2::get_examples_nhwc_weight_as_input_relaxed());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_nhwc_weight_as_input_relaxed) {
const Model model = depthwise_conv2d_v1_2::createTestModel_nhwc_weight_as_input_relaxed();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_nhwc_weight_as_input_relaxed);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_nhwc_weight_as_input_relaxed());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, depthwise_conv2d_v1_2_nhwc_weight_as_input_float16) {
+ generated_tests::Execute(device,
+ depthwise_conv2d_v1_2::createTestModel_nhwc_weight_as_input_float16,
+ depthwise_conv2d_v1_2::is_ignored_nhwc_weight_as_input_float16,
+ depthwise_conv2d_v1_2::get_examples_nhwc_weight_as_input_float16());
+}
+
+TEST_F(ValidationTest, depthwise_conv2d_v1_2_nhwc_weight_as_input_float16) {
+ const Model model = depthwise_conv2d_v1_2::createTestModel_nhwc_weight_as_input_float16();
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_nhwc_weight_as_input_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -3868,12 +4223,12 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_nhwc_weight_as_input_quant8,
depthwise_conv2d_v1_2::is_ignored_nhwc_weight_as_input_quant8,
- depthwise_conv2d_v1_2::examples_nhwc_weight_as_input_quant8);
+ depthwise_conv2d_v1_2::get_examples_nhwc_weight_as_input_quant8());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_nhwc_weight_as_input_quant8) {
const Model model = depthwise_conv2d_v1_2::createTestModel_nhwc_weight_as_input_quant8();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_nhwc_weight_as_input_quant8);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_nhwc_weight_as_input_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -3883,12 +4238,12 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_nchw,
depthwise_conv2d_v1_2::is_ignored_nchw,
- depthwise_conv2d_v1_2::examples_nchw);
+ depthwise_conv2d_v1_2::get_examples_nchw());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_nchw) {
const Model model = depthwise_conv2d_v1_2::createTestModel_nchw();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_nchw);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_nchw());
validateModel(model);
validateRequests(model, requests);
}
@@ -3898,12 +4253,27 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_nchw_relaxed,
depthwise_conv2d_v1_2::is_ignored_nchw_relaxed,
- depthwise_conv2d_v1_2::examples_nchw_relaxed);
+ depthwise_conv2d_v1_2::get_examples_nchw_relaxed());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_nchw_relaxed) {
const Model model = depthwise_conv2d_v1_2::createTestModel_nchw_relaxed();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_nchw_relaxed);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_nchw_relaxed());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, depthwise_conv2d_v1_2_nchw_float16) {
+ generated_tests::Execute(device,
+ depthwise_conv2d_v1_2::createTestModel_nchw_float16,
+ depthwise_conv2d_v1_2::is_ignored_nchw_float16,
+ depthwise_conv2d_v1_2::get_examples_nchw_float16());
+}
+
+TEST_F(ValidationTest, depthwise_conv2d_v1_2_nchw_float16) {
+ const Model model = depthwise_conv2d_v1_2::createTestModel_nchw_float16();
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_nchw_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -3913,12 +4283,12 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_nchw_quant8,
depthwise_conv2d_v1_2::is_ignored_nchw_quant8,
- depthwise_conv2d_v1_2::examples_nchw_quant8);
+ depthwise_conv2d_v1_2::get_examples_nchw_quant8());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_nchw_quant8) {
const Model model = depthwise_conv2d_v1_2::createTestModel_nchw_quant8();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_nchw_quant8);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_nchw_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -3928,12 +4298,12 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_nchw_weight_as_input,
depthwise_conv2d_v1_2::is_ignored_nchw_weight_as_input,
- depthwise_conv2d_v1_2::examples_nchw_weight_as_input);
+ depthwise_conv2d_v1_2::get_examples_nchw_weight_as_input());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_nchw_weight_as_input) {
const Model model = depthwise_conv2d_v1_2::createTestModel_nchw_weight_as_input();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_nchw_weight_as_input);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_nchw_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -3943,12 +4313,27 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_nchw_weight_as_input_relaxed,
depthwise_conv2d_v1_2::is_ignored_nchw_weight_as_input_relaxed,
- depthwise_conv2d_v1_2::examples_nchw_weight_as_input_relaxed);
+ depthwise_conv2d_v1_2::get_examples_nchw_weight_as_input_relaxed());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_nchw_weight_as_input_relaxed) {
const Model model = depthwise_conv2d_v1_2::createTestModel_nchw_weight_as_input_relaxed();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_nchw_weight_as_input_relaxed);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_nchw_weight_as_input_relaxed());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, depthwise_conv2d_v1_2_nchw_weight_as_input_float16) {
+ generated_tests::Execute(device,
+ depthwise_conv2d_v1_2::createTestModel_nchw_weight_as_input_float16,
+ depthwise_conv2d_v1_2::is_ignored_nchw_weight_as_input_float16,
+ depthwise_conv2d_v1_2::get_examples_nchw_weight_as_input_float16());
+}
+
+TEST_F(ValidationTest, depthwise_conv2d_v1_2_nchw_weight_as_input_float16) {
+ const Model model = depthwise_conv2d_v1_2::createTestModel_nchw_weight_as_input_float16();
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_nchw_weight_as_input_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -3958,12 +4343,12 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_nchw_weight_as_input_quant8,
depthwise_conv2d_v1_2::is_ignored_nchw_weight_as_input_quant8,
- depthwise_conv2d_v1_2::examples_nchw_weight_as_input_quant8);
+ depthwise_conv2d_v1_2::get_examples_nchw_weight_as_input_quant8());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_nchw_weight_as_input_quant8) {
const Model model = depthwise_conv2d_v1_2::createTestModel_nchw_weight_as_input_quant8();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_nchw_weight_as_input_quant8);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_nchw_weight_as_input_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -3973,12 +4358,12 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_nhwc_2,
depthwise_conv2d_v1_2::is_ignored_nhwc_2,
- depthwise_conv2d_v1_2::examples_nhwc_2);
+ depthwise_conv2d_v1_2::get_examples_nhwc_2());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_nhwc_2) {
const Model model = depthwise_conv2d_v1_2::createTestModel_nhwc_2();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_nhwc_2);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_nhwc_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -3988,12 +4373,27 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_nhwc_relaxed_2,
depthwise_conv2d_v1_2::is_ignored_nhwc_relaxed_2,
- depthwise_conv2d_v1_2::examples_nhwc_relaxed_2);
+ depthwise_conv2d_v1_2::get_examples_nhwc_relaxed_2());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_nhwc_relaxed_2) {
const Model model = depthwise_conv2d_v1_2::createTestModel_nhwc_relaxed_2();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_nhwc_relaxed_2);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_nhwc_relaxed_2());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, depthwise_conv2d_v1_2_nhwc_float16_2) {
+ generated_tests::Execute(device,
+ depthwise_conv2d_v1_2::createTestModel_nhwc_float16_2,
+ depthwise_conv2d_v1_2::is_ignored_nhwc_float16_2,
+ depthwise_conv2d_v1_2::get_examples_nhwc_float16_2());
+}
+
+TEST_F(ValidationTest, depthwise_conv2d_v1_2_nhwc_float16_2) {
+ const Model model = depthwise_conv2d_v1_2::createTestModel_nhwc_float16_2();
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_nhwc_float16_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -4003,12 +4403,12 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_nhwc_quant8_2,
depthwise_conv2d_v1_2::is_ignored_nhwc_quant8_2,
- depthwise_conv2d_v1_2::examples_nhwc_quant8_2);
+ depthwise_conv2d_v1_2::get_examples_nhwc_quant8_2());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_nhwc_quant8_2) {
const Model model = depthwise_conv2d_v1_2::createTestModel_nhwc_quant8_2();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_nhwc_quant8_2);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_nhwc_quant8_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -4018,12 +4418,12 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_nhwc_weight_as_input_2,
depthwise_conv2d_v1_2::is_ignored_nhwc_weight_as_input_2,
- depthwise_conv2d_v1_2::examples_nhwc_weight_as_input_2);
+ depthwise_conv2d_v1_2::get_examples_nhwc_weight_as_input_2());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_nhwc_weight_as_input_2) {
const Model model = depthwise_conv2d_v1_2::createTestModel_nhwc_weight_as_input_2();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_nhwc_weight_as_input_2);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_nhwc_weight_as_input_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -4033,12 +4433,27 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_nhwc_weight_as_input_relaxed_2,
depthwise_conv2d_v1_2::is_ignored_nhwc_weight_as_input_relaxed_2,
- depthwise_conv2d_v1_2::examples_nhwc_weight_as_input_relaxed_2);
+ depthwise_conv2d_v1_2::get_examples_nhwc_weight_as_input_relaxed_2());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_nhwc_weight_as_input_relaxed_2) {
const Model model = depthwise_conv2d_v1_2::createTestModel_nhwc_weight_as_input_relaxed_2();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_nhwc_weight_as_input_relaxed_2);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_nhwc_weight_as_input_relaxed_2());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, depthwise_conv2d_v1_2_nhwc_weight_as_input_float16_2) {
+ generated_tests::Execute(device,
+ depthwise_conv2d_v1_2::createTestModel_nhwc_weight_as_input_float16_2,
+ depthwise_conv2d_v1_2::is_ignored_nhwc_weight_as_input_float16_2,
+ depthwise_conv2d_v1_2::get_examples_nhwc_weight_as_input_float16_2());
+}
+
+TEST_F(ValidationTest, depthwise_conv2d_v1_2_nhwc_weight_as_input_float16_2) {
+ const Model model = depthwise_conv2d_v1_2::createTestModel_nhwc_weight_as_input_float16_2();
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_nhwc_weight_as_input_float16_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -4048,12 +4463,12 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_nhwc_weight_as_input_quant8_2,
depthwise_conv2d_v1_2::is_ignored_nhwc_weight_as_input_quant8_2,
- depthwise_conv2d_v1_2::examples_nhwc_weight_as_input_quant8_2);
+ depthwise_conv2d_v1_2::get_examples_nhwc_weight_as_input_quant8_2());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_nhwc_weight_as_input_quant8_2) {
const Model model = depthwise_conv2d_v1_2::createTestModel_nhwc_weight_as_input_quant8_2();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_nhwc_weight_as_input_quant8_2);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_nhwc_weight_as_input_quant8_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -4063,12 +4478,12 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_nchw_2,
depthwise_conv2d_v1_2::is_ignored_nchw_2,
- depthwise_conv2d_v1_2::examples_nchw_2);
+ depthwise_conv2d_v1_2::get_examples_nchw_2());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_nchw_2) {
const Model model = depthwise_conv2d_v1_2::createTestModel_nchw_2();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_nchw_2);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_nchw_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -4078,12 +4493,27 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_nchw_relaxed_2,
depthwise_conv2d_v1_2::is_ignored_nchw_relaxed_2,
- depthwise_conv2d_v1_2::examples_nchw_relaxed_2);
+ depthwise_conv2d_v1_2::get_examples_nchw_relaxed_2());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_nchw_relaxed_2) {
const Model model = depthwise_conv2d_v1_2::createTestModel_nchw_relaxed_2();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_nchw_relaxed_2);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_nchw_relaxed_2());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, depthwise_conv2d_v1_2_nchw_float16_2) {
+ generated_tests::Execute(device,
+ depthwise_conv2d_v1_2::createTestModel_nchw_float16_2,
+ depthwise_conv2d_v1_2::is_ignored_nchw_float16_2,
+ depthwise_conv2d_v1_2::get_examples_nchw_float16_2());
+}
+
+TEST_F(ValidationTest, depthwise_conv2d_v1_2_nchw_float16_2) {
+ const Model model = depthwise_conv2d_v1_2::createTestModel_nchw_float16_2();
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_nchw_float16_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -4093,12 +4523,12 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_nchw_quant8_2,
depthwise_conv2d_v1_2::is_ignored_nchw_quant8_2,
- depthwise_conv2d_v1_2::examples_nchw_quant8_2);
+ depthwise_conv2d_v1_2::get_examples_nchw_quant8_2());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_nchw_quant8_2) {
const Model model = depthwise_conv2d_v1_2::createTestModel_nchw_quant8_2();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_nchw_quant8_2);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_nchw_quant8_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -4108,12 +4538,12 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_nchw_weight_as_input_2,
depthwise_conv2d_v1_2::is_ignored_nchw_weight_as_input_2,
- depthwise_conv2d_v1_2::examples_nchw_weight_as_input_2);
+ depthwise_conv2d_v1_2::get_examples_nchw_weight_as_input_2());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_nchw_weight_as_input_2) {
const Model model = depthwise_conv2d_v1_2::createTestModel_nchw_weight_as_input_2();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_nchw_weight_as_input_2);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_nchw_weight_as_input_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -4123,12 +4553,27 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_nchw_weight_as_input_relaxed_2,
depthwise_conv2d_v1_2::is_ignored_nchw_weight_as_input_relaxed_2,
- depthwise_conv2d_v1_2::examples_nchw_weight_as_input_relaxed_2);
+ depthwise_conv2d_v1_2::get_examples_nchw_weight_as_input_relaxed_2());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_nchw_weight_as_input_relaxed_2) {
const Model model = depthwise_conv2d_v1_2::createTestModel_nchw_weight_as_input_relaxed_2();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_nchw_weight_as_input_relaxed_2);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_nchw_weight_as_input_relaxed_2());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, depthwise_conv2d_v1_2_nchw_weight_as_input_float16_2) {
+ generated_tests::Execute(device,
+ depthwise_conv2d_v1_2::createTestModel_nchw_weight_as_input_float16_2,
+ depthwise_conv2d_v1_2::is_ignored_nchw_weight_as_input_float16_2,
+ depthwise_conv2d_v1_2::get_examples_nchw_weight_as_input_float16_2());
+}
+
+TEST_F(ValidationTest, depthwise_conv2d_v1_2_nchw_weight_as_input_float16_2) {
+ const Model model = depthwise_conv2d_v1_2::createTestModel_nchw_weight_as_input_float16_2();
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_nchw_weight_as_input_float16_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -4138,12 +4583,12 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_nchw_weight_as_input_quant8_2,
depthwise_conv2d_v1_2::is_ignored_nchw_weight_as_input_quant8_2,
- depthwise_conv2d_v1_2::examples_nchw_weight_as_input_quant8_2);
+ depthwise_conv2d_v1_2::get_examples_nchw_weight_as_input_quant8_2());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_nchw_weight_as_input_quant8_2) {
const Model model = depthwise_conv2d_v1_2::createTestModel_nchw_weight_as_input_quant8_2();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_nchw_weight_as_input_quant8_2);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_nchw_weight_as_input_quant8_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -4153,12 +4598,12 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_large_nhwc,
depthwise_conv2d_v1_2::is_ignored_large_nhwc,
- depthwise_conv2d_v1_2::examples_large_nhwc);
+ depthwise_conv2d_v1_2::get_examples_large_nhwc());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_large_nhwc) {
const Model model = depthwise_conv2d_v1_2::createTestModel_large_nhwc();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_large_nhwc);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_large_nhwc());
validateModel(model);
validateRequests(model, requests);
}
@@ -4168,12 +4613,27 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_large_nhwc_relaxed,
depthwise_conv2d_v1_2::is_ignored_large_nhwc_relaxed,
- depthwise_conv2d_v1_2::examples_large_nhwc_relaxed);
+ depthwise_conv2d_v1_2::get_examples_large_nhwc_relaxed());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_large_nhwc_relaxed) {
const Model model = depthwise_conv2d_v1_2::createTestModel_large_nhwc_relaxed();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_large_nhwc_relaxed);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_large_nhwc_relaxed());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, depthwise_conv2d_v1_2_large_nhwc_float16) {
+ generated_tests::Execute(device,
+ depthwise_conv2d_v1_2::createTestModel_large_nhwc_float16,
+ depthwise_conv2d_v1_2::is_ignored_large_nhwc_float16,
+ depthwise_conv2d_v1_2::get_examples_large_nhwc_float16());
+}
+
+TEST_F(ValidationTest, depthwise_conv2d_v1_2_large_nhwc_float16) {
+ const Model model = depthwise_conv2d_v1_2::createTestModel_large_nhwc_float16();
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_large_nhwc_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -4183,12 +4643,12 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_large_nhwc_quant8,
depthwise_conv2d_v1_2::is_ignored_large_nhwc_quant8,
- depthwise_conv2d_v1_2::examples_large_nhwc_quant8);
+ depthwise_conv2d_v1_2::get_examples_large_nhwc_quant8());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_large_nhwc_quant8) {
const Model model = depthwise_conv2d_v1_2::createTestModel_large_nhwc_quant8();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_large_nhwc_quant8);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_large_nhwc_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -4198,12 +4658,12 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_large_nhwc_weight_as_input,
depthwise_conv2d_v1_2::is_ignored_large_nhwc_weight_as_input,
- depthwise_conv2d_v1_2::examples_large_nhwc_weight_as_input);
+ depthwise_conv2d_v1_2::get_examples_large_nhwc_weight_as_input());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_large_nhwc_weight_as_input) {
const Model model = depthwise_conv2d_v1_2::createTestModel_large_nhwc_weight_as_input();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_large_nhwc_weight_as_input);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_large_nhwc_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -4213,12 +4673,27 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_large_nhwc_weight_as_input_relaxed,
depthwise_conv2d_v1_2::is_ignored_large_nhwc_weight_as_input_relaxed,
- depthwise_conv2d_v1_2::examples_large_nhwc_weight_as_input_relaxed);
+ depthwise_conv2d_v1_2::get_examples_large_nhwc_weight_as_input_relaxed());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_large_nhwc_weight_as_input_relaxed) {
const Model model = depthwise_conv2d_v1_2::createTestModel_large_nhwc_weight_as_input_relaxed();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_large_nhwc_weight_as_input_relaxed);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_large_nhwc_weight_as_input_relaxed());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, depthwise_conv2d_v1_2_large_nhwc_weight_as_input_float16) {
+ generated_tests::Execute(device,
+ depthwise_conv2d_v1_2::createTestModel_large_nhwc_weight_as_input_float16,
+ depthwise_conv2d_v1_2::is_ignored_large_nhwc_weight_as_input_float16,
+ depthwise_conv2d_v1_2::get_examples_large_nhwc_weight_as_input_float16());
+}
+
+TEST_F(ValidationTest, depthwise_conv2d_v1_2_large_nhwc_weight_as_input_float16) {
+ const Model model = depthwise_conv2d_v1_2::createTestModel_large_nhwc_weight_as_input_float16();
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_large_nhwc_weight_as_input_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -4228,12 +4703,12 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_large_nhwc_weight_as_input_quant8,
depthwise_conv2d_v1_2::is_ignored_large_nhwc_weight_as_input_quant8,
- depthwise_conv2d_v1_2::examples_large_nhwc_weight_as_input_quant8);
+ depthwise_conv2d_v1_2::get_examples_large_nhwc_weight_as_input_quant8());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_large_nhwc_weight_as_input_quant8) {
const Model model = depthwise_conv2d_v1_2::createTestModel_large_nhwc_weight_as_input_quant8();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_large_nhwc_weight_as_input_quant8);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_large_nhwc_weight_as_input_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -4243,12 +4718,12 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_large_nchw,
depthwise_conv2d_v1_2::is_ignored_large_nchw,
- depthwise_conv2d_v1_2::examples_large_nchw);
+ depthwise_conv2d_v1_2::get_examples_large_nchw());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_large_nchw) {
const Model model = depthwise_conv2d_v1_2::createTestModel_large_nchw();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_large_nchw);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_large_nchw());
validateModel(model);
validateRequests(model, requests);
}
@@ -4258,12 +4733,27 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_large_nchw_relaxed,
depthwise_conv2d_v1_2::is_ignored_large_nchw_relaxed,
- depthwise_conv2d_v1_2::examples_large_nchw_relaxed);
+ depthwise_conv2d_v1_2::get_examples_large_nchw_relaxed());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_large_nchw_relaxed) {
const Model model = depthwise_conv2d_v1_2::createTestModel_large_nchw_relaxed();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_large_nchw_relaxed);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_large_nchw_relaxed());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, depthwise_conv2d_v1_2_large_nchw_float16) {
+ generated_tests::Execute(device,
+ depthwise_conv2d_v1_2::createTestModel_large_nchw_float16,
+ depthwise_conv2d_v1_2::is_ignored_large_nchw_float16,
+ depthwise_conv2d_v1_2::get_examples_large_nchw_float16());
+}
+
+TEST_F(ValidationTest, depthwise_conv2d_v1_2_large_nchw_float16) {
+ const Model model = depthwise_conv2d_v1_2::createTestModel_large_nchw_float16();
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_large_nchw_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -4273,12 +4763,12 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_large_nchw_quant8,
depthwise_conv2d_v1_2::is_ignored_large_nchw_quant8,
- depthwise_conv2d_v1_2::examples_large_nchw_quant8);
+ depthwise_conv2d_v1_2::get_examples_large_nchw_quant8());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_large_nchw_quant8) {
const Model model = depthwise_conv2d_v1_2::createTestModel_large_nchw_quant8();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_large_nchw_quant8);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_large_nchw_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -4288,12 +4778,12 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_large_nchw_weight_as_input,
depthwise_conv2d_v1_2::is_ignored_large_nchw_weight_as_input,
- depthwise_conv2d_v1_2::examples_large_nchw_weight_as_input);
+ depthwise_conv2d_v1_2::get_examples_large_nchw_weight_as_input());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_large_nchw_weight_as_input) {
const Model model = depthwise_conv2d_v1_2::createTestModel_large_nchw_weight_as_input();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_large_nchw_weight_as_input);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_large_nchw_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -4303,12 +4793,27 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_large_nchw_weight_as_input_relaxed,
depthwise_conv2d_v1_2::is_ignored_large_nchw_weight_as_input_relaxed,
- depthwise_conv2d_v1_2::examples_large_nchw_weight_as_input_relaxed);
+ depthwise_conv2d_v1_2::get_examples_large_nchw_weight_as_input_relaxed());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_large_nchw_weight_as_input_relaxed) {
const Model model = depthwise_conv2d_v1_2::createTestModel_large_nchw_weight_as_input_relaxed();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_large_nchw_weight_as_input_relaxed);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_large_nchw_weight_as_input_relaxed());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, depthwise_conv2d_v1_2_large_nchw_weight_as_input_float16) {
+ generated_tests::Execute(device,
+ depthwise_conv2d_v1_2::createTestModel_large_nchw_weight_as_input_float16,
+ depthwise_conv2d_v1_2::is_ignored_large_nchw_weight_as_input_float16,
+ depthwise_conv2d_v1_2::get_examples_large_nchw_weight_as_input_float16());
+}
+
+TEST_F(ValidationTest, depthwise_conv2d_v1_2_large_nchw_weight_as_input_float16) {
+ const Model model = depthwise_conv2d_v1_2::createTestModel_large_nchw_weight_as_input_float16();
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_large_nchw_weight_as_input_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -4318,12 +4823,12 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_large_nchw_weight_as_input_quant8,
depthwise_conv2d_v1_2::is_ignored_large_nchw_weight_as_input_quant8,
- depthwise_conv2d_v1_2::examples_large_nchw_weight_as_input_quant8);
+ depthwise_conv2d_v1_2::get_examples_large_nchw_weight_as_input_quant8());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_large_nchw_weight_as_input_quant8) {
const Model model = depthwise_conv2d_v1_2::createTestModel_large_nchw_weight_as_input_quant8();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_large_nchw_weight_as_input_quant8);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_large_nchw_weight_as_input_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -4333,12 +4838,12 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_large_nhwc_2,
depthwise_conv2d_v1_2::is_ignored_large_nhwc_2,
- depthwise_conv2d_v1_2::examples_large_nhwc_2);
+ depthwise_conv2d_v1_2::get_examples_large_nhwc_2());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_large_nhwc_2) {
const Model model = depthwise_conv2d_v1_2::createTestModel_large_nhwc_2();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_large_nhwc_2);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_large_nhwc_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -4348,12 +4853,27 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_large_nhwc_relaxed_2,
depthwise_conv2d_v1_2::is_ignored_large_nhwc_relaxed_2,
- depthwise_conv2d_v1_2::examples_large_nhwc_relaxed_2);
+ depthwise_conv2d_v1_2::get_examples_large_nhwc_relaxed_2());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_large_nhwc_relaxed_2) {
const Model model = depthwise_conv2d_v1_2::createTestModel_large_nhwc_relaxed_2();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_large_nhwc_relaxed_2);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_large_nhwc_relaxed_2());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, depthwise_conv2d_v1_2_large_nhwc_float16_2) {
+ generated_tests::Execute(device,
+ depthwise_conv2d_v1_2::createTestModel_large_nhwc_float16_2,
+ depthwise_conv2d_v1_2::is_ignored_large_nhwc_float16_2,
+ depthwise_conv2d_v1_2::get_examples_large_nhwc_float16_2());
+}
+
+TEST_F(ValidationTest, depthwise_conv2d_v1_2_large_nhwc_float16_2) {
+ const Model model = depthwise_conv2d_v1_2::createTestModel_large_nhwc_float16_2();
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_large_nhwc_float16_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -4363,12 +4883,12 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_large_nhwc_quant8_2,
depthwise_conv2d_v1_2::is_ignored_large_nhwc_quant8_2,
- depthwise_conv2d_v1_2::examples_large_nhwc_quant8_2);
+ depthwise_conv2d_v1_2::get_examples_large_nhwc_quant8_2());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_large_nhwc_quant8_2) {
const Model model = depthwise_conv2d_v1_2::createTestModel_large_nhwc_quant8_2();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_large_nhwc_quant8_2);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_large_nhwc_quant8_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -4378,12 +4898,12 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_large_nhwc_weight_as_input_2,
depthwise_conv2d_v1_2::is_ignored_large_nhwc_weight_as_input_2,
- depthwise_conv2d_v1_2::examples_large_nhwc_weight_as_input_2);
+ depthwise_conv2d_v1_2::get_examples_large_nhwc_weight_as_input_2());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_large_nhwc_weight_as_input_2) {
const Model model = depthwise_conv2d_v1_2::createTestModel_large_nhwc_weight_as_input_2();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_large_nhwc_weight_as_input_2);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_large_nhwc_weight_as_input_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -4393,12 +4913,27 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_large_nhwc_weight_as_input_relaxed_2,
depthwise_conv2d_v1_2::is_ignored_large_nhwc_weight_as_input_relaxed_2,
- depthwise_conv2d_v1_2::examples_large_nhwc_weight_as_input_relaxed_2);
+ depthwise_conv2d_v1_2::get_examples_large_nhwc_weight_as_input_relaxed_2());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_large_nhwc_weight_as_input_relaxed_2) {
const Model model = depthwise_conv2d_v1_2::createTestModel_large_nhwc_weight_as_input_relaxed_2();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_large_nhwc_weight_as_input_relaxed_2);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_large_nhwc_weight_as_input_relaxed_2());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, depthwise_conv2d_v1_2_large_nhwc_weight_as_input_float16_2) {
+ generated_tests::Execute(device,
+ depthwise_conv2d_v1_2::createTestModel_large_nhwc_weight_as_input_float16_2,
+ depthwise_conv2d_v1_2::is_ignored_large_nhwc_weight_as_input_float16_2,
+ depthwise_conv2d_v1_2::get_examples_large_nhwc_weight_as_input_float16_2());
+}
+
+TEST_F(ValidationTest, depthwise_conv2d_v1_2_large_nhwc_weight_as_input_float16_2) {
+ const Model model = depthwise_conv2d_v1_2::createTestModel_large_nhwc_weight_as_input_float16_2();
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_large_nhwc_weight_as_input_float16_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -4408,12 +4943,12 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_large_nhwc_weight_as_input_quant8_2,
depthwise_conv2d_v1_2::is_ignored_large_nhwc_weight_as_input_quant8_2,
- depthwise_conv2d_v1_2::examples_large_nhwc_weight_as_input_quant8_2);
+ depthwise_conv2d_v1_2::get_examples_large_nhwc_weight_as_input_quant8_2());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_large_nhwc_weight_as_input_quant8_2) {
const Model model = depthwise_conv2d_v1_2::createTestModel_large_nhwc_weight_as_input_quant8_2();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_large_nhwc_weight_as_input_quant8_2);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_large_nhwc_weight_as_input_quant8_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -4423,12 +4958,12 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_large_nchw_2,
depthwise_conv2d_v1_2::is_ignored_large_nchw_2,
- depthwise_conv2d_v1_2::examples_large_nchw_2);
+ depthwise_conv2d_v1_2::get_examples_large_nchw_2());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_large_nchw_2) {
const Model model = depthwise_conv2d_v1_2::createTestModel_large_nchw_2();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_large_nchw_2);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_large_nchw_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -4438,12 +4973,27 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_large_nchw_relaxed_2,
depthwise_conv2d_v1_2::is_ignored_large_nchw_relaxed_2,
- depthwise_conv2d_v1_2::examples_large_nchw_relaxed_2);
+ depthwise_conv2d_v1_2::get_examples_large_nchw_relaxed_2());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_large_nchw_relaxed_2) {
const Model model = depthwise_conv2d_v1_2::createTestModel_large_nchw_relaxed_2();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_large_nchw_relaxed_2);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_large_nchw_relaxed_2());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, depthwise_conv2d_v1_2_large_nchw_float16_2) {
+ generated_tests::Execute(device,
+ depthwise_conv2d_v1_2::createTestModel_large_nchw_float16_2,
+ depthwise_conv2d_v1_2::is_ignored_large_nchw_float16_2,
+ depthwise_conv2d_v1_2::get_examples_large_nchw_float16_2());
+}
+
+TEST_F(ValidationTest, depthwise_conv2d_v1_2_large_nchw_float16_2) {
+ const Model model = depthwise_conv2d_v1_2::createTestModel_large_nchw_float16_2();
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_large_nchw_float16_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -4453,12 +5003,12 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_large_nchw_quant8_2,
depthwise_conv2d_v1_2::is_ignored_large_nchw_quant8_2,
- depthwise_conv2d_v1_2::examples_large_nchw_quant8_2);
+ depthwise_conv2d_v1_2::get_examples_large_nchw_quant8_2());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_large_nchw_quant8_2) {
const Model model = depthwise_conv2d_v1_2::createTestModel_large_nchw_quant8_2();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_large_nchw_quant8_2);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_large_nchw_quant8_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -4468,12 +5018,12 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_large_nchw_weight_as_input_2,
depthwise_conv2d_v1_2::is_ignored_large_nchw_weight_as_input_2,
- depthwise_conv2d_v1_2::examples_large_nchw_weight_as_input_2);
+ depthwise_conv2d_v1_2::get_examples_large_nchw_weight_as_input_2());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_large_nchw_weight_as_input_2) {
const Model model = depthwise_conv2d_v1_2::createTestModel_large_nchw_weight_as_input_2();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_large_nchw_weight_as_input_2);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_large_nchw_weight_as_input_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -4483,12 +5033,27 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_large_nchw_weight_as_input_relaxed_2,
depthwise_conv2d_v1_2::is_ignored_large_nchw_weight_as_input_relaxed_2,
- depthwise_conv2d_v1_2::examples_large_nchw_weight_as_input_relaxed_2);
+ depthwise_conv2d_v1_2::get_examples_large_nchw_weight_as_input_relaxed_2());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_large_nchw_weight_as_input_relaxed_2) {
const Model model = depthwise_conv2d_v1_2::createTestModel_large_nchw_weight_as_input_relaxed_2();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_large_nchw_weight_as_input_relaxed_2);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_large_nchw_weight_as_input_relaxed_2());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, depthwise_conv2d_v1_2_large_nchw_weight_as_input_float16_2) {
+ generated_tests::Execute(device,
+ depthwise_conv2d_v1_2::createTestModel_large_nchw_weight_as_input_float16_2,
+ depthwise_conv2d_v1_2::is_ignored_large_nchw_weight_as_input_float16_2,
+ depthwise_conv2d_v1_2::get_examples_large_nchw_weight_as_input_float16_2());
+}
+
+TEST_F(ValidationTest, depthwise_conv2d_v1_2_large_nchw_weight_as_input_float16_2) {
+ const Model model = depthwise_conv2d_v1_2::createTestModel_large_nchw_weight_as_input_float16_2();
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_large_nchw_weight_as_input_float16_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -4498,12 +5063,12 @@
generated_tests::Execute(device,
depthwise_conv2d_v1_2::createTestModel_large_nchw_weight_as_input_quant8_2,
depthwise_conv2d_v1_2::is_ignored_large_nchw_weight_as_input_quant8_2,
- depthwise_conv2d_v1_2::examples_large_nchw_weight_as_input_quant8_2);
+ depthwise_conv2d_v1_2::get_examples_large_nchw_weight_as_input_quant8_2());
}
TEST_F(ValidationTest, depthwise_conv2d_v1_2_large_nchw_weight_as_input_quant8_2) {
const Model model = depthwise_conv2d_v1_2::createTestModel_large_nchw_weight_as_input_quant8_2();
- const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::examples_large_nchw_weight_as_input_quant8_2);
+ const std::vector<Request> requests = createRequests(depthwise_conv2d_v1_2::get_examples_large_nchw_weight_as_input_quant8_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -4521,12 +5086,12 @@
generated_tests::Execute(device,
div_broadcast_float16::createTestModel,
div_broadcast_float16::is_ignored,
- div_broadcast_float16::examples);
+ div_broadcast_float16::get_examples());
}
TEST_F(ValidationTest, div_broadcast_float16) {
const Model model = div_broadcast_float16::createTestModel();
- const std::vector<Request> requests = createRequests(div_broadcast_float16::examples);
+ const std::vector<Request> requests = createRequests(div_broadcast_float16::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -4544,12 +5109,12 @@
generated_tests::Execute(device,
div_float16::createTestModel,
div_float16::is_ignored,
- div_float16::examples);
+ div_float16::get_examples());
}
TEST_F(ValidationTest, div_float16) {
const Model model = div_float16::createTestModel();
- const std::vector<Request> requests = createRequests(div_float16::examples);
+ const std::vector<Request> requests = createRequests(div_float16::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -4567,12 +5132,12 @@
generated_tests::Execute(device,
expand_dims::createTestModel,
expand_dims::is_ignored,
- expand_dims::examples);
+ expand_dims::get_examples());
}
TEST_F(ValidationTest, expand_dims) {
const Model model = expand_dims::createTestModel();
- const std::vector<Request> requests = createRequests(expand_dims::examples);
+ const std::vector<Request> requests = createRequests(expand_dims::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -4582,12 +5147,12 @@
generated_tests::Execute(device,
expand_dims::createTestModel_relaxed,
expand_dims::is_ignored_relaxed,
- expand_dims::examples_relaxed);
+ expand_dims::get_examples_relaxed());
}
TEST_F(ValidationTest, expand_dims_relaxed) {
const Model model = expand_dims::createTestModel_relaxed();
- const std::vector<Request> requests = createRequests(expand_dims::examples_relaxed);
+ const std::vector<Request> requests = createRequests(expand_dims::get_examples_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -4597,12 +5162,12 @@
generated_tests::Execute(device,
expand_dims::createTestModel_quant8,
expand_dims::is_ignored_quant8,
- expand_dims::examples_quant8);
+ expand_dims::get_examples_quant8());
}
TEST_F(ValidationTest, expand_dims_quant8) {
const Model model = expand_dims::createTestModel_quant8();
- const std::vector<Request> requests = createRequests(expand_dims::examples_quant8);
+ const std::vector<Request> requests = createRequests(expand_dims::get_examples_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -4612,12 +5177,12 @@
generated_tests::Execute(device,
expand_dims::createTestModel_int32,
expand_dims::is_ignored_int32,
- expand_dims::examples_int32);
+ expand_dims::get_examples_int32());
}
TEST_F(ValidationTest, expand_dims_int32) {
const Model model = expand_dims::createTestModel_int32();
- const std::vector<Request> requests = createRequests(expand_dims::examples_int32);
+ const std::vector<Request> requests = createRequests(expand_dims::get_examples_int32());
validateModel(model);
validateRequests(model, requests);
}
@@ -4627,12 +5192,12 @@
generated_tests::Execute(device,
expand_dims::createTestModel_2,
expand_dims::is_ignored_2,
- expand_dims::examples_2);
+ expand_dims::get_examples_2());
}
TEST_F(ValidationTest, expand_dims_2) {
const Model model = expand_dims::createTestModel_2();
- const std::vector<Request> requests = createRequests(expand_dims::examples_2);
+ const std::vector<Request> requests = createRequests(expand_dims::get_examples_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -4642,12 +5207,12 @@
generated_tests::Execute(device,
expand_dims::createTestModel_relaxed_2,
expand_dims::is_ignored_relaxed_2,
- expand_dims::examples_relaxed_2);
+ expand_dims::get_examples_relaxed_2());
}
TEST_F(ValidationTest, expand_dims_relaxed_2) {
const Model model = expand_dims::createTestModel_relaxed_2();
- const std::vector<Request> requests = createRequests(expand_dims::examples_relaxed_2);
+ const std::vector<Request> requests = createRequests(expand_dims::get_examples_relaxed_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -4657,12 +5222,12 @@
generated_tests::Execute(device,
expand_dims::createTestModel_quant8_2,
expand_dims::is_ignored_quant8_2,
- expand_dims::examples_quant8_2);
+ expand_dims::get_examples_quant8_2());
}
TEST_F(ValidationTest, expand_dims_quant8_2) {
const Model model = expand_dims::createTestModel_quant8_2();
- const std::vector<Request> requests = createRequests(expand_dims::examples_quant8_2);
+ const std::vector<Request> requests = createRequests(expand_dims::get_examples_quant8_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -4672,12 +5237,12 @@
generated_tests::Execute(device,
expand_dims::createTestModel_int32_2,
expand_dims::is_ignored_int32_2,
- expand_dims::examples_int32_2);
+ expand_dims::get_examples_int32_2());
}
TEST_F(ValidationTest, expand_dims_int32_2) {
const Model model = expand_dims::createTestModel_int32_2();
- const std::vector<Request> requests = createRequests(expand_dims::examples_int32_2);
+ const std::vector<Request> requests = createRequests(expand_dims::get_examples_int32_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -4687,12 +5252,12 @@
generated_tests::Execute(device,
expand_dims::createTestModel_3,
expand_dims::is_ignored_3,
- expand_dims::examples_3);
+ expand_dims::get_examples_3());
}
TEST_F(ValidationTest, expand_dims_3) {
const Model model = expand_dims::createTestModel_3();
- const std::vector<Request> requests = createRequests(expand_dims::examples_3);
+ const std::vector<Request> requests = createRequests(expand_dims::get_examples_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -4702,12 +5267,12 @@
generated_tests::Execute(device,
expand_dims::createTestModel_relaxed_3,
expand_dims::is_ignored_relaxed_3,
- expand_dims::examples_relaxed_3);
+ expand_dims::get_examples_relaxed_3());
}
TEST_F(ValidationTest, expand_dims_relaxed_3) {
const Model model = expand_dims::createTestModel_relaxed_3();
- const std::vector<Request> requests = createRequests(expand_dims::examples_relaxed_3);
+ const std::vector<Request> requests = createRequests(expand_dims::get_examples_relaxed_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -4717,12 +5282,12 @@
generated_tests::Execute(device,
expand_dims::createTestModel_quant8_3,
expand_dims::is_ignored_quant8_3,
- expand_dims::examples_quant8_3);
+ expand_dims::get_examples_quant8_3());
}
TEST_F(ValidationTest, expand_dims_quant8_3) {
const Model model = expand_dims::createTestModel_quant8_3();
- const std::vector<Request> requests = createRequests(expand_dims::examples_quant8_3);
+ const std::vector<Request> requests = createRequests(expand_dims::get_examples_quant8_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -4732,12 +5297,12 @@
generated_tests::Execute(device,
expand_dims::createTestModel_int32_3,
expand_dims::is_ignored_int32_3,
- expand_dims::examples_int32_3);
+ expand_dims::get_examples_int32_3());
}
TEST_F(ValidationTest, expand_dims_int32_3) {
const Model model = expand_dims::createTestModel_int32_3();
- const std::vector<Request> requests = createRequests(expand_dims::examples_int32_3);
+ const std::vector<Request> requests = createRequests(expand_dims::get_examples_int32_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -4747,12 +5312,12 @@
generated_tests::Execute(device,
expand_dims::createTestModel_4,
expand_dims::is_ignored_4,
- expand_dims::examples_4);
+ expand_dims::get_examples_4());
}
TEST_F(ValidationTest, expand_dims_4) {
const Model model = expand_dims::createTestModel_4();
- const std::vector<Request> requests = createRequests(expand_dims::examples_4);
+ const std::vector<Request> requests = createRequests(expand_dims::get_examples_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -4762,12 +5327,12 @@
generated_tests::Execute(device,
expand_dims::createTestModel_relaxed_4,
expand_dims::is_ignored_relaxed_4,
- expand_dims::examples_relaxed_4);
+ expand_dims::get_examples_relaxed_4());
}
TEST_F(ValidationTest, expand_dims_relaxed_4) {
const Model model = expand_dims::createTestModel_relaxed_4();
- const std::vector<Request> requests = createRequests(expand_dims::examples_relaxed_4);
+ const std::vector<Request> requests = createRequests(expand_dims::get_examples_relaxed_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -4777,12 +5342,12 @@
generated_tests::Execute(device,
expand_dims::createTestModel_quant8_4,
expand_dims::is_ignored_quant8_4,
- expand_dims::examples_quant8_4);
+ expand_dims::get_examples_quant8_4());
}
TEST_F(ValidationTest, expand_dims_quant8_4) {
const Model model = expand_dims::createTestModel_quant8_4();
- const std::vector<Request> requests = createRequests(expand_dims::examples_quant8_4);
+ const std::vector<Request> requests = createRequests(expand_dims::get_examples_quant8_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -4792,12 +5357,12 @@
generated_tests::Execute(device,
expand_dims::createTestModel_int32_4,
expand_dims::is_ignored_int32_4,
- expand_dims::examples_int32_4);
+ expand_dims::get_examples_int32_4());
}
TEST_F(ValidationTest, expand_dims_int32_4) {
const Model model = expand_dims::createTestModel_int32_4();
- const std::vector<Request> requests = createRequests(expand_dims::examples_int32_4);
+ const std::vector<Request> requests = createRequests(expand_dims::get_examples_int32_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -4815,12 +5380,12 @@
generated_tests::Execute(device,
gather::createTestModel,
gather::is_ignored,
- gather::examples);
+ gather::get_examples());
}
TEST_F(ValidationTest, gather) {
const Model model = gather::createTestModel();
- const std::vector<Request> requests = createRequests(gather::examples);
+ const std::vector<Request> requests = createRequests(gather::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -4830,12 +5395,12 @@
generated_tests::Execute(device,
gather::createTestModel_relaxed,
gather::is_ignored_relaxed,
- gather::examples_relaxed);
+ gather::get_examples_relaxed());
}
TEST_F(ValidationTest, gather_relaxed) {
const Model model = gather::createTestModel_relaxed();
- const std::vector<Request> requests = createRequests(gather::examples_relaxed);
+ const std::vector<Request> requests = createRequests(gather::get_examples_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -4845,12 +5410,12 @@
generated_tests::Execute(device,
gather::createTestModel_quant8,
gather::is_ignored_quant8,
- gather::examples_quant8);
+ gather::get_examples_quant8());
}
TEST_F(ValidationTest, gather_quant8) {
const Model model = gather::createTestModel_quant8();
- const std::vector<Request> requests = createRequests(gather::examples_quant8);
+ const std::vector<Request> requests = createRequests(gather::get_examples_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -4860,12 +5425,12 @@
generated_tests::Execute(device,
gather::createTestModel_int32,
gather::is_ignored_int32,
- gather::examples_int32);
+ gather::get_examples_int32());
}
TEST_F(ValidationTest, gather_int32) {
const Model model = gather::createTestModel_int32();
- const std::vector<Request> requests = createRequests(gather::examples_int32);
+ const std::vector<Request> requests = createRequests(gather::get_examples_int32());
validateModel(model);
validateRequests(model, requests);
}
@@ -4875,12 +5440,12 @@
generated_tests::Execute(device,
gather::createTestModel_float16,
gather::is_ignored_float16,
- gather::examples_float16);
+ gather::get_examples_float16());
}
TEST_F(ValidationTest, gather_float16) {
const Model model = gather::createTestModel_float16();
- const std::vector<Request> requests = createRequests(gather::examples_float16);
+ const std::vector<Request> requests = createRequests(gather::get_examples_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -4890,12 +5455,12 @@
generated_tests::Execute(device,
gather::createTestModel_2,
gather::is_ignored_2,
- gather::examples_2);
+ gather::get_examples_2());
}
TEST_F(ValidationTest, gather_2) {
const Model model = gather::createTestModel_2();
- const std::vector<Request> requests = createRequests(gather::examples_2);
+ const std::vector<Request> requests = createRequests(gather::get_examples_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -4905,12 +5470,12 @@
generated_tests::Execute(device,
gather::createTestModel_relaxed_2,
gather::is_ignored_relaxed_2,
- gather::examples_relaxed_2);
+ gather::get_examples_relaxed_2());
}
TEST_F(ValidationTest, gather_relaxed_2) {
const Model model = gather::createTestModel_relaxed_2();
- const std::vector<Request> requests = createRequests(gather::examples_relaxed_2);
+ const std::vector<Request> requests = createRequests(gather::get_examples_relaxed_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -4920,12 +5485,12 @@
generated_tests::Execute(device,
gather::createTestModel_quant8_2,
gather::is_ignored_quant8_2,
- gather::examples_quant8_2);
+ gather::get_examples_quant8_2());
}
TEST_F(ValidationTest, gather_quant8_2) {
const Model model = gather::createTestModel_quant8_2();
- const std::vector<Request> requests = createRequests(gather::examples_quant8_2);
+ const std::vector<Request> requests = createRequests(gather::get_examples_quant8_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -4935,12 +5500,12 @@
generated_tests::Execute(device,
gather::createTestModel_int32_2,
gather::is_ignored_int32_2,
- gather::examples_int32_2);
+ gather::get_examples_int32_2());
}
TEST_F(ValidationTest, gather_int32_2) {
const Model model = gather::createTestModel_int32_2();
- const std::vector<Request> requests = createRequests(gather::examples_int32_2);
+ const std::vector<Request> requests = createRequests(gather::get_examples_int32_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -4950,12 +5515,12 @@
generated_tests::Execute(device,
gather::createTestModel_float16_2,
gather::is_ignored_float16_2,
- gather::examples_float16_2);
+ gather::get_examples_float16_2());
}
TEST_F(ValidationTest, gather_float16_2) {
const Model model = gather::createTestModel_float16_2();
- const std::vector<Request> requests = createRequests(gather::examples_float16_2);
+ const std::vector<Request> requests = createRequests(gather::get_examples_float16_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -4965,12 +5530,12 @@
generated_tests::Execute(device,
gather::createTestModel_3,
gather::is_ignored_3,
- gather::examples_3);
+ gather::get_examples_3());
}
TEST_F(ValidationTest, gather_3) {
const Model model = gather::createTestModel_3();
- const std::vector<Request> requests = createRequests(gather::examples_3);
+ const std::vector<Request> requests = createRequests(gather::get_examples_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -4980,12 +5545,12 @@
generated_tests::Execute(device,
gather::createTestModel_relaxed_3,
gather::is_ignored_relaxed_3,
- gather::examples_relaxed_3);
+ gather::get_examples_relaxed_3());
}
TEST_F(ValidationTest, gather_relaxed_3) {
const Model model = gather::createTestModel_relaxed_3();
- const std::vector<Request> requests = createRequests(gather::examples_relaxed_3);
+ const std::vector<Request> requests = createRequests(gather::get_examples_relaxed_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -4995,12 +5560,12 @@
generated_tests::Execute(device,
gather::createTestModel_quant8_3,
gather::is_ignored_quant8_3,
- gather::examples_quant8_3);
+ gather::get_examples_quant8_3());
}
TEST_F(ValidationTest, gather_quant8_3) {
const Model model = gather::createTestModel_quant8_3();
- const std::vector<Request> requests = createRequests(gather::examples_quant8_3);
+ const std::vector<Request> requests = createRequests(gather::get_examples_quant8_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -5010,12 +5575,12 @@
generated_tests::Execute(device,
gather::createTestModel_int32_3,
gather::is_ignored_int32_3,
- gather::examples_int32_3);
+ gather::get_examples_int32_3());
}
TEST_F(ValidationTest, gather_int32_3) {
const Model model = gather::createTestModel_int32_3();
- const std::vector<Request> requests = createRequests(gather::examples_int32_3);
+ const std::vector<Request> requests = createRequests(gather::get_examples_int32_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -5025,12 +5590,12 @@
generated_tests::Execute(device,
gather::createTestModel_float16_3,
gather::is_ignored_float16_3,
- gather::examples_float16_3);
+ gather::get_examples_float16_3());
}
TEST_F(ValidationTest, gather_float16_3) {
const Model model = gather::createTestModel_float16_3();
- const std::vector<Request> requests = createRequests(gather::examples_float16_3);
+ const std::vector<Request> requests = createRequests(gather::get_examples_float16_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -5040,12 +5605,12 @@
generated_tests::Execute(device,
gather::createTestModel_4,
gather::is_ignored_4,
- gather::examples_4);
+ gather::get_examples_4());
}
TEST_F(ValidationTest, gather_4) {
const Model model = gather::createTestModel_4();
- const std::vector<Request> requests = createRequests(gather::examples_4);
+ const std::vector<Request> requests = createRequests(gather::get_examples_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -5055,12 +5620,12 @@
generated_tests::Execute(device,
gather::createTestModel_relaxed_4,
gather::is_ignored_relaxed_4,
- gather::examples_relaxed_4);
+ gather::get_examples_relaxed_4());
}
TEST_F(ValidationTest, gather_relaxed_4) {
const Model model = gather::createTestModel_relaxed_4();
- const std::vector<Request> requests = createRequests(gather::examples_relaxed_4);
+ const std::vector<Request> requests = createRequests(gather::get_examples_relaxed_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -5070,12 +5635,12 @@
generated_tests::Execute(device,
gather::createTestModel_quant8_4,
gather::is_ignored_quant8_4,
- gather::examples_quant8_4);
+ gather::get_examples_quant8_4());
}
TEST_F(ValidationTest, gather_quant8_4) {
const Model model = gather::createTestModel_quant8_4();
- const std::vector<Request> requests = createRequests(gather::examples_quant8_4);
+ const std::vector<Request> requests = createRequests(gather::get_examples_quant8_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -5085,12 +5650,12 @@
generated_tests::Execute(device,
gather::createTestModel_int32_4,
gather::is_ignored_int32_4,
- gather::examples_int32_4);
+ gather::get_examples_int32_4());
}
TEST_F(ValidationTest, gather_int32_4) {
const Model model = gather::createTestModel_int32_4();
- const std::vector<Request> requests = createRequests(gather::examples_int32_4);
+ const std::vector<Request> requests = createRequests(gather::get_examples_int32_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -5100,12 +5665,12 @@
generated_tests::Execute(device,
gather::createTestModel_float16_4,
gather::is_ignored_float16_4,
- gather::examples_float16_4);
+ gather::get_examples_float16_4());
}
TEST_F(ValidationTest, gather_float16_4) {
const Model model = gather::createTestModel_float16_4();
- const std::vector<Request> requests = createRequests(gather::examples_float16_4);
+ const std::vector<Request> requests = createRequests(gather::get_examples_float16_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -5115,12 +5680,12 @@
generated_tests::Execute(device,
gather::createTestModel_5,
gather::is_ignored_5,
- gather::examples_5);
+ gather::get_examples_5());
}
TEST_F(ValidationTest, gather_5) {
const Model model = gather::createTestModel_5();
- const std::vector<Request> requests = createRequests(gather::examples_5);
+ const std::vector<Request> requests = createRequests(gather::get_examples_5());
validateModel(model);
validateRequests(model, requests);
}
@@ -5130,12 +5695,12 @@
generated_tests::Execute(device,
gather::createTestModel_relaxed_5,
gather::is_ignored_relaxed_5,
- gather::examples_relaxed_5);
+ gather::get_examples_relaxed_5());
}
TEST_F(ValidationTest, gather_relaxed_5) {
const Model model = gather::createTestModel_relaxed_5();
- const std::vector<Request> requests = createRequests(gather::examples_relaxed_5);
+ const std::vector<Request> requests = createRequests(gather::get_examples_relaxed_5());
validateModel(model);
validateRequests(model, requests);
}
@@ -5145,12 +5710,12 @@
generated_tests::Execute(device,
gather::createTestModel_quant8_5,
gather::is_ignored_quant8_5,
- gather::examples_quant8_5);
+ gather::get_examples_quant8_5());
}
TEST_F(ValidationTest, gather_quant8_5) {
const Model model = gather::createTestModel_quant8_5();
- const std::vector<Request> requests = createRequests(gather::examples_quant8_5);
+ const std::vector<Request> requests = createRequests(gather::get_examples_quant8_5());
validateModel(model);
validateRequests(model, requests);
}
@@ -5160,12 +5725,12 @@
generated_tests::Execute(device,
gather::createTestModel_int32_5,
gather::is_ignored_int32_5,
- gather::examples_int32_5);
+ gather::get_examples_int32_5());
}
TEST_F(ValidationTest, gather_int32_5) {
const Model model = gather::createTestModel_int32_5();
- const std::vector<Request> requests = createRequests(gather::examples_int32_5);
+ const std::vector<Request> requests = createRequests(gather::get_examples_int32_5());
validateModel(model);
validateRequests(model, requests);
}
@@ -5175,12 +5740,12 @@
generated_tests::Execute(device,
gather::createTestModel_float16_5,
gather::is_ignored_float16_5,
- gather::examples_float16_5);
+ gather::get_examples_float16_5());
}
TEST_F(ValidationTest, gather_float16_5) {
const Model model = gather::createTestModel_float16_5();
- const std::vector<Request> requests = createRequests(gather::examples_float16_5);
+ const std::vector<Request> requests = createRequests(gather::get_examples_float16_5());
validateModel(model);
validateRequests(model, requests);
}
@@ -5190,12 +5755,12 @@
generated_tests::Execute(device,
gather::createTestModel_6,
gather::is_ignored_6,
- gather::examples_6);
+ gather::get_examples_6());
}
TEST_F(ValidationTest, gather_6) {
const Model model = gather::createTestModel_6();
- const std::vector<Request> requests = createRequests(gather::examples_6);
+ const std::vector<Request> requests = createRequests(gather::get_examples_6());
validateModel(model);
validateRequests(model, requests);
}
@@ -5205,12 +5770,12 @@
generated_tests::Execute(device,
gather::createTestModel_relaxed_6,
gather::is_ignored_relaxed_6,
- gather::examples_relaxed_6);
+ gather::get_examples_relaxed_6());
}
TEST_F(ValidationTest, gather_relaxed_6) {
const Model model = gather::createTestModel_relaxed_6();
- const std::vector<Request> requests = createRequests(gather::examples_relaxed_6);
+ const std::vector<Request> requests = createRequests(gather::get_examples_relaxed_6());
validateModel(model);
validateRequests(model, requests);
}
@@ -5220,12 +5785,12 @@
generated_tests::Execute(device,
gather::createTestModel_quant8_6,
gather::is_ignored_quant8_6,
- gather::examples_quant8_6);
+ gather::get_examples_quant8_6());
}
TEST_F(ValidationTest, gather_quant8_6) {
const Model model = gather::createTestModel_quant8_6();
- const std::vector<Request> requests = createRequests(gather::examples_quant8_6);
+ const std::vector<Request> requests = createRequests(gather::get_examples_quant8_6());
validateModel(model);
validateRequests(model, requests);
}
@@ -5235,12 +5800,12 @@
generated_tests::Execute(device,
gather::createTestModel_int32_6,
gather::is_ignored_int32_6,
- gather::examples_int32_6);
+ gather::get_examples_int32_6());
}
TEST_F(ValidationTest, gather_int32_6) {
const Model model = gather::createTestModel_int32_6();
- const std::vector<Request> requests = createRequests(gather::examples_int32_6);
+ const std::vector<Request> requests = createRequests(gather::get_examples_int32_6());
validateModel(model);
validateRequests(model, requests);
}
@@ -5250,12 +5815,12 @@
generated_tests::Execute(device,
gather::createTestModel_float16_6,
gather::is_ignored_float16_6,
- gather::examples_float16_6);
+ gather::get_examples_float16_6());
}
TEST_F(ValidationTest, gather_float16_6) {
const Model model = gather::createTestModel_float16_6();
- const std::vector<Request> requests = createRequests(gather::examples_float16_6);
+ const std::vector<Request> requests = createRequests(gather::get_examples_float16_6());
validateModel(model);
validateRequests(model, requests);
}
@@ -5265,12 +5830,12 @@
generated_tests::Execute(device,
gather::createTestModel_7,
gather::is_ignored_7,
- gather::examples_7);
+ gather::get_examples_7());
}
TEST_F(ValidationTest, gather_7) {
const Model model = gather::createTestModel_7();
- const std::vector<Request> requests = createRequests(gather::examples_7);
+ const std::vector<Request> requests = createRequests(gather::get_examples_7());
validateModel(model);
validateRequests(model, requests);
}
@@ -5280,12 +5845,12 @@
generated_tests::Execute(device,
gather::createTestModel_relaxed_7,
gather::is_ignored_relaxed_7,
- gather::examples_relaxed_7);
+ gather::get_examples_relaxed_7());
}
TEST_F(ValidationTest, gather_relaxed_7) {
const Model model = gather::createTestModel_relaxed_7();
- const std::vector<Request> requests = createRequests(gather::examples_relaxed_7);
+ const std::vector<Request> requests = createRequests(gather::get_examples_relaxed_7());
validateModel(model);
validateRequests(model, requests);
}
@@ -5295,12 +5860,12 @@
generated_tests::Execute(device,
gather::createTestModel_quant8_7,
gather::is_ignored_quant8_7,
- gather::examples_quant8_7);
+ gather::get_examples_quant8_7());
}
TEST_F(ValidationTest, gather_quant8_7) {
const Model model = gather::createTestModel_quant8_7();
- const std::vector<Request> requests = createRequests(gather::examples_quant8_7);
+ const std::vector<Request> requests = createRequests(gather::get_examples_quant8_7());
validateModel(model);
validateRequests(model, requests);
}
@@ -5310,12 +5875,12 @@
generated_tests::Execute(device,
gather::createTestModel_int32_7,
gather::is_ignored_int32_7,
- gather::examples_int32_7);
+ gather::get_examples_int32_7());
}
TEST_F(ValidationTest, gather_int32_7) {
const Model model = gather::createTestModel_int32_7();
- const std::vector<Request> requests = createRequests(gather::examples_int32_7);
+ const std::vector<Request> requests = createRequests(gather::get_examples_int32_7());
validateModel(model);
validateRequests(model, requests);
}
@@ -5325,12 +5890,12 @@
generated_tests::Execute(device,
gather::createTestModel_float16_7,
gather::is_ignored_float16_7,
- gather::examples_float16_7);
+ gather::get_examples_float16_7());
}
TEST_F(ValidationTest, gather_float16_7) {
const Model model = gather::createTestModel_float16_7();
- const std::vector<Request> requests = createRequests(gather::examples_float16_7);
+ const std::vector<Request> requests = createRequests(gather::get_examples_float16_7());
validateModel(model);
validateRequests(model, requests);
}
@@ -5340,12 +5905,12 @@
generated_tests::Execute(device,
gather::createTestModel_8,
gather::is_ignored_8,
- gather::examples_8);
+ gather::get_examples_8());
}
TEST_F(ValidationTest, gather_8) {
const Model model = gather::createTestModel_8();
- const std::vector<Request> requests = createRequests(gather::examples_8);
+ const std::vector<Request> requests = createRequests(gather::get_examples_8());
validateModel(model);
validateRequests(model, requests);
}
@@ -5355,12 +5920,12 @@
generated_tests::Execute(device,
gather::createTestModel_relaxed_8,
gather::is_ignored_relaxed_8,
- gather::examples_relaxed_8);
+ gather::get_examples_relaxed_8());
}
TEST_F(ValidationTest, gather_relaxed_8) {
const Model model = gather::createTestModel_relaxed_8();
- const std::vector<Request> requests = createRequests(gather::examples_relaxed_8);
+ const std::vector<Request> requests = createRequests(gather::get_examples_relaxed_8());
validateModel(model);
validateRequests(model, requests);
}
@@ -5370,12 +5935,12 @@
generated_tests::Execute(device,
gather::createTestModel_quant8_8,
gather::is_ignored_quant8_8,
- gather::examples_quant8_8);
+ gather::get_examples_quant8_8());
}
TEST_F(ValidationTest, gather_quant8_8) {
const Model model = gather::createTestModel_quant8_8();
- const std::vector<Request> requests = createRequests(gather::examples_quant8_8);
+ const std::vector<Request> requests = createRequests(gather::get_examples_quant8_8());
validateModel(model);
validateRequests(model, requests);
}
@@ -5385,12 +5950,12 @@
generated_tests::Execute(device,
gather::createTestModel_int32_8,
gather::is_ignored_int32_8,
- gather::examples_int32_8);
+ gather::get_examples_int32_8());
}
TEST_F(ValidationTest, gather_int32_8) {
const Model model = gather::createTestModel_int32_8();
- const std::vector<Request> requests = createRequests(gather::examples_int32_8);
+ const std::vector<Request> requests = createRequests(gather::get_examples_int32_8());
validateModel(model);
validateRequests(model, requests);
}
@@ -5400,12 +5965,12 @@
generated_tests::Execute(device,
gather::createTestModel_float16_8,
gather::is_ignored_float16_8,
- gather::examples_float16_8);
+ gather::get_examples_float16_8());
}
TEST_F(ValidationTest, gather_float16_8) {
const Model model = gather::createTestModel_float16_8();
- const std::vector<Request> requests = createRequests(gather::examples_float16_8);
+ const std::vector<Request> requests = createRequests(gather::get_examples_float16_8());
validateModel(model);
validateRequests(model, requests);
}
@@ -5423,12 +5988,12 @@
generated_tests::Execute(device,
gather_higher_rank::createTestModel,
gather_higher_rank::is_ignored,
- gather_higher_rank::examples);
+ gather_higher_rank::get_examples());
}
TEST_F(ValidationTest, gather_higher_rank) {
const Model model = gather_higher_rank::createTestModel();
- const std::vector<Request> requests = createRequests(gather_higher_rank::examples);
+ const std::vector<Request> requests = createRequests(gather_higher_rank::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -5438,12 +6003,12 @@
generated_tests::Execute(device,
gather_higher_rank::createTestModel_relaxed,
gather_higher_rank::is_ignored_relaxed,
- gather_higher_rank::examples_relaxed);
+ gather_higher_rank::get_examples_relaxed());
}
TEST_F(ValidationTest, gather_higher_rank_relaxed) {
const Model model = gather_higher_rank::createTestModel_relaxed();
- const std::vector<Request> requests = createRequests(gather_higher_rank::examples_relaxed);
+ const std::vector<Request> requests = createRequests(gather_higher_rank::get_examples_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -5453,12 +6018,12 @@
generated_tests::Execute(device,
gather_higher_rank::createTestModel_quant8,
gather_higher_rank::is_ignored_quant8,
- gather_higher_rank::examples_quant8);
+ gather_higher_rank::get_examples_quant8());
}
TEST_F(ValidationTest, gather_higher_rank_quant8) {
const Model model = gather_higher_rank::createTestModel_quant8();
- const std::vector<Request> requests = createRequests(gather_higher_rank::examples_quant8);
+ const std::vector<Request> requests = createRequests(gather_higher_rank::get_examples_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -5468,12 +6033,12 @@
generated_tests::Execute(device,
gather_higher_rank::createTestModel_int32,
gather_higher_rank::is_ignored_int32,
- gather_higher_rank::examples_int32);
+ gather_higher_rank::get_examples_int32());
}
TEST_F(ValidationTest, gather_higher_rank_int32) {
const Model model = gather_higher_rank::createTestModel_int32();
- const std::vector<Request> requests = createRequests(gather_higher_rank::examples_int32);
+ const std::vector<Request> requests = createRequests(gather_higher_rank::get_examples_int32());
validateModel(model);
validateRequests(model, requests);
}
@@ -5491,12 +6056,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nhwc_none,
grouped_conv2d::is_ignored_nhwc_none,
- grouped_conv2d::examples_nhwc_none);
+ grouped_conv2d::get_examples_nhwc_none());
}
TEST_F(ValidationTest, grouped_conv2d_nhwc_none) {
const Model model = grouped_conv2d::createTestModel_nhwc_none();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nhwc_none);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nhwc_none());
validateModel(model);
validateRequests(model, requests);
}
@@ -5506,12 +6071,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nhwc_none_weight_as_input,
grouped_conv2d::is_ignored_nhwc_none_weight_as_input,
- grouped_conv2d::examples_nhwc_none_weight_as_input);
+ grouped_conv2d::get_examples_nhwc_none_weight_as_input());
}
TEST_F(ValidationTest, grouped_conv2d_nhwc_none_weight_as_input) {
const Model model = grouped_conv2d::createTestModel_nhwc_none_weight_as_input();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nhwc_none_weight_as_input);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nhwc_none_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -5521,12 +6086,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nhwc_none_relaxed,
grouped_conv2d::is_ignored_nhwc_none_relaxed,
- grouped_conv2d::examples_nhwc_none_relaxed);
+ grouped_conv2d::get_examples_nhwc_none_relaxed());
}
TEST_F(ValidationTest, grouped_conv2d_nhwc_none_relaxed) {
const Model model = grouped_conv2d::createTestModel_nhwc_none_relaxed();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nhwc_none_relaxed);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nhwc_none_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -5536,12 +6101,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nhwc_none_relaxed_weight_as_input,
grouped_conv2d::is_ignored_nhwc_none_relaxed_weight_as_input,
- grouped_conv2d::examples_nhwc_none_relaxed_weight_as_input);
+ grouped_conv2d::get_examples_nhwc_none_relaxed_weight_as_input());
}
TEST_F(ValidationTest, grouped_conv2d_nhwc_none_relaxed_weight_as_input) {
const Model model = grouped_conv2d::createTestModel_nhwc_none_relaxed_weight_as_input();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nhwc_none_relaxed_weight_as_input);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nhwc_none_relaxed_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -5551,12 +6116,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nhwc_none_quant8,
grouped_conv2d::is_ignored_nhwc_none_quant8,
- grouped_conv2d::examples_nhwc_none_quant8);
+ grouped_conv2d::get_examples_nhwc_none_quant8());
}
TEST_F(ValidationTest, grouped_conv2d_nhwc_none_quant8) {
const Model model = grouped_conv2d::createTestModel_nhwc_none_quant8();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nhwc_none_quant8);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nhwc_none_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -5566,12 +6131,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nhwc_none_quant8_weight_as_input,
grouped_conv2d::is_ignored_nhwc_none_quant8_weight_as_input,
- grouped_conv2d::examples_nhwc_none_quant8_weight_as_input);
+ grouped_conv2d::get_examples_nhwc_none_quant8_weight_as_input());
}
TEST_F(ValidationTest, grouped_conv2d_nhwc_none_quant8_weight_as_input) {
const Model model = grouped_conv2d::createTestModel_nhwc_none_quant8_weight_as_input();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nhwc_none_quant8_weight_as_input);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nhwc_none_quant8_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -5581,12 +6146,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nhwc_relu,
grouped_conv2d::is_ignored_nhwc_relu,
- grouped_conv2d::examples_nhwc_relu);
+ grouped_conv2d::get_examples_nhwc_relu());
}
TEST_F(ValidationTest, grouped_conv2d_nhwc_relu) {
const Model model = grouped_conv2d::createTestModel_nhwc_relu();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nhwc_relu);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nhwc_relu());
validateModel(model);
validateRequests(model, requests);
}
@@ -5596,12 +6161,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nhwc_relu_weight_as_input,
grouped_conv2d::is_ignored_nhwc_relu_weight_as_input,
- grouped_conv2d::examples_nhwc_relu_weight_as_input);
+ grouped_conv2d::get_examples_nhwc_relu_weight_as_input());
}
TEST_F(ValidationTest, grouped_conv2d_nhwc_relu_weight_as_input) {
const Model model = grouped_conv2d::createTestModel_nhwc_relu_weight_as_input();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nhwc_relu_weight_as_input);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nhwc_relu_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -5611,12 +6176,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nhwc_relu_relaxed,
grouped_conv2d::is_ignored_nhwc_relu_relaxed,
- grouped_conv2d::examples_nhwc_relu_relaxed);
+ grouped_conv2d::get_examples_nhwc_relu_relaxed());
}
TEST_F(ValidationTest, grouped_conv2d_nhwc_relu_relaxed) {
const Model model = grouped_conv2d::createTestModel_nhwc_relu_relaxed();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nhwc_relu_relaxed);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nhwc_relu_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -5626,12 +6191,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nhwc_relu_relaxed_weight_as_input,
grouped_conv2d::is_ignored_nhwc_relu_relaxed_weight_as_input,
- grouped_conv2d::examples_nhwc_relu_relaxed_weight_as_input);
+ grouped_conv2d::get_examples_nhwc_relu_relaxed_weight_as_input());
}
TEST_F(ValidationTest, grouped_conv2d_nhwc_relu_relaxed_weight_as_input) {
const Model model = grouped_conv2d::createTestModel_nhwc_relu_relaxed_weight_as_input();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nhwc_relu_relaxed_weight_as_input);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nhwc_relu_relaxed_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -5641,12 +6206,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nhwc_relu_quant8,
grouped_conv2d::is_ignored_nhwc_relu_quant8,
- grouped_conv2d::examples_nhwc_relu_quant8);
+ grouped_conv2d::get_examples_nhwc_relu_quant8());
}
TEST_F(ValidationTest, grouped_conv2d_nhwc_relu_quant8) {
const Model model = grouped_conv2d::createTestModel_nhwc_relu_quant8();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nhwc_relu_quant8);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nhwc_relu_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -5656,12 +6221,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nhwc_relu_quant8_weight_as_input,
grouped_conv2d::is_ignored_nhwc_relu_quant8_weight_as_input,
- grouped_conv2d::examples_nhwc_relu_quant8_weight_as_input);
+ grouped_conv2d::get_examples_nhwc_relu_quant8_weight_as_input());
}
TEST_F(ValidationTest, grouped_conv2d_nhwc_relu_quant8_weight_as_input) {
const Model model = grouped_conv2d::createTestModel_nhwc_relu_quant8_weight_as_input();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nhwc_relu_quant8_weight_as_input);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nhwc_relu_quant8_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -5671,12 +6236,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nhwc_relu1,
grouped_conv2d::is_ignored_nhwc_relu1,
- grouped_conv2d::examples_nhwc_relu1);
+ grouped_conv2d::get_examples_nhwc_relu1());
}
TEST_F(ValidationTest, grouped_conv2d_nhwc_relu1) {
const Model model = grouped_conv2d::createTestModel_nhwc_relu1();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nhwc_relu1);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nhwc_relu1());
validateModel(model);
validateRequests(model, requests);
}
@@ -5686,12 +6251,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nhwc_relu1_weight_as_input,
grouped_conv2d::is_ignored_nhwc_relu1_weight_as_input,
- grouped_conv2d::examples_nhwc_relu1_weight_as_input);
+ grouped_conv2d::get_examples_nhwc_relu1_weight_as_input());
}
TEST_F(ValidationTest, grouped_conv2d_nhwc_relu1_weight_as_input) {
const Model model = grouped_conv2d::createTestModel_nhwc_relu1_weight_as_input();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nhwc_relu1_weight_as_input);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nhwc_relu1_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -5701,12 +6266,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nhwc_relu1_relaxed,
grouped_conv2d::is_ignored_nhwc_relu1_relaxed,
- grouped_conv2d::examples_nhwc_relu1_relaxed);
+ grouped_conv2d::get_examples_nhwc_relu1_relaxed());
}
TEST_F(ValidationTest, grouped_conv2d_nhwc_relu1_relaxed) {
const Model model = grouped_conv2d::createTestModel_nhwc_relu1_relaxed();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nhwc_relu1_relaxed);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nhwc_relu1_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -5716,12 +6281,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nhwc_relu1_relaxed_weight_as_input,
grouped_conv2d::is_ignored_nhwc_relu1_relaxed_weight_as_input,
- grouped_conv2d::examples_nhwc_relu1_relaxed_weight_as_input);
+ grouped_conv2d::get_examples_nhwc_relu1_relaxed_weight_as_input());
}
TEST_F(ValidationTest, grouped_conv2d_nhwc_relu1_relaxed_weight_as_input) {
const Model model = grouped_conv2d::createTestModel_nhwc_relu1_relaxed_weight_as_input();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nhwc_relu1_relaxed_weight_as_input);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nhwc_relu1_relaxed_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -5731,12 +6296,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nhwc_relu1_quant8,
grouped_conv2d::is_ignored_nhwc_relu1_quant8,
- grouped_conv2d::examples_nhwc_relu1_quant8);
+ grouped_conv2d::get_examples_nhwc_relu1_quant8());
}
TEST_F(ValidationTest, grouped_conv2d_nhwc_relu1_quant8) {
const Model model = grouped_conv2d::createTestModel_nhwc_relu1_quant8();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nhwc_relu1_quant8);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nhwc_relu1_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -5746,12 +6311,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nhwc_relu1_quant8_weight_as_input,
grouped_conv2d::is_ignored_nhwc_relu1_quant8_weight_as_input,
- grouped_conv2d::examples_nhwc_relu1_quant8_weight_as_input);
+ grouped_conv2d::get_examples_nhwc_relu1_quant8_weight_as_input());
}
TEST_F(ValidationTest, grouped_conv2d_nhwc_relu1_quant8_weight_as_input) {
const Model model = grouped_conv2d::createTestModel_nhwc_relu1_quant8_weight_as_input();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nhwc_relu1_quant8_weight_as_input);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nhwc_relu1_quant8_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -5761,12 +6326,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nhwc_relu6,
grouped_conv2d::is_ignored_nhwc_relu6,
- grouped_conv2d::examples_nhwc_relu6);
+ grouped_conv2d::get_examples_nhwc_relu6());
}
TEST_F(ValidationTest, grouped_conv2d_nhwc_relu6) {
const Model model = grouped_conv2d::createTestModel_nhwc_relu6();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nhwc_relu6);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nhwc_relu6());
validateModel(model);
validateRequests(model, requests);
}
@@ -5776,12 +6341,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nhwc_relu6_weight_as_input,
grouped_conv2d::is_ignored_nhwc_relu6_weight_as_input,
- grouped_conv2d::examples_nhwc_relu6_weight_as_input);
+ grouped_conv2d::get_examples_nhwc_relu6_weight_as_input());
}
TEST_F(ValidationTest, grouped_conv2d_nhwc_relu6_weight_as_input) {
const Model model = grouped_conv2d::createTestModel_nhwc_relu6_weight_as_input();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nhwc_relu6_weight_as_input);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nhwc_relu6_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -5791,12 +6356,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nhwc_relu6_relaxed,
grouped_conv2d::is_ignored_nhwc_relu6_relaxed,
- grouped_conv2d::examples_nhwc_relu6_relaxed);
+ grouped_conv2d::get_examples_nhwc_relu6_relaxed());
}
TEST_F(ValidationTest, grouped_conv2d_nhwc_relu6_relaxed) {
const Model model = grouped_conv2d::createTestModel_nhwc_relu6_relaxed();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nhwc_relu6_relaxed);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nhwc_relu6_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -5806,12 +6371,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nhwc_relu6_relaxed_weight_as_input,
grouped_conv2d::is_ignored_nhwc_relu6_relaxed_weight_as_input,
- grouped_conv2d::examples_nhwc_relu6_relaxed_weight_as_input);
+ grouped_conv2d::get_examples_nhwc_relu6_relaxed_weight_as_input());
}
TEST_F(ValidationTest, grouped_conv2d_nhwc_relu6_relaxed_weight_as_input) {
const Model model = grouped_conv2d::createTestModel_nhwc_relu6_relaxed_weight_as_input();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nhwc_relu6_relaxed_weight_as_input);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nhwc_relu6_relaxed_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -5821,12 +6386,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nhwc_relu6_quant8,
grouped_conv2d::is_ignored_nhwc_relu6_quant8,
- grouped_conv2d::examples_nhwc_relu6_quant8);
+ grouped_conv2d::get_examples_nhwc_relu6_quant8());
}
TEST_F(ValidationTest, grouped_conv2d_nhwc_relu6_quant8) {
const Model model = grouped_conv2d::createTestModel_nhwc_relu6_quant8();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nhwc_relu6_quant8);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nhwc_relu6_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -5836,12 +6401,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nhwc_relu6_quant8_weight_as_input,
grouped_conv2d::is_ignored_nhwc_relu6_quant8_weight_as_input,
- grouped_conv2d::examples_nhwc_relu6_quant8_weight_as_input);
+ grouped_conv2d::get_examples_nhwc_relu6_quant8_weight_as_input());
}
TEST_F(ValidationTest, grouped_conv2d_nhwc_relu6_quant8_weight_as_input) {
const Model model = grouped_conv2d::createTestModel_nhwc_relu6_quant8_weight_as_input();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nhwc_relu6_quant8_weight_as_input);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nhwc_relu6_quant8_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -5851,12 +6416,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nchw_none,
grouped_conv2d::is_ignored_nchw_none,
- grouped_conv2d::examples_nchw_none);
+ grouped_conv2d::get_examples_nchw_none());
}
TEST_F(ValidationTest, grouped_conv2d_nchw_none) {
const Model model = grouped_conv2d::createTestModel_nchw_none();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nchw_none);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nchw_none());
validateModel(model);
validateRequests(model, requests);
}
@@ -5866,12 +6431,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nchw_none_weight_as_input,
grouped_conv2d::is_ignored_nchw_none_weight_as_input,
- grouped_conv2d::examples_nchw_none_weight_as_input);
+ grouped_conv2d::get_examples_nchw_none_weight_as_input());
}
TEST_F(ValidationTest, grouped_conv2d_nchw_none_weight_as_input) {
const Model model = grouped_conv2d::createTestModel_nchw_none_weight_as_input();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nchw_none_weight_as_input);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nchw_none_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -5881,12 +6446,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nchw_none_relaxed,
grouped_conv2d::is_ignored_nchw_none_relaxed,
- grouped_conv2d::examples_nchw_none_relaxed);
+ grouped_conv2d::get_examples_nchw_none_relaxed());
}
TEST_F(ValidationTest, grouped_conv2d_nchw_none_relaxed) {
const Model model = grouped_conv2d::createTestModel_nchw_none_relaxed();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nchw_none_relaxed);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nchw_none_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -5896,12 +6461,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nchw_none_relaxed_weight_as_input,
grouped_conv2d::is_ignored_nchw_none_relaxed_weight_as_input,
- grouped_conv2d::examples_nchw_none_relaxed_weight_as_input);
+ grouped_conv2d::get_examples_nchw_none_relaxed_weight_as_input());
}
TEST_F(ValidationTest, grouped_conv2d_nchw_none_relaxed_weight_as_input) {
const Model model = grouped_conv2d::createTestModel_nchw_none_relaxed_weight_as_input();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nchw_none_relaxed_weight_as_input);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nchw_none_relaxed_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -5911,12 +6476,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nchw_none_quant8,
grouped_conv2d::is_ignored_nchw_none_quant8,
- grouped_conv2d::examples_nchw_none_quant8);
+ grouped_conv2d::get_examples_nchw_none_quant8());
}
TEST_F(ValidationTest, grouped_conv2d_nchw_none_quant8) {
const Model model = grouped_conv2d::createTestModel_nchw_none_quant8();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nchw_none_quant8);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nchw_none_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -5926,12 +6491,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nchw_none_quant8_weight_as_input,
grouped_conv2d::is_ignored_nchw_none_quant8_weight_as_input,
- grouped_conv2d::examples_nchw_none_quant8_weight_as_input);
+ grouped_conv2d::get_examples_nchw_none_quant8_weight_as_input());
}
TEST_F(ValidationTest, grouped_conv2d_nchw_none_quant8_weight_as_input) {
const Model model = grouped_conv2d::createTestModel_nchw_none_quant8_weight_as_input();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nchw_none_quant8_weight_as_input);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nchw_none_quant8_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -5941,12 +6506,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nchw_relu,
grouped_conv2d::is_ignored_nchw_relu,
- grouped_conv2d::examples_nchw_relu);
+ grouped_conv2d::get_examples_nchw_relu());
}
TEST_F(ValidationTest, grouped_conv2d_nchw_relu) {
const Model model = grouped_conv2d::createTestModel_nchw_relu();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nchw_relu);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nchw_relu());
validateModel(model);
validateRequests(model, requests);
}
@@ -5956,12 +6521,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nchw_relu_weight_as_input,
grouped_conv2d::is_ignored_nchw_relu_weight_as_input,
- grouped_conv2d::examples_nchw_relu_weight_as_input);
+ grouped_conv2d::get_examples_nchw_relu_weight_as_input());
}
TEST_F(ValidationTest, grouped_conv2d_nchw_relu_weight_as_input) {
const Model model = grouped_conv2d::createTestModel_nchw_relu_weight_as_input();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nchw_relu_weight_as_input);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nchw_relu_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -5971,12 +6536,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nchw_relu_relaxed,
grouped_conv2d::is_ignored_nchw_relu_relaxed,
- grouped_conv2d::examples_nchw_relu_relaxed);
+ grouped_conv2d::get_examples_nchw_relu_relaxed());
}
TEST_F(ValidationTest, grouped_conv2d_nchw_relu_relaxed) {
const Model model = grouped_conv2d::createTestModel_nchw_relu_relaxed();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nchw_relu_relaxed);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nchw_relu_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -5986,12 +6551,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nchw_relu_relaxed_weight_as_input,
grouped_conv2d::is_ignored_nchw_relu_relaxed_weight_as_input,
- grouped_conv2d::examples_nchw_relu_relaxed_weight_as_input);
+ grouped_conv2d::get_examples_nchw_relu_relaxed_weight_as_input());
}
TEST_F(ValidationTest, grouped_conv2d_nchw_relu_relaxed_weight_as_input) {
const Model model = grouped_conv2d::createTestModel_nchw_relu_relaxed_weight_as_input();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nchw_relu_relaxed_weight_as_input);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nchw_relu_relaxed_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -6001,12 +6566,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nchw_relu_quant8,
grouped_conv2d::is_ignored_nchw_relu_quant8,
- grouped_conv2d::examples_nchw_relu_quant8);
+ grouped_conv2d::get_examples_nchw_relu_quant8());
}
TEST_F(ValidationTest, grouped_conv2d_nchw_relu_quant8) {
const Model model = grouped_conv2d::createTestModel_nchw_relu_quant8();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nchw_relu_quant8);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nchw_relu_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -6016,12 +6581,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nchw_relu_quant8_weight_as_input,
grouped_conv2d::is_ignored_nchw_relu_quant8_weight_as_input,
- grouped_conv2d::examples_nchw_relu_quant8_weight_as_input);
+ grouped_conv2d::get_examples_nchw_relu_quant8_weight_as_input());
}
TEST_F(ValidationTest, grouped_conv2d_nchw_relu_quant8_weight_as_input) {
const Model model = grouped_conv2d::createTestModel_nchw_relu_quant8_weight_as_input();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nchw_relu_quant8_weight_as_input);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nchw_relu_quant8_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -6031,12 +6596,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nchw_relu1,
grouped_conv2d::is_ignored_nchw_relu1,
- grouped_conv2d::examples_nchw_relu1);
+ grouped_conv2d::get_examples_nchw_relu1());
}
TEST_F(ValidationTest, grouped_conv2d_nchw_relu1) {
const Model model = grouped_conv2d::createTestModel_nchw_relu1();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nchw_relu1);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nchw_relu1());
validateModel(model);
validateRequests(model, requests);
}
@@ -6046,12 +6611,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nchw_relu1_weight_as_input,
grouped_conv2d::is_ignored_nchw_relu1_weight_as_input,
- grouped_conv2d::examples_nchw_relu1_weight_as_input);
+ grouped_conv2d::get_examples_nchw_relu1_weight_as_input());
}
TEST_F(ValidationTest, grouped_conv2d_nchw_relu1_weight_as_input) {
const Model model = grouped_conv2d::createTestModel_nchw_relu1_weight_as_input();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nchw_relu1_weight_as_input);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nchw_relu1_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -6061,12 +6626,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nchw_relu1_relaxed,
grouped_conv2d::is_ignored_nchw_relu1_relaxed,
- grouped_conv2d::examples_nchw_relu1_relaxed);
+ grouped_conv2d::get_examples_nchw_relu1_relaxed());
}
TEST_F(ValidationTest, grouped_conv2d_nchw_relu1_relaxed) {
const Model model = grouped_conv2d::createTestModel_nchw_relu1_relaxed();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nchw_relu1_relaxed);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nchw_relu1_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -6076,12 +6641,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nchw_relu1_relaxed_weight_as_input,
grouped_conv2d::is_ignored_nchw_relu1_relaxed_weight_as_input,
- grouped_conv2d::examples_nchw_relu1_relaxed_weight_as_input);
+ grouped_conv2d::get_examples_nchw_relu1_relaxed_weight_as_input());
}
TEST_F(ValidationTest, grouped_conv2d_nchw_relu1_relaxed_weight_as_input) {
const Model model = grouped_conv2d::createTestModel_nchw_relu1_relaxed_weight_as_input();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nchw_relu1_relaxed_weight_as_input);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nchw_relu1_relaxed_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -6091,12 +6656,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nchw_relu1_quant8,
grouped_conv2d::is_ignored_nchw_relu1_quant8,
- grouped_conv2d::examples_nchw_relu1_quant8);
+ grouped_conv2d::get_examples_nchw_relu1_quant8());
}
TEST_F(ValidationTest, grouped_conv2d_nchw_relu1_quant8) {
const Model model = grouped_conv2d::createTestModel_nchw_relu1_quant8();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nchw_relu1_quant8);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nchw_relu1_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -6106,12 +6671,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nchw_relu1_quant8_weight_as_input,
grouped_conv2d::is_ignored_nchw_relu1_quant8_weight_as_input,
- grouped_conv2d::examples_nchw_relu1_quant8_weight_as_input);
+ grouped_conv2d::get_examples_nchw_relu1_quant8_weight_as_input());
}
TEST_F(ValidationTest, grouped_conv2d_nchw_relu1_quant8_weight_as_input) {
const Model model = grouped_conv2d::createTestModel_nchw_relu1_quant8_weight_as_input();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nchw_relu1_quant8_weight_as_input);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nchw_relu1_quant8_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -6121,12 +6686,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nchw_relu6,
grouped_conv2d::is_ignored_nchw_relu6,
- grouped_conv2d::examples_nchw_relu6);
+ grouped_conv2d::get_examples_nchw_relu6());
}
TEST_F(ValidationTest, grouped_conv2d_nchw_relu6) {
const Model model = grouped_conv2d::createTestModel_nchw_relu6();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nchw_relu6);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nchw_relu6());
validateModel(model);
validateRequests(model, requests);
}
@@ -6136,12 +6701,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nchw_relu6_weight_as_input,
grouped_conv2d::is_ignored_nchw_relu6_weight_as_input,
- grouped_conv2d::examples_nchw_relu6_weight_as_input);
+ grouped_conv2d::get_examples_nchw_relu6_weight_as_input());
}
TEST_F(ValidationTest, grouped_conv2d_nchw_relu6_weight_as_input) {
const Model model = grouped_conv2d::createTestModel_nchw_relu6_weight_as_input();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nchw_relu6_weight_as_input);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nchw_relu6_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -6151,12 +6716,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nchw_relu6_relaxed,
grouped_conv2d::is_ignored_nchw_relu6_relaxed,
- grouped_conv2d::examples_nchw_relu6_relaxed);
+ grouped_conv2d::get_examples_nchw_relu6_relaxed());
}
TEST_F(ValidationTest, grouped_conv2d_nchw_relu6_relaxed) {
const Model model = grouped_conv2d::createTestModel_nchw_relu6_relaxed();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nchw_relu6_relaxed);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nchw_relu6_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -6166,12 +6731,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nchw_relu6_relaxed_weight_as_input,
grouped_conv2d::is_ignored_nchw_relu6_relaxed_weight_as_input,
- grouped_conv2d::examples_nchw_relu6_relaxed_weight_as_input);
+ grouped_conv2d::get_examples_nchw_relu6_relaxed_weight_as_input());
}
TEST_F(ValidationTest, grouped_conv2d_nchw_relu6_relaxed_weight_as_input) {
const Model model = grouped_conv2d::createTestModel_nchw_relu6_relaxed_weight_as_input();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nchw_relu6_relaxed_weight_as_input);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nchw_relu6_relaxed_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -6181,12 +6746,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nchw_relu6_quant8,
grouped_conv2d::is_ignored_nchw_relu6_quant8,
- grouped_conv2d::examples_nchw_relu6_quant8);
+ grouped_conv2d::get_examples_nchw_relu6_quant8());
}
TEST_F(ValidationTest, grouped_conv2d_nchw_relu6_quant8) {
const Model model = grouped_conv2d::createTestModel_nchw_relu6_quant8();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nchw_relu6_quant8);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nchw_relu6_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -6196,12 +6761,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_nchw_relu6_quant8_weight_as_input,
grouped_conv2d::is_ignored_nchw_relu6_quant8_weight_as_input,
- grouped_conv2d::examples_nchw_relu6_quant8_weight_as_input);
+ grouped_conv2d::get_examples_nchw_relu6_quant8_weight_as_input());
}
TEST_F(ValidationTest, grouped_conv2d_nchw_relu6_quant8_weight_as_input) {
const Model model = grouped_conv2d::createTestModel_nchw_relu6_quant8_weight_as_input();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_nchw_relu6_quant8_weight_as_input);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_nchw_relu6_quant8_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -6211,12 +6776,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_large_nhwc,
grouped_conv2d::is_ignored_large_nhwc,
- grouped_conv2d::examples_large_nhwc);
+ grouped_conv2d::get_examples_large_nhwc());
}
TEST_F(ValidationTest, grouped_conv2d_large_nhwc) {
const Model model = grouped_conv2d::createTestModel_large_nhwc();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_large_nhwc);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_large_nhwc());
validateModel(model);
validateRequests(model, requests);
}
@@ -6226,12 +6791,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_large_nhwc_weight_as_input,
grouped_conv2d::is_ignored_large_nhwc_weight_as_input,
- grouped_conv2d::examples_large_nhwc_weight_as_input);
+ grouped_conv2d::get_examples_large_nhwc_weight_as_input());
}
TEST_F(ValidationTest, grouped_conv2d_large_nhwc_weight_as_input) {
const Model model = grouped_conv2d::createTestModel_large_nhwc_weight_as_input();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_large_nhwc_weight_as_input);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_large_nhwc_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -6241,12 +6806,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_large_nhwc_relaxed,
grouped_conv2d::is_ignored_large_nhwc_relaxed,
- grouped_conv2d::examples_large_nhwc_relaxed);
+ grouped_conv2d::get_examples_large_nhwc_relaxed());
}
TEST_F(ValidationTest, grouped_conv2d_large_nhwc_relaxed) {
const Model model = grouped_conv2d::createTestModel_large_nhwc_relaxed();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_large_nhwc_relaxed);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_large_nhwc_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -6256,12 +6821,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_large_nhwc_relaxed_weight_as_input,
grouped_conv2d::is_ignored_large_nhwc_relaxed_weight_as_input,
- grouped_conv2d::examples_large_nhwc_relaxed_weight_as_input);
+ grouped_conv2d::get_examples_large_nhwc_relaxed_weight_as_input());
}
TEST_F(ValidationTest, grouped_conv2d_large_nhwc_relaxed_weight_as_input) {
const Model model = grouped_conv2d::createTestModel_large_nhwc_relaxed_weight_as_input();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_large_nhwc_relaxed_weight_as_input);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_large_nhwc_relaxed_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -6271,12 +6836,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_large_nhwc_quant8,
grouped_conv2d::is_ignored_large_nhwc_quant8,
- grouped_conv2d::examples_large_nhwc_quant8);
+ grouped_conv2d::get_examples_large_nhwc_quant8());
}
TEST_F(ValidationTest, grouped_conv2d_large_nhwc_quant8) {
const Model model = grouped_conv2d::createTestModel_large_nhwc_quant8();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_large_nhwc_quant8);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_large_nhwc_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -6286,12 +6851,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_large_nhwc_quant8_weight_as_input,
grouped_conv2d::is_ignored_large_nhwc_quant8_weight_as_input,
- grouped_conv2d::examples_large_nhwc_quant8_weight_as_input);
+ grouped_conv2d::get_examples_large_nhwc_quant8_weight_as_input());
}
TEST_F(ValidationTest, grouped_conv2d_large_nhwc_quant8_weight_as_input) {
const Model model = grouped_conv2d::createTestModel_large_nhwc_quant8_weight_as_input();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_large_nhwc_quant8_weight_as_input);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_large_nhwc_quant8_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -6301,12 +6866,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_large_nchw,
grouped_conv2d::is_ignored_large_nchw,
- grouped_conv2d::examples_large_nchw);
+ grouped_conv2d::get_examples_large_nchw());
}
TEST_F(ValidationTest, grouped_conv2d_large_nchw) {
const Model model = grouped_conv2d::createTestModel_large_nchw();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_large_nchw);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_large_nchw());
validateModel(model);
validateRequests(model, requests);
}
@@ -6316,12 +6881,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_large_nchw_weight_as_input,
grouped_conv2d::is_ignored_large_nchw_weight_as_input,
- grouped_conv2d::examples_large_nchw_weight_as_input);
+ grouped_conv2d::get_examples_large_nchw_weight_as_input());
}
TEST_F(ValidationTest, grouped_conv2d_large_nchw_weight_as_input) {
const Model model = grouped_conv2d::createTestModel_large_nchw_weight_as_input();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_large_nchw_weight_as_input);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_large_nchw_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -6331,12 +6896,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_large_nchw_relaxed,
grouped_conv2d::is_ignored_large_nchw_relaxed,
- grouped_conv2d::examples_large_nchw_relaxed);
+ grouped_conv2d::get_examples_large_nchw_relaxed());
}
TEST_F(ValidationTest, grouped_conv2d_large_nchw_relaxed) {
const Model model = grouped_conv2d::createTestModel_large_nchw_relaxed();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_large_nchw_relaxed);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_large_nchw_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -6346,12 +6911,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_large_nchw_relaxed_weight_as_input,
grouped_conv2d::is_ignored_large_nchw_relaxed_weight_as_input,
- grouped_conv2d::examples_large_nchw_relaxed_weight_as_input);
+ grouped_conv2d::get_examples_large_nchw_relaxed_weight_as_input());
}
TEST_F(ValidationTest, grouped_conv2d_large_nchw_relaxed_weight_as_input) {
const Model model = grouped_conv2d::createTestModel_large_nchw_relaxed_weight_as_input();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_large_nchw_relaxed_weight_as_input);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_large_nchw_relaxed_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -6361,12 +6926,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_large_nchw_quant8,
grouped_conv2d::is_ignored_large_nchw_quant8,
- grouped_conv2d::examples_large_nchw_quant8);
+ grouped_conv2d::get_examples_large_nchw_quant8());
}
TEST_F(ValidationTest, grouped_conv2d_large_nchw_quant8) {
const Model model = grouped_conv2d::createTestModel_large_nchw_quant8();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_large_nchw_quant8);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_large_nchw_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -6376,12 +6941,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_large_nchw_quant8_weight_as_input,
grouped_conv2d::is_ignored_large_nchw_quant8_weight_as_input,
- grouped_conv2d::examples_large_nchw_quant8_weight_as_input);
+ grouped_conv2d::get_examples_large_nchw_quant8_weight_as_input());
}
TEST_F(ValidationTest, grouped_conv2d_large_nchw_quant8_weight_as_input) {
const Model model = grouped_conv2d::createTestModel_large_nchw_quant8_weight_as_input();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_large_nchw_quant8_weight_as_input);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_large_nchw_quant8_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -6391,12 +6956,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_channel_nhwc,
grouped_conv2d::is_ignored_channel_nhwc,
- grouped_conv2d::examples_channel_nhwc);
+ grouped_conv2d::get_examples_channel_nhwc());
}
TEST_F(ValidationTest, grouped_conv2d_channel_nhwc) {
const Model model = grouped_conv2d::createTestModel_channel_nhwc();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_channel_nhwc);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_channel_nhwc());
validateModel(model);
validateRequests(model, requests);
}
@@ -6406,12 +6971,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_channel_nhwc_weight_as_input,
grouped_conv2d::is_ignored_channel_nhwc_weight_as_input,
- grouped_conv2d::examples_channel_nhwc_weight_as_input);
+ grouped_conv2d::get_examples_channel_nhwc_weight_as_input());
}
TEST_F(ValidationTest, grouped_conv2d_channel_nhwc_weight_as_input) {
const Model model = grouped_conv2d::createTestModel_channel_nhwc_weight_as_input();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_channel_nhwc_weight_as_input);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_channel_nhwc_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -6421,12 +6986,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_channel_nhwc_relaxed,
grouped_conv2d::is_ignored_channel_nhwc_relaxed,
- grouped_conv2d::examples_channel_nhwc_relaxed);
+ grouped_conv2d::get_examples_channel_nhwc_relaxed());
}
TEST_F(ValidationTest, grouped_conv2d_channel_nhwc_relaxed) {
const Model model = grouped_conv2d::createTestModel_channel_nhwc_relaxed();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_channel_nhwc_relaxed);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_channel_nhwc_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -6436,12 +7001,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_channel_nhwc_relaxed_weight_as_input,
grouped_conv2d::is_ignored_channel_nhwc_relaxed_weight_as_input,
- grouped_conv2d::examples_channel_nhwc_relaxed_weight_as_input);
+ grouped_conv2d::get_examples_channel_nhwc_relaxed_weight_as_input());
}
TEST_F(ValidationTest, grouped_conv2d_channel_nhwc_relaxed_weight_as_input) {
const Model model = grouped_conv2d::createTestModel_channel_nhwc_relaxed_weight_as_input();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_channel_nhwc_relaxed_weight_as_input);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_channel_nhwc_relaxed_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -6451,12 +7016,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_channel_nhwc_quant8,
grouped_conv2d::is_ignored_channel_nhwc_quant8,
- grouped_conv2d::examples_channel_nhwc_quant8);
+ grouped_conv2d::get_examples_channel_nhwc_quant8());
}
TEST_F(ValidationTest, grouped_conv2d_channel_nhwc_quant8) {
const Model model = grouped_conv2d::createTestModel_channel_nhwc_quant8();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_channel_nhwc_quant8);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_channel_nhwc_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -6466,12 +7031,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_channel_nhwc_quant8_weight_as_input,
grouped_conv2d::is_ignored_channel_nhwc_quant8_weight_as_input,
- grouped_conv2d::examples_channel_nhwc_quant8_weight_as_input);
+ grouped_conv2d::get_examples_channel_nhwc_quant8_weight_as_input());
}
TEST_F(ValidationTest, grouped_conv2d_channel_nhwc_quant8_weight_as_input) {
const Model model = grouped_conv2d::createTestModel_channel_nhwc_quant8_weight_as_input();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_channel_nhwc_quant8_weight_as_input);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_channel_nhwc_quant8_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -6481,12 +7046,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_channel_nchw,
grouped_conv2d::is_ignored_channel_nchw,
- grouped_conv2d::examples_channel_nchw);
+ grouped_conv2d::get_examples_channel_nchw());
}
TEST_F(ValidationTest, grouped_conv2d_channel_nchw) {
const Model model = grouped_conv2d::createTestModel_channel_nchw();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_channel_nchw);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_channel_nchw());
validateModel(model);
validateRequests(model, requests);
}
@@ -6496,12 +7061,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_channel_nchw_weight_as_input,
grouped_conv2d::is_ignored_channel_nchw_weight_as_input,
- grouped_conv2d::examples_channel_nchw_weight_as_input);
+ grouped_conv2d::get_examples_channel_nchw_weight_as_input());
}
TEST_F(ValidationTest, grouped_conv2d_channel_nchw_weight_as_input) {
const Model model = grouped_conv2d::createTestModel_channel_nchw_weight_as_input();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_channel_nchw_weight_as_input);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_channel_nchw_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -6511,12 +7076,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_channel_nchw_relaxed,
grouped_conv2d::is_ignored_channel_nchw_relaxed,
- grouped_conv2d::examples_channel_nchw_relaxed);
+ grouped_conv2d::get_examples_channel_nchw_relaxed());
}
TEST_F(ValidationTest, grouped_conv2d_channel_nchw_relaxed) {
const Model model = grouped_conv2d::createTestModel_channel_nchw_relaxed();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_channel_nchw_relaxed);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_channel_nchw_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -6526,12 +7091,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_channel_nchw_relaxed_weight_as_input,
grouped_conv2d::is_ignored_channel_nchw_relaxed_weight_as_input,
- grouped_conv2d::examples_channel_nchw_relaxed_weight_as_input);
+ grouped_conv2d::get_examples_channel_nchw_relaxed_weight_as_input());
}
TEST_F(ValidationTest, grouped_conv2d_channel_nchw_relaxed_weight_as_input) {
const Model model = grouped_conv2d::createTestModel_channel_nchw_relaxed_weight_as_input();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_channel_nchw_relaxed_weight_as_input);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_channel_nchw_relaxed_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -6541,12 +7106,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_channel_nchw_quant8,
grouped_conv2d::is_ignored_channel_nchw_quant8,
- grouped_conv2d::examples_channel_nchw_quant8);
+ grouped_conv2d::get_examples_channel_nchw_quant8());
}
TEST_F(ValidationTest, grouped_conv2d_channel_nchw_quant8) {
const Model model = grouped_conv2d::createTestModel_channel_nchw_quant8();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_channel_nchw_quant8);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_channel_nchw_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -6556,12 +7121,12 @@
generated_tests::Execute(device,
grouped_conv2d::createTestModel_channel_nchw_quant8_weight_as_input,
grouped_conv2d::is_ignored_channel_nchw_quant8_weight_as_input,
- grouped_conv2d::examples_channel_nchw_quant8_weight_as_input);
+ grouped_conv2d::get_examples_channel_nchw_quant8_weight_as_input());
}
TEST_F(ValidationTest, grouped_conv2d_channel_nchw_quant8_weight_as_input) {
const Model model = grouped_conv2d::createTestModel_channel_nchw_quant8_weight_as_input();
- const std::vector<Request> requests = createRequests(grouped_conv2d::examples_channel_nchw_quant8_weight_as_input);
+ const std::vector<Request> requests = createRequests(grouped_conv2d::get_examples_channel_nchw_quant8_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -6579,12 +7144,12 @@
generated_tests::Execute(device,
heatmap_max_keypoint::createTestModel_nhwc,
heatmap_max_keypoint::is_ignored_nhwc,
- heatmap_max_keypoint::examples_nhwc);
+ heatmap_max_keypoint::get_examples_nhwc());
}
TEST_F(ValidationTest, heatmap_max_keypoint_nhwc) {
const Model model = heatmap_max_keypoint::createTestModel_nhwc();
- const std::vector<Request> requests = createRequests(heatmap_max_keypoint::examples_nhwc);
+ const std::vector<Request> requests = createRequests(heatmap_max_keypoint::get_examples_nhwc());
validateModel(model);
validateRequests(model, requests);
}
@@ -6594,12 +7159,12 @@
generated_tests::Execute(device,
heatmap_max_keypoint::createTestModel_nhwc_relaxed,
heatmap_max_keypoint::is_ignored_nhwc_relaxed,
- heatmap_max_keypoint::examples_nhwc_relaxed);
+ heatmap_max_keypoint::get_examples_nhwc_relaxed());
}
TEST_F(ValidationTest, heatmap_max_keypoint_nhwc_relaxed) {
const Model model = heatmap_max_keypoint::createTestModel_nhwc_relaxed();
- const std::vector<Request> requests = createRequests(heatmap_max_keypoint::examples_nhwc_relaxed);
+ const std::vector<Request> requests = createRequests(heatmap_max_keypoint::get_examples_nhwc_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -6609,12 +7174,12 @@
generated_tests::Execute(device,
heatmap_max_keypoint::createTestModel_nchw,
heatmap_max_keypoint::is_ignored_nchw,
- heatmap_max_keypoint::examples_nchw);
+ heatmap_max_keypoint::get_examples_nchw());
}
TEST_F(ValidationTest, heatmap_max_keypoint_nchw) {
const Model model = heatmap_max_keypoint::createTestModel_nchw();
- const std::vector<Request> requests = createRequests(heatmap_max_keypoint::examples_nchw);
+ const std::vector<Request> requests = createRequests(heatmap_max_keypoint::get_examples_nchw());
validateModel(model);
validateRequests(model, requests);
}
@@ -6624,12 +7189,12 @@
generated_tests::Execute(device,
heatmap_max_keypoint::createTestModel_nchw_relaxed,
heatmap_max_keypoint::is_ignored_nchw_relaxed,
- heatmap_max_keypoint::examples_nchw_relaxed);
+ heatmap_max_keypoint::get_examples_nchw_relaxed());
}
TEST_F(ValidationTest, heatmap_max_keypoint_nchw_relaxed) {
const Model model = heatmap_max_keypoint::createTestModel_nchw_relaxed();
- const std::vector<Request> requests = createRequests(heatmap_max_keypoint::examples_nchw_relaxed);
+ const std::vector<Request> requests = createRequests(heatmap_max_keypoint::get_examples_nchw_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -6639,12 +7204,12 @@
generated_tests::Execute(device,
heatmap_max_keypoint::createTestModel_nhwc_2,
heatmap_max_keypoint::is_ignored_nhwc_2,
- heatmap_max_keypoint::examples_nhwc_2);
+ heatmap_max_keypoint::get_examples_nhwc_2());
}
TEST_F(ValidationTest, heatmap_max_keypoint_nhwc_2) {
const Model model = heatmap_max_keypoint::createTestModel_nhwc_2();
- const std::vector<Request> requests = createRequests(heatmap_max_keypoint::examples_nhwc_2);
+ const std::vector<Request> requests = createRequests(heatmap_max_keypoint::get_examples_nhwc_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -6654,12 +7219,12 @@
generated_tests::Execute(device,
heatmap_max_keypoint::createTestModel_nhwc_relaxed_2,
heatmap_max_keypoint::is_ignored_nhwc_relaxed_2,
- heatmap_max_keypoint::examples_nhwc_relaxed_2);
+ heatmap_max_keypoint::get_examples_nhwc_relaxed_2());
}
TEST_F(ValidationTest, heatmap_max_keypoint_nhwc_relaxed_2) {
const Model model = heatmap_max_keypoint::createTestModel_nhwc_relaxed_2();
- const std::vector<Request> requests = createRequests(heatmap_max_keypoint::examples_nhwc_relaxed_2);
+ const std::vector<Request> requests = createRequests(heatmap_max_keypoint::get_examples_nhwc_relaxed_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -6669,12 +7234,12 @@
generated_tests::Execute(device,
heatmap_max_keypoint::createTestModel_nchw_2,
heatmap_max_keypoint::is_ignored_nchw_2,
- heatmap_max_keypoint::examples_nchw_2);
+ heatmap_max_keypoint::get_examples_nchw_2());
}
TEST_F(ValidationTest, heatmap_max_keypoint_nchw_2) {
const Model model = heatmap_max_keypoint::createTestModel_nchw_2();
- const std::vector<Request> requests = createRequests(heatmap_max_keypoint::examples_nchw_2);
+ const std::vector<Request> requests = createRequests(heatmap_max_keypoint::get_examples_nchw_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -6684,12 +7249,12 @@
generated_tests::Execute(device,
heatmap_max_keypoint::createTestModel_nchw_relaxed_2,
heatmap_max_keypoint::is_ignored_nchw_relaxed_2,
- heatmap_max_keypoint::examples_nchw_relaxed_2);
+ heatmap_max_keypoint::get_examples_nchw_relaxed_2());
}
TEST_F(ValidationTest, heatmap_max_keypoint_nchw_relaxed_2) {
const Model model = heatmap_max_keypoint::createTestModel_nchw_relaxed_2();
- const std::vector<Request> requests = createRequests(heatmap_max_keypoint::examples_nchw_relaxed_2);
+ const std::vector<Request> requests = createRequests(heatmap_max_keypoint::get_examples_nchw_relaxed_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -6707,12 +7272,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_dim1_axis0,
l2_normalization_v1_2::is_ignored_dim1_axis0,
- l2_normalization_v1_2::examples_dim1_axis0);
+ l2_normalization_v1_2::get_examples_dim1_axis0());
}
TEST_F(ValidationTest, l2_normalization_v1_2_dim1_axis0) {
const Model model = l2_normalization_v1_2::createTestModel_dim1_axis0();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_dim1_axis0);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_dim1_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -6722,12 +7287,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_dim2_axis1,
l2_normalization_v1_2::is_ignored_dim2_axis1,
- l2_normalization_v1_2::examples_dim2_axis1);
+ l2_normalization_v1_2::get_examples_dim2_axis1());
}
TEST_F(ValidationTest, l2_normalization_v1_2_dim2_axis1) {
const Model model = l2_normalization_v1_2::createTestModel_dim2_axis1();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_dim2_axis1);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_dim2_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -6737,12 +7302,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_dim3_axis2,
l2_normalization_v1_2::is_ignored_dim3_axis2,
- l2_normalization_v1_2::examples_dim3_axis2);
+ l2_normalization_v1_2::get_examples_dim3_axis2());
}
TEST_F(ValidationTest, l2_normalization_v1_2_dim3_axis2) {
const Model model = l2_normalization_v1_2::createTestModel_dim3_axis2();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_dim3_axis2);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_dim3_axis2());
validateModel(model);
validateRequests(model, requests);
}
@@ -6752,12 +7317,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_relaxed_dim1_axis0,
l2_normalization_v1_2::is_ignored_relaxed_dim1_axis0,
- l2_normalization_v1_2::examples_relaxed_dim1_axis0);
+ l2_normalization_v1_2::get_examples_relaxed_dim1_axis0());
}
TEST_F(ValidationTest, l2_normalization_v1_2_relaxed_dim1_axis0) {
const Model model = l2_normalization_v1_2::createTestModel_relaxed_dim1_axis0();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_relaxed_dim1_axis0);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_relaxed_dim1_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -6767,12 +7332,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_relaxed_dim2_axis1,
l2_normalization_v1_2::is_ignored_relaxed_dim2_axis1,
- l2_normalization_v1_2::examples_relaxed_dim2_axis1);
+ l2_normalization_v1_2::get_examples_relaxed_dim2_axis1());
}
TEST_F(ValidationTest, l2_normalization_v1_2_relaxed_dim2_axis1) {
const Model model = l2_normalization_v1_2::createTestModel_relaxed_dim2_axis1();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_relaxed_dim2_axis1);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_relaxed_dim2_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -6782,12 +7347,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_relaxed_dim3_axis2,
l2_normalization_v1_2::is_ignored_relaxed_dim3_axis2,
- l2_normalization_v1_2::examples_relaxed_dim3_axis2);
+ l2_normalization_v1_2::get_examples_relaxed_dim3_axis2());
}
TEST_F(ValidationTest, l2_normalization_v1_2_relaxed_dim3_axis2) {
const Model model = l2_normalization_v1_2::createTestModel_relaxed_dim3_axis2();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_relaxed_dim3_axis2);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_relaxed_dim3_axis2());
validateModel(model);
validateRequests(model, requests);
}
@@ -6797,12 +7362,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_dim4_axis0,
l2_normalization_v1_2::is_ignored_axis_dim4_axis0,
- l2_normalization_v1_2::examples_axis_dim4_axis0);
+ l2_normalization_v1_2::get_examples_axis_dim4_axis0());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_dim4_axis0) {
const Model model = l2_normalization_v1_2::createTestModel_axis_dim4_axis0();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_dim4_axis0);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_dim4_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -6812,12 +7377,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_dim4_axis0_neg,
l2_normalization_v1_2::is_ignored_axis_dim4_axis0_neg,
- l2_normalization_v1_2::examples_axis_dim4_axis0_neg);
+ l2_normalization_v1_2::get_examples_axis_dim4_axis0_neg());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_dim4_axis0_neg) {
const Model model = l2_normalization_v1_2::createTestModel_axis_dim4_axis0_neg();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_dim4_axis0_neg);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_dim4_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -6827,12 +7392,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_dim4_axis1,
l2_normalization_v1_2::is_ignored_axis_dim4_axis1,
- l2_normalization_v1_2::examples_axis_dim4_axis1);
+ l2_normalization_v1_2::get_examples_axis_dim4_axis1());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_dim4_axis1) {
const Model model = l2_normalization_v1_2::createTestModel_axis_dim4_axis1();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_dim4_axis1);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_dim4_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -6842,12 +7407,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_dim4_axis1_neg,
l2_normalization_v1_2::is_ignored_axis_dim4_axis1_neg,
- l2_normalization_v1_2::examples_axis_dim4_axis1_neg);
+ l2_normalization_v1_2::get_examples_axis_dim4_axis1_neg());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_dim4_axis1_neg) {
const Model model = l2_normalization_v1_2::createTestModel_axis_dim4_axis1_neg();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_dim4_axis1_neg);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_dim4_axis1_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -6857,12 +7422,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_dim4_axis2,
l2_normalization_v1_2::is_ignored_axis_dim4_axis2,
- l2_normalization_v1_2::examples_axis_dim4_axis2);
+ l2_normalization_v1_2::get_examples_axis_dim4_axis2());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_dim4_axis2) {
const Model model = l2_normalization_v1_2::createTestModel_axis_dim4_axis2();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_dim4_axis2);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_dim4_axis2());
validateModel(model);
validateRequests(model, requests);
}
@@ -6872,12 +7437,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_dim4_axis2_neg,
l2_normalization_v1_2::is_ignored_axis_dim4_axis2_neg,
- l2_normalization_v1_2::examples_axis_dim4_axis2_neg);
+ l2_normalization_v1_2::get_examples_axis_dim4_axis2_neg());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_dim4_axis2_neg) {
const Model model = l2_normalization_v1_2::createTestModel_axis_dim4_axis2_neg();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_dim4_axis2_neg);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_dim4_axis2_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -6887,12 +7452,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_dim4_axis3,
l2_normalization_v1_2::is_ignored_axis_dim4_axis3,
- l2_normalization_v1_2::examples_axis_dim4_axis3);
+ l2_normalization_v1_2::get_examples_axis_dim4_axis3());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_dim4_axis3) {
const Model model = l2_normalization_v1_2::createTestModel_axis_dim4_axis3();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_dim4_axis3);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_dim4_axis3());
validateModel(model);
validateRequests(model, requests);
}
@@ -6902,12 +7467,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_dim4_axis3_neg,
l2_normalization_v1_2::is_ignored_axis_dim4_axis3_neg,
- l2_normalization_v1_2::examples_axis_dim4_axis3_neg);
+ l2_normalization_v1_2::get_examples_axis_dim4_axis3_neg());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_dim4_axis3_neg) {
const Model model = l2_normalization_v1_2::createTestModel_axis_dim4_axis3_neg();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_dim4_axis3_neg);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_dim4_axis3_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -6917,12 +7482,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_dim3_axis0,
l2_normalization_v1_2::is_ignored_axis_dim3_axis0,
- l2_normalization_v1_2::examples_axis_dim3_axis0);
+ l2_normalization_v1_2::get_examples_axis_dim3_axis0());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_dim3_axis0) {
const Model model = l2_normalization_v1_2::createTestModel_axis_dim3_axis0();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_dim3_axis0);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_dim3_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -6932,12 +7497,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_dim3_axis0_neg,
l2_normalization_v1_2::is_ignored_axis_dim3_axis0_neg,
- l2_normalization_v1_2::examples_axis_dim3_axis0_neg);
+ l2_normalization_v1_2::get_examples_axis_dim3_axis0_neg());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_dim3_axis0_neg) {
const Model model = l2_normalization_v1_2::createTestModel_axis_dim3_axis0_neg();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_dim3_axis0_neg);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_dim3_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -6947,12 +7512,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_dim3_axis1,
l2_normalization_v1_2::is_ignored_axis_dim3_axis1,
- l2_normalization_v1_2::examples_axis_dim3_axis1);
+ l2_normalization_v1_2::get_examples_axis_dim3_axis1());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_dim3_axis1) {
const Model model = l2_normalization_v1_2::createTestModel_axis_dim3_axis1();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_dim3_axis1);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_dim3_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -6962,12 +7527,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_dim3_axis1_neg,
l2_normalization_v1_2::is_ignored_axis_dim3_axis1_neg,
- l2_normalization_v1_2::examples_axis_dim3_axis1_neg);
+ l2_normalization_v1_2::get_examples_axis_dim3_axis1_neg());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_dim3_axis1_neg) {
const Model model = l2_normalization_v1_2::createTestModel_axis_dim3_axis1_neg();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_dim3_axis1_neg);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_dim3_axis1_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -6977,12 +7542,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_dim3_axis2,
l2_normalization_v1_2::is_ignored_axis_dim3_axis2,
- l2_normalization_v1_2::examples_axis_dim3_axis2);
+ l2_normalization_v1_2::get_examples_axis_dim3_axis2());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_dim3_axis2) {
const Model model = l2_normalization_v1_2::createTestModel_axis_dim3_axis2();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_dim3_axis2);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_dim3_axis2());
validateModel(model);
validateRequests(model, requests);
}
@@ -6992,12 +7557,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_dim3_axis2_neg,
l2_normalization_v1_2::is_ignored_axis_dim3_axis2_neg,
- l2_normalization_v1_2::examples_axis_dim3_axis2_neg);
+ l2_normalization_v1_2::get_examples_axis_dim3_axis2_neg());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_dim3_axis2_neg) {
const Model model = l2_normalization_v1_2::createTestModel_axis_dim3_axis2_neg();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_dim3_axis2_neg);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_dim3_axis2_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -7007,12 +7572,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_dim2_axis0,
l2_normalization_v1_2::is_ignored_axis_dim2_axis0,
- l2_normalization_v1_2::examples_axis_dim2_axis0);
+ l2_normalization_v1_2::get_examples_axis_dim2_axis0());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_dim2_axis0) {
const Model model = l2_normalization_v1_2::createTestModel_axis_dim2_axis0();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_dim2_axis0);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_dim2_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -7022,12 +7587,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_dim2_axis0_neg,
l2_normalization_v1_2::is_ignored_axis_dim2_axis0_neg,
- l2_normalization_v1_2::examples_axis_dim2_axis0_neg);
+ l2_normalization_v1_2::get_examples_axis_dim2_axis0_neg());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_dim2_axis0_neg) {
const Model model = l2_normalization_v1_2::createTestModel_axis_dim2_axis0_neg();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_dim2_axis0_neg);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_dim2_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -7037,12 +7602,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_dim2_axis1,
l2_normalization_v1_2::is_ignored_axis_dim2_axis1,
- l2_normalization_v1_2::examples_axis_dim2_axis1);
+ l2_normalization_v1_2::get_examples_axis_dim2_axis1());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_dim2_axis1) {
const Model model = l2_normalization_v1_2::createTestModel_axis_dim2_axis1();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_dim2_axis1);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_dim2_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -7052,12 +7617,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_dim2_axis1_neg,
l2_normalization_v1_2::is_ignored_axis_dim2_axis1_neg,
- l2_normalization_v1_2::examples_axis_dim2_axis1_neg);
+ l2_normalization_v1_2::get_examples_axis_dim2_axis1_neg());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_dim2_axis1_neg) {
const Model model = l2_normalization_v1_2::createTestModel_axis_dim2_axis1_neg();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_dim2_axis1_neg);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_dim2_axis1_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -7067,12 +7632,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_dim1_axis0,
l2_normalization_v1_2::is_ignored_axis_dim1_axis0,
- l2_normalization_v1_2::examples_axis_dim1_axis0);
+ l2_normalization_v1_2::get_examples_axis_dim1_axis0());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_dim1_axis0) {
const Model model = l2_normalization_v1_2::createTestModel_axis_dim1_axis0();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_dim1_axis0);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_dim1_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -7082,12 +7647,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_dim1_axis0_neg,
l2_normalization_v1_2::is_ignored_axis_dim1_axis0_neg,
- l2_normalization_v1_2::examples_axis_dim1_axis0_neg);
+ l2_normalization_v1_2::get_examples_axis_dim1_axis0_neg());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_dim1_axis0_neg) {
const Model model = l2_normalization_v1_2::createTestModel_axis_dim1_axis0_neg();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_dim1_axis0_neg);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_dim1_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -7097,12 +7662,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis0,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis0,
- l2_normalization_v1_2::examples_axis_relaxed_dim4_axis0);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim4_axis0());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_relaxed_dim4_axis0) {
const Model model = l2_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis0();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_relaxed_dim4_axis0);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_relaxed_dim4_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -7112,12 +7677,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis0_neg,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis0_neg,
- l2_normalization_v1_2::examples_axis_relaxed_dim4_axis0_neg);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim4_axis0_neg());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_relaxed_dim4_axis0_neg) {
const Model model = l2_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis0_neg();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_relaxed_dim4_axis0_neg);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_relaxed_dim4_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -7127,12 +7692,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis1,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis1,
- l2_normalization_v1_2::examples_axis_relaxed_dim4_axis1);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim4_axis1());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_relaxed_dim4_axis1) {
const Model model = l2_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis1();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_relaxed_dim4_axis1);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_relaxed_dim4_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -7142,12 +7707,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis1_neg,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis1_neg,
- l2_normalization_v1_2::examples_axis_relaxed_dim4_axis1_neg);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim4_axis1_neg());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_relaxed_dim4_axis1_neg) {
const Model model = l2_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis1_neg();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_relaxed_dim4_axis1_neg);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_relaxed_dim4_axis1_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -7157,12 +7722,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis2,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis2,
- l2_normalization_v1_2::examples_axis_relaxed_dim4_axis2);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim4_axis2());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_relaxed_dim4_axis2) {
const Model model = l2_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis2();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_relaxed_dim4_axis2);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_relaxed_dim4_axis2());
validateModel(model);
validateRequests(model, requests);
}
@@ -7172,12 +7737,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis2_neg,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis2_neg,
- l2_normalization_v1_2::examples_axis_relaxed_dim4_axis2_neg);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim4_axis2_neg());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_relaxed_dim4_axis2_neg) {
const Model model = l2_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis2_neg();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_relaxed_dim4_axis2_neg);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_relaxed_dim4_axis2_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -7187,12 +7752,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis3,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis3,
- l2_normalization_v1_2::examples_axis_relaxed_dim4_axis3);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim4_axis3());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_relaxed_dim4_axis3) {
const Model model = l2_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis3();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_relaxed_dim4_axis3);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_relaxed_dim4_axis3());
validateModel(model);
validateRequests(model, requests);
}
@@ -7202,12 +7767,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis3_neg,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis3_neg,
- l2_normalization_v1_2::examples_axis_relaxed_dim4_axis3_neg);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim4_axis3_neg());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_relaxed_dim4_axis3_neg) {
const Model model = l2_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis3_neg();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_relaxed_dim4_axis3_neg);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_relaxed_dim4_axis3_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -7217,12 +7782,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis0,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis0,
- l2_normalization_v1_2::examples_axis_relaxed_dim3_axis0);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim3_axis0());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_relaxed_dim3_axis0) {
const Model model = l2_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis0();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_relaxed_dim3_axis0);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_relaxed_dim3_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -7232,12 +7797,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis0_neg,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis0_neg,
- l2_normalization_v1_2::examples_axis_relaxed_dim3_axis0_neg);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim3_axis0_neg());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_relaxed_dim3_axis0_neg) {
const Model model = l2_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis0_neg();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_relaxed_dim3_axis0_neg);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_relaxed_dim3_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -7247,12 +7812,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis1,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis1,
- l2_normalization_v1_2::examples_axis_relaxed_dim3_axis1);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim3_axis1());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_relaxed_dim3_axis1) {
const Model model = l2_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis1();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_relaxed_dim3_axis1);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_relaxed_dim3_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -7262,12 +7827,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis1_neg,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis1_neg,
- l2_normalization_v1_2::examples_axis_relaxed_dim3_axis1_neg);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim3_axis1_neg());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_relaxed_dim3_axis1_neg) {
const Model model = l2_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis1_neg();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_relaxed_dim3_axis1_neg);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_relaxed_dim3_axis1_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -7277,12 +7842,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis2,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis2,
- l2_normalization_v1_2::examples_axis_relaxed_dim3_axis2);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim3_axis2());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_relaxed_dim3_axis2) {
const Model model = l2_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis2();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_relaxed_dim3_axis2);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_relaxed_dim3_axis2());
validateModel(model);
validateRequests(model, requests);
}
@@ -7292,12 +7857,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis2_neg,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis2_neg,
- l2_normalization_v1_2::examples_axis_relaxed_dim3_axis2_neg);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim3_axis2_neg());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_relaxed_dim3_axis2_neg) {
const Model model = l2_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis2_neg();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_relaxed_dim3_axis2_neg);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_relaxed_dim3_axis2_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -7307,12 +7872,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_relaxed_dim2_axis0,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim2_axis0,
- l2_normalization_v1_2::examples_axis_relaxed_dim2_axis0);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim2_axis0());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_relaxed_dim2_axis0) {
const Model model = l2_normalization_v1_2::createTestModel_axis_relaxed_dim2_axis0();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_relaxed_dim2_axis0);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_relaxed_dim2_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -7322,12 +7887,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_relaxed_dim2_axis0_neg,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim2_axis0_neg,
- l2_normalization_v1_2::examples_axis_relaxed_dim2_axis0_neg);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim2_axis0_neg());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_relaxed_dim2_axis0_neg) {
const Model model = l2_normalization_v1_2::createTestModel_axis_relaxed_dim2_axis0_neg();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_relaxed_dim2_axis0_neg);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_relaxed_dim2_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -7337,12 +7902,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_relaxed_dim2_axis1,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim2_axis1,
- l2_normalization_v1_2::examples_axis_relaxed_dim2_axis1);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim2_axis1());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_relaxed_dim2_axis1) {
const Model model = l2_normalization_v1_2::createTestModel_axis_relaxed_dim2_axis1();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_relaxed_dim2_axis1);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_relaxed_dim2_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -7352,12 +7917,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_relaxed_dim2_axis1_neg,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim2_axis1_neg,
- l2_normalization_v1_2::examples_axis_relaxed_dim2_axis1_neg);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim2_axis1_neg());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_relaxed_dim2_axis1_neg) {
const Model model = l2_normalization_v1_2::createTestModel_axis_relaxed_dim2_axis1_neg();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_relaxed_dim2_axis1_neg);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_relaxed_dim2_axis1_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -7367,12 +7932,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_relaxed_dim1_axis0,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim1_axis0,
- l2_normalization_v1_2::examples_axis_relaxed_dim1_axis0);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim1_axis0());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_relaxed_dim1_axis0) {
const Model model = l2_normalization_v1_2::createTestModel_axis_relaxed_dim1_axis0();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_relaxed_dim1_axis0);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_relaxed_dim1_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -7382,12 +7947,12 @@
generated_tests::Execute(device,
l2_normalization_v1_2::createTestModel_axis_relaxed_dim1_axis0_neg,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim1_axis0_neg,
- l2_normalization_v1_2::examples_axis_relaxed_dim1_axis0_neg);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim1_axis0_neg());
}
TEST_F(ValidationTest, l2_normalization_v1_2_axis_relaxed_dim1_axis0_neg) {
const Model model = l2_normalization_v1_2::createTestModel_axis_relaxed_dim1_axis0_neg();
- const std::vector<Request> requests = createRequests(l2_normalization_v1_2::examples_axis_relaxed_dim1_axis0_neg);
+ const std::vector<Request> requests = createRequests(l2_normalization_v1_2::get_examples_axis_relaxed_dim1_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -7405,12 +7970,12 @@
generated_tests::Execute(device,
l2_pool_v1_2::createTestModel_nhwc,
l2_pool_v1_2::is_ignored_nhwc,
- l2_pool_v1_2::examples_nhwc);
+ l2_pool_v1_2::get_examples_nhwc());
}
TEST_F(ValidationTest, l2_pool_v1_2_nhwc) {
const Model model = l2_pool_v1_2::createTestModel_nhwc();
- const std::vector<Request> requests = createRequests(l2_pool_v1_2::examples_nhwc);
+ const std::vector<Request> requests = createRequests(l2_pool_v1_2::get_examples_nhwc());
validateModel(model);
validateRequests(model, requests);
}
@@ -7420,12 +7985,12 @@
generated_tests::Execute(device,
l2_pool_v1_2::createTestModel_nhwc_relaxed,
l2_pool_v1_2::is_ignored_nhwc_relaxed,
- l2_pool_v1_2::examples_nhwc_relaxed);
+ l2_pool_v1_2::get_examples_nhwc_relaxed());
}
TEST_F(ValidationTest, l2_pool_v1_2_nhwc_relaxed) {
const Model model = l2_pool_v1_2::createTestModel_nhwc_relaxed();
- const std::vector<Request> requests = createRequests(l2_pool_v1_2::examples_nhwc_relaxed);
+ const std::vector<Request> requests = createRequests(l2_pool_v1_2::get_examples_nhwc_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -7435,12 +8000,12 @@
generated_tests::Execute(device,
l2_pool_v1_2::createTestModel_nchw,
l2_pool_v1_2::is_ignored_nchw,
- l2_pool_v1_2::examples_nchw);
+ l2_pool_v1_2::get_examples_nchw());
}
TEST_F(ValidationTest, l2_pool_v1_2_nchw) {
const Model model = l2_pool_v1_2::createTestModel_nchw();
- const std::vector<Request> requests = createRequests(l2_pool_v1_2::examples_nchw);
+ const std::vector<Request> requests = createRequests(l2_pool_v1_2::get_examples_nchw());
validateModel(model);
validateRequests(model, requests);
}
@@ -7450,12 +8015,12 @@
generated_tests::Execute(device,
l2_pool_v1_2::createTestModel_nchw_relaxed,
l2_pool_v1_2::is_ignored_nchw_relaxed,
- l2_pool_v1_2::examples_nchw_relaxed);
+ l2_pool_v1_2::get_examples_nchw_relaxed());
}
TEST_F(ValidationTest, l2_pool_v1_2_nchw_relaxed) {
const Model model = l2_pool_v1_2::createTestModel_nchw_relaxed();
- const std::vector<Request> requests = createRequests(l2_pool_v1_2::examples_nchw_relaxed);
+ const std::vector<Request> requests = createRequests(l2_pool_v1_2::get_examples_nchw_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -7465,12 +8030,12 @@
generated_tests::Execute(device,
l2_pool_v1_2::createTestModel_nhwc_2,
l2_pool_v1_2::is_ignored_nhwc_2,
- l2_pool_v1_2::examples_nhwc_2);
+ l2_pool_v1_2::get_examples_nhwc_2());
}
TEST_F(ValidationTest, l2_pool_v1_2_nhwc_2) {
const Model model = l2_pool_v1_2::createTestModel_nhwc_2();
- const std::vector<Request> requests = createRequests(l2_pool_v1_2::examples_nhwc_2);
+ const std::vector<Request> requests = createRequests(l2_pool_v1_2::get_examples_nhwc_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -7480,12 +8045,12 @@
generated_tests::Execute(device,
l2_pool_v1_2::createTestModel_nhwc_relaxed_2,
l2_pool_v1_2::is_ignored_nhwc_relaxed_2,
- l2_pool_v1_2::examples_nhwc_relaxed_2);
+ l2_pool_v1_2::get_examples_nhwc_relaxed_2());
}
TEST_F(ValidationTest, l2_pool_v1_2_nhwc_relaxed_2) {
const Model model = l2_pool_v1_2::createTestModel_nhwc_relaxed_2();
- const std::vector<Request> requests = createRequests(l2_pool_v1_2::examples_nhwc_relaxed_2);
+ const std::vector<Request> requests = createRequests(l2_pool_v1_2::get_examples_nhwc_relaxed_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -7495,12 +8060,12 @@
generated_tests::Execute(device,
l2_pool_v1_2::createTestModel_nchw_2,
l2_pool_v1_2::is_ignored_nchw_2,
- l2_pool_v1_2::examples_nchw_2);
+ l2_pool_v1_2::get_examples_nchw_2());
}
TEST_F(ValidationTest, l2_pool_v1_2_nchw_2) {
const Model model = l2_pool_v1_2::createTestModel_nchw_2();
- const std::vector<Request> requests = createRequests(l2_pool_v1_2::examples_nchw_2);
+ const std::vector<Request> requests = createRequests(l2_pool_v1_2::get_examples_nchw_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -7510,12 +8075,12 @@
generated_tests::Execute(device,
l2_pool_v1_2::createTestModel_nchw_relaxed_2,
l2_pool_v1_2::is_ignored_nchw_relaxed_2,
- l2_pool_v1_2::examples_nchw_relaxed_2);
+ l2_pool_v1_2::get_examples_nchw_relaxed_2());
}
TEST_F(ValidationTest, l2_pool_v1_2_nchw_relaxed_2) {
const Model model = l2_pool_v1_2::createTestModel_nchw_relaxed_2();
- const std::vector<Request> requests = createRequests(l2_pool_v1_2::examples_nchw_relaxed_2);
+ const std::vector<Request> requests = createRequests(l2_pool_v1_2::get_examples_nchw_relaxed_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -7525,12 +8090,12 @@
generated_tests::Execute(device,
l2_pool_v1_2::createTestModel_large_nhwc,
l2_pool_v1_2::is_ignored_large_nhwc,
- l2_pool_v1_2::examples_large_nhwc);
+ l2_pool_v1_2::get_examples_large_nhwc());
}
TEST_F(ValidationTest, l2_pool_v1_2_large_nhwc) {
const Model model = l2_pool_v1_2::createTestModel_large_nhwc();
- const std::vector<Request> requests = createRequests(l2_pool_v1_2::examples_large_nhwc);
+ const std::vector<Request> requests = createRequests(l2_pool_v1_2::get_examples_large_nhwc());
validateModel(model);
validateRequests(model, requests);
}
@@ -7540,12 +8105,12 @@
generated_tests::Execute(device,
l2_pool_v1_2::createTestModel_large_nhwc_relaxed,
l2_pool_v1_2::is_ignored_large_nhwc_relaxed,
- l2_pool_v1_2::examples_large_nhwc_relaxed);
+ l2_pool_v1_2::get_examples_large_nhwc_relaxed());
}
TEST_F(ValidationTest, l2_pool_v1_2_large_nhwc_relaxed) {
const Model model = l2_pool_v1_2::createTestModel_large_nhwc_relaxed();
- const std::vector<Request> requests = createRequests(l2_pool_v1_2::examples_large_nhwc_relaxed);
+ const std::vector<Request> requests = createRequests(l2_pool_v1_2::get_examples_large_nhwc_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -7555,12 +8120,12 @@
generated_tests::Execute(device,
l2_pool_v1_2::createTestModel_large_nchw,
l2_pool_v1_2::is_ignored_large_nchw,
- l2_pool_v1_2::examples_large_nchw);
+ l2_pool_v1_2::get_examples_large_nchw());
}
TEST_F(ValidationTest, l2_pool_v1_2_large_nchw) {
const Model model = l2_pool_v1_2::createTestModel_large_nchw();
- const std::vector<Request> requests = createRequests(l2_pool_v1_2::examples_large_nchw);
+ const std::vector<Request> requests = createRequests(l2_pool_v1_2::get_examples_large_nchw());
validateModel(model);
validateRequests(model, requests);
}
@@ -7570,12 +8135,12 @@
generated_tests::Execute(device,
l2_pool_v1_2::createTestModel_large_nchw_relaxed,
l2_pool_v1_2::is_ignored_large_nchw_relaxed,
- l2_pool_v1_2::examples_large_nchw_relaxed);
+ l2_pool_v1_2::get_examples_large_nchw_relaxed());
}
TEST_F(ValidationTest, l2_pool_v1_2_large_nchw_relaxed) {
const Model model = l2_pool_v1_2::createTestModel_large_nchw_relaxed();
- const std::vector<Request> requests = createRequests(l2_pool_v1_2::examples_large_nchw_relaxed);
+ const std::vector<Request> requests = createRequests(l2_pool_v1_2::get_examples_large_nchw_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -7593,12 +8158,12 @@
generated_tests::Execute(device,
layer_norm_lstm::createTestModel,
layer_norm_lstm::is_ignored,
- layer_norm_lstm::examples);
+ layer_norm_lstm::get_examples());
}
TEST_F(ValidationTest, layer_norm_lstm) {
const Model model = layer_norm_lstm::createTestModel();
- const std::vector<Request> requests = createRequests(layer_norm_lstm::examples);
+ const std::vector<Request> requests = createRequests(layer_norm_lstm::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -7616,12 +8181,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim4_axis0,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis0,
- local_response_normalization_v1_2::examples_axis_dim4_axis0);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis0());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim4_axis0) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim4_axis0();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim4_axis0);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim4_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -7631,12 +8196,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim4_axis0_neg,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis0_neg,
- local_response_normalization_v1_2::examples_axis_dim4_axis0_neg);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis0_neg());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim4_axis0_neg) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim4_axis0_neg();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim4_axis0_neg);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim4_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -7646,12 +8211,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim4_axis1,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis1,
- local_response_normalization_v1_2::examples_axis_dim4_axis1);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis1());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim4_axis1) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim4_axis1();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim4_axis1);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim4_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -7661,12 +8226,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim4_axis1_neg,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis1_neg,
- local_response_normalization_v1_2::examples_axis_dim4_axis1_neg);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis1_neg());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim4_axis1_neg) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim4_axis1_neg();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim4_axis1_neg);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim4_axis1_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -7676,12 +8241,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim4_axis2,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis2,
- local_response_normalization_v1_2::examples_axis_dim4_axis2);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim4_axis2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim4_axis2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim4_axis2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim4_axis2());
validateModel(model);
validateRequests(model, requests);
}
@@ -7691,12 +8256,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim4_axis2_neg,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis2_neg,
- local_response_normalization_v1_2::examples_axis_dim4_axis2_neg);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis2_neg());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim4_axis2_neg) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim4_axis2_neg();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim4_axis2_neg);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim4_axis2_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -7706,12 +8271,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim4_axis3,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis3,
- local_response_normalization_v1_2::examples_axis_dim4_axis3);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim4_axis3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim4_axis3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim4_axis3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim4_axis3());
validateModel(model);
validateRequests(model, requests);
}
@@ -7721,12 +8286,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim4_axis3_neg,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis3_neg,
- local_response_normalization_v1_2::examples_axis_dim4_axis3_neg);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis3_neg());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim4_axis3_neg) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim4_axis3_neg();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim4_axis3_neg);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim4_axis3_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -7736,12 +8301,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim3_axis0,
local_response_normalization_v1_2::is_ignored_axis_dim3_axis0,
- local_response_normalization_v1_2::examples_axis_dim3_axis0);
+ local_response_normalization_v1_2::get_examples_axis_dim3_axis0());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim3_axis0) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim3_axis0();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim3_axis0);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim3_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -7751,12 +8316,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim3_axis0_neg,
local_response_normalization_v1_2::is_ignored_axis_dim3_axis0_neg,
- local_response_normalization_v1_2::examples_axis_dim3_axis0_neg);
+ local_response_normalization_v1_2::get_examples_axis_dim3_axis0_neg());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim3_axis0_neg) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim3_axis0_neg();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim3_axis0_neg);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim3_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -7766,12 +8331,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim3_axis1,
local_response_normalization_v1_2::is_ignored_axis_dim3_axis1,
- local_response_normalization_v1_2::examples_axis_dim3_axis1);
+ local_response_normalization_v1_2::get_examples_axis_dim3_axis1());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim3_axis1) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim3_axis1();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim3_axis1);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim3_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -7781,12 +8346,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim3_axis1_neg,
local_response_normalization_v1_2::is_ignored_axis_dim3_axis1_neg,
- local_response_normalization_v1_2::examples_axis_dim3_axis1_neg);
+ local_response_normalization_v1_2::get_examples_axis_dim3_axis1_neg());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim3_axis1_neg) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim3_axis1_neg();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim3_axis1_neg);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim3_axis1_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -7796,12 +8361,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim3_axis2,
local_response_normalization_v1_2::is_ignored_axis_dim3_axis2,
- local_response_normalization_v1_2::examples_axis_dim3_axis2);
+ local_response_normalization_v1_2::get_examples_axis_dim3_axis2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim3_axis2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim3_axis2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim3_axis2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim3_axis2());
validateModel(model);
validateRequests(model, requests);
}
@@ -7811,12 +8376,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim3_axis2_neg,
local_response_normalization_v1_2::is_ignored_axis_dim3_axis2_neg,
- local_response_normalization_v1_2::examples_axis_dim3_axis2_neg);
+ local_response_normalization_v1_2::get_examples_axis_dim3_axis2_neg());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim3_axis2_neg) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim3_axis2_neg();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim3_axis2_neg);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim3_axis2_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -7826,12 +8391,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim2_axis0,
local_response_normalization_v1_2::is_ignored_axis_dim2_axis0,
- local_response_normalization_v1_2::examples_axis_dim2_axis0);
+ local_response_normalization_v1_2::get_examples_axis_dim2_axis0());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim2_axis0) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim2_axis0();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim2_axis0);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim2_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -7841,12 +8406,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim2_axis0_neg,
local_response_normalization_v1_2::is_ignored_axis_dim2_axis0_neg,
- local_response_normalization_v1_2::examples_axis_dim2_axis0_neg);
+ local_response_normalization_v1_2::get_examples_axis_dim2_axis0_neg());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim2_axis0_neg) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim2_axis0_neg();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim2_axis0_neg);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim2_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -7856,12 +8421,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim2_axis1,
local_response_normalization_v1_2::is_ignored_axis_dim2_axis1,
- local_response_normalization_v1_2::examples_axis_dim2_axis1);
+ local_response_normalization_v1_2::get_examples_axis_dim2_axis1());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim2_axis1) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim2_axis1();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim2_axis1);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim2_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -7871,12 +8436,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim2_axis1_neg,
local_response_normalization_v1_2::is_ignored_axis_dim2_axis1_neg,
- local_response_normalization_v1_2::examples_axis_dim2_axis1_neg);
+ local_response_normalization_v1_2::get_examples_axis_dim2_axis1_neg());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim2_axis1_neg) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim2_axis1_neg();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim2_axis1_neg);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim2_axis1_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -7886,12 +8451,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim1_axis0,
local_response_normalization_v1_2::is_ignored_axis_dim1_axis0,
- local_response_normalization_v1_2::examples_axis_dim1_axis0);
+ local_response_normalization_v1_2::get_examples_axis_dim1_axis0());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim1_axis0) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim1_axis0();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim1_axis0);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim1_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -7901,12 +8466,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim1_axis0_neg,
local_response_normalization_v1_2::is_ignored_axis_dim1_axis0_neg,
- local_response_normalization_v1_2::examples_axis_dim1_axis0_neg);
+ local_response_normalization_v1_2::get_examples_axis_dim1_axis0_neg());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim1_axis0_neg) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim1_axis0_neg();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim1_axis0_neg);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim1_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -7916,12 +8481,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis0,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis0,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis0);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis0());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim4_axis0) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis0();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis0);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -7931,12 +8496,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis0_neg,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis0_neg,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis0_neg);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis0_neg());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim4_axis0_neg) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis0_neg();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis0_neg);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -7946,12 +8511,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis1,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis1,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis1);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis1());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim4_axis1) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis1();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis1);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -7961,12 +8526,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis1_neg,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis1_neg,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis1_neg);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis1_neg());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim4_axis1_neg) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis1_neg();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis1_neg);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis1_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -7976,12 +8541,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim4_axis2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis2());
validateModel(model);
validateRequests(model, requests);
}
@@ -7991,12 +8556,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis2_neg,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis2_neg,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis2_neg);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis2_neg());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim4_axis2_neg) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis2_neg();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis2_neg);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis2_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -8006,12 +8571,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim4_axis3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis3());
validateModel(model);
validateRequests(model, requests);
}
@@ -8021,12 +8586,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis3_neg,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis3_neg,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis3_neg);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis3_neg());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim4_axis3_neg) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis3_neg();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis3_neg);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis3_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -8036,12 +8601,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis0,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis0,
- local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis0);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis0());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim3_axis0) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis0();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis0);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -8051,12 +8616,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis0_neg,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis0_neg,
- local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis0_neg);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis0_neg());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim3_axis0_neg) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis0_neg();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis0_neg);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -8066,12 +8631,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis1,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis1,
- local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis1);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis1());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim3_axis1) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis1();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis1);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -8081,12 +8646,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis1_neg,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis1_neg,
- local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis1_neg);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis1_neg());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim3_axis1_neg) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis1_neg();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis1_neg);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis1_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -8096,12 +8661,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim3_axis2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8111,12 +8676,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis2_neg,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis2_neg,
- local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis2_neg);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis2_neg());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim3_axis2_neg) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis2_neg();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis2_neg);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis2_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -8126,12 +8691,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim2_axis0,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim2_axis0,
- local_response_normalization_v1_2::examples_axis_relaxed_dim2_axis0);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim2_axis0());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim2_axis0) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim2_axis0();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim2_axis0);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim2_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -8141,12 +8706,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim2_axis0_neg,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim2_axis0_neg,
- local_response_normalization_v1_2::examples_axis_relaxed_dim2_axis0_neg);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim2_axis0_neg());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim2_axis0_neg) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim2_axis0_neg();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim2_axis0_neg);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim2_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -8156,12 +8721,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim2_axis1,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim2_axis1,
- local_response_normalization_v1_2::examples_axis_relaxed_dim2_axis1);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim2_axis1());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim2_axis1) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim2_axis1();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim2_axis1);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim2_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -8171,12 +8736,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim2_axis1_neg,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim2_axis1_neg,
- local_response_normalization_v1_2::examples_axis_relaxed_dim2_axis1_neg);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim2_axis1_neg());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim2_axis1_neg) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim2_axis1_neg();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim2_axis1_neg);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim2_axis1_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -8186,12 +8751,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim1_axis0,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim1_axis0,
- local_response_normalization_v1_2::examples_axis_relaxed_dim1_axis0);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim1_axis0());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim1_axis0) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim1_axis0();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim1_axis0);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim1_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -8201,12 +8766,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim1_axis0_neg,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim1_axis0_neg,
- local_response_normalization_v1_2::examples_axis_relaxed_dim1_axis0_neg);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim1_axis0_neg());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim1_axis0_neg) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim1_axis0_neg();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim1_axis0_neg);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim1_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -8216,12 +8781,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim4_axis0_2,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis0_2,
- local_response_normalization_v1_2::examples_axis_dim4_axis0_2);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis0_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim4_axis0_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim4_axis0_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim4_axis0_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim4_axis0_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8231,12 +8796,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim4_axis0_neg_2,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis0_neg_2,
- local_response_normalization_v1_2::examples_axis_dim4_axis0_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis0_neg_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim4_axis0_neg_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim4_axis0_neg_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim4_axis0_neg_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim4_axis0_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8246,12 +8811,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim4_axis1_2,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis1_2,
- local_response_normalization_v1_2::examples_axis_dim4_axis1_2);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis1_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim4_axis1_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim4_axis1_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim4_axis1_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim4_axis1_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8261,12 +8826,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim4_axis1_neg_2,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis1_neg_2,
- local_response_normalization_v1_2::examples_axis_dim4_axis1_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis1_neg_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim4_axis1_neg_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim4_axis1_neg_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim4_axis1_neg_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim4_axis1_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8276,12 +8841,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim4_axis2_2,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis2_2,
- local_response_normalization_v1_2::examples_axis_dim4_axis2_2);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis2_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim4_axis2_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim4_axis2_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim4_axis2_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim4_axis2_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8291,12 +8856,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim4_axis2_neg_2,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis2_neg_2,
- local_response_normalization_v1_2::examples_axis_dim4_axis2_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis2_neg_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim4_axis2_neg_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim4_axis2_neg_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim4_axis2_neg_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim4_axis2_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8306,12 +8871,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim4_axis3_2,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis3_2,
- local_response_normalization_v1_2::examples_axis_dim4_axis3_2);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis3_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim4_axis3_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim4_axis3_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim4_axis3_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim4_axis3_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8321,12 +8886,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim4_axis3_neg_2,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis3_neg_2,
- local_response_normalization_v1_2::examples_axis_dim4_axis3_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis3_neg_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim4_axis3_neg_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim4_axis3_neg_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim4_axis3_neg_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim4_axis3_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8336,12 +8901,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim3_axis0_2,
local_response_normalization_v1_2::is_ignored_axis_dim3_axis0_2,
- local_response_normalization_v1_2::examples_axis_dim3_axis0_2);
+ local_response_normalization_v1_2::get_examples_axis_dim3_axis0_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim3_axis0_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim3_axis0_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim3_axis0_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim3_axis0_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8351,12 +8916,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim3_axis0_neg_2,
local_response_normalization_v1_2::is_ignored_axis_dim3_axis0_neg_2,
- local_response_normalization_v1_2::examples_axis_dim3_axis0_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_dim3_axis0_neg_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim3_axis0_neg_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim3_axis0_neg_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim3_axis0_neg_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim3_axis0_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8366,12 +8931,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim3_axis1_2,
local_response_normalization_v1_2::is_ignored_axis_dim3_axis1_2,
- local_response_normalization_v1_2::examples_axis_dim3_axis1_2);
+ local_response_normalization_v1_2::get_examples_axis_dim3_axis1_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim3_axis1_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim3_axis1_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim3_axis1_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim3_axis1_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8381,12 +8946,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim3_axis1_neg_2,
local_response_normalization_v1_2::is_ignored_axis_dim3_axis1_neg_2,
- local_response_normalization_v1_2::examples_axis_dim3_axis1_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_dim3_axis1_neg_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim3_axis1_neg_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim3_axis1_neg_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim3_axis1_neg_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim3_axis1_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8396,12 +8961,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim3_axis2_2,
local_response_normalization_v1_2::is_ignored_axis_dim3_axis2_2,
- local_response_normalization_v1_2::examples_axis_dim3_axis2_2);
+ local_response_normalization_v1_2::get_examples_axis_dim3_axis2_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim3_axis2_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim3_axis2_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim3_axis2_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim3_axis2_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8411,12 +8976,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim3_axis2_neg_2,
local_response_normalization_v1_2::is_ignored_axis_dim3_axis2_neg_2,
- local_response_normalization_v1_2::examples_axis_dim3_axis2_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_dim3_axis2_neg_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim3_axis2_neg_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim3_axis2_neg_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim3_axis2_neg_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim3_axis2_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8426,12 +8991,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim2_axis0_2,
local_response_normalization_v1_2::is_ignored_axis_dim2_axis0_2,
- local_response_normalization_v1_2::examples_axis_dim2_axis0_2);
+ local_response_normalization_v1_2::get_examples_axis_dim2_axis0_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim2_axis0_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim2_axis0_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim2_axis0_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim2_axis0_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8441,12 +9006,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim2_axis0_neg_2,
local_response_normalization_v1_2::is_ignored_axis_dim2_axis0_neg_2,
- local_response_normalization_v1_2::examples_axis_dim2_axis0_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_dim2_axis0_neg_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim2_axis0_neg_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim2_axis0_neg_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim2_axis0_neg_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim2_axis0_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8456,12 +9021,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim2_axis1_2,
local_response_normalization_v1_2::is_ignored_axis_dim2_axis1_2,
- local_response_normalization_v1_2::examples_axis_dim2_axis1_2);
+ local_response_normalization_v1_2::get_examples_axis_dim2_axis1_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim2_axis1_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim2_axis1_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim2_axis1_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim2_axis1_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8471,12 +9036,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim2_axis1_neg_2,
local_response_normalization_v1_2::is_ignored_axis_dim2_axis1_neg_2,
- local_response_normalization_v1_2::examples_axis_dim2_axis1_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_dim2_axis1_neg_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim2_axis1_neg_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim2_axis1_neg_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim2_axis1_neg_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim2_axis1_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8486,12 +9051,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim1_axis0_2,
local_response_normalization_v1_2::is_ignored_axis_dim1_axis0_2,
- local_response_normalization_v1_2::examples_axis_dim1_axis0_2);
+ local_response_normalization_v1_2::get_examples_axis_dim1_axis0_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim1_axis0_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim1_axis0_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim1_axis0_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim1_axis0_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8501,12 +9066,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim1_axis0_neg_2,
local_response_normalization_v1_2::is_ignored_axis_dim1_axis0_neg_2,
- local_response_normalization_v1_2::examples_axis_dim1_axis0_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_dim1_axis0_neg_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim1_axis0_neg_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim1_axis0_neg_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim1_axis0_neg_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim1_axis0_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8516,12 +9081,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis0_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis0_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis0_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis0_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim4_axis0_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis0_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis0_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis0_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8531,12 +9096,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis0_neg_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis0_neg_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis0_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis0_neg_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim4_axis0_neg_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis0_neg_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis0_neg_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis0_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8546,12 +9111,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis1_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis1_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis1_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis1_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim4_axis1_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis1_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis1_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis1_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8561,12 +9126,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis1_neg_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis1_neg_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis1_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis1_neg_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim4_axis1_neg_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis1_neg_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis1_neg_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis1_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8576,12 +9141,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis2_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis2_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis2_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis2_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim4_axis2_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis2_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis2_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis2_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8591,12 +9156,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis2_neg_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis2_neg_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis2_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis2_neg_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim4_axis2_neg_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis2_neg_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis2_neg_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis2_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8606,12 +9171,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis3_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis3_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis3_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis3_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim4_axis3_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis3_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis3_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis3_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8621,12 +9186,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis3_neg_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis3_neg_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis3_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis3_neg_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim4_axis3_neg_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis3_neg_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis3_neg_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis3_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8636,12 +9201,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis0_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis0_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis0_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis0_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim3_axis0_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis0_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis0_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis0_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8651,12 +9216,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis0_neg_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis0_neg_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis0_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis0_neg_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim3_axis0_neg_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis0_neg_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis0_neg_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis0_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8666,12 +9231,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis1_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis1_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis1_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis1_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim3_axis1_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis1_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis1_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis1_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8681,12 +9246,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis1_neg_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis1_neg_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis1_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis1_neg_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim3_axis1_neg_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis1_neg_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis1_neg_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis1_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8696,12 +9261,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis2_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis2_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis2_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis2_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim3_axis2_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis2_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis2_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis2_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8711,12 +9276,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis2_neg_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis2_neg_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis2_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis2_neg_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim3_axis2_neg_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis2_neg_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis2_neg_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis2_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8726,12 +9291,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim2_axis0_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim2_axis0_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim2_axis0_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim2_axis0_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim2_axis0_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim2_axis0_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim2_axis0_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim2_axis0_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8741,12 +9306,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim2_axis0_neg_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim2_axis0_neg_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim2_axis0_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim2_axis0_neg_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim2_axis0_neg_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim2_axis0_neg_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim2_axis0_neg_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim2_axis0_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8756,12 +9321,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim2_axis1_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim2_axis1_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim2_axis1_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim2_axis1_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim2_axis1_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim2_axis1_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim2_axis1_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim2_axis1_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8771,12 +9336,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim2_axis1_neg_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim2_axis1_neg_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim2_axis1_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim2_axis1_neg_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim2_axis1_neg_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim2_axis1_neg_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim2_axis1_neg_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim2_axis1_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8786,12 +9351,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim1_axis0_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim1_axis0_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim1_axis0_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim1_axis0_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim1_axis0_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim1_axis0_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim1_axis0_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim1_axis0_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8801,12 +9366,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim1_axis0_neg_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim1_axis0_neg_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim1_axis0_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim1_axis0_neg_2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim1_axis0_neg_2) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim1_axis0_neg_2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim1_axis0_neg_2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim1_axis0_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -8816,12 +9381,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim4_axis0_3,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis0_3,
- local_response_normalization_v1_2::examples_axis_dim4_axis0_3);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis0_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim4_axis0_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim4_axis0_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim4_axis0_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim4_axis0_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -8831,12 +9396,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim4_axis0_neg_3,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis0_neg_3,
- local_response_normalization_v1_2::examples_axis_dim4_axis0_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis0_neg_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim4_axis0_neg_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim4_axis0_neg_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim4_axis0_neg_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim4_axis0_neg_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -8846,12 +9411,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim4_axis1_3,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis1_3,
- local_response_normalization_v1_2::examples_axis_dim4_axis1_3);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis1_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim4_axis1_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim4_axis1_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim4_axis1_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim4_axis1_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -8861,12 +9426,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim4_axis1_neg_3,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis1_neg_3,
- local_response_normalization_v1_2::examples_axis_dim4_axis1_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis1_neg_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim4_axis1_neg_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim4_axis1_neg_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim4_axis1_neg_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim4_axis1_neg_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -8876,12 +9441,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim4_axis2_3,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis2_3,
- local_response_normalization_v1_2::examples_axis_dim4_axis2_3);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis2_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim4_axis2_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim4_axis2_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim4_axis2_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim4_axis2_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -8891,12 +9456,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim4_axis2_neg_3,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis2_neg_3,
- local_response_normalization_v1_2::examples_axis_dim4_axis2_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis2_neg_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim4_axis2_neg_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim4_axis2_neg_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim4_axis2_neg_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim4_axis2_neg_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -8906,12 +9471,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim4_axis3_3,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis3_3,
- local_response_normalization_v1_2::examples_axis_dim4_axis3_3);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis3_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim4_axis3_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim4_axis3_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim4_axis3_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim4_axis3_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -8921,12 +9486,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim4_axis3_neg_3,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis3_neg_3,
- local_response_normalization_v1_2::examples_axis_dim4_axis3_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis3_neg_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim4_axis3_neg_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim4_axis3_neg_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim4_axis3_neg_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim4_axis3_neg_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -8936,12 +9501,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim3_axis0_3,
local_response_normalization_v1_2::is_ignored_axis_dim3_axis0_3,
- local_response_normalization_v1_2::examples_axis_dim3_axis0_3);
+ local_response_normalization_v1_2::get_examples_axis_dim3_axis0_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim3_axis0_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim3_axis0_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim3_axis0_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim3_axis0_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -8951,12 +9516,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim3_axis0_neg_3,
local_response_normalization_v1_2::is_ignored_axis_dim3_axis0_neg_3,
- local_response_normalization_v1_2::examples_axis_dim3_axis0_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_dim3_axis0_neg_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim3_axis0_neg_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim3_axis0_neg_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim3_axis0_neg_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim3_axis0_neg_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -8966,12 +9531,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim3_axis1_3,
local_response_normalization_v1_2::is_ignored_axis_dim3_axis1_3,
- local_response_normalization_v1_2::examples_axis_dim3_axis1_3);
+ local_response_normalization_v1_2::get_examples_axis_dim3_axis1_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim3_axis1_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim3_axis1_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim3_axis1_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim3_axis1_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -8981,12 +9546,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim3_axis1_neg_3,
local_response_normalization_v1_2::is_ignored_axis_dim3_axis1_neg_3,
- local_response_normalization_v1_2::examples_axis_dim3_axis1_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_dim3_axis1_neg_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim3_axis1_neg_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim3_axis1_neg_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim3_axis1_neg_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim3_axis1_neg_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -8996,12 +9561,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim3_axis2_3,
local_response_normalization_v1_2::is_ignored_axis_dim3_axis2_3,
- local_response_normalization_v1_2::examples_axis_dim3_axis2_3);
+ local_response_normalization_v1_2::get_examples_axis_dim3_axis2_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim3_axis2_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim3_axis2_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim3_axis2_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim3_axis2_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -9011,12 +9576,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim3_axis2_neg_3,
local_response_normalization_v1_2::is_ignored_axis_dim3_axis2_neg_3,
- local_response_normalization_v1_2::examples_axis_dim3_axis2_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_dim3_axis2_neg_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim3_axis2_neg_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim3_axis2_neg_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim3_axis2_neg_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim3_axis2_neg_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -9026,12 +9591,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim2_axis0_3,
local_response_normalization_v1_2::is_ignored_axis_dim2_axis0_3,
- local_response_normalization_v1_2::examples_axis_dim2_axis0_3);
+ local_response_normalization_v1_2::get_examples_axis_dim2_axis0_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim2_axis0_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim2_axis0_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim2_axis0_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim2_axis0_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -9041,12 +9606,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim2_axis0_neg_3,
local_response_normalization_v1_2::is_ignored_axis_dim2_axis0_neg_3,
- local_response_normalization_v1_2::examples_axis_dim2_axis0_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_dim2_axis0_neg_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim2_axis0_neg_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim2_axis0_neg_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim2_axis0_neg_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim2_axis0_neg_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -9056,12 +9621,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim2_axis1_3,
local_response_normalization_v1_2::is_ignored_axis_dim2_axis1_3,
- local_response_normalization_v1_2::examples_axis_dim2_axis1_3);
+ local_response_normalization_v1_2::get_examples_axis_dim2_axis1_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim2_axis1_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim2_axis1_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim2_axis1_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim2_axis1_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -9071,12 +9636,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim2_axis1_neg_3,
local_response_normalization_v1_2::is_ignored_axis_dim2_axis1_neg_3,
- local_response_normalization_v1_2::examples_axis_dim2_axis1_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_dim2_axis1_neg_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim2_axis1_neg_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim2_axis1_neg_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim2_axis1_neg_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim2_axis1_neg_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -9086,12 +9651,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim1_axis0_3,
local_response_normalization_v1_2::is_ignored_axis_dim1_axis0_3,
- local_response_normalization_v1_2::examples_axis_dim1_axis0_3);
+ local_response_normalization_v1_2::get_examples_axis_dim1_axis0_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim1_axis0_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim1_axis0_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim1_axis0_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim1_axis0_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -9101,12 +9666,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_dim1_axis0_neg_3,
local_response_normalization_v1_2::is_ignored_axis_dim1_axis0_neg_3,
- local_response_normalization_v1_2::examples_axis_dim1_axis0_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_dim1_axis0_neg_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_dim1_axis0_neg_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_dim1_axis0_neg_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_dim1_axis0_neg_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_dim1_axis0_neg_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -9116,12 +9681,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis0_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis0_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis0_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis0_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim4_axis0_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis0_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis0_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis0_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -9131,12 +9696,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis0_neg_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis0_neg_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis0_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis0_neg_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim4_axis0_neg_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis0_neg_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis0_neg_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis0_neg_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -9146,12 +9711,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis1_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis1_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis1_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis1_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim4_axis1_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis1_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis1_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis1_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -9161,12 +9726,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis1_neg_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis1_neg_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis1_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis1_neg_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim4_axis1_neg_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis1_neg_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis1_neg_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis1_neg_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -9176,12 +9741,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis2_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis2_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis2_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis2_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim4_axis2_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis2_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis2_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis2_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -9191,12 +9756,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis2_neg_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis2_neg_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis2_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis2_neg_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim4_axis2_neg_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis2_neg_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis2_neg_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis2_neg_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -9206,12 +9771,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis3_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis3_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis3_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis3_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim4_axis3_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis3_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis3_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis3_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -9221,12 +9786,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis3_neg_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis3_neg_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis3_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis3_neg_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim4_axis3_neg_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim4_axis3_neg_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis3_neg_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis3_neg_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -9236,12 +9801,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis0_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis0_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis0_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis0_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim3_axis0_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis0_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis0_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis0_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -9251,12 +9816,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis0_neg_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis0_neg_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis0_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis0_neg_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim3_axis0_neg_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis0_neg_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis0_neg_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis0_neg_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -9266,12 +9831,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis1_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis1_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis1_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis1_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim3_axis1_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis1_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis1_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis1_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -9281,12 +9846,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis1_neg_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis1_neg_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis1_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis1_neg_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim3_axis1_neg_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis1_neg_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis1_neg_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis1_neg_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -9296,12 +9861,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis2_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis2_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis2_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis2_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim3_axis2_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis2_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis2_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis2_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -9311,12 +9876,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis2_neg_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis2_neg_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis2_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis2_neg_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim3_axis2_neg_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim3_axis2_neg_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis2_neg_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis2_neg_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -9326,12 +9891,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim2_axis0_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim2_axis0_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim2_axis0_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim2_axis0_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim2_axis0_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim2_axis0_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim2_axis0_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim2_axis0_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -9341,12 +9906,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim2_axis0_neg_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim2_axis0_neg_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim2_axis0_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim2_axis0_neg_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim2_axis0_neg_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim2_axis0_neg_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim2_axis0_neg_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim2_axis0_neg_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -9356,12 +9921,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim2_axis1_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim2_axis1_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim2_axis1_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim2_axis1_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim2_axis1_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim2_axis1_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim2_axis1_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim2_axis1_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -9371,12 +9936,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim2_axis1_neg_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim2_axis1_neg_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim2_axis1_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim2_axis1_neg_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim2_axis1_neg_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim2_axis1_neg_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim2_axis1_neg_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim2_axis1_neg_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -9386,12 +9951,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim1_axis0_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim1_axis0_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim1_axis0_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim1_axis0_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim1_axis0_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim1_axis0_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim1_axis0_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim1_axis0_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -9401,12 +9966,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_axis_relaxed_dim1_axis0_neg_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim1_axis0_neg_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim1_axis0_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim1_axis0_neg_3());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_axis_relaxed_dim1_axis0_neg_3) {
const Model model = local_response_normalization_v1_2::createTestModel_axis_relaxed_dim1_axis0_neg_3();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_axis_relaxed_dim1_axis0_neg_3);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_axis_relaxed_dim1_axis0_neg_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -9416,12 +9981,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_dim1_axis0,
local_response_normalization_v1_2::is_ignored_dim1_axis0,
- local_response_normalization_v1_2::examples_dim1_axis0);
+ local_response_normalization_v1_2::get_examples_dim1_axis0());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_dim1_axis0) {
const Model model = local_response_normalization_v1_2::createTestModel_dim1_axis0();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_dim1_axis0);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_dim1_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -9431,12 +9996,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_dim2_axis1,
local_response_normalization_v1_2::is_ignored_dim2_axis1,
- local_response_normalization_v1_2::examples_dim2_axis1);
+ local_response_normalization_v1_2::get_examples_dim2_axis1());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_dim2_axis1) {
const Model model = local_response_normalization_v1_2::createTestModel_dim2_axis1();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_dim2_axis1);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_dim2_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -9446,12 +10011,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_dim3_axis2,
local_response_normalization_v1_2::is_ignored_dim3_axis2,
- local_response_normalization_v1_2::examples_dim3_axis2);
+ local_response_normalization_v1_2::get_examples_dim3_axis2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_dim3_axis2) {
const Model model = local_response_normalization_v1_2::createTestModel_dim3_axis2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_dim3_axis2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_dim3_axis2());
validateModel(model);
validateRequests(model, requests);
}
@@ -9461,12 +10026,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_relaxed_dim1_axis0,
local_response_normalization_v1_2::is_ignored_relaxed_dim1_axis0,
- local_response_normalization_v1_2::examples_relaxed_dim1_axis0);
+ local_response_normalization_v1_2::get_examples_relaxed_dim1_axis0());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_relaxed_dim1_axis0) {
const Model model = local_response_normalization_v1_2::createTestModel_relaxed_dim1_axis0();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_relaxed_dim1_axis0);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_relaxed_dim1_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -9476,12 +10041,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_relaxed_dim2_axis1,
local_response_normalization_v1_2::is_ignored_relaxed_dim2_axis1,
- local_response_normalization_v1_2::examples_relaxed_dim2_axis1);
+ local_response_normalization_v1_2::get_examples_relaxed_dim2_axis1());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_relaxed_dim2_axis1) {
const Model model = local_response_normalization_v1_2::createTestModel_relaxed_dim2_axis1();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_relaxed_dim2_axis1);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_relaxed_dim2_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -9491,12 +10056,12 @@
generated_tests::Execute(device,
local_response_normalization_v1_2::createTestModel_relaxed_dim3_axis2,
local_response_normalization_v1_2::is_ignored_relaxed_dim3_axis2,
- local_response_normalization_v1_2::examples_relaxed_dim3_axis2);
+ local_response_normalization_v1_2::get_examples_relaxed_dim3_axis2());
}
TEST_F(ValidationTest, local_response_normalization_v1_2_relaxed_dim3_axis2) {
const Model model = local_response_normalization_v1_2::createTestModel_relaxed_dim3_axis2();
- const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::examples_relaxed_dim3_axis2);
+ const std::vector<Request> requests = createRequests(local_response_normalization_v1_2::get_examples_relaxed_dim3_axis2());
validateModel(model);
validateRequests(model, requests);
}
@@ -9514,12 +10079,12 @@
generated_tests::Execute(device,
logistic_float16_1::createTestModel,
logistic_float16_1::is_ignored,
- logistic_float16_1::examples);
+ logistic_float16_1::get_examples());
}
TEST_F(ValidationTest, logistic_float16_1) {
const Model model = logistic_float16_1::createTestModel();
- const std::vector<Request> requests = createRequests(logistic_float16_1::examples);
+ const std::vector<Request> requests = createRequests(logistic_float16_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -9537,12 +10102,12 @@
generated_tests::Execute(device,
logistic_float16_2::createTestModel,
logistic_float16_2::is_ignored,
- logistic_float16_2::examples);
+ logistic_float16_2::get_examples());
}
TEST_F(ValidationTest, logistic_float16_2) {
const Model model = logistic_float16_2::createTestModel();
- const std::vector<Request> requests = createRequests(logistic_float16_2::examples);
+ const std::vector<Request> requests = createRequests(logistic_float16_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -9560,12 +10125,12 @@
generated_tests::Execute(device,
lsh_projection_3_relaxed::createTestModel,
lsh_projection_3_relaxed::is_ignored,
- lsh_projection_3_relaxed::examples);
+ lsh_projection_3_relaxed::get_examples());
}
TEST_F(ValidationTest, lsh_projection_3_relaxed) {
const Model model = lsh_projection_3_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(lsh_projection_3_relaxed::examples);
+ const std::vector<Request> requests = createRequests(lsh_projection_3_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -9583,12 +10148,12 @@
generated_tests::Execute(device,
lsh_projection_4_relaxed::createTestModel,
lsh_projection_4_relaxed::is_ignored,
- lsh_projection_4_relaxed::examples);
+ lsh_projection_4_relaxed::get_examples());
}
TEST_F(ValidationTest, lsh_projection_4_relaxed) {
const Model model = lsh_projection_4_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(lsh_projection_4_relaxed::examples);
+ const std::vector<Request> requests = createRequests(lsh_projection_4_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -9606,12 +10171,12 @@
generated_tests::Execute(device,
lsh_projection_deprecated::createTestModel,
lsh_projection_deprecated::is_ignored,
- lsh_projection_deprecated::examples);
+ lsh_projection_deprecated::get_examples());
}
TEST_F(ValidationTest, lsh_projection_deprecated) {
const Model model = lsh_projection_deprecated::createTestModel();
- const std::vector<Request> requests = createRequests(lsh_projection_deprecated::examples);
+ const std::vector<Request> requests = createRequests(lsh_projection_deprecated::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -9629,12 +10194,12 @@
generated_tests::Execute(device,
max_pool_v1_2::createTestModel_nhwc,
max_pool_v1_2::is_ignored_nhwc,
- max_pool_v1_2::examples_nhwc);
+ max_pool_v1_2::get_examples_nhwc());
}
TEST_F(ValidationTest, max_pool_v1_2_nhwc) {
const Model model = max_pool_v1_2::createTestModel_nhwc();
- const std::vector<Request> requests = createRequests(max_pool_v1_2::examples_nhwc);
+ const std::vector<Request> requests = createRequests(max_pool_v1_2::get_examples_nhwc());
validateModel(model);
validateRequests(model, requests);
}
@@ -9644,12 +10209,12 @@
generated_tests::Execute(device,
max_pool_v1_2::createTestModel_nhwc_relaxed,
max_pool_v1_2::is_ignored_nhwc_relaxed,
- max_pool_v1_2::examples_nhwc_relaxed);
+ max_pool_v1_2::get_examples_nhwc_relaxed());
}
TEST_F(ValidationTest, max_pool_v1_2_nhwc_relaxed) {
const Model model = max_pool_v1_2::createTestModel_nhwc_relaxed();
- const std::vector<Request> requests = createRequests(max_pool_v1_2::examples_nhwc_relaxed);
+ const std::vector<Request> requests = createRequests(max_pool_v1_2::get_examples_nhwc_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -9659,12 +10224,12 @@
generated_tests::Execute(device,
max_pool_v1_2::createTestModel_nhwc_quant8,
max_pool_v1_2::is_ignored_nhwc_quant8,
- max_pool_v1_2::examples_nhwc_quant8);
+ max_pool_v1_2::get_examples_nhwc_quant8());
}
TEST_F(ValidationTest, max_pool_v1_2_nhwc_quant8) {
const Model model = max_pool_v1_2::createTestModel_nhwc_quant8();
- const std::vector<Request> requests = createRequests(max_pool_v1_2::examples_nhwc_quant8);
+ const std::vector<Request> requests = createRequests(max_pool_v1_2::get_examples_nhwc_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -9674,12 +10239,12 @@
generated_tests::Execute(device,
max_pool_v1_2::createTestModel_nchw,
max_pool_v1_2::is_ignored_nchw,
- max_pool_v1_2::examples_nchw);
+ max_pool_v1_2::get_examples_nchw());
}
TEST_F(ValidationTest, max_pool_v1_2_nchw) {
const Model model = max_pool_v1_2::createTestModel_nchw();
- const std::vector<Request> requests = createRequests(max_pool_v1_2::examples_nchw);
+ const std::vector<Request> requests = createRequests(max_pool_v1_2::get_examples_nchw());
validateModel(model);
validateRequests(model, requests);
}
@@ -9689,12 +10254,12 @@
generated_tests::Execute(device,
max_pool_v1_2::createTestModel_nchw_relaxed,
max_pool_v1_2::is_ignored_nchw_relaxed,
- max_pool_v1_2::examples_nchw_relaxed);
+ max_pool_v1_2::get_examples_nchw_relaxed());
}
TEST_F(ValidationTest, max_pool_v1_2_nchw_relaxed) {
const Model model = max_pool_v1_2::createTestModel_nchw_relaxed();
- const std::vector<Request> requests = createRequests(max_pool_v1_2::examples_nchw_relaxed);
+ const std::vector<Request> requests = createRequests(max_pool_v1_2::get_examples_nchw_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -9704,12 +10269,12 @@
generated_tests::Execute(device,
max_pool_v1_2::createTestModel_nchw_quant8,
max_pool_v1_2::is_ignored_nchw_quant8,
- max_pool_v1_2::examples_nchw_quant8);
+ max_pool_v1_2::get_examples_nchw_quant8());
}
TEST_F(ValidationTest, max_pool_v1_2_nchw_quant8) {
const Model model = max_pool_v1_2::createTestModel_nchw_quant8();
- const std::vector<Request> requests = createRequests(max_pool_v1_2::examples_nchw_quant8);
+ const std::vector<Request> requests = createRequests(max_pool_v1_2::get_examples_nchw_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -9719,12 +10284,12 @@
generated_tests::Execute(device,
max_pool_v1_2::createTestModel_nhwc_2,
max_pool_v1_2::is_ignored_nhwc_2,
- max_pool_v1_2::examples_nhwc_2);
+ max_pool_v1_2::get_examples_nhwc_2());
}
TEST_F(ValidationTest, max_pool_v1_2_nhwc_2) {
const Model model = max_pool_v1_2::createTestModel_nhwc_2();
- const std::vector<Request> requests = createRequests(max_pool_v1_2::examples_nhwc_2);
+ const std::vector<Request> requests = createRequests(max_pool_v1_2::get_examples_nhwc_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -9734,12 +10299,12 @@
generated_tests::Execute(device,
max_pool_v1_2::createTestModel_nhwc_relaxed_2,
max_pool_v1_2::is_ignored_nhwc_relaxed_2,
- max_pool_v1_2::examples_nhwc_relaxed_2);
+ max_pool_v1_2::get_examples_nhwc_relaxed_2());
}
TEST_F(ValidationTest, max_pool_v1_2_nhwc_relaxed_2) {
const Model model = max_pool_v1_2::createTestModel_nhwc_relaxed_2();
- const std::vector<Request> requests = createRequests(max_pool_v1_2::examples_nhwc_relaxed_2);
+ const std::vector<Request> requests = createRequests(max_pool_v1_2::get_examples_nhwc_relaxed_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -9749,12 +10314,12 @@
generated_tests::Execute(device,
max_pool_v1_2::createTestModel_nhwc_quant8_2,
max_pool_v1_2::is_ignored_nhwc_quant8_2,
- max_pool_v1_2::examples_nhwc_quant8_2);
+ max_pool_v1_2::get_examples_nhwc_quant8_2());
}
TEST_F(ValidationTest, max_pool_v1_2_nhwc_quant8_2) {
const Model model = max_pool_v1_2::createTestModel_nhwc_quant8_2();
- const std::vector<Request> requests = createRequests(max_pool_v1_2::examples_nhwc_quant8_2);
+ const std::vector<Request> requests = createRequests(max_pool_v1_2::get_examples_nhwc_quant8_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -9764,12 +10329,12 @@
generated_tests::Execute(device,
max_pool_v1_2::createTestModel_nchw_2,
max_pool_v1_2::is_ignored_nchw_2,
- max_pool_v1_2::examples_nchw_2);
+ max_pool_v1_2::get_examples_nchw_2());
}
TEST_F(ValidationTest, max_pool_v1_2_nchw_2) {
const Model model = max_pool_v1_2::createTestModel_nchw_2();
- const std::vector<Request> requests = createRequests(max_pool_v1_2::examples_nchw_2);
+ const std::vector<Request> requests = createRequests(max_pool_v1_2::get_examples_nchw_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -9779,12 +10344,12 @@
generated_tests::Execute(device,
max_pool_v1_2::createTestModel_nchw_relaxed_2,
max_pool_v1_2::is_ignored_nchw_relaxed_2,
- max_pool_v1_2::examples_nchw_relaxed_2);
+ max_pool_v1_2::get_examples_nchw_relaxed_2());
}
TEST_F(ValidationTest, max_pool_v1_2_nchw_relaxed_2) {
const Model model = max_pool_v1_2::createTestModel_nchw_relaxed_2();
- const std::vector<Request> requests = createRequests(max_pool_v1_2::examples_nchw_relaxed_2);
+ const std::vector<Request> requests = createRequests(max_pool_v1_2::get_examples_nchw_relaxed_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -9794,12 +10359,12 @@
generated_tests::Execute(device,
max_pool_v1_2::createTestModel_nchw_quant8_2,
max_pool_v1_2::is_ignored_nchw_quant8_2,
- max_pool_v1_2::examples_nchw_quant8_2);
+ max_pool_v1_2::get_examples_nchw_quant8_2());
}
TEST_F(ValidationTest, max_pool_v1_2_nchw_quant8_2) {
const Model model = max_pool_v1_2::createTestModel_nchw_quant8_2();
- const std::vector<Request> requests = createRequests(max_pool_v1_2::examples_nchw_quant8_2);
+ const std::vector<Request> requests = createRequests(max_pool_v1_2::get_examples_nchw_quant8_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -9809,12 +10374,12 @@
generated_tests::Execute(device,
max_pool_v1_2::createTestModel_nhwc_3,
max_pool_v1_2::is_ignored_nhwc_3,
- max_pool_v1_2::examples_nhwc_3);
+ max_pool_v1_2::get_examples_nhwc_3());
}
TEST_F(ValidationTest, max_pool_v1_2_nhwc_3) {
const Model model = max_pool_v1_2::createTestModel_nhwc_3();
- const std::vector<Request> requests = createRequests(max_pool_v1_2::examples_nhwc_3);
+ const std::vector<Request> requests = createRequests(max_pool_v1_2::get_examples_nhwc_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -9824,12 +10389,12 @@
generated_tests::Execute(device,
max_pool_v1_2::createTestModel_nhwc_relaxed_3,
max_pool_v1_2::is_ignored_nhwc_relaxed_3,
- max_pool_v1_2::examples_nhwc_relaxed_3);
+ max_pool_v1_2::get_examples_nhwc_relaxed_3());
}
TEST_F(ValidationTest, max_pool_v1_2_nhwc_relaxed_3) {
const Model model = max_pool_v1_2::createTestModel_nhwc_relaxed_3();
- const std::vector<Request> requests = createRequests(max_pool_v1_2::examples_nhwc_relaxed_3);
+ const std::vector<Request> requests = createRequests(max_pool_v1_2::get_examples_nhwc_relaxed_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -9839,12 +10404,12 @@
generated_tests::Execute(device,
max_pool_v1_2::createTestModel_nhwc_quant8_3,
max_pool_v1_2::is_ignored_nhwc_quant8_3,
- max_pool_v1_2::examples_nhwc_quant8_3);
+ max_pool_v1_2::get_examples_nhwc_quant8_3());
}
TEST_F(ValidationTest, max_pool_v1_2_nhwc_quant8_3) {
const Model model = max_pool_v1_2::createTestModel_nhwc_quant8_3();
- const std::vector<Request> requests = createRequests(max_pool_v1_2::examples_nhwc_quant8_3);
+ const std::vector<Request> requests = createRequests(max_pool_v1_2::get_examples_nhwc_quant8_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -9854,12 +10419,12 @@
generated_tests::Execute(device,
max_pool_v1_2::createTestModel_nchw_3,
max_pool_v1_2::is_ignored_nchw_3,
- max_pool_v1_2::examples_nchw_3);
+ max_pool_v1_2::get_examples_nchw_3());
}
TEST_F(ValidationTest, max_pool_v1_2_nchw_3) {
const Model model = max_pool_v1_2::createTestModel_nchw_3();
- const std::vector<Request> requests = createRequests(max_pool_v1_2::examples_nchw_3);
+ const std::vector<Request> requests = createRequests(max_pool_v1_2::get_examples_nchw_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -9869,12 +10434,12 @@
generated_tests::Execute(device,
max_pool_v1_2::createTestModel_nchw_relaxed_3,
max_pool_v1_2::is_ignored_nchw_relaxed_3,
- max_pool_v1_2::examples_nchw_relaxed_3);
+ max_pool_v1_2::get_examples_nchw_relaxed_3());
}
TEST_F(ValidationTest, max_pool_v1_2_nchw_relaxed_3) {
const Model model = max_pool_v1_2::createTestModel_nchw_relaxed_3();
- const std::vector<Request> requests = createRequests(max_pool_v1_2::examples_nchw_relaxed_3);
+ const std::vector<Request> requests = createRequests(max_pool_v1_2::get_examples_nchw_relaxed_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -9884,12 +10449,12 @@
generated_tests::Execute(device,
max_pool_v1_2::createTestModel_nchw_quant8_3,
max_pool_v1_2::is_ignored_nchw_quant8_3,
- max_pool_v1_2::examples_nchw_quant8_3);
+ max_pool_v1_2::get_examples_nchw_quant8_3());
}
TEST_F(ValidationTest, max_pool_v1_2_nchw_quant8_3) {
const Model model = max_pool_v1_2::createTestModel_nchw_quant8_3();
- const std::vector<Request> requests = createRequests(max_pool_v1_2::examples_nchw_quant8_3);
+ const std::vector<Request> requests = createRequests(max_pool_v1_2::get_examples_nchw_quant8_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -9899,12 +10464,12 @@
generated_tests::Execute(device,
max_pool_v1_2::createTestModel_nhwc_4,
max_pool_v1_2::is_ignored_nhwc_4,
- max_pool_v1_2::examples_nhwc_4);
+ max_pool_v1_2::get_examples_nhwc_4());
}
TEST_F(ValidationTest, max_pool_v1_2_nhwc_4) {
const Model model = max_pool_v1_2::createTestModel_nhwc_4();
- const std::vector<Request> requests = createRequests(max_pool_v1_2::examples_nhwc_4);
+ const std::vector<Request> requests = createRequests(max_pool_v1_2::get_examples_nhwc_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -9914,12 +10479,12 @@
generated_tests::Execute(device,
max_pool_v1_2::createTestModel_nhwc_relaxed_4,
max_pool_v1_2::is_ignored_nhwc_relaxed_4,
- max_pool_v1_2::examples_nhwc_relaxed_4);
+ max_pool_v1_2::get_examples_nhwc_relaxed_4());
}
TEST_F(ValidationTest, max_pool_v1_2_nhwc_relaxed_4) {
const Model model = max_pool_v1_2::createTestModel_nhwc_relaxed_4();
- const std::vector<Request> requests = createRequests(max_pool_v1_2::examples_nhwc_relaxed_4);
+ const std::vector<Request> requests = createRequests(max_pool_v1_2::get_examples_nhwc_relaxed_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -9929,12 +10494,12 @@
generated_tests::Execute(device,
max_pool_v1_2::createTestModel_nhwc_quant8_4,
max_pool_v1_2::is_ignored_nhwc_quant8_4,
- max_pool_v1_2::examples_nhwc_quant8_4);
+ max_pool_v1_2::get_examples_nhwc_quant8_4());
}
TEST_F(ValidationTest, max_pool_v1_2_nhwc_quant8_4) {
const Model model = max_pool_v1_2::createTestModel_nhwc_quant8_4();
- const std::vector<Request> requests = createRequests(max_pool_v1_2::examples_nhwc_quant8_4);
+ const std::vector<Request> requests = createRequests(max_pool_v1_2::get_examples_nhwc_quant8_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -9944,12 +10509,12 @@
generated_tests::Execute(device,
max_pool_v1_2::createTestModel_nchw_4,
max_pool_v1_2::is_ignored_nchw_4,
- max_pool_v1_2::examples_nchw_4);
+ max_pool_v1_2::get_examples_nchw_4());
}
TEST_F(ValidationTest, max_pool_v1_2_nchw_4) {
const Model model = max_pool_v1_2::createTestModel_nchw_4();
- const std::vector<Request> requests = createRequests(max_pool_v1_2::examples_nchw_4);
+ const std::vector<Request> requests = createRequests(max_pool_v1_2::get_examples_nchw_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -9959,12 +10524,12 @@
generated_tests::Execute(device,
max_pool_v1_2::createTestModel_nchw_relaxed_4,
max_pool_v1_2::is_ignored_nchw_relaxed_4,
- max_pool_v1_2::examples_nchw_relaxed_4);
+ max_pool_v1_2::get_examples_nchw_relaxed_4());
}
TEST_F(ValidationTest, max_pool_v1_2_nchw_relaxed_4) {
const Model model = max_pool_v1_2::createTestModel_nchw_relaxed_4();
- const std::vector<Request> requests = createRequests(max_pool_v1_2::examples_nchw_relaxed_4);
+ const std::vector<Request> requests = createRequests(max_pool_v1_2::get_examples_nchw_relaxed_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -9974,12 +10539,12 @@
generated_tests::Execute(device,
max_pool_v1_2::createTestModel_nchw_quant8_4,
max_pool_v1_2::is_ignored_nchw_quant8_4,
- max_pool_v1_2::examples_nchw_quant8_4);
+ max_pool_v1_2::get_examples_nchw_quant8_4());
}
TEST_F(ValidationTest, max_pool_v1_2_nchw_quant8_4) {
const Model model = max_pool_v1_2::createTestModel_nchw_quant8_4();
- const std::vector<Request> requests = createRequests(max_pool_v1_2::examples_nchw_quant8_4);
+ const std::vector<Request> requests = createRequests(max_pool_v1_2::get_examples_nchw_quant8_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -9997,12 +10562,12 @@
generated_tests::Execute(device,
maximum::createTestModel,
maximum::is_ignored,
- maximum::examples_simple);
+ maximum::get_examples_simple());
}
TEST_F(ValidationTest, maximum_simple) {
const Model model = maximum::createTestModel();
- const std::vector<Request> requests = createRequests(maximum::examples_simple);
+ const std::vector<Request> requests = createRequests(maximum::get_examples_simple());
validateModel(model);
validateRequests(model, requests);
}
@@ -10012,12 +10577,12 @@
generated_tests::Execute(device,
maximum::createTestModel_relaxed,
maximum::is_ignored_relaxed,
- maximum::examples_simple_relaxed);
+ maximum::get_examples_simple_relaxed());
}
TEST_F(ValidationTest, maximum_simple_relaxed) {
const Model model = maximum::createTestModel_relaxed();
- const std::vector<Request> requests = createRequests(maximum::examples_simple_relaxed);
+ const std::vector<Request> requests = createRequests(maximum::get_examples_simple_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -10027,12 +10592,12 @@
generated_tests::Execute(device,
maximum::createTestModel_quant8,
maximum::is_ignored_quant8,
- maximum::examples_simple_quant8);
+ maximum::get_examples_simple_quant8());
}
TEST_F(ValidationTest, maximum_simple_quant8) {
const Model model = maximum::createTestModel_quant8();
- const std::vector<Request> requests = createRequests(maximum::examples_simple_quant8);
+ const std::vector<Request> requests = createRequests(maximum::get_examples_simple_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -10042,12 +10607,12 @@
generated_tests::Execute(device,
maximum::createTestModel_int32,
maximum::is_ignored_int32,
- maximum::examples_simple_int32);
+ maximum::get_examples_simple_int32());
}
TEST_F(ValidationTest, maximum_simple_int32) {
const Model model = maximum::createTestModel_int32();
- const std::vector<Request> requests = createRequests(maximum::examples_simple_int32);
+ const std::vector<Request> requests = createRequests(maximum::get_examples_simple_int32());
validateModel(model);
validateRequests(model, requests);
}
@@ -10057,12 +10622,12 @@
generated_tests::Execute(device,
maximum::createTestModel_float16,
maximum::is_ignored_float16,
- maximum::examples_simple_float16);
+ maximum::get_examples_simple_float16());
}
TEST_F(ValidationTest, maximum_simple_float16) {
const Model model = maximum::createTestModel_float16();
- const std::vector<Request> requests = createRequests(maximum::examples_simple_float16);
+ const std::vector<Request> requests = createRequests(maximum::get_examples_simple_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -10072,12 +10637,12 @@
generated_tests::Execute(device,
maximum::createTestModel_2,
maximum::is_ignored_2,
- maximum::examples_broadcast);
+ maximum::get_examples_broadcast());
}
TEST_F(ValidationTest, maximum_broadcast) {
const Model model = maximum::createTestModel_2();
- const std::vector<Request> requests = createRequests(maximum::examples_broadcast);
+ const std::vector<Request> requests = createRequests(maximum::get_examples_broadcast());
validateModel(model);
validateRequests(model, requests);
}
@@ -10087,12 +10652,12 @@
generated_tests::Execute(device,
maximum::createTestModel_relaxed_2,
maximum::is_ignored_relaxed_2,
- maximum::examples_broadcast_relaxed);
+ maximum::get_examples_broadcast_relaxed());
}
TEST_F(ValidationTest, maximum_broadcast_relaxed) {
const Model model = maximum::createTestModel_relaxed_2();
- const std::vector<Request> requests = createRequests(maximum::examples_broadcast_relaxed);
+ const std::vector<Request> requests = createRequests(maximum::get_examples_broadcast_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -10102,12 +10667,12 @@
generated_tests::Execute(device,
maximum::createTestModel_quant8_2,
maximum::is_ignored_quant8_2,
- maximum::examples_broadcast_quant8);
+ maximum::get_examples_broadcast_quant8());
}
TEST_F(ValidationTest, maximum_broadcast_quant8) {
const Model model = maximum::createTestModel_quant8_2();
- const std::vector<Request> requests = createRequests(maximum::examples_broadcast_quant8);
+ const std::vector<Request> requests = createRequests(maximum::get_examples_broadcast_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -10117,12 +10682,12 @@
generated_tests::Execute(device,
maximum::createTestModel_int32_2,
maximum::is_ignored_int32_2,
- maximum::examples_broadcast_int32);
+ maximum::get_examples_broadcast_int32());
}
TEST_F(ValidationTest, maximum_broadcast_int32) {
const Model model = maximum::createTestModel_int32_2();
- const std::vector<Request> requests = createRequests(maximum::examples_broadcast_int32);
+ const std::vector<Request> requests = createRequests(maximum::get_examples_broadcast_int32());
validateModel(model);
validateRequests(model, requests);
}
@@ -10132,12 +10697,12 @@
generated_tests::Execute(device,
maximum::createTestModel_float16_2,
maximum::is_ignored_float16_2,
- maximum::examples_broadcast_float16);
+ maximum::get_examples_broadcast_float16());
}
TEST_F(ValidationTest, maximum_broadcast_float16) {
const Model model = maximum::createTestModel_float16_2();
- const std::vector<Request> requests = createRequests(maximum::examples_broadcast_float16);
+ const std::vector<Request> requests = createRequests(maximum::get_examples_broadcast_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -10155,12 +10720,12 @@
generated_tests::Execute(device,
minimum::createTestModel,
minimum::is_ignored,
- minimum::examples_simple);
+ minimum::get_examples_simple());
}
TEST_F(ValidationTest, minimum_simple) {
const Model model = minimum::createTestModel();
- const std::vector<Request> requests = createRequests(minimum::examples_simple);
+ const std::vector<Request> requests = createRequests(minimum::get_examples_simple());
validateModel(model);
validateRequests(model, requests);
}
@@ -10170,12 +10735,12 @@
generated_tests::Execute(device,
minimum::createTestModel_relaxed,
minimum::is_ignored_relaxed,
- minimum::examples_simple_relaxed);
+ minimum::get_examples_simple_relaxed());
}
TEST_F(ValidationTest, minimum_simple_relaxed) {
const Model model = minimum::createTestModel_relaxed();
- const std::vector<Request> requests = createRequests(minimum::examples_simple_relaxed);
+ const std::vector<Request> requests = createRequests(minimum::get_examples_simple_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -10185,12 +10750,12 @@
generated_tests::Execute(device,
minimum::createTestModel_quant8,
minimum::is_ignored_quant8,
- minimum::examples_simple_quant8);
+ minimum::get_examples_simple_quant8());
}
TEST_F(ValidationTest, minimum_simple_quant8) {
const Model model = minimum::createTestModel_quant8();
- const std::vector<Request> requests = createRequests(minimum::examples_simple_quant8);
+ const std::vector<Request> requests = createRequests(minimum::get_examples_simple_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -10200,12 +10765,12 @@
generated_tests::Execute(device,
minimum::createTestModel_int32,
minimum::is_ignored_int32,
- minimum::examples_simple_int32);
+ minimum::get_examples_simple_int32());
}
TEST_F(ValidationTest, minimum_simple_int32) {
const Model model = minimum::createTestModel_int32();
- const std::vector<Request> requests = createRequests(minimum::examples_simple_int32);
+ const std::vector<Request> requests = createRequests(minimum::get_examples_simple_int32());
validateModel(model);
validateRequests(model, requests);
}
@@ -10215,12 +10780,12 @@
generated_tests::Execute(device,
minimum::createTestModel_float16,
minimum::is_ignored_float16,
- minimum::examples_simple_float16);
+ minimum::get_examples_simple_float16());
}
TEST_F(ValidationTest, minimum_simple_float16) {
const Model model = minimum::createTestModel_float16();
- const std::vector<Request> requests = createRequests(minimum::examples_simple_float16);
+ const std::vector<Request> requests = createRequests(minimum::get_examples_simple_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -10230,12 +10795,12 @@
generated_tests::Execute(device,
minimum::createTestModel_2,
minimum::is_ignored_2,
- minimum::examples_broadcast);
+ minimum::get_examples_broadcast());
}
TEST_F(ValidationTest, minimum_broadcast) {
const Model model = minimum::createTestModel_2();
- const std::vector<Request> requests = createRequests(minimum::examples_broadcast);
+ const std::vector<Request> requests = createRequests(minimum::get_examples_broadcast());
validateModel(model);
validateRequests(model, requests);
}
@@ -10245,12 +10810,12 @@
generated_tests::Execute(device,
minimum::createTestModel_relaxed_2,
minimum::is_ignored_relaxed_2,
- minimum::examples_broadcast_relaxed);
+ minimum::get_examples_broadcast_relaxed());
}
TEST_F(ValidationTest, minimum_broadcast_relaxed) {
const Model model = minimum::createTestModel_relaxed_2();
- const std::vector<Request> requests = createRequests(minimum::examples_broadcast_relaxed);
+ const std::vector<Request> requests = createRequests(minimum::get_examples_broadcast_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -10260,12 +10825,12 @@
generated_tests::Execute(device,
minimum::createTestModel_quant8_2,
minimum::is_ignored_quant8_2,
- minimum::examples_broadcast_quant8);
+ minimum::get_examples_broadcast_quant8());
}
TEST_F(ValidationTest, minimum_broadcast_quant8) {
const Model model = minimum::createTestModel_quant8_2();
- const std::vector<Request> requests = createRequests(minimum::examples_broadcast_quant8);
+ const std::vector<Request> requests = createRequests(minimum::get_examples_broadcast_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -10275,12 +10840,12 @@
generated_tests::Execute(device,
minimum::createTestModel_int32_2,
minimum::is_ignored_int32_2,
- minimum::examples_broadcast_int32);
+ minimum::get_examples_broadcast_int32());
}
TEST_F(ValidationTest, minimum_broadcast_int32) {
const Model model = minimum::createTestModel_int32_2();
- const std::vector<Request> requests = createRequests(minimum::examples_broadcast_int32);
+ const std::vector<Request> requests = createRequests(minimum::get_examples_broadcast_int32());
validateModel(model);
validateRequests(model, requests);
}
@@ -10290,12 +10855,12 @@
generated_tests::Execute(device,
minimum::createTestModel_float16_2,
minimum::is_ignored_float16_2,
- minimum::examples_broadcast_float16);
+ minimum::get_examples_broadcast_float16());
}
TEST_F(ValidationTest, minimum_broadcast_float16) {
const Model model = minimum::createTestModel_float16_2();
- const std::vector<Request> requests = createRequests(minimum::examples_broadcast_float16);
+ const std::vector<Request> requests = createRequests(minimum::get_examples_broadcast_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -10313,12 +10878,12 @@
generated_tests::Execute(device,
mul_broadcast_float16::createTestModel,
mul_broadcast_float16::is_ignored,
- mul_broadcast_float16::examples);
+ mul_broadcast_float16::get_examples());
}
TEST_F(ValidationTest, mul_broadcast_float16) {
const Model model = mul_broadcast_float16::createTestModel();
- const std::vector<Request> requests = createRequests(mul_broadcast_float16::examples);
+ const std::vector<Request> requests = createRequests(mul_broadcast_float16::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -10336,12 +10901,35 @@
generated_tests::Execute(device,
mul_float16::createTestModel,
mul_float16::is_ignored,
- mul_float16::examples);
+ mul_float16::get_examples());
}
TEST_F(ValidationTest, mul_float16) {
const Model model = mul_float16::createTestModel();
- const std::vector<Request> requests = createRequests(mul_float16::examples);
+ const std::vector<Request> requests = createRequests(mul_float16::get_examples());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+// Generated from: pad_float16.mod.py.
+namespace pad_float16 {
+// Generated pad_float16 test
+#include "examples/pad_float16.example.cpp"
+// Generated model constructor
+#include "vts_models/pad_float16.model.cpp"
+} // namespace pad_float16
+
+TEST_F(NeuralnetworksHidlTest, pad_float16) {
+ generated_tests::Execute(device,
+ pad_float16::createTestModel,
+ pad_float16::is_ignored,
+ pad_float16::get_examples());
+}
+
+TEST_F(ValidationTest, pad_float16) {
+ const Model model = pad_float16::createTestModel();
+ const std::vector<Request> requests = createRequests(pad_float16::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -10359,12 +10947,27 @@
generated_tests::Execute(device,
pad_v2_1_float::createTestModel,
pad_v2_1_float::is_ignored,
- pad_v2_1_float::examples);
+ pad_v2_1_float::get_examples());
}
TEST_F(ValidationTest, pad_v2_1_float) {
const Model model = pad_v2_1_float::createTestModel();
- const std::vector<Request> requests = createRequests(pad_v2_1_float::examples);
+ const std::vector<Request> requests = createRequests(pad_v2_1_float::get_examples());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, pad_v2_1_float_float16) {
+ generated_tests::Execute(device,
+ pad_v2_1_float::createTestModel_float16,
+ pad_v2_1_float::is_ignored_float16,
+ pad_v2_1_float::get_examples_float16());
+}
+
+TEST_F(ValidationTest, pad_v2_1_float_float16) {
+ const Model model = pad_v2_1_float::createTestModel_float16();
+ const std::vector<Request> requests = createRequests(pad_v2_1_float::get_examples_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -10382,12 +10985,12 @@
generated_tests::Execute(device,
pad_v2_1_float_relaxed::createTestModel,
pad_v2_1_float_relaxed::is_ignored,
- pad_v2_1_float_relaxed::examples);
+ pad_v2_1_float_relaxed::get_examples());
}
TEST_F(ValidationTest, pad_v2_1_float_relaxed) {
const Model model = pad_v2_1_float_relaxed::createTestModel();
- const std::vector<Request> requests = createRequests(pad_v2_1_float_relaxed::examples);
+ const std::vector<Request> requests = createRequests(pad_v2_1_float_relaxed::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -10405,12 +11008,12 @@
generated_tests::Execute(device,
pad_v2_1_quant8::createTestModel,
pad_v2_1_quant8::is_ignored,
- pad_v2_1_quant8::examples);
+ pad_v2_1_quant8::get_examples());
}
TEST_F(ValidationTest, pad_v2_1_quant8) {
const Model model = pad_v2_1_quant8::createTestModel();
- const std::vector<Request> requests = createRequests(pad_v2_1_quant8::examples);
+ const std::vector<Request> requests = createRequests(pad_v2_1_quant8::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -10428,12 +11031,12 @@
generated_tests::Execute(device,
pow::createTestModel,
pow::is_ignored,
- pow::examples);
+ pow::get_examples());
}
TEST_F(ValidationTest, pow) {
const Model model = pow::createTestModel();
- const std::vector<Request> requests = createRequests(pow::examples);
+ const std::vector<Request> requests = createRequests(pow::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -10443,12 +11046,12 @@
generated_tests::Execute(device,
pow::createTestModel_relaxed,
pow::is_ignored_relaxed,
- pow::examples_relaxed);
+ pow::get_examples_relaxed());
}
TEST_F(ValidationTest, pow_relaxed) {
const Model model = pow::createTestModel_relaxed();
- const std::vector<Request> requests = createRequests(pow::examples_relaxed);
+ const std::vector<Request> requests = createRequests(pow::get_examples_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -10458,12 +11061,12 @@
generated_tests::Execute(device,
pow::createTestModel_2,
pow::is_ignored_2,
- pow::examples_2);
+ pow::get_examples_2());
}
TEST_F(ValidationTest, pow_2) {
const Model model = pow::createTestModel_2();
- const std::vector<Request> requests = createRequests(pow::examples_2);
+ const std::vector<Request> requests = createRequests(pow::get_examples_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -10473,12 +11076,12 @@
generated_tests::Execute(device,
pow::createTestModel_relaxed_2,
pow::is_ignored_relaxed_2,
- pow::examples_relaxed_2);
+ pow::get_examples_relaxed_2());
}
TEST_F(ValidationTest, pow_relaxed_2) {
const Model model = pow::createTestModel_relaxed_2();
- const std::vector<Request> requests = createRequests(pow::examples_relaxed_2);
+ const std::vector<Request> requests = createRequests(pow::get_examples_relaxed_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -10488,12 +11091,12 @@
generated_tests::Execute(device,
pow::createTestModel_3,
pow::is_ignored_3,
- pow::examples_3);
+ pow::get_examples_3());
}
TEST_F(ValidationTest, pow_3) {
const Model model = pow::createTestModel_3();
- const std::vector<Request> requests = createRequests(pow::examples_3);
+ const std::vector<Request> requests = createRequests(pow::get_examples_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -10503,12 +11106,12 @@
generated_tests::Execute(device,
pow::createTestModel_relaxed_3,
pow::is_ignored_relaxed_3,
- pow::examples_relaxed_3);
+ pow::get_examples_relaxed_3());
}
TEST_F(ValidationTest, pow_relaxed_3) {
const Model model = pow::createTestModel_relaxed_3();
- const std::vector<Request> requests = createRequests(pow::examples_relaxed_3);
+ const std::vector<Request> requests = createRequests(pow::get_examples_relaxed_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -10526,12 +11129,12 @@
generated_tests::Execute(device,
prelu::createTestModel,
prelu::is_ignored,
- prelu::examples);
+ prelu::get_examples());
}
TEST_F(ValidationTest, prelu) {
const Model model = prelu::createTestModel();
- const std::vector<Request> requests = createRequests(prelu::examples);
+ const std::vector<Request> requests = createRequests(prelu::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -10541,12 +11144,12 @@
generated_tests::Execute(device,
prelu::createTestModel_relaxed,
prelu::is_ignored_relaxed,
- prelu::examples_relaxed);
+ prelu::get_examples_relaxed());
}
TEST_F(ValidationTest, prelu_relaxed) {
const Model model = prelu::createTestModel_relaxed();
- const std::vector<Request> requests = createRequests(prelu::examples_relaxed);
+ const std::vector<Request> requests = createRequests(prelu::get_examples_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -10556,12 +11159,12 @@
generated_tests::Execute(device,
prelu::createTestModel_quant8,
prelu::is_ignored_quant8,
- prelu::examples_quant8);
+ prelu::get_examples_quant8());
}
TEST_F(ValidationTest, prelu_quant8) {
const Model model = prelu::createTestModel_quant8();
- const std::vector<Request> requests = createRequests(prelu::examples_quant8);
+ const std::vector<Request> requests = createRequests(prelu::get_examples_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -10571,12 +11174,12 @@
generated_tests::Execute(device,
prelu::createTestModel_weight_as_input,
prelu::is_ignored_weight_as_input,
- prelu::examples_weight_as_input);
+ prelu::get_examples_weight_as_input());
}
TEST_F(ValidationTest, prelu_weight_as_input) {
const Model model = prelu::createTestModel_weight_as_input();
- const std::vector<Request> requests = createRequests(prelu::examples_weight_as_input);
+ const std::vector<Request> requests = createRequests(prelu::get_examples_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -10586,12 +11189,12 @@
generated_tests::Execute(device,
prelu::createTestModel_weight_as_input_relaxed,
prelu::is_ignored_weight_as_input_relaxed,
- prelu::examples_weight_as_input_relaxed);
+ prelu::get_examples_weight_as_input_relaxed());
}
TEST_F(ValidationTest, prelu_weight_as_input_relaxed) {
const Model model = prelu::createTestModel_weight_as_input_relaxed();
- const std::vector<Request> requests = createRequests(prelu::examples_weight_as_input_relaxed);
+ const std::vector<Request> requests = createRequests(prelu::get_examples_weight_as_input_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -10601,12 +11204,12 @@
generated_tests::Execute(device,
prelu::createTestModel_weight_as_input_quant8,
prelu::is_ignored_weight_as_input_quant8,
- prelu::examples_weight_as_input_quant8);
+ prelu::get_examples_weight_as_input_quant8());
}
TEST_F(ValidationTest, prelu_weight_as_input_quant8) {
const Model model = prelu::createTestModel_weight_as_input_quant8();
- const std::vector<Request> requests = createRequests(prelu::examples_weight_as_input_quant8);
+ const std::vector<Request> requests = createRequests(prelu::get_examples_weight_as_input_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -10624,12 +11227,12 @@
generated_tests::Execute(device,
quantize::createTestModel_quant8,
quantize::is_ignored_quant8,
- quantize::examples_quant8);
+ quantize::get_examples_quant8());
}
TEST_F(ValidationTest, quantize_quant8) {
const Model model = quantize::createTestModel_quant8();
- const std::vector<Request> requests = createRequests(quantize::examples_quant8);
+ const std::vector<Request> requests = createRequests(quantize::get_examples_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -10639,12 +11242,12 @@
generated_tests::Execute(device,
quantize::createTestModel_quant8_2,
quantize::is_ignored_quant8_2,
- quantize::examples_quant8_2);
+ quantize::get_examples_quant8_2());
}
TEST_F(ValidationTest, quantize_quant8_2) {
const Model model = quantize::createTestModel_quant8_2();
- const std::vector<Request> requests = createRequests(quantize::examples_quant8_2);
+ const std::vector<Request> requests = createRequests(quantize::get_examples_quant8_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -10654,12 +11257,12 @@
generated_tests::Execute(device,
quantize::createTestModel_quant8_3,
quantize::is_ignored_quant8_3,
- quantize::examples_quant8_3);
+ quantize::get_examples_quant8_3());
}
TEST_F(ValidationTest, quantize_quant8_3) {
const Model model = quantize::createTestModel_quant8_3();
- const std::vector<Request> requests = createRequests(quantize::examples_quant8_3);
+ const std::vector<Request> requests = createRequests(quantize::get_examples_quant8_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -10669,12 +11272,12 @@
generated_tests::Execute(device,
quantize::createTestModel_quant8_4,
quantize::is_ignored_quant8_4,
- quantize::examples_quant8_4);
+ quantize::get_examples_quant8_4());
}
TEST_F(ValidationTest, quantize_quant8_4) {
const Model model = quantize::createTestModel_quant8_4();
- const std::vector<Request> requests = createRequests(quantize::examples_quant8_4);
+ const std::vector<Request> requests = createRequests(quantize::get_examples_quant8_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -10692,12 +11295,12 @@
generated_tests::Execute(device,
quantized_lstm::createTestModel,
quantized_lstm::is_ignored,
- quantized_lstm::examples);
+ quantized_lstm::get_examples());
}
TEST_F(ValidationTest, quantized_lstm) {
const Model model = quantized_lstm::createTestModel();
- const std::vector<Request> requests = createRequests(quantized_lstm::examples);
+ const std::vector<Request> requests = createRequests(quantized_lstm::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -10715,12 +11318,12 @@
generated_tests::Execute(device,
random_multinomial::createTestModel,
random_multinomial::is_ignored,
- random_multinomial::examples);
+ random_multinomial::get_examples());
}
TEST_F(ValidationTest, random_multinomial) {
const Model model = random_multinomial::createTestModel();
- const std::vector<Request> requests = createRequests(random_multinomial::examples);
+ const std::vector<Request> requests = createRequests(random_multinomial::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -10738,12 +11341,12 @@
generated_tests::Execute(device,
relu1_float16_1::createTestModel,
relu1_float16_1::is_ignored,
- relu1_float16_1::examples);
+ relu1_float16_1::get_examples());
}
TEST_F(ValidationTest, relu1_float16_1) {
const Model model = relu1_float16_1::createTestModel();
- const std::vector<Request> requests = createRequests(relu1_float16_1::examples);
+ const std::vector<Request> requests = createRequests(relu1_float16_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -10761,12 +11364,12 @@
generated_tests::Execute(device,
relu1_float16_2::createTestModel,
relu1_float16_2::is_ignored,
- relu1_float16_2::examples);
+ relu1_float16_2::get_examples());
}
TEST_F(ValidationTest, relu1_float16_2) {
const Model model = relu1_float16_2::createTestModel();
- const std::vector<Request> requests = createRequests(relu1_float16_2::examples);
+ const std::vector<Request> requests = createRequests(relu1_float16_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -10784,12 +11387,12 @@
generated_tests::Execute(device,
relu6_float16_1::createTestModel,
relu6_float16_1::is_ignored,
- relu6_float16_1::examples);
+ relu6_float16_1::get_examples());
}
TEST_F(ValidationTest, relu6_float16_1) {
const Model model = relu6_float16_1::createTestModel();
- const std::vector<Request> requests = createRequests(relu6_float16_1::examples);
+ const std::vector<Request> requests = createRequests(relu6_float16_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -10807,12 +11410,12 @@
generated_tests::Execute(device,
relu6_float16_2::createTestModel,
relu6_float16_2::is_ignored,
- relu6_float16_2::examples);
+ relu6_float16_2::get_examples());
}
TEST_F(ValidationTest, relu6_float16_2) {
const Model model = relu6_float16_2::createTestModel();
- const std::vector<Request> requests = createRequests(relu6_float16_2::examples);
+ const std::vector<Request> requests = createRequests(relu6_float16_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -10830,12 +11433,12 @@
generated_tests::Execute(device,
relu_float16_1::createTestModel,
relu_float16_1::is_ignored,
- relu_float16_1::examples);
+ relu_float16_1::get_examples());
}
TEST_F(ValidationTest, relu_float16_1) {
const Model model = relu_float16_1::createTestModel();
- const std::vector<Request> requests = createRequests(relu_float16_1::examples);
+ const std::vector<Request> requests = createRequests(relu_float16_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -10853,12 +11456,35 @@
generated_tests::Execute(device,
relu_float16_2::createTestModel,
relu_float16_2::is_ignored,
- relu_float16_2::examples);
+ relu_float16_2::get_examples());
}
TEST_F(ValidationTest, relu_float16_2) {
const Model model = relu_float16_2::createTestModel();
- const std::vector<Request> requests = createRequests(relu_float16_2::examples);
+ const std::vector<Request> requests = createRequests(relu_float16_2::get_examples());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+// Generated from: reshape_float16.mod.py.
+namespace reshape_float16 {
+// Generated reshape_float16 test
+#include "examples/reshape_float16.example.cpp"
+// Generated model constructor
+#include "vts_models/reshape_float16.model.cpp"
+} // namespace reshape_float16
+
+TEST_F(NeuralnetworksHidlTest, reshape_float16) {
+ generated_tests::Execute(device,
+ reshape_float16::createTestModel,
+ reshape_float16::is_ignored,
+ reshape_float16::get_examples());
+}
+
+TEST_F(ValidationTest, reshape_float16) {
+ const Model model = reshape_float16::createTestModel();
+ const std::vector<Request> requests = createRequests(reshape_float16::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -10876,12 +11502,12 @@
generated_tests::Execute(device,
resize_bilinear_v1_2::createTestModel_nhwc,
resize_bilinear_v1_2::is_ignored_nhwc,
- resize_bilinear_v1_2::examples_nhwc);
+ resize_bilinear_v1_2::get_examples_nhwc());
}
TEST_F(ValidationTest, resize_bilinear_v1_2_nhwc) {
const Model model = resize_bilinear_v1_2::createTestModel_nhwc();
- const std::vector<Request> requests = createRequests(resize_bilinear_v1_2::examples_nhwc);
+ const std::vector<Request> requests = createRequests(resize_bilinear_v1_2::get_examples_nhwc());
validateModel(model);
validateRequests(model, requests);
}
@@ -10891,12 +11517,27 @@
generated_tests::Execute(device,
resize_bilinear_v1_2::createTestModel_nhwc_relaxed,
resize_bilinear_v1_2::is_ignored_nhwc_relaxed,
- resize_bilinear_v1_2::examples_nhwc_relaxed);
+ resize_bilinear_v1_2::get_examples_nhwc_relaxed());
}
TEST_F(ValidationTest, resize_bilinear_v1_2_nhwc_relaxed) {
const Model model = resize_bilinear_v1_2::createTestModel_nhwc_relaxed();
- const std::vector<Request> requests = createRequests(resize_bilinear_v1_2::examples_nhwc_relaxed);
+ const std::vector<Request> requests = createRequests(resize_bilinear_v1_2::get_examples_nhwc_relaxed());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, resize_bilinear_v1_2_nhwc_float16) {
+ generated_tests::Execute(device,
+ resize_bilinear_v1_2::createTestModel_nhwc_float16,
+ resize_bilinear_v1_2::is_ignored_nhwc_float16,
+ resize_bilinear_v1_2::get_examples_nhwc_float16());
+}
+
+TEST_F(ValidationTest, resize_bilinear_v1_2_nhwc_float16) {
+ const Model model = resize_bilinear_v1_2::createTestModel_nhwc_float16();
+ const std::vector<Request> requests = createRequests(resize_bilinear_v1_2::get_examples_nhwc_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -10906,12 +11547,12 @@
generated_tests::Execute(device,
resize_bilinear_v1_2::createTestModel_nchw,
resize_bilinear_v1_2::is_ignored_nchw,
- resize_bilinear_v1_2::examples_nchw);
+ resize_bilinear_v1_2::get_examples_nchw());
}
TEST_F(ValidationTest, resize_bilinear_v1_2_nchw) {
const Model model = resize_bilinear_v1_2::createTestModel_nchw();
- const std::vector<Request> requests = createRequests(resize_bilinear_v1_2::examples_nchw);
+ const std::vector<Request> requests = createRequests(resize_bilinear_v1_2::get_examples_nchw());
validateModel(model);
validateRequests(model, requests);
}
@@ -10921,12 +11562,27 @@
generated_tests::Execute(device,
resize_bilinear_v1_2::createTestModel_nchw_relaxed,
resize_bilinear_v1_2::is_ignored_nchw_relaxed,
- resize_bilinear_v1_2::examples_nchw_relaxed);
+ resize_bilinear_v1_2::get_examples_nchw_relaxed());
}
TEST_F(ValidationTest, resize_bilinear_v1_2_nchw_relaxed) {
const Model model = resize_bilinear_v1_2::createTestModel_nchw_relaxed();
- const std::vector<Request> requests = createRequests(resize_bilinear_v1_2::examples_nchw_relaxed);
+ const std::vector<Request> requests = createRequests(resize_bilinear_v1_2::get_examples_nchw_relaxed());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, resize_bilinear_v1_2_nchw_float16) {
+ generated_tests::Execute(device,
+ resize_bilinear_v1_2::createTestModel_nchw_float16,
+ resize_bilinear_v1_2::is_ignored_nchw_float16,
+ resize_bilinear_v1_2::get_examples_nchw_float16());
+}
+
+TEST_F(ValidationTest, resize_bilinear_v1_2_nchw_float16) {
+ const Model model = resize_bilinear_v1_2::createTestModel_nchw_float16();
+ const std::vector<Request> requests = createRequests(resize_bilinear_v1_2::get_examples_nchw_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -10936,12 +11592,12 @@
generated_tests::Execute(device,
resize_bilinear_v1_2::createTestModel_nhwc_2,
resize_bilinear_v1_2::is_ignored_nhwc_2,
- resize_bilinear_v1_2::examples_nhwc_2);
+ resize_bilinear_v1_2::get_examples_nhwc_2());
}
TEST_F(ValidationTest, resize_bilinear_v1_2_nhwc_2) {
const Model model = resize_bilinear_v1_2::createTestModel_nhwc_2();
- const std::vector<Request> requests = createRequests(resize_bilinear_v1_2::examples_nhwc_2);
+ const std::vector<Request> requests = createRequests(resize_bilinear_v1_2::get_examples_nhwc_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -10951,12 +11607,27 @@
generated_tests::Execute(device,
resize_bilinear_v1_2::createTestModel_nhwc_relaxed_2,
resize_bilinear_v1_2::is_ignored_nhwc_relaxed_2,
- resize_bilinear_v1_2::examples_nhwc_relaxed_2);
+ resize_bilinear_v1_2::get_examples_nhwc_relaxed_2());
}
TEST_F(ValidationTest, resize_bilinear_v1_2_nhwc_relaxed_2) {
const Model model = resize_bilinear_v1_2::createTestModel_nhwc_relaxed_2();
- const std::vector<Request> requests = createRequests(resize_bilinear_v1_2::examples_nhwc_relaxed_2);
+ const std::vector<Request> requests = createRequests(resize_bilinear_v1_2::get_examples_nhwc_relaxed_2());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, resize_bilinear_v1_2_nhwc_float16_2) {
+ generated_tests::Execute(device,
+ resize_bilinear_v1_2::createTestModel_nhwc_float16_2,
+ resize_bilinear_v1_2::is_ignored_nhwc_float16_2,
+ resize_bilinear_v1_2::get_examples_nhwc_float16_2());
+}
+
+TEST_F(ValidationTest, resize_bilinear_v1_2_nhwc_float16_2) {
+ const Model model = resize_bilinear_v1_2::createTestModel_nhwc_float16_2();
+ const std::vector<Request> requests = createRequests(resize_bilinear_v1_2::get_examples_nhwc_float16_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -10966,12 +11637,12 @@
generated_tests::Execute(device,
resize_bilinear_v1_2::createTestModel_nchw_2,
resize_bilinear_v1_2::is_ignored_nchw_2,
- resize_bilinear_v1_2::examples_nchw_2);
+ resize_bilinear_v1_2::get_examples_nchw_2());
}
TEST_F(ValidationTest, resize_bilinear_v1_2_nchw_2) {
const Model model = resize_bilinear_v1_2::createTestModel_nchw_2();
- const std::vector<Request> requests = createRequests(resize_bilinear_v1_2::examples_nchw_2);
+ const std::vector<Request> requests = createRequests(resize_bilinear_v1_2::get_examples_nchw_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -10981,12 +11652,27 @@
generated_tests::Execute(device,
resize_bilinear_v1_2::createTestModel_nchw_relaxed_2,
resize_bilinear_v1_2::is_ignored_nchw_relaxed_2,
- resize_bilinear_v1_2::examples_nchw_relaxed_2);
+ resize_bilinear_v1_2::get_examples_nchw_relaxed_2());
}
TEST_F(ValidationTest, resize_bilinear_v1_2_nchw_relaxed_2) {
const Model model = resize_bilinear_v1_2::createTestModel_nchw_relaxed_2();
- const std::vector<Request> requests = createRequests(resize_bilinear_v1_2::examples_nchw_relaxed_2);
+ const std::vector<Request> requests = createRequests(resize_bilinear_v1_2::get_examples_nchw_relaxed_2());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, resize_bilinear_v1_2_nchw_float16_2) {
+ generated_tests::Execute(device,
+ resize_bilinear_v1_2::createTestModel_nchw_float16_2,
+ resize_bilinear_v1_2::is_ignored_nchw_float16_2,
+ resize_bilinear_v1_2::get_examples_nchw_float16_2());
+}
+
+TEST_F(ValidationTest, resize_bilinear_v1_2_nchw_float16_2) {
+ const Model model = resize_bilinear_v1_2::createTestModel_nchw_float16_2();
+ const std::vector<Request> requests = createRequests(resize_bilinear_v1_2::get_examples_nchw_float16_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -11004,12 +11690,12 @@
generated_tests::Execute(device,
roi_align::createTestModel_nhwc,
roi_align::is_ignored_nhwc,
- roi_align::examples_nhwc);
+ roi_align::get_examples_nhwc());
}
TEST_F(ValidationTest, roi_align_nhwc) {
const Model model = roi_align::createTestModel_nhwc();
- const std::vector<Request> requests = createRequests(roi_align::examples_nhwc);
+ const std::vector<Request> requests = createRequests(roi_align::get_examples_nhwc());
validateModel(model);
validateRequests(model, requests);
}
@@ -11019,12 +11705,12 @@
generated_tests::Execute(device,
roi_align::createTestModel_nhwc_relaxed,
roi_align::is_ignored_nhwc_relaxed,
- roi_align::examples_nhwc_relaxed);
+ roi_align::get_examples_nhwc_relaxed());
}
TEST_F(ValidationTest, roi_align_nhwc_relaxed) {
const Model model = roi_align::createTestModel_nhwc_relaxed();
- const std::vector<Request> requests = createRequests(roi_align::examples_nhwc_relaxed);
+ const std::vector<Request> requests = createRequests(roi_align::get_examples_nhwc_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -11034,12 +11720,12 @@
generated_tests::Execute(device,
roi_align::createTestModel_nhwc_quant8,
roi_align::is_ignored_nhwc_quant8,
- roi_align::examples_nhwc_quant8);
+ roi_align::get_examples_nhwc_quant8());
}
TEST_F(ValidationTest, roi_align_nhwc_quant8) {
const Model model = roi_align::createTestModel_nhwc_quant8();
- const std::vector<Request> requests = createRequests(roi_align::examples_nhwc_quant8);
+ const std::vector<Request> requests = createRequests(roi_align::get_examples_nhwc_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -11049,12 +11735,12 @@
generated_tests::Execute(device,
roi_align::createTestModel_nchw,
roi_align::is_ignored_nchw,
- roi_align::examples_nchw);
+ roi_align::get_examples_nchw());
}
TEST_F(ValidationTest, roi_align_nchw) {
const Model model = roi_align::createTestModel_nchw();
- const std::vector<Request> requests = createRequests(roi_align::examples_nchw);
+ const std::vector<Request> requests = createRequests(roi_align::get_examples_nchw());
validateModel(model);
validateRequests(model, requests);
}
@@ -11064,12 +11750,12 @@
generated_tests::Execute(device,
roi_align::createTestModel_nchw_relaxed,
roi_align::is_ignored_nchw_relaxed,
- roi_align::examples_nchw_relaxed);
+ roi_align::get_examples_nchw_relaxed());
}
TEST_F(ValidationTest, roi_align_nchw_relaxed) {
const Model model = roi_align::createTestModel_nchw_relaxed();
- const std::vector<Request> requests = createRequests(roi_align::examples_nchw_relaxed);
+ const std::vector<Request> requests = createRequests(roi_align::get_examples_nchw_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -11079,12 +11765,12 @@
generated_tests::Execute(device,
roi_align::createTestModel_nchw_quant8,
roi_align::is_ignored_nchw_quant8,
- roi_align::examples_nchw_quant8);
+ roi_align::get_examples_nchw_quant8());
}
TEST_F(ValidationTest, roi_align_nchw_quant8) {
const Model model = roi_align::createTestModel_nchw_quant8();
- const std::vector<Request> requests = createRequests(roi_align::examples_nchw_quant8);
+ const std::vector<Request> requests = createRequests(roi_align::get_examples_nchw_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -11094,12 +11780,12 @@
generated_tests::Execute(device,
roi_align::createTestModel_nhwc_2,
roi_align::is_ignored_nhwc_2,
- roi_align::examples_nhwc_2);
+ roi_align::get_examples_nhwc_2());
}
TEST_F(ValidationTest, roi_align_nhwc_2) {
const Model model = roi_align::createTestModel_nhwc_2();
- const std::vector<Request> requests = createRequests(roi_align::examples_nhwc_2);
+ const std::vector<Request> requests = createRequests(roi_align::get_examples_nhwc_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -11109,12 +11795,12 @@
generated_tests::Execute(device,
roi_align::createTestModel_nhwc_relaxed_2,
roi_align::is_ignored_nhwc_relaxed_2,
- roi_align::examples_nhwc_relaxed_2);
+ roi_align::get_examples_nhwc_relaxed_2());
}
TEST_F(ValidationTest, roi_align_nhwc_relaxed_2) {
const Model model = roi_align::createTestModel_nhwc_relaxed_2();
- const std::vector<Request> requests = createRequests(roi_align::examples_nhwc_relaxed_2);
+ const std::vector<Request> requests = createRequests(roi_align::get_examples_nhwc_relaxed_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -11124,12 +11810,12 @@
generated_tests::Execute(device,
roi_align::createTestModel_nhwc_quant8_2,
roi_align::is_ignored_nhwc_quant8_2,
- roi_align::examples_nhwc_quant8_2);
+ roi_align::get_examples_nhwc_quant8_2());
}
TEST_F(ValidationTest, roi_align_nhwc_quant8_2) {
const Model model = roi_align::createTestModel_nhwc_quant8_2();
- const std::vector<Request> requests = createRequests(roi_align::examples_nhwc_quant8_2);
+ const std::vector<Request> requests = createRequests(roi_align::get_examples_nhwc_quant8_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -11139,12 +11825,12 @@
generated_tests::Execute(device,
roi_align::createTestModel_nchw_2,
roi_align::is_ignored_nchw_2,
- roi_align::examples_nchw_2);
+ roi_align::get_examples_nchw_2());
}
TEST_F(ValidationTest, roi_align_nchw_2) {
const Model model = roi_align::createTestModel_nchw_2();
- const std::vector<Request> requests = createRequests(roi_align::examples_nchw_2);
+ const std::vector<Request> requests = createRequests(roi_align::get_examples_nchw_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -11154,12 +11840,12 @@
generated_tests::Execute(device,
roi_align::createTestModel_nchw_relaxed_2,
roi_align::is_ignored_nchw_relaxed_2,
- roi_align::examples_nchw_relaxed_2);
+ roi_align::get_examples_nchw_relaxed_2());
}
TEST_F(ValidationTest, roi_align_nchw_relaxed_2) {
const Model model = roi_align::createTestModel_nchw_relaxed_2();
- const std::vector<Request> requests = createRequests(roi_align::examples_nchw_relaxed_2);
+ const std::vector<Request> requests = createRequests(roi_align::get_examples_nchw_relaxed_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -11169,12 +11855,12 @@
generated_tests::Execute(device,
roi_align::createTestModel_nchw_quant8_2,
roi_align::is_ignored_nchw_quant8_2,
- roi_align::examples_nchw_quant8_2);
+ roi_align::get_examples_nchw_quant8_2());
}
TEST_F(ValidationTest, roi_align_nchw_quant8_2) {
const Model model = roi_align::createTestModel_nchw_quant8_2();
- const std::vector<Request> requests = createRequests(roi_align::examples_nchw_quant8_2);
+ const std::vector<Request> requests = createRequests(roi_align::get_examples_nchw_quant8_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -11184,12 +11870,12 @@
generated_tests::Execute(device,
roi_align::createTestModel_nhwc_3,
roi_align::is_ignored_nhwc_3,
- roi_align::examples_nhwc_3);
+ roi_align::get_examples_nhwc_3());
}
TEST_F(ValidationTest, roi_align_nhwc_3) {
const Model model = roi_align::createTestModel_nhwc_3();
- const std::vector<Request> requests = createRequests(roi_align::examples_nhwc_3);
+ const std::vector<Request> requests = createRequests(roi_align::get_examples_nhwc_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -11199,12 +11885,12 @@
generated_tests::Execute(device,
roi_align::createTestModel_nhwc_relaxed_3,
roi_align::is_ignored_nhwc_relaxed_3,
- roi_align::examples_nhwc_relaxed_3);
+ roi_align::get_examples_nhwc_relaxed_3());
}
TEST_F(ValidationTest, roi_align_nhwc_relaxed_3) {
const Model model = roi_align::createTestModel_nhwc_relaxed_3();
- const std::vector<Request> requests = createRequests(roi_align::examples_nhwc_relaxed_3);
+ const std::vector<Request> requests = createRequests(roi_align::get_examples_nhwc_relaxed_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -11214,12 +11900,12 @@
generated_tests::Execute(device,
roi_align::createTestModel_nhwc_quant8_3,
roi_align::is_ignored_nhwc_quant8_3,
- roi_align::examples_nhwc_quant8_3);
+ roi_align::get_examples_nhwc_quant8_3());
}
TEST_F(ValidationTest, roi_align_nhwc_quant8_3) {
const Model model = roi_align::createTestModel_nhwc_quant8_3();
- const std::vector<Request> requests = createRequests(roi_align::examples_nhwc_quant8_3);
+ const std::vector<Request> requests = createRequests(roi_align::get_examples_nhwc_quant8_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -11229,12 +11915,12 @@
generated_tests::Execute(device,
roi_align::createTestModel_nchw_3,
roi_align::is_ignored_nchw_3,
- roi_align::examples_nchw_3);
+ roi_align::get_examples_nchw_3());
}
TEST_F(ValidationTest, roi_align_nchw_3) {
const Model model = roi_align::createTestModel_nchw_3();
- const std::vector<Request> requests = createRequests(roi_align::examples_nchw_3);
+ const std::vector<Request> requests = createRequests(roi_align::get_examples_nchw_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -11244,12 +11930,12 @@
generated_tests::Execute(device,
roi_align::createTestModel_nchw_relaxed_3,
roi_align::is_ignored_nchw_relaxed_3,
- roi_align::examples_nchw_relaxed_3);
+ roi_align::get_examples_nchw_relaxed_3());
}
TEST_F(ValidationTest, roi_align_nchw_relaxed_3) {
const Model model = roi_align::createTestModel_nchw_relaxed_3();
- const std::vector<Request> requests = createRequests(roi_align::examples_nchw_relaxed_3);
+ const std::vector<Request> requests = createRequests(roi_align::get_examples_nchw_relaxed_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -11259,12 +11945,200 @@
generated_tests::Execute(device,
roi_align::createTestModel_nchw_quant8_3,
roi_align::is_ignored_nchw_quant8_3,
- roi_align::examples_nchw_quant8_3);
+ roi_align::get_examples_nchw_quant8_3());
}
TEST_F(ValidationTest, roi_align_nchw_quant8_3) {
const Model model = roi_align::createTestModel_nchw_quant8_3();
- const std::vector<Request> requests = createRequests(roi_align::examples_nchw_quant8_3);
+ const std::vector<Request> requests = createRequests(roi_align::get_examples_nchw_quant8_3());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+// Generated from: roi_pooling.mod.py.
+namespace roi_pooling {
+// Generated roi_pooling test
+#include "examples/roi_pooling.example.cpp"
+// Generated model constructor
+#include "vts_models/roi_pooling.model.cpp"
+} // namespace roi_pooling
+
+TEST_F(NeuralnetworksHidlTest, roi_pooling_nhwc) {
+ generated_tests::Execute(device,
+ roi_pooling::createTestModel_nhwc,
+ roi_pooling::is_ignored_nhwc,
+ roi_pooling::get_examples_nhwc());
+}
+
+TEST_F(ValidationTest, roi_pooling_nhwc) {
+ const Model model = roi_pooling::createTestModel_nhwc();
+ const std::vector<Request> requests = createRequests(roi_pooling::get_examples_nhwc());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, roi_pooling_nhwc_relaxed) {
+ generated_tests::Execute(device,
+ roi_pooling::createTestModel_nhwc_relaxed,
+ roi_pooling::is_ignored_nhwc_relaxed,
+ roi_pooling::get_examples_nhwc_relaxed());
+}
+
+TEST_F(ValidationTest, roi_pooling_nhwc_relaxed) {
+ const Model model = roi_pooling::createTestModel_nhwc_relaxed();
+ const std::vector<Request> requests = createRequests(roi_pooling::get_examples_nhwc_relaxed());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, roi_pooling_nhwc_quant8) {
+ generated_tests::Execute(device,
+ roi_pooling::createTestModel_nhwc_quant8,
+ roi_pooling::is_ignored_nhwc_quant8,
+ roi_pooling::get_examples_nhwc_quant8());
+}
+
+TEST_F(ValidationTest, roi_pooling_nhwc_quant8) {
+ const Model model = roi_pooling::createTestModel_nhwc_quant8();
+ const std::vector<Request> requests = createRequests(roi_pooling::get_examples_nhwc_quant8());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, roi_pooling_nchw) {
+ generated_tests::Execute(device,
+ roi_pooling::createTestModel_nchw,
+ roi_pooling::is_ignored_nchw,
+ roi_pooling::get_examples_nchw());
+}
+
+TEST_F(ValidationTest, roi_pooling_nchw) {
+ const Model model = roi_pooling::createTestModel_nchw();
+ const std::vector<Request> requests = createRequests(roi_pooling::get_examples_nchw());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, roi_pooling_nchw_relaxed) {
+ generated_tests::Execute(device,
+ roi_pooling::createTestModel_nchw_relaxed,
+ roi_pooling::is_ignored_nchw_relaxed,
+ roi_pooling::get_examples_nchw_relaxed());
+}
+
+TEST_F(ValidationTest, roi_pooling_nchw_relaxed) {
+ const Model model = roi_pooling::createTestModel_nchw_relaxed();
+ const std::vector<Request> requests = createRequests(roi_pooling::get_examples_nchw_relaxed());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, roi_pooling_nchw_quant8) {
+ generated_tests::Execute(device,
+ roi_pooling::createTestModel_nchw_quant8,
+ roi_pooling::is_ignored_nchw_quant8,
+ roi_pooling::get_examples_nchw_quant8());
+}
+
+TEST_F(ValidationTest, roi_pooling_nchw_quant8) {
+ const Model model = roi_pooling::createTestModel_nchw_quant8();
+ const std::vector<Request> requests = createRequests(roi_pooling::get_examples_nchw_quant8());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, roi_pooling_nhwc_2) {
+ generated_tests::Execute(device,
+ roi_pooling::createTestModel_nhwc_2,
+ roi_pooling::is_ignored_nhwc_2,
+ roi_pooling::get_examples_nhwc_2());
+}
+
+TEST_F(ValidationTest, roi_pooling_nhwc_2) {
+ const Model model = roi_pooling::createTestModel_nhwc_2();
+ const std::vector<Request> requests = createRequests(roi_pooling::get_examples_nhwc_2());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, roi_pooling_nhwc_relaxed_2) {
+ generated_tests::Execute(device,
+ roi_pooling::createTestModel_nhwc_relaxed_2,
+ roi_pooling::is_ignored_nhwc_relaxed_2,
+ roi_pooling::get_examples_nhwc_relaxed_2());
+}
+
+TEST_F(ValidationTest, roi_pooling_nhwc_relaxed_2) {
+ const Model model = roi_pooling::createTestModel_nhwc_relaxed_2();
+ const std::vector<Request> requests = createRequests(roi_pooling::get_examples_nhwc_relaxed_2());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, roi_pooling_nhwc_quant8_2) {
+ generated_tests::Execute(device,
+ roi_pooling::createTestModel_nhwc_quant8_2,
+ roi_pooling::is_ignored_nhwc_quant8_2,
+ roi_pooling::get_examples_nhwc_quant8_2());
+}
+
+TEST_F(ValidationTest, roi_pooling_nhwc_quant8_2) {
+ const Model model = roi_pooling::createTestModel_nhwc_quant8_2();
+ const std::vector<Request> requests = createRequests(roi_pooling::get_examples_nhwc_quant8_2());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, roi_pooling_nchw_2) {
+ generated_tests::Execute(device,
+ roi_pooling::createTestModel_nchw_2,
+ roi_pooling::is_ignored_nchw_2,
+ roi_pooling::get_examples_nchw_2());
+}
+
+TEST_F(ValidationTest, roi_pooling_nchw_2) {
+ const Model model = roi_pooling::createTestModel_nchw_2();
+ const std::vector<Request> requests = createRequests(roi_pooling::get_examples_nchw_2());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, roi_pooling_nchw_relaxed_2) {
+ generated_tests::Execute(device,
+ roi_pooling::createTestModel_nchw_relaxed_2,
+ roi_pooling::is_ignored_nchw_relaxed_2,
+ roi_pooling::get_examples_nchw_relaxed_2());
+}
+
+TEST_F(ValidationTest, roi_pooling_nchw_relaxed_2) {
+ const Model model = roi_pooling::createTestModel_nchw_relaxed_2();
+ const std::vector<Request> requests = createRequests(roi_pooling::get_examples_nchw_relaxed_2());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, roi_pooling_nchw_quant8_2) {
+ generated_tests::Execute(device,
+ roi_pooling::createTestModel_nchw_quant8_2,
+ roi_pooling::is_ignored_nchw_quant8_2,
+ roi_pooling::get_examples_nchw_quant8_2());
+}
+
+TEST_F(ValidationTest, roi_pooling_nchw_quant8_2) {
+ const Model model = roi_pooling::createTestModel_nchw_quant8_2();
+ const std::vector<Request> requests = createRequests(roi_pooling::get_examples_nchw_quant8_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -11282,12 +12156,12 @@
generated_tests::Execute(device,
rotated_bbox_transform::createTestModel,
rotated_bbox_transform::is_ignored,
- rotated_bbox_transform::examples);
+ rotated_bbox_transform::get_examples());
}
TEST_F(ValidationTest, rotated_bbox_transform) {
const Model model = rotated_bbox_transform::createTestModel();
- const std::vector<Request> requests = createRequests(rotated_bbox_transform::examples);
+ const std::vector<Request> requests = createRequests(rotated_bbox_transform::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -11297,12 +12171,12 @@
generated_tests::Execute(device,
rotated_bbox_transform::createTestModel_relaxed,
rotated_bbox_transform::is_ignored_relaxed,
- rotated_bbox_transform::examples_relaxed);
+ rotated_bbox_transform::get_examples_relaxed());
}
TEST_F(ValidationTest, rotated_bbox_transform_relaxed) {
const Model model = rotated_bbox_transform::createTestModel_relaxed();
- const std::vector<Request> requests = createRequests(rotated_bbox_transform::examples_relaxed);
+ const std::vector<Request> requests = createRequests(rotated_bbox_transform::get_examples_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -11312,12 +12186,12 @@
generated_tests::Execute(device,
rotated_bbox_transform::createTestModel_2,
rotated_bbox_transform::is_ignored_2,
- rotated_bbox_transform::examples_2);
+ rotated_bbox_transform::get_examples_2());
}
TEST_F(ValidationTest, rotated_bbox_transform_2) {
const Model model = rotated_bbox_transform::createTestModel_2();
- const std::vector<Request> requests = createRequests(rotated_bbox_transform::examples_2);
+ const std::vector<Request> requests = createRequests(rotated_bbox_transform::get_examples_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -11327,12 +12201,12 @@
generated_tests::Execute(device,
rotated_bbox_transform::createTestModel_relaxed_2,
rotated_bbox_transform::is_ignored_relaxed_2,
- rotated_bbox_transform::examples_relaxed_2);
+ rotated_bbox_transform::get_examples_relaxed_2());
}
TEST_F(ValidationTest, rotated_bbox_transform_relaxed_2) {
const Model model = rotated_bbox_transform::createTestModel_relaxed_2();
- const std::vector<Request> requests = createRequests(rotated_bbox_transform::examples_relaxed_2);
+ const std::vector<Request> requests = createRequests(rotated_bbox_transform::get_examples_relaxed_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -11342,12 +12216,12 @@
generated_tests::Execute(device,
rotated_bbox_transform::createTestModel_3,
rotated_bbox_transform::is_ignored_3,
- rotated_bbox_transform::examples_3);
+ rotated_bbox_transform::get_examples_3());
}
TEST_F(ValidationTest, rotated_bbox_transform_3) {
const Model model = rotated_bbox_transform::createTestModel_3();
- const std::vector<Request> requests = createRequests(rotated_bbox_transform::examples_3);
+ const std::vector<Request> requests = createRequests(rotated_bbox_transform::get_examples_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -11357,12 +12231,12 @@
generated_tests::Execute(device,
rotated_bbox_transform::createTestModel_relaxed_3,
rotated_bbox_transform::is_ignored_relaxed_3,
- rotated_bbox_transform::examples_relaxed_3);
+ rotated_bbox_transform::get_examples_relaxed_3());
}
TEST_F(ValidationTest, rotated_bbox_transform_relaxed_3) {
const Model model = rotated_bbox_transform::createTestModel_relaxed_3();
- const std::vector<Request> requests = createRequests(rotated_bbox_transform::examples_relaxed_3);
+ const std::vector<Request> requests = createRequests(rotated_bbox_transform::get_examples_relaxed_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -11372,12 +12246,12 @@
generated_tests::Execute(device,
rotated_bbox_transform::createTestModel_single_batch,
rotated_bbox_transform::is_ignored_single_batch,
- rotated_bbox_transform::examples_single_batch);
+ rotated_bbox_transform::get_examples_single_batch());
}
TEST_F(ValidationTest, rotated_bbox_transform_single_batch) {
const Model model = rotated_bbox_transform::createTestModel_single_batch();
- const std::vector<Request> requests = createRequests(rotated_bbox_transform::examples_single_batch);
+ const std::vector<Request> requests = createRequests(rotated_bbox_transform::get_examples_single_batch());
validateModel(model);
validateRequests(model, requests);
}
@@ -11387,12 +12261,380 @@
generated_tests::Execute(device,
rotated_bbox_transform::createTestModel_single_batch_relaxed,
rotated_bbox_transform::is_ignored_single_batch_relaxed,
- rotated_bbox_transform::examples_single_batch_relaxed);
+ rotated_bbox_transform::get_examples_single_batch_relaxed());
}
TEST_F(ValidationTest, rotated_bbox_transform_single_batch_relaxed) {
const Model model = rotated_bbox_transform::createTestModel_single_batch_relaxed();
- const std::vector<Request> requests = createRequests(rotated_bbox_transform::examples_single_batch_relaxed);
+ const std::vector<Request> requests = createRequests(rotated_bbox_transform::get_examples_single_batch_relaxed());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+// Generated from: slice.mod.py.
+namespace slice {
+// Generated slice test
+#include "examples/slice.example.cpp"
+// Generated model constructor
+#include "vts_models/slice.model.cpp"
+} // namespace slice
+
+TEST_F(NeuralnetworksHidlTest, slice) {
+ generated_tests::Execute(device,
+ slice::createTestModel,
+ slice::is_ignored,
+ slice::examples);
+}
+
+TEST_F(ValidationTest, slice) {
+ const Model model = slice::createTestModel();
+ const std::vector<Request> requests = createRequests(slice::examples);
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, slice_relaxed) {
+ generated_tests::Execute(device,
+ slice::createTestModel_relaxed,
+ slice::is_ignored_relaxed,
+ slice::examples_relaxed);
+}
+
+TEST_F(ValidationTest, slice_relaxed) {
+ const Model model = slice::createTestModel_relaxed();
+ const std::vector<Request> requests = createRequests(slice::examples_relaxed);
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, slice_float16) {
+ generated_tests::Execute(device,
+ slice::createTestModel_float16,
+ slice::is_ignored_float16,
+ slice::examples_float16);
+}
+
+TEST_F(ValidationTest, slice_float16) {
+ const Model model = slice::createTestModel_float16();
+ const std::vector<Request> requests = createRequests(slice::examples_float16);
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, slice_2) {
+ generated_tests::Execute(device,
+ slice::createTestModel_2,
+ slice::is_ignored_2,
+ slice::examples_2);
+}
+
+TEST_F(ValidationTest, slice_2) {
+ const Model model = slice::createTestModel_2();
+ const std::vector<Request> requests = createRequests(slice::examples_2);
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, slice_relaxed_2) {
+ generated_tests::Execute(device,
+ slice::createTestModel_relaxed_2,
+ slice::is_ignored_relaxed_2,
+ slice::examples_relaxed_2);
+}
+
+TEST_F(ValidationTest, slice_relaxed_2) {
+ const Model model = slice::createTestModel_relaxed_2();
+ const std::vector<Request> requests = createRequests(slice::examples_relaxed_2);
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, slice_float16_2) {
+ generated_tests::Execute(device,
+ slice::createTestModel_float16_2,
+ slice::is_ignored_float16_2,
+ slice::examples_float16_2);
+}
+
+TEST_F(ValidationTest, slice_float16_2) {
+ const Model model = slice::createTestModel_float16_2();
+ const std::vector<Request> requests = createRequests(slice::examples_float16_2);
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, slice_3) {
+ generated_tests::Execute(device,
+ slice::createTestModel_3,
+ slice::is_ignored_3,
+ slice::examples_3);
+}
+
+TEST_F(ValidationTest, slice_3) {
+ const Model model = slice::createTestModel_3();
+ const std::vector<Request> requests = createRequests(slice::examples_3);
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, slice_relaxed_3) {
+ generated_tests::Execute(device,
+ slice::createTestModel_relaxed_3,
+ slice::is_ignored_relaxed_3,
+ slice::examples_relaxed_3);
+}
+
+TEST_F(ValidationTest, slice_relaxed_3) {
+ const Model model = slice::createTestModel_relaxed_3();
+ const std::vector<Request> requests = createRequests(slice::examples_relaxed_3);
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, slice_float16_3) {
+ generated_tests::Execute(device,
+ slice::createTestModel_float16_3,
+ slice::is_ignored_float16_3,
+ slice::examples_float16_3);
+}
+
+TEST_F(ValidationTest, slice_float16_3) {
+ const Model model = slice::createTestModel_float16_3();
+ const std::vector<Request> requests = createRequests(slice::examples_float16_3);
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, slice_4) {
+ generated_tests::Execute(device,
+ slice::createTestModel_4,
+ slice::is_ignored_4,
+ slice::examples_4);
+}
+
+TEST_F(ValidationTest, slice_4) {
+ const Model model = slice::createTestModel_4();
+ const std::vector<Request> requests = createRequests(slice::examples_4);
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, slice_relaxed_4) {
+ generated_tests::Execute(device,
+ slice::createTestModel_relaxed_4,
+ slice::is_ignored_relaxed_4,
+ slice::examples_relaxed_4);
+}
+
+TEST_F(ValidationTest, slice_relaxed_4) {
+ const Model model = slice::createTestModel_relaxed_4();
+ const std::vector<Request> requests = createRequests(slice::examples_relaxed_4);
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, slice_float16_4) {
+ generated_tests::Execute(device,
+ slice::createTestModel_float16_4,
+ slice::is_ignored_float16_4,
+ slice::examples_float16_4);
+}
+
+TEST_F(ValidationTest, slice_float16_4) {
+ const Model model = slice::createTestModel_float16_4();
+ const std::vector<Request> requests = createRequests(slice::examples_float16_4);
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, slice_5) {
+ generated_tests::Execute(device,
+ slice::createTestModel_5,
+ slice::is_ignored_5,
+ slice::examples_5);
+}
+
+TEST_F(ValidationTest, slice_5) {
+ const Model model = slice::createTestModel_5();
+ const std::vector<Request> requests = createRequests(slice::examples_5);
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, slice_relaxed_5) {
+ generated_tests::Execute(device,
+ slice::createTestModel_relaxed_5,
+ slice::is_ignored_relaxed_5,
+ slice::examples_relaxed_5);
+}
+
+TEST_F(ValidationTest, slice_relaxed_5) {
+ const Model model = slice::createTestModel_relaxed_5();
+ const std::vector<Request> requests = createRequests(slice::examples_relaxed_5);
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, slice_float16_5) {
+ generated_tests::Execute(device,
+ slice::createTestModel_float16_5,
+ slice::is_ignored_float16_5,
+ slice::examples_float16_5);
+}
+
+TEST_F(ValidationTest, slice_float16_5) {
+ const Model model = slice::createTestModel_float16_5();
+ const std::vector<Request> requests = createRequests(slice::examples_float16_5);
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, slice_6) {
+ generated_tests::Execute(device,
+ slice::createTestModel_6,
+ slice::is_ignored_6,
+ slice::examples_6);
+}
+
+TEST_F(ValidationTest, slice_6) {
+ const Model model = slice::createTestModel_6();
+ const std::vector<Request> requests = createRequests(slice::examples_6);
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, slice_relaxed_6) {
+ generated_tests::Execute(device,
+ slice::createTestModel_relaxed_6,
+ slice::is_ignored_relaxed_6,
+ slice::examples_relaxed_6);
+}
+
+TEST_F(ValidationTest, slice_relaxed_6) {
+ const Model model = slice::createTestModel_relaxed_6();
+ const std::vector<Request> requests = createRequests(slice::examples_relaxed_6);
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, slice_float16_6) {
+ generated_tests::Execute(device,
+ slice::createTestModel_float16_6,
+ slice::is_ignored_float16_6,
+ slice::examples_float16_6);
+}
+
+TEST_F(ValidationTest, slice_float16_6) {
+ const Model model = slice::createTestModel_float16_6();
+ const std::vector<Request> requests = createRequests(slice::examples_float16_6);
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, slice_7) {
+ generated_tests::Execute(device,
+ slice::createTestModel_7,
+ slice::is_ignored_7,
+ slice::examples_7);
+}
+
+TEST_F(ValidationTest, slice_7) {
+ const Model model = slice::createTestModel_7();
+ const std::vector<Request> requests = createRequests(slice::examples_7);
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, slice_relaxed_7) {
+ generated_tests::Execute(device,
+ slice::createTestModel_relaxed_7,
+ slice::is_ignored_relaxed_7,
+ slice::examples_relaxed_7);
+}
+
+TEST_F(ValidationTest, slice_relaxed_7) {
+ const Model model = slice::createTestModel_relaxed_7();
+ const std::vector<Request> requests = createRequests(slice::examples_relaxed_7);
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, slice_float16_7) {
+ generated_tests::Execute(device,
+ slice::createTestModel_float16_7,
+ slice::is_ignored_float16_7,
+ slice::examples_float16_7);
+}
+
+TEST_F(ValidationTest, slice_float16_7) {
+ const Model model = slice::createTestModel_float16_7();
+ const std::vector<Request> requests = createRequests(slice::examples_float16_7);
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, slice_8) {
+ generated_tests::Execute(device,
+ slice::createTestModel_8,
+ slice::is_ignored_8,
+ slice::examples_8);
+}
+
+TEST_F(ValidationTest, slice_8) {
+ const Model model = slice::createTestModel_8();
+ const std::vector<Request> requests = createRequests(slice::examples_8);
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, slice_relaxed_8) {
+ generated_tests::Execute(device,
+ slice::createTestModel_relaxed_8,
+ slice::is_ignored_relaxed_8,
+ slice::examples_relaxed_8);
+}
+
+TEST_F(ValidationTest, slice_relaxed_8) {
+ const Model model = slice::createTestModel_relaxed_8();
+ const std::vector<Request> requests = createRequests(slice::examples_relaxed_8);
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, slice_float16_8) {
+ generated_tests::Execute(device,
+ slice::createTestModel_float16_8,
+ slice::is_ignored_float16_8,
+ slice::examples_float16_8);
+}
+
+TEST_F(ValidationTest, slice_float16_8) {
+ const Model model = slice::createTestModel_float16_8();
+ const std::vector<Request> requests = createRequests(slice::examples_float16_8);
validateModel(model);
validateRequests(model, requests);
}
@@ -11410,12 +12652,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel,
softmax_v1_2::is_ignored,
- softmax_v1_2::examples);
+ softmax_v1_2::get_examples());
}
TEST_F(ValidationTest, softmax_v1_2) {
const Model model = softmax_v1_2::createTestModel();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -11425,12 +12667,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_dim1_axis0,
softmax_v1_2::is_ignored_dim1_axis0,
- softmax_v1_2::examples_dim1_axis0);
+ softmax_v1_2::get_examples_dim1_axis0());
}
TEST_F(ValidationTest, softmax_v1_2_dim1_axis0) {
const Model model = softmax_v1_2::createTestModel_dim1_axis0();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_dim1_axis0);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_dim1_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -11440,12 +12682,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_dim3_axis2,
softmax_v1_2::is_ignored_dim3_axis2,
- softmax_v1_2::examples_dim3_axis2);
+ softmax_v1_2::get_examples_dim3_axis2());
}
TEST_F(ValidationTest, softmax_v1_2_dim3_axis2) {
const Model model = softmax_v1_2::createTestModel_dim3_axis2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_dim3_axis2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_dim3_axis2());
validateModel(model);
validateRequests(model, requests);
}
@@ -11455,12 +12697,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_relaxed,
softmax_v1_2::is_ignored_relaxed,
- softmax_v1_2::examples_relaxed);
+ softmax_v1_2::get_examples_relaxed());
}
TEST_F(ValidationTest, softmax_v1_2_relaxed) {
const Model model = softmax_v1_2::createTestModel_relaxed();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_relaxed);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -11470,12 +12712,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_relaxed_dim1_axis0,
softmax_v1_2::is_ignored_relaxed_dim1_axis0,
- softmax_v1_2::examples_relaxed_dim1_axis0);
+ softmax_v1_2::get_examples_relaxed_dim1_axis0());
}
TEST_F(ValidationTest, softmax_v1_2_relaxed_dim1_axis0) {
const Model model = softmax_v1_2::createTestModel_relaxed_dim1_axis0();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_relaxed_dim1_axis0);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_relaxed_dim1_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -11485,12 +12727,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_relaxed_dim3_axis2,
softmax_v1_2::is_ignored_relaxed_dim3_axis2,
- softmax_v1_2::examples_relaxed_dim3_axis2);
+ softmax_v1_2::get_examples_relaxed_dim3_axis2());
}
TEST_F(ValidationTest, softmax_v1_2_relaxed_dim3_axis2) {
const Model model = softmax_v1_2::createTestModel_relaxed_dim3_axis2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_relaxed_dim3_axis2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_relaxed_dim3_axis2());
validateModel(model);
validateRequests(model, requests);
}
@@ -11500,12 +12742,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_float16,
softmax_v1_2::is_ignored_float16,
- softmax_v1_2::examples_float16);
+ softmax_v1_2::get_examples_float16());
}
TEST_F(ValidationTest, softmax_v1_2_float16) {
const Model model = softmax_v1_2::createTestModel_float16();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_float16);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -11515,12 +12757,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_float16_dim1_axis0,
softmax_v1_2::is_ignored_float16_dim1_axis0,
- softmax_v1_2::examples_float16_dim1_axis0);
+ softmax_v1_2::get_examples_float16_dim1_axis0());
}
TEST_F(ValidationTest, softmax_v1_2_float16_dim1_axis0) {
const Model model = softmax_v1_2::createTestModel_float16_dim1_axis0();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_float16_dim1_axis0);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_float16_dim1_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -11530,12 +12772,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_float16_dim3_axis2,
softmax_v1_2::is_ignored_float16_dim3_axis2,
- softmax_v1_2::examples_float16_dim3_axis2);
+ softmax_v1_2::get_examples_float16_dim3_axis2());
}
TEST_F(ValidationTest, softmax_v1_2_float16_dim3_axis2) {
const Model model = softmax_v1_2::createTestModel_float16_dim3_axis2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_float16_dim3_axis2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_float16_dim3_axis2());
validateModel(model);
validateRequests(model, requests);
}
@@ -11545,12 +12787,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_quant8,
softmax_v1_2::is_ignored_quant8,
- softmax_v1_2::examples_quant8);
+ softmax_v1_2::get_examples_quant8());
}
TEST_F(ValidationTest, softmax_v1_2_quant8) {
const Model model = softmax_v1_2::createTestModel_quant8();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_quant8);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -11560,12 +12802,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_quant8_dim1_axis0,
softmax_v1_2::is_ignored_quant8_dim1_axis0,
- softmax_v1_2::examples_quant8_dim1_axis0);
+ softmax_v1_2::get_examples_quant8_dim1_axis0());
}
TEST_F(ValidationTest, softmax_v1_2_quant8_dim1_axis0) {
const Model model = softmax_v1_2::createTestModel_quant8_dim1_axis0();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_quant8_dim1_axis0);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_quant8_dim1_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -11575,12 +12817,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_quant8_dim3_axis2,
softmax_v1_2::is_ignored_quant8_dim3_axis2,
- softmax_v1_2::examples_quant8_dim3_axis2);
+ softmax_v1_2::get_examples_quant8_dim3_axis2());
}
TEST_F(ValidationTest, softmax_v1_2_quant8_dim3_axis2) {
const Model model = softmax_v1_2::createTestModel_quant8_dim3_axis2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_quant8_dim3_axis2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_quant8_dim3_axis2());
validateModel(model);
validateRequests(model, requests);
}
@@ -11590,12 +12832,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_2,
softmax_v1_2::is_ignored_2,
- softmax_v1_2::examples_2);
+ softmax_v1_2::get_examples_2());
}
TEST_F(ValidationTest, softmax_v1_2_2) {
const Model model = softmax_v1_2::createTestModel_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -11605,12 +12847,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_dim1_axis0_2,
softmax_v1_2::is_ignored_dim1_axis0_2,
- softmax_v1_2::examples_dim1_axis0_2);
+ softmax_v1_2::get_examples_dim1_axis0_2());
}
TEST_F(ValidationTest, softmax_v1_2_dim1_axis0_2) {
const Model model = softmax_v1_2::createTestModel_dim1_axis0_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_dim1_axis0_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_dim1_axis0_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -11620,12 +12862,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_dim3_axis2_2,
softmax_v1_2::is_ignored_dim3_axis2_2,
- softmax_v1_2::examples_dim3_axis2_2);
+ softmax_v1_2::get_examples_dim3_axis2_2());
}
TEST_F(ValidationTest, softmax_v1_2_dim3_axis2_2) {
const Model model = softmax_v1_2::createTestModel_dim3_axis2_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_dim3_axis2_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_dim3_axis2_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -11635,12 +12877,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_relaxed_2,
softmax_v1_2::is_ignored_relaxed_2,
- softmax_v1_2::examples_relaxed_2);
+ softmax_v1_2::get_examples_relaxed_2());
}
TEST_F(ValidationTest, softmax_v1_2_relaxed_2) {
const Model model = softmax_v1_2::createTestModel_relaxed_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_relaxed_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_relaxed_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -11650,12 +12892,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_relaxed_dim1_axis0_2,
softmax_v1_2::is_ignored_relaxed_dim1_axis0_2,
- softmax_v1_2::examples_relaxed_dim1_axis0_2);
+ softmax_v1_2::get_examples_relaxed_dim1_axis0_2());
}
TEST_F(ValidationTest, softmax_v1_2_relaxed_dim1_axis0_2) {
const Model model = softmax_v1_2::createTestModel_relaxed_dim1_axis0_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_relaxed_dim1_axis0_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_relaxed_dim1_axis0_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -11665,12 +12907,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_relaxed_dim3_axis2_2,
softmax_v1_2::is_ignored_relaxed_dim3_axis2_2,
- softmax_v1_2::examples_relaxed_dim3_axis2_2);
+ softmax_v1_2::get_examples_relaxed_dim3_axis2_2());
}
TEST_F(ValidationTest, softmax_v1_2_relaxed_dim3_axis2_2) {
const Model model = softmax_v1_2::createTestModel_relaxed_dim3_axis2_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_relaxed_dim3_axis2_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_relaxed_dim3_axis2_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -11680,12 +12922,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_float16_2,
softmax_v1_2::is_ignored_float16_2,
- softmax_v1_2::examples_float16_2);
+ softmax_v1_2::get_examples_float16_2());
}
TEST_F(ValidationTest, softmax_v1_2_float16_2) {
const Model model = softmax_v1_2::createTestModel_float16_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_float16_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_float16_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -11695,12 +12937,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_float16_dim1_axis0_2,
softmax_v1_2::is_ignored_float16_dim1_axis0_2,
- softmax_v1_2::examples_float16_dim1_axis0_2);
+ softmax_v1_2::get_examples_float16_dim1_axis0_2());
}
TEST_F(ValidationTest, softmax_v1_2_float16_dim1_axis0_2) {
const Model model = softmax_v1_2::createTestModel_float16_dim1_axis0_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_float16_dim1_axis0_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_float16_dim1_axis0_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -11710,12 +12952,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_float16_dim3_axis2_2,
softmax_v1_2::is_ignored_float16_dim3_axis2_2,
- softmax_v1_2::examples_float16_dim3_axis2_2);
+ softmax_v1_2::get_examples_float16_dim3_axis2_2());
}
TEST_F(ValidationTest, softmax_v1_2_float16_dim3_axis2_2) {
const Model model = softmax_v1_2::createTestModel_float16_dim3_axis2_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_float16_dim3_axis2_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_float16_dim3_axis2_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -11725,12 +12967,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_quant8_2,
softmax_v1_2::is_ignored_quant8_2,
- softmax_v1_2::examples_quant8_2);
+ softmax_v1_2::get_examples_quant8_2());
}
TEST_F(ValidationTest, softmax_v1_2_quant8_2) {
const Model model = softmax_v1_2::createTestModel_quant8_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_quant8_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_quant8_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -11740,12 +12982,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_quant8_dim1_axis0_2,
softmax_v1_2::is_ignored_quant8_dim1_axis0_2,
- softmax_v1_2::examples_quant8_dim1_axis0_2);
+ softmax_v1_2::get_examples_quant8_dim1_axis0_2());
}
TEST_F(ValidationTest, softmax_v1_2_quant8_dim1_axis0_2) {
const Model model = softmax_v1_2::createTestModel_quant8_dim1_axis0_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_quant8_dim1_axis0_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_quant8_dim1_axis0_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -11755,12 +12997,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_quant8_dim3_axis2_2,
softmax_v1_2::is_ignored_quant8_dim3_axis2_2,
- softmax_v1_2::examples_quant8_dim3_axis2_2);
+ softmax_v1_2::get_examples_quant8_dim3_axis2_2());
}
TEST_F(ValidationTest, softmax_v1_2_quant8_dim3_axis2_2) {
const Model model = softmax_v1_2::createTestModel_quant8_dim3_axis2_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_quant8_dim3_axis2_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_quant8_dim3_axis2_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -11770,12 +13012,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim4_axis0,
softmax_v1_2::is_ignored_axis_dim4_axis0,
- softmax_v1_2::examples_axis_dim4_axis0);
+ softmax_v1_2::get_examples_axis_dim4_axis0());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim4_axis0) {
const Model model = softmax_v1_2::createTestModel_axis_dim4_axis0();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim4_axis0);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim4_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -11785,12 +13027,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim4_axis0_neg,
softmax_v1_2::is_ignored_axis_dim4_axis0_neg,
- softmax_v1_2::examples_axis_dim4_axis0_neg);
+ softmax_v1_2::get_examples_axis_dim4_axis0_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim4_axis0_neg) {
const Model model = softmax_v1_2::createTestModel_axis_dim4_axis0_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim4_axis0_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim4_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -11800,12 +13042,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim4_axis1,
softmax_v1_2::is_ignored_axis_dim4_axis1,
- softmax_v1_2::examples_axis_dim4_axis1);
+ softmax_v1_2::get_examples_axis_dim4_axis1());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim4_axis1) {
const Model model = softmax_v1_2::createTestModel_axis_dim4_axis1();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim4_axis1);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim4_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -11815,12 +13057,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim4_axis1_neg,
softmax_v1_2::is_ignored_axis_dim4_axis1_neg,
- softmax_v1_2::examples_axis_dim4_axis1_neg);
+ softmax_v1_2::get_examples_axis_dim4_axis1_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim4_axis1_neg) {
const Model model = softmax_v1_2::createTestModel_axis_dim4_axis1_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim4_axis1_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim4_axis1_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -11830,12 +13072,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim4_axis2,
softmax_v1_2::is_ignored_axis_dim4_axis2,
- softmax_v1_2::examples_axis_dim4_axis2);
+ softmax_v1_2::get_examples_axis_dim4_axis2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim4_axis2) {
const Model model = softmax_v1_2::createTestModel_axis_dim4_axis2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim4_axis2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim4_axis2());
validateModel(model);
validateRequests(model, requests);
}
@@ -11845,12 +13087,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim4_axis2_neg,
softmax_v1_2::is_ignored_axis_dim4_axis2_neg,
- softmax_v1_2::examples_axis_dim4_axis2_neg);
+ softmax_v1_2::get_examples_axis_dim4_axis2_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim4_axis2_neg) {
const Model model = softmax_v1_2::createTestModel_axis_dim4_axis2_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim4_axis2_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim4_axis2_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -11860,12 +13102,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim4_axis3,
softmax_v1_2::is_ignored_axis_dim4_axis3,
- softmax_v1_2::examples_axis_dim4_axis3);
+ softmax_v1_2::get_examples_axis_dim4_axis3());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim4_axis3) {
const Model model = softmax_v1_2::createTestModel_axis_dim4_axis3();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim4_axis3);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim4_axis3());
validateModel(model);
validateRequests(model, requests);
}
@@ -11875,12 +13117,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim4_axis3_neg,
softmax_v1_2::is_ignored_axis_dim4_axis3_neg,
- softmax_v1_2::examples_axis_dim4_axis3_neg);
+ softmax_v1_2::get_examples_axis_dim4_axis3_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim4_axis3_neg) {
const Model model = softmax_v1_2::createTestModel_axis_dim4_axis3_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim4_axis3_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim4_axis3_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -11890,12 +13132,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim3_axis0,
softmax_v1_2::is_ignored_axis_dim3_axis0,
- softmax_v1_2::examples_axis_dim3_axis0);
+ softmax_v1_2::get_examples_axis_dim3_axis0());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim3_axis0) {
const Model model = softmax_v1_2::createTestModel_axis_dim3_axis0();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim3_axis0);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim3_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -11905,12 +13147,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim3_axis0_neg,
softmax_v1_2::is_ignored_axis_dim3_axis0_neg,
- softmax_v1_2::examples_axis_dim3_axis0_neg);
+ softmax_v1_2::get_examples_axis_dim3_axis0_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim3_axis0_neg) {
const Model model = softmax_v1_2::createTestModel_axis_dim3_axis0_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim3_axis0_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim3_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -11920,12 +13162,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim3_axis1,
softmax_v1_2::is_ignored_axis_dim3_axis1,
- softmax_v1_2::examples_axis_dim3_axis1);
+ softmax_v1_2::get_examples_axis_dim3_axis1());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim3_axis1) {
const Model model = softmax_v1_2::createTestModel_axis_dim3_axis1();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim3_axis1);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim3_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -11935,12 +13177,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim3_axis1_neg,
softmax_v1_2::is_ignored_axis_dim3_axis1_neg,
- softmax_v1_2::examples_axis_dim3_axis1_neg);
+ softmax_v1_2::get_examples_axis_dim3_axis1_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim3_axis1_neg) {
const Model model = softmax_v1_2::createTestModel_axis_dim3_axis1_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim3_axis1_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim3_axis1_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -11950,12 +13192,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim3_axis2,
softmax_v1_2::is_ignored_axis_dim3_axis2,
- softmax_v1_2::examples_axis_dim3_axis2);
+ softmax_v1_2::get_examples_axis_dim3_axis2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim3_axis2) {
const Model model = softmax_v1_2::createTestModel_axis_dim3_axis2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim3_axis2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim3_axis2());
validateModel(model);
validateRequests(model, requests);
}
@@ -11965,12 +13207,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim3_axis2_neg,
softmax_v1_2::is_ignored_axis_dim3_axis2_neg,
- softmax_v1_2::examples_axis_dim3_axis2_neg);
+ softmax_v1_2::get_examples_axis_dim3_axis2_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim3_axis2_neg) {
const Model model = softmax_v1_2::createTestModel_axis_dim3_axis2_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim3_axis2_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim3_axis2_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -11980,12 +13222,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim2_axis0,
softmax_v1_2::is_ignored_axis_dim2_axis0,
- softmax_v1_2::examples_axis_dim2_axis0);
+ softmax_v1_2::get_examples_axis_dim2_axis0());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim2_axis0) {
const Model model = softmax_v1_2::createTestModel_axis_dim2_axis0();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim2_axis0);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim2_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -11995,12 +13237,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim2_axis0_neg,
softmax_v1_2::is_ignored_axis_dim2_axis0_neg,
- softmax_v1_2::examples_axis_dim2_axis0_neg);
+ softmax_v1_2::get_examples_axis_dim2_axis0_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim2_axis0_neg) {
const Model model = softmax_v1_2::createTestModel_axis_dim2_axis0_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim2_axis0_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim2_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -12010,12 +13252,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim2_axis1,
softmax_v1_2::is_ignored_axis_dim2_axis1,
- softmax_v1_2::examples_axis_dim2_axis1);
+ softmax_v1_2::get_examples_axis_dim2_axis1());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim2_axis1) {
const Model model = softmax_v1_2::createTestModel_axis_dim2_axis1();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim2_axis1);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim2_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -12025,12 +13267,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim2_axis1_neg,
softmax_v1_2::is_ignored_axis_dim2_axis1_neg,
- softmax_v1_2::examples_axis_dim2_axis1_neg);
+ softmax_v1_2::get_examples_axis_dim2_axis1_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim2_axis1_neg) {
const Model model = softmax_v1_2::createTestModel_axis_dim2_axis1_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim2_axis1_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim2_axis1_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -12040,12 +13282,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim1_axis0,
softmax_v1_2::is_ignored_axis_dim1_axis0,
- softmax_v1_2::examples_axis_dim1_axis0);
+ softmax_v1_2::get_examples_axis_dim1_axis0());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim1_axis0) {
const Model model = softmax_v1_2::createTestModel_axis_dim1_axis0();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim1_axis0);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim1_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -12055,12 +13297,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim1_axis0_neg,
softmax_v1_2::is_ignored_axis_dim1_axis0_neg,
- softmax_v1_2::examples_axis_dim1_axis0_neg);
+ softmax_v1_2::get_examples_axis_dim1_axis0_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim1_axis0_neg) {
const Model model = softmax_v1_2::createTestModel_axis_dim1_axis0_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim1_axis0_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim1_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -12070,12 +13312,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim4_axis0,
softmax_v1_2::is_ignored_axis_relaxed_dim4_axis0,
- softmax_v1_2::examples_axis_relaxed_dim4_axis0);
+ softmax_v1_2::get_examples_axis_relaxed_dim4_axis0());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim4_axis0) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim4_axis0();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim4_axis0);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim4_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -12085,12 +13327,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim4_axis0_neg,
softmax_v1_2::is_ignored_axis_relaxed_dim4_axis0_neg,
- softmax_v1_2::examples_axis_relaxed_dim4_axis0_neg);
+ softmax_v1_2::get_examples_axis_relaxed_dim4_axis0_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim4_axis0_neg) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim4_axis0_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim4_axis0_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim4_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -12100,12 +13342,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim4_axis1,
softmax_v1_2::is_ignored_axis_relaxed_dim4_axis1,
- softmax_v1_2::examples_axis_relaxed_dim4_axis1);
+ softmax_v1_2::get_examples_axis_relaxed_dim4_axis1());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim4_axis1) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim4_axis1();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim4_axis1);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim4_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -12115,12 +13357,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim4_axis1_neg,
softmax_v1_2::is_ignored_axis_relaxed_dim4_axis1_neg,
- softmax_v1_2::examples_axis_relaxed_dim4_axis1_neg);
+ softmax_v1_2::get_examples_axis_relaxed_dim4_axis1_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim4_axis1_neg) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim4_axis1_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim4_axis1_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim4_axis1_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -12130,12 +13372,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim4_axis2,
softmax_v1_2::is_ignored_axis_relaxed_dim4_axis2,
- softmax_v1_2::examples_axis_relaxed_dim4_axis2);
+ softmax_v1_2::get_examples_axis_relaxed_dim4_axis2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim4_axis2) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim4_axis2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim4_axis2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim4_axis2());
validateModel(model);
validateRequests(model, requests);
}
@@ -12145,12 +13387,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim4_axis2_neg,
softmax_v1_2::is_ignored_axis_relaxed_dim4_axis2_neg,
- softmax_v1_2::examples_axis_relaxed_dim4_axis2_neg);
+ softmax_v1_2::get_examples_axis_relaxed_dim4_axis2_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim4_axis2_neg) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim4_axis2_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim4_axis2_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim4_axis2_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -12160,12 +13402,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim4_axis3,
softmax_v1_2::is_ignored_axis_relaxed_dim4_axis3,
- softmax_v1_2::examples_axis_relaxed_dim4_axis3);
+ softmax_v1_2::get_examples_axis_relaxed_dim4_axis3());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim4_axis3) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim4_axis3();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim4_axis3);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim4_axis3());
validateModel(model);
validateRequests(model, requests);
}
@@ -12175,12 +13417,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim4_axis3_neg,
softmax_v1_2::is_ignored_axis_relaxed_dim4_axis3_neg,
- softmax_v1_2::examples_axis_relaxed_dim4_axis3_neg);
+ softmax_v1_2::get_examples_axis_relaxed_dim4_axis3_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim4_axis3_neg) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim4_axis3_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim4_axis3_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim4_axis3_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -12190,12 +13432,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim3_axis0,
softmax_v1_2::is_ignored_axis_relaxed_dim3_axis0,
- softmax_v1_2::examples_axis_relaxed_dim3_axis0);
+ softmax_v1_2::get_examples_axis_relaxed_dim3_axis0());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim3_axis0) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim3_axis0();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim3_axis0);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim3_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -12205,12 +13447,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim3_axis0_neg,
softmax_v1_2::is_ignored_axis_relaxed_dim3_axis0_neg,
- softmax_v1_2::examples_axis_relaxed_dim3_axis0_neg);
+ softmax_v1_2::get_examples_axis_relaxed_dim3_axis0_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim3_axis0_neg) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim3_axis0_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim3_axis0_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim3_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -12220,12 +13462,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim3_axis1,
softmax_v1_2::is_ignored_axis_relaxed_dim3_axis1,
- softmax_v1_2::examples_axis_relaxed_dim3_axis1);
+ softmax_v1_2::get_examples_axis_relaxed_dim3_axis1());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim3_axis1) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim3_axis1();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim3_axis1);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim3_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -12235,12 +13477,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim3_axis1_neg,
softmax_v1_2::is_ignored_axis_relaxed_dim3_axis1_neg,
- softmax_v1_2::examples_axis_relaxed_dim3_axis1_neg);
+ softmax_v1_2::get_examples_axis_relaxed_dim3_axis1_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim3_axis1_neg) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim3_axis1_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim3_axis1_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim3_axis1_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -12250,12 +13492,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim3_axis2,
softmax_v1_2::is_ignored_axis_relaxed_dim3_axis2,
- softmax_v1_2::examples_axis_relaxed_dim3_axis2);
+ softmax_v1_2::get_examples_axis_relaxed_dim3_axis2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim3_axis2) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim3_axis2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim3_axis2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim3_axis2());
validateModel(model);
validateRequests(model, requests);
}
@@ -12265,12 +13507,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim3_axis2_neg,
softmax_v1_2::is_ignored_axis_relaxed_dim3_axis2_neg,
- softmax_v1_2::examples_axis_relaxed_dim3_axis2_neg);
+ softmax_v1_2::get_examples_axis_relaxed_dim3_axis2_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim3_axis2_neg) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim3_axis2_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim3_axis2_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim3_axis2_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -12280,12 +13522,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim2_axis0,
softmax_v1_2::is_ignored_axis_relaxed_dim2_axis0,
- softmax_v1_2::examples_axis_relaxed_dim2_axis0);
+ softmax_v1_2::get_examples_axis_relaxed_dim2_axis0());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim2_axis0) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim2_axis0();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim2_axis0);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim2_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -12295,12 +13537,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim2_axis0_neg,
softmax_v1_2::is_ignored_axis_relaxed_dim2_axis0_neg,
- softmax_v1_2::examples_axis_relaxed_dim2_axis0_neg);
+ softmax_v1_2::get_examples_axis_relaxed_dim2_axis0_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim2_axis0_neg) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim2_axis0_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim2_axis0_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim2_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -12310,12 +13552,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim2_axis1,
softmax_v1_2::is_ignored_axis_relaxed_dim2_axis1,
- softmax_v1_2::examples_axis_relaxed_dim2_axis1);
+ softmax_v1_2::get_examples_axis_relaxed_dim2_axis1());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim2_axis1) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim2_axis1();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim2_axis1);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim2_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -12325,12 +13567,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim2_axis1_neg,
softmax_v1_2::is_ignored_axis_relaxed_dim2_axis1_neg,
- softmax_v1_2::examples_axis_relaxed_dim2_axis1_neg);
+ softmax_v1_2::get_examples_axis_relaxed_dim2_axis1_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim2_axis1_neg) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim2_axis1_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim2_axis1_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim2_axis1_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -12340,12 +13582,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim1_axis0,
softmax_v1_2::is_ignored_axis_relaxed_dim1_axis0,
- softmax_v1_2::examples_axis_relaxed_dim1_axis0);
+ softmax_v1_2::get_examples_axis_relaxed_dim1_axis0());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim1_axis0) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim1_axis0();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim1_axis0);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim1_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -12355,12 +13597,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim1_axis0_neg,
softmax_v1_2::is_ignored_axis_relaxed_dim1_axis0_neg,
- softmax_v1_2::examples_axis_relaxed_dim1_axis0_neg);
+ softmax_v1_2::get_examples_axis_relaxed_dim1_axis0_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim1_axis0_neg) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim1_axis0_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim1_axis0_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim1_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -12370,12 +13612,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim4_axis0,
softmax_v1_2::is_ignored_axis_float16_dim4_axis0,
- softmax_v1_2::examples_axis_float16_dim4_axis0);
+ softmax_v1_2::get_examples_axis_float16_dim4_axis0());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim4_axis0) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim4_axis0();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim4_axis0);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim4_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -12385,12 +13627,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim4_axis0_neg,
softmax_v1_2::is_ignored_axis_float16_dim4_axis0_neg,
- softmax_v1_2::examples_axis_float16_dim4_axis0_neg);
+ softmax_v1_2::get_examples_axis_float16_dim4_axis0_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim4_axis0_neg) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim4_axis0_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim4_axis0_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim4_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -12400,12 +13642,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim4_axis1,
softmax_v1_2::is_ignored_axis_float16_dim4_axis1,
- softmax_v1_2::examples_axis_float16_dim4_axis1);
+ softmax_v1_2::get_examples_axis_float16_dim4_axis1());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim4_axis1) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim4_axis1();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim4_axis1);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim4_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -12415,12 +13657,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim4_axis1_neg,
softmax_v1_2::is_ignored_axis_float16_dim4_axis1_neg,
- softmax_v1_2::examples_axis_float16_dim4_axis1_neg);
+ softmax_v1_2::get_examples_axis_float16_dim4_axis1_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim4_axis1_neg) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim4_axis1_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim4_axis1_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim4_axis1_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -12430,12 +13672,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim4_axis2,
softmax_v1_2::is_ignored_axis_float16_dim4_axis2,
- softmax_v1_2::examples_axis_float16_dim4_axis2);
+ softmax_v1_2::get_examples_axis_float16_dim4_axis2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim4_axis2) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim4_axis2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim4_axis2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim4_axis2());
validateModel(model);
validateRequests(model, requests);
}
@@ -12445,12 +13687,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim4_axis2_neg,
softmax_v1_2::is_ignored_axis_float16_dim4_axis2_neg,
- softmax_v1_2::examples_axis_float16_dim4_axis2_neg);
+ softmax_v1_2::get_examples_axis_float16_dim4_axis2_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim4_axis2_neg) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim4_axis2_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim4_axis2_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim4_axis2_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -12460,12 +13702,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim4_axis3,
softmax_v1_2::is_ignored_axis_float16_dim4_axis3,
- softmax_v1_2::examples_axis_float16_dim4_axis3);
+ softmax_v1_2::get_examples_axis_float16_dim4_axis3());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim4_axis3) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim4_axis3();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim4_axis3);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim4_axis3());
validateModel(model);
validateRequests(model, requests);
}
@@ -12475,12 +13717,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim4_axis3_neg,
softmax_v1_2::is_ignored_axis_float16_dim4_axis3_neg,
- softmax_v1_2::examples_axis_float16_dim4_axis3_neg);
+ softmax_v1_2::get_examples_axis_float16_dim4_axis3_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim4_axis3_neg) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim4_axis3_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim4_axis3_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim4_axis3_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -12490,12 +13732,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim3_axis0,
softmax_v1_2::is_ignored_axis_float16_dim3_axis0,
- softmax_v1_2::examples_axis_float16_dim3_axis0);
+ softmax_v1_2::get_examples_axis_float16_dim3_axis0());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim3_axis0) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim3_axis0();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim3_axis0);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim3_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -12505,12 +13747,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim3_axis0_neg,
softmax_v1_2::is_ignored_axis_float16_dim3_axis0_neg,
- softmax_v1_2::examples_axis_float16_dim3_axis0_neg);
+ softmax_v1_2::get_examples_axis_float16_dim3_axis0_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim3_axis0_neg) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim3_axis0_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim3_axis0_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim3_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -12520,12 +13762,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim3_axis1,
softmax_v1_2::is_ignored_axis_float16_dim3_axis1,
- softmax_v1_2::examples_axis_float16_dim3_axis1);
+ softmax_v1_2::get_examples_axis_float16_dim3_axis1());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim3_axis1) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim3_axis1();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim3_axis1);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim3_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -12535,12 +13777,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim3_axis1_neg,
softmax_v1_2::is_ignored_axis_float16_dim3_axis1_neg,
- softmax_v1_2::examples_axis_float16_dim3_axis1_neg);
+ softmax_v1_2::get_examples_axis_float16_dim3_axis1_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim3_axis1_neg) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim3_axis1_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim3_axis1_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim3_axis1_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -12550,12 +13792,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim3_axis2,
softmax_v1_2::is_ignored_axis_float16_dim3_axis2,
- softmax_v1_2::examples_axis_float16_dim3_axis2);
+ softmax_v1_2::get_examples_axis_float16_dim3_axis2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim3_axis2) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim3_axis2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim3_axis2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim3_axis2());
validateModel(model);
validateRequests(model, requests);
}
@@ -12565,12 +13807,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim3_axis2_neg,
softmax_v1_2::is_ignored_axis_float16_dim3_axis2_neg,
- softmax_v1_2::examples_axis_float16_dim3_axis2_neg);
+ softmax_v1_2::get_examples_axis_float16_dim3_axis2_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim3_axis2_neg) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim3_axis2_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim3_axis2_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim3_axis2_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -12580,12 +13822,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim2_axis0,
softmax_v1_2::is_ignored_axis_float16_dim2_axis0,
- softmax_v1_2::examples_axis_float16_dim2_axis0);
+ softmax_v1_2::get_examples_axis_float16_dim2_axis0());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim2_axis0) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim2_axis0();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim2_axis0);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim2_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -12595,12 +13837,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim2_axis0_neg,
softmax_v1_2::is_ignored_axis_float16_dim2_axis0_neg,
- softmax_v1_2::examples_axis_float16_dim2_axis0_neg);
+ softmax_v1_2::get_examples_axis_float16_dim2_axis0_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim2_axis0_neg) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim2_axis0_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim2_axis0_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim2_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -12610,12 +13852,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim2_axis1,
softmax_v1_2::is_ignored_axis_float16_dim2_axis1,
- softmax_v1_2::examples_axis_float16_dim2_axis1);
+ softmax_v1_2::get_examples_axis_float16_dim2_axis1());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim2_axis1) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim2_axis1();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim2_axis1);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim2_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -12625,12 +13867,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim2_axis1_neg,
softmax_v1_2::is_ignored_axis_float16_dim2_axis1_neg,
- softmax_v1_2::examples_axis_float16_dim2_axis1_neg);
+ softmax_v1_2::get_examples_axis_float16_dim2_axis1_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim2_axis1_neg) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim2_axis1_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim2_axis1_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim2_axis1_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -12640,12 +13882,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim1_axis0,
softmax_v1_2::is_ignored_axis_float16_dim1_axis0,
- softmax_v1_2::examples_axis_float16_dim1_axis0);
+ softmax_v1_2::get_examples_axis_float16_dim1_axis0());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim1_axis0) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim1_axis0();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim1_axis0);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim1_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -12655,12 +13897,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim1_axis0_neg,
softmax_v1_2::is_ignored_axis_float16_dim1_axis0_neg,
- softmax_v1_2::examples_axis_float16_dim1_axis0_neg);
+ softmax_v1_2::get_examples_axis_float16_dim1_axis0_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim1_axis0_neg) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim1_axis0_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim1_axis0_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim1_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -12670,12 +13912,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim4_axis0,
softmax_v1_2::is_ignored_axis_quant8_dim4_axis0,
- softmax_v1_2::examples_axis_quant8_dim4_axis0);
+ softmax_v1_2::get_examples_axis_quant8_dim4_axis0());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim4_axis0) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim4_axis0();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim4_axis0);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim4_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -12685,12 +13927,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim4_axis0_neg,
softmax_v1_2::is_ignored_axis_quant8_dim4_axis0_neg,
- softmax_v1_2::examples_axis_quant8_dim4_axis0_neg);
+ softmax_v1_2::get_examples_axis_quant8_dim4_axis0_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim4_axis0_neg) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim4_axis0_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim4_axis0_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim4_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -12700,12 +13942,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim4_axis1,
softmax_v1_2::is_ignored_axis_quant8_dim4_axis1,
- softmax_v1_2::examples_axis_quant8_dim4_axis1);
+ softmax_v1_2::get_examples_axis_quant8_dim4_axis1());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim4_axis1) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim4_axis1();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim4_axis1);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim4_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -12715,12 +13957,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim4_axis1_neg,
softmax_v1_2::is_ignored_axis_quant8_dim4_axis1_neg,
- softmax_v1_2::examples_axis_quant8_dim4_axis1_neg);
+ softmax_v1_2::get_examples_axis_quant8_dim4_axis1_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim4_axis1_neg) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim4_axis1_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim4_axis1_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim4_axis1_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -12730,12 +13972,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim4_axis2,
softmax_v1_2::is_ignored_axis_quant8_dim4_axis2,
- softmax_v1_2::examples_axis_quant8_dim4_axis2);
+ softmax_v1_2::get_examples_axis_quant8_dim4_axis2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim4_axis2) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim4_axis2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim4_axis2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim4_axis2());
validateModel(model);
validateRequests(model, requests);
}
@@ -12745,12 +13987,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim4_axis2_neg,
softmax_v1_2::is_ignored_axis_quant8_dim4_axis2_neg,
- softmax_v1_2::examples_axis_quant8_dim4_axis2_neg);
+ softmax_v1_2::get_examples_axis_quant8_dim4_axis2_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim4_axis2_neg) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim4_axis2_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim4_axis2_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim4_axis2_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -12760,12 +14002,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim4_axis3,
softmax_v1_2::is_ignored_axis_quant8_dim4_axis3,
- softmax_v1_2::examples_axis_quant8_dim4_axis3);
+ softmax_v1_2::get_examples_axis_quant8_dim4_axis3());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim4_axis3) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim4_axis3();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim4_axis3);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim4_axis3());
validateModel(model);
validateRequests(model, requests);
}
@@ -12775,12 +14017,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim4_axis3_neg,
softmax_v1_2::is_ignored_axis_quant8_dim4_axis3_neg,
- softmax_v1_2::examples_axis_quant8_dim4_axis3_neg);
+ softmax_v1_2::get_examples_axis_quant8_dim4_axis3_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim4_axis3_neg) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim4_axis3_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim4_axis3_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim4_axis3_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -12790,12 +14032,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim3_axis0,
softmax_v1_2::is_ignored_axis_quant8_dim3_axis0,
- softmax_v1_2::examples_axis_quant8_dim3_axis0);
+ softmax_v1_2::get_examples_axis_quant8_dim3_axis0());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim3_axis0) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim3_axis0();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim3_axis0);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim3_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -12805,12 +14047,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim3_axis0_neg,
softmax_v1_2::is_ignored_axis_quant8_dim3_axis0_neg,
- softmax_v1_2::examples_axis_quant8_dim3_axis0_neg);
+ softmax_v1_2::get_examples_axis_quant8_dim3_axis0_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim3_axis0_neg) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim3_axis0_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim3_axis0_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim3_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -12820,12 +14062,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim3_axis1,
softmax_v1_2::is_ignored_axis_quant8_dim3_axis1,
- softmax_v1_2::examples_axis_quant8_dim3_axis1);
+ softmax_v1_2::get_examples_axis_quant8_dim3_axis1());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim3_axis1) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim3_axis1();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim3_axis1);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim3_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -12835,12 +14077,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim3_axis1_neg,
softmax_v1_2::is_ignored_axis_quant8_dim3_axis1_neg,
- softmax_v1_2::examples_axis_quant8_dim3_axis1_neg);
+ softmax_v1_2::get_examples_axis_quant8_dim3_axis1_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim3_axis1_neg) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim3_axis1_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim3_axis1_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim3_axis1_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -12850,12 +14092,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim3_axis2,
softmax_v1_2::is_ignored_axis_quant8_dim3_axis2,
- softmax_v1_2::examples_axis_quant8_dim3_axis2);
+ softmax_v1_2::get_examples_axis_quant8_dim3_axis2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim3_axis2) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim3_axis2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim3_axis2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim3_axis2());
validateModel(model);
validateRequests(model, requests);
}
@@ -12865,12 +14107,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim3_axis2_neg,
softmax_v1_2::is_ignored_axis_quant8_dim3_axis2_neg,
- softmax_v1_2::examples_axis_quant8_dim3_axis2_neg);
+ softmax_v1_2::get_examples_axis_quant8_dim3_axis2_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim3_axis2_neg) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim3_axis2_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim3_axis2_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim3_axis2_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -12880,12 +14122,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim2_axis0,
softmax_v1_2::is_ignored_axis_quant8_dim2_axis0,
- softmax_v1_2::examples_axis_quant8_dim2_axis0);
+ softmax_v1_2::get_examples_axis_quant8_dim2_axis0());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim2_axis0) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim2_axis0();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim2_axis0);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim2_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -12895,12 +14137,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim2_axis0_neg,
softmax_v1_2::is_ignored_axis_quant8_dim2_axis0_neg,
- softmax_v1_2::examples_axis_quant8_dim2_axis0_neg);
+ softmax_v1_2::get_examples_axis_quant8_dim2_axis0_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim2_axis0_neg) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim2_axis0_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim2_axis0_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim2_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -12910,12 +14152,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim2_axis1,
softmax_v1_2::is_ignored_axis_quant8_dim2_axis1,
- softmax_v1_2::examples_axis_quant8_dim2_axis1);
+ softmax_v1_2::get_examples_axis_quant8_dim2_axis1());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim2_axis1) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim2_axis1();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim2_axis1);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim2_axis1());
validateModel(model);
validateRequests(model, requests);
}
@@ -12925,12 +14167,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim2_axis1_neg,
softmax_v1_2::is_ignored_axis_quant8_dim2_axis1_neg,
- softmax_v1_2::examples_axis_quant8_dim2_axis1_neg);
+ softmax_v1_2::get_examples_axis_quant8_dim2_axis1_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim2_axis1_neg) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim2_axis1_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim2_axis1_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim2_axis1_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -12940,12 +14182,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim1_axis0,
softmax_v1_2::is_ignored_axis_quant8_dim1_axis0,
- softmax_v1_2::examples_axis_quant8_dim1_axis0);
+ softmax_v1_2::get_examples_axis_quant8_dim1_axis0());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim1_axis0) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim1_axis0();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim1_axis0);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim1_axis0());
validateModel(model);
validateRequests(model, requests);
}
@@ -12955,12 +14197,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim1_axis0_neg,
softmax_v1_2::is_ignored_axis_quant8_dim1_axis0_neg,
- softmax_v1_2::examples_axis_quant8_dim1_axis0_neg);
+ softmax_v1_2::get_examples_axis_quant8_dim1_axis0_neg());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim1_axis0_neg) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim1_axis0_neg();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim1_axis0_neg);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim1_axis0_neg());
validateModel(model);
validateRequests(model, requests);
}
@@ -12970,12 +14212,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim4_axis0_2,
softmax_v1_2::is_ignored_axis_dim4_axis0_2,
- softmax_v1_2::examples_axis_dim4_axis0_2);
+ softmax_v1_2::get_examples_axis_dim4_axis0_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim4_axis0_2) {
const Model model = softmax_v1_2::createTestModel_axis_dim4_axis0_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim4_axis0_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim4_axis0_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -12985,12 +14227,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim4_axis0_neg_2,
softmax_v1_2::is_ignored_axis_dim4_axis0_neg_2,
- softmax_v1_2::examples_axis_dim4_axis0_neg_2);
+ softmax_v1_2::get_examples_axis_dim4_axis0_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim4_axis0_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_dim4_axis0_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim4_axis0_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim4_axis0_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13000,12 +14242,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim4_axis1_2,
softmax_v1_2::is_ignored_axis_dim4_axis1_2,
- softmax_v1_2::examples_axis_dim4_axis1_2);
+ softmax_v1_2::get_examples_axis_dim4_axis1_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim4_axis1_2) {
const Model model = softmax_v1_2::createTestModel_axis_dim4_axis1_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim4_axis1_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim4_axis1_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13015,12 +14257,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim4_axis1_neg_2,
softmax_v1_2::is_ignored_axis_dim4_axis1_neg_2,
- softmax_v1_2::examples_axis_dim4_axis1_neg_2);
+ softmax_v1_2::get_examples_axis_dim4_axis1_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim4_axis1_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_dim4_axis1_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim4_axis1_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim4_axis1_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13030,12 +14272,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim4_axis2_2,
softmax_v1_2::is_ignored_axis_dim4_axis2_2,
- softmax_v1_2::examples_axis_dim4_axis2_2);
+ softmax_v1_2::get_examples_axis_dim4_axis2_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim4_axis2_2) {
const Model model = softmax_v1_2::createTestModel_axis_dim4_axis2_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim4_axis2_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim4_axis2_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13045,12 +14287,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim4_axis2_neg_2,
softmax_v1_2::is_ignored_axis_dim4_axis2_neg_2,
- softmax_v1_2::examples_axis_dim4_axis2_neg_2);
+ softmax_v1_2::get_examples_axis_dim4_axis2_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim4_axis2_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_dim4_axis2_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim4_axis2_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim4_axis2_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13060,12 +14302,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim4_axis3_2,
softmax_v1_2::is_ignored_axis_dim4_axis3_2,
- softmax_v1_2::examples_axis_dim4_axis3_2);
+ softmax_v1_2::get_examples_axis_dim4_axis3_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim4_axis3_2) {
const Model model = softmax_v1_2::createTestModel_axis_dim4_axis3_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim4_axis3_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim4_axis3_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13075,12 +14317,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim4_axis3_neg_2,
softmax_v1_2::is_ignored_axis_dim4_axis3_neg_2,
- softmax_v1_2::examples_axis_dim4_axis3_neg_2);
+ softmax_v1_2::get_examples_axis_dim4_axis3_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim4_axis3_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_dim4_axis3_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim4_axis3_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim4_axis3_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13090,12 +14332,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim3_axis0_2,
softmax_v1_2::is_ignored_axis_dim3_axis0_2,
- softmax_v1_2::examples_axis_dim3_axis0_2);
+ softmax_v1_2::get_examples_axis_dim3_axis0_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim3_axis0_2) {
const Model model = softmax_v1_2::createTestModel_axis_dim3_axis0_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim3_axis0_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim3_axis0_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13105,12 +14347,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim3_axis0_neg_2,
softmax_v1_2::is_ignored_axis_dim3_axis0_neg_2,
- softmax_v1_2::examples_axis_dim3_axis0_neg_2);
+ softmax_v1_2::get_examples_axis_dim3_axis0_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim3_axis0_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_dim3_axis0_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim3_axis0_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim3_axis0_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13120,12 +14362,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim3_axis1_2,
softmax_v1_2::is_ignored_axis_dim3_axis1_2,
- softmax_v1_2::examples_axis_dim3_axis1_2);
+ softmax_v1_2::get_examples_axis_dim3_axis1_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim3_axis1_2) {
const Model model = softmax_v1_2::createTestModel_axis_dim3_axis1_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim3_axis1_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim3_axis1_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13135,12 +14377,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim3_axis1_neg_2,
softmax_v1_2::is_ignored_axis_dim3_axis1_neg_2,
- softmax_v1_2::examples_axis_dim3_axis1_neg_2);
+ softmax_v1_2::get_examples_axis_dim3_axis1_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim3_axis1_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_dim3_axis1_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim3_axis1_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim3_axis1_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13150,12 +14392,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim3_axis2_2,
softmax_v1_2::is_ignored_axis_dim3_axis2_2,
- softmax_v1_2::examples_axis_dim3_axis2_2);
+ softmax_v1_2::get_examples_axis_dim3_axis2_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim3_axis2_2) {
const Model model = softmax_v1_2::createTestModel_axis_dim3_axis2_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim3_axis2_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim3_axis2_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13165,12 +14407,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim3_axis2_neg_2,
softmax_v1_2::is_ignored_axis_dim3_axis2_neg_2,
- softmax_v1_2::examples_axis_dim3_axis2_neg_2);
+ softmax_v1_2::get_examples_axis_dim3_axis2_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim3_axis2_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_dim3_axis2_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim3_axis2_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim3_axis2_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13180,12 +14422,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim2_axis0_2,
softmax_v1_2::is_ignored_axis_dim2_axis0_2,
- softmax_v1_2::examples_axis_dim2_axis0_2);
+ softmax_v1_2::get_examples_axis_dim2_axis0_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim2_axis0_2) {
const Model model = softmax_v1_2::createTestModel_axis_dim2_axis0_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim2_axis0_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim2_axis0_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13195,12 +14437,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim2_axis0_neg_2,
softmax_v1_2::is_ignored_axis_dim2_axis0_neg_2,
- softmax_v1_2::examples_axis_dim2_axis0_neg_2);
+ softmax_v1_2::get_examples_axis_dim2_axis0_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim2_axis0_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_dim2_axis0_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim2_axis0_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim2_axis0_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13210,12 +14452,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim2_axis1_2,
softmax_v1_2::is_ignored_axis_dim2_axis1_2,
- softmax_v1_2::examples_axis_dim2_axis1_2);
+ softmax_v1_2::get_examples_axis_dim2_axis1_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim2_axis1_2) {
const Model model = softmax_v1_2::createTestModel_axis_dim2_axis1_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim2_axis1_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim2_axis1_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13225,12 +14467,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim2_axis1_neg_2,
softmax_v1_2::is_ignored_axis_dim2_axis1_neg_2,
- softmax_v1_2::examples_axis_dim2_axis1_neg_2);
+ softmax_v1_2::get_examples_axis_dim2_axis1_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim2_axis1_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_dim2_axis1_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim2_axis1_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim2_axis1_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13240,12 +14482,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim1_axis0_2,
softmax_v1_2::is_ignored_axis_dim1_axis0_2,
- softmax_v1_2::examples_axis_dim1_axis0_2);
+ softmax_v1_2::get_examples_axis_dim1_axis0_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim1_axis0_2) {
const Model model = softmax_v1_2::createTestModel_axis_dim1_axis0_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim1_axis0_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim1_axis0_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13255,12 +14497,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_dim1_axis0_neg_2,
softmax_v1_2::is_ignored_axis_dim1_axis0_neg_2,
- softmax_v1_2::examples_axis_dim1_axis0_neg_2);
+ softmax_v1_2::get_examples_axis_dim1_axis0_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_dim1_axis0_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_dim1_axis0_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_dim1_axis0_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_dim1_axis0_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13270,12 +14512,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim4_axis0_2,
softmax_v1_2::is_ignored_axis_relaxed_dim4_axis0_2,
- softmax_v1_2::examples_axis_relaxed_dim4_axis0_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim4_axis0_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim4_axis0_2) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim4_axis0_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim4_axis0_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim4_axis0_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13285,12 +14527,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim4_axis0_neg_2,
softmax_v1_2::is_ignored_axis_relaxed_dim4_axis0_neg_2,
- softmax_v1_2::examples_axis_relaxed_dim4_axis0_neg_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim4_axis0_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim4_axis0_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim4_axis0_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim4_axis0_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim4_axis0_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13300,12 +14542,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim4_axis1_2,
softmax_v1_2::is_ignored_axis_relaxed_dim4_axis1_2,
- softmax_v1_2::examples_axis_relaxed_dim4_axis1_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim4_axis1_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim4_axis1_2) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim4_axis1_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim4_axis1_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim4_axis1_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13315,12 +14557,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim4_axis1_neg_2,
softmax_v1_2::is_ignored_axis_relaxed_dim4_axis1_neg_2,
- softmax_v1_2::examples_axis_relaxed_dim4_axis1_neg_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim4_axis1_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim4_axis1_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim4_axis1_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim4_axis1_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim4_axis1_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13330,12 +14572,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim4_axis2_2,
softmax_v1_2::is_ignored_axis_relaxed_dim4_axis2_2,
- softmax_v1_2::examples_axis_relaxed_dim4_axis2_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim4_axis2_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim4_axis2_2) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim4_axis2_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim4_axis2_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim4_axis2_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13345,12 +14587,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim4_axis2_neg_2,
softmax_v1_2::is_ignored_axis_relaxed_dim4_axis2_neg_2,
- softmax_v1_2::examples_axis_relaxed_dim4_axis2_neg_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim4_axis2_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim4_axis2_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim4_axis2_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim4_axis2_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim4_axis2_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13360,12 +14602,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim4_axis3_2,
softmax_v1_2::is_ignored_axis_relaxed_dim4_axis3_2,
- softmax_v1_2::examples_axis_relaxed_dim4_axis3_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim4_axis3_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim4_axis3_2) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim4_axis3_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim4_axis3_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim4_axis3_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13375,12 +14617,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim4_axis3_neg_2,
softmax_v1_2::is_ignored_axis_relaxed_dim4_axis3_neg_2,
- softmax_v1_2::examples_axis_relaxed_dim4_axis3_neg_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim4_axis3_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim4_axis3_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim4_axis3_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim4_axis3_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim4_axis3_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13390,12 +14632,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim3_axis0_2,
softmax_v1_2::is_ignored_axis_relaxed_dim3_axis0_2,
- softmax_v1_2::examples_axis_relaxed_dim3_axis0_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim3_axis0_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim3_axis0_2) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim3_axis0_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim3_axis0_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim3_axis0_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13405,12 +14647,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim3_axis0_neg_2,
softmax_v1_2::is_ignored_axis_relaxed_dim3_axis0_neg_2,
- softmax_v1_2::examples_axis_relaxed_dim3_axis0_neg_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim3_axis0_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim3_axis0_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim3_axis0_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim3_axis0_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim3_axis0_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13420,12 +14662,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim3_axis1_2,
softmax_v1_2::is_ignored_axis_relaxed_dim3_axis1_2,
- softmax_v1_2::examples_axis_relaxed_dim3_axis1_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim3_axis1_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim3_axis1_2) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim3_axis1_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim3_axis1_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim3_axis1_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13435,12 +14677,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim3_axis1_neg_2,
softmax_v1_2::is_ignored_axis_relaxed_dim3_axis1_neg_2,
- softmax_v1_2::examples_axis_relaxed_dim3_axis1_neg_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim3_axis1_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim3_axis1_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim3_axis1_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim3_axis1_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim3_axis1_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13450,12 +14692,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim3_axis2_2,
softmax_v1_2::is_ignored_axis_relaxed_dim3_axis2_2,
- softmax_v1_2::examples_axis_relaxed_dim3_axis2_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim3_axis2_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim3_axis2_2) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim3_axis2_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim3_axis2_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim3_axis2_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13465,12 +14707,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim3_axis2_neg_2,
softmax_v1_2::is_ignored_axis_relaxed_dim3_axis2_neg_2,
- softmax_v1_2::examples_axis_relaxed_dim3_axis2_neg_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim3_axis2_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim3_axis2_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim3_axis2_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim3_axis2_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim3_axis2_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13480,12 +14722,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim2_axis0_2,
softmax_v1_2::is_ignored_axis_relaxed_dim2_axis0_2,
- softmax_v1_2::examples_axis_relaxed_dim2_axis0_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim2_axis0_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim2_axis0_2) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim2_axis0_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim2_axis0_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim2_axis0_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13495,12 +14737,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim2_axis0_neg_2,
softmax_v1_2::is_ignored_axis_relaxed_dim2_axis0_neg_2,
- softmax_v1_2::examples_axis_relaxed_dim2_axis0_neg_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim2_axis0_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim2_axis0_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim2_axis0_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim2_axis0_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim2_axis0_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13510,12 +14752,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim2_axis1_2,
softmax_v1_2::is_ignored_axis_relaxed_dim2_axis1_2,
- softmax_v1_2::examples_axis_relaxed_dim2_axis1_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim2_axis1_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim2_axis1_2) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim2_axis1_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim2_axis1_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim2_axis1_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13525,12 +14767,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim2_axis1_neg_2,
softmax_v1_2::is_ignored_axis_relaxed_dim2_axis1_neg_2,
- softmax_v1_2::examples_axis_relaxed_dim2_axis1_neg_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim2_axis1_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim2_axis1_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim2_axis1_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim2_axis1_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim2_axis1_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13540,12 +14782,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim1_axis0_2,
softmax_v1_2::is_ignored_axis_relaxed_dim1_axis0_2,
- softmax_v1_2::examples_axis_relaxed_dim1_axis0_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim1_axis0_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim1_axis0_2) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim1_axis0_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim1_axis0_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim1_axis0_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13555,12 +14797,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_relaxed_dim1_axis0_neg_2,
softmax_v1_2::is_ignored_axis_relaxed_dim1_axis0_neg_2,
- softmax_v1_2::examples_axis_relaxed_dim1_axis0_neg_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim1_axis0_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_relaxed_dim1_axis0_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_relaxed_dim1_axis0_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_relaxed_dim1_axis0_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_relaxed_dim1_axis0_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13570,12 +14812,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim4_axis0_2,
softmax_v1_2::is_ignored_axis_float16_dim4_axis0_2,
- softmax_v1_2::examples_axis_float16_dim4_axis0_2);
+ softmax_v1_2::get_examples_axis_float16_dim4_axis0_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim4_axis0_2) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim4_axis0_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim4_axis0_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim4_axis0_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13585,12 +14827,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim4_axis0_neg_2,
softmax_v1_2::is_ignored_axis_float16_dim4_axis0_neg_2,
- softmax_v1_2::examples_axis_float16_dim4_axis0_neg_2);
+ softmax_v1_2::get_examples_axis_float16_dim4_axis0_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim4_axis0_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim4_axis0_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim4_axis0_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim4_axis0_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13600,12 +14842,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim4_axis1_2,
softmax_v1_2::is_ignored_axis_float16_dim4_axis1_2,
- softmax_v1_2::examples_axis_float16_dim4_axis1_2);
+ softmax_v1_2::get_examples_axis_float16_dim4_axis1_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim4_axis1_2) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim4_axis1_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim4_axis1_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim4_axis1_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13615,12 +14857,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim4_axis1_neg_2,
softmax_v1_2::is_ignored_axis_float16_dim4_axis1_neg_2,
- softmax_v1_2::examples_axis_float16_dim4_axis1_neg_2);
+ softmax_v1_2::get_examples_axis_float16_dim4_axis1_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim4_axis1_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim4_axis1_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim4_axis1_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim4_axis1_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13630,12 +14872,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim4_axis2_2,
softmax_v1_2::is_ignored_axis_float16_dim4_axis2_2,
- softmax_v1_2::examples_axis_float16_dim4_axis2_2);
+ softmax_v1_2::get_examples_axis_float16_dim4_axis2_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim4_axis2_2) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim4_axis2_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim4_axis2_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim4_axis2_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13645,12 +14887,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim4_axis2_neg_2,
softmax_v1_2::is_ignored_axis_float16_dim4_axis2_neg_2,
- softmax_v1_2::examples_axis_float16_dim4_axis2_neg_2);
+ softmax_v1_2::get_examples_axis_float16_dim4_axis2_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim4_axis2_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim4_axis2_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim4_axis2_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim4_axis2_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13660,12 +14902,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim4_axis3_2,
softmax_v1_2::is_ignored_axis_float16_dim4_axis3_2,
- softmax_v1_2::examples_axis_float16_dim4_axis3_2);
+ softmax_v1_2::get_examples_axis_float16_dim4_axis3_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim4_axis3_2) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim4_axis3_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim4_axis3_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim4_axis3_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13675,12 +14917,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim4_axis3_neg_2,
softmax_v1_2::is_ignored_axis_float16_dim4_axis3_neg_2,
- softmax_v1_2::examples_axis_float16_dim4_axis3_neg_2);
+ softmax_v1_2::get_examples_axis_float16_dim4_axis3_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim4_axis3_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim4_axis3_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim4_axis3_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim4_axis3_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13690,12 +14932,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim3_axis0_2,
softmax_v1_2::is_ignored_axis_float16_dim3_axis0_2,
- softmax_v1_2::examples_axis_float16_dim3_axis0_2);
+ softmax_v1_2::get_examples_axis_float16_dim3_axis0_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim3_axis0_2) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim3_axis0_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim3_axis0_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim3_axis0_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13705,12 +14947,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim3_axis0_neg_2,
softmax_v1_2::is_ignored_axis_float16_dim3_axis0_neg_2,
- softmax_v1_2::examples_axis_float16_dim3_axis0_neg_2);
+ softmax_v1_2::get_examples_axis_float16_dim3_axis0_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim3_axis0_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim3_axis0_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim3_axis0_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim3_axis0_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13720,12 +14962,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim3_axis1_2,
softmax_v1_2::is_ignored_axis_float16_dim3_axis1_2,
- softmax_v1_2::examples_axis_float16_dim3_axis1_2);
+ softmax_v1_2::get_examples_axis_float16_dim3_axis1_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim3_axis1_2) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim3_axis1_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim3_axis1_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim3_axis1_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13735,12 +14977,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim3_axis1_neg_2,
softmax_v1_2::is_ignored_axis_float16_dim3_axis1_neg_2,
- softmax_v1_2::examples_axis_float16_dim3_axis1_neg_2);
+ softmax_v1_2::get_examples_axis_float16_dim3_axis1_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim3_axis1_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim3_axis1_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim3_axis1_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim3_axis1_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13750,12 +14992,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim3_axis2_2,
softmax_v1_2::is_ignored_axis_float16_dim3_axis2_2,
- softmax_v1_2::examples_axis_float16_dim3_axis2_2);
+ softmax_v1_2::get_examples_axis_float16_dim3_axis2_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim3_axis2_2) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim3_axis2_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim3_axis2_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim3_axis2_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13765,12 +15007,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim3_axis2_neg_2,
softmax_v1_2::is_ignored_axis_float16_dim3_axis2_neg_2,
- softmax_v1_2::examples_axis_float16_dim3_axis2_neg_2);
+ softmax_v1_2::get_examples_axis_float16_dim3_axis2_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim3_axis2_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim3_axis2_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim3_axis2_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim3_axis2_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13780,12 +15022,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim2_axis0_2,
softmax_v1_2::is_ignored_axis_float16_dim2_axis0_2,
- softmax_v1_2::examples_axis_float16_dim2_axis0_2);
+ softmax_v1_2::get_examples_axis_float16_dim2_axis0_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim2_axis0_2) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim2_axis0_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim2_axis0_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim2_axis0_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13795,12 +15037,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim2_axis0_neg_2,
softmax_v1_2::is_ignored_axis_float16_dim2_axis0_neg_2,
- softmax_v1_2::examples_axis_float16_dim2_axis0_neg_2);
+ softmax_v1_2::get_examples_axis_float16_dim2_axis0_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim2_axis0_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim2_axis0_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim2_axis0_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim2_axis0_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13810,12 +15052,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim2_axis1_2,
softmax_v1_2::is_ignored_axis_float16_dim2_axis1_2,
- softmax_v1_2::examples_axis_float16_dim2_axis1_2);
+ softmax_v1_2::get_examples_axis_float16_dim2_axis1_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim2_axis1_2) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim2_axis1_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim2_axis1_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim2_axis1_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13825,12 +15067,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim2_axis1_neg_2,
softmax_v1_2::is_ignored_axis_float16_dim2_axis1_neg_2,
- softmax_v1_2::examples_axis_float16_dim2_axis1_neg_2);
+ softmax_v1_2::get_examples_axis_float16_dim2_axis1_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim2_axis1_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim2_axis1_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim2_axis1_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim2_axis1_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13840,12 +15082,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim1_axis0_2,
softmax_v1_2::is_ignored_axis_float16_dim1_axis0_2,
- softmax_v1_2::examples_axis_float16_dim1_axis0_2);
+ softmax_v1_2::get_examples_axis_float16_dim1_axis0_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim1_axis0_2) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim1_axis0_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim1_axis0_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim1_axis0_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13855,12 +15097,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_float16_dim1_axis0_neg_2,
softmax_v1_2::is_ignored_axis_float16_dim1_axis0_neg_2,
- softmax_v1_2::examples_axis_float16_dim1_axis0_neg_2);
+ softmax_v1_2::get_examples_axis_float16_dim1_axis0_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_float16_dim1_axis0_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_float16_dim1_axis0_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_float16_dim1_axis0_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_float16_dim1_axis0_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13870,12 +15112,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim4_axis0_2,
softmax_v1_2::is_ignored_axis_quant8_dim4_axis0_2,
- softmax_v1_2::examples_axis_quant8_dim4_axis0_2);
+ softmax_v1_2::get_examples_axis_quant8_dim4_axis0_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim4_axis0_2) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim4_axis0_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim4_axis0_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim4_axis0_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13885,12 +15127,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim4_axis0_neg_2,
softmax_v1_2::is_ignored_axis_quant8_dim4_axis0_neg_2,
- softmax_v1_2::examples_axis_quant8_dim4_axis0_neg_2);
+ softmax_v1_2::get_examples_axis_quant8_dim4_axis0_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim4_axis0_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim4_axis0_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim4_axis0_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim4_axis0_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13900,12 +15142,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim4_axis1_2,
softmax_v1_2::is_ignored_axis_quant8_dim4_axis1_2,
- softmax_v1_2::examples_axis_quant8_dim4_axis1_2);
+ softmax_v1_2::get_examples_axis_quant8_dim4_axis1_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim4_axis1_2) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim4_axis1_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim4_axis1_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim4_axis1_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13915,12 +15157,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim4_axis1_neg_2,
softmax_v1_2::is_ignored_axis_quant8_dim4_axis1_neg_2,
- softmax_v1_2::examples_axis_quant8_dim4_axis1_neg_2);
+ softmax_v1_2::get_examples_axis_quant8_dim4_axis1_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim4_axis1_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim4_axis1_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim4_axis1_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim4_axis1_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13930,12 +15172,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim4_axis2_2,
softmax_v1_2::is_ignored_axis_quant8_dim4_axis2_2,
- softmax_v1_2::examples_axis_quant8_dim4_axis2_2);
+ softmax_v1_2::get_examples_axis_quant8_dim4_axis2_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim4_axis2_2) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim4_axis2_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim4_axis2_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim4_axis2_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13945,12 +15187,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim4_axis2_neg_2,
softmax_v1_2::is_ignored_axis_quant8_dim4_axis2_neg_2,
- softmax_v1_2::examples_axis_quant8_dim4_axis2_neg_2);
+ softmax_v1_2::get_examples_axis_quant8_dim4_axis2_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim4_axis2_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim4_axis2_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim4_axis2_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim4_axis2_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13960,12 +15202,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim4_axis3_2,
softmax_v1_2::is_ignored_axis_quant8_dim4_axis3_2,
- softmax_v1_2::examples_axis_quant8_dim4_axis3_2);
+ softmax_v1_2::get_examples_axis_quant8_dim4_axis3_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim4_axis3_2) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim4_axis3_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim4_axis3_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim4_axis3_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13975,12 +15217,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim4_axis3_neg_2,
softmax_v1_2::is_ignored_axis_quant8_dim4_axis3_neg_2,
- softmax_v1_2::examples_axis_quant8_dim4_axis3_neg_2);
+ softmax_v1_2::get_examples_axis_quant8_dim4_axis3_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim4_axis3_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim4_axis3_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim4_axis3_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim4_axis3_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -13990,12 +15232,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim3_axis0_2,
softmax_v1_2::is_ignored_axis_quant8_dim3_axis0_2,
- softmax_v1_2::examples_axis_quant8_dim3_axis0_2);
+ softmax_v1_2::get_examples_axis_quant8_dim3_axis0_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim3_axis0_2) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim3_axis0_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim3_axis0_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim3_axis0_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -14005,12 +15247,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim3_axis0_neg_2,
softmax_v1_2::is_ignored_axis_quant8_dim3_axis0_neg_2,
- softmax_v1_2::examples_axis_quant8_dim3_axis0_neg_2);
+ softmax_v1_2::get_examples_axis_quant8_dim3_axis0_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim3_axis0_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim3_axis0_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim3_axis0_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim3_axis0_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -14020,12 +15262,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim3_axis1_2,
softmax_v1_2::is_ignored_axis_quant8_dim3_axis1_2,
- softmax_v1_2::examples_axis_quant8_dim3_axis1_2);
+ softmax_v1_2::get_examples_axis_quant8_dim3_axis1_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim3_axis1_2) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim3_axis1_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim3_axis1_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim3_axis1_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -14035,12 +15277,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim3_axis1_neg_2,
softmax_v1_2::is_ignored_axis_quant8_dim3_axis1_neg_2,
- softmax_v1_2::examples_axis_quant8_dim3_axis1_neg_2);
+ softmax_v1_2::get_examples_axis_quant8_dim3_axis1_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim3_axis1_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim3_axis1_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim3_axis1_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim3_axis1_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -14050,12 +15292,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim3_axis2_2,
softmax_v1_2::is_ignored_axis_quant8_dim3_axis2_2,
- softmax_v1_2::examples_axis_quant8_dim3_axis2_2);
+ softmax_v1_2::get_examples_axis_quant8_dim3_axis2_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim3_axis2_2) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim3_axis2_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim3_axis2_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim3_axis2_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -14065,12 +15307,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim3_axis2_neg_2,
softmax_v1_2::is_ignored_axis_quant8_dim3_axis2_neg_2,
- softmax_v1_2::examples_axis_quant8_dim3_axis2_neg_2);
+ softmax_v1_2::get_examples_axis_quant8_dim3_axis2_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim3_axis2_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim3_axis2_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim3_axis2_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim3_axis2_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -14080,12 +15322,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim2_axis0_2,
softmax_v1_2::is_ignored_axis_quant8_dim2_axis0_2,
- softmax_v1_2::examples_axis_quant8_dim2_axis0_2);
+ softmax_v1_2::get_examples_axis_quant8_dim2_axis0_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim2_axis0_2) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim2_axis0_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim2_axis0_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim2_axis0_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -14095,12 +15337,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim2_axis0_neg_2,
softmax_v1_2::is_ignored_axis_quant8_dim2_axis0_neg_2,
- softmax_v1_2::examples_axis_quant8_dim2_axis0_neg_2);
+ softmax_v1_2::get_examples_axis_quant8_dim2_axis0_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim2_axis0_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim2_axis0_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim2_axis0_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim2_axis0_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -14110,12 +15352,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim2_axis1_2,
softmax_v1_2::is_ignored_axis_quant8_dim2_axis1_2,
- softmax_v1_2::examples_axis_quant8_dim2_axis1_2);
+ softmax_v1_2::get_examples_axis_quant8_dim2_axis1_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim2_axis1_2) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim2_axis1_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim2_axis1_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim2_axis1_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -14125,12 +15367,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim2_axis1_neg_2,
softmax_v1_2::is_ignored_axis_quant8_dim2_axis1_neg_2,
- softmax_v1_2::examples_axis_quant8_dim2_axis1_neg_2);
+ softmax_v1_2::get_examples_axis_quant8_dim2_axis1_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim2_axis1_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim2_axis1_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim2_axis1_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim2_axis1_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -14140,12 +15382,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim1_axis0_2,
softmax_v1_2::is_ignored_axis_quant8_dim1_axis0_2,
- softmax_v1_2::examples_axis_quant8_dim1_axis0_2);
+ softmax_v1_2::get_examples_axis_quant8_dim1_axis0_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim1_axis0_2) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim1_axis0_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim1_axis0_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim1_axis0_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -14155,12 +15397,12 @@
generated_tests::Execute(device,
softmax_v1_2::createTestModel_axis_quant8_dim1_axis0_neg_2,
softmax_v1_2::is_ignored_axis_quant8_dim1_axis0_neg_2,
- softmax_v1_2::examples_axis_quant8_dim1_axis0_neg_2);
+ softmax_v1_2::get_examples_axis_quant8_dim1_axis0_neg_2());
}
TEST_F(ValidationTest, softmax_v1_2_axis_quant8_dim1_axis0_neg_2) {
const Model model = softmax_v1_2::createTestModel_axis_quant8_dim1_axis0_neg_2();
- const std::vector<Request> requests = createRequests(softmax_v1_2::examples_axis_quant8_dim1_axis0_neg_2);
+ const std::vector<Request> requests = createRequests(softmax_v1_2::get_examples_axis_quant8_dim1_axis0_neg_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -14178,12 +15420,12 @@
generated_tests::Execute(device,
space_to_batch_v1_2::createTestModel_nhwc,
space_to_batch_v1_2::is_ignored_nhwc,
- space_to_batch_v1_2::examples_nhwc);
+ space_to_batch_v1_2::get_examples_nhwc());
}
TEST_F(ValidationTest, space_to_batch_v1_2_nhwc) {
const Model model = space_to_batch_v1_2::createTestModel_nhwc();
- const std::vector<Request> requests = createRequests(space_to_batch_v1_2::examples_nhwc);
+ const std::vector<Request> requests = createRequests(space_to_batch_v1_2::get_examples_nhwc());
validateModel(model);
validateRequests(model, requests);
}
@@ -14193,12 +15435,27 @@
generated_tests::Execute(device,
space_to_batch_v1_2::createTestModel_nhwc_relaxed,
space_to_batch_v1_2::is_ignored_nhwc_relaxed,
- space_to_batch_v1_2::examples_nhwc_relaxed);
+ space_to_batch_v1_2::get_examples_nhwc_relaxed());
}
TEST_F(ValidationTest, space_to_batch_v1_2_nhwc_relaxed) {
const Model model = space_to_batch_v1_2::createTestModel_nhwc_relaxed();
- const std::vector<Request> requests = createRequests(space_to_batch_v1_2::examples_nhwc_relaxed);
+ const std::vector<Request> requests = createRequests(space_to_batch_v1_2::get_examples_nhwc_relaxed());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, space_to_batch_v1_2_nhwc_float16) {
+ generated_tests::Execute(device,
+ space_to_batch_v1_2::createTestModel_nhwc_float16,
+ space_to_batch_v1_2::is_ignored_nhwc_float16,
+ space_to_batch_v1_2::get_examples_nhwc_float16());
+}
+
+TEST_F(ValidationTest, space_to_batch_v1_2_nhwc_float16) {
+ const Model model = space_to_batch_v1_2::createTestModel_nhwc_float16();
+ const std::vector<Request> requests = createRequests(space_to_batch_v1_2::get_examples_nhwc_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -14208,12 +15465,12 @@
generated_tests::Execute(device,
space_to_batch_v1_2::createTestModel_nhwc_quant8,
space_to_batch_v1_2::is_ignored_nhwc_quant8,
- space_to_batch_v1_2::examples_nhwc_quant8);
+ space_to_batch_v1_2::get_examples_nhwc_quant8());
}
TEST_F(ValidationTest, space_to_batch_v1_2_nhwc_quant8) {
const Model model = space_to_batch_v1_2::createTestModel_nhwc_quant8();
- const std::vector<Request> requests = createRequests(space_to_batch_v1_2::examples_nhwc_quant8);
+ const std::vector<Request> requests = createRequests(space_to_batch_v1_2::get_examples_nhwc_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -14223,12 +15480,12 @@
generated_tests::Execute(device,
space_to_batch_v1_2::createTestModel_nchw,
space_to_batch_v1_2::is_ignored_nchw,
- space_to_batch_v1_2::examples_nchw);
+ space_to_batch_v1_2::get_examples_nchw());
}
TEST_F(ValidationTest, space_to_batch_v1_2_nchw) {
const Model model = space_to_batch_v1_2::createTestModel_nchw();
- const std::vector<Request> requests = createRequests(space_to_batch_v1_2::examples_nchw);
+ const std::vector<Request> requests = createRequests(space_to_batch_v1_2::get_examples_nchw());
validateModel(model);
validateRequests(model, requests);
}
@@ -14238,12 +15495,27 @@
generated_tests::Execute(device,
space_to_batch_v1_2::createTestModel_nchw_relaxed,
space_to_batch_v1_2::is_ignored_nchw_relaxed,
- space_to_batch_v1_2::examples_nchw_relaxed);
+ space_to_batch_v1_2::get_examples_nchw_relaxed());
}
TEST_F(ValidationTest, space_to_batch_v1_2_nchw_relaxed) {
const Model model = space_to_batch_v1_2::createTestModel_nchw_relaxed();
- const std::vector<Request> requests = createRequests(space_to_batch_v1_2::examples_nchw_relaxed);
+ const std::vector<Request> requests = createRequests(space_to_batch_v1_2::get_examples_nchw_relaxed());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, space_to_batch_v1_2_nchw_float16) {
+ generated_tests::Execute(device,
+ space_to_batch_v1_2::createTestModel_nchw_float16,
+ space_to_batch_v1_2::is_ignored_nchw_float16,
+ space_to_batch_v1_2::get_examples_nchw_float16());
+}
+
+TEST_F(ValidationTest, space_to_batch_v1_2_nchw_float16) {
+ const Model model = space_to_batch_v1_2::createTestModel_nchw_float16();
+ const std::vector<Request> requests = createRequests(space_to_batch_v1_2::get_examples_nchw_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -14253,12 +15525,12 @@
generated_tests::Execute(device,
space_to_batch_v1_2::createTestModel_nchw_quant8,
space_to_batch_v1_2::is_ignored_nchw_quant8,
- space_to_batch_v1_2::examples_nchw_quant8);
+ space_to_batch_v1_2::get_examples_nchw_quant8());
}
TEST_F(ValidationTest, space_to_batch_v1_2_nchw_quant8) {
const Model model = space_to_batch_v1_2::createTestModel_nchw_quant8();
- const std::vector<Request> requests = createRequests(space_to_batch_v1_2::examples_nchw_quant8);
+ const std::vector<Request> requests = createRequests(space_to_batch_v1_2::get_examples_nchw_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -14268,12 +15540,12 @@
generated_tests::Execute(device,
space_to_batch_v1_2::createTestModel_nhwc_2,
space_to_batch_v1_2::is_ignored_nhwc_2,
- space_to_batch_v1_2::examples_nhwc_2);
+ space_to_batch_v1_2::get_examples_nhwc_2());
}
TEST_F(ValidationTest, space_to_batch_v1_2_nhwc_2) {
const Model model = space_to_batch_v1_2::createTestModel_nhwc_2();
- const std::vector<Request> requests = createRequests(space_to_batch_v1_2::examples_nhwc_2);
+ const std::vector<Request> requests = createRequests(space_to_batch_v1_2::get_examples_nhwc_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -14283,12 +15555,27 @@
generated_tests::Execute(device,
space_to_batch_v1_2::createTestModel_nhwc_relaxed_2,
space_to_batch_v1_2::is_ignored_nhwc_relaxed_2,
- space_to_batch_v1_2::examples_nhwc_relaxed_2);
+ space_to_batch_v1_2::get_examples_nhwc_relaxed_2());
}
TEST_F(ValidationTest, space_to_batch_v1_2_nhwc_relaxed_2) {
const Model model = space_to_batch_v1_2::createTestModel_nhwc_relaxed_2();
- const std::vector<Request> requests = createRequests(space_to_batch_v1_2::examples_nhwc_relaxed_2);
+ const std::vector<Request> requests = createRequests(space_to_batch_v1_2::get_examples_nhwc_relaxed_2());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, space_to_batch_v1_2_nhwc_float16_2) {
+ generated_tests::Execute(device,
+ space_to_batch_v1_2::createTestModel_nhwc_float16_2,
+ space_to_batch_v1_2::is_ignored_nhwc_float16_2,
+ space_to_batch_v1_2::get_examples_nhwc_float16_2());
+}
+
+TEST_F(ValidationTest, space_to_batch_v1_2_nhwc_float16_2) {
+ const Model model = space_to_batch_v1_2::createTestModel_nhwc_float16_2();
+ const std::vector<Request> requests = createRequests(space_to_batch_v1_2::get_examples_nhwc_float16_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -14298,12 +15585,12 @@
generated_tests::Execute(device,
space_to_batch_v1_2::createTestModel_nhwc_quant8_2,
space_to_batch_v1_2::is_ignored_nhwc_quant8_2,
- space_to_batch_v1_2::examples_nhwc_quant8_2);
+ space_to_batch_v1_2::get_examples_nhwc_quant8_2());
}
TEST_F(ValidationTest, space_to_batch_v1_2_nhwc_quant8_2) {
const Model model = space_to_batch_v1_2::createTestModel_nhwc_quant8_2();
- const std::vector<Request> requests = createRequests(space_to_batch_v1_2::examples_nhwc_quant8_2);
+ const std::vector<Request> requests = createRequests(space_to_batch_v1_2::get_examples_nhwc_quant8_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -14313,12 +15600,12 @@
generated_tests::Execute(device,
space_to_batch_v1_2::createTestModel_nchw_2,
space_to_batch_v1_2::is_ignored_nchw_2,
- space_to_batch_v1_2::examples_nchw_2);
+ space_to_batch_v1_2::get_examples_nchw_2());
}
TEST_F(ValidationTest, space_to_batch_v1_2_nchw_2) {
const Model model = space_to_batch_v1_2::createTestModel_nchw_2();
- const std::vector<Request> requests = createRequests(space_to_batch_v1_2::examples_nchw_2);
+ const std::vector<Request> requests = createRequests(space_to_batch_v1_2::get_examples_nchw_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -14328,12 +15615,27 @@
generated_tests::Execute(device,
space_to_batch_v1_2::createTestModel_nchw_relaxed_2,
space_to_batch_v1_2::is_ignored_nchw_relaxed_2,
- space_to_batch_v1_2::examples_nchw_relaxed_2);
+ space_to_batch_v1_2::get_examples_nchw_relaxed_2());
}
TEST_F(ValidationTest, space_to_batch_v1_2_nchw_relaxed_2) {
const Model model = space_to_batch_v1_2::createTestModel_nchw_relaxed_2();
- const std::vector<Request> requests = createRequests(space_to_batch_v1_2::examples_nchw_relaxed_2);
+ const std::vector<Request> requests = createRequests(space_to_batch_v1_2::get_examples_nchw_relaxed_2());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, space_to_batch_v1_2_nchw_float16_2) {
+ generated_tests::Execute(device,
+ space_to_batch_v1_2::createTestModel_nchw_float16_2,
+ space_to_batch_v1_2::is_ignored_nchw_float16_2,
+ space_to_batch_v1_2::get_examples_nchw_float16_2());
+}
+
+TEST_F(ValidationTest, space_to_batch_v1_2_nchw_float16_2) {
+ const Model model = space_to_batch_v1_2::createTestModel_nchw_float16_2();
+ const std::vector<Request> requests = createRequests(space_to_batch_v1_2::get_examples_nchw_float16_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -14343,12 +15645,12 @@
generated_tests::Execute(device,
space_to_batch_v1_2::createTestModel_nchw_quant8_2,
space_to_batch_v1_2::is_ignored_nchw_quant8_2,
- space_to_batch_v1_2::examples_nchw_quant8_2);
+ space_to_batch_v1_2::get_examples_nchw_quant8_2());
}
TEST_F(ValidationTest, space_to_batch_v1_2_nchw_quant8_2) {
const Model model = space_to_batch_v1_2::createTestModel_nchw_quant8_2();
- const std::vector<Request> requests = createRequests(space_to_batch_v1_2::examples_nchw_quant8_2);
+ const std::vector<Request> requests = createRequests(space_to_batch_v1_2::get_examples_nchw_quant8_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -14358,12 +15660,12 @@
generated_tests::Execute(device,
space_to_batch_v1_2::createTestModel_nhwc_3,
space_to_batch_v1_2::is_ignored_nhwc_3,
- space_to_batch_v1_2::examples_nhwc_3);
+ space_to_batch_v1_2::get_examples_nhwc_3());
}
TEST_F(ValidationTest, space_to_batch_v1_2_nhwc_3) {
const Model model = space_to_batch_v1_2::createTestModel_nhwc_3();
- const std::vector<Request> requests = createRequests(space_to_batch_v1_2::examples_nhwc_3);
+ const std::vector<Request> requests = createRequests(space_to_batch_v1_2::get_examples_nhwc_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -14373,12 +15675,27 @@
generated_tests::Execute(device,
space_to_batch_v1_2::createTestModel_nhwc_relaxed_3,
space_to_batch_v1_2::is_ignored_nhwc_relaxed_3,
- space_to_batch_v1_2::examples_nhwc_relaxed_3);
+ space_to_batch_v1_2::get_examples_nhwc_relaxed_3());
}
TEST_F(ValidationTest, space_to_batch_v1_2_nhwc_relaxed_3) {
const Model model = space_to_batch_v1_2::createTestModel_nhwc_relaxed_3();
- const std::vector<Request> requests = createRequests(space_to_batch_v1_2::examples_nhwc_relaxed_3);
+ const std::vector<Request> requests = createRequests(space_to_batch_v1_2::get_examples_nhwc_relaxed_3());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, space_to_batch_v1_2_nhwc_float16_3) {
+ generated_tests::Execute(device,
+ space_to_batch_v1_2::createTestModel_nhwc_float16_3,
+ space_to_batch_v1_2::is_ignored_nhwc_float16_3,
+ space_to_batch_v1_2::get_examples_nhwc_float16_3());
+}
+
+TEST_F(ValidationTest, space_to_batch_v1_2_nhwc_float16_3) {
+ const Model model = space_to_batch_v1_2::createTestModel_nhwc_float16_3();
+ const std::vector<Request> requests = createRequests(space_to_batch_v1_2::get_examples_nhwc_float16_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -14388,12 +15705,12 @@
generated_tests::Execute(device,
space_to_batch_v1_2::createTestModel_nhwc_quant8_3,
space_to_batch_v1_2::is_ignored_nhwc_quant8_3,
- space_to_batch_v1_2::examples_nhwc_quant8_3);
+ space_to_batch_v1_2::get_examples_nhwc_quant8_3());
}
TEST_F(ValidationTest, space_to_batch_v1_2_nhwc_quant8_3) {
const Model model = space_to_batch_v1_2::createTestModel_nhwc_quant8_3();
- const std::vector<Request> requests = createRequests(space_to_batch_v1_2::examples_nhwc_quant8_3);
+ const std::vector<Request> requests = createRequests(space_to_batch_v1_2::get_examples_nhwc_quant8_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -14403,12 +15720,12 @@
generated_tests::Execute(device,
space_to_batch_v1_2::createTestModel_nchw_3,
space_to_batch_v1_2::is_ignored_nchw_3,
- space_to_batch_v1_2::examples_nchw_3);
+ space_to_batch_v1_2::get_examples_nchw_3());
}
TEST_F(ValidationTest, space_to_batch_v1_2_nchw_3) {
const Model model = space_to_batch_v1_2::createTestModel_nchw_3();
- const std::vector<Request> requests = createRequests(space_to_batch_v1_2::examples_nchw_3);
+ const std::vector<Request> requests = createRequests(space_to_batch_v1_2::get_examples_nchw_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -14418,12 +15735,27 @@
generated_tests::Execute(device,
space_to_batch_v1_2::createTestModel_nchw_relaxed_3,
space_to_batch_v1_2::is_ignored_nchw_relaxed_3,
- space_to_batch_v1_2::examples_nchw_relaxed_3);
+ space_to_batch_v1_2::get_examples_nchw_relaxed_3());
}
TEST_F(ValidationTest, space_to_batch_v1_2_nchw_relaxed_3) {
const Model model = space_to_batch_v1_2::createTestModel_nchw_relaxed_3();
- const std::vector<Request> requests = createRequests(space_to_batch_v1_2::examples_nchw_relaxed_3);
+ const std::vector<Request> requests = createRequests(space_to_batch_v1_2::get_examples_nchw_relaxed_3());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, space_to_batch_v1_2_nchw_float16_3) {
+ generated_tests::Execute(device,
+ space_to_batch_v1_2::createTestModel_nchw_float16_3,
+ space_to_batch_v1_2::is_ignored_nchw_float16_3,
+ space_to_batch_v1_2::get_examples_nchw_float16_3());
+}
+
+TEST_F(ValidationTest, space_to_batch_v1_2_nchw_float16_3) {
+ const Model model = space_to_batch_v1_2::createTestModel_nchw_float16_3();
+ const std::vector<Request> requests = createRequests(space_to_batch_v1_2::get_examples_nchw_float16_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -14433,12 +15765,12 @@
generated_tests::Execute(device,
space_to_batch_v1_2::createTestModel_nchw_quant8_3,
space_to_batch_v1_2::is_ignored_nchw_quant8_3,
- space_to_batch_v1_2::examples_nchw_quant8_3);
+ space_to_batch_v1_2::get_examples_nchw_quant8_3());
}
TEST_F(ValidationTest, space_to_batch_v1_2_nchw_quant8_3) {
const Model model = space_to_batch_v1_2::createTestModel_nchw_quant8_3();
- const std::vector<Request> requests = createRequests(space_to_batch_v1_2::examples_nchw_quant8_3);
+ const std::vector<Request> requests = createRequests(space_to_batch_v1_2::get_examples_nchw_quant8_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -14448,12 +15780,12 @@
generated_tests::Execute(device,
space_to_batch_v1_2::createTestModel_nhwc_4,
space_to_batch_v1_2::is_ignored_nhwc_4,
- space_to_batch_v1_2::examples_nhwc_4);
+ space_to_batch_v1_2::get_examples_nhwc_4());
}
TEST_F(ValidationTest, space_to_batch_v1_2_nhwc_4) {
const Model model = space_to_batch_v1_2::createTestModel_nhwc_4();
- const std::vector<Request> requests = createRequests(space_to_batch_v1_2::examples_nhwc_4);
+ const std::vector<Request> requests = createRequests(space_to_batch_v1_2::get_examples_nhwc_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -14463,12 +15795,27 @@
generated_tests::Execute(device,
space_to_batch_v1_2::createTestModel_nhwc_relaxed_4,
space_to_batch_v1_2::is_ignored_nhwc_relaxed_4,
- space_to_batch_v1_2::examples_nhwc_relaxed_4);
+ space_to_batch_v1_2::get_examples_nhwc_relaxed_4());
}
TEST_F(ValidationTest, space_to_batch_v1_2_nhwc_relaxed_4) {
const Model model = space_to_batch_v1_2::createTestModel_nhwc_relaxed_4();
- const std::vector<Request> requests = createRequests(space_to_batch_v1_2::examples_nhwc_relaxed_4);
+ const std::vector<Request> requests = createRequests(space_to_batch_v1_2::get_examples_nhwc_relaxed_4());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, space_to_batch_v1_2_nhwc_float16_4) {
+ generated_tests::Execute(device,
+ space_to_batch_v1_2::createTestModel_nhwc_float16_4,
+ space_to_batch_v1_2::is_ignored_nhwc_float16_4,
+ space_to_batch_v1_2::get_examples_nhwc_float16_4());
+}
+
+TEST_F(ValidationTest, space_to_batch_v1_2_nhwc_float16_4) {
+ const Model model = space_to_batch_v1_2::createTestModel_nhwc_float16_4();
+ const std::vector<Request> requests = createRequests(space_to_batch_v1_2::get_examples_nhwc_float16_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -14478,12 +15825,12 @@
generated_tests::Execute(device,
space_to_batch_v1_2::createTestModel_nhwc_quant8_4,
space_to_batch_v1_2::is_ignored_nhwc_quant8_4,
- space_to_batch_v1_2::examples_nhwc_quant8_4);
+ space_to_batch_v1_2::get_examples_nhwc_quant8_4());
}
TEST_F(ValidationTest, space_to_batch_v1_2_nhwc_quant8_4) {
const Model model = space_to_batch_v1_2::createTestModel_nhwc_quant8_4();
- const std::vector<Request> requests = createRequests(space_to_batch_v1_2::examples_nhwc_quant8_4);
+ const std::vector<Request> requests = createRequests(space_to_batch_v1_2::get_examples_nhwc_quant8_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -14493,12 +15840,12 @@
generated_tests::Execute(device,
space_to_batch_v1_2::createTestModel_nchw_4,
space_to_batch_v1_2::is_ignored_nchw_4,
- space_to_batch_v1_2::examples_nchw_4);
+ space_to_batch_v1_2::get_examples_nchw_4());
}
TEST_F(ValidationTest, space_to_batch_v1_2_nchw_4) {
const Model model = space_to_batch_v1_2::createTestModel_nchw_4();
- const std::vector<Request> requests = createRequests(space_to_batch_v1_2::examples_nchw_4);
+ const std::vector<Request> requests = createRequests(space_to_batch_v1_2::get_examples_nchw_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -14508,12 +15855,27 @@
generated_tests::Execute(device,
space_to_batch_v1_2::createTestModel_nchw_relaxed_4,
space_to_batch_v1_2::is_ignored_nchw_relaxed_4,
- space_to_batch_v1_2::examples_nchw_relaxed_4);
+ space_to_batch_v1_2::get_examples_nchw_relaxed_4());
}
TEST_F(ValidationTest, space_to_batch_v1_2_nchw_relaxed_4) {
const Model model = space_to_batch_v1_2::createTestModel_nchw_relaxed_4();
- const std::vector<Request> requests = createRequests(space_to_batch_v1_2::examples_nchw_relaxed_4);
+ const std::vector<Request> requests = createRequests(space_to_batch_v1_2::get_examples_nchw_relaxed_4());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, space_to_batch_v1_2_nchw_float16_4) {
+ generated_tests::Execute(device,
+ space_to_batch_v1_2::createTestModel_nchw_float16_4,
+ space_to_batch_v1_2::is_ignored_nchw_float16_4,
+ space_to_batch_v1_2::get_examples_nchw_float16_4());
+}
+
+TEST_F(ValidationTest, space_to_batch_v1_2_nchw_float16_4) {
+ const Model model = space_to_batch_v1_2::createTestModel_nchw_float16_4();
+ const std::vector<Request> requests = createRequests(space_to_batch_v1_2::get_examples_nchw_float16_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -14523,12 +15885,12 @@
generated_tests::Execute(device,
space_to_batch_v1_2::createTestModel_nchw_quant8_4,
space_to_batch_v1_2::is_ignored_nchw_quant8_4,
- space_to_batch_v1_2::examples_nchw_quant8_4);
+ space_to_batch_v1_2::get_examples_nchw_quant8_4());
}
TEST_F(ValidationTest, space_to_batch_v1_2_nchw_quant8_4) {
const Model model = space_to_batch_v1_2::createTestModel_nchw_quant8_4();
- const std::vector<Request> requests = createRequests(space_to_batch_v1_2::examples_nchw_quant8_4);
+ const std::vector<Request> requests = createRequests(space_to_batch_v1_2::get_examples_nchw_quant8_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -14546,12 +15908,12 @@
generated_tests::Execute(device,
space_to_depth_v1_2::createTestModel_nhwc,
space_to_depth_v1_2::is_ignored_nhwc,
- space_to_depth_v1_2::examples_nhwc);
+ space_to_depth_v1_2::get_examples_nhwc());
}
TEST_F(ValidationTest, space_to_depth_v1_2_nhwc) {
const Model model = space_to_depth_v1_2::createTestModel_nhwc();
- const std::vector<Request> requests = createRequests(space_to_depth_v1_2::examples_nhwc);
+ const std::vector<Request> requests = createRequests(space_to_depth_v1_2::get_examples_nhwc());
validateModel(model);
validateRequests(model, requests);
}
@@ -14561,12 +15923,27 @@
generated_tests::Execute(device,
space_to_depth_v1_2::createTestModel_nhwc_relaxed,
space_to_depth_v1_2::is_ignored_nhwc_relaxed,
- space_to_depth_v1_2::examples_nhwc_relaxed);
+ space_to_depth_v1_2::get_examples_nhwc_relaxed());
}
TEST_F(ValidationTest, space_to_depth_v1_2_nhwc_relaxed) {
const Model model = space_to_depth_v1_2::createTestModel_nhwc_relaxed();
- const std::vector<Request> requests = createRequests(space_to_depth_v1_2::examples_nhwc_relaxed);
+ const std::vector<Request> requests = createRequests(space_to_depth_v1_2::get_examples_nhwc_relaxed());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, space_to_depth_v1_2_nhwc_float16) {
+ generated_tests::Execute(device,
+ space_to_depth_v1_2::createTestModel_nhwc_float16,
+ space_to_depth_v1_2::is_ignored_nhwc_float16,
+ space_to_depth_v1_2::get_examples_nhwc_float16());
+}
+
+TEST_F(ValidationTest, space_to_depth_v1_2_nhwc_float16) {
+ const Model model = space_to_depth_v1_2::createTestModel_nhwc_float16();
+ const std::vector<Request> requests = createRequests(space_to_depth_v1_2::get_examples_nhwc_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -14576,12 +15953,12 @@
generated_tests::Execute(device,
space_to_depth_v1_2::createTestModel_nhwc_quant8,
space_to_depth_v1_2::is_ignored_nhwc_quant8,
- space_to_depth_v1_2::examples_nhwc_quant8);
+ space_to_depth_v1_2::get_examples_nhwc_quant8());
}
TEST_F(ValidationTest, space_to_depth_v1_2_nhwc_quant8) {
const Model model = space_to_depth_v1_2::createTestModel_nhwc_quant8();
- const std::vector<Request> requests = createRequests(space_to_depth_v1_2::examples_nhwc_quant8);
+ const std::vector<Request> requests = createRequests(space_to_depth_v1_2::get_examples_nhwc_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -14591,12 +15968,12 @@
generated_tests::Execute(device,
space_to_depth_v1_2::createTestModel_nchw,
space_to_depth_v1_2::is_ignored_nchw,
- space_to_depth_v1_2::examples_nchw);
+ space_to_depth_v1_2::get_examples_nchw());
}
TEST_F(ValidationTest, space_to_depth_v1_2_nchw) {
const Model model = space_to_depth_v1_2::createTestModel_nchw();
- const std::vector<Request> requests = createRequests(space_to_depth_v1_2::examples_nchw);
+ const std::vector<Request> requests = createRequests(space_to_depth_v1_2::get_examples_nchw());
validateModel(model);
validateRequests(model, requests);
}
@@ -14606,12 +15983,27 @@
generated_tests::Execute(device,
space_to_depth_v1_2::createTestModel_nchw_relaxed,
space_to_depth_v1_2::is_ignored_nchw_relaxed,
- space_to_depth_v1_2::examples_nchw_relaxed);
+ space_to_depth_v1_2::get_examples_nchw_relaxed());
}
TEST_F(ValidationTest, space_to_depth_v1_2_nchw_relaxed) {
const Model model = space_to_depth_v1_2::createTestModel_nchw_relaxed();
- const std::vector<Request> requests = createRequests(space_to_depth_v1_2::examples_nchw_relaxed);
+ const std::vector<Request> requests = createRequests(space_to_depth_v1_2::get_examples_nchw_relaxed());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, space_to_depth_v1_2_nchw_float16) {
+ generated_tests::Execute(device,
+ space_to_depth_v1_2::createTestModel_nchw_float16,
+ space_to_depth_v1_2::is_ignored_nchw_float16,
+ space_to_depth_v1_2::get_examples_nchw_float16());
+}
+
+TEST_F(ValidationTest, space_to_depth_v1_2_nchw_float16) {
+ const Model model = space_to_depth_v1_2::createTestModel_nchw_float16();
+ const std::vector<Request> requests = createRequests(space_to_depth_v1_2::get_examples_nchw_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -14621,12 +16013,12 @@
generated_tests::Execute(device,
space_to_depth_v1_2::createTestModel_nchw_quant8,
space_to_depth_v1_2::is_ignored_nchw_quant8,
- space_to_depth_v1_2::examples_nchw_quant8);
+ space_to_depth_v1_2::get_examples_nchw_quant8());
}
TEST_F(ValidationTest, space_to_depth_v1_2_nchw_quant8) {
const Model model = space_to_depth_v1_2::createTestModel_nchw_quant8();
- const std::vector<Request> requests = createRequests(space_to_depth_v1_2::examples_nchw_quant8);
+ const std::vector<Request> requests = createRequests(space_to_depth_v1_2::get_examples_nchw_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -14636,12 +16028,12 @@
generated_tests::Execute(device,
space_to_depth_v1_2::createTestModel_nhwc_2,
space_to_depth_v1_2::is_ignored_nhwc_2,
- space_to_depth_v1_2::examples_nhwc_2);
+ space_to_depth_v1_2::get_examples_nhwc_2());
}
TEST_F(ValidationTest, space_to_depth_v1_2_nhwc_2) {
const Model model = space_to_depth_v1_2::createTestModel_nhwc_2();
- const std::vector<Request> requests = createRequests(space_to_depth_v1_2::examples_nhwc_2);
+ const std::vector<Request> requests = createRequests(space_to_depth_v1_2::get_examples_nhwc_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -14651,12 +16043,27 @@
generated_tests::Execute(device,
space_to_depth_v1_2::createTestModel_nhwc_relaxed_2,
space_to_depth_v1_2::is_ignored_nhwc_relaxed_2,
- space_to_depth_v1_2::examples_nhwc_relaxed_2);
+ space_to_depth_v1_2::get_examples_nhwc_relaxed_2());
}
TEST_F(ValidationTest, space_to_depth_v1_2_nhwc_relaxed_2) {
const Model model = space_to_depth_v1_2::createTestModel_nhwc_relaxed_2();
- const std::vector<Request> requests = createRequests(space_to_depth_v1_2::examples_nhwc_relaxed_2);
+ const std::vector<Request> requests = createRequests(space_to_depth_v1_2::get_examples_nhwc_relaxed_2());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, space_to_depth_v1_2_nhwc_float16_2) {
+ generated_tests::Execute(device,
+ space_to_depth_v1_2::createTestModel_nhwc_float16_2,
+ space_to_depth_v1_2::is_ignored_nhwc_float16_2,
+ space_to_depth_v1_2::get_examples_nhwc_float16_2());
+}
+
+TEST_F(ValidationTest, space_to_depth_v1_2_nhwc_float16_2) {
+ const Model model = space_to_depth_v1_2::createTestModel_nhwc_float16_2();
+ const std::vector<Request> requests = createRequests(space_to_depth_v1_2::get_examples_nhwc_float16_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -14666,12 +16073,12 @@
generated_tests::Execute(device,
space_to_depth_v1_2::createTestModel_nhwc_quant8_2,
space_to_depth_v1_2::is_ignored_nhwc_quant8_2,
- space_to_depth_v1_2::examples_nhwc_quant8_2);
+ space_to_depth_v1_2::get_examples_nhwc_quant8_2());
}
TEST_F(ValidationTest, space_to_depth_v1_2_nhwc_quant8_2) {
const Model model = space_to_depth_v1_2::createTestModel_nhwc_quant8_2();
- const std::vector<Request> requests = createRequests(space_to_depth_v1_2::examples_nhwc_quant8_2);
+ const std::vector<Request> requests = createRequests(space_to_depth_v1_2::get_examples_nhwc_quant8_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -14681,12 +16088,12 @@
generated_tests::Execute(device,
space_to_depth_v1_2::createTestModel_nchw_2,
space_to_depth_v1_2::is_ignored_nchw_2,
- space_to_depth_v1_2::examples_nchw_2);
+ space_to_depth_v1_2::get_examples_nchw_2());
}
TEST_F(ValidationTest, space_to_depth_v1_2_nchw_2) {
const Model model = space_to_depth_v1_2::createTestModel_nchw_2();
- const std::vector<Request> requests = createRequests(space_to_depth_v1_2::examples_nchw_2);
+ const std::vector<Request> requests = createRequests(space_to_depth_v1_2::get_examples_nchw_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -14696,12 +16103,27 @@
generated_tests::Execute(device,
space_to_depth_v1_2::createTestModel_nchw_relaxed_2,
space_to_depth_v1_2::is_ignored_nchw_relaxed_2,
- space_to_depth_v1_2::examples_nchw_relaxed_2);
+ space_to_depth_v1_2::get_examples_nchw_relaxed_2());
}
TEST_F(ValidationTest, space_to_depth_v1_2_nchw_relaxed_2) {
const Model model = space_to_depth_v1_2::createTestModel_nchw_relaxed_2();
- const std::vector<Request> requests = createRequests(space_to_depth_v1_2::examples_nchw_relaxed_2);
+ const std::vector<Request> requests = createRequests(space_to_depth_v1_2::get_examples_nchw_relaxed_2());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, space_to_depth_v1_2_nchw_float16_2) {
+ generated_tests::Execute(device,
+ space_to_depth_v1_2::createTestModel_nchw_float16_2,
+ space_to_depth_v1_2::is_ignored_nchw_float16_2,
+ space_to_depth_v1_2::get_examples_nchw_float16_2());
+}
+
+TEST_F(ValidationTest, space_to_depth_v1_2_nchw_float16_2) {
+ const Model model = space_to_depth_v1_2::createTestModel_nchw_float16_2();
+ const std::vector<Request> requests = createRequests(space_to_depth_v1_2::get_examples_nchw_float16_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -14711,12 +16133,12 @@
generated_tests::Execute(device,
space_to_depth_v1_2::createTestModel_nchw_quant8_2,
space_to_depth_v1_2::is_ignored_nchw_quant8_2,
- space_to_depth_v1_2::examples_nchw_quant8_2);
+ space_to_depth_v1_2::get_examples_nchw_quant8_2());
}
TEST_F(ValidationTest, space_to_depth_v1_2_nchw_quant8_2) {
const Model model = space_to_depth_v1_2::createTestModel_nchw_quant8_2();
- const std::vector<Request> requests = createRequests(space_to_depth_v1_2::examples_nchw_quant8_2);
+ const std::vector<Request> requests = createRequests(space_to_depth_v1_2::get_examples_nchw_quant8_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -14726,12 +16148,12 @@
generated_tests::Execute(device,
space_to_depth_v1_2::createTestModel_nhwc_3,
space_to_depth_v1_2::is_ignored_nhwc_3,
- space_to_depth_v1_2::examples_nhwc_3);
+ space_to_depth_v1_2::get_examples_nhwc_3());
}
TEST_F(ValidationTest, space_to_depth_v1_2_nhwc_3) {
const Model model = space_to_depth_v1_2::createTestModel_nhwc_3();
- const std::vector<Request> requests = createRequests(space_to_depth_v1_2::examples_nhwc_3);
+ const std::vector<Request> requests = createRequests(space_to_depth_v1_2::get_examples_nhwc_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -14741,12 +16163,27 @@
generated_tests::Execute(device,
space_to_depth_v1_2::createTestModel_nhwc_relaxed_3,
space_to_depth_v1_2::is_ignored_nhwc_relaxed_3,
- space_to_depth_v1_2::examples_nhwc_relaxed_3);
+ space_to_depth_v1_2::get_examples_nhwc_relaxed_3());
}
TEST_F(ValidationTest, space_to_depth_v1_2_nhwc_relaxed_3) {
const Model model = space_to_depth_v1_2::createTestModel_nhwc_relaxed_3();
- const std::vector<Request> requests = createRequests(space_to_depth_v1_2::examples_nhwc_relaxed_3);
+ const std::vector<Request> requests = createRequests(space_to_depth_v1_2::get_examples_nhwc_relaxed_3());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, space_to_depth_v1_2_nhwc_float16_3) {
+ generated_tests::Execute(device,
+ space_to_depth_v1_2::createTestModel_nhwc_float16_3,
+ space_to_depth_v1_2::is_ignored_nhwc_float16_3,
+ space_to_depth_v1_2::get_examples_nhwc_float16_3());
+}
+
+TEST_F(ValidationTest, space_to_depth_v1_2_nhwc_float16_3) {
+ const Model model = space_to_depth_v1_2::createTestModel_nhwc_float16_3();
+ const std::vector<Request> requests = createRequests(space_to_depth_v1_2::get_examples_nhwc_float16_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -14756,12 +16193,12 @@
generated_tests::Execute(device,
space_to_depth_v1_2::createTestModel_nhwc_quant8_3,
space_to_depth_v1_2::is_ignored_nhwc_quant8_3,
- space_to_depth_v1_2::examples_nhwc_quant8_3);
+ space_to_depth_v1_2::get_examples_nhwc_quant8_3());
}
TEST_F(ValidationTest, space_to_depth_v1_2_nhwc_quant8_3) {
const Model model = space_to_depth_v1_2::createTestModel_nhwc_quant8_3();
- const std::vector<Request> requests = createRequests(space_to_depth_v1_2::examples_nhwc_quant8_3);
+ const std::vector<Request> requests = createRequests(space_to_depth_v1_2::get_examples_nhwc_quant8_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -14771,12 +16208,12 @@
generated_tests::Execute(device,
space_to_depth_v1_2::createTestModel_nchw_3,
space_to_depth_v1_2::is_ignored_nchw_3,
- space_to_depth_v1_2::examples_nchw_3);
+ space_to_depth_v1_2::get_examples_nchw_3());
}
TEST_F(ValidationTest, space_to_depth_v1_2_nchw_3) {
const Model model = space_to_depth_v1_2::createTestModel_nchw_3();
- const std::vector<Request> requests = createRequests(space_to_depth_v1_2::examples_nchw_3);
+ const std::vector<Request> requests = createRequests(space_to_depth_v1_2::get_examples_nchw_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -14786,12 +16223,27 @@
generated_tests::Execute(device,
space_to_depth_v1_2::createTestModel_nchw_relaxed_3,
space_to_depth_v1_2::is_ignored_nchw_relaxed_3,
- space_to_depth_v1_2::examples_nchw_relaxed_3);
+ space_to_depth_v1_2::get_examples_nchw_relaxed_3());
}
TEST_F(ValidationTest, space_to_depth_v1_2_nchw_relaxed_3) {
const Model model = space_to_depth_v1_2::createTestModel_nchw_relaxed_3();
- const std::vector<Request> requests = createRequests(space_to_depth_v1_2::examples_nchw_relaxed_3);
+ const std::vector<Request> requests = createRequests(space_to_depth_v1_2::get_examples_nchw_relaxed_3());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, space_to_depth_v1_2_nchw_float16_3) {
+ generated_tests::Execute(device,
+ space_to_depth_v1_2::createTestModel_nchw_float16_3,
+ space_to_depth_v1_2::is_ignored_nchw_float16_3,
+ space_to_depth_v1_2::get_examples_nchw_float16_3());
+}
+
+TEST_F(ValidationTest, space_to_depth_v1_2_nchw_float16_3) {
+ const Model model = space_to_depth_v1_2::createTestModel_nchw_float16_3();
+ const std::vector<Request> requests = createRequests(space_to_depth_v1_2::get_examples_nchw_float16_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -14801,12 +16253,12 @@
generated_tests::Execute(device,
space_to_depth_v1_2::createTestModel_nchw_quant8_3,
space_to_depth_v1_2::is_ignored_nchw_quant8_3,
- space_to_depth_v1_2::examples_nchw_quant8_3);
+ space_to_depth_v1_2::get_examples_nchw_quant8_3());
}
TEST_F(ValidationTest, space_to_depth_v1_2_nchw_quant8_3) {
const Model model = space_to_depth_v1_2::createTestModel_nchw_quant8_3();
- const std::vector<Request> requests = createRequests(space_to_depth_v1_2::examples_nchw_quant8_3);
+ const std::vector<Request> requests = createRequests(space_to_depth_v1_2::get_examples_nchw_quant8_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -14824,12 +16276,12 @@
generated_tests::Execute(device,
split_float_1::createTestModel,
split_float_1::is_ignored,
- split_float_1::examples);
+ split_float_1::get_examples());
}
TEST_F(ValidationTest, split_float_1) {
const Model model = split_float_1::createTestModel();
- const std::vector<Request> requests = createRequests(split_float_1::examples);
+ const std::vector<Request> requests = createRequests(split_float_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -14839,12 +16291,12 @@
generated_tests::Execute(device,
split_float_1::createTestModel_relaxed,
split_float_1::is_ignored_relaxed,
- split_float_1::examples_relaxed);
+ split_float_1::get_examples_relaxed());
}
TEST_F(ValidationTest, split_float_1_relaxed) {
const Model model = split_float_1::createTestModel_relaxed();
- const std::vector<Request> requests = createRequests(split_float_1::examples_relaxed);
+ const std::vector<Request> requests = createRequests(split_float_1::get_examples_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -14854,12 +16306,12 @@
generated_tests::Execute(device,
split_float_1::createTestModel_float16,
split_float_1::is_ignored_float16,
- split_float_1::examples_float16);
+ split_float_1::get_examples_float16());
}
TEST_F(ValidationTest, split_float_1_float16) {
const Model model = split_float_1::createTestModel_float16();
- const std::vector<Request> requests = createRequests(split_float_1::examples_float16);
+ const std::vector<Request> requests = createRequests(split_float_1::get_examples_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -14877,12 +16329,12 @@
generated_tests::Execute(device,
split_float_2::createTestModel,
split_float_2::is_ignored,
- split_float_2::examples);
+ split_float_2::get_examples());
}
TEST_F(ValidationTest, split_float_2) {
const Model model = split_float_2::createTestModel();
- const std::vector<Request> requests = createRequests(split_float_2::examples);
+ const std::vector<Request> requests = createRequests(split_float_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -14892,12 +16344,12 @@
generated_tests::Execute(device,
split_float_2::createTestModel_relaxed,
split_float_2::is_ignored_relaxed,
- split_float_2::examples_relaxed);
+ split_float_2::get_examples_relaxed());
}
TEST_F(ValidationTest, split_float_2_relaxed) {
const Model model = split_float_2::createTestModel_relaxed();
- const std::vector<Request> requests = createRequests(split_float_2::examples_relaxed);
+ const std::vector<Request> requests = createRequests(split_float_2::get_examples_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -14907,12 +16359,12 @@
generated_tests::Execute(device,
split_float_2::createTestModel_float16,
split_float_2::is_ignored_float16,
- split_float_2::examples_float16);
+ split_float_2::get_examples_float16());
}
TEST_F(ValidationTest, split_float_2_float16) {
const Model model = split_float_2::createTestModel_float16();
- const std::vector<Request> requests = createRequests(split_float_2::examples_float16);
+ const std::vector<Request> requests = createRequests(split_float_2::get_examples_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -14930,12 +16382,12 @@
generated_tests::Execute(device,
split_float_3::createTestModel,
split_float_3::is_ignored,
- split_float_3::examples);
+ split_float_3::get_examples());
}
TEST_F(ValidationTest, split_float_3) {
const Model model = split_float_3::createTestModel();
- const std::vector<Request> requests = createRequests(split_float_3::examples);
+ const std::vector<Request> requests = createRequests(split_float_3::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -14945,12 +16397,12 @@
generated_tests::Execute(device,
split_float_3::createTestModel_relaxed,
split_float_3::is_ignored_relaxed,
- split_float_3::examples_relaxed);
+ split_float_3::get_examples_relaxed());
}
TEST_F(ValidationTest, split_float_3_relaxed) {
const Model model = split_float_3::createTestModel_relaxed();
- const std::vector<Request> requests = createRequests(split_float_3::examples_relaxed);
+ const std::vector<Request> requests = createRequests(split_float_3::get_examples_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -14960,12 +16412,12 @@
generated_tests::Execute(device,
split_float_3::createTestModel_float16,
split_float_3::is_ignored_float16,
- split_float_3::examples_float16);
+ split_float_3::get_examples_float16());
}
TEST_F(ValidationTest, split_float_3_float16) {
const Model model = split_float_3::createTestModel_float16();
- const std::vector<Request> requests = createRequests(split_float_3::examples_float16);
+ const std::vector<Request> requests = createRequests(split_float_3::get_examples_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -14983,12 +16435,12 @@
generated_tests::Execute(device,
split_float_4::createTestModel,
split_float_4::is_ignored,
- split_float_4::examples);
+ split_float_4::get_examples());
}
TEST_F(ValidationTest, split_float_4) {
const Model model = split_float_4::createTestModel();
- const std::vector<Request> requests = createRequests(split_float_4::examples);
+ const std::vector<Request> requests = createRequests(split_float_4::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -14998,12 +16450,12 @@
generated_tests::Execute(device,
split_float_4::createTestModel_relaxed,
split_float_4::is_ignored_relaxed,
- split_float_4::examples_relaxed);
+ split_float_4::get_examples_relaxed());
}
TEST_F(ValidationTest, split_float_4_relaxed) {
const Model model = split_float_4::createTestModel_relaxed();
- const std::vector<Request> requests = createRequests(split_float_4::examples_relaxed);
+ const std::vector<Request> requests = createRequests(split_float_4::get_examples_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -15013,12 +16465,12 @@
generated_tests::Execute(device,
split_float_4::createTestModel_float16,
split_float_4::is_ignored_float16,
- split_float_4::examples_float16);
+ split_float_4::get_examples_float16());
}
TEST_F(ValidationTest, split_float_4_float16) {
const Model model = split_float_4::createTestModel_float16();
- const std::vector<Request> requests = createRequests(split_float_4::examples_float16);
+ const std::vector<Request> requests = createRequests(split_float_4::get_examples_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -15036,12 +16488,12 @@
generated_tests::Execute(device,
split_float_5::createTestModel,
split_float_5::is_ignored,
- split_float_5::examples);
+ split_float_5::get_examples());
}
TEST_F(ValidationTest, split_float_5) {
const Model model = split_float_5::createTestModel();
- const std::vector<Request> requests = createRequests(split_float_5::examples);
+ const std::vector<Request> requests = createRequests(split_float_5::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -15051,12 +16503,12 @@
generated_tests::Execute(device,
split_float_5::createTestModel_relaxed,
split_float_5::is_ignored_relaxed,
- split_float_5::examples_relaxed);
+ split_float_5::get_examples_relaxed());
}
TEST_F(ValidationTest, split_float_5_relaxed) {
const Model model = split_float_5::createTestModel_relaxed();
- const std::vector<Request> requests = createRequests(split_float_5::examples_relaxed);
+ const std::vector<Request> requests = createRequests(split_float_5::get_examples_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -15066,12 +16518,12 @@
generated_tests::Execute(device,
split_float_5::createTestModel_float16,
split_float_5::is_ignored_float16,
- split_float_5::examples_float16);
+ split_float_5::get_examples_float16());
}
TEST_F(ValidationTest, split_float_5_float16) {
const Model model = split_float_5::createTestModel_float16();
- const std::vector<Request> requests = createRequests(split_float_5::examples_float16);
+ const std::vector<Request> requests = createRequests(split_float_5::get_examples_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -15089,12 +16541,12 @@
generated_tests::Execute(device,
split_int32_1::createTestModel,
split_int32_1::is_ignored,
- split_int32_1::examples);
+ split_int32_1::get_examples());
}
TEST_F(ValidationTest, split_int32_1) {
const Model model = split_int32_1::createTestModel();
- const std::vector<Request> requests = createRequests(split_int32_1::examples);
+ const std::vector<Request> requests = createRequests(split_int32_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -15104,12 +16556,12 @@
generated_tests::Execute(device,
split_int32_1::createTestModel_relaxed,
split_int32_1::is_ignored_relaxed,
- split_int32_1::examples_relaxed);
+ split_int32_1::get_examples_relaxed());
}
TEST_F(ValidationTest, split_int32_1_relaxed) {
const Model model = split_int32_1::createTestModel_relaxed();
- const std::vector<Request> requests = createRequests(split_int32_1::examples_relaxed);
+ const std::vector<Request> requests = createRequests(split_int32_1::get_examples_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -15127,12 +16579,12 @@
generated_tests::Execute(device,
split_int32_2::createTestModel,
split_int32_2::is_ignored,
- split_int32_2::examples);
+ split_int32_2::get_examples());
}
TEST_F(ValidationTest, split_int32_2) {
const Model model = split_int32_2::createTestModel();
- const std::vector<Request> requests = createRequests(split_int32_2::examples);
+ const std::vector<Request> requests = createRequests(split_int32_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -15142,12 +16594,12 @@
generated_tests::Execute(device,
split_int32_2::createTestModel_relaxed,
split_int32_2::is_ignored_relaxed,
- split_int32_2::examples_relaxed);
+ split_int32_2::get_examples_relaxed());
}
TEST_F(ValidationTest, split_int32_2_relaxed) {
const Model model = split_int32_2::createTestModel_relaxed();
- const std::vector<Request> requests = createRequests(split_int32_2::examples_relaxed);
+ const std::vector<Request> requests = createRequests(split_int32_2::get_examples_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -15165,12 +16617,12 @@
generated_tests::Execute(device,
split_int32_3::createTestModel,
split_int32_3::is_ignored,
- split_int32_3::examples);
+ split_int32_3::get_examples());
}
TEST_F(ValidationTest, split_int32_3) {
const Model model = split_int32_3::createTestModel();
- const std::vector<Request> requests = createRequests(split_int32_3::examples);
+ const std::vector<Request> requests = createRequests(split_int32_3::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -15180,12 +16632,12 @@
generated_tests::Execute(device,
split_int32_3::createTestModel_relaxed,
split_int32_3::is_ignored_relaxed,
- split_int32_3::examples_relaxed);
+ split_int32_3::get_examples_relaxed());
}
TEST_F(ValidationTest, split_int32_3_relaxed) {
const Model model = split_int32_3::createTestModel_relaxed();
- const std::vector<Request> requests = createRequests(split_int32_3::examples_relaxed);
+ const std::vector<Request> requests = createRequests(split_int32_3::get_examples_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -15203,12 +16655,12 @@
generated_tests::Execute(device,
split_int32_4::createTestModel,
split_int32_4::is_ignored,
- split_int32_4::examples);
+ split_int32_4::get_examples());
}
TEST_F(ValidationTest, split_int32_4) {
const Model model = split_int32_4::createTestModel();
- const std::vector<Request> requests = createRequests(split_int32_4::examples);
+ const std::vector<Request> requests = createRequests(split_int32_4::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -15218,12 +16670,12 @@
generated_tests::Execute(device,
split_int32_4::createTestModel_relaxed,
split_int32_4::is_ignored_relaxed,
- split_int32_4::examples_relaxed);
+ split_int32_4::get_examples_relaxed());
}
TEST_F(ValidationTest, split_int32_4_relaxed) {
const Model model = split_int32_4::createTestModel_relaxed();
- const std::vector<Request> requests = createRequests(split_int32_4::examples_relaxed);
+ const std::vector<Request> requests = createRequests(split_int32_4::get_examples_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -15241,12 +16693,12 @@
generated_tests::Execute(device,
split_quant8_1::createTestModel,
split_quant8_1::is_ignored,
- split_quant8_1::examples);
+ split_quant8_1::get_examples());
}
TEST_F(ValidationTest, split_quant8_1) {
const Model model = split_quant8_1::createTestModel();
- const std::vector<Request> requests = createRequests(split_quant8_1::examples);
+ const std::vector<Request> requests = createRequests(split_quant8_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -15256,12 +16708,12 @@
generated_tests::Execute(device,
split_quant8_1::createTestModel_relaxed,
split_quant8_1::is_ignored_relaxed,
- split_quant8_1::examples_relaxed);
+ split_quant8_1::get_examples_relaxed());
}
TEST_F(ValidationTest, split_quant8_1_relaxed) {
const Model model = split_quant8_1::createTestModel_relaxed();
- const std::vector<Request> requests = createRequests(split_quant8_1::examples_relaxed);
+ const std::vector<Request> requests = createRequests(split_quant8_1::get_examples_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -15279,12 +16731,12 @@
generated_tests::Execute(device,
split_quant8_2::createTestModel,
split_quant8_2::is_ignored,
- split_quant8_2::examples);
+ split_quant8_2::get_examples());
}
TEST_F(ValidationTest, split_quant8_2) {
const Model model = split_quant8_2::createTestModel();
- const std::vector<Request> requests = createRequests(split_quant8_2::examples);
+ const std::vector<Request> requests = createRequests(split_quant8_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -15294,12 +16746,12 @@
generated_tests::Execute(device,
split_quant8_2::createTestModel_relaxed,
split_quant8_2::is_ignored_relaxed,
- split_quant8_2::examples_relaxed);
+ split_quant8_2::get_examples_relaxed());
}
TEST_F(ValidationTest, split_quant8_2_relaxed) {
const Model model = split_quant8_2::createTestModel_relaxed();
- const std::vector<Request> requests = createRequests(split_quant8_2::examples_relaxed);
+ const std::vector<Request> requests = createRequests(split_quant8_2::get_examples_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -15317,12 +16769,12 @@
generated_tests::Execute(device,
split_quant8_3::createTestModel,
split_quant8_3::is_ignored,
- split_quant8_3::examples);
+ split_quant8_3::get_examples());
}
TEST_F(ValidationTest, split_quant8_3) {
const Model model = split_quant8_3::createTestModel();
- const std::vector<Request> requests = createRequests(split_quant8_3::examples);
+ const std::vector<Request> requests = createRequests(split_quant8_3::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -15340,12 +16792,58 @@
generated_tests::Execute(device,
split_quant8_4::createTestModel,
split_quant8_4::is_ignored,
- split_quant8_4::examples);
+ split_quant8_4::get_examples());
}
TEST_F(ValidationTest, split_quant8_4) {
const Model model = split_quant8_4::createTestModel();
- const std::vector<Request> requests = createRequests(split_quant8_4::examples);
+ const std::vector<Request> requests = createRequests(split_quant8_4::get_examples());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+// Generated from: squeeze_float16.mod.py.
+namespace squeeze_float16 {
+// Generated squeeze_float16 test
+#include "examples/squeeze_float16.example.cpp"
+// Generated model constructor
+#include "vts_models/squeeze_float16.model.cpp"
+} // namespace squeeze_float16
+
+TEST_F(NeuralnetworksHidlTest, squeeze_float16) {
+ generated_tests::Execute(device,
+ squeeze_float16::createTestModel,
+ squeeze_float16::is_ignored,
+ squeeze_float16::get_examples());
+}
+
+TEST_F(ValidationTest, squeeze_float16) {
+ const Model model = squeeze_float16::createTestModel();
+ const std::vector<Request> requests = createRequests(squeeze_float16::get_examples());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+// Generated from: strided_slice_float16.mod.py.
+namespace strided_slice_float16 {
+// Generated strided_slice_float16 test
+#include "examples/strided_slice_float16.example.cpp"
+// Generated model constructor
+#include "vts_models/strided_slice_float16.model.cpp"
+} // namespace strided_slice_float16
+
+TEST_F(NeuralnetworksHidlTest, strided_slice_float16) {
+ generated_tests::Execute(device,
+ strided_slice_float16::createTestModel,
+ strided_slice_float16::is_ignored,
+ strided_slice_float16::get_examples());
+}
+
+TEST_F(ValidationTest, strided_slice_float16) {
+ const Model model = strided_slice_float16::createTestModel();
+ const std::vector<Request> requests = createRequests(strided_slice_float16::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -15363,12 +16861,12 @@
generated_tests::Execute(device,
sub_float16::createTestModel,
sub_float16::is_ignored,
- sub_float16::examples);
+ sub_float16::get_examples());
}
TEST_F(ValidationTest, sub_float16) {
const Model model = sub_float16::createTestModel();
- const std::vector<Request> requests = createRequests(sub_float16::examples);
+ const std::vector<Request> requests = createRequests(sub_float16::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -15386,12 +16884,12 @@
generated_tests::Execute(device,
sub_float16_broadcast::createTestModel,
sub_float16_broadcast::is_ignored,
- sub_float16_broadcast::examples);
+ sub_float16_broadcast::get_examples());
}
TEST_F(ValidationTest, sub_float16_broadcast) {
const Model model = sub_float16_broadcast::createTestModel();
- const std::vector<Request> requests = createRequests(sub_float16_broadcast::examples);
+ const std::vector<Request> requests = createRequests(sub_float16_broadcast::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -15409,12 +16907,12 @@
generated_tests::Execute(device,
sub_quantized::createTestModel,
sub_quantized::is_ignored,
- sub_quantized::examples);
+ sub_quantized::get_examples());
}
TEST_F(ValidationTest, sub_quantized) {
const Model model = sub_quantized::createTestModel();
- const std::vector<Request> requests = createRequests(sub_quantized::examples);
+ const std::vector<Request> requests = createRequests(sub_quantized::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -15432,12 +16930,12 @@
generated_tests::Execute(device,
sub_quantized_broadcast::createTestModel,
sub_quantized_broadcast::is_ignored,
- sub_quantized_broadcast::examples);
+ sub_quantized_broadcast::get_examples());
}
TEST_F(ValidationTest, sub_quantized_broadcast) {
const Model model = sub_quantized_broadcast::createTestModel();
- const std::vector<Request> requests = createRequests(sub_quantized_broadcast::examples);
+ const std::vector<Request> requests = createRequests(sub_quantized_broadcast::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -15455,12 +16953,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel,
sub_quantized_different_scales::is_ignored,
- sub_quantized_different_scales::examples);
+ sub_quantized_different_scales::get_examples());
}
TEST_F(ValidationTest, sub_quantized_different_scales) {
const Model model = sub_quantized_different_scales::createTestModel();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -15470,12 +16968,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_2,
sub_quantized_different_scales::is_ignored_2,
- sub_quantized_different_scales::examples_2);
+ sub_quantized_different_scales::get_examples_2());
}
TEST_F(ValidationTest, sub_quantized_different_scales_2) {
const Model model = sub_quantized_different_scales::createTestModel_2();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_2);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -15485,12 +16983,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_3,
sub_quantized_different_scales::is_ignored_3,
- sub_quantized_different_scales::examples_3);
+ sub_quantized_different_scales::get_examples_3());
}
TEST_F(ValidationTest, sub_quantized_different_scales_3) {
const Model model = sub_quantized_different_scales::createTestModel_3();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_3);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -15500,12 +16998,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_4,
sub_quantized_different_scales::is_ignored_4,
- sub_quantized_different_scales::examples_4);
+ sub_quantized_different_scales::get_examples_4());
}
TEST_F(ValidationTest, sub_quantized_different_scales_4) {
const Model model = sub_quantized_different_scales::createTestModel_4();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_4);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -15515,12 +17013,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_5,
sub_quantized_different_scales::is_ignored_5,
- sub_quantized_different_scales::examples_5);
+ sub_quantized_different_scales::get_examples_5());
}
TEST_F(ValidationTest, sub_quantized_different_scales_5) {
const Model model = sub_quantized_different_scales::createTestModel_5();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_5);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_5());
validateModel(model);
validateRequests(model, requests);
}
@@ -15530,12 +17028,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_6,
sub_quantized_different_scales::is_ignored_6,
- sub_quantized_different_scales::examples_6);
+ sub_quantized_different_scales::get_examples_6());
}
TEST_F(ValidationTest, sub_quantized_different_scales_6) {
const Model model = sub_quantized_different_scales::createTestModel_6();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_6);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_6());
validateModel(model);
validateRequests(model, requests);
}
@@ -15545,12 +17043,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_7,
sub_quantized_different_scales::is_ignored_7,
- sub_quantized_different_scales::examples_7);
+ sub_quantized_different_scales::get_examples_7());
}
TEST_F(ValidationTest, sub_quantized_different_scales_7) {
const Model model = sub_quantized_different_scales::createTestModel_7();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_7);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_7());
validateModel(model);
validateRequests(model, requests);
}
@@ -15560,12 +17058,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_8,
sub_quantized_different_scales::is_ignored_8,
- sub_quantized_different_scales::examples_8);
+ sub_quantized_different_scales::get_examples_8());
}
TEST_F(ValidationTest, sub_quantized_different_scales_8) {
const Model model = sub_quantized_different_scales::createTestModel_8();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_8);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_8());
validateModel(model);
validateRequests(model, requests);
}
@@ -15575,12 +17073,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_9,
sub_quantized_different_scales::is_ignored_9,
- sub_quantized_different_scales::examples_9);
+ sub_quantized_different_scales::get_examples_9());
}
TEST_F(ValidationTest, sub_quantized_different_scales_9) {
const Model model = sub_quantized_different_scales::createTestModel_9();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_9);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_9());
validateModel(model);
validateRequests(model, requests);
}
@@ -15590,12 +17088,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_10,
sub_quantized_different_scales::is_ignored_10,
- sub_quantized_different_scales::examples_10);
+ sub_quantized_different_scales::get_examples_10());
}
TEST_F(ValidationTest, sub_quantized_different_scales_10) {
const Model model = sub_quantized_different_scales::createTestModel_10();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_10);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_10());
validateModel(model);
validateRequests(model, requests);
}
@@ -15605,12 +17103,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_11,
sub_quantized_different_scales::is_ignored_11,
- sub_quantized_different_scales::examples_11);
+ sub_quantized_different_scales::get_examples_11());
}
TEST_F(ValidationTest, sub_quantized_different_scales_11) {
const Model model = sub_quantized_different_scales::createTestModel_11();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_11);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_11());
validateModel(model);
validateRequests(model, requests);
}
@@ -15620,12 +17118,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_12,
sub_quantized_different_scales::is_ignored_12,
- sub_quantized_different_scales::examples_12);
+ sub_quantized_different_scales::get_examples_12());
}
TEST_F(ValidationTest, sub_quantized_different_scales_12) {
const Model model = sub_quantized_different_scales::createTestModel_12();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_12);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_12());
validateModel(model);
validateRequests(model, requests);
}
@@ -15635,12 +17133,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_13,
sub_quantized_different_scales::is_ignored_13,
- sub_quantized_different_scales::examples_13);
+ sub_quantized_different_scales::get_examples_13());
}
TEST_F(ValidationTest, sub_quantized_different_scales_13) {
const Model model = sub_quantized_different_scales::createTestModel_13();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_13);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_13());
validateModel(model);
validateRequests(model, requests);
}
@@ -15650,12 +17148,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_14,
sub_quantized_different_scales::is_ignored_14,
- sub_quantized_different_scales::examples_14);
+ sub_quantized_different_scales::get_examples_14());
}
TEST_F(ValidationTest, sub_quantized_different_scales_14) {
const Model model = sub_quantized_different_scales::createTestModel_14();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_14);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_14());
validateModel(model);
validateRequests(model, requests);
}
@@ -15665,12 +17163,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_15,
sub_quantized_different_scales::is_ignored_15,
- sub_quantized_different_scales::examples_15);
+ sub_quantized_different_scales::get_examples_15());
}
TEST_F(ValidationTest, sub_quantized_different_scales_15) {
const Model model = sub_quantized_different_scales::createTestModel_15();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_15);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_15());
validateModel(model);
validateRequests(model, requests);
}
@@ -15680,12 +17178,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_16,
sub_quantized_different_scales::is_ignored_16,
- sub_quantized_different_scales::examples_16);
+ sub_quantized_different_scales::get_examples_16());
}
TEST_F(ValidationTest, sub_quantized_different_scales_16) {
const Model model = sub_quantized_different_scales::createTestModel_16();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_16);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_16());
validateModel(model);
validateRequests(model, requests);
}
@@ -15695,12 +17193,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_17,
sub_quantized_different_scales::is_ignored_17,
- sub_quantized_different_scales::examples_17);
+ sub_quantized_different_scales::get_examples_17());
}
TEST_F(ValidationTest, sub_quantized_different_scales_17) {
const Model model = sub_quantized_different_scales::createTestModel_17();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_17);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_17());
validateModel(model);
validateRequests(model, requests);
}
@@ -15710,12 +17208,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_18,
sub_quantized_different_scales::is_ignored_18,
- sub_quantized_different_scales::examples_18);
+ sub_quantized_different_scales::get_examples_18());
}
TEST_F(ValidationTest, sub_quantized_different_scales_18) {
const Model model = sub_quantized_different_scales::createTestModel_18();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_18);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_18());
validateModel(model);
validateRequests(model, requests);
}
@@ -15725,12 +17223,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_19,
sub_quantized_different_scales::is_ignored_19,
- sub_quantized_different_scales::examples_19);
+ sub_quantized_different_scales::get_examples_19());
}
TEST_F(ValidationTest, sub_quantized_different_scales_19) {
const Model model = sub_quantized_different_scales::createTestModel_19();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_19);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_19());
validateModel(model);
validateRequests(model, requests);
}
@@ -15740,12 +17238,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_20,
sub_quantized_different_scales::is_ignored_20,
- sub_quantized_different_scales::examples_20);
+ sub_quantized_different_scales::get_examples_20());
}
TEST_F(ValidationTest, sub_quantized_different_scales_20) {
const Model model = sub_quantized_different_scales::createTestModel_20();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_20);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_20());
validateModel(model);
validateRequests(model, requests);
}
@@ -15755,12 +17253,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_21,
sub_quantized_different_scales::is_ignored_21,
- sub_quantized_different_scales::examples_21);
+ sub_quantized_different_scales::get_examples_21());
}
TEST_F(ValidationTest, sub_quantized_different_scales_21) {
const Model model = sub_quantized_different_scales::createTestModel_21();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_21);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_21());
validateModel(model);
validateRequests(model, requests);
}
@@ -15770,12 +17268,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_22,
sub_quantized_different_scales::is_ignored_22,
- sub_quantized_different_scales::examples_22);
+ sub_quantized_different_scales::get_examples_22());
}
TEST_F(ValidationTest, sub_quantized_different_scales_22) {
const Model model = sub_quantized_different_scales::createTestModel_22();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_22);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_22());
validateModel(model);
validateRequests(model, requests);
}
@@ -15785,12 +17283,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_23,
sub_quantized_different_scales::is_ignored_23,
- sub_quantized_different_scales::examples_23);
+ sub_quantized_different_scales::get_examples_23());
}
TEST_F(ValidationTest, sub_quantized_different_scales_23) {
const Model model = sub_quantized_different_scales::createTestModel_23();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_23);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_23());
validateModel(model);
validateRequests(model, requests);
}
@@ -15800,12 +17298,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_24,
sub_quantized_different_scales::is_ignored_24,
- sub_quantized_different_scales::examples_24);
+ sub_quantized_different_scales::get_examples_24());
}
TEST_F(ValidationTest, sub_quantized_different_scales_24) {
const Model model = sub_quantized_different_scales::createTestModel_24();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_24);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_24());
validateModel(model);
validateRequests(model, requests);
}
@@ -15815,12 +17313,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_25,
sub_quantized_different_scales::is_ignored_25,
- sub_quantized_different_scales::examples_25);
+ sub_quantized_different_scales::get_examples_25());
}
TEST_F(ValidationTest, sub_quantized_different_scales_25) {
const Model model = sub_quantized_different_scales::createTestModel_25();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_25);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_25());
validateModel(model);
validateRequests(model, requests);
}
@@ -15830,12 +17328,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_26,
sub_quantized_different_scales::is_ignored_26,
- sub_quantized_different_scales::examples_26);
+ sub_quantized_different_scales::get_examples_26());
}
TEST_F(ValidationTest, sub_quantized_different_scales_26) {
const Model model = sub_quantized_different_scales::createTestModel_26();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_26);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_26());
validateModel(model);
validateRequests(model, requests);
}
@@ -15845,12 +17343,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_27,
sub_quantized_different_scales::is_ignored_27,
- sub_quantized_different_scales::examples_27);
+ sub_quantized_different_scales::get_examples_27());
}
TEST_F(ValidationTest, sub_quantized_different_scales_27) {
const Model model = sub_quantized_different_scales::createTestModel_27();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_27);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_27());
validateModel(model);
validateRequests(model, requests);
}
@@ -15860,12 +17358,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_28,
sub_quantized_different_scales::is_ignored_28,
- sub_quantized_different_scales::examples_28);
+ sub_quantized_different_scales::get_examples_28());
}
TEST_F(ValidationTest, sub_quantized_different_scales_28) {
const Model model = sub_quantized_different_scales::createTestModel_28();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_28);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_28());
validateModel(model);
validateRequests(model, requests);
}
@@ -15875,12 +17373,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_29,
sub_quantized_different_scales::is_ignored_29,
- sub_quantized_different_scales::examples_29);
+ sub_quantized_different_scales::get_examples_29());
}
TEST_F(ValidationTest, sub_quantized_different_scales_29) {
const Model model = sub_quantized_different_scales::createTestModel_29();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_29);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_29());
validateModel(model);
validateRequests(model, requests);
}
@@ -15890,12 +17388,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_30,
sub_quantized_different_scales::is_ignored_30,
- sub_quantized_different_scales::examples_30);
+ sub_quantized_different_scales::get_examples_30());
}
TEST_F(ValidationTest, sub_quantized_different_scales_30) {
const Model model = sub_quantized_different_scales::createTestModel_30();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_30);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_30());
validateModel(model);
validateRequests(model, requests);
}
@@ -15905,12 +17403,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_31,
sub_quantized_different_scales::is_ignored_31,
- sub_quantized_different_scales::examples_31);
+ sub_quantized_different_scales::get_examples_31());
}
TEST_F(ValidationTest, sub_quantized_different_scales_31) {
const Model model = sub_quantized_different_scales::createTestModel_31();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_31);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_31());
validateModel(model);
validateRequests(model, requests);
}
@@ -15920,12 +17418,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_32,
sub_quantized_different_scales::is_ignored_32,
- sub_quantized_different_scales::examples_32);
+ sub_quantized_different_scales::get_examples_32());
}
TEST_F(ValidationTest, sub_quantized_different_scales_32) {
const Model model = sub_quantized_different_scales::createTestModel_32();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_32);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_32());
validateModel(model);
validateRequests(model, requests);
}
@@ -15935,12 +17433,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_33,
sub_quantized_different_scales::is_ignored_33,
- sub_quantized_different_scales::examples_33);
+ sub_quantized_different_scales::get_examples_33());
}
TEST_F(ValidationTest, sub_quantized_different_scales_33) {
const Model model = sub_quantized_different_scales::createTestModel_33();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_33);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_33());
validateModel(model);
validateRequests(model, requests);
}
@@ -15950,12 +17448,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_34,
sub_quantized_different_scales::is_ignored_34,
- sub_quantized_different_scales::examples_34);
+ sub_quantized_different_scales::get_examples_34());
}
TEST_F(ValidationTest, sub_quantized_different_scales_34) {
const Model model = sub_quantized_different_scales::createTestModel_34();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_34);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_34());
validateModel(model);
validateRequests(model, requests);
}
@@ -15965,12 +17463,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_35,
sub_quantized_different_scales::is_ignored_35,
- sub_quantized_different_scales::examples_35);
+ sub_quantized_different_scales::get_examples_35());
}
TEST_F(ValidationTest, sub_quantized_different_scales_35) {
const Model model = sub_quantized_different_scales::createTestModel_35();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_35);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_35());
validateModel(model);
validateRequests(model, requests);
}
@@ -15980,12 +17478,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_36,
sub_quantized_different_scales::is_ignored_36,
- sub_quantized_different_scales::examples_36);
+ sub_quantized_different_scales::get_examples_36());
}
TEST_F(ValidationTest, sub_quantized_different_scales_36) {
const Model model = sub_quantized_different_scales::createTestModel_36();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_36);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_36());
validateModel(model);
validateRequests(model, requests);
}
@@ -15995,12 +17493,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_37,
sub_quantized_different_scales::is_ignored_37,
- sub_quantized_different_scales::examples_37);
+ sub_quantized_different_scales::get_examples_37());
}
TEST_F(ValidationTest, sub_quantized_different_scales_37) {
const Model model = sub_quantized_different_scales::createTestModel_37();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_37);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_37());
validateModel(model);
validateRequests(model, requests);
}
@@ -16010,12 +17508,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_38,
sub_quantized_different_scales::is_ignored_38,
- sub_quantized_different_scales::examples_38);
+ sub_quantized_different_scales::get_examples_38());
}
TEST_F(ValidationTest, sub_quantized_different_scales_38) {
const Model model = sub_quantized_different_scales::createTestModel_38();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_38);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_38());
validateModel(model);
validateRequests(model, requests);
}
@@ -16025,12 +17523,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_39,
sub_quantized_different_scales::is_ignored_39,
- sub_quantized_different_scales::examples_39);
+ sub_quantized_different_scales::get_examples_39());
}
TEST_F(ValidationTest, sub_quantized_different_scales_39) {
const Model model = sub_quantized_different_scales::createTestModel_39();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_39);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_39());
validateModel(model);
validateRequests(model, requests);
}
@@ -16040,12 +17538,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_40,
sub_quantized_different_scales::is_ignored_40,
- sub_quantized_different_scales::examples_40);
+ sub_quantized_different_scales::get_examples_40());
}
TEST_F(ValidationTest, sub_quantized_different_scales_40) {
const Model model = sub_quantized_different_scales::createTestModel_40();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_40);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_40());
validateModel(model);
validateRequests(model, requests);
}
@@ -16055,12 +17553,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_41,
sub_quantized_different_scales::is_ignored_41,
- sub_quantized_different_scales::examples_41);
+ sub_quantized_different_scales::get_examples_41());
}
TEST_F(ValidationTest, sub_quantized_different_scales_41) {
const Model model = sub_quantized_different_scales::createTestModel_41();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_41);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_41());
validateModel(model);
validateRequests(model, requests);
}
@@ -16070,12 +17568,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_42,
sub_quantized_different_scales::is_ignored_42,
- sub_quantized_different_scales::examples_42);
+ sub_quantized_different_scales::get_examples_42());
}
TEST_F(ValidationTest, sub_quantized_different_scales_42) {
const Model model = sub_quantized_different_scales::createTestModel_42();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_42);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_42());
validateModel(model);
validateRequests(model, requests);
}
@@ -16085,12 +17583,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_43,
sub_quantized_different_scales::is_ignored_43,
- sub_quantized_different_scales::examples_43);
+ sub_quantized_different_scales::get_examples_43());
}
TEST_F(ValidationTest, sub_quantized_different_scales_43) {
const Model model = sub_quantized_different_scales::createTestModel_43();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_43);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_43());
validateModel(model);
validateRequests(model, requests);
}
@@ -16100,12 +17598,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_44,
sub_quantized_different_scales::is_ignored_44,
- sub_quantized_different_scales::examples_44);
+ sub_quantized_different_scales::get_examples_44());
}
TEST_F(ValidationTest, sub_quantized_different_scales_44) {
const Model model = sub_quantized_different_scales::createTestModel_44();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_44);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_44());
validateModel(model);
validateRequests(model, requests);
}
@@ -16115,12 +17613,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_45,
sub_quantized_different_scales::is_ignored_45,
- sub_quantized_different_scales::examples_45);
+ sub_quantized_different_scales::get_examples_45());
}
TEST_F(ValidationTest, sub_quantized_different_scales_45) {
const Model model = sub_quantized_different_scales::createTestModel_45();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_45);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_45());
validateModel(model);
validateRequests(model, requests);
}
@@ -16130,12 +17628,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_46,
sub_quantized_different_scales::is_ignored_46,
- sub_quantized_different_scales::examples_46);
+ sub_quantized_different_scales::get_examples_46());
}
TEST_F(ValidationTest, sub_quantized_different_scales_46) {
const Model model = sub_quantized_different_scales::createTestModel_46();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_46);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_46());
validateModel(model);
validateRequests(model, requests);
}
@@ -16145,12 +17643,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_47,
sub_quantized_different_scales::is_ignored_47,
- sub_quantized_different_scales::examples_47);
+ sub_quantized_different_scales::get_examples_47());
}
TEST_F(ValidationTest, sub_quantized_different_scales_47) {
const Model model = sub_quantized_different_scales::createTestModel_47();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_47);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_47());
validateModel(model);
validateRequests(model, requests);
}
@@ -16160,12 +17658,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_48,
sub_quantized_different_scales::is_ignored_48,
- sub_quantized_different_scales::examples_48);
+ sub_quantized_different_scales::get_examples_48());
}
TEST_F(ValidationTest, sub_quantized_different_scales_48) {
const Model model = sub_quantized_different_scales::createTestModel_48();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_48);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_48());
validateModel(model);
validateRequests(model, requests);
}
@@ -16175,12 +17673,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_49,
sub_quantized_different_scales::is_ignored_49,
- sub_quantized_different_scales::examples_49);
+ sub_quantized_different_scales::get_examples_49());
}
TEST_F(ValidationTest, sub_quantized_different_scales_49) {
const Model model = sub_quantized_different_scales::createTestModel_49();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_49);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_49());
validateModel(model);
validateRequests(model, requests);
}
@@ -16190,12 +17688,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_50,
sub_quantized_different_scales::is_ignored_50,
- sub_quantized_different_scales::examples_50);
+ sub_quantized_different_scales::get_examples_50());
}
TEST_F(ValidationTest, sub_quantized_different_scales_50) {
const Model model = sub_quantized_different_scales::createTestModel_50();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_50);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_50());
validateModel(model);
validateRequests(model, requests);
}
@@ -16205,12 +17703,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_51,
sub_quantized_different_scales::is_ignored_51,
- sub_quantized_different_scales::examples_51);
+ sub_quantized_different_scales::get_examples_51());
}
TEST_F(ValidationTest, sub_quantized_different_scales_51) {
const Model model = sub_quantized_different_scales::createTestModel_51();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_51);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_51());
validateModel(model);
validateRequests(model, requests);
}
@@ -16220,12 +17718,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_52,
sub_quantized_different_scales::is_ignored_52,
- sub_quantized_different_scales::examples_52);
+ sub_quantized_different_scales::get_examples_52());
}
TEST_F(ValidationTest, sub_quantized_different_scales_52) {
const Model model = sub_quantized_different_scales::createTestModel_52();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_52);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_52());
validateModel(model);
validateRequests(model, requests);
}
@@ -16235,12 +17733,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_53,
sub_quantized_different_scales::is_ignored_53,
- sub_quantized_different_scales::examples_53);
+ sub_quantized_different_scales::get_examples_53());
}
TEST_F(ValidationTest, sub_quantized_different_scales_53) {
const Model model = sub_quantized_different_scales::createTestModel_53();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_53);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_53());
validateModel(model);
validateRequests(model, requests);
}
@@ -16250,12 +17748,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_54,
sub_quantized_different_scales::is_ignored_54,
- sub_quantized_different_scales::examples_54);
+ sub_quantized_different_scales::get_examples_54());
}
TEST_F(ValidationTest, sub_quantized_different_scales_54) {
const Model model = sub_quantized_different_scales::createTestModel_54();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_54);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_54());
validateModel(model);
validateRequests(model, requests);
}
@@ -16265,12 +17763,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_55,
sub_quantized_different_scales::is_ignored_55,
- sub_quantized_different_scales::examples_55);
+ sub_quantized_different_scales::get_examples_55());
}
TEST_F(ValidationTest, sub_quantized_different_scales_55) {
const Model model = sub_quantized_different_scales::createTestModel_55();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_55);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_55());
validateModel(model);
validateRequests(model, requests);
}
@@ -16280,12 +17778,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_56,
sub_quantized_different_scales::is_ignored_56,
- sub_quantized_different_scales::examples_56);
+ sub_quantized_different_scales::get_examples_56());
}
TEST_F(ValidationTest, sub_quantized_different_scales_56) {
const Model model = sub_quantized_different_scales::createTestModel_56();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_56);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_56());
validateModel(model);
validateRequests(model, requests);
}
@@ -16295,12 +17793,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_57,
sub_quantized_different_scales::is_ignored_57,
- sub_quantized_different_scales::examples_57);
+ sub_quantized_different_scales::get_examples_57());
}
TEST_F(ValidationTest, sub_quantized_different_scales_57) {
const Model model = sub_quantized_different_scales::createTestModel_57();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_57);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_57());
validateModel(model);
validateRequests(model, requests);
}
@@ -16310,12 +17808,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_58,
sub_quantized_different_scales::is_ignored_58,
- sub_quantized_different_scales::examples_58);
+ sub_quantized_different_scales::get_examples_58());
}
TEST_F(ValidationTest, sub_quantized_different_scales_58) {
const Model model = sub_quantized_different_scales::createTestModel_58();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_58);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_58());
validateModel(model);
validateRequests(model, requests);
}
@@ -16325,12 +17823,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_59,
sub_quantized_different_scales::is_ignored_59,
- sub_quantized_different_scales::examples_59);
+ sub_quantized_different_scales::get_examples_59());
}
TEST_F(ValidationTest, sub_quantized_different_scales_59) {
const Model model = sub_quantized_different_scales::createTestModel_59();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_59);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_59());
validateModel(model);
validateRequests(model, requests);
}
@@ -16340,12 +17838,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_60,
sub_quantized_different_scales::is_ignored_60,
- sub_quantized_different_scales::examples_60);
+ sub_quantized_different_scales::get_examples_60());
}
TEST_F(ValidationTest, sub_quantized_different_scales_60) {
const Model model = sub_quantized_different_scales::createTestModel_60();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_60);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_60());
validateModel(model);
validateRequests(model, requests);
}
@@ -16355,12 +17853,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_61,
sub_quantized_different_scales::is_ignored_61,
- sub_quantized_different_scales::examples_61);
+ sub_quantized_different_scales::get_examples_61());
}
TEST_F(ValidationTest, sub_quantized_different_scales_61) {
const Model model = sub_quantized_different_scales::createTestModel_61();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_61);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_61());
validateModel(model);
validateRequests(model, requests);
}
@@ -16370,12 +17868,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_62,
sub_quantized_different_scales::is_ignored_62,
- sub_quantized_different_scales::examples_62);
+ sub_quantized_different_scales::get_examples_62());
}
TEST_F(ValidationTest, sub_quantized_different_scales_62) {
const Model model = sub_quantized_different_scales::createTestModel_62();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_62);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_62());
validateModel(model);
validateRequests(model, requests);
}
@@ -16385,12 +17883,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_63,
sub_quantized_different_scales::is_ignored_63,
- sub_quantized_different_scales::examples_63);
+ sub_quantized_different_scales::get_examples_63());
}
TEST_F(ValidationTest, sub_quantized_different_scales_63) {
const Model model = sub_quantized_different_scales::createTestModel_63();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_63);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_63());
validateModel(model);
validateRequests(model, requests);
}
@@ -16400,12 +17898,12 @@
generated_tests::Execute(device,
sub_quantized_different_scales::createTestModel_64,
sub_quantized_different_scales::is_ignored_64,
- sub_quantized_different_scales::examples_64);
+ sub_quantized_different_scales::get_examples_64());
}
TEST_F(ValidationTest, sub_quantized_different_scales_64) {
const Model model = sub_quantized_different_scales::createTestModel_64();
- const std::vector<Request> requests = createRequests(sub_quantized_different_scales::examples_64);
+ const std::vector<Request> requests = createRequests(sub_quantized_different_scales::get_examples_64());
validateModel(model);
validateRequests(model, requests);
}
@@ -16423,12 +17921,12 @@
generated_tests::Execute(device,
tanh_float16::createTestModel,
tanh_float16::is_ignored,
- tanh_float16::examples);
+ tanh_float16::get_examples());
}
TEST_F(ValidationTest, tanh_float16) {
const Model model = tanh_float16::createTestModel();
- const std::vector<Request> requests = createRequests(tanh_float16::examples);
+ const std::vector<Request> requests = createRequests(tanh_float16::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -16446,12 +17944,12 @@
generated_tests::Execute(device,
tanh_quantized::createTestModel,
tanh_quantized::is_ignored,
- tanh_quantized::examples);
+ tanh_quantized::get_examples());
}
TEST_F(ValidationTest, tanh_quantized) {
const Model model = tanh_quantized::createTestModel();
- const std::vector<Request> requests = createRequests(tanh_quantized::examples);
+ const std::vector<Request> requests = createRequests(tanh_quantized::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -16469,12 +17967,12 @@
generated_tests::Execute(device,
tile_1::createTestModel,
tile_1::is_ignored,
- tile_1::examples);
+ tile_1::get_examples());
}
TEST_F(ValidationTest, tile_1) {
const Model model = tile_1::createTestModel();
- const std::vector<Request> requests = createRequests(tile_1::examples);
+ const std::vector<Request> requests = createRequests(tile_1::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -16484,12 +17982,12 @@
generated_tests::Execute(device,
tile_1::createTestModel_relaxed,
tile_1::is_ignored_relaxed,
- tile_1::examples_relaxed);
+ tile_1::get_examples_relaxed());
}
TEST_F(ValidationTest, tile_1_relaxed) {
const Model model = tile_1::createTestModel_relaxed();
- const std::vector<Request> requests = createRequests(tile_1::examples_relaxed);
+ const std::vector<Request> requests = createRequests(tile_1::get_examples_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -16499,12 +17997,12 @@
generated_tests::Execute(device,
tile_1::createTestModel_float16,
tile_1::is_ignored_float16,
- tile_1::examples_float16);
+ tile_1::get_examples_float16());
}
TEST_F(ValidationTest, tile_1_float16) {
const Model model = tile_1::createTestModel_float16();
- const std::vector<Request> requests = createRequests(tile_1::examples_float16);
+ const std::vector<Request> requests = createRequests(tile_1::get_examples_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -16514,12 +18012,12 @@
generated_tests::Execute(device,
tile_1::createTestModel_quant8,
tile_1::is_ignored_quant8,
- tile_1::examples_quant8);
+ tile_1::get_examples_quant8());
}
TEST_F(ValidationTest, tile_1_quant8) {
const Model model = tile_1::createTestModel_quant8();
- const std::vector<Request> requests = createRequests(tile_1::examples_quant8);
+ const std::vector<Request> requests = createRequests(tile_1::get_examples_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -16537,12 +18035,12 @@
generated_tests::Execute(device,
tile_2::createTestModel,
tile_2::is_ignored,
- tile_2::examples);
+ tile_2::get_examples());
}
TEST_F(ValidationTest, tile_2) {
const Model model = tile_2::createTestModel();
- const std::vector<Request> requests = createRequests(tile_2::examples);
+ const std::vector<Request> requests = createRequests(tile_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -16552,12 +18050,12 @@
generated_tests::Execute(device,
tile_2::createTestModel_relaxed,
tile_2::is_ignored_relaxed,
- tile_2::examples_relaxed);
+ tile_2::get_examples_relaxed());
}
TEST_F(ValidationTest, tile_2_relaxed) {
const Model model = tile_2::createTestModel_relaxed();
- const std::vector<Request> requests = createRequests(tile_2::examples_relaxed);
+ const std::vector<Request> requests = createRequests(tile_2::get_examples_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -16567,12 +18065,12 @@
generated_tests::Execute(device,
tile_2::createTestModel_float16,
tile_2::is_ignored_float16,
- tile_2::examples_float16);
+ tile_2::get_examples_float16());
}
TEST_F(ValidationTest, tile_2_float16) {
const Model model = tile_2::createTestModel_float16();
- const std::vector<Request> requests = createRequests(tile_2::examples_float16);
+ const std::vector<Request> requests = createRequests(tile_2::get_examples_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -16582,12 +18080,12 @@
generated_tests::Execute(device,
tile_2::createTestModel_quant8,
tile_2::is_ignored_quant8,
- tile_2::examples_quant8);
+ tile_2::get_examples_quant8());
}
TEST_F(ValidationTest, tile_2_quant8) {
const Model model = tile_2::createTestModel_quant8();
- const std::vector<Request> requests = createRequests(tile_2::examples_quant8);
+ const std::vector<Request> requests = createRequests(tile_2::get_examples_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -16597,12 +18095,12 @@
generated_tests::Execute(device,
tile_2::createTestModel_int32,
tile_2::is_ignored_int32,
- tile_2::examples_int32);
+ tile_2::get_examples_int32());
}
TEST_F(ValidationTest, tile_2_int32) {
const Model model = tile_2::createTestModel_int32();
- const std::vector<Request> requests = createRequests(tile_2::examples_int32);
+ const std::vector<Request> requests = createRequests(tile_2::get_examples_int32());
validateModel(model);
validateRequests(model, requests);
}
@@ -16620,12 +18118,12 @@
generated_tests::Execute(device,
tile_3::createTestModel,
tile_3::is_ignored,
- tile_3::examples);
+ tile_3::get_examples());
}
TEST_F(ValidationTest, tile_3) {
const Model model = tile_3::createTestModel();
- const std::vector<Request> requests = createRequests(tile_3::examples);
+ const std::vector<Request> requests = createRequests(tile_3::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -16635,12 +18133,12 @@
generated_tests::Execute(device,
tile_3::createTestModel_relaxed,
tile_3::is_ignored_relaxed,
- tile_3::examples_relaxed);
+ tile_3::get_examples_relaxed());
}
TEST_F(ValidationTest, tile_3_relaxed) {
const Model model = tile_3::createTestModel_relaxed();
- const std::vector<Request> requests = createRequests(tile_3::examples_relaxed);
+ const std::vector<Request> requests = createRequests(tile_3::get_examples_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -16650,12 +18148,12 @@
generated_tests::Execute(device,
tile_3::createTestModel_float16,
tile_3::is_ignored_float16,
- tile_3::examples_float16);
+ tile_3::get_examples_float16());
}
TEST_F(ValidationTest, tile_3_float16) {
const Model model = tile_3::createTestModel_float16();
- const std::vector<Request> requests = createRequests(tile_3::examples_float16);
+ const std::vector<Request> requests = createRequests(tile_3::get_examples_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -16665,12 +18163,12 @@
generated_tests::Execute(device,
tile_3::createTestModel_quant8,
tile_3::is_ignored_quant8,
- tile_3::examples_quant8);
+ tile_3::get_examples_quant8());
}
TEST_F(ValidationTest, tile_3_quant8) {
const Model model = tile_3::createTestModel_quant8();
- const std::vector<Request> requests = createRequests(tile_3::examples_quant8);
+ const std::vector<Request> requests = createRequests(tile_3::get_examples_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -16680,12 +18178,12 @@
generated_tests::Execute(device,
tile_3::createTestModel_int32,
tile_3::is_ignored_int32,
- tile_3::examples_int32);
+ tile_3::get_examples_int32());
}
TEST_F(ValidationTest, tile_3_int32) {
const Model model = tile_3::createTestModel_int32();
- const std::vector<Request> requests = createRequests(tile_3::examples_int32);
+ const std::vector<Request> requests = createRequests(tile_3::get_examples_int32());
validateModel(model);
validateRequests(model, requests);
}
@@ -16703,12 +18201,12 @@
generated_tests::Execute(device,
topk_v2::createTestModel,
topk_v2::is_ignored,
- topk_v2::examples);
+ topk_v2::get_examples());
}
TEST_F(ValidationTest, topk_v2) {
const Model model = topk_v2::createTestModel();
- const std::vector<Request> requests = createRequests(topk_v2::examples);
+ const std::vector<Request> requests = createRequests(topk_v2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -16718,12 +18216,12 @@
generated_tests::Execute(device,
topk_v2::createTestModel_relaxed,
topk_v2::is_ignored_relaxed,
- topk_v2::examples_relaxed);
+ topk_v2::get_examples_relaxed());
}
TEST_F(ValidationTest, topk_v2_relaxed) {
const Model model = topk_v2::createTestModel_relaxed();
- const std::vector<Request> requests = createRequests(topk_v2::examples_relaxed);
+ const std::vector<Request> requests = createRequests(topk_v2::get_examples_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -16733,12 +18231,12 @@
generated_tests::Execute(device,
topk_v2::createTestModel_float16,
topk_v2::is_ignored_float16,
- topk_v2::examples_float16);
+ topk_v2::get_examples_float16());
}
TEST_F(ValidationTest, topk_v2_float16) {
const Model model = topk_v2::createTestModel_float16();
- const std::vector<Request> requests = createRequests(topk_v2::examples_float16);
+ const std::vector<Request> requests = createRequests(topk_v2::get_examples_float16());
validateModel(model);
validateRequests(model, requests);
}
@@ -16748,12 +18246,12 @@
generated_tests::Execute(device,
topk_v2::createTestModel_2,
topk_v2::is_ignored_2,
- topk_v2::examples_2);
+ topk_v2::get_examples_2());
}
TEST_F(ValidationTest, topk_v2_2) {
const Model model = topk_v2::createTestModel_2();
- const std::vector<Request> requests = createRequests(topk_v2::examples_2);
+ const std::vector<Request> requests = createRequests(topk_v2::get_examples_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -16763,12 +18261,12 @@
generated_tests::Execute(device,
topk_v2::createTestModel_relaxed_2,
topk_v2::is_ignored_relaxed_2,
- topk_v2::examples_relaxed_2);
+ topk_v2::get_examples_relaxed_2());
}
TEST_F(ValidationTest, topk_v2_relaxed_2) {
const Model model = topk_v2::createTestModel_relaxed_2();
- const std::vector<Request> requests = createRequests(topk_v2::examples_relaxed_2);
+ const std::vector<Request> requests = createRequests(topk_v2::get_examples_relaxed_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -16778,12 +18276,12 @@
generated_tests::Execute(device,
topk_v2::createTestModel_float16_2,
topk_v2::is_ignored_float16_2,
- topk_v2::examples_float16_2);
+ topk_v2::get_examples_float16_2());
}
TEST_F(ValidationTest, topk_v2_float16_2) {
const Model model = topk_v2::createTestModel_float16_2();
- const std::vector<Request> requests = createRequests(topk_v2::examples_float16_2);
+ const std::vector<Request> requests = createRequests(topk_v2::get_examples_float16_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -16793,12 +18291,12 @@
generated_tests::Execute(device,
topk_v2::createTestModel_3,
topk_v2::is_ignored_3,
- topk_v2::examples_3);
+ topk_v2::get_examples_3());
}
TEST_F(ValidationTest, topk_v2_3) {
const Model model = topk_v2::createTestModel_3();
- const std::vector<Request> requests = createRequests(topk_v2::examples_3);
+ const std::vector<Request> requests = createRequests(topk_v2::get_examples_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -16808,12 +18306,12 @@
generated_tests::Execute(device,
topk_v2::createTestModel_relaxed_3,
topk_v2::is_ignored_relaxed_3,
- topk_v2::examples_relaxed_3);
+ topk_v2::get_examples_relaxed_3());
}
TEST_F(ValidationTest, topk_v2_relaxed_3) {
const Model model = topk_v2::createTestModel_relaxed_3();
- const std::vector<Request> requests = createRequests(topk_v2::examples_relaxed_3);
+ const std::vector<Request> requests = createRequests(topk_v2::get_examples_relaxed_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -16823,12 +18321,12 @@
generated_tests::Execute(device,
topk_v2::createTestModel_float16_3,
topk_v2::is_ignored_float16_3,
- topk_v2::examples_float16_3);
+ topk_v2::get_examples_float16_3());
}
TEST_F(ValidationTest, topk_v2_float16_3) {
const Model model = topk_v2::createTestModel_float16_3();
- const std::vector<Request> requests = createRequests(topk_v2::examples_float16_3);
+ const std::vector<Request> requests = createRequests(topk_v2::get_examples_float16_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -16838,12 +18336,12 @@
generated_tests::Execute(device,
topk_v2::createTestModel_4,
topk_v2::is_ignored_4,
- topk_v2::examples_4);
+ topk_v2::get_examples_4());
}
TEST_F(ValidationTest, topk_v2_4) {
const Model model = topk_v2::createTestModel_4();
- const std::vector<Request> requests = createRequests(topk_v2::examples_4);
+ const std::vector<Request> requests = createRequests(topk_v2::get_examples_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -16853,12 +18351,12 @@
generated_tests::Execute(device,
topk_v2::createTestModel_relaxed_4,
topk_v2::is_ignored_relaxed_4,
- topk_v2::examples_relaxed_4);
+ topk_v2::get_examples_relaxed_4());
}
TEST_F(ValidationTest, topk_v2_relaxed_4) {
const Model model = topk_v2::createTestModel_relaxed_4();
- const std::vector<Request> requests = createRequests(topk_v2::examples_relaxed_4);
+ const std::vector<Request> requests = createRequests(topk_v2::get_examples_relaxed_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -16868,12 +18366,12 @@
generated_tests::Execute(device,
topk_v2::createTestModel_float16_4,
topk_v2::is_ignored_float16_4,
- topk_v2::examples_float16_4);
+ topk_v2::get_examples_float16_4());
}
TEST_F(ValidationTest, topk_v2_float16_4) {
const Model model = topk_v2::createTestModel_float16_4();
- const std::vector<Request> requests = createRequests(topk_v2::examples_float16_4);
+ const std::vector<Request> requests = createRequests(topk_v2::get_examples_float16_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -16883,12 +18381,12 @@
generated_tests::Execute(device,
topk_v2::createTestModel_5,
topk_v2::is_ignored_5,
- topk_v2::examples_5);
+ topk_v2::get_examples_5());
}
TEST_F(ValidationTest, topk_v2_5) {
const Model model = topk_v2::createTestModel_5();
- const std::vector<Request> requests = createRequests(topk_v2::examples_5);
+ const std::vector<Request> requests = createRequests(topk_v2::get_examples_5());
validateModel(model);
validateRequests(model, requests);
}
@@ -16898,12 +18396,12 @@
generated_tests::Execute(device,
topk_v2::createTestModel_relaxed_5,
topk_v2::is_ignored_relaxed_5,
- topk_v2::examples_relaxed_5);
+ topk_v2::get_examples_relaxed_5());
}
TEST_F(ValidationTest, topk_v2_relaxed_5) {
const Model model = topk_v2::createTestModel_relaxed_5();
- const std::vector<Request> requests = createRequests(topk_v2::examples_relaxed_5);
+ const std::vector<Request> requests = createRequests(topk_v2::get_examples_relaxed_5());
validateModel(model);
validateRequests(model, requests);
}
@@ -16913,12 +18411,12 @@
generated_tests::Execute(device,
topk_v2::createTestModel_float16_5,
topk_v2::is_ignored_float16_5,
- topk_v2::examples_float16_5);
+ topk_v2::get_examples_float16_5());
}
TEST_F(ValidationTest, topk_v2_float16_5) {
const Model model = topk_v2::createTestModel_float16_5();
- const std::vector<Request> requests = createRequests(topk_v2::examples_float16_5);
+ const std::vector<Request> requests = createRequests(topk_v2::get_examples_float16_5());
validateModel(model);
validateRequests(model, requests);
}
@@ -16928,12 +18426,12 @@
generated_tests::Execute(device,
topk_v2::createTestModel_6,
topk_v2::is_ignored_6,
- topk_v2::examples_6);
+ topk_v2::get_examples_6());
}
TEST_F(ValidationTest, topk_v2_6) {
const Model model = topk_v2::createTestModel_6();
- const std::vector<Request> requests = createRequests(topk_v2::examples_6);
+ const std::vector<Request> requests = createRequests(topk_v2::get_examples_6());
validateModel(model);
validateRequests(model, requests);
}
@@ -16943,12 +18441,12 @@
generated_tests::Execute(device,
topk_v2::createTestModel_relaxed_6,
topk_v2::is_ignored_relaxed_6,
- topk_v2::examples_relaxed_6);
+ topk_v2::get_examples_relaxed_6());
}
TEST_F(ValidationTest, topk_v2_relaxed_6) {
const Model model = topk_v2::createTestModel_relaxed_6();
- const std::vector<Request> requests = createRequests(topk_v2::examples_relaxed_6);
+ const std::vector<Request> requests = createRequests(topk_v2::get_examples_relaxed_6());
validateModel(model);
validateRequests(model, requests);
}
@@ -16958,12 +18456,12 @@
generated_tests::Execute(device,
topk_v2::createTestModel_float16_6,
topk_v2::is_ignored_float16_6,
- topk_v2::examples_float16_6);
+ topk_v2::get_examples_float16_6());
}
TEST_F(ValidationTest, topk_v2_float16_6) {
const Model model = topk_v2::createTestModel_float16_6();
- const std::vector<Request> requests = createRequests(topk_v2::examples_float16_6);
+ const std::vector<Request> requests = createRequests(topk_v2::get_examples_float16_6());
validateModel(model);
validateRequests(model, requests);
}
@@ -16981,12 +18479,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_none,
transpose_conv2d::is_ignored_nhwc_none,
- transpose_conv2d::examples_nhwc_none);
+ transpose_conv2d::get_examples_nhwc_none());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_none) {
const Model model = transpose_conv2d::createTestModel_nhwc_none();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_none);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_none());
validateModel(model);
validateRequests(model, requests);
}
@@ -16996,12 +18494,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_none_weight_as_input,
transpose_conv2d::is_ignored_nhwc_none_weight_as_input,
- transpose_conv2d::examples_nhwc_none_weight_as_input);
+ transpose_conv2d::get_examples_nhwc_none_weight_as_input());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_none_weight_as_input) {
const Model model = transpose_conv2d::createTestModel_nhwc_none_weight_as_input();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_none_weight_as_input);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_none_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -17011,12 +18509,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_none_relaxed,
transpose_conv2d::is_ignored_nhwc_none_relaxed,
- transpose_conv2d::examples_nhwc_none_relaxed);
+ transpose_conv2d::get_examples_nhwc_none_relaxed());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_none_relaxed) {
const Model model = transpose_conv2d::createTestModel_nhwc_none_relaxed();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_none_relaxed);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_none_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -17026,12 +18524,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_none_relaxed_weight_as_input,
transpose_conv2d::is_ignored_nhwc_none_relaxed_weight_as_input,
- transpose_conv2d::examples_nhwc_none_relaxed_weight_as_input);
+ transpose_conv2d::get_examples_nhwc_none_relaxed_weight_as_input());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_none_relaxed_weight_as_input) {
const Model model = transpose_conv2d::createTestModel_nhwc_none_relaxed_weight_as_input();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_none_relaxed_weight_as_input);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_none_relaxed_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -17041,12 +18539,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_none_quant8,
transpose_conv2d::is_ignored_nhwc_none_quant8,
- transpose_conv2d::examples_nhwc_none_quant8);
+ transpose_conv2d::get_examples_nhwc_none_quant8());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_none_quant8) {
const Model model = transpose_conv2d::createTestModel_nhwc_none_quant8();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_none_quant8);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_none_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -17056,12 +18554,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_none_quant8_weight_as_input,
transpose_conv2d::is_ignored_nhwc_none_quant8_weight_as_input,
- transpose_conv2d::examples_nhwc_none_quant8_weight_as_input);
+ transpose_conv2d::get_examples_nhwc_none_quant8_weight_as_input());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_none_quant8_weight_as_input) {
const Model model = transpose_conv2d::createTestModel_nhwc_none_quant8_weight_as_input();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_none_quant8_weight_as_input);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_none_quant8_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -17071,12 +18569,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_relu,
transpose_conv2d::is_ignored_nhwc_relu,
- transpose_conv2d::examples_nhwc_relu);
+ transpose_conv2d::get_examples_nhwc_relu());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_relu) {
const Model model = transpose_conv2d::createTestModel_nhwc_relu();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_relu);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_relu());
validateModel(model);
validateRequests(model, requests);
}
@@ -17086,12 +18584,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_relu_weight_as_input,
transpose_conv2d::is_ignored_nhwc_relu_weight_as_input,
- transpose_conv2d::examples_nhwc_relu_weight_as_input);
+ transpose_conv2d::get_examples_nhwc_relu_weight_as_input());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_relu_weight_as_input) {
const Model model = transpose_conv2d::createTestModel_nhwc_relu_weight_as_input();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_relu_weight_as_input);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_relu_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -17101,12 +18599,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_relu_relaxed,
transpose_conv2d::is_ignored_nhwc_relu_relaxed,
- transpose_conv2d::examples_nhwc_relu_relaxed);
+ transpose_conv2d::get_examples_nhwc_relu_relaxed());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_relu_relaxed) {
const Model model = transpose_conv2d::createTestModel_nhwc_relu_relaxed();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_relu_relaxed);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_relu_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -17116,12 +18614,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_relu_relaxed_weight_as_input,
transpose_conv2d::is_ignored_nhwc_relu_relaxed_weight_as_input,
- transpose_conv2d::examples_nhwc_relu_relaxed_weight_as_input);
+ transpose_conv2d::get_examples_nhwc_relu_relaxed_weight_as_input());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_relu_relaxed_weight_as_input) {
const Model model = transpose_conv2d::createTestModel_nhwc_relu_relaxed_weight_as_input();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_relu_relaxed_weight_as_input);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_relu_relaxed_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -17131,12 +18629,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_relu_quant8,
transpose_conv2d::is_ignored_nhwc_relu_quant8,
- transpose_conv2d::examples_nhwc_relu_quant8);
+ transpose_conv2d::get_examples_nhwc_relu_quant8());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_relu_quant8) {
const Model model = transpose_conv2d::createTestModel_nhwc_relu_quant8();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_relu_quant8);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_relu_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -17146,12 +18644,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_relu_quant8_weight_as_input,
transpose_conv2d::is_ignored_nhwc_relu_quant8_weight_as_input,
- transpose_conv2d::examples_nhwc_relu_quant8_weight_as_input);
+ transpose_conv2d::get_examples_nhwc_relu_quant8_weight_as_input());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_relu_quant8_weight_as_input) {
const Model model = transpose_conv2d::createTestModel_nhwc_relu_quant8_weight_as_input();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_relu_quant8_weight_as_input);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_relu_quant8_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -17161,12 +18659,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_relu1,
transpose_conv2d::is_ignored_nhwc_relu1,
- transpose_conv2d::examples_nhwc_relu1);
+ transpose_conv2d::get_examples_nhwc_relu1());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_relu1) {
const Model model = transpose_conv2d::createTestModel_nhwc_relu1();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_relu1);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_relu1());
validateModel(model);
validateRequests(model, requests);
}
@@ -17176,12 +18674,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_relu1_weight_as_input,
transpose_conv2d::is_ignored_nhwc_relu1_weight_as_input,
- transpose_conv2d::examples_nhwc_relu1_weight_as_input);
+ transpose_conv2d::get_examples_nhwc_relu1_weight_as_input());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_relu1_weight_as_input) {
const Model model = transpose_conv2d::createTestModel_nhwc_relu1_weight_as_input();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_relu1_weight_as_input);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_relu1_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -17191,12 +18689,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_relu1_relaxed,
transpose_conv2d::is_ignored_nhwc_relu1_relaxed,
- transpose_conv2d::examples_nhwc_relu1_relaxed);
+ transpose_conv2d::get_examples_nhwc_relu1_relaxed());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_relu1_relaxed) {
const Model model = transpose_conv2d::createTestModel_nhwc_relu1_relaxed();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_relu1_relaxed);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_relu1_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -17206,12 +18704,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_relu1_relaxed_weight_as_input,
transpose_conv2d::is_ignored_nhwc_relu1_relaxed_weight_as_input,
- transpose_conv2d::examples_nhwc_relu1_relaxed_weight_as_input);
+ transpose_conv2d::get_examples_nhwc_relu1_relaxed_weight_as_input());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_relu1_relaxed_weight_as_input) {
const Model model = transpose_conv2d::createTestModel_nhwc_relu1_relaxed_weight_as_input();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_relu1_relaxed_weight_as_input);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_relu1_relaxed_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -17221,12 +18719,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_relu1_quant8,
transpose_conv2d::is_ignored_nhwc_relu1_quant8,
- transpose_conv2d::examples_nhwc_relu1_quant8);
+ transpose_conv2d::get_examples_nhwc_relu1_quant8());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_relu1_quant8) {
const Model model = transpose_conv2d::createTestModel_nhwc_relu1_quant8();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_relu1_quant8);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_relu1_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -17236,12 +18734,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_relu1_quant8_weight_as_input,
transpose_conv2d::is_ignored_nhwc_relu1_quant8_weight_as_input,
- transpose_conv2d::examples_nhwc_relu1_quant8_weight_as_input);
+ transpose_conv2d::get_examples_nhwc_relu1_quant8_weight_as_input());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_relu1_quant8_weight_as_input) {
const Model model = transpose_conv2d::createTestModel_nhwc_relu1_quant8_weight_as_input();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_relu1_quant8_weight_as_input);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_relu1_quant8_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -17251,12 +18749,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_relu6,
transpose_conv2d::is_ignored_nhwc_relu6,
- transpose_conv2d::examples_nhwc_relu6);
+ transpose_conv2d::get_examples_nhwc_relu6());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_relu6) {
const Model model = transpose_conv2d::createTestModel_nhwc_relu6();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_relu6);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_relu6());
validateModel(model);
validateRequests(model, requests);
}
@@ -17266,12 +18764,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_relu6_weight_as_input,
transpose_conv2d::is_ignored_nhwc_relu6_weight_as_input,
- transpose_conv2d::examples_nhwc_relu6_weight_as_input);
+ transpose_conv2d::get_examples_nhwc_relu6_weight_as_input());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_relu6_weight_as_input) {
const Model model = transpose_conv2d::createTestModel_nhwc_relu6_weight_as_input();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_relu6_weight_as_input);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_relu6_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -17281,12 +18779,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_relu6_relaxed,
transpose_conv2d::is_ignored_nhwc_relu6_relaxed,
- transpose_conv2d::examples_nhwc_relu6_relaxed);
+ transpose_conv2d::get_examples_nhwc_relu6_relaxed());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_relu6_relaxed) {
const Model model = transpose_conv2d::createTestModel_nhwc_relu6_relaxed();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_relu6_relaxed);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_relu6_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -17296,12 +18794,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_relu6_relaxed_weight_as_input,
transpose_conv2d::is_ignored_nhwc_relu6_relaxed_weight_as_input,
- transpose_conv2d::examples_nhwc_relu6_relaxed_weight_as_input);
+ transpose_conv2d::get_examples_nhwc_relu6_relaxed_weight_as_input());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_relu6_relaxed_weight_as_input) {
const Model model = transpose_conv2d::createTestModel_nhwc_relu6_relaxed_weight_as_input();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_relu6_relaxed_weight_as_input);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_relu6_relaxed_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -17311,12 +18809,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_relu6_quant8,
transpose_conv2d::is_ignored_nhwc_relu6_quant8,
- transpose_conv2d::examples_nhwc_relu6_quant8);
+ transpose_conv2d::get_examples_nhwc_relu6_quant8());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_relu6_quant8) {
const Model model = transpose_conv2d::createTestModel_nhwc_relu6_quant8();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_relu6_quant8);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_relu6_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -17326,12 +18824,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_relu6_quant8_weight_as_input,
transpose_conv2d::is_ignored_nhwc_relu6_quant8_weight_as_input,
- transpose_conv2d::examples_nhwc_relu6_quant8_weight_as_input);
+ transpose_conv2d::get_examples_nhwc_relu6_quant8_weight_as_input());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_relu6_quant8_weight_as_input) {
const Model model = transpose_conv2d::createTestModel_nhwc_relu6_quant8_weight_as_input();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_relu6_quant8_weight_as_input);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_relu6_quant8_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -17341,12 +18839,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_none,
transpose_conv2d::is_ignored_nchw_none,
- transpose_conv2d::examples_nchw_none);
+ transpose_conv2d::get_examples_nchw_none());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_none) {
const Model model = transpose_conv2d::createTestModel_nchw_none();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_none);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_none());
validateModel(model);
validateRequests(model, requests);
}
@@ -17356,12 +18854,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_none_weight_as_input,
transpose_conv2d::is_ignored_nchw_none_weight_as_input,
- transpose_conv2d::examples_nchw_none_weight_as_input);
+ transpose_conv2d::get_examples_nchw_none_weight_as_input());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_none_weight_as_input) {
const Model model = transpose_conv2d::createTestModel_nchw_none_weight_as_input();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_none_weight_as_input);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_none_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -17371,12 +18869,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_none_relaxed,
transpose_conv2d::is_ignored_nchw_none_relaxed,
- transpose_conv2d::examples_nchw_none_relaxed);
+ transpose_conv2d::get_examples_nchw_none_relaxed());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_none_relaxed) {
const Model model = transpose_conv2d::createTestModel_nchw_none_relaxed();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_none_relaxed);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_none_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -17386,12 +18884,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_none_relaxed_weight_as_input,
transpose_conv2d::is_ignored_nchw_none_relaxed_weight_as_input,
- transpose_conv2d::examples_nchw_none_relaxed_weight_as_input);
+ transpose_conv2d::get_examples_nchw_none_relaxed_weight_as_input());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_none_relaxed_weight_as_input) {
const Model model = transpose_conv2d::createTestModel_nchw_none_relaxed_weight_as_input();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_none_relaxed_weight_as_input);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_none_relaxed_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -17401,12 +18899,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_none_quant8,
transpose_conv2d::is_ignored_nchw_none_quant8,
- transpose_conv2d::examples_nchw_none_quant8);
+ transpose_conv2d::get_examples_nchw_none_quant8());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_none_quant8) {
const Model model = transpose_conv2d::createTestModel_nchw_none_quant8();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_none_quant8);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_none_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -17416,12 +18914,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_none_quant8_weight_as_input,
transpose_conv2d::is_ignored_nchw_none_quant8_weight_as_input,
- transpose_conv2d::examples_nchw_none_quant8_weight_as_input);
+ transpose_conv2d::get_examples_nchw_none_quant8_weight_as_input());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_none_quant8_weight_as_input) {
const Model model = transpose_conv2d::createTestModel_nchw_none_quant8_weight_as_input();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_none_quant8_weight_as_input);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_none_quant8_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -17431,12 +18929,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_relu,
transpose_conv2d::is_ignored_nchw_relu,
- transpose_conv2d::examples_nchw_relu);
+ transpose_conv2d::get_examples_nchw_relu());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_relu) {
const Model model = transpose_conv2d::createTestModel_nchw_relu();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_relu);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_relu());
validateModel(model);
validateRequests(model, requests);
}
@@ -17446,12 +18944,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_relu_weight_as_input,
transpose_conv2d::is_ignored_nchw_relu_weight_as_input,
- transpose_conv2d::examples_nchw_relu_weight_as_input);
+ transpose_conv2d::get_examples_nchw_relu_weight_as_input());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_relu_weight_as_input) {
const Model model = transpose_conv2d::createTestModel_nchw_relu_weight_as_input();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_relu_weight_as_input);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_relu_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -17461,12 +18959,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_relu_relaxed,
transpose_conv2d::is_ignored_nchw_relu_relaxed,
- transpose_conv2d::examples_nchw_relu_relaxed);
+ transpose_conv2d::get_examples_nchw_relu_relaxed());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_relu_relaxed) {
const Model model = transpose_conv2d::createTestModel_nchw_relu_relaxed();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_relu_relaxed);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_relu_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -17476,12 +18974,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_relu_relaxed_weight_as_input,
transpose_conv2d::is_ignored_nchw_relu_relaxed_weight_as_input,
- transpose_conv2d::examples_nchw_relu_relaxed_weight_as_input);
+ transpose_conv2d::get_examples_nchw_relu_relaxed_weight_as_input());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_relu_relaxed_weight_as_input) {
const Model model = transpose_conv2d::createTestModel_nchw_relu_relaxed_weight_as_input();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_relu_relaxed_weight_as_input);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_relu_relaxed_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -17491,12 +18989,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_relu_quant8,
transpose_conv2d::is_ignored_nchw_relu_quant8,
- transpose_conv2d::examples_nchw_relu_quant8);
+ transpose_conv2d::get_examples_nchw_relu_quant8());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_relu_quant8) {
const Model model = transpose_conv2d::createTestModel_nchw_relu_quant8();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_relu_quant8);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_relu_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -17506,12 +19004,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_relu_quant8_weight_as_input,
transpose_conv2d::is_ignored_nchw_relu_quant8_weight_as_input,
- transpose_conv2d::examples_nchw_relu_quant8_weight_as_input);
+ transpose_conv2d::get_examples_nchw_relu_quant8_weight_as_input());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_relu_quant8_weight_as_input) {
const Model model = transpose_conv2d::createTestModel_nchw_relu_quant8_weight_as_input();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_relu_quant8_weight_as_input);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_relu_quant8_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -17521,12 +19019,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_relu1,
transpose_conv2d::is_ignored_nchw_relu1,
- transpose_conv2d::examples_nchw_relu1);
+ transpose_conv2d::get_examples_nchw_relu1());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_relu1) {
const Model model = transpose_conv2d::createTestModel_nchw_relu1();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_relu1);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_relu1());
validateModel(model);
validateRequests(model, requests);
}
@@ -17536,12 +19034,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_relu1_weight_as_input,
transpose_conv2d::is_ignored_nchw_relu1_weight_as_input,
- transpose_conv2d::examples_nchw_relu1_weight_as_input);
+ transpose_conv2d::get_examples_nchw_relu1_weight_as_input());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_relu1_weight_as_input) {
const Model model = transpose_conv2d::createTestModel_nchw_relu1_weight_as_input();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_relu1_weight_as_input);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_relu1_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -17551,12 +19049,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_relu1_relaxed,
transpose_conv2d::is_ignored_nchw_relu1_relaxed,
- transpose_conv2d::examples_nchw_relu1_relaxed);
+ transpose_conv2d::get_examples_nchw_relu1_relaxed());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_relu1_relaxed) {
const Model model = transpose_conv2d::createTestModel_nchw_relu1_relaxed();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_relu1_relaxed);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_relu1_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -17566,12 +19064,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_relu1_relaxed_weight_as_input,
transpose_conv2d::is_ignored_nchw_relu1_relaxed_weight_as_input,
- transpose_conv2d::examples_nchw_relu1_relaxed_weight_as_input);
+ transpose_conv2d::get_examples_nchw_relu1_relaxed_weight_as_input());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_relu1_relaxed_weight_as_input) {
const Model model = transpose_conv2d::createTestModel_nchw_relu1_relaxed_weight_as_input();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_relu1_relaxed_weight_as_input);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_relu1_relaxed_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -17581,12 +19079,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_relu1_quant8,
transpose_conv2d::is_ignored_nchw_relu1_quant8,
- transpose_conv2d::examples_nchw_relu1_quant8);
+ transpose_conv2d::get_examples_nchw_relu1_quant8());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_relu1_quant8) {
const Model model = transpose_conv2d::createTestModel_nchw_relu1_quant8();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_relu1_quant8);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_relu1_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -17596,12 +19094,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_relu1_quant8_weight_as_input,
transpose_conv2d::is_ignored_nchw_relu1_quant8_weight_as_input,
- transpose_conv2d::examples_nchw_relu1_quant8_weight_as_input);
+ transpose_conv2d::get_examples_nchw_relu1_quant8_weight_as_input());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_relu1_quant8_weight_as_input) {
const Model model = transpose_conv2d::createTestModel_nchw_relu1_quant8_weight_as_input();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_relu1_quant8_weight_as_input);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_relu1_quant8_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -17611,12 +19109,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_relu6,
transpose_conv2d::is_ignored_nchw_relu6,
- transpose_conv2d::examples_nchw_relu6);
+ transpose_conv2d::get_examples_nchw_relu6());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_relu6) {
const Model model = transpose_conv2d::createTestModel_nchw_relu6();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_relu6);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_relu6());
validateModel(model);
validateRequests(model, requests);
}
@@ -17626,12 +19124,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_relu6_weight_as_input,
transpose_conv2d::is_ignored_nchw_relu6_weight_as_input,
- transpose_conv2d::examples_nchw_relu6_weight_as_input);
+ transpose_conv2d::get_examples_nchw_relu6_weight_as_input());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_relu6_weight_as_input) {
const Model model = transpose_conv2d::createTestModel_nchw_relu6_weight_as_input();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_relu6_weight_as_input);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_relu6_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -17641,12 +19139,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_relu6_relaxed,
transpose_conv2d::is_ignored_nchw_relu6_relaxed,
- transpose_conv2d::examples_nchw_relu6_relaxed);
+ transpose_conv2d::get_examples_nchw_relu6_relaxed());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_relu6_relaxed) {
const Model model = transpose_conv2d::createTestModel_nchw_relu6_relaxed();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_relu6_relaxed);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_relu6_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -17656,12 +19154,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_relu6_relaxed_weight_as_input,
transpose_conv2d::is_ignored_nchw_relu6_relaxed_weight_as_input,
- transpose_conv2d::examples_nchw_relu6_relaxed_weight_as_input);
+ transpose_conv2d::get_examples_nchw_relu6_relaxed_weight_as_input());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_relu6_relaxed_weight_as_input) {
const Model model = transpose_conv2d::createTestModel_nchw_relu6_relaxed_weight_as_input();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_relu6_relaxed_weight_as_input);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_relu6_relaxed_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -17671,12 +19169,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_relu6_quant8,
transpose_conv2d::is_ignored_nchw_relu6_quant8,
- transpose_conv2d::examples_nchw_relu6_quant8);
+ transpose_conv2d::get_examples_nchw_relu6_quant8());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_relu6_quant8) {
const Model model = transpose_conv2d::createTestModel_nchw_relu6_quant8();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_relu6_quant8);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_relu6_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -17686,12 +19184,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_relu6_quant8_weight_as_input,
transpose_conv2d::is_ignored_nchw_relu6_quant8_weight_as_input,
- transpose_conv2d::examples_nchw_relu6_quant8_weight_as_input);
+ transpose_conv2d::get_examples_nchw_relu6_quant8_weight_as_input());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_relu6_quant8_weight_as_input) {
const Model model = transpose_conv2d::createTestModel_nchw_relu6_quant8_weight_as_input();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_relu6_quant8_weight_as_input);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_relu6_quant8_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -17701,12 +19199,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc,
transpose_conv2d::is_ignored_nhwc,
- transpose_conv2d::examples_nhwc);
+ transpose_conv2d::get_examples_nhwc());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc) {
const Model model = transpose_conv2d::createTestModel_nhwc();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc());
validateModel(model);
validateRequests(model, requests);
}
@@ -17716,12 +19214,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_weight_as_input,
transpose_conv2d::is_ignored_nhwc_weight_as_input,
- transpose_conv2d::examples_nhwc_weight_as_input);
+ transpose_conv2d::get_examples_nhwc_weight_as_input());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_weight_as_input) {
const Model model = transpose_conv2d::createTestModel_nhwc_weight_as_input();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_weight_as_input);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -17731,12 +19229,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_relaxed,
transpose_conv2d::is_ignored_nhwc_relaxed,
- transpose_conv2d::examples_nhwc_relaxed);
+ transpose_conv2d::get_examples_nhwc_relaxed());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_relaxed) {
const Model model = transpose_conv2d::createTestModel_nhwc_relaxed();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_relaxed);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -17746,12 +19244,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_relaxed_weight_as_input,
transpose_conv2d::is_ignored_nhwc_relaxed_weight_as_input,
- transpose_conv2d::examples_nhwc_relaxed_weight_as_input);
+ transpose_conv2d::get_examples_nhwc_relaxed_weight_as_input());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_relaxed_weight_as_input) {
const Model model = transpose_conv2d::createTestModel_nhwc_relaxed_weight_as_input();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_relaxed_weight_as_input);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_relaxed_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -17761,12 +19259,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_quant8,
transpose_conv2d::is_ignored_nhwc_quant8,
- transpose_conv2d::examples_nhwc_quant8);
+ transpose_conv2d::get_examples_nhwc_quant8());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_quant8) {
const Model model = transpose_conv2d::createTestModel_nhwc_quant8();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_quant8);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -17776,12 +19274,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_quant8_weight_as_input,
transpose_conv2d::is_ignored_nhwc_quant8_weight_as_input,
- transpose_conv2d::examples_nhwc_quant8_weight_as_input);
+ transpose_conv2d::get_examples_nhwc_quant8_weight_as_input());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_quant8_weight_as_input) {
const Model model = transpose_conv2d::createTestModel_nhwc_quant8_weight_as_input();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_quant8_weight_as_input);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_quant8_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -17791,12 +19289,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw,
transpose_conv2d::is_ignored_nchw,
- transpose_conv2d::examples_nchw);
+ transpose_conv2d::get_examples_nchw());
}
TEST_F(ValidationTest, transpose_conv2d_nchw) {
const Model model = transpose_conv2d::createTestModel_nchw();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw());
validateModel(model);
validateRequests(model, requests);
}
@@ -17806,12 +19304,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_weight_as_input,
transpose_conv2d::is_ignored_nchw_weight_as_input,
- transpose_conv2d::examples_nchw_weight_as_input);
+ transpose_conv2d::get_examples_nchw_weight_as_input());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_weight_as_input) {
const Model model = transpose_conv2d::createTestModel_nchw_weight_as_input();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_weight_as_input);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -17821,12 +19319,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_relaxed,
transpose_conv2d::is_ignored_nchw_relaxed,
- transpose_conv2d::examples_nchw_relaxed);
+ transpose_conv2d::get_examples_nchw_relaxed());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_relaxed) {
const Model model = transpose_conv2d::createTestModel_nchw_relaxed();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_relaxed);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -17836,12 +19334,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_relaxed_weight_as_input,
transpose_conv2d::is_ignored_nchw_relaxed_weight_as_input,
- transpose_conv2d::examples_nchw_relaxed_weight_as_input);
+ transpose_conv2d::get_examples_nchw_relaxed_weight_as_input());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_relaxed_weight_as_input) {
const Model model = transpose_conv2d::createTestModel_nchw_relaxed_weight_as_input();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_relaxed_weight_as_input);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_relaxed_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -17851,12 +19349,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_quant8,
transpose_conv2d::is_ignored_nchw_quant8,
- transpose_conv2d::examples_nchw_quant8);
+ transpose_conv2d::get_examples_nchw_quant8());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_quant8) {
const Model model = transpose_conv2d::createTestModel_nchw_quant8();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_quant8);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_quant8());
validateModel(model);
validateRequests(model, requests);
}
@@ -17866,12 +19364,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_quant8_weight_as_input,
transpose_conv2d::is_ignored_nchw_quant8_weight_as_input,
- transpose_conv2d::examples_nchw_quant8_weight_as_input);
+ transpose_conv2d::get_examples_nchw_quant8_weight_as_input());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_quant8_weight_as_input) {
const Model model = transpose_conv2d::createTestModel_nchw_quant8_weight_as_input();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_quant8_weight_as_input);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_quant8_weight_as_input());
validateModel(model);
validateRequests(model, requests);
}
@@ -17881,12 +19379,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_2,
transpose_conv2d::is_ignored_nhwc_2,
- transpose_conv2d::examples_nhwc_2);
+ transpose_conv2d::get_examples_nhwc_2());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_2) {
const Model model = transpose_conv2d::createTestModel_nhwc_2();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_2);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -17896,12 +19394,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_weight_as_input_2,
transpose_conv2d::is_ignored_nhwc_weight_as_input_2,
- transpose_conv2d::examples_nhwc_weight_as_input_2);
+ transpose_conv2d::get_examples_nhwc_weight_as_input_2());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_weight_as_input_2) {
const Model model = transpose_conv2d::createTestModel_nhwc_weight_as_input_2();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_weight_as_input_2);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_weight_as_input_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -17911,12 +19409,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_relaxed_2,
transpose_conv2d::is_ignored_nhwc_relaxed_2,
- transpose_conv2d::examples_nhwc_relaxed_2);
+ transpose_conv2d::get_examples_nhwc_relaxed_2());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_relaxed_2) {
const Model model = transpose_conv2d::createTestModel_nhwc_relaxed_2();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_relaxed_2);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_relaxed_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -17926,12 +19424,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_relaxed_weight_as_input_2,
transpose_conv2d::is_ignored_nhwc_relaxed_weight_as_input_2,
- transpose_conv2d::examples_nhwc_relaxed_weight_as_input_2);
+ transpose_conv2d::get_examples_nhwc_relaxed_weight_as_input_2());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_relaxed_weight_as_input_2) {
const Model model = transpose_conv2d::createTestModel_nhwc_relaxed_weight_as_input_2();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_relaxed_weight_as_input_2);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_relaxed_weight_as_input_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -17941,12 +19439,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_quant8_2,
transpose_conv2d::is_ignored_nhwc_quant8_2,
- transpose_conv2d::examples_nhwc_quant8_2);
+ transpose_conv2d::get_examples_nhwc_quant8_2());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_quant8_2) {
const Model model = transpose_conv2d::createTestModel_nhwc_quant8_2();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_quant8_2);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_quant8_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -17956,12 +19454,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_quant8_weight_as_input_2,
transpose_conv2d::is_ignored_nhwc_quant8_weight_as_input_2,
- transpose_conv2d::examples_nhwc_quant8_weight_as_input_2);
+ transpose_conv2d::get_examples_nhwc_quant8_weight_as_input_2());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_quant8_weight_as_input_2) {
const Model model = transpose_conv2d::createTestModel_nhwc_quant8_weight_as_input_2();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_quant8_weight_as_input_2);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_quant8_weight_as_input_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -17971,12 +19469,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_2,
transpose_conv2d::is_ignored_nchw_2,
- transpose_conv2d::examples_nchw_2);
+ transpose_conv2d::get_examples_nchw_2());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_2) {
const Model model = transpose_conv2d::createTestModel_nchw_2();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_2);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -17986,12 +19484,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_weight_as_input_2,
transpose_conv2d::is_ignored_nchw_weight_as_input_2,
- transpose_conv2d::examples_nchw_weight_as_input_2);
+ transpose_conv2d::get_examples_nchw_weight_as_input_2());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_weight_as_input_2) {
const Model model = transpose_conv2d::createTestModel_nchw_weight_as_input_2();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_weight_as_input_2);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_weight_as_input_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -18001,12 +19499,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_relaxed_2,
transpose_conv2d::is_ignored_nchw_relaxed_2,
- transpose_conv2d::examples_nchw_relaxed_2);
+ transpose_conv2d::get_examples_nchw_relaxed_2());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_relaxed_2) {
const Model model = transpose_conv2d::createTestModel_nchw_relaxed_2();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_relaxed_2);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_relaxed_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -18016,12 +19514,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_relaxed_weight_as_input_2,
transpose_conv2d::is_ignored_nchw_relaxed_weight_as_input_2,
- transpose_conv2d::examples_nchw_relaxed_weight_as_input_2);
+ transpose_conv2d::get_examples_nchw_relaxed_weight_as_input_2());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_relaxed_weight_as_input_2) {
const Model model = transpose_conv2d::createTestModel_nchw_relaxed_weight_as_input_2();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_relaxed_weight_as_input_2);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_relaxed_weight_as_input_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -18031,12 +19529,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_quant8_2,
transpose_conv2d::is_ignored_nchw_quant8_2,
- transpose_conv2d::examples_nchw_quant8_2);
+ transpose_conv2d::get_examples_nchw_quant8_2());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_quant8_2) {
const Model model = transpose_conv2d::createTestModel_nchw_quant8_2();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_quant8_2);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_quant8_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -18046,12 +19544,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_quant8_weight_as_input_2,
transpose_conv2d::is_ignored_nchw_quant8_weight_as_input_2,
- transpose_conv2d::examples_nchw_quant8_weight_as_input_2);
+ transpose_conv2d::get_examples_nchw_quant8_weight_as_input_2());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_quant8_weight_as_input_2) {
const Model model = transpose_conv2d::createTestModel_nchw_quant8_weight_as_input_2();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_quant8_weight_as_input_2);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_quant8_weight_as_input_2());
validateModel(model);
validateRequests(model, requests);
}
@@ -18061,12 +19559,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_3,
transpose_conv2d::is_ignored_nhwc_3,
- transpose_conv2d::examples_nhwc_3);
+ transpose_conv2d::get_examples_nhwc_3());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_3) {
const Model model = transpose_conv2d::createTestModel_nhwc_3();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_3);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -18076,12 +19574,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_weight_as_input_3,
transpose_conv2d::is_ignored_nhwc_weight_as_input_3,
- transpose_conv2d::examples_nhwc_weight_as_input_3);
+ transpose_conv2d::get_examples_nhwc_weight_as_input_3());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_weight_as_input_3) {
const Model model = transpose_conv2d::createTestModel_nhwc_weight_as_input_3();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_weight_as_input_3);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_weight_as_input_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -18091,12 +19589,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_relaxed_3,
transpose_conv2d::is_ignored_nhwc_relaxed_3,
- transpose_conv2d::examples_nhwc_relaxed_3);
+ transpose_conv2d::get_examples_nhwc_relaxed_3());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_relaxed_3) {
const Model model = transpose_conv2d::createTestModel_nhwc_relaxed_3();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_relaxed_3);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_relaxed_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -18106,12 +19604,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_relaxed_weight_as_input_3,
transpose_conv2d::is_ignored_nhwc_relaxed_weight_as_input_3,
- transpose_conv2d::examples_nhwc_relaxed_weight_as_input_3);
+ transpose_conv2d::get_examples_nhwc_relaxed_weight_as_input_3());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_relaxed_weight_as_input_3) {
const Model model = transpose_conv2d::createTestModel_nhwc_relaxed_weight_as_input_3();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_relaxed_weight_as_input_3);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_relaxed_weight_as_input_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -18121,12 +19619,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_quant8_3,
transpose_conv2d::is_ignored_nhwc_quant8_3,
- transpose_conv2d::examples_nhwc_quant8_3);
+ transpose_conv2d::get_examples_nhwc_quant8_3());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_quant8_3) {
const Model model = transpose_conv2d::createTestModel_nhwc_quant8_3();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_quant8_3);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_quant8_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -18136,12 +19634,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_quant8_weight_as_input_3,
transpose_conv2d::is_ignored_nhwc_quant8_weight_as_input_3,
- transpose_conv2d::examples_nhwc_quant8_weight_as_input_3);
+ transpose_conv2d::get_examples_nhwc_quant8_weight_as_input_3());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_quant8_weight_as_input_3) {
const Model model = transpose_conv2d::createTestModel_nhwc_quant8_weight_as_input_3();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_quant8_weight_as_input_3);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_quant8_weight_as_input_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -18151,12 +19649,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_3,
transpose_conv2d::is_ignored_nchw_3,
- transpose_conv2d::examples_nchw_3);
+ transpose_conv2d::get_examples_nchw_3());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_3) {
const Model model = transpose_conv2d::createTestModel_nchw_3();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_3);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -18166,12 +19664,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_weight_as_input_3,
transpose_conv2d::is_ignored_nchw_weight_as_input_3,
- transpose_conv2d::examples_nchw_weight_as_input_3);
+ transpose_conv2d::get_examples_nchw_weight_as_input_3());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_weight_as_input_3) {
const Model model = transpose_conv2d::createTestModel_nchw_weight_as_input_3();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_weight_as_input_3);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_weight_as_input_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -18181,12 +19679,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_relaxed_3,
transpose_conv2d::is_ignored_nchw_relaxed_3,
- transpose_conv2d::examples_nchw_relaxed_3);
+ transpose_conv2d::get_examples_nchw_relaxed_3());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_relaxed_3) {
const Model model = transpose_conv2d::createTestModel_nchw_relaxed_3();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_relaxed_3);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_relaxed_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -18196,12 +19694,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_relaxed_weight_as_input_3,
transpose_conv2d::is_ignored_nchw_relaxed_weight_as_input_3,
- transpose_conv2d::examples_nchw_relaxed_weight_as_input_3);
+ transpose_conv2d::get_examples_nchw_relaxed_weight_as_input_3());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_relaxed_weight_as_input_3) {
const Model model = transpose_conv2d::createTestModel_nchw_relaxed_weight_as_input_3();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_relaxed_weight_as_input_3);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_relaxed_weight_as_input_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -18211,12 +19709,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_quant8_3,
transpose_conv2d::is_ignored_nchw_quant8_3,
- transpose_conv2d::examples_nchw_quant8_3);
+ transpose_conv2d::get_examples_nchw_quant8_3());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_quant8_3) {
const Model model = transpose_conv2d::createTestModel_nchw_quant8_3();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_quant8_3);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_quant8_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -18226,12 +19724,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_quant8_weight_as_input_3,
transpose_conv2d::is_ignored_nchw_quant8_weight_as_input_3,
- transpose_conv2d::examples_nchw_quant8_weight_as_input_3);
+ transpose_conv2d::get_examples_nchw_quant8_weight_as_input_3());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_quant8_weight_as_input_3) {
const Model model = transpose_conv2d::createTestModel_nchw_quant8_weight_as_input_3();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_quant8_weight_as_input_3);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_quant8_weight_as_input_3());
validateModel(model);
validateRequests(model, requests);
}
@@ -18241,12 +19739,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_4,
transpose_conv2d::is_ignored_nhwc_4,
- transpose_conv2d::examples_nhwc_4);
+ transpose_conv2d::get_examples_nhwc_4());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_4) {
const Model model = transpose_conv2d::createTestModel_nhwc_4();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_4);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -18256,12 +19754,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_weight_as_input_4,
transpose_conv2d::is_ignored_nhwc_weight_as_input_4,
- transpose_conv2d::examples_nhwc_weight_as_input_4);
+ transpose_conv2d::get_examples_nhwc_weight_as_input_4());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_weight_as_input_4) {
const Model model = transpose_conv2d::createTestModel_nhwc_weight_as_input_4();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_weight_as_input_4);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_weight_as_input_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -18271,12 +19769,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_relaxed_4,
transpose_conv2d::is_ignored_nhwc_relaxed_4,
- transpose_conv2d::examples_nhwc_relaxed_4);
+ transpose_conv2d::get_examples_nhwc_relaxed_4());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_relaxed_4) {
const Model model = transpose_conv2d::createTestModel_nhwc_relaxed_4();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_relaxed_4);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_relaxed_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -18286,12 +19784,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_relaxed_weight_as_input_4,
transpose_conv2d::is_ignored_nhwc_relaxed_weight_as_input_4,
- transpose_conv2d::examples_nhwc_relaxed_weight_as_input_4);
+ transpose_conv2d::get_examples_nhwc_relaxed_weight_as_input_4());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_relaxed_weight_as_input_4) {
const Model model = transpose_conv2d::createTestModel_nhwc_relaxed_weight_as_input_4();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_relaxed_weight_as_input_4);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_relaxed_weight_as_input_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -18301,12 +19799,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_quant8_4,
transpose_conv2d::is_ignored_nhwc_quant8_4,
- transpose_conv2d::examples_nhwc_quant8_4);
+ transpose_conv2d::get_examples_nhwc_quant8_4());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_quant8_4) {
const Model model = transpose_conv2d::createTestModel_nhwc_quant8_4();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_quant8_4);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_quant8_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -18316,12 +19814,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nhwc_quant8_weight_as_input_4,
transpose_conv2d::is_ignored_nhwc_quant8_weight_as_input_4,
- transpose_conv2d::examples_nhwc_quant8_weight_as_input_4);
+ transpose_conv2d::get_examples_nhwc_quant8_weight_as_input_4());
}
TEST_F(ValidationTest, transpose_conv2d_nhwc_quant8_weight_as_input_4) {
const Model model = transpose_conv2d::createTestModel_nhwc_quant8_weight_as_input_4();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nhwc_quant8_weight_as_input_4);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nhwc_quant8_weight_as_input_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -18331,12 +19829,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_4,
transpose_conv2d::is_ignored_nchw_4,
- transpose_conv2d::examples_nchw_4);
+ transpose_conv2d::get_examples_nchw_4());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_4) {
const Model model = transpose_conv2d::createTestModel_nchw_4();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_4);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -18346,12 +19844,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_weight_as_input_4,
transpose_conv2d::is_ignored_nchw_weight_as_input_4,
- transpose_conv2d::examples_nchw_weight_as_input_4);
+ transpose_conv2d::get_examples_nchw_weight_as_input_4());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_weight_as_input_4) {
const Model model = transpose_conv2d::createTestModel_nchw_weight_as_input_4();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_weight_as_input_4);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_weight_as_input_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -18361,12 +19859,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_relaxed_4,
transpose_conv2d::is_ignored_nchw_relaxed_4,
- transpose_conv2d::examples_nchw_relaxed_4);
+ transpose_conv2d::get_examples_nchw_relaxed_4());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_relaxed_4) {
const Model model = transpose_conv2d::createTestModel_nchw_relaxed_4();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_relaxed_4);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_relaxed_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -18376,12 +19874,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_relaxed_weight_as_input_4,
transpose_conv2d::is_ignored_nchw_relaxed_weight_as_input_4,
- transpose_conv2d::examples_nchw_relaxed_weight_as_input_4);
+ transpose_conv2d::get_examples_nchw_relaxed_weight_as_input_4());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_relaxed_weight_as_input_4) {
const Model model = transpose_conv2d::createTestModel_nchw_relaxed_weight_as_input_4();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_relaxed_weight_as_input_4);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_relaxed_weight_as_input_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -18391,12 +19889,12 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_quant8_4,
transpose_conv2d::is_ignored_nchw_quant8_4,
- transpose_conv2d::examples_nchw_quant8_4);
+ transpose_conv2d::get_examples_nchw_quant8_4());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_quant8_4) {
const Model model = transpose_conv2d::createTestModel_nchw_quant8_4();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_quant8_4);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_quant8_4());
validateModel(model);
validateRequests(model, requests);
}
@@ -18406,12 +19904,35 @@
generated_tests::Execute(device,
transpose_conv2d::createTestModel_nchw_quant8_weight_as_input_4,
transpose_conv2d::is_ignored_nchw_quant8_weight_as_input_4,
- transpose_conv2d::examples_nchw_quant8_weight_as_input_4);
+ transpose_conv2d::get_examples_nchw_quant8_weight_as_input_4());
}
TEST_F(ValidationTest, transpose_conv2d_nchw_quant8_weight_as_input_4) {
const Model model = transpose_conv2d::createTestModel_nchw_quant8_weight_as_input_4();
- const std::vector<Request> requests = createRequests(transpose_conv2d::examples_nchw_quant8_weight_as_input_4);
+ const std::vector<Request> requests = createRequests(transpose_conv2d::get_examples_nchw_quant8_weight_as_input_4());
+ validateModel(model);
+ validateRequests(model, requests);
+}
+
+
+// Generated from: transpose_float16.mod.py.
+namespace transpose_float16 {
+// Generated transpose_float16 test
+#include "examples/transpose_float16.example.cpp"
+// Generated model constructor
+#include "vts_models/transpose_float16.model.cpp"
+} // namespace transpose_float16
+
+TEST_F(NeuralnetworksHidlTest, transpose_float16) {
+ generated_tests::Execute(device,
+ transpose_float16::createTestModel,
+ transpose_float16::is_ignored,
+ transpose_float16::get_examples());
+}
+
+TEST_F(ValidationTest, transpose_float16) {
+ const Model model = transpose_float16::createTestModel();
+ const std::vector<Request> requests = createRequests(transpose_float16::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -18429,12 +19950,12 @@
generated_tests::Execute(device,
transpose_v1_2::createTestModel,
transpose_v1_2::is_ignored,
- transpose_v1_2::examples);
+ transpose_v1_2::get_examples());
}
TEST_F(ValidationTest, transpose_v1_2) {
const Model model = transpose_v1_2::createTestModel();
- const std::vector<Request> requests = createRequests(transpose_v1_2::examples);
+ const std::vector<Request> requests = createRequests(transpose_v1_2::get_examples());
validateModel(model);
validateRequests(model, requests);
}
@@ -18444,12 +19965,12 @@
generated_tests::Execute(device,
transpose_v1_2::createTestModel_relaxed,
transpose_v1_2::is_ignored_relaxed,
- transpose_v1_2::examples_relaxed);
+ transpose_v1_2::get_examples_relaxed());
}
TEST_F(ValidationTest, transpose_v1_2_relaxed) {
const Model model = transpose_v1_2::createTestModel_relaxed();
- const std::vector<Request> requests = createRequests(transpose_v1_2::examples_relaxed);
+ const std::vector<Request> requests = createRequests(transpose_v1_2::get_examples_relaxed());
validateModel(model);
validateRequests(model, requests);
}
@@ -18459,12 +19980,12 @@
generated_tests::Execute(device,
transpose_v1_2::createTestModel_quant8,
transpose_v1_2::is_ignored_quant8,
- transpose_v1_2::examples_quant8);
+ transpose_v1_2::get_examples_quant8());
}
TEST_F(ValidationTest, transpose_v1_2_quant8) {
const Model model = transpose_v1_2::createTestModel_quant8();
- const std::vector<Request> requests = createRequests(transpose_v1_2::examples_quant8);
+ const std::vector<Request> requests = createRequests(transpose_v1_2::get_examples_quant8());
validateModel(model);
validateRequests(model, requests);
}
diff --git a/nn/runtime/test/generated/examples/abs.example.cpp b/nn/runtime/test/generated/examples/abs.example.cpp
new file mode 100644
index 0000000..9215c40
--- /dev/null
+++ b/nn/runtime/test/generated/examples/abs.example.cpp
@@ -0,0 +1,113 @@
+// clang-format off
+// Generated file (from: abs.mod.py). Do not edit
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {-6.0f, -5.9f, -5.8f, -5.7f, -5.6f, -5.5f, -5.4f, -5.3f, -5.2f, -5.1f, -5.0f, -4.9f, -4.8f, -4.7f, -4.6f, -4.5f, -4.4f, -4.3f, -4.2f, -4.1f, -4.0f, -3.9f, -3.8f, -3.7f, -3.6f, -3.5f, -3.4f, -3.3f, -3.2f, -3.1f, -3.0f, -2.9f, -2.8f, -2.7f, -2.6f, -2.5f, -2.4f, -2.3f, -2.2f, -2.1f, -2.0f, -1.9f, -1.8f, -1.7f, -1.6f, -1.5f, -1.4f, -1.3f, -1.2f, -1.1f, -1.0f, -0.9f, -0.8f, -0.7f, -0.6f, -0.5f, -0.4f, -0.3f, -0.2f, -0.1f, 0.0f, 0.1f, 0.2f, 0.3f, 0.4f, 0.5f, 0.6f, 0.7f, 0.8f, 0.9f, 1.0f, 1.1f, 1.2f, 1.3f, 1.4f, 1.5f, 1.6f, 1.7f, 1.8f, 1.9f, 2.0f, 2.1f, 2.2f, 2.3f, 2.4f, 2.5f, 2.6f, 2.7f, 2.8f, 2.9f, 3.0f, 3.1f, 3.2f, 3.3f, 3.4f, 3.5f, 3.6f, 3.7f, 3.8f, 3.9f, 4.0f, 4.1f, 4.2f, 4.3f, 4.4f, 4.5f, 4.6f, 4.7f, 4.8f, 4.9f, 5.0f, 5.1f, 5.2f, 5.3f, 5.4f, 5.5f, 5.6f, 5.7f, 5.8f, 5.9f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {6.0f, 5.9f, 5.8f, 5.7f, 5.6f, 5.5f, 5.4f, 5.3f, 5.2f, 5.1f, 5.0f, 4.9f, 4.8f, 4.7f, 4.6f, 4.5f, 4.4f, 4.3f, 4.2f, 4.1f, 4.0f, 3.9f, 3.8f, 3.7f, 3.6f, 3.5f, 3.4f, 3.3f, 3.2f, 3.1f, 3.0f, 2.9f, 2.8f, 2.7f, 2.6f, 2.5f, 2.4f, 2.3f, 2.2f, 2.1f, 2.0f, 1.9f, 1.8f, 1.7f, 1.6f, 1.5f, 1.4f, 1.3f, 1.2f, 1.1f, 1.0f, 0.9f, 0.8f, 0.7f, 0.6f, 0.5f, 0.4f, 0.3f, 0.2f, 0.1f, 0.0f, 0.1f, 0.2f, 0.3f, 0.4f, 0.5f, 0.6f, 0.7f, 0.8f, 0.9f, 1.0f, 1.1f, 1.2f, 1.3f, 1.4f, 1.5f, 1.6f, 1.7f, 1.8f, 1.9f, 2.0f, 2.1f, 2.2f, 2.3f, 2.4f, 2.5f, 2.6f, 2.7f, 2.8f, 2.9f, 3.0f, 3.1f, 3.2f, 3.3f, 3.4f, 3.5f, 3.6f, 3.7f, 3.8f, 3.9f, 4.0f, 4.1f, 4.2f, 4.3f, 4.4f, 4.5f, 4.6f, 4.7f, 4.8f, 4.9f, 5.0f, 5.1f, 5.2f, 5.3f, 5.4f, 5.5f, 5.6f, 5.7f, 5.8f, 5.9f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples;
+};
+
+std::vector<MixedTypedExample>& get_examples_relaxed() {
+static std::vector<MixedTypedExample> examples_relaxed = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {-6.0f, -5.9f, -5.8f, -5.7f, -5.6f, -5.5f, -5.4f, -5.3f, -5.2f, -5.1f, -5.0f, -4.9f, -4.8f, -4.7f, -4.6f, -4.5f, -4.4f, -4.3f, -4.2f, -4.1f, -4.0f, -3.9f, -3.8f, -3.7f, -3.6f, -3.5f, -3.4f, -3.3f, -3.2f, -3.1f, -3.0f, -2.9f, -2.8f, -2.7f, -2.6f, -2.5f, -2.4f, -2.3f, -2.2f, -2.1f, -2.0f, -1.9f, -1.8f, -1.7f, -1.6f, -1.5f, -1.4f, -1.3f, -1.2f, -1.1f, -1.0f, -0.9f, -0.8f, -0.7f, -0.6f, -0.5f, -0.4f, -0.3f, -0.2f, -0.1f, 0.0f, 0.1f, 0.2f, 0.3f, 0.4f, 0.5f, 0.6f, 0.7f, 0.8f, 0.9f, 1.0f, 1.1f, 1.2f, 1.3f, 1.4f, 1.5f, 1.6f, 1.7f, 1.8f, 1.9f, 2.0f, 2.1f, 2.2f, 2.3f, 2.4f, 2.5f, 2.6f, 2.7f, 2.8f, 2.9f, 3.0f, 3.1f, 3.2f, 3.3f, 3.4f, 3.5f, 3.6f, 3.7f, 3.8f, 3.9f, 4.0f, 4.1f, 4.2f, 4.3f, 4.4f, 4.5f, 4.6f, 4.7f, 4.8f, 4.9f, 5.0f, 5.1f, 5.2f, 5.3f, 5.4f, 5.5f, 5.6f, 5.7f, 5.8f, 5.9f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {6.0f, 5.9f, 5.8f, 5.7f, 5.6f, 5.5f, 5.4f, 5.3f, 5.2f, 5.1f, 5.0f, 4.9f, 4.8f, 4.7f, 4.6f, 4.5f, 4.4f, 4.3f, 4.2f, 4.1f, 4.0f, 3.9f, 3.8f, 3.7f, 3.6f, 3.5f, 3.4f, 3.3f, 3.2f, 3.1f, 3.0f, 2.9f, 2.8f, 2.7f, 2.6f, 2.5f, 2.4f, 2.3f, 2.2f, 2.1f, 2.0f, 1.9f, 1.8f, 1.7f, 1.6f, 1.5f, 1.4f, 1.3f, 1.2f, 1.1f, 1.0f, 0.9f, 0.8f, 0.7f, 0.6f, 0.5f, 0.4f, 0.3f, 0.2f, 0.1f, 0.0f, 0.1f, 0.2f, 0.3f, 0.4f, 0.5f, 0.6f, 0.7f, 0.8f, 0.9f, 1.0f, 1.1f, 1.2f, 1.3f, 1.4f, 1.5f, 1.6f, 1.7f, 1.8f, 1.9f, 2.0f, 2.1f, 2.2f, 2.3f, 2.4f, 2.5f, 2.6f, 2.7f, 2.8f, 2.9f, 3.0f, 3.1f, 3.2f, 3.3f, 3.4f, 3.5f, 3.6f, 3.7f, 3.8f, 3.9f, 4.0f, 4.1f, 4.2f, 4.3f, 4.4f, 4.5f, 4.6f, 4.7f, 4.8f, 4.9f, 5.0f, 5.1f, 5.2f, 5.3f, 5.4f, 5.5f, 5.6f, 5.7f, 5.8f, 5.9f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_relaxed;
+};
+
+std::vector<MixedTypedExample>& get_examples_float16() {
+static std::vector<MixedTypedExample> examples_float16 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {-6.0f, -5.900000095367432f, -5.800000190734863f, -5.699999809265137f, -5.599999904632568f, -5.5f, -5.400000095367432f, -5.300000190734863f, -5.199999809265137f, -5.099999904632568f, -5.0f, -4.900000095367432f, -4.800000190734863f, -4.699999809265137f, -4.599999904632568f, -4.5f, -4.400000095367432f, -4.300000190734863f, -4.199999809265137f, -4.099999904632568f, -4.0f, -3.9000000953674316f, -3.799999952316284f, -3.700000047683716f, -3.5999999046325684f, -3.5f, -3.4000000953674316f, -3.299999952316284f, -3.200000047683716f, -3.0999999046325684f, -3.0f, -2.9000000953674316f, -2.799999952316284f, -2.700000047683716f, -2.5999999046325684f, -2.5f, -2.4000000953674316f, -2.299999952316284f, -2.200000047683716f, -2.0999999046325684f, -2.0f, -1.899999976158142f, -1.7999999523162842f, -1.7000000476837158f, -1.600000023841858f, -1.5f, -1.399999976158142f, -1.2999999523162842f, -1.2000000476837158f, -1.100000023841858f, -1.0f, -0.8999999761581421f, -0.800000011920929f, -0.699999988079071f, -0.6000000238418579f, -0.5f, -0.4000000059604645f, -0.30000001192092896f, -0.20000000298023224f, -0.10000000149011612f, 0.0f, 0.10000000149011612f, 0.20000000298023224f, 0.30000001192092896f, 0.4000000059604645f, 0.5f, 0.6000000238418579f, 0.699999988079071f, 0.800000011920929f, 0.8999999761581421f, 1.0f, 1.100000023841858f, 1.2000000476837158f, 1.2999999523162842f, 1.399999976158142f, 1.5f, 1.600000023841858f, 1.7000000476837158f, 1.7999999523162842f, 1.899999976158142f, 2.0f, 2.0999999046325684f, 2.200000047683716f, 2.299999952316284f, 2.4000000953674316f, 2.5f, 2.5999999046325684f, 2.700000047683716f, 2.799999952316284f, 2.9000000953674316f, 3.0f, 3.0999999046325684f, 3.200000047683716f, 3.299999952316284f, 3.4000000953674316f, 3.5f, 3.5999999046325684f, 3.700000047683716f, 3.799999952316284f, 3.9000000953674316f, 4.0f, 4.099999904632568f, 4.199999809265137f, 4.300000190734863f, 4.400000095367432f, 4.5f, 4.599999904632568f, 4.699999809265137f, 4.800000190734863f, 4.900000095367432f, 5.0f, 5.099999904632568f, 5.199999809265137f, 5.300000190734863f, 5.400000095367432f, 5.5f, 5.599999904632568f, 5.699999809265137f, 5.800000190734863f, 5.900000095367432f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {6.0f, 5.900000095367432f, 5.800000190734863f, 5.699999809265137f, 5.599999904632568f, 5.5f, 5.400000095367432f, 5.300000190734863f, 5.199999809265137f, 5.099999904632568f, 5.0f, 4.900000095367432f, 4.800000190734863f, 4.699999809265137f, 4.599999904632568f, 4.5f, 4.400000095367432f, 4.300000190734863f, 4.199999809265137f, 4.099999904632568f, 4.0f, 3.9000000953674316f, 3.799999952316284f, 3.700000047683716f, 3.5999999046325684f, 3.5f, 3.4000000953674316f, 3.299999952316284f, 3.200000047683716f, 3.0999999046325684f, 3.0f, 2.9000000953674316f, 2.799999952316284f, 2.700000047683716f, 2.5999999046325684f, 2.5f, 2.4000000953674316f, 2.299999952316284f, 2.200000047683716f, 2.0999999046325684f, 2.0f, 1.899999976158142f, 1.7999999523162842f, 1.7000000476837158f, 1.600000023841858f, 1.5f, 1.399999976158142f, 1.2999999523162842f, 1.2000000476837158f, 1.100000023841858f, 1.0f, 0.8999999761581421f, 0.800000011920929f, 0.699999988079071f, 0.6000000238418579f, 0.5f, 0.4000000059604645f, 0.30000001192092896f, 0.20000000298023224f, 0.10000000149011612f, 0.0f, 0.10000000149011612f, 0.20000000298023224f, 0.30000001192092896f, 0.4000000059604645f, 0.5f, 0.6000000238418579f, 0.699999988079071f, 0.800000011920929f, 0.8999999761581421f, 1.0f, 1.100000023841858f, 1.2000000476837158f, 1.2999999523162842f, 1.399999976158142f, 1.5f, 1.600000023841858f, 1.7000000476837158f, 1.7999999523162842f, 1.899999976158142f, 2.0f, 2.0999999046325684f, 2.200000047683716f, 2.299999952316284f, 2.4000000953674316f, 2.5f, 2.5999999046325684f, 2.700000047683716f, 2.799999952316284f, 2.9000000953674316f, 3.0f, 3.0999999046325684f, 3.200000047683716f, 3.299999952316284f, 3.4000000953674316f, 3.5f, 3.5999999046325684f, 3.700000047683716f, 3.799999952316284f, 3.9000000953674316f, 4.0f, 4.099999904632568f, 4.199999809265137f, 4.300000190734863f, 4.400000095367432f, 4.5f, 4.599999904632568f, 4.699999809265137f, 4.800000190734863f, 4.900000095367432f, 5.0f, 5.099999904632568f, 5.199999809265137f, 5.300000190734863f, 5.400000095367432f, 5.5f, 5.599999904632568f, 5.699999809265137f, 5.800000190734863f, 5.900000095367432f}}},
+}
+},
+}, // End of an example
+};
+return examples_float16;
+};
+
diff --git a/nn/runtime/test/generated/examples/add.example.cpp b/nn/runtime/test/generated/examples/add.example.cpp
index 61dd2c3..fe67709 100644
--- a/nn/runtime/test/generated/examples/add.example.cpp
+++ b/nn/runtime/test/generated/examples/add.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: add.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/add_broadcast_float16.example.cpp b/nn/runtime/test/generated/examples/add_broadcast_float16.example.cpp
index 4e42019..d641f7a 100644
--- a/nn/runtime/test/generated/examples/add_broadcast_float16.example.cpp
+++ b/nn/runtime/test/generated/examples/add_broadcast_float16.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: add_broadcast_float16.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/add_broadcast_quant8.example.cpp b/nn/runtime/test/generated/examples/add_broadcast_quant8.example.cpp
index 7c7d7df..eddd756 100644
--- a/nn/runtime/test/generated/examples/add_broadcast_quant8.example.cpp
+++ b/nn/runtime/test/generated/examples/add_broadcast_quant8.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: add_broadcast_quant8.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/add_float16.example.cpp b/nn/runtime/test/generated/examples/add_float16.example.cpp
index 40b3090..7433808 100644
--- a/nn/runtime/test/generated/examples/add_float16.example.cpp
+++ b/nn/runtime/test/generated/examples/add_float16.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: add_float16.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/add_quant8.example.cpp b/nn/runtime/test/generated/examples/add_quant8.example.cpp
index a5f24d0..79156ad 100644
--- a/nn/runtime/test/generated/examples/add_quant8.example.cpp
+++ b/nn/runtime/test/generated/examples/add_quant8.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: add_quant8.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/add_relaxed.example.cpp b/nn/runtime/test/generated/examples/add_relaxed.example.cpp
index fd15ed0..7c317b9 100644
--- a/nn/runtime/test/generated/examples/add_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/add_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: add_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/argmax_1.example.cpp b/nn/runtime/test/generated/examples/argmax_1.example.cpp
new file mode 100644
index 0000000..b55689e
--- /dev/null
+++ b/nn/runtime/test/generated/examples/argmax_1.example.cpp
@@ -0,0 +1,187 @@
+// clang-format off
+// Generated file (from: argmax_1.mod.py). Do not edit
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {1.0f, 2.0f, 4.0f, 3.0f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {1, 0}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples;
+};
+
+std::vector<MixedTypedExample>& get_examples_relaxed() {
+static std::vector<MixedTypedExample> examples_relaxed = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {1.0f, 2.0f, 4.0f, 3.0f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {1, 0}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_relaxed;
+};
+
+std::vector<MixedTypedExample>& get_examples_float16() {
+static std::vector<MixedTypedExample> examples_float16 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 2.0f, 4.0f, 3.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {1, 0}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_float16;
+};
+
+std::vector<MixedTypedExample>& get_examples_int32() {
+static std::vector<MixedTypedExample> examples_int32 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {1, 2, 4, 3}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {1, 0}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_int32;
+};
+
+std::vector<MixedTypedExample>& get_examples_quant8() {
+static std::vector<MixedTypedExample> examples_quant8 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {{0, {1, 2, 4, 3}}},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {1, 0}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_quant8;
+};
+
diff --git a/nn/runtime/test/generated/examples/argmax_1_float.example.cpp b/nn/runtime/test/generated/examples/argmax_1_float.example.cpp
deleted file mode 100644
index 68e9461..0000000
--- a/nn/runtime/test/generated/examples/argmax_1_float.example.cpp
+++ /dev/null
@@ -1,36 +0,0 @@
-// clang-format off
-// Generated file (from: argmax_1_float.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
-// Begin of an example
-{
-.operands = {
-//Input(s)
-{ // See tools/test_generator/include/TestHarness.h:MixedTyped
- // int -> FLOAT32 map
- {{0, {1.0f, 2.0f, 4.0f, 3.0f}}},
- // int -> INT32 map
- {},
- // int -> QUANT8_ASYMM map
- {},
- // int -> QUANT16_SYMM map
- {},
- // int -> FLOAT16 map
- {},
-},
-//Output(s)
-{ // See tools/test_generator/include/TestHarness.h:MixedTyped
- // int -> FLOAT32 map
- {},
- // int -> INT32 map
- {{0, {1, 0}}},
- // int -> QUANT8_ASYMM map
- {},
- // int -> QUANT16_SYMM map
- {},
- // int -> FLOAT16 map
- {},
-}
-},
-}, // End of an example
-};
-
diff --git a/nn/runtime/test/generated/examples/argmax_1_float_relaxed.example.cpp b/nn/runtime/test/generated/examples/argmax_1_float_relaxed.example.cpp
deleted file mode 100644
index 682ded0..0000000
--- a/nn/runtime/test/generated/examples/argmax_1_float_relaxed.example.cpp
+++ /dev/null
@@ -1,36 +0,0 @@
-// clang-format off
-// Generated file (from: argmax_1_float_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
-// Begin of an example
-{
-.operands = {
-//Input(s)
-{ // See tools/test_generator/include/TestHarness.h:MixedTyped
- // int -> FLOAT32 map
- {{0, {1.0f, 2.0f, 4.0f, 3.0f}}},
- // int -> INT32 map
- {},
- // int -> QUANT8_ASYMM map
- {},
- // int -> QUANT16_SYMM map
- {},
- // int -> FLOAT16 map
- {},
-},
-//Output(s)
-{ // See tools/test_generator/include/TestHarness.h:MixedTyped
- // int -> FLOAT32 map
- {},
- // int -> INT32 map
- {{0, {1, 0}}},
- // int -> QUANT8_ASYMM map
- {},
- // int -> QUANT16_SYMM map
- {},
- // int -> FLOAT16 map
- {},
-}
-},
-}, // End of an example
-};
-
diff --git a/nn/runtime/test/generated/examples/argmax_1_int32.example.cpp b/nn/runtime/test/generated/examples/argmax_1_int32.example.cpp
deleted file mode 100644
index a063fe3..0000000
--- a/nn/runtime/test/generated/examples/argmax_1_int32.example.cpp
+++ /dev/null
@@ -1,36 +0,0 @@
-// clang-format off
-// Generated file (from: argmax_1_int32.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
-// Begin of an example
-{
-.operands = {
-//Input(s)
-{ // See tools/test_generator/include/TestHarness.h:MixedTyped
- // int -> FLOAT32 map
- {},
- // int -> INT32 map
- {{0, {1, 2, 4, 3}}},
- // int -> QUANT8_ASYMM map
- {},
- // int -> QUANT16_SYMM map
- {},
- // int -> FLOAT16 map
- {},
-},
-//Output(s)
-{ // See tools/test_generator/include/TestHarness.h:MixedTyped
- // int -> FLOAT32 map
- {},
- // int -> INT32 map
- {{0, {1, 0}}},
- // int -> QUANT8_ASYMM map
- {},
- // int -> QUANT16_SYMM map
- {},
- // int -> FLOAT16 map
- {},
-}
-},
-}, // End of an example
-};
-
diff --git a/nn/runtime/test/generated/examples/argmax_1_quant8.example.cpp b/nn/runtime/test/generated/examples/argmax_1_quant8.example.cpp
deleted file mode 100644
index dafd4bc..0000000
--- a/nn/runtime/test/generated/examples/argmax_1_quant8.example.cpp
+++ /dev/null
@@ -1,36 +0,0 @@
-// clang-format off
-// Generated file (from: argmax_1_quant8.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
-// Begin of an example
-{
-.operands = {
-//Input(s)
-{ // See tools/test_generator/include/TestHarness.h:MixedTyped
- // int -> FLOAT32 map
- {},
- // int -> INT32 map
- {},
- // int -> QUANT8_ASYMM map
- {{0, {1, 2, 4, 3}}},
- // int -> QUANT16_SYMM map
- {},
- // int -> FLOAT16 map
- {},
-},
-//Output(s)
-{ // See tools/test_generator/include/TestHarness.h:MixedTyped
- // int -> FLOAT32 map
- {},
- // int -> INT32 map
- {{0, {1, 0}}},
- // int -> QUANT8_ASYMM map
- {},
- // int -> QUANT16_SYMM map
- {},
- // int -> FLOAT16 map
- {},
-}
-},
-}, // End of an example
-};
-
diff --git a/nn/runtime/test/generated/examples/argmax_2.example.cpp b/nn/runtime/test/generated/examples/argmax_2.example.cpp
new file mode 100644
index 0000000..1ed89c8
--- /dev/null
+++ b/nn/runtime/test/generated/examples/argmax_2.example.cpp
@@ -0,0 +1,187 @@
+// clang-format off
+// Generated file (from: argmax_2.mod.py). Do not edit
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {1.0f, 2.0f, 4.0f, 3.0f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {1, 1}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples;
+};
+
+std::vector<MixedTypedExample>& get_examples_relaxed() {
+static std::vector<MixedTypedExample> examples_relaxed = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {1.0f, 2.0f, 4.0f, 3.0f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {1, 1}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_relaxed;
+};
+
+std::vector<MixedTypedExample>& get_examples_float16() {
+static std::vector<MixedTypedExample> examples_float16 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 2.0f, 4.0f, 3.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {1, 1}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_float16;
+};
+
+std::vector<MixedTypedExample>& get_examples_int32() {
+static std::vector<MixedTypedExample> examples_int32 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {1, 2, 4, 3}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {1, 1}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_int32;
+};
+
+std::vector<MixedTypedExample>& get_examples_quant8() {
+static std::vector<MixedTypedExample> examples_quant8 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {{0, {1, 2, 4, 3}}},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {1, 1}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_quant8;
+};
+
diff --git a/nn/runtime/test/generated/examples/argmax_2_float.example.cpp b/nn/runtime/test/generated/examples/argmax_2_float.example.cpp
deleted file mode 100644
index fe4d149..0000000
--- a/nn/runtime/test/generated/examples/argmax_2_float.example.cpp
+++ /dev/null
@@ -1,36 +0,0 @@
-// clang-format off
-// Generated file (from: argmax_2_float.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
-// Begin of an example
-{
-.operands = {
-//Input(s)
-{ // See tools/test_generator/include/TestHarness.h:MixedTyped
- // int -> FLOAT32 map
- {{0, {1.0f, 2.0f, 4.0f, 3.0f}}},
- // int -> INT32 map
- {},
- // int -> QUANT8_ASYMM map
- {},
- // int -> QUANT16_SYMM map
- {},
- // int -> FLOAT16 map
- {},
-},
-//Output(s)
-{ // See tools/test_generator/include/TestHarness.h:MixedTyped
- // int -> FLOAT32 map
- {},
- // int -> INT32 map
- {{0, {1, 1}}},
- // int -> QUANT8_ASYMM map
- {},
- // int -> QUANT16_SYMM map
- {},
- // int -> FLOAT16 map
- {},
-}
-},
-}, // End of an example
-};
-
diff --git a/nn/runtime/test/generated/examples/argmax_2_float_relaxed.example.cpp b/nn/runtime/test/generated/examples/argmax_2_float_relaxed.example.cpp
deleted file mode 100644
index e510a98..0000000
--- a/nn/runtime/test/generated/examples/argmax_2_float_relaxed.example.cpp
+++ /dev/null
@@ -1,36 +0,0 @@
-// clang-format off
-// Generated file (from: argmax_2_float_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
-// Begin of an example
-{
-.operands = {
-//Input(s)
-{ // See tools/test_generator/include/TestHarness.h:MixedTyped
- // int -> FLOAT32 map
- {{0, {1.0f, 2.0f, 4.0f, 3.0f}}},
- // int -> INT32 map
- {},
- // int -> QUANT8_ASYMM map
- {},
- // int -> QUANT16_SYMM map
- {},
- // int -> FLOAT16 map
- {},
-},
-//Output(s)
-{ // See tools/test_generator/include/TestHarness.h:MixedTyped
- // int -> FLOAT32 map
- {},
- // int -> INT32 map
- {{0, {1, 1}}},
- // int -> QUANT8_ASYMM map
- {},
- // int -> QUANT16_SYMM map
- {},
- // int -> FLOAT16 map
- {},
-}
-},
-}, // End of an example
-};
-
diff --git a/nn/runtime/test/generated/examples/argmax_2_int32.example.cpp b/nn/runtime/test/generated/examples/argmax_2_int32.example.cpp
deleted file mode 100644
index 131c998..0000000
--- a/nn/runtime/test/generated/examples/argmax_2_int32.example.cpp
+++ /dev/null
@@ -1,36 +0,0 @@
-// clang-format off
-// Generated file (from: argmax_2_int32.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
-// Begin of an example
-{
-.operands = {
-//Input(s)
-{ // See tools/test_generator/include/TestHarness.h:MixedTyped
- // int -> FLOAT32 map
- {},
- // int -> INT32 map
- {{0, {1, 2, 4, 3}}},
- // int -> QUANT8_ASYMM map
- {},
- // int -> QUANT16_SYMM map
- {},
- // int -> FLOAT16 map
- {},
-},
-//Output(s)
-{ // See tools/test_generator/include/TestHarness.h:MixedTyped
- // int -> FLOAT32 map
- {},
- // int -> INT32 map
- {{0, {1, 1}}},
- // int -> QUANT8_ASYMM map
- {},
- // int -> QUANT16_SYMM map
- {},
- // int -> FLOAT16 map
- {},
-}
-},
-}, // End of an example
-};
-
diff --git a/nn/runtime/test/generated/examples/argmax_2_quant8.example.cpp b/nn/runtime/test/generated/examples/argmax_2_quant8.example.cpp
deleted file mode 100644
index d613058..0000000
--- a/nn/runtime/test/generated/examples/argmax_2_quant8.example.cpp
+++ /dev/null
@@ -1,36 +0,0 @@
-// clang-format off
-// Generated file (from: argmax_2_quant8.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
-// Begin of an example
-{
-.operands = {
-//Input(s)
-{ // See tools/test_generator/include/TestHarness.h:MixedTyped
- // int -> FLOAT32 map
- {},
- // int -> INT32 map
- {},
- // int -> QUANT8_ASYMM map
- {{0, {1, 2, 4, 3}}},
- // int -> QUANT16_SYMM map
- {},
- // int -> FLOAT16 map
- {},
-},
-//Output(s)
-{ // See tools/test_generator/include/TestHarness.h:MixedTyped
- // int -> FLOAT32 map
- {},
- // int -> INT32 map
- {{0, {1, 1}}},
- // int -> QUANT8_ASYMM map
- {},
- // int -> QUANT16_SYMM map
- {},
- // int -> FLOAT16 map
- {},
-}
-},
-}, // End of an example
-};
-
diff --git a/nn/runtime/test/generated/examples/argmax_3.example.cpp b/nn/runtime/test/generated/examples/argmax_3.example.cpp
new file mode 100644
index 0000000..1b6685c
--- /dev/null
+++ b/nn/runtime/test/generated/examples/argmax_3.example.cpp
@@ -0,0 +1,187 @@
+// clang-format off
+// Generated file (from: argmax_3.mod.py). Do not edit
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {1.0f, 2.0f, 4.0f, 3.0f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {1, 0}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples;
+};
+
+std::vector<MixedTypedExample>& get_examples_relaxed() {
+static std::vector<MixedTypedExample> examples_relaxed = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {1.0f, 2.0f, 4.0f, 3.0f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {1, 0}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_relaxed;
+};
+
+std::vector<MixedTypedExample>& get_examples_float16() {
+static std::vector<MixedTypedExample> examples_float16 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 2.0f, 4.0f, 3.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {1, 0}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_float16;
+};
+
+std::vector<MixedTypedExample>& get_examples_int32() {
+static std::vector<MixedTypedExample> examples_int32 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {1, 2, 4, 3}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {1, 0}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_int32;
+};
+
+std::vector<MixedTypedExample>& get_examples_quant8() {
+static std::vector<MixedTypedExample> examples_quant8 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {{0, {1, 2, 4, 3}}},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {1, 0}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_quant8;
+};
+
diff --git a/nn/runtime/test/generated/examples/argmax_3_float.example.cpp b/nn/runtime/test/generated/examples/argmax_3_float.example.cpp
deleted file mode 100644
index 26652ed..0000000
--- a/nn/runtime/test/generated/examples/argmax_3_float.example.cpp
+++ /dev/null
@@ -1,36 +0,0 @@
-// clang-format off
-// Generated file (from: argmax_3_float.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
-// Begin of an example
-{
-.operands = {
-//Input(s)
-{ // See tools/test_generator/include/TestHarness.h:MixedTyped
- // int -> FLOAT32 map
- {{0, {1.0f, 2.0f, 4.0f, 3.0f}}},
- // int -> INT32 map
- {},
- // int -> QUANT8_ASYMM map
- {},
- // int -> QUANT16_SYMM map
- {},
- // int -> FLOAT16 map
- {},
-},
-//Output(s)
-{ // See tools/test_generator/include/TestHarness.h:MixedTyped
- // int -> FLOAT32 map
- {},
- // int -> INT32 map
- {{0, {1, 0}}},
- // int -> QUANT8_ASYMM map
- {},
- // int -> QUANT16_SYMM map
- {},
- // int -> FLOAT16 map
- {},
-}
-},
-}, // End of an example
-};
-
diff --git a/nn/runtime/test/generated/examples/argmin_1.example.cpp b/nn/runtime/test/generated/examples/argmin_1.example.cpp
new file mode 100644
index 0000000..7478b7d
--- /dev/null
+++ b/nn/runtime/test/generated/examples/argmin_1.example.cpp
@@ -0,0 +1,187 @@
+// clang-format off
+// Generated file (from: argmin_1.mod.py). Do not edit
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {1.0f, 2.0f, 4.0f, 3.0f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {0, 1}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples;
+};
+
+std::vector<MixedTypedExample>& get_examples_relaxed() {
+static std::vector<MixedTypedExample> examples_relaxed = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {1.0f, 2.0f, 4.0f, 3.0f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {0, 1}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_relaxed;
+};
+
+std::vector<MixedTypedExample>& get_examples_float16() {
+static std::vector<MixedTypedExample> examples_float16 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 2.0f, 4.0f, 3.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {0, 1}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_float16;
+};
+
+std::vector<MixedTypedExample>& get_examples_int32() {
+static std::vector<MixedTypedExample> examples_int32 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {1, 2, 4, 3}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {0, 1}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_int32;
+};
+
+std::vector<MixedTypedExample>& get_examples_quant8() {
+static std::vector<MixedTypedExample> examples_quant8 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {{0, {1, 2, 4, 3}}},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {0, 1}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_quant8;
+};
+
diff --git a/nn/runtime/test/generated/examples/argmin_1_float.example.cpp b/nn/runtime/test/generated/examples/argmin_1_float.example.cpp
deleted file mode 100644
index 53ecdc5..0000000
--- a/nn/runtime/test/generated/examples/argmin_1_float.example.cpp
+++ /dev/null
@@ -1,36 +0,0 @@
-// clang-format off
-// Generated file (from: argmin_1_float.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
-// Begin of an example
-{
-.operands = {
-//Input(s)
-{ // See tools/test_generator/include/TestHarness.h:MixedTyped
- // int -> FLOAT32 map
- {{0, {1.0f, 2.0f, 4.0f, 3.0f}}},
- // int -> INT32 map
- {},
- // int -> QUANT8_ASYMM map
- {},
- // int -> QUANT16_SYMM map
- {},
- // int -> FLOAT16 map
- {},
-},
-//Output(s)
-{ // See tools/test_generator/include/TestHarness.h:MixedTyped
- // int -> FLOAT32 map
- {},
- // int -> INT32 map
- {{0, {0, 1}}},
- // int -> QUANT8_ASYMM map
- {},
- // int -> QUANT16_SYMM map
- {},
- // int -> FLOAT16 map
- {},
-}
-},
-}, // End of an example
-};
-
diff --git a/nn/runtime/test/generated/examples/argmin_1_float_relaxed.example.cpp b/nn/runtime/test/generated/examples/argmin_1_float_relaxed.example.cpp
deleted file mode 100644
index c7d1162..0000000
--- a/nn/runtime/test/generated/examples/argmin_1_float_relaxed.example.cpp
+++ /dev/null
@@ -1,36 +0,0 @@
-// clang-format off
-// Generated file (from: argmin_1_float_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
-// Begin of an example
-{
-.operands = {
-//Input(s)
-{ // See tools/test_generator/include/TestHarness.h:MixedTyped
- // int -> FLOAT32 map
- {{0, {1.0f, 2.0f, 4.0f, 3.0f}}},
- // int -> INT32 map
- {},
- // int -> QUANT8_ASYMM map
- {},
- // int -> QUANT16_SYMM map
- {},
- // int -> FLOAT16 map
- {},
-},
-//Output(s)
-{ // See tools/test_generator/include/TestHarness.h:MixedTyped
- // int -> FLOAT32 map
- {},
- // int -> INT32 map
- {{0, {0, 1}}},
- // int -> QUANT8_ASYMM map
- {},
- // int -> QUANT16_SYMM map
- {},
- // int -> FLOAT16 map
- {},
-}
-},
-}, // End of an example
-};
-
diff --git a/nn/runtime/test/generated/examples/argmin_1_int32.example.cpp b/nn/runtime/test/generated/examples/argmin_1_int32.example.cpp
deleted file mode 100644
index bfa7f48..0000000
--- a/nn/runtime/test/generated/examples/argmin_1_int32.example.cpp
+++ /dev/null
@@ -1,36 +0,0 @@
-// clang-format off
-// Generated file (from: argmin_1_int32.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
-// Begin of an example
-{
-.operands = {
-//Input(s)
-{ // See tools/test_generator/include/TestHarness.h:MixedTyped
- // int -> FLOAT32 map
- {},
- // int -> INT32 map
- {{0, {1, 2, 4, 3}}},
- // int -> QUANT8_ASYMM map
- {},
- // int -> QUANT16_SYMM map
- {},
- // int -> FLOAT16 map
- {},
-},
-//Output(s)
-{ // See tools/test_generator/include/TestHarness.h:MixedTyped
- // int -> FLOAT32 map
- {},
- // int -> INT32 map
- {{0, {0, 1}}},
- // int -> QUANT8_ASYMM map
- {},
- // int -> QUANT16_SYMM map
- {},
- // int -> FLOAT16 map
- {},
-}
-},
-}, // End of an example
-};
-
diff --git a/nn/runtime/test/generated/examples/argmin_1_quant8.example.cpp b/nn/runtime/test/generated/examples/argmin_1_quant8.example.cpp
deleted file mode 100644
index 3730918..0000000
--- a/nn/runtime/test/generated/examples/argmin_1_quant8.example.cpp
+++ /dev/null
@@ -1,36 +0,0 @@
-// clang-format off
-// Generated file (from: argmin_1_quant8.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
-// Begin of an example
-{
-.operands = {
-//Input(s)
-{ // See tools/test_generator/include/TestHarness.h:MixedTyped
- // int -> FLOAT32 map
- {},
- // int -> INT32 map
- {},
- // int -> QUANT8_ASYMM map
- {{0, {1, 2, 4, 3}}},
- // int -> QUANT16_SYMM map
- {},
- // int -> FLOAT16 map
- {},
-},
-//Output(s)
-{ // See tools/test_generator/include/TestHarness.h:MixedTyped
- // int -> FLOAT32 map
- {},
- // int -> INT32 map
- {{0, {0, 1}}},
- // int -> QUANT8_ASYMM map
- {},
- // int -> QUANT16_SYMM map
- {},
- // int -> FLOAT16 map
- {},
-}
-},
-}, // End of an example
-};
-
diff --git a/nn/runtime/test/generated/examples/argmin_2.example.cpp b/nn/runtime/test/generated/examples/argmin_2.example.cpp
new file mode 100644
index 0000000..58947ae
--- /dev/null
+++ b/nn/runtime/test/generated/examples/argmin_2.example.cpp
@@ -0,0 +1,187 @@
+// clang-format off
+// Generated file (from: argmin_2.mod.py). Do not edit
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {1.0f, 2.0f, 4.0f, 3.0f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {0, 0}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples;
+};
+
+std::vector<MixedTypedExample>& get_examples_relaxed() {
+static std::vector<MixedTypedExample> examples_relaxed = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {1.0f, 2.0f, 4.0f, 3.0f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {0, 0}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_relaxed;
+};
+
+std::vector<MixedTypedExample>& get_examples_float16() {
+static std::vector<MixedTypedExample> examples_float16 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 2.0f, 4.0f, 3.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {0, 0}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_float16;
+};
+
+std::vector<MixedTypedExample>& get_examples_int32() {
+static std::vector<MixedTypedExample> examples_int32 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {1, 2, 4, 3}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {0, 0}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_int32;
+};
+
+std::vector<MixedTypedExample>& get_examples_quant8() {
+static std::vector<MixedTypedExample> examples_quant8 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {{0, {1, 2, 4, 3}}},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {0, 0}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_quant8;
+};
+
diff --git a/nn/runtime/test/generated/examples/argmin_2_float.example.cpp b/nn/runtime/test/generated/examples/argmin_2_float.example.cpp
deleted file mode 100644
index d28043c..0000000
--- a/nn/runtime/test/generated/examples/argmin_2_float.example.cpp
+++ /dev/null
@@ -1,36 +0,0 @@
-// clang-format off
-// Generated file (from: argmin_2_float.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
-// Begin of an example
-{
-.operands = {
-//Input(s)
-{ // See tools/test_generator/include/TestHarness.h:MixedTyped
- // int -> FLOAT32 map
- {{0, {1.0f, 2.0f, 4.0f, 3.0f}}},
- // int -> INT32 map
- {},
- // int -> QUANT8_ASYMM map
- {},
- // int -> QUANT16_SYMM map
- {},
- // int -> FLOAT16 map
- {},
-},
-//Output(s)
-{ // See tools/test_generator/include/TestHarness.h:MixedTyped
- // int -> FLOAT32 map
- {},
- // int -> INT32 map
- {{0, {0, 0}}},
- // int -> QUANT8_ASYMM map
- {},
- // int -> QUANT16_SYMM map
- {},
- // int -> FLOAT16 map
- {},
-}
-},
-}, // End of an example
-};
-
diff --git a/nn/runtime/test/generated/examples/argmin_2_float_relaxed.example.cpp b/nn/runtime/test/generated/examples/argmin_2_float_relaxed.example.cpp
deleted file mode 100644
index cf495af..0000000
--- a/nn/runtime/test/generated/examples/argmin_2_float_relaxed.example.cpp
+++ /dev/null
@@ -1,36 +0,0 @@
-// clang-format off
-// Generated file (from: argmin_2_float_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
-// Begin of an example
-{
-.operands = {
-//Input(s)
-{ // See tools/test_generator/include/TestHarness.h:MixedTyped
- // int -> FLOAT32 map
- {{0, {1.0f, 2.0f, 4.0f, 3.0f}}},
- // int -> INT32 map
- {},
- // int -> QUANT8_ASYMM map
- {},
- // int -> QUANT16_SYMM map
- {},
- // int -> FLOAT16 map
- {},
-},
-//Output(s)
-{ // See tools/test_generator/include/TestHarness.h:MixedTyped
- // int -> FLOAT32 map
- {},
- // int -> INT32 map
- {{0, {0, 0}}},
- // int -> QUANT8_ASYMM map
- {},
- // int -> QUANT16_SYMM map
- {},
- // int -> FLOAT16 map
- {},
-}
-},
-}, // End of an example
-};
-
diff --git a/nn/runtime/test/generated/examples/argmin_2_int32.example.cpp b/nn/runtime/test/generated/examples/argmin_2_int32.example.cpp
deleted file mode 100644
index 2001872..0000000
--- a/nn/runtime/test/generated/examples/argmin_2_int32.example.cpp
+++ /dev/null
@@ -1,36 +0,0 @@
-// clang-format off
-// Generated file (from: argmin_2_int32.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
-// Begin of an example
-{
-.operands = {
-//Input(s)
-{ // See tools/test_generator/include/TestHarness.h:MixedTyped
- // int -> FLOAT32 map
- {},
- // int -> INT32 map
- {{0, {1, 2, 4, 3}}},
- // int -> QUANT8_ASYMM map
- {},
- // int -> QUANT16_SYMM map
- {},
- // int -> FLOAT16 map
- {},
-},
-//Output(s)
-{ // See tools/test_generator/include/TestHarness.h:MixedTyped
- // int -> FLOAT32 map
- {},
- // int -> INT32 map
- {{0, {0, 0}}},
- // int -> QUANT8_ASYMM map
- {},
- // int -> QUANT16_SYMM map
- {},
- // int -> FLOAT16 map
- {},
-}
-},
-}, // End of an example
-};
-
diff --git a/nn/runtime/test/generated/examples/argmin_3.example.cpp b/nn/runtime/test/generated/examples/argmin_3.example.cpp
new file mode 100644
index 0000000..6907824
--- /dev/null
+++ b/nn/runtime/test/generated/examples/argmin_3.example.cpp
@@ -0,0 +1,187 @@
+// clang-format off
+// Generated file (from: argmin_3.mod.py). Do not edit
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {1.0f, 2.0f, 4.0f, 3.0f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {0, 1}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples;
+};
+
+std::vector<MixedTypedExample>& get_examples_relaxed() {
+static std::vector<MixedTypedExample> examples_relaxed = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {1.0f, 2.0f, 4.0f, 3.0f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {0, 1}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_relaxed;
+};
+
+std::vector<MixedTypedExample>& get_examples_float16() {
+static std::vector<MixedTypedExample> examples_float16 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 2.0f, 4.0f, 3.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {0, 1}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_float16;
+};
+
+std::vector<MixedTypedExample>& get_examples_int32() {
+static std::vector<MixedTypedExample> examples_int32 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {1, 2, 4, 3}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {0, 1}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_int32;
+};
+
+std::vector<MixedTypedExample>& get_examples_quant8() {
+static std::vector<MixedTypedExample> examples_quant8 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {{0, {1, 2, 4, 3}}},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {0, 1}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_quant8;
+};
+
diff --git a/nn/runtime/test/generated/examples/argmin_3_float.example.cpp b/nn/runtime/test/generated/examples/argmin_3_float.example.cpp
deleted file mode 100644
index 58ba3b1..0000000
--- a/nn/runtime/test/generated/examples/argmin_3_float.example.cpp
+++ /dev/null
@@ -1,36 +0,0 @@
-// clang-format off
-// Generated file (from: argmin_3_float.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
-// Begin of an example
-{
-.operands = {
-//Input(s)
-{ // See tools/test_generator/include/TestHarness.h:MixedTyped
- // int -> FLOAT32 map
- {{0, {1.0f, 2.0f, 4.0f, 3.0f}}},
- // int -> INT32 map
- {},
- // int -> QUANT8_ASYMM map
- {},
- // int -> QUANT16_SYMM map
- {},
- // int -> FLOAT16 map
- {},
-},
-//Output(s)
-{ // See tools/test_generator/include/TestHarness.h:MixedTyped
- // int -> FLOAT32 map
- {},
- // int -> INT32 map
- {{0, {0, 1}}},
- // int -> QUANT8_ASYMM map
- {},
- // int -> QUANT16_SYMM map
- {},
- // int -> FLOAT16 map
- {},
-}
-},
-}, // End of an example
-};
-
diff --git a/nn/runtime/test/generated/examples/avg_pool_float_1.example.cpp b/nn/runtime/test/generated/examples/avg_pool_float_1.example.cpp
index a7cb1ef..2e99b12 100644
--- a/nn/runtime/test/generated/examples/avg_pool_float_1.example.cpp
+++ b/nn/runtime/test/generated/examples/avg_pool_float_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: avg_pool_float_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/avg_pool_float_1_relaxed.example.cpp b/nn/runtime/test/generated/examples/avg_pool_float_1_relaxed.example.cpp
index d79a238..0b1b889 100644
--- a/nn/runtime/test/generated/examples/avg_pool_float_1_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/avg_pool_float_1_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: avg_pool_float_1_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/avg_pool_float_2.example.cpp b/nn/runtime/test/generated/examples/avg_pool_float_2.example.cpp
index 4deea37..1c4eba0 100644
--- a/nn/runtime/test/generated/examples/avg_pool_float_2.example.cpp
+++ b/nn/runtime/test/generated/examples/avg_pool_float_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: avg_pool_float_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/avg_pool_float_2_relaxed.example.cpp b/nn/runtime/test/generated/examples/avg_pool_float_2_relaxed.example.cpp
index aee0a08..a0fbfed 100644
--- a/nn/runtime/test/generated/examples/avg_pool_float_2_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/avg_pool_float_2_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: avg_pool_float_2_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/avg_pool_float_3.example.cpp b/nn/runtime/test/generated/examples/avg_pool_float_3.example.cpp
index d5b30aa..84ad9cb 100644
--- a/nn/runtime/test/generated/examples/avg_pool_float_3.example.cpp
+++ b/nn/runtime/test/generated/examples/avg_pool_float_3.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: avg_pool_float_3.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/avg_pool_float_3_relaxed.example.cpp b/nn/runtime/test/generated/examples/avg_pool_float_3_relaxed.example.cpp
index 044dc1d..db35618 100644
--- a/nn/runtime/test/generated/examples/avg_pool_float_3_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/avg_pool_float_3_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: avg_pool_float_3_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/avg_pool_float_4.example.cpp b/nn/runtime/test/generated/examples/avg_pool_float_4.example.cpp
index 542aa2a..f0505ec 100644
--- a/nn/runtime/test/generated/examples/avg_pool_float_4.example.cpp
+++ b/nn/runtime/test/generated/examples/avg_pool_float_4.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: avg_pool_float_4.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/avg_pool_float_4_relaxed.example.cpp b/nn/runtime/test/generated/examples/avg_pool_float_4_relaxed.example.cpp
index 6c75cae..335a4e0 100644
--- a/nn/runtime/test/generated/examples/avg_pool_float_4_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/avg_pool_float_4_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: avg_pool_float_4_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/avg_pool_float_5.example.cpp b/nn/runtime/test/generated/examples/avg_pool_float_5.example.cpp
index ecc9317..e8ce3f6 100644
--- a/nn/runtime/test/generated/examples/avg_pool_float_5.example.cpp
+++ b/nn/runtime/test/generated/examples/avg_pool_float_5.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: avg_pool_float_5.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/avg_pool_float_5_relaxed.example.cpp b/nn/runtime/test/generated/examples/avg_pool_float_5_relaxed.example.cpp
index 9da5537..90fc982 100644
--- a/nn/runtime/test/generated/examples/avg_pool_float_5_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/avg_pool_float_5_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: avg_pool_float_5_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/avg_pool_quant8_1.example.cpp b/nn/runtime/test/generated/examples/avg_pool_quant8_1.example.cpp
index ff39d92..b4181df 100644
--- a/nn/runtime/test/generated/examples/avg_pool_quant8_1.example.cpp
+++ b/nn/runtime/test/generated/examples/avg_pool_quant8_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: avg_pool_quant8_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/avg_pool_quant8_2.example.cpp b/nn/runtime/test/generated/examples/avg_pool_quant8_2.example.cpp
index b19d684..39b5f29 100644
--- a/nn/runtime/test/generated/examples/avg_pool_quant8_2.example.cpp
+++ b/nn/runtime/test/generated/examples/avg_pool_quant8_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: avg_pool_quant8_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/avg_pool_quant8_3.example.cpp b/nn/runtime/test/generated/examples/avg_pool_quant8_3.example.cpp
index c16d3eb..cce59c4 100644
--- a/nn/runtime/test/generated/examples/avg_pool_quant8_3.example.cpp
+++ b/nn/runtime/test/generated/examples/avg_pool_quant8_3.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: avg_pool_quant8_3.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/avg_pool_quant8_4.example.cpp b/nn/runtime/test/generated/examples/avg_pool_quant8_4.example.cpp
index 015275b..7036c27 100644
--- a/nn/runtime/test/generated/examples/avg_pool_quant8_4.example.cpp
+++ b/nn/runtime/test/generated/examples/avg_pool_quant8_4.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: avg_pool_quant8_4.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/avg_pool_quant8_5.example.cpp b/nn/runtime/test/generated/examples/avg_pool_quant8_5.example.cpp
index 1b540ce..3c6ef7b 100644
--- a/nn/runtime/test/generated/examples/avg_pool_quant8_5.example.cpp
+++ b/nn/runtime/test/generated/examples/avg_pool_quant8_5.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: avg_pool_quant8_5.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/avg_pool_v1_2.example.cpp b/nn/runtime/test/generated/examples/avg_pool_v1_2.example.cpp
index 9597ba7..cef5e4d 100644
--- a/nn/runtime/test/generated/examples/avg_pool_v1_2.example.cpp
+++ b/nn/runtime/test/generated/examples/avg_pool_v1_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: avg_pool_v1_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples_nhwc = {
+std::vector<MixedTypedExample>& get_examples_nhwc() {
+static std::vector<MixedTypedExample> examples_nhwc = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples_nhwc;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,11 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed;
+};
-std::vector<MixedTypedExample> examples_nhwc_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8 = {
// Begin of an example
{
.operands = {
@@ -101,8 +108,11 @@
},
}, // End of an example
};
+return examples_nhwc_quant8;
+};
-std::vector<MixedTypedExample> examples_nchw = {
+std::vector<MixedTypedExample>& get_examples_nchw() {
+static std::vector<MixedTypedExample> examples_nchw = {
// Begin of an example
{
.operands = {
@@ -135,8 +145,11 @@
},
}, // End of an example
};
+return examples_nchw;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed = {
// Begin of an example
{
.operands = {
@@ -169,8 +182,11 @@
},
}, // End of an example
};
+return examples_nchw_relaxed;
+};
-std::vector<MixedTypedExample> examples_nchw_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nchw_quant8() {
+static std::vector<MixedTypedExample> examples_nchw_quant8 = {
// Begin of an example
{
.operands = {
@@ -203,8 +219,11 @@
},
}, // End of an example
};
+return examples_nchw_quant8;
+};
-std::vector<MixedTypedExample> examples_nhwc_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_2() {
+static std::vector<MixedTypedExample> examples_nhwc_2 = {
// Begin of an example
{
.operands = {
@@ -237,8 +256,11 @@
},
}, // End of an example
};
+return examples_nhwc_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed_2() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -271,8 +293,11 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_quant8_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8_2() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8_2 = {
// Begin of an example
{
.operands = {
@@ -305,8 +330,11 @@
},
}, // End of an example
};
+return examples_nhwc_quant8_2;
+};
-std::vector<MixedTypedExample> examples_nchw_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_2() {
+static std::vector<MixedTypedExample> examples_nchw_2 = {
// Begin of an example
{
.operands = {
@@ -339,8 +367,11 @@
},
}, // End of an example
};
+return examples_nchw_2;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed_2() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -373,8 +404,11 @@
},
}, // End of an example
};
+return examples_nchw_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_nchw_quant8_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_quant8_2() {
+static std::vector<MixedTypedExample> examples_nchw_quant8_2 = {
// Begin of an example
{
.operands = {
@@ -407,8 +441,11 @@
},
}, // End of an example
};
+return examples_nchw_quant8_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_3 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_3() {
+static std::vector<MixedTypedExample> examples_nhwc_3 = {
// Begin of an example
{
.operands = {
@@ -441,8 +478,11 @@
},
}, // End of an example
};
+return examples_nhwc_3;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed_3 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed_3() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed_3 = {
// Begin of an example
{
.operands = {
@@ -475,8 +515,11 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed_3;
+};
-std::vector<MixedTypedExample> examples_nhwc_quant8_3 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8_3() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8_3 = {
// Begin of an example
{
.operands = {
@@ -509,8 +552,11 @@
},
}, // End of an example
};
+return examples_nhwc_quant8_3;
+};
-std::vector<MixedTypedExample> examples_nchw_3 = {
+std::vector<MixedTypedExample>& get_examples_nchw_3() {
+static std::vector<MixedTypedExample> examples_nchw_3 = {
// Begin of an example
{
.operands = {
@@ -543,8 +589,11 @@
},
}, // End of an example
};
+return examples_nchw_3;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed_3 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed_3() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed_3 = {
// Begin of an example
{
.operands = {
@@ -577,8 +626,11 @@
},
}, // End of an example
};
+return examples_nchw_relaxed_3;
+};
-std::vector<MixedTypedExample> examples_nchw_quant8_3 = {
+std::vector<MixedTypedExample>& get_examples_nchw_quant8_3() {
+static std::vector<MixedTypedExample> examples_nchw_quant8_3 = {
// Begin of an example
{
.operands = {
@@ -611,8 +663,11 @@
},
}, // End of an example
};
+return examples_nchw_quant8_3;
+};
-std::vector<MixedTypedExample> examples_nhwc_4 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_4() {
+static std::vector<MixedTypedExample> examples_nhwc_4 = {
// Begin of an example
{
.operands = {
@@ -645,8 +700,11 @@
},
}, // End of an example
};
+return examples_nhwc_4;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed_4 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed_4() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed_4 = {
// Begin of an example
{
.operands = {
@@ -679,8 +737,11 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed_4;
+};
-std::vector<MixedTypedExample> examples_nhwc_quant8_4 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8_4() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8_4 = {
// Begin of an example
{
.operands = {
@@ -713,8 +774,11 @@
},
}, // End of an example
};
+return examples_nhwc_quant8_4;
+};
-std::vector<MixedTypedExample> examples_nchw_4 = {
+std::vector<MixedTypedExample>& get_examples_nchw_4() {
+static std::vector<MixedTypedExample> examples_nchw_4 = {
// Begin of an example
{
.operands = {
@@ -747,8 +811,11 @@
},
}, // End of an example
};
+return examples_nchw_4;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed_4 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed_4() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed_4 = {
// Begin of an example
{
.operands = {
@@ -781,8 +848,11 @@
},
}, // End of an example
};
+return examples_nchw_relaxed_4;
+};
-std::vector<MixedTypedExample> examples_nchw_quant8_4 = {
+std::vector<MixedTypedExample>& get_examples_nchw_quant8_4() {
+static std::vector<MixedTypedExample> examples_nchw_quant8_4 = {
// Begin of an example
{
.operands = {
@@ -815,8 +885,11 @@
},
}, // End of an example
};
+return examples_nchw_quant8_4;
+};
-std::vector<MixedTypedExample> examples_nhwc_5 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_5() {
+static std::vector<MixedTypedExample> examples_nhwc_5 = {
// Begin of an example
{
.operands = {
@@ -849,8 +922,11 @@
},
}, // End of an example
};
+return examples_nhwc_5;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed_5 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed_5() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed_5 = {
// Begin of an example
{
.operands = {
@@ -883,8 +959,11 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed_5;
+};
-std::vector<MixedTypedExample> examples_nhwc_quant8_5 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8_5() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8_5 = {
// Begin of an example
{
.operands = {
@@ -917,8 +996,11 @@
},
}, // End of an example
};
+return examples_nhwc_quant8_5;
+};
-std::vector<MixedTypedExample> examples_nchw_5 = {
+std::vector<MixedTypedExample>& get_examples_nchw_5() {
+static std::vector<MixedTypedExample> examples_nchw_5 = {
// Begin of an example
{
.operands = {
@@ -951,8 +1033,11 @@
},
}, // End of an example
};
+return examples_nchw_5;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed_5 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed_5() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed_5 = {
// Begin of an example
{
.operands = {
@@ -985,8 +1070,11 @@
},
}, // End of an example
};
+return examples_nchw_relaxed_5;
+};
-std::vector<MixedTypedExample> examples_nchw_quant8_5 = {
+std::vector<MixedTypedExample>& get_examples_nchw_quant8_5() {
+static std::vector<MixedTypedExample> examples_nchw_quant8_5 = {
// Begin of an example
{
.operands = {
@@ -1019,4 +1107,6 @@
},
}, // End of an example
};
+return examples_nchw_quant8_5;
+};
diff --git a/nn/runtime/test/generated/examples/axis_aligned_bbox_transform.example.cpp b/nn/runtime/test/generated/examples/axis_aligned_bbox_transform.example.cpp
index 1761c05..4a6f997 100644
--- a/nn/runtime/test/generated/examples/axis_aligned_bbox_transform.example.cpp
+++ b/nn/runtime/test/generated/examples/axis_aligned_bbox_transform.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: axis_aligned_bbox_transform.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples;
+};
-std::vector<MixedTypedExample> examples_relaxed = {
+std::vector<MixedTypedExample>& get_examples_relaxed() {
+static std::vector<MixedTypedExample> examples_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,11 @@
},
}, // End of an example
};
+return examples_relaxed;
+};
-std::vector<MixedTypedExample> examples_2 = {
+std::vector<MixedTypedExample>& get_examples_2() {
+static std::vector<MixedTypedExample> examples_2 = {
// Begin of an example
{
.operands = {
@@ -101,8 +108,11 @@
},
}, // End of an example
};
+return examples_2;
+};
-std::vector<MixedTypedExample> examples_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_2() {
+static std::vector<MixedTypedExample> examples_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -135,8 +145,11 @@
},
}, // End of an example
};
+return examples_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_single_batch = {
+std::vector<MixedTypedExample>& get_examples_single_batch() {
+static std::vector<MixedTypedExample> examples_single_batch = {
// Begin of an example
{
.operands = {
@@ -169,8 +182,11 @@
},
}, // End of an example
};
+return examples_single_batch;
+};
-std::vector<MixedTypedExample> examples_single_batch_relaxed = {
+std::vector<MixedTypedExample>& get_examples_single_batch_relaxed() {
+static std::vector<MixedTypedExample> examples_single_batch_relaxed = {
// Begin of an example
{
.operands = {
@@ -203,4 +219,6 @@
},
}, // End of an example
};
+return examples_single_batch_relaxed;
+};
diff --git a/nn/runtime/test/generated/examples/batch_to_space.example.cpp b/nn/runtime/test/generated/examples/batch_to_space.example.cpp
index 21075ef..30ca664 100644
--- a/nn/runtime/test/generated/examples/batch_to_space.example.cpp
+++ b/nn/runtime/test/generated/examples/batch_to_space.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: batch_to_space.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/batch_to_space_float_1.example.cpp b/nn/runtime/test/generated/examples/batch_to_space_float_1.example.cpp
index 5f16bae..0c3f081 100644
--- a/nn/runtime/test/generated/examples/batch_to_space_float_1.example.cpp
+++ b/nn/runtime/test/generated/examples/batch_to_space_float_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: batch_to_space_float_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/batch_to_space_float_1_relaxed.example.cpp b/nn/runtime/test/generated/examples/batch_to_space_float_1_relaxed.example.cpp
index 7251d72..a4623d6 100644
--- a/nn/runtime/test/generated/examples/batch_to_space_float_1_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/batch_to_space_float_1_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: batch_to_space_float_1_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/batch_to_space_quant8_1.example.cpp b/nn/runtime/test/generated/examples/batch_to_space_quant8_1.example.cpp
index cc50fb4..31af706 100644
--- a/nn/runtime/test/generated/examples/batch_to_space_quant8_1.example.cpp
+++ b/nn/runtime/test/generated/examples/batch_to_space_quant8_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: batch_to_space_quant8_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/batch_to_space_relaxed.example.cpp b/nn/runtime/test/generated/examples/batch_to_space_relaxed.example.cpp
index 23fa0f4..63a6db7 100644
--- a/nn/runtime/test/generated/examples/batch_to_space_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/batch_to_space_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: batch_to_space_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/batch_to_space_v1_2.example.cpp b/nn/runtime/test/generated/examples/batch_to_space_v1_2.example.cpp
index cb310c3..f81da44 100644
--- a/nn/runtime/test/generated/examples/batch_to_space_v1_2.example.cpp
+++ b/nn/runtime/test/generated/examples/batch_to_space_v1_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: batch_to_space_v1_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples_nhwc = {
+std::vector<MixedTypedExample>& get_examples_nhwc() {
+static std::vector<MixedTypedExample> examples_nhwc = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples_nhwc;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,48 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed;
+};
-std::vector<MixedTypedExample> examples_nhwc_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_float16() {
+static std::vector<MixedTypedExample> examples_nhwc_float16 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.399999976158142f, 2.299999952316284f, 3.200000047683716f, 4.099999904632568f, 5.400000095367432f, 6.300000190734863f, 7.199999809265137f, 8.100000381469727f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.399999976158142f, 2.299999952316284f, 3.200000047683716f, 4.099999904632568f, 5.400000095367432f, 6.300000190734863f, 7.199999809265137f, 8.100000381469727f}}},
+}
+},
+}, // End of an example
+};
+return examples_nhwc_float16;
+};
+
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8 = {
// Begin of an example
{
.operands = {
@@ -101,8 +145,11 @@
},
}, // End of an example
};
+return examples_nhwc_quant8;
+};
-std::vector<MixedTypedExample> examples_nchw = {
+std::vector<MixedTypedExample>& get_examples_nchw() {
+static std::vector<MixedTypedExample> examples_nchw = {
// Begin of an example
{
.operands = {
@@ -135,8 +182,11 @@
},
}, // End of an example
};
+return examples_nchw;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed = {
// Begin of an example
{
.operands = {
@@ -169,8 +219,48 @@
},
}, // End of an example
};
+return examples_nchw_relaxed;
+};
-std::vector<MixedTypedExample> examples_nchw_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nchw_float16() {
+static std::vector<MixedTypedExample> examples_nchw_float16 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.399999976158142f, 2.299999952316284f, 3.200000047683716f, 4.099999904632568f, 5.400000095367432f, 6.300000190734863f, 7.199999809265137f, 8.100000381469727f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.399999976158142f, 3.200000047683716f, 5.400000095367432f, 7.199999809265137f, 2.299999952316284f, 4.099999904632568f, 6.300000190734863f, 8.100000381469727f}}},
+}
+},
+}, // End of an example
+};
+return examples_nchw_float16;
+};
+
+std::vector<MixedTypedExample>& get_examples_nchw_quant8() {
+static std::vector<MixedTypedExample> examples_nchw_quant8 = {
// Begin of an example
{
.operands = {
@@ -203,8 +293,11 @@
},
}, // End of an example
};
+return examples_nchw_quant8;
+};
-std::vector<MixedTypedExample> examples_nhwc_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_2() {
+static std::vector<MixedTypedExample> examples_nhwc_2 = {
// Begin of an example
{
.operands = {
@@ -237,8 +330,11 @@
},
}, // End of an example
};
+return examples_nhwc_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed_2() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -271,8 +367,48 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_quant8_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_float16_2() {
+static std::vector<MixedTypedExample> examples_nhwc_float16_2 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 5.0f, 2.0f, 6.0f, 9.0f, 13.0f, 10.0f, 14.0f, 3.0f, 7.0f, 4.0f, 8.0f, 11.0f, 15.0f, 12.0f, 16.0f}}},
+}
+},
+}, // End of an example
+};
+return examples_nhwc_float16_2;
+};
+
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8_2() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8_2 = {
// Begin of an example
{
.operands = {
@@ -305,8 +441,11 @@
},
}, // End of an example
};
+return examples_nhwc_quant8_2;
+};
-std::vector<MixedTypedExample> examples_nchw_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_2() {
+static std::vector<MixedTypedExample> examples_nchw_2 = {
// Begin of an example
{
.operands = {
@@ -339,8 +478,11 @@
},
}, // End of an example
};
+return examples_nchw_2;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed_2() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -373,8 +515,48 @@
},
}, // End of an example
};
+return examples_nchw_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_nchw_quant8_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_float16_2() {
+static std::vector<MixedTypedExample> examples_nchw_float16_2 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 5.0f, 2.0f, 6.0f, 9.0f, 13.0f, 10.0f, 14.0f, 3.0f, 7.0f, 4.0f, 8.0f, 11.0f, 15.0f, 12.0f, 16.0f}}},
+}
+},
+}, // End of an example
+};
+return examples_nchw_float16_2;
+};
+
+std::vector<MixedTypedExample>& get_examples_nchw_quant8_2() {
+static std::vector<MixedTypedExample> examples_nchw_quant8_2 = {
// Begin of an example
{
.operands = {
@@ -407,4 +589,6 @@
},
}, // End of an example
};
+return examples_nchw_quant8_2;
+};
diff --git a/nn/runtime/test/generated/examples/cast.example.cpp b/nn/runtime/test/generated/examples/cast.example.cpp
index 211a3c7..f59eec5 100644
--- a/nn/runtime/test/generated/examples/cast.example.cpp
+++ b/nn/runtime/test/generated/examples/cast.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: cast.mod.py). Do not edit
-std::vector<MixedTypedExample> examples_float16_to_float16 = {
+std::vector<MixedTypedExample>& get_examples_float16_to_float16() {
+static std::vector<MixedTypedExample> examples_float16_to_float16 = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples_float16_to_float16;
+};
-std::vector<MixedTypedExample> examples_float16_to_float32 = {
+std::vector<MixedTypedExample>& get_examples_float16_to_float32() {
+static std::vector<MixedTypedExample> examples_float16_to_float32 = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,11 @@
},
}, // End of an example
};
+return examples_float16_to_float32;
+};
-std::vector<MixedTypedExample> examples_float16_to_float32_relaxed = {
+std::vector<MixedTypedExample>& get_examples_float16_to_float32_relaxed() {
+static std::vector<MixedTypedExample> examples_float16_to_float32_relaxed = {
// Begin of an example
{
.operands = {
@@ -101,8 +108,11 @@
},
}, // End of an example
};
+return examples_float16_to_float32_relaxed;
+};
-std::vector<MixedTypedExample> examples_float16_to_int32 = {
+std::vector<MixedTypedExample>& get_examples_float16_to_int32() {
+static std::vector<MixedTypedExample> examples_float16_to_int32 = {
// Begin of an example
{
.operands = {
@@ -135,8 +145,11 @@
},
}, // End of an example
};
+return examples_float16_to_int32;
+};
-std::vector<MixedTypedExample> examples_float16_to_quant8 = {
+std::vector<MixedTypedExample>& get_examples_float16_to_quant8() {
+static std::vector<MixedTypedExample> examples_float16_to_quant8 = {
// Begin of an example
{
.operands = {
@@ -169,8 +182,11 @@
},
}, // End of an example
};
+return examples_float16_to_quant8;
+};
-std::vector<MixedTypedExample> examples_float32_to_float16 = {
+std::vector<MixedTypedExample>& get_examples_float32_to_float16() {
+static std::vector<MixedTypedExample> examples_float32_to_float16 = {
// Begin of an example
{
.operands = {
@@ -203,8 +219,11 @@
},
}, // End of an example
};
+return examples_float32_to_float16;
+};
-std::vector<MixedTypedExample> examples_float32_to_float16_relaxed = {
+std::vector<MixedTypedExample>& get_examples_float32_to_float16_relaxed() {
+static std::vector<MixedTypedExample> examples_float32_to_float16_relaxed = {
// Begin of an example
{
.operands = {
@@ -237,8 +256,11 @@
},
}, // End of an example
};
+return examples_float32_to_float16_relaxed;
+};
-std::vector<MixedTypedExample> examples_float32_to_float32 = {
+std::vector<MixedTypedExample>& get_examples_float32_to_float32() {
+static std::vector<MixedTypedExample> examples_float32_to_float32 = {
// Begin of an example
{
.operands = {
@@ -271,8 +293,11 @@
},
}, // End of an example
};
+return examples_float32_to_float32;
+};
-std::vector<MixedTypedExample> examples_float32_to_float32_relaxed = {
+std::vector<MixedTypedExample>& get_examples_float32_to_float32_relaxed() {
+static std::vector<MixedTypedExample> examples_float32_to_float32_relaxed = {
// Begin of an example
{
.operands = {
@@ -305,8 +330,11 @@
},
}, // End of an example
};
+return examples_float32_to_float32_relaxed;
+};
-std::vector<MixedTypedExample> examples_float32_to_int32 = {
+std::vector<MixedTypedExample>& get_examples_float32_to_int32() {
+static std::vector<MixedTypedExample> examples_float32_to_int32 = {
// Begin of an example
{
.operands = {
@@ -339,8 +367,11 @@
},
}, // End of an example
};
+return examples_float32_to_int32;
+};
-std::vector<MixedTypedExample> examples_float32_to_int32_relaxed = {
+std::vector<MixedTypedExample>& get_examples_float32_to_int32_relaxed() {
+static std::vector<MixedTypedExample> examples_float32_to_int32_relaxed = {
// Begin of an example
{
.operands = {
@@ -373,8 +404,11 @@
},
}, // End of an example
};
+return examples_float32_to_int32_relaxed;
+};
-std::vector<MixedTypedExample> examples_float32_to_quant8 = {
+std::vector<MixedTypedExample>& get_examples_float32_to_quant8() {
+static std::vector<MixedTypedExample> examples_float32_to_quant8 = {
// Begin of an example
{
.operands = {
@@ -407,8 +441,11 @@
},
}, // End of an example
};
+return examples_float32_to_quant8;
+};
-std::vector<MixedTypedExample> examples_float32_to_quant8_relaxed = {
+std::vector<MixedTypedExample>& get_examples_float32_to_quant8_relaxed() {
+static std::vector<MixedTypedExample> examples_float32_to_quant8_relaxed = {
// Begin of an example
{
.operands = {
@@ -441,8 +478,11 @@
},
}, // End of an example
};
+return examples_float32_to_quant8_relaxed;
+};
-std::vector<MixedTypedExample> examples_int32_to_float16 = {
+std::vector<MixedTypedExample>& get_examples_int32_to_float16() {
+static std::vector<MixedTypedExample> examples_int32_to_float16 = {
// Begin of an example
{
.operands = {
@@ -475,8 +515,11 @@
},
}, // End of an example
};
+return examples_int32_to_float16;
+};
-std::vector<MixedTypedExample> examples_int32_to_float32 = {
+std::vector<MixedTypedExample>& get_examples_int32_to_float32() {
+static std::vector<MixedTypedExample> examples_int32_to_float32 = {
// Begin of an example
{
.operands = {
@@ -509,8 +552,11 @@
},
}, // End of an example
};
+return examples_int32_to_float32;
+};
-std::vector<MixedTypedExample> examples_int32_to_float32_relaxed = {
+std::vector<MixedTypedExample>& get_examples_int32_to_float32_relaxed() {
+static std::vector<MixedTypedExample> examples_int32_to_float32_relaxed = {
// Begin of an example
{
.operands = {
@@ -543,8 +589,11 @@
},
}, // End of an example
};
+return examples_int32_to_float32_relaxed;
+};
-std::vector<MixedTypedExample> examples_int32_to_int32 = {
+std::vector<MixedTypedExample>& get_examples_int32_to_int32() {
+static std::vector<MixedTypedExample> examples_int32_to_int32 = {
// Begin of an example
{
.operands = {
@@ -577,8 +626,11 @@
},
}, // End of an example
};
+return examples_int32_to_int32;
+};
-std::vector<MixedTypedExample> examples_int32_to_quant8 = {
+std::vector<MixedTypedExample>& get_examples_int32_to_quant8() {
+static std::vector<MixedTypedExample> examples_int32_to_quant8 = {
// Begin of an example
{
.operands = {
@@ -611,8 +663,11 @@
},
}, // End of an example
};
+return examples_int32_to_quant8;
+};
-std::vector<MixedTypedExample> examples_quant8_to_float16 = {
+std::vector<MixedTypedExample>& get_examples_quant8_to_float16() {
+static std::vector<MixedTypedExample> examples_quant8_to_float16 = {
// Begin of an example
{
.operands = {
@@ -645,8 +700,11 @@
},
}, // End of an example
};
+return examples_quant8_to_float16;
+};
-std::vector<MixedTypedExample> examples_quant8_to_float32 = {
+std::vector<MixedTypedExample>& get_examples_quant8_to_float32() {
+static std::vector<MixedTypedExample> examples_quant8_to_float32 = {
// Begin of an example
{
.operands = {
@@ -679,8 +737,11 @@
},
}, // End of an example
};
+return examples_quant8_to_float32;
+};
-std::vector<MixedTypedExample> examples_quant8_to_float32_relaxed = {
+std::vector<MixedTypedExample>& get_examples_quant8_to_float32_relaxed() {
+static std::vector<MixedTypedExample> examples_quant8_to_float32_relaxed = {
// Begin of an example
{
.operands = {
@@ -713,8 +774,11 @@
},
}, // End of an example
};
+return examples_quant8_to_float32_relaxed;
+};
-std::vector<MixedTypedExample> examples_quant8_to_int32 = {
+std::vector<MixedTypedExample>& get_examples_quant8_to_int32() {
+static std::vector<MixedTypedExample> examples_quant8_to_int32 = {
// Begin of an example
{
.operands = {
@@ -747,8 +811,11 @@
},
}, // End of an example
};
+return examples_quant8_to_int32;
+};
-std::vector<MixedTypedExample> examples_quant8_to_quant8 = {
+std::vector<MixedTypedExample>& get_examples_quant8_to_quant8() {
+static std::vector<MixedTypedExample> examples_quant8_to_quant8 = {
// Begin of an example
{
.operands = {
@@ -781,4 +848,6 @@
},
}, // End of an example
};
+return examples_quant8_to_quant8;
+};
diff --git a/nn/runtime/test/generated/examples/channel_shuffle.example.cpp b/nn/runtime/test/generated/examples/channel_shuffle.example.cpp
index d6d4d4e..3d31872 100644
--- a/nn/runtime/test/generated/examples/channel_shuffle.example.cpp
+++ b/nn/runtime/test/generated/examples/channel_shuffle.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: channel_shuffle.mod.py). Do not edit
-std::vector<MixedTypedExample> examples_dim4_axis0 = {
+std::vector<MixedTypedExample>& get_examples_dim4_axis0() {
+static std::vector<MixedTypedExample> examples_dim4_axis0 = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples_dim4_axis0;
+};
-std::vector<MixedTypedExample> examples_dim4_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_dim4_axis0_neg() {
+static std::vector<MixedTypedExample> examples_dim4_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,11 @@
},
}, // End of an example
};
+return examples_dim4_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_dim4_axis1 = {
+std::vector<MixedTypedExample>& get_examples_dim4_axis1() {
+static std::vector<MixedTypedExample> examples_dim4_axis1 = {
// Begin of an example
{
.operands = {
@@ -101,8 +108,11 @@
},
}, // End of an example
};
+return examples_dim4_axis1;
+};
-std::vector<MixedTypedExample> examples_dim4_axis1_neg = {
+std::vector<MixedTypedExample>& get_examples_dim4_axis1_neg() {
+static std::vector<MixedTypedExample> examples_dim4_axis1_neg = {
// Begin of an example
{
.operands = {
@@ -135,8 +145,11 @@
},
}, // End of an example
};
+return examples_dim4_axis1_neg;
+};
-std::vector<MixedTypedExample> examples_dim4_axis2 = {
+std::vector<MixedTypedExample>& get_examples_dim4_axis2() {
+static std::vector<MixedTypedExample> examples_dim4_axis2 = {
// Begin of an example
{
.operands = {
@@ -169,8 +182,11 @@
},
}, // End of an example
};
+return examples_dim4_axis2;
+};
-std::vector<MixedTypedExample> examples_dim4_axis2_neg = {
+std::vector<MixedTypedExample>& get_examples_dim4_axis2_neg() {
+static std::vector<MixedTypedExample> examples_dim4_axis2_neg = {
// Begin of an example
{
.operands = {
@@ -203,8 +219,11 @@
},
}, // End of an example
};
+return examples_dim4_axis2_neg;
+};
-std::vector<MixedTypedExample> examples_dim4_axis3 = {
+std::vector<MixedTypedExample>& get_examples_dim4_axis3() {
+static std::vector<MixedTypedExample> examples_dim4_axis3 = {
// Begin of an example
{
.operands = {
@@ -237,8 +256,11 @@
},
}, // End of an example
};
+return examples_dim4_axis3;
+};
-std::vector<MixedTypedExample> examples_dim4_axis3_neg = {
+std::vector<MixedTypedExample>& get_examples_dim4_axis3_neg() {
+static std::vector<MixedTypedExample> examples_dim4_axis3_neg = {
// Begin of an example
{
.operands = {
@@ -271,8 +293,11 @@
},
}, // End of an example
};
+return examples_dim4_axis3_neg;
+};
-std::vector<MixedTypedExample> examples_dim3_axis0 = {
+std::vector<MixedTypedExample>& get_examples_dim3_axis0() {
+static std::vector<MixedTypedExample> examples_dim3_axis0 = {
// Begin of an example
{
.operands = {
@@ -305,8 +330,11 @@
},
}, // End of an example
};
+return examples_dim3_axis0;
+};
-std::vector<MixedTypedExample> examples_dim3_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_dim3_axis0_neg() {
+static std::vector<MixedTypedExample> examples_dim3_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -339,8 +367,11 @@
},
}, // End of an example
};
+return examples_dim3_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_dim3_axis1 = {
+std::vector<MixedTypedExample>& get_examples_dim3_axis1() {
+static std::vector<MixedTypedExample> examples_dim3_axis1 = {
// Begin of an example
{
.operands = {
@@ -373,8 +404,11 @@
},
}, // End of an example
};
+return examples_dim3_axis1;
+};
-std::vector<MixedTypedExample> examples_dim3_axis1_neg = {
+std::vector<MixedTypedExample>& get_examples_dim3_axis1_neg() {
+static std::vector<MixedTypedExample> examples_dim3_axis1_neg = {
// Begin of an example
{
.operands = {
@@ -407,8 +441,11 @@
},
}, // End of an example
};
+return examples_dim3_axis1_neg;
+};
-std::vector<MixedTypedExample> examples_dim3_axis2 = {
+std::vector<MixedTypedExample>& get_examples_dim3_axis2() {
+static std::vector<MixedTypedExample> examples_dim3_axis2 = {
// Begin of an example
{
.operands = {
@@ -441,8 +478,11 @@
},
}, // End of an example
};
+return examples_dim3_axis2;
+};
-std::vector<MixedTypedExample> examples_dim3_axis2_neg = {
+std::vector<MixedTypedExample>& get_examples_dim3_axis2_neg() {
+static std::vector<MixedTypedExample> examples_dim3_axis2_neg = {
// Begin of an example
{
.operands = {
@@ -475,8 +515,11 @@
},
}, // End of an example
};
+return examples_dim3_axis2_neg;
+};
-std::vector<MixedTypedExample> examples_dim2_axis0 = {
+std::vector<MixedTypedExample>& get_examples_dim2_axis0() {
+static std::vector<MixedTypedExample> examples_dim2_axis0 = {
// Begin of an example
{
.operands = {
@@ -509,8 +552,11 @@
},
}, // End of an example
};
+return examples_dim2_axis0;
+};
-std::vector<MixedTypedExample> examples_dim2_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_dim2_axis0_neg() {
+static std::vector<MixedTypedExample> examples_dim2_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -543,8 +589,11 @@
},
}, // End of an example
};
+return examples_dim2_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_dim2_axis1 = {
+std::vector<MixedTypedExample>& get_examples_dim2_axis1() {
+static std::vector<MixedTypedExample> examples_dim2_axis1 = {
// Begin of an example
{
.operands = {
@@ -577,8 +626,11 @@
},
}, // End of an example
};
+return examples_dim2_axis1;
+};
-std::vector<MixedTypedExample> examples_dim2_axis1_neg = {
+std::vector<MixedTypedExample>& get_examples_dim2_axis1_neg() {
+static std::vector<MixedTypedExample> examples_dim2_axis1_neg = {
// Begin of an example
{
.operands = {
@@ -611,8 +663,11 @@
},
}, // End of an example
};
+return examples_dim2_axis1_neg;
+};
-std::vector<MixedTypedExample> examples_dim1_axis0 = {
+std::vector<MixedTypedExample>& get_examples_dim1_axis0() {
+static std::vector<MixedTypedExample> examples_dim1_axis0 = {
// Begin of an example
{
.operands = {
@@ -645,8 +700,11 @@
},
}, // End of an example
};
+return examples_dim1_axis0;
+};
-std::vector<MixedTypedExample> examples_dim1_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_dim1_axis0_neg() {
+static std::vector<MixedTypedExample> examples_dim1_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -679,8 +737,11 @@
},
}, // End of an example
};
+return examples_dim1_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_relaxed_dim4_axis0 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_dim4_axis0() {
+static std::vector<MixedTypedExample> examples_relaxed_dim4_axis0 = {
// Begin of an example
{
.operands = {
@@ -713,8 +774,11 @@
},
}, // End of an example
};
+return examples_relaxed_dim4_axis0;
+};
-std::vector<MixedTypedExample> examples_relaxed_dim4_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_relaxed_dim4_axis0_neg() {
+static std::vector<MixedTypedExample> examples_relaxed_dim4_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -747,8 +811,11 @@
},
}, // End of an example
};
+return examples_relaxed_dim4_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_relaxed_dim4_axis1 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_dim4_axis1() {
+static std::vector<MixedTypedExample> examples_relaxed_dim4_axis1 = {
// Begin of an example
{
.operands = {
@@ -781,8 +848,11 @@
},
}, // End of an example
};
+return examples_relaxed_dim4_axis1;
+};
-std::vector<MixedTypedExample> examples_relaxed_dim4_axis1_neg = {
+std::vector<MixedTypedExample>& get_examples_relaxed_dim4_axis1_neg() {
+static std::vector<MixedTypedExample> examples_relaxed_dim4_axis1_neg = {
// Begin of an example
{
.operands = {
@@ -815,8 +885,11 @@
},
}, // End of an example
};
+return examples_relaxed_dim4_axis1_neg;
+};
-std::vector<MixedTypedExample> examples_relaxed_dim4_axis2 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_dim4_axis2() {
+static std::vector<MixedTypedExample> examples_relaxed_dim4_axis2 = {
// Begin of an example
{
.operands = {
@@ -849,8 +922,11 @@
},
}, // End of an example
};
+return examples_relaxed_dim4_axis2;
+};
-std::vector<MixedTypedExample> examples_relaxed_dim4_axis2_neg = {
+std::vector<MixedTypedExample>& get_examples_relaxed_dim4_axis2_neg() {
+static std::vector<MixedTypedExample> examples_relaxed_dim4_axis2_neg = {
// Begin of an example
{
.operands = {
@@ -883,8 +959,11 @@
},
}, // End of an example
};
+return examples_relaxed_dim4_axis2_neg;
+};
-std::vector<MixedTypedExample> examples_relaxed_dim4_axis3 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_dim4_axis3() {
+static std::vector<MixedTypedExample> examples_relaxed_dim4_axis3 = {
// Begin of an example
{
.operands = {
@@ -917,8 +996,11 @@
},
}, // End of an example
};
+return examples_relaxed_dim4_axis3;
+};
-std::vector<MixedTypedExample> examples_relaxed_dim4_axis3_neg = {
+std::vector<MixedTypedExample>& get_examples_relaxed_dim4_axis3_neg() {
+static std::vector<MixedTypedExample> examples_relaxed_dim4_axis3_neg = {
// Begin of an example
{
.operands = {
@@ -951,8 +1033,11 @@
},
}, // End of an example
};
+return examples_relaxed_dim4_axis3_neg;
+};
-std::vector<MixedTypedExample> examples_relaxed_dim3_axis0 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_dim3_axis0() {
+static std::vector<MixedTypedExample> examples_relaxed_dim3_axis0 = {
// Begin of an example
{
.operands = {
@@ -985,8 +1070,11 @@
},
}, // End of an example
};
+return examples_relaxed_dim3_axis0;
+};
-std::vector<MixedTypedExample> examples_relaxed_dim3_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_relaxed_dim3_axis0_neg() {
+static std::vector<MixedTypedExample> examples_relaxed_dim3_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -1019,8 +1107,11 @@
},
}, // End of an example
};
+return examples_relaxed_dim3_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_relaxed_dim3_axis1 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_dim3_axis1() {
+static std::vector<MixedTypedExample> examples_relaxed_dim3_axis1 = {
// Begin of an example
{
.operands = {
@@ -1053,8 +1144,11 @@
},
}, // End of an example
};
+return examples_relaxed_dim3_axis1;
+};
-std::vector<MixedTypedExample> examples_relaxed_dim3_axis1_neg = {
+std::vector<MixedTypedExample>& get_examples_relaxed_dim3_axis1_neg() {
+static std::vector<MixedTypedExample> examples_relaxed_dim3_axis1_neg = {
// Begin of an example
{
.operands = {
@@ -1087,8 +1181,11 @@
},
}, // End of an example
};
+return examples_relaxed_dim3_axis1_neg;
+};
-std::vector<MixedTypedExample> examples_relaxed_dim3_axis2 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_dim3_axis2() {
+static std::vector<MixedTypedExample> examples_relaxed_dim3_axis2 = {
// Begin of an example
{
.operands = {
@@ -1121,8 +1218,11 @@
},
}, // End of an example
};
+return examples_relaxed_dim3_axis2;
+};
-std::vector<MixedTypedExample> examples_relaxed_dim3_axis2_neg = {
+std::vector<MixedTypedExample>& get_examples_relaxed_dim3_axis2_neg() {
+static std::vector<MixedTypedExample> examples_relaxed_dim3_axis2_neg = {
// Begin of an example
{
.operands = {
@@ -1155,8 +1255,11 @@
},
}, // End of an example
};
+return examples_relaxed_dim3_axis2_neg;
+};
-std::vector<MixedTypedExample> examples_relaxed_dim2_axis0 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_dim2_axis0() {
+static std::vector<MixedTypedExample> examples_relaxed_dim2_axis0 = {
// Begin of an example
{
.operands = {
@@ -1189,8 +1292,11 @@
},
}, // End of an example
};
+return examples_relaxed_dim2_axis0;
+};
-std::vector<MixedTypedExample> examples_relaxed_dim2_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_relaxed_dim2_axis0_neg() {
+static std::vector<MixedTypedExample> examples_relaxed_dim2_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -1223,8 +1329,11 @@
},
}, // End of an example
};
+return examples_relaxed_dim2_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_relaxed_dim2_axis1 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_dim2_axis1() {
+static std::vector<MixedTypedExample> examples_relaxed_dim2_axis1 = {
// Begin of an example
{
.operands = {
@@ -1257,8 +1366,11 @@
},
}, // End of an example
};
+return examples_relaxed_dim2_axis1;
+};
-std::vector<MixedTypedExample> examples_relaxed_dim2_axis1_neg = {
+std::vector<MixedTypedExample>& get_examples_relaxed_dim2_axis1_neg() {
+static std::vector<MixedTypedExample> examples_relaxed_dim2_axis1_neg = {
// Begin of an example
{
.operands = {
@@ -1291,8 +1403,11 @@
},
}, // End of an example
};
+return examples_relaxed_dim2_axis1_neg;
+};
-std::vector<MixedTypedExample> examples_relaxed_dim1_axis0 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_dim1_axis0() {
+static std::vector<MixedTypedExample> examples_relaxed_dim1_axis0 = {
// Begin of an example
{
.operands = {
@@ -1325,8 +1440,11 @@
},
}, // End of an example
};
+return examples_relaxed_dim1_axis0;
+};
-std::vector<MixedTypedExample> examples_relaxed_dim1_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_relaxed_dim1_axis0_neg() {
+static std::vector<MixedTypedExample> examples_relaxed_dim1_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -1359,8 +1477,11 @@
},
}, // End of an example
};
+return examples_relaxed_dim1_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_quant8_dim4_axis0 = {
+std::vector<MixedTypedExample>& get_examples_quant8_dim4_axis0() {
+static std::vector<MixedTypedExample> examples_quant8_dim4_axis0 = {
// Begin of an example
{
.operands = {
@@ -1393,8 +1514,11 @@
},
}, // End of an example
};
+return examples_quant8_dim4_axis0;
+};
-std::vector<MixedTypedExample> examples_quant8_dim4_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_quant8_dim4_axis0_neg() {
+static std::vector<MixedTypedExample> examples_quant8_dim4_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -1427,8 +1551,11 @@
},
}, // End of an example
};
+return examples_quant8_dim4_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_quant8_dim4_axis1 = {
+std::vector<MixedTypedExample>& get_examples_quant8_dim4_axis1() {
+static std::vector<MixedTypedExample> examples_quant8_dim4_axis1 = {
// Begin of an example
{
.operands = {
@@ -1461,8 +1588,11 @@
},
}, // End of an example
};
+return examples_quant8_dim4_axis1;
+};
-std::vector<MixedTypedExample> examples_quant8_dim4_axis1_neg = {
+std::vector<MixedTypedExample>& get_examples_quant8_dim4_axis1_neg() {
+static std::vector<MixedTypedExample> examples_quant8_dim4_axis1_neg = {
// Begin of an example
{
.operands = {
@@ -1495,8 +1625,11 @@
},
}, // End of an example
};
+return examples_quant8_dim4_axis1_neg;
+};
-std::vector<MixedTypedExample> examples_quant8_dim4_axis2 = {
+std::vector<MixedTypedExample>& get_examples_quant8_dim4_axis2() {
+static std::vector<MixedTypedExample> examples_quant8_dim4_axis2 = {
// Begin of an example
{
.operands = {
@@ -1529,8 +1662,11 @@
},
}, // End of an example
};
+return examples_quant8_dim4_axis2;
+};
-std::vector<MixedTypedExample> examples_quant8_dim4_axis2_neg = {
+std::vector<MixedTypedExample>& get_examples_quant8_dim4_axis2_neg() {
+static std::vector<MixedTypedExample> examples_quant8_dim4_axis2_neg = {
// Begin of an example
{
.operands = {
@@ -1563,8 +1699,11 @@
},
}, // End of an example
};
+return examples_quant8_dim4_axis2_neg;
+};
-std::vector<MixedTypedExample> examples_quant8_dim4_axis3 = {
+std::vector<MixedTypedExample>& get_examples_quant8_dim4_axis3() {
+static std::vector<MixedTypedExample> examples_quant8_dim4_axis3 = {
// Begin of an example
{
.operands = {
@@ -1597,8 +1736,11 @@
},
}, // End of an example
};
+return examples_quant8_dim4_axis3;
+};
-std::vector<MixedTypedExample> examples_quant8_dim4_axis3_neg = {
+std::vector<MixedTypedExample>& get_examples_quant8_dim4_axis3_neg() {
+static std::vector<MixedTypedExample> examples_quant8_dim4_axis3_neg = {
// Begin of an example
{
.operands = {
@@ -1631,8 +1773,11 @@
},
}, // End of an example
};
+return examples_quant8_dim4_axis3_neg;
+};
-std::vector<MixedTypedExample> examples_quant8_dim3_axis0 = {
+std::vector<MixedTypedExample>& get_examples_quant8_dim3_axis0() {
+static std::vector<MixedTypedExample> examples_quant8_dim3_axis0 = {
// Begin of an example
{
.operands = {
@@ -1665,8 +1810,11 @@
},
}, // End of an example
};
+return examples_quant8_dim3_axis0;
+};
-std::vector<MixedTypedExample> examples_quant8_dim3_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_quant8_dim3_axis0_neg() {
+static std::vector<MixedTypedExample> examples_quant8_dim3_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -1699,8 +1847,11 @@
},
}, // End of an example
};
+return examples_quant8_dim3_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_quant8_dim3_axis1 = {
+std::vector<MixedTypedExample>& get_examples_quant8_dim3_axis1() {
+static std::vector<MixedTypedExample> examples_quant8_dim3_axis1 = {
// Begin of an example
{
.operands = {
@@ -1733,8 +1884,11 @@
},
}, // End of an example
};
+return examples_quant8_dim3_axis1;
+};
-std::vector<MixedTypedExample> examples_quant8_dim3_axis1_neg = {
+std::vector<MixedTypedExample>& get_examples_quant8_dim3_axis1_neg() {
+static std::vector<MixedTypedExample> examples_quant8_dim3_axis1_neg = {
// Begin of an example
{
.operands = {
@@ -1767,8 +1921,11 @@
},
}, // End of an example
};
+return examples_quant8_dim3_axis1_neg;
+};
-std::vector<MixedTypedExample> examples_quant8_dim3_axis2 = {
+std::vector<MixedTypedExample>& get_examples_quant8_dim3_axis2() {
+static std::vector<MixedTypedExample> examples_quant8_dim3_axis2 = {
// Begin of an example
{
.operands = {
@@ -1801,8 +1958,11 @@
},
}, // End of an example
};
+return examples_quant8_dim3_axis2;
+};
-std::vector<MixedTypedExample> examples_quant8_dim3_axis2_neg = {
+std::vector<MixedTypedExample>& get_examples_quant8_dim3_axis2_neg() {
+static std::vector<MixedTypedExample> examples_quant8_dim3_axis2_neg = {
// Begin of an example
{
.operands = {
@@ -1835,8 +1995,11 @@
},
}, // End of an example
};
+return examples_quant8_dim3_axis2_neg;
+};
-std::vector<MixedTypedExample> examples_quant8_dim2_axis0 = {
+std::vector<MixedTypedExample>& get_examples_quant8_dim2_axis0() {
+static std::vector<MixedTypedExample> examples_quant8_dim2_axis0 = {
// Begin of an example
{
.operands = {
@@ -1869,8 +2032,11 @@
},
}, // End of an example
};
+return examples_quant8_dim2_axis0;
+};
-std::vector<MixedTypedExample> examples_quant8_dim2_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_quant8_dim2_axis0_neg() {
+static std::vector<MixedTypedExample> examples_quant8_dim2_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -1903,8 +2069,11 @@
},
}, // End of an example
};
+return examples_quant8_dim2_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_quant8_dim2_axis1 = {
+std::vector<MixedTypedExample>& get_examples_quant8_dim2_axis1() {
+static std::vector<MixedTypedExample> examples_quant8_dim2_axis1 = {
// Begin of an example
{
.operands = {
@@ -1937,8 +2106,11 @@
},
}, // End of an example
};
+return examples_quant8_dim2_axis1;
+};
-std::vector<MixedTypedExample> examples_quant8_dim2_axis1_neg = {
+std::vector<MixedTypedExample>& get_examples_quant8_dim2_axis1_neg() {
+static std::vector<MixedTypedExample> examples_quant8_dim2_axis1_neg = {
// Begin of an example
{
.operands = {
@@ -1971,8 +2143,11 @@
},
}, // End of an example
};
+return examples_quant8_dim2_axis1_neg;
+};
-std::vector<MixedTypedExample> examples_quant8_dim1_axis0 = {
+std::vector<MixedTypedExample>& get_examples_quant8_dim1_axis0() {
+static std::vector<MixedTypedExample> examples_quant8_dim1_axis0 = {
// Begin of an example
{
.operands = {
@@ -2005,8 +2180,11 @@
},
}, // End of an example
};
+return examples_quant8_dim1_axis0;
+};
-std::vector<MixedTypedExample> examples_quant8_dim1_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_quant8_dim1_axis0_neg() {
+static std::vector<MixedTypedExample> examples_quant8_dim1_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -2039,4 +2217,6 @@
},
}, // End of an example
};
+return examples_quant8_dim1_axis0_neg;
+};
diff --git a/nn/runtime/test/generated/examples/concat_float16_1.example.cpp b/nn/runtime/test/generated/examples/concat_float16_1.example.cpp
index eab9fae..447e6fa 100644
--- a/nn/runtime/test/generated/examples/concat_float16_1.example.cpp
+++ b/nn/runtime/test/generated/examples/concat_float16_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: concat_float16_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -12,7 +13,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}}, {1, {7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f}}},
@@ -25,7 +26,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f}}},
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/concat_float16_2.example.cpp b/nn/runtime/test/generated/examples/concat_float16_2.example.cpp
index 212f075..9458a28 100644
--- a/nn/runtime/test/generated/examples/concat_float16_2.example.cpp
+++ b/nn/runtime/test/generated/examples/concat_float16_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: concat_float16_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -12,7 +13,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f, 25.0f, 26.0f, 27.0f, 28.0f, 29.0f, 30.0f, 31.0f, 32.0f, 33.0f, 34.0f, 35.0f, 36.0f, 37.0f, 38.0f, 39.0f, 40.0f, 41.0f, 42.0f, 43.0f, 44.0f, 45.0f, 46.0f, 47.0f, 48.0f, 49.0f, 50.0f, 51.0f, 52.0f, 53.0f, 54.0f, 55.0f, 56.0f, 57.0f, 58.0f, 59.0f, 60.0f, 61.0f, 62.0f, 63.0f, 64.0f, 65.0f, 66.0f, 67.0f, 68.0f, 69.0f, 70.0f, 71.0f, 72.0f, 73.0f, 74.0f, 75.0f, 76.0f, 77.0f, 78.0f, 79.0f, 80.0f, 81.0f, 82.0f, 83.0f, 84.0f, 85.0f, 86.0f, 87.0f, 88.0f, 89.0f, 90.0f, 91.0f, 92.0f, 93.0f, 94.0f, 95.0f, 96.0f, 97.0f, 98.0f, 99.0f, 100.0f, 101.0f, 102.0f, 103.0f, 104.0f, 105.0f, 106.0f, 107.0f, 108.0f, 109.0f, 110.0f, 111.0f, 112.0f, 113.0f, 114.0f, 115.0f, 116.0f, 117.0f, 118.0f, 119.0f, 120.0f, 121.0f, 122.0f, 123.0f, 124.0f, 125.0f, 126.0f, 127.0f, 128.0f, 129.0f, 130.0f, 131.0f, 132.0f, 133.0f, 134.0f, 135.0f, 136.0f, 137.0f, 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@@ -25,7 +26,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
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@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/concat_float16_3.example.cpp b/nn/runtime/test/generated/examples/concat_float16_3.example.cpp
index b4476c8..651079b 100644
--- a/nn/runtime/test/generated/examples/concat_float16_3.example.cpp
+++ b/nn/runtime/test/generated/examples/concat_float16_3.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: concat_float16_3.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -12,7 +13,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
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@@ -25,7 +26,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
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12598.0f, 12599.0f, -6270.0f, -6271.0f, -6272.0f, -6273.0f, -6274.0f, -6275.0f, -6276.0f, -6277.0f, -6278.0f, -6279.0f, -6280.0f, -6281.0f, -6282.0f, -6283.0f, -6284.0f, -6285.0f, -6286.0f, -6287.0f, -6288.0f, -6289.0f, -6290.0f, -6291.0f, -6292.0f, -6293.0f, -6294.0f, -6295.0f, -6296.0f, -6297.0f, -6298.0f, -6299.0f, 12600.0f, 12601.0f, 12602.0f, 12603.0f, 12604.0f, 12605.0f, 12606.0f, 12607.0f, 12608.0f, 12609.0f, 12610.0f, 12611.0f, 12612.0f, 12613.0f, 12614.0f, 12615.0f, 12616.0f, 12617.0f, 12618.0f, 12619.0f, 12620.0f, 12621.0f, 12622.0f, 12623.0f, 12624.0f, 12625.0f, 12626.0f, 12627.0f, 12628.0f, 12629.0f, 12630.0f, 12631.0f, 12632.0f, 12633.0f, 12634.0f, 12635.0f, 12636.0f, 12637.0f, 12638.0f, 12639.0f, 12640.0f, 12641.0f, 12642.0f, 12643.0f, 12644.0f, 12645.0f, 12646.0f, 12647.0f, 12648.0f, 12649.0f, 12650.0f, 12651.0f, 12652.0f, 12653.0f, 12654.0f, 12655.0f, 12656.0f, 12657.0f, 12658.0f, 12659.0f, -6300.0f, -6301.0f, -6302.0f, -6303.0f, -6304.0f, -6305.0f, -6306.0f, -6307.0f, -6308.0f, -6309.0f, -6310.0f, -6311.0f, -6312.0f, -6313.0f, -6314.0f, -6315.0f, -6316.0f, -6317.0f, -6318.0f, -6319.0f, -6320.0f, -6321.0f, -6322.0f, -6323.0f, -6324.0f, -6325.0f, -6326.0f, -6327.0f, -6328.0f, -6329.0f, 12660.0f, 12661.0f, 12662.0f, 12663.0f, 12664.0f, 12665.0f, 12666.0f, 12667.0f, 12668.0f, 12669.0f, 12670.0f, 12671.0f, 12672.0f, 12673.0f, 12674.0f, 12675.0f, 12676.0f, 12677.0f, 12678.0f, 12679.0f, 12680.0f, 12681.0f, 12682.0f, 12683.0f, 12684.0f, 12685.0f, 12686.0f, 12687.0f, 12688.0f, 12689.0f, 12690.0f, 12691.0f, 12692.0f, 12693.0f, 12694.0f, 12695.0f, 12696.0f, 12697.0f, 12698.0f, 12699.0f, 12700.0f, 12701.0f, 12702.0f, 12703.0f, 12704.0f, 12705.0f, 12706.0f, 12707.0f, 12708.0f, 12709.0f, 12710.0f, 12711.0f, 12712.0f, 12713.0f, 12714.0f, 12715.0f, 12716.0f, 12717.0f, 12718.0f, 12719.0f, -6330.0f, -6331.0f, -6332.0f, -6333.0f, -6334.0f, -6335.0f, -6336.0f, -6337.0f, -6338.0f, -6339.0f, -6340.0f, -6341.0f, -6342.0f, -6343.0f, -6344.0f, -6345.0f, -6346.0f, -6347.0f, -6348.0f, -6349.0f, -6350.0f, -6351.0f, -6352.0f, -6353.0f, -6354.0f, -6355.0f, -6356.0f, -6357.0f, -6358.0f, -6359.0f}}},
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/concat_float_1.example.cpp b/nn/runtime/test/generated/examples/concat_float_1.example.cpp
index 0f339fe..22feb3b 100644
--- a/nn/runtime/test/generated/examples/concat_float_1.example.cpp
+++ b/nn/runtime/test/generated/examples/concat_float_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: concat_float_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/concat_float_1_relaxed.example.cpp b/nn/runtime/test/generated/examples/concat_float_1_relaxed.example.cpp
index 81702e0..ffb90b3 100644
--- a/nn/runtime/test/generated/examples/concat_float_1_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/concat_float_1_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: concat_float_1_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/concat_float_2.example.cpp b/nn/runtime/test/generated/examples/concat_float_2.example.cpp
index e7c801c..9772951 100644
--- a/nn/runtime/test/generated/examples/concat_float_2.example.cpp
+++ b/nn/runtime/test/generated/examples/concat_float_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: concat_float_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/concat_float_2_relaxed.example.cpp b/nn/runtime/test/generated/examples/concat_float_2_relaxed.example.cpp
index f8bd8fd..aaa3139 100644
--- a/nn/runtime/test/generated/examples/concat_float_2_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/concat_float_2_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: concat_float_2_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/concat_float_3.example.cpp b/nn/runtime/test/generated/examples/concat_float_3.example.cpp
index 721ff3e..338ee05 100644
--- a/nn/runtime/test/generated/examples/concat_float_3.example.cpp
+++ b/nn/runtime/test/generated/examples/concat_float_3.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: concat_float_3.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/concat_float_3_relaxed.example.cpp b/nn/runtime/test/generated/examples/concat_float_3_relaxed.example.cpp
index f546615..c24d50c 100644
--- a/nn/runtime/test/generated/examples/concat_float_3_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/concat_float_3_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: concat_float_3_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/concat_mixed_quant.example.cpp b/nn/runtime/test/generated/examples/concat_mixed_quant.example.cpp
new file mode 100644
index 0000000..529828d
--- /dev/null
+++ b/nn/runtime/test/generated/examples/concat_mixed_quant.example.cpp
@@ -0,0 +1,76 @@
+// clang-format off
+// Generated file (from: concat_mixed_quant.mod.py). Do not edit
+std::vector<MixedTypedExample>& get_examples_quant8() {
+static std::vector<MixedTypedExample> examples_quant8 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {{0, {139, 91, 79, 44}}, {1, {22, 62, 82, 142}}, {2, {136, 87, 76, 204}}, {3, {45, 114, 148, 252}}},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {{0, {137, 97, 138, 158, 139, 95, 140, 160, 87, 57, 168, 198, 85, 199, 170, 200}}},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_quant8;
+};
+
+std::vector<MixedTypedExample>& get_examples_quant8_2() {
+static std::vector<MixedTypedExample> examples_quant8_2 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {{0, {139, 91, 79, 44}}, {1, {22, 62, 82, 142}}, {2, {136, 87, 76, 204}}, {3, {45, 114, 148, 252}}},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {{0, {255, 0, 255, 255, 255, 0, 255, 255, 0, 0, 255, 255, 0, 255, 255, 255}}},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_quant8_2;
+};
+
diff --git a/nn/runtime/test/generated/examples/concat_quant8_1.example.cpp b/nn/runtime/test/generated/examples/concat_quant8_1.example.cpp
index 145f6b1..a0a064d 100644
--- a/nn/runtime/test/generated/examples/concat_quant8_1.example.cpp
+++ b/nn/runtime/test/generated/examples/concat_quant8_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: concat_quant8_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/concat_quant8_2.example.cpp b/nn/runtime/test/generated/examples/concat_quant8_2.example.cpp
index fe8c84a..6fb37b3 100644
--- a/nn/runtime/test/generated/examples/concat_quant8_2.example.cpp
+++ b/nn/runtime/test/generated/examples/concat_quant8_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: concat_quant8_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/concat_quant8_3.example.cpp b/nn/runtime/test/generated/examples/concat_quant8_3.example.cpp
index c6c4c6c..317d204 100644
--- a/nn/runtime/test/generated/examples/concat_quant8_3.example.cpp
+++ b/nn/runtime/test/generated/examples/concat_quant8_3.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: concat_quant8_3.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/conv2d_v1_2.example.cpp b/nn/runtime/test/generated/examples/conv2d_v1_2.example.cpp
index c4fbc1e..d6d67ab 100644
--- a/nn/runtime/test/generated/examples/conv2d_v1_2.example.cpp
+++ b/nn/runtime/test/generated/examples/conv2d_v1_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: conv2d_v1_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples_nhwc = {
+std::vector<MixedTypedExample>& get_examples_nhwc() {
+static std::vector<MixedTypedExample> examples_nhwc = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples_nhwc;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,11 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed;
+};
-std::vector<MixedTypedExample> examples_nhwc_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8 = {
// Begin of an example
{
.operands = {
@@ -101,8 +108,11 @@
},
}, // End of an example
};
+return examples_nhwc_quant8;
+};
-std::vector<MixedTypedExample> examples_nhwc_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nhwc_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nhwc_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -135,8 +145,11 @@
},
}, // End of an example
};
+return examples_nhwc_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nhwc_weight_as_input_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nhwc_weight_as_input_relaxed() {
+static std::vector<MixedTypedExample> examples_nhwc_weight_as_input_relaxed = {
// Begin of an example
{
.operands = {
@@ -169,8 +182,11 @@
},
}, // End of an example
};
+return examples_nhwc_weight_as_input_relaxed;
+};
-std::vector<MixedTypedExample> examples_nhwc_weight_as_input_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_weight_as_input_quant8() {
+static std::vector<MixedTypedExample> examples_nhwc_weight_as_input_quant8 = {
// Begin of an example
{
.operands = {
@@ -203,8 +219,11 @@
},
}, // End of an example
};
+return examples_nhwc_weight_as_input_quant8;
+};
-std::vector<MixedTypedExample> examples_nchw = {
+std::vector<MixedTypedExample>& get_examples_nchw() {
+static std::vector<MixedTypedExample> examples_nchw = {
// Begin of an example
{
.operands = {
@@ -237,8 +256,11 @@
},
}, // End of an example
};
+return examples_nchw;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed = {
// Begin of an example
{
.operands = {
@@ -271,8 +293,11 @@
},
}, // End of an example
};
+return examples_nchw_relaxed;
+};
-std::vector<MixedTypedExample> examples_nchw_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nchw_quant8() {
+static std::vector<MixedTypedExample> examples_nchw_quant8 = {
// Begin of an example
{
.operands = {
@@ -305,8 +330,11 @@
},
}, // End of an example
};
+return examples_nchw_quant8;
+};
-std::vector<MixedTypedExample> examples_nchw_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nchw_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nchw_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -339,8 +367,11 @@
},
}, // End of an example
};
+return examples_nchw_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nchw_weight_as_input_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nchw_weight_as_input_relaxed() {
+static std::vector<MixedTypedExample> examples_nchw_weight_as_input_relaxed = {
// Begin of an example
{
.operands = {
@@ -373,8 +404,11 @@
},
}, // End of an example
};
+return examples_nchw_weight_as_input_relaxed;
+};
-std::vector<MixedTypedExample> examples_nchw_weight_as_input_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nchw_weight_as_input_quant8() {
+static std::vector<MixedTypedExample> examples_nchw_weight_as_input_quant8 = {
// Begin of an example
{
.operands = {
@@ -407,8 +441,11 @@
},
}, // End of an example
};
+return examples_nchw_weight_as_input_quant8;
+};
-std::vector<MixedTypedExample> examples_nhwc_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_2() {
+static std::vector<MixedTypedExample> examples_nhwc_2 = {
// Begin of an example
{
.operands = {
@@ -441,8 +478,11 @@
},
}, // End of an example
};
+return examples_nhwc_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed_2() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -475,8 +515,11 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_quant8_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8_2() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8_2 = {
// Begin of an example
{
.operands = {
@@ -509,8 +552,11 @@
},
}, // End of an example
};
+return examples_nhwc_quant8_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_weight_as_input_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_weight_as_input_2() {
+static std::vector<MixedTypedExample> examples_nhwc_weight_as_input_2 = {
// Begin of an example
{
.operands = {
@@ -543,8 +589,11 @@
},
}, // End of an example
};
+return examples_nhwc_weight_as_input_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_weight_as_input_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_weight_as_input_relaxed_2() {
+static std::vector<MixedTypedExample> examples_nhwc_weight_as_input_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -577,8 +626,11 @@
},
}, // End of an example
};
+return examples_nhwc_weight_as_input_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_weight_as_input_quant8_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_weight_as_input_quant8_2() {
+static std::vector<MixedTypedExample> examples_nhwc_weight_as_input_quant8_2 = {
// Begin of an example
{
.operands = {
@@ -611,8 +663,11 @@
},
}, // End of an example
};
+return examples_nhwc_weight_as_input_quant8_2;
+};
-std::vector<MixedTypedExample> examples_nchw_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_2() {
+static std::vector<MixedTypedExample> examples_nchw_2 = {
// Begin of an example
{
.operands = {
@@ -645,8 +700,11 @@
},
}, // End of an example
};
+return examples_nchw_2;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed_2() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -679,8 +737,11 @@
},
}, // End of an example
};
+return examples_nchw_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_nchw_quant8_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_quant8_2() {
+static std::vector<MixedTypedExample> examples_nchw_quant8_2 = {
// Begin of an example
{
.operands = {
@@ -713,8 +774,11 @@
},
}, // End of an example
};
+return examples_nchw_quant8_2;
+};
-std::vector<MixedTypedExample> examples_nchw_weight_as_input_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_weight_as_input_2() {
+static std::vector<MixedTypedExample> examples_nchw_weight_as_input_2 = {
// Begin of an example
{
.operands = {
@@ -747,8 +811,11 @@
},
}, // End of an example
};
+return examples_nchw_weight_as_input_2;
+};
-std::vector<MixedTypedExample> examples_nchw_weight_as_input_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_weight_as_input_relaxed_2() {
+static std::vector<MixedTypedExample> examples_nchw_weight_as_input_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -781,8 +848,11 @@
},
}, // End of an example
};
+return examples_nchw_weight_as_input_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_nchw_weight_as_input_quant8_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_weight_as_input_quant8_2() {
+static std::vector<MixedTypedExample> examples_nchw_weight_as_input_quant8_2 = {
// Begin of an example
{
.operands = {
@@ -815,8 +885,11 @@
},
}, // End of an example
};
+return examples_nchw_weight_as_input_quant8_2;
+};
-std::vector<MixedTypedExample> examples_channel_nhwc = {
+std::vector<MixedTypedExample>& get_examples_channel_nhwc() {
+static std::vector<MixedTypedExample> examples_channel_nhwc = {
// Begin of an example
{
.operands = {
@@ -849,8 +922,11 @@
},
}, // End of an example
};
+return examples_channel_nhwc;
+};
-std::vector<MixedTypedExample> examples_channel_nhwc_relaxed = {
+std::vector<MixedTypedExample>& get_examples_channel_nhwc_relaxed() {
+static std::vector<MixedTypedExample> examples_channel_nhwc_relaxed = {
// Begin of an example
{
.operands = {
@@ -883,8 +959,11 @@
},
}, // End of an example
};
+return examples_channel_nhwc_relaxed;
+};
-std::vector<MixedTypedExample> examples_channel_nhwc_quant8 = {
+std::vector<MixedTypedExample>& get_examples_channel_nhwc_quant8() {
+static std::vector<MixedTypedExample> examples_channel_nhwc_quant8 = {
// Begin of an example
{
.operands = {
@@ -917,8 +996,11 @@
},
}, // End of an example
};
+return examples_channel_nhwc_quant8;
+};
-std::vector<MixedTypedExample> examples_channel_nhwc_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_channel_nhwc_weight_as_input() {
+static std::vector<MixedTypedExample> examples_channel_nhwc_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -951,8 +1033,11 @@
},
}, // End of an example
};
+return examples_channel_nhwc_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_channel_nhwc_weight_as_input_relaxed = {
+std::vector<MixedTypedExample>& get_examples_channel_nhwc_weight_as_input_relaxed() {
+static std::vector<MixedTypedExample> examples_channel_nhwc_weight_as_input_relaxed = {
// Begin of an example
{
.operands = {
@@ -985,8 +1070,11 @@
},
}, // End of an example
};
+return examples_channel_nhwc_weight_as_input_relaxed;
+};
-std::vector<MixedTypedExample> examples_channel_nhwc_weight_as_input_quant8 = {
+std::vector<MixedTypedExample>& get_examples_channel_nhwc_weight_as_input_quant8() {
+static std::vector<MixedTypedExample> examples_channel_nhwc_weight_as_input_quant8 = {
// Begin of an example
{
.operands = {
@@ -1019,8 +1107,11 @@
},
}, // End of an example
};
+return examples_channel_nhwc_weight_as_input_quant8;
+};
-std::vector<MixedTypedExample> examples_channel_nchw = {
+std::vector<MixedTypedExample>& get_examples_channel_nchw() {
+static std::vector<MixedTypedExample> examples_channel_nchw = {
// Begin of an example
{
.operands = {
@@ -1053,8 +1144,11 @@
},
}, // End of an example
};
+return examples_channel_nchw;
+};
-std::vector<MixedTypedExample> examples_channel_nchw_relaxed = {
+std::vector<MixedTypedExample>& get_examples_channel_nchw_relaxed() {
+static std::vector<MixedTypedExample> examples_channel_nchw_relaxed = {
// Begin of an example
{
.operands = {
@@ -1087,8 +1181,11 @@
},
}, // End of an example
};
+return examples_channel_nchw_relaxed;
+};
-std::vector<MixedTypedExample> examples_channel_nchw_quant8 = {
+std::vector<MixedTypedExample>& get_examples_channel_nchw_quant8() {
+static std::vector<MixedTypedExample> examples_channel_nchw_quant8 = {
// Begin of an example
{
.operands = {
@@ -1121,8 +1218,11 @@
},
}, // End of an example
};
+return examples_channel_nchw_quant8;
+};
-std::vector<MixedTypedExample> examples_channel_nchw_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_channel_nchw_weight_as_input() {
+static std::vector<MixedTypedExample> examples_channel_nchw_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -1155,8 +1255,11 @@
},
}, // End of an example
};
+return examples_channel_nchw_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_channel_nchw_weight_as_input_relaxed = {
+std::vector<MixedTypedExample>& get_examples_channel_nchw_weight_as_input_relaxed() {
+static std::vector<MixedTypedExample> examples_channel_nchw_weight_as_input_relaxed = {
// Begin of an example
{
.operands = {
@@ -1189,8 +1292,11 @@
},
}, // End of an example
};
+return examples_channel_nchw_weight_as_input_relaxed;
+};
-std::vector<MixedTypedExample> examples_channel_nchw_weight_as_input_quant8 = {
+std::vector<MixedTypedExample>& get_examples_channel_nchw_weight_as_input_quant8() {
+static std::vector<MixedTypedExample> examples_channel_nchw_weight_as_input_quant8 = {
// Begin of an example
{
.operands = {
@@ -1223,8 +1329,11 @@
},
}, // End of an example
};
+return examples_channel_nchw_weight_as_input_quant8;
+};
-std::vector<MixedTypedExample> examples_large_nhwc = {
+std::vector<MixedTypedExample>& get_examples_large_nhwc() {
+static std::vector<MixedTypedExample> examples_large_nhwc = {
// Begin of an example
{
.operands = {
@@ -1257,8 +1366,11 @@
},
}, // End of an example
};
+return examples_large_nhwc;
+};
-std::vector<MixedTypedExample> examples_large_nhwc_relaxed = {
+std::vector<MixedTypedExample>& get_examples_large_nhwc_relaxed() {
+static std::vector<MixedTypedExample> examples_large_nhwc_relaxed = {
// Begin of an example
{
.operands = {
@@ -1291,8 +1403,11 @@
},
}, // End of an example
};
+return examples_large_nhwc_relaxed;
+};
-std::vector<MixedTypedExample> examples_large_nhwc_quant8 = {
+std::vector<MixedTypedExample>& get_examples_large_nhwc_quant8() {
+static std::vector<MixedTypedExample> examples_large_nhwc_quant8 = {
// Begin of an example
{
.operands = {
@@ -1325,8 +1440,11 @@
},
}, // End of an example
};
+return examples_large_nhwc_quant8;
+};
-std::vector<MixedTypedExample> examples_large_nhwc_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_large_nhwc_weight_as_input() {
+static std::vector<MixedTypedExample> examples_large_nhwc_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -1359,8 +1477,11 @@
},
}, // End of an example
};
+return examples_large_nhwc_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_large_nhwc_weight_as_input_relaxed = {
+std::vector<MixedTypedExample>& get_examples_large_nhwc_weight_as_input_relaxed() {
+static std::vector<MixedTypedExample> examples_large_nhwc_weight_as_input_relaxed = {
// Begin of an example
{
.operands = {
@@ -1393,8 +1514,11 @@
},
}, // End of an example
};
+return examples_large_nhwc_weight_as_input_relaxed;
+};
-std::vector<MixedTypedExample> examples_large_nhwc_weight_as_input_quant8 = {
+std::vector<MixedTypedExample>& get_examples_large_nhwc_weight_as_input_quant8() {
+static std::vector<MixedTypedExample> examples_large_nhwc_weight_as_input_quant8 = {
// Begin of an example
{
.operands = {
@@ -1427,8 +1551,11 @@
},
}, // End of an example
};
+return examples_large_nhwc_weight_as_input_quant8;
+};
-std::vector<MixedTypedExample> examples_large_nchw = {
+std::vector<MixedTypedExample>& get_examples_large_nchw() {
+static std::vector<MixedTypedExample> examples_large_nchw = {
// Begin of an example
{
.operands = {
@@ -1461,8 +1588,11 @@
},
}, // End of an example
};
+return examples_large_nchw;
+};
-std::vector<MixedTypedExample> examples_large_nchw_relaxed = {
+std::vector<MixedTypedExample>& get_examples_large_nchw_relaxed() {
+static std::vector<MixedTypedExample> examples_large_nchw_relaxed = {
// Begin of an example
{
.operands = {
@@ -1495,8 +1625,11 @@
},
}, // End of an example
};
+return examples_large_nchw_relaxed;
+};
-std::vector<MixedTypedExample> examples_large_nchw_quant8 = {
+std::vector<MixedTypedExample>& get_examples_large_nchw_quant8() {
+static std::vector<MixedTypedExample> examples_large_nchw_quant8 = {
// Begin of an example
{
.operands = {
@@ -1529,8 +1662,11 @@
},
}, // End of an example
};
+return examples_large_nchw_quant8;
+};
-std::vector<MixedTypedExample> examples_large_nchw_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_large_nchw_weight_as_input() {
+static std::vector<MixedTypedExample> examples_large_nchw_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -1563,8 +1699,11 @@
},
}, // End of an example
};
+return examples_large_nchw_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_large_nchw_weight_as_input_relaxed = {
+std::vector<MixedTypedExample>& get_examples_large_nchw_weight_as_input_relaxed() {
+static std::vector<MixedTypedExample> examples_large_nchw_weight_as_input_relaxed = {
// Begin of an example
{
.operands = {
@@ -1597,8 +1736,11 @@
},
}, // End of an example
};
+return examples_large_nchw_weight_as_input_relaxed;
+};
-std::vector<MixedTypedExample> examples_large_nchw_weight_as_input_quant8 = {
+std::vector<MixedTypedExample>& get_examples_large_nchw_weight_as_input_quant8() {
+static std::vector<MixedTypedExample> examples_large_nchw_weight_as_input_quant8 = {
// Begin of an example
{
.operands = {
@@ -1631,8 +1773,11 @@
},
}, // End of an example
};
+return examples_large_nchw_weight_as_input_quant8;
+};
-std::vector<MixedTypedExample> examples_1_H3_W2_SAME_nhwc = {
+std::vector<MixedTypedExample>& get_examples_1_H3_W2_SAME_nhwc() {
+static std::vector<MixedTypedExample> examples_1_H3_W2_SAME_nhwc = {
// Begin of an example
{
.operands = {
@@ -1696,8 +1841,11 @@
},
}, // End of an example
};
+return examples_1_H3_W2_SAME_nhwc;
+};
-std::vector<MixedTypedExample> examples_1_H3_W2_SAME_nhwc_relaxed = {
+std::vector<MixedTypedExample>& get_examples_1_H3_W2_SAME_nhwc_relaxed() {
+static std::vector<MixedTypedExample> examples_1_H3_W2_SAME_nhwc_relaxed = {
// Begin of an example
{
.operands = {
@@ -1761,8 +1909,11 @@
},
}, // End of an example
};
+return examples_1_H3_W2_SAME_nhwc_relaxed;
+};
-std::vector<MixedTypedExample> examples_1_H3_W2_SAME_nchw = {
+std::vector<MixedTypedExample>& get_examples_1_H3_W2_SAME_nchw() {
+static std::vector<MixedTypedExample> examples_1_H3_W2_SAME_nchw = {
// Begin of an example
{
.operands = {
@@ -1826,8 +1977,11 @@
},
}, // End of an example
};
+return examples_1_H3_W2_SAME_nchw;
+};
-std::vector<MixedTypedExample> examples_1_H3_W2_SAME_nchw_relaxed = {
+std::vector<MixedTypedExample>& get_examples_1_H3_W2_SAME_nchw_relaxed() {
+static std::vector<MixedTypedExample> examples_1_H3_W2_SAME_nchw_relaxed = {
// Begin of an example
{
.operands = {
@@ -1891,8 +2045,11 @@
},
}, // End of an example
};
+return examples_1_H3_W2_SAME_nchw_relaxed;
+};
-std::vector<MixedTypedExample> examples_1_H3_W2_VALID_nhwc = {
+std::vector<MixedTypedExample>& get_examples_1_H3_W2_VALID_nhwc() {
+static std::vector<MixedTypedExample> examples_1_H3_W2_VALID_nhwc = {
// Begin of an example
{
.operands = {
@@ -1956,8 +2113,11 @@
},
}, // End of an example
};
+return examples_1_H3_W2_VALID_nhwc;
+};
-std::vector<MixedTypedExample> examples_1_H3_W2_VALID_nhwc_relaxed = {
+std::vector<MixedTypedExample>& get_examples_1_H3_W2_VALID_nhwc_relaxed() {
+static std::vector<MixedTypedExample> examples_1_H3_W2_VALID_nhwc_relaxed = {
// Begin of an example
{
.operands = {
@@ -2021,8 +2181,11 @@
},
}, // End of an example
};
+return examples_1_H3_W2_VALID_nhwc_relaxed;
+};
-std::vector<MixedTypedExample> examples_1_H3_W2_VALID_nchw = {
+std::vector<MixedTypedExample>& get_examples_1_H3_W2_VALID_nchw() {
+static std::vector<MixedTypedExample> examples_1_H3_W2_VALID_nchw = {
// Begin of an example
{
.operands = {
@@ -2086,8 +2249,11 @@
},
}, // End of an example
};
+return examples_1_H3_W2_VALID_nchw;
+};
-std::vector<MixedTypedExample> examples_1_H3_W2_VALID_nchw_relaxed = {
+std::vector<MixedTypedExample>& get_examples_1_H3_W2_VALID_nchw_relaxed() {
+static std::vector<MixedTypedExample> examples_1_H3_W2_VALID_nchw_relaxed = {
// Begin of an example
{
.operands = {
@@ -2151,8 +2317,11 @@
},
}, // End of an example
};
+return examples_1_H3_W2_VALID_nchw_relaxed;
+};
-std::vector<MixedTypedExample> examples_3_H3_W2_SAME_nhwc = {
+std::vector<MixedTypedExample>& get_examples_3_H3_W2_SAME_nhwc() {
+static std::vector<MixedTypedExample> examples_3_H3_W2_SAME_nhwc = {
// Begin of an example
{
.operands = {
@@ -2216,8 +2385,11 @@
},
}, // End of an example
};
+return examples_3_H3_W2_SAME_nhwc;
+};
-std::vector<MixedTypedExample> examples_3_H3_W2_SAME_nhwc_relaxed = {
+std::vector<MixedTypedExample>& get_examples_3_H3_W2_SAME_nhwc_relaxed() {
+static std::vector<MixedTypedExample> examples_3_H3_W2_SAME_nhwc_relaxed = {
// Begin of an example
{
.operands = {
@@ -2281,8 +2453,11 @@
},
}, // End of an example
};
+return examples_3_H3_W2_SAME_nhwc_relaxed;
+};
-std::vector<MixedTypedExample> examples_3_H3_W2_SAME_nchw = {
+std::vector<MixedTypedExample>& get_examples_3_H3_W2_SAME_nchw() {
+static std::vector<MixedTypedExample> examples_3_H3_W2_SAME_nchw = {
// Begin of an example
{
.operands = {
@@ -2346,8 +2521,11 @@
},
}, // End of an example
};
+return examples_3_H3_W2_SAME_nchw;
+};
-std::vector<MixedTypedExample> examples_3_H3_W2_SAME_nchw_relaxed = {
+std::vector<MixedTypedExample>& get_examples_3_H3_W2_SAME_nchw_relaxed() {
+static std::vector<MixedTypedExample> examples_3_H3_W2_SAME_nchw_relaxed = {
// Begin of an example
{
.operands = {
@@ -2411,8 +2589,11 @@
},
}, // End of an example
};
+return examples_3_H3_W2_SAME_nchw_relaxed;
+};
-std::vector<MixedTypedExample> examples_3_H3_W2_VALID_nhwc = {
+std::vector<MixedTypedExample>& get_examples_3_H3_W2_VALID_nhwc() {
+static std::vector<MixedTypedExample> examples_3_H3_W2_VALID_nhwc = {
// Begin of an example
{
.operands = {
@@ -2476,8 +2657,11 @@
},
}, // End of an example
};
+return examples_3_H3_W2_VALID_nhwc;
+};
-std::vector<MixedTypedExample> examples_3_H3_W2_VALID_nhwc_relaxed = {
+std::vector<MixedTypedExample>& get_examples_3_H3_W2_VALID_nhwc_relaxed() {
+static std::vector<MixedTypedExample> examples_3_H3_W2_VALID_nhwc_relaxed = {
// Begin of an example
{
.operands = {
@@ -2541,8 +2725,11 @@
},
}, // End of an example
};
+return examples_3_H3_W2_VALID_nhwc_relaxed;
+};
-std::vector<MixedTypedExample> examples_3_H3_W2_VALID_nchw = {
+std::vector<MixedTypedExample>& get_examples_3_H3_W2_VALID_nchw() {
+static std::vector<MixedTypedExample> examples_3_H3_W2_VALID_nchw = {
// Begin of an example
{
.operands = {
@@ -2606,8 +2793,11 @@
},
}, // End of an example
};
+return examples_3_H3_W2_VALID_nchw;
+};
-std::vector<MixedTypedExample> examples_3_H3_W2_VALID_nchw_relaxed = {
+std::vector<MixedTypedExample>& get_examples_3_H3_W2_VALID_nchw_relaxed() {
+static std::vector<MixedTypedExample> examples_3_H3_W2_VALID_nchw_relaxed = {
// Begin of an example
{
.operands = {
@@ -2671,4 +2861,6 @@
},
}, // End of an example
};
+return examples_3_H3_W2_VALID_nchw_relaxed;
+};
diff --git a/nn/runtime/test/generated/examples/conv_1_h3_w2_SAME.example.cpp b/nn/runtime/test/generated/examples/conv_1_h3_w2_SAME.example.cpp
index 276874a..b31f825 100644
--- a/nn/runtime/test/generated/examples/conv_1_h3_w2_SAME.example.cpp
+++ b/nn/runtime/test/generated/examples/conv_1_h3_w2_SAME.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: conv_1_h3_w2_SAME.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -64,4 +65,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/conv_1_h3_w2_SAME_relaxed.example.cpp b/nn/runtime/test/generated/examples/conv_1_h3_w2_SAME_relaxed.example.cpp
index 9526d36..4ee9bed 100644
--- a/nn/runtime/test/generated/examples/conv_1_h3_w2_SAME_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/conv_1_h3_w2_SAME_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: conv_1_h3_w2_SAME_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -64,4 +65,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/conv_1_h3_w2_VALID.example.cpp b/nn/runtime/test/generated/examples/conv_1_h3_w2_VALID.example.cpp
index db5f6d1..7b48db8 100644
--- a/nn/runtime/test/generated/examples/conv_1_h3_w2_VALID.example.cpp
+++ b/nn/runtime/test/generated/examples/conv_1_h3_w2_VALID.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: conv_1_h3_w2_VALID.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -64,4 +65,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/conv_1_h3_w2_VALID_relaxed.example.cpp b/nn/runtime/test/generated/examples/conv_1_h3_w2_VALID_relaxed.example.cpp
index 502f101..11d3df3 100644
--- a/nn/runtime/test/generated/examples/conv_1_h3_w2_VALID_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/conv_1_h3_w2_VALID_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: conv_1_h3_w2_VALID_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -64,4 +65,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/conv_3_h3_w2_SAME.example.cpp b/nn/runtime/test/generated/examples/conv_3_h3_w2_SAME.example.cpp
index cbac90e..8586856 100644
--- a/nn/runtime/test/generated/examples/conv_3_h3_w2_SAME.example.cpp
+++ b/nn/runtime/test/generated/examples/conv_3_h3_w2_SAME.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: conv_3_h3_w2_SAME.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -64,4 +65,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/conv_3_h3_w2_SAME_relaxed.example.cpp b/nn/runtime/test/generated/examples/conv_3_h3_w2_SAME_relaxed.example.cpp
index d103091..b3c091f 100644
--- a/nn/runtime/test/generated/examples/conv_3_h3_w2_SAME_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/conv_3_h3_w2_SAME_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: conv_3_h3_w2_SAME_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -64,4 +65,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/conv_3_h3_w2_VALID.example.cpp b/nn/runtime/test/generated/examples/conv_3_h3_w2_VALID.example.cpp
index afac024..09a3ea5 100644
--- a/nn/runtime/test/generated/examples/conv_3_h3_w2_VALID.example.cpp
+++ b/nn/runtime/test/generated/examples/conv_3_h3_w2_VALID.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: conv_3_h3_w2_VALID.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -64,4 +65,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/conv_3_h3_w2_VALID_relaxed.example.cpp b/nn/runtime/test/generated/examples/conv_3_h3_w2_VALID_relaxed.example.cpp
index ca85ffe..3bc73ab 100644
--- a/nn/runtime/test/generated/examples/conv_3_h3_w2_VALID_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/conv_3_h3_w2_VALID_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: conv_3_h3_w2_VALID_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -64,4 +65,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/conv_float.example.cpp b/nn/runtime/test/generated/examples/conv_float.example.cpp
index 1818e0d..4d8a66f 100644
--- a/nn/runtime/test/generated/examples/conv_float.example.cpp
+++ b/nn/runtime/test/generated/examples/conv_float.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: conv_float.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/conv_float_2.example.cpp b/nn/runtime/test/generated/examples/conv_float_2.example.cpp
index b26a094..61f6d8a 100644
--- a/nn/runtime/test/generated/examples/conv_float_2.example.cpp
+++ b/nn/runtime/test/generated/examples/conv_float_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: conv_float_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/conv_float_2_relaxed.example.cpp b/nn/runtime/test/generated/examples/conv_float_2_relaxed.example.cpp
index b10cf5f..5557cb8 100644
--- a/nn/runtime/test/generated/examples/conv_float_2_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/conv_float_2_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: conv_float_2_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/conv_float_channels.example.cpp b/nn/runtime/test/generated/examples/conv_float_channels.example.cpp
index 5ae0b3c..04633c7 100644
--- a/nn/runtime/test/generated/examples/conv_float_channels.example.cpp
+++ b/nn/runtime/test/generated/examples/conv_float_channels.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: conv_float_channels.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/conv_float_channels_relaxed.example.cpp b/nn/runtime/test/generated/examples/conv_float_channels_relaxed.example.cpp
index af93fbc..497ed92 100644
--- a/nn/runtime/test/generated/examples/conv_float_channels_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/conv_float_channels_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: conv_float_channels_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/conv_float_channels_weights_as_inputs.example.cpp b/nn/runtime/test/generated/examples/conv_float_channels_weights_as_inputs.example.cpp
index 97a8160..e9b158d 100644
--- a/nn/runtime/test/generated/examples/conv_float_channels_weights_as_inputs.example.cpp
+++ b/nn/runtime/test/generated/examples/conv_float_channels_weights_as_inputs.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: conv_float_channels_weights_as_inputs.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/conv_float_channels_weights_as_inputs_relaxed.example.cpp b/nn/runtime/test/generated/examples/conv_float_channels_weights_as_inputs_relaxed.example.cpp
index a8b993b..eb6581d 100644
--- a/nn/runtime/test/generated/examples/conv_float_channels_weights_as_inputs_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/conv_float_channels_weights_as_inputs_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: conv_float_channels_weights_as_inputs_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/conv_float_large.example.cpp b/nn/runtime/test/generated/examples/conv_float_large.example.cpp
index f2ecb28..c126aee 100644
--- a/nn/runtime/test/generated/examples/conv_float_large.example.cpp
+++ b/nn/runtime/test/generated/examples/conv_float_large.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: conv_float_large.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/conv_float_large_relaxed.example.cpp b/nn/runtime/test/generated/examples/conv_float_large_relaxed.example.cpp
index e6575ce..1588633 100644
--- a/nn/runtime/test/generated/examples/conv_float_large_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/conv_float_large_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: conv_float_large_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/conv_float_large_weights_as_inputs.example.cpp b/nn/runtime/test/generated/examples/conv_float_large_weights_as_inputs.example.cpp
index 878e8ec..2e1e42f 100644
--- a/nn/runtime/test/generated/examples/conv_float_large_weights_as_inputs.example.cpp
+++ b/nn/runtime/test/generated/examples/conv_float_large_weights_as_inputs.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: conv_float_large_weights_as_inputs.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/conv_float_large_weights_as_inputs_relaxed.example.cpp b/nn/runtime/test/generated/examples/conv_float_large_weights_as_inputs_relaxed.example.cpp
index 29c692a..23626f0 100644
--- a/nn/runtime/test/generated/examples/conv_float_large_weights_as_inputs_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/conv_float_large_weights_as_inputs_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: conv_float_large_weights_as_inputs_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/conv_float_relaxed.example.cpp b/nn/runtime/test/generated/examples/conv_float_relaxed.example.cpp
index 26633d1..b4cc604 100644
--- a/nn/runtime/test/generated/examples/conv_float_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/conv_float_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: conv_float_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/conv_float_weights_as_inputs.example.cpp b/nn/runtime/test/generated/examples/conv_float_weights_as_inputs.example.cpp
index 8168d7d..38a57c0 100644
--- a/nn/runtime/test/generated/examples/conv_float_weights_as_inputs.example.cpp
+++ b/nn/runtime/test/generated/examples/conv_float_weights_as_inputs.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: conv_float_weights_as_inputs.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/conv_float_weights_as_inputs_relaxed.example.cpp b/nn/runtime/test/generated/examples/conv_float_weights_as_inputs_relaxed.example.cpp
index 368643a..8e94886 100644
--- a/nn/runtime/test/generated/examples/conv_float_weights_as_inputs_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/conv_float_weights_as_inputs_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: conv_float_weights_as_inputs_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/conv_quant8.example.cpp b/nn/runtime/test/generated/examples/conv_quant8.example.cpp
index 110e87e..c420c9e 100644
--- a/nn/runtime/test/generated/examples/conv_quant8.example.cpp
+++ b/nn/runtime/test/generated/examples/conv_quant8.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: conv_quant8.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/conv_quant8_2.example.cpp b/nn/runtime/test/generated/examples/conv_quant8_2.example.cpp
index 8573fee..f0511b3 100644
--- a/nn/runtime/test/generated/examples/conv_quant8_2.example.cpp
+++ b/nn/runtime/test/generated/examples/conv_quant8_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: conv_quant8_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/conv_quant8_channels.example.cpp b/nn/runtime/test/generated/examples/conv_quant8_channels.example.cpp
index 945e999..6aad156 100644
--- a/nn/runtime/test/generated/examples/conv_quant8_channels.example.cpp
+++ b/nn/runtime/test/generated/examples/conv_quant8_channels.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: conv_quant8_channels.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/conv_quant8_channels_weights_as_inputs.example.cpp b/nn/runtime/test/generated/examples/conv_quant8_channels_weights_as_inputs.example.cpp
index 940c43a..aaf68d3 100644
--- a/nn/runtime/test/generated/examples/conv_quant8_channels_weights_as_inputs.example.cpp
+++ b/nn/runtime/test/generated/examples/conv_quant8_channels_weights_as_inputs.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: conv_quant8_channels_weights_as_inputs.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/conv_quant8_large.example.cpp b/nn/runtime/test/generated/examples/conv_quant8_large.example.cpp
index 450c227..b84f851 100644
--- a/nn/runtime/test/generated/examples/conv_quant8_large.example.cpp
+++ b/nn/runtime/test/generated/examples/conv_quant8_large.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: conv_quant8_large.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/conv_quant8_large_weights_as_inputs.example.cpp b/nn/runtime/test/generated/examples/conv_quant8_large_weights_as_inputs.example.cpp
index 1e7788d..c70c07c 100644
--- a/nn/runtime/test/generated/examples/conv_quant8_large_weights_as_inputs.example.cpp
+++ b/nn/runtime/test/generated/examples/conv_quant8_large_weights_as_inputs.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: conv_quant8_large_weights_as_inputs.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/conv_quant8_overflow.example.cpp b/nn/runtime/test/generated/examples/conv_quant8_overflow.example.cpp
index bbfe27a..afad37a 100644
--- a/nn/runtime/test/generated/examples/conv_quant8_overflow.example.cpp
+++ b/nn/runtime/test/generated/examples/conv_quant8_overflow.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: conv_quant8_overflow.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/conv_quant8_overflow_weights_as_inputs.example.cpp b/nn/runtime/test/generated/examples/conv_quant8_overflow_weights_as_inputs.example.cpp
index 2740913..646a96a 100644
--- a/nn/runtime/test/generated/examples/conv_quant8_overflow_weights_as_inputs.example.cpp
+++ b/nn/runtime/test/generated/examples/conv_quant8_overflow_weights_as_inputs.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: conv_quant8_overflow_weights_as_inputs.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/conv_quant8_weights_as_inputs.example.cpp b/nn/runtime/test/generated/examples/conv_quant8_weights_as_inputs.example.cpp
index a09c2aa..f337667 100644
--- a/nn/runtime/test/generated/examples/conv_quant8_weights_as_inputs.example.cpp
+++ b/nn/runtime/test/generated/examples/conv_quant8_weights_as_inputs.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: conv_quant8_weights_as_inputs.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/depth_to_space_float_1.example.cpp b/nn/runtime/test/generated/examples/depth_to_space_float_1.example.cpp
index fed858a..995d38d 100644
--- a/nn/runtime/test/generated/examples/depth_to_space_float_1.example.cpp
+++ b/nn/runtime/test/generated/examples/depth_to_space_float_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: depth_to_space_float_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/depth_to_space_float_1_relaxed.example.cpp b/nn/runtime/test/generated/examples/depth_to_space_float_1_relaxed.example.cpp
index 8e84175..7b2a233 100644
--- a/nn/runtime/test/generated/examples/depth_to_space_float_1_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/depth_to_space_float_1_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: depth_to_space_float_1_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/depth_to_space_float_2.example.cpp b/nn/runtime/test/generated/examples/depth_to_space_float_2.example.cpp
index 5878dfb..91e6f42 100644
--- a/nn/runtime/test/generated/examples/depth_to_space_float_2.example.cpp
+++ b/nn/runtime/test/generated/examples/depth_to_space_float_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: depth_to_space_float_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/depth_to_space_float_2_relaxed.example.cpp b/nn/runtime/test/generated/examples/depth_to_space_float_2_relaxed.example.cpp
index 1fa95b2..e02a421 100644
--- a/nn/runtime/test/generated/examples/depth_to_space_float_2_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/depth_to_space_float_2_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: depth_to_space_float_2_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/depth_to_space_float_3.example.cpp b/nn/runtime/test/generated/examples/depth_to_space_float_3.example.cpp
index 72f54bc..1417ea6 100644
--- a/nn/runtime/test/generated/examples/depth_to_space_float_3.example.cpp
+++ b/nn/runtime/test/generated/examples/depth_to_space_float_3.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: depth_to_space_float_3.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/depth_to_space_float_3_relaxed.example.cpp b/nn/runtime/test/generated/examples/depth_to_space_float_3_relaxed.example.cpp
index b77c4d7..6953241 100644
--- a/nn/runtime/test/generated/examples/depth_to_space_float_3_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/depth_to_space_float_3_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: depth_to_space_float_3_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/depth_to_space_quant8_1.example.cpp b/nn/runtime/test/generated/examples/depth_to_space_quant8_1.example.cpp
index caec79f..28402b9 100644
--- a/nn/runtime/test/generated/examples/depth_to_space_quant8_1.example.cpp
+++ b/nn/runtime/test/generated/examples/depth_to_space_quant8_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: depth_to_space_quant8_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/depth_to_space_quant8_2.example.cpp b/nn/runtime/test/generated/examples/depth_to_space_quant8_2.example.cpp
index 31e0d75..56d661d 100644
--- a/nn/runtime/test/generated/examples/depth_to_space_quant8_2.example.cpp
+++ b/nn/runtime/test/generated/examples/depth_to_space_quant8_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: depth_to_space_quant8_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/depth_to_space_v1_2.example.cpp b/nn/runtime/test/generated/examples/depth_to_space_v1_2.example.cpp
index a864858..4de5f70 100644
--- a/nn/runtime/test/generated/examples/depth_to_space_v1_2.example.cpp
+++ b/nn/runtime/test/generated/examples/depth_to_space_v1_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: depth_to_space_v1_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples_nhwc = {
+std::vector<MixedTypedExample>& get_examples_nhwc() {
+static std::vector<MixedTypedExample> examples_nhwc = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples_nhwc;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,48 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed;
+};
-std::vector<MixedTypedExample> examples_nhwc_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_float16() {
+static std::vector<MixedTypedExample> examples_nhwc_float16 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.399999976158142f, 2.299999952316284f, 3.200000047683716f, 4.099999904632568f, 5.400000095367432f, 6.300000190734863f, 7.199999809265137f, 8.100000381469727f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.399999976158142f, 2.299999952316284f, 3.200000047683716f, 4.099999904632568f, 5.400000095367432f, 6.300000190734863f, 7.199999809265137f, 8.100000381469727f}}},
+}
+},
+}, // End of an example
+};
+return examples_nhwc_float16;
+};
+
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8 = {
// Begin of an example
{
.operands = {
@@ -101,8 +145,11 @@
},
}, // End of an example
};
+return examples_nhwc_quant8;
+};
-std::vector<MixedTypedExample> examples_nchw = {
+std::vector<MixedTypedExample>& get_examples_nchw() {
+static std::vector<MixedTypedExample> examples_nchw = {
// Begin of an example
{
.operands = {
@@ -135,8 +182,11 @@
},
}, // End of an example
};
+return examples_nchw;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed = {
// Begin of an example
{
.operands = {
@@ -169,8 +219,48 @@
},
}, // End of an example
};
+return examples_nchw_relaxed;
+};
-std::vector<MixedTypedExample> examples_nchw_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nchw_float16() {
+static std::vector<MixedTypedExample> examples_nchw_float16 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.399999976158142f, 2.299999952316284f, 3.200000047683716f, 4.099999904632568f, 5.400000095367432f, 6.300000190734863f, 7.199999809265137f, 8.100000381469727f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.399999976158142f, 3.200000047683716f, 5.400000095367432f, 7.199999809265137f, 2.299999952316284f, 4.099999904632568f, 6.300000190734863f, 8.100000381469727f}}},
+}
+},
+}, // End of an example
+};
+return examples_nchw_float16;
+};
+
+std::vector<MixedTypedExample>& get_examples_nchw_quant8() {
+static std::vector<MixedTypedExample> examples_nchw_quant8 = {
// Begin of an example
{
.operands = {
@@ -203,8 +293,11 @@
},
}, // End of an example
};
+return examples_nchw_quant8;
+};
-std::vector<MixedTypedExample> examples_nhwc_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_2() {
+static std::vector<MixedTypedExample> examples_nhwc_2 = {
// Begin of an example
{
.operands = {
@@ -237,8 +330,11 @@
},
}, // End of an example
};
+return examples_nhwc_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed_2() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -271,8 +367,48 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_quant8_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_float16_2() {
+static std::vector<MixedTypedExample> examples_nhwc_float16_2 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 2.0f, 5.0f, 6.0f, 3.0f, 4.0f, 7.0f, 8.0f, 9.0f, 10.0f, 13.0f, 14.0f, 11.0f, 12.0f, 15.0f, 16.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f}}},
+}
+},
+}, // End of an example
+};
+return examples_nhwc_float16_2;
+};
+
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8_2() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8_2 = {
// Begin of an example
{
.operands = {
@@ -305,8 +441,11 @@
},
}, // End of an example
};
+return examples_nhwc_quant8_2;
+};
-std::vector<MixedTypedExample> examples_nchw_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_2() {
+static std::vector<MixedTypedExample> examples_nchw_2 = {
// Begin of an example
{
.operands = {
@@ -339,8 +478,11 @@
},
}, // End of an example
};
+return examples_nchw_2;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed_2() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -373,8 +515,48 @@
},
}, // End of an example
};
+return examples_nchw_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_nchw_quant8_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_float16_2() {
+static std::vector<MixedTypedExample> examples_nchw_float16_2 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 3.0f, 9.0f, 11.0f, 2.0f, 4.0f, 10.0f, 12.0f, 5.0f, 7.0f, 13.0f, 15.0f, 6.0f, 8.0f, 14.0f, 16.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f}}},
+}
+},
+}, // End of an example
+};
+return examples_nchw_float16_2;
+};
+
+std::vector<MixedTypedExample>& get_examples_nchw_quant8_2() {
+static std::vector<MixedTypedExample> examples_nchw_quant8_2 = {
// Begin of an example
{
.operands = {
@@ -407,8 +589,11 @@
},
}, // End of an example
};
+return examples_nchw_quant8_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_3 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_3() {
+static std::vector<MixedTypedExample> examples_nhwc_3 = {
// Begin of an example
{
.operands = {
@@ -441,8 +626,11 @@
},
}, // End of an example
};
+return examples_nhwc_3;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed_3 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed_3() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed_3 = {
// Begin of an example
{
.operands = {
@@ -475,8 +663,48 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed_3;
+};
-std::vector<MixedTypedExample> examples_nhwc_quant8_3 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_float16_3() {
+static std::vector<MixedTypedExample> examples_nhwc_float16_3 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {10.0f, 20.0f, 11.0f, 21.0f, 14.0f, 24.0f, 15.0f, 25.0f, 12.0f, 22.0f, 13.0f, 23.0f, 16.0f, 26.0f, 17.0f, 27.0f, 18.0f, 28.0f, 19.0f, 29.0f, 112.0f, 212.0f, 113.0f, 213.0f, 110.0f, 210.0f, 111.0f, 211.0f, 114.0f, 214.0f, 115.0f, 215.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {10.0f, 20.0f, 11.0f, 21.0f, 12.0f, 22.0f, 13.0f, 23.0f, 14.0f, 24.0f, 15.0f, 25.0f, 16.0f, 26.0f, 17.0f, 27.0f, 18.0f, 28.0f, 19.0f, 29.0f, 110.0f, 210.0f, 111.0f, 211.0f, 112.0f, 212.0f, 113.0f, 213.0f, 114.0f, 214.0f, 115.0f, 215.0f}}},
+}
+},
+}, // End of an example
+};
+return examples_nhwc_float16_3;
+};
+
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8_3() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8_3 = {
// Begin of an example
{
.operands = {
@@ -509,8 +737,11 @@
},
}, // End of an example
};
+return examples_nhwc_quant8_3;
+};
-std::vector<MixedTypedExample> examples_nchw_3 = {
+std::vector<MixedTypedExample>& get_examples_nchw_3() {
+static std::vector<MixedTypedExample> examples_nchw_3 = {
// Begin of an example
{
.operands = {
@@ -543,8 +774,11 @@
},
}, // End of an example
};
+return examples_nchw_3;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed_3 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed_3() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed_3 = {
// Begin of an example
{
.operands = {
@@ -577,8 +811,48 @@
},
}, // End of an example
};
+return examples_nchw_relaxed_3;
+};
-std::vector<MixedTypedExample> examples_nchw_quant8_3 = {
+std::vector<MixedTypedExample>& get_examples_nchw_float16_3() {
+static std::vector<MixedTypedExample> examples_nchw_float16_3 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {10.0f, 12.0f, 18.0f, 110.0f, 20.0f, 22.0f, 28.0f, 210.0f, 11.0f, 13.0f, 19.0f, 111.0f, 21.0f, 23.0f, 29.0f, 211.0f, 14.0f, 16.0f, 112.0f, 114.0f, 24.0f, 26.0f, 212.0f, 214.0f, 15.0f, 17.0f, 113.0f, 115.0f, 25.0f, 27.0f, 213.0f, 215.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 110.0f, 111.0f, 112.0f, 113.0f, 114.0f, 115.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f, 25.0f, 26.0f, 27.0f, 28.0f, 29.0f, 210.0f, 211.0f, 212.0f, 213.0f, 214.0f, 215.0f}}},
+}
+},
+}, // End of an example
+};
+return examples_nchw_float16_3;
+};
+
+std::vector<MixedTypedExample>& get_examples_nchw_quant8_3() {
+static std::vector<MixedTypedExample> examples_nchw_quant8_3 = {
// Begin of an example
{
.operands = {
@@ -611,4 +885,6 @@
},
}, // End of an example
};
+return examples_nchw_quant8_3;
+};
diff --git a/nn/runtime/test/generated/examples/depthwise_conv.example.cpp b/nn/runtime/test/generated/examples/depthwise_conv.example.cpp
index 4fffaf2..09144cc 100644
--- a/nn/runtime/test/generated/examples/depthwise_conv.example.cpp
+++ b/nn/runtime/test/generated/examples/depthwise_conv.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: depthwise_conv.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -64,4 +65,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/depthwise_conv2d_float.example.cpp b/nn/runtime/test/generated/examples/depthwise_conv2d_float.example.cpp
index d007adf..ce640c2 100644
--- a/nn/runtime/test/generated/examples/depthwise_conv2d_float.example.cpp
+++ b/nn/runtime/test/generated/examples/depthwise_conv2d_float.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: depthwise_conv2d_float.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/depthwise_conv2d_float_2.example.cpp b/nn/runtime/test/generated/examples/depthwise_conv2d_float_2.example.cpp
index a401626..39d6d68 100644
--- a/nn/runtime/test/generated/examples/depthwise_conv2d_float_2.example.cpp
+++ b/nn/runtime/test/generated/examples/depthwise_conv2d_float_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: depthwise_conv2d_float_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/depthwise_conv2d_float_2_relaxed.example.cpp b/nn/runtime/test/generated/examples/depthwise_conv2d_float_2_relaxed.example.cpp
index b724cd3..47bd55a 100644
--- a/nn/runtime/test/generated/examples/depthwise_conv2d_float_2_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/depthwise_conv2d_float_2_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: depthwise_conv2d_float_2_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/depthwise_conv2d_float_large.example.cpp b/nn/runtime/test/generated/examples/depthwise_conv2d_float_large.example.cpp
index aefc862..b6bd386 100644
--- a/nn/runtime/test/generated/examples/depthwise_conv2d_float_large.example.cpp
+++ b/nn/runtime/test/generated/examples/depthwise_conv2d_float_large.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: depthwise_conv2d_float_large.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/depthwise_conv2d_float_large_2.example.cpp b/nn/runtime/test/generated/examples/depthwise_conv2d_float_large_2.example.cpp
index 6304457..da26d9e 100644
--- a/nn/runtime/test/generated/examples/depthwise_conv2d_float_large_2.example.cpp
+++ b/nn/runtime/test/generated/examples/depthwise_conv2d_float_large_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: depthwise_conv2d_float_large_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/depthwise_conv2d_float_large_2_relaxed.example.cpp b/nn/runtime/test/generated/examples/depthwise_conv2d_float_large_2_relaxed.example.cpp
index fe13eab..32548bd 100644
--- a/nn/runtime/test/generated/examples/depthwise_conv2d_float_large_2_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/depthwise_conv2d_float_large_2_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: depthwise_conv2d_float_large_2_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/depthwise_conv2d_float_large_2_weights_as_inputs.example.cpp b/nn/runtime/test/generated/examples/depthwise_conv2d_float_large_2_weights_as_inputs.example.cpp
index 956fe10..d062ab9 100644
--- a/nn/runtime/test/generated/examples/depthwise_conv2d_float_large_2_weights_as_inputs.example.cpp
+++ b/nn/runtime/test/generated/examples/depthwise_conv2d_float_large_2_weights_as_inputs.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: depthwise_conv2d_float_large_2_weights_as_inputs.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/depthwise_conv2d_float_large_2_weights_as_inputs_relaxed.example.cpp b/nn/runtime/test/generated/examples/depthwise_conv2d_float_large_2_weights_as_inputs_relaxed.example.cpp
index fd94e9e..0ebe701 100644
--- a/nn/runtime/test/generated/examples/depthwise_conv2d_float_large_2_weights_as_inputs_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/depthwise_conv2d_float_large_2_weights_as_inputs_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: depthwise_conv2d_float_large_2_weights_as_inputs_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/depthwise_conv2d_float_large_relaxed.example.cpp b/nn/runtime/test/generated/examples/depthwise_conv2d_float_large_relaxed.example.cpp
index 7181648..6a6eb15 100644
--- a/nn/runtime/test/generated/examples/depthwise_conv2d_float_large_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/depthwise_conv2d_float_large_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: depthwise_conv2d_float_large_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/depthwise_conv2d_float_large_weights_as_inputs.example.cpp b/nn/runtime/test/generated/examples/depthwise_conv2d_float_large_weights_as_inputs.example.cpp
index ed76720..44fbeb6 100644
--- a/nn/runtime/test/generated/examples/depthwise_conv2d_float_large_weights_as_inputs.example.cpp
+++ b/nn/runtime/test/generated/examples/depthwise_conv2d_float_large_weights_as_inputs.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: depthwise_conv2d_float_large_weights_as_inputs.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/depthwise_conv2d_float_large_weights_as_inputs_relaxed.example.cpp b/nn/runtime/test/generated/examples/depthwise_conv2d_float_large_weights_as_inputs_relaxed.example.cpp
index db712c9..374add6 100644
--- a/nn/runtime/test/generated/examples/depthwise_conv2d_float_large_weights_as_inputs_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/depthwise_conv2d_float_large_weights_as_inputs_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: depthwise_conv2d_float_large_weights_as_inputs_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/depthwise_conv2d_float_relaxed.example.cpp b/nn/runtime/test/generated/examples/depthwise_conv2d_float_relaxed.example.cpp
index a35e022..788a461 100644
--- a/nn/runtime/test/generated/examples/depthwise_conv2d_float_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/depthwise_conv2d_float_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: depthwise_conv2d_float_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/depthwise_conv2d_float_weights_as_inputs.example.cpp b/nn/runtime/test/generated/examples/depthwise_conv2d_float_weights_as_inputs.example.cpp
index 843d394..7be027a 100644
--- a/nn/runtime/test/generated/examples/depthwise_conv2d_float_weights_as_inputs.example.cpp
+++ b/nn/runtime/test/generated/examples/depthwise_conv2d_float_weights_as_inputs.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: depthwise_conv2d_float_weights_as_inputs.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/depthwise_conv2d_float_weights_as_inputs_relaxed.example.cpp b/nn/runtime/test/generated/examples/depthwise_conv2d_float_weights_as_inputs_relaxed.example.cpp
index 202d1a1..0056051 100644
--- a/nn/runtime/test/generated/examples/depthwise_conv2d_float_weights_as_inputs_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/depthwise_conv2d_float_weights_as_inputs_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: depthwise_conv2d_float_weights_as_inputs_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/depthwise_conv2d_quant8.example.cpp b/nn/runtime/test/generated/examples/depthwise_conv2d_quant8.example.cpp
index bd4bea0..83edaa5 100644
--- a/nn/runtime/test/generated/examples/depthwise_conv2d_quant8.example.cpp
+++ b/nn/runtime/test/generated/examples/depthwise_conv2d_quant8.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: depthwise_conv2d_quant8.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/depthwise_conv2d_quant8_2.example.cpp b/nn/runtime/test/generated/examples/depthwise_conv2d_quant8_2.example.cpp
index 1a5b071..75e0a3d 100644
--- a/nn/runtime/test/generated/examples/depthwise_conv2d_quant8_2.example.cpp
+++ b/nn/runtime/test/generated/examples/depthwise_conv2d_quant8_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: depthwise_conv2d_quant8_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/depthwise_conv2d_quant8_large.example.cpp b/nn/runtime/test/generated/examples/depthwise_conv2d_quant8_large.example.cpp
index 1acd026..a21dd16 100644
--- a/nn/runtime/test/generated/examples/depthwise_conv2d_quant8_large.example.cpp
+++ b/nn/runtime/test/generated/examples/depthwise_conv2d_quant8_large.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: depthwise_conv2d_quant8_large.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/depthwise_conv2d_quant8_large_weights_as_inputs.example.cpp b/nn/runtime/test/generated/examples/depthwise_conv2d_quant8_large_weights_as_inputs.example.cpp
index 085d414..53a885b 100644
--- a/nn/runtime/test/generated/examples/depthwise_conv2d_quant8_large_weights_as_inputs.example.cpp
+++ b/nn/runtime/test/generated/examples/depthwise_conv2d_quant8_large_weights_as_inputs.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: depthwise_conv2d_quant8_large_weights_as_inputs.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/depthwise_conv2d_quant8_weights_as_inputs.example.cpp b/nn/runtime/test/generated/examples/depthwise_conv2d_quant8_weights_as_inputs.example.cpp
index 6ac634e..2f200ed 100644
--- a/nn/runtime/test/generated/examples/depthwise_conv2d_quant8_weights_as_inputs.example.cpp
+++ b/nn/runtime/test/generated/examples/depthwise_conv2d_quant8_weights_as_inputs.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: depthwise_conv2d_quant8_weights_as_inputs.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/depthwise_conv2d_v1_2.example.cpp b/nn/runtime/test/generated/examples/depthwise_conv2d_v1_2.example.cpp
index af9249d..ec696e9 100644
--- a/nn/runtime/test/generated/examples/depthwise_conv2d_v1_2.example.cpp
+++ b/nn/runtime/test/generated/examples/depthwise_conv2d_v1_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: depthwise_conv2d_v1_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples_nhwc = {
+std::vector<MixedTypedExample>& get_examples_nhwc() {
+static std::vector<MixedTypedExample> examples_nhwc = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples_nhwc;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,48 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed;
+};
-std::vector<MixedTypedExample> examples_nhwc_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_float16() {
+static std::vector<MixedTypedExample> examples_nhwc_float16 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {10.0f, 21.0f, 10.0f, 22.0f, 10.0f, 23.0f, 10.0f, 24.0f, 10.0f, 25.0f, 10.0f, 26.0f, 10.0f, 27.0f, 10.0f, 28.0f, 10.0f, 29.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {11.0f, 3.0f, 7.199999809265137f, 10.600000381469727f, 11.0f, 3.0f, 7.400000095367432f, 10.899999618530273f, 11.0f, 3.0f, 7.800000190734863f, 11.5f, 11.0f, 3.0f, 8.0f, 11.800000190734863f}}},
+}
+},
+}, // End of an example
+};
+return examples_nhwc_float16;
+};
+
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8 = {
// Begin of an example
{
.operands = {
@@ -101,8 +145,11 @@
},
}, // End of an example
};
+return examples_nhwc_quant8;
+};
-std::vector<MixedTypedExample> examples_nhwc_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nhwc_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nhwc_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -135,8 +182,11 @@
},
}, // End of an example
};
+return examples_nhwc_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nhwc_weight_as_input_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nhwc_weight_as_input_relaxed() {
+static std::vector<MixedTypedExample> examples_nhwc_weight_as_input_relaxed = {
// Begin of an example
{
.operands = {
@@ -169,8 +219,48 @@
},
}, // End of an example
};
+return examples_nhwc_weight_as_input_relaxed;
+};
-std::vector<MixedTypedExample> examples_nhwc_weight_as_input_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_weight_as_input_float16() {
+static std::vector<MixedTypedExample> examples_nhwc_weight_as_input_float16 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {10.0f, 21.0f, 10.0f, 22.0f, 10.0f, 23.0f, 10.0f, 24.0f, 10.0f, 25.0f, 10.0f, 26.0f, 10.0f, 27.0f, 10.0f, 28.0f, 10.0f, 29.0f}}, {1, {0.25f, 0.0f, 0.20000000298023224f, 0.0f, 0.25f, 0.0f, 0.0f, 0.30000001192092896f, 0.25f, 0.0f, 0.0f, 0.0f, 0.25f, 0.10000000149011612f, 0.0f, 0.0f}}, {2, {1.0f, 2.0f, 3.0f, 4.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {11.0f, 3.0f, 7.199999809265137f, 10.600000381469727f, 11.0f, 3.0f, 7.400000095367432f, 10.899999618530273f, 11.0f, 3.0f, 7.800000190734863f, 11.5f, 11.0f, 3.0f, 8.0f, 11.800000190734863f}}},
+}
+},
+}, // End of an example
+};
+return examples_nhwc_weight_as_input_float16;
+};
+
+std::vector<MixedTypedExample>& get_examples_nhwc_weight_as_input_quant8() {
+static std::vector<MixedTypedExample> examples_nhwc_weight_as_input_quant8 = {
// Begin of an example
{
.operands = {
@@ -203,8 +293,11 @@
},
}, // End of an example
};
+return examples_nhwc_weight_as_input_quant8;
+};
-std::vector<MixedTypedExample> examples_nchw = {
+std::vector<MixedTypedExample>& get_examples_nchw() {
+static std::vector<MixedTypedExample> examples_nchw = {
// Begin of an example
{
.operands = {
@@ -237,8 +330,11 @@
},
}, // End of an example
};
+return examples_nchw;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed = {
// Begin of an example
{
.operands = {
@@ -271,8 +367,48 @@
},
}, // End of an example
};
+return examples_nchw_relaxed;
+};
-std::vector<MixedTypedExample> examples_nchw_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nchw_float16() {
+static std::vector<MixedTypedExample> examples_nchw_float16 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {10.0f, 10.0f, 10.0f, 10.0f, 10.0f, 10.0f, 10.0f, 10.0f, 10.0f, 21.0f, 22.0f, 23.0f, 24.0f, 25.0f, 26.0f, 27.0f, 28.0f, 29.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {11.0f, 11.0f, 11.0f, 11.0f, 3.0f, 3.0f, 3.0f, 3.0f, 7.199999809265137f, 7.400000095367432f, 7.800000190734863f, 8.0f, 10.600000381469727f, 10.899999618530273f, 11.5f, 11.800000190734863f}}},
+}
+},
+}, // End of an example
+};
+return examples_nchw_float16;
+};
+
+std::vector<MixedTypedExample>& get_examples_nchw_quant8() {
+static std::vector<MixedTypedExample> examples_nchw_quant8 = {
// Begin of an example
{
.operands = {
@@ -305,8 +441,11 @@
},
}, // End of an example
};
+return examples_nchw_quant8;
+};
-std::vector<MixedTypedExample> examples_nchw_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nchw_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nchw_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -339,8 +478,11 @@
},
}, // End of an example
};
+return examples_nchw_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nchw_weight_as_input_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nchw_weight_as_input_relaxed() {
+static std::vector<MixedTypedExample> examples_nchw_weight_as_input_relaxed = {
// Begin of an example
{
.operands = {
@@ -373,8 +515,48 @@
},
}, // End of an example
};
+return examples_nchw_weight_as_input_relaxed;
+};
-std::vector<MixedTypedExample> examples_nchw_weight_as_input_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nchw_weight_as_input_float16() {
+static std::vector<MixedTypedExample> examples_nchw_weight_as_input_float16 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {10.0f, 10.0f, 10.0f, 10.0f, 10.0f, 10.0f, 10.0f, 10.0f, 10.0f, 21.0f, 22.0f, 23.0f, 24.0f, 25.0f, 26.0f, 27.0f, 28.0f, 29.0f}}, {1, {0.25f, 0.0f, 0.20000000298023224f, 0.0f, 0.25f, 0.0f, 0.0f, 0.30000001192092896f, 0.25f, 0.0f, 0.0f, 0.0f, 0.25f, 0.10000000149011612f, 0.0f, 0.0f}}, {2, {1.0f, 2.0f, 3.0f, 4.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {11.0f, 11.0f, 11.0f, 11.0f, 3.0f, 3.0f, 3.0f, 3.0f, 7.199999809265137f, 7.400000095367432f, 7.800000190734863f, 8.0f, 10.600000381469727f, 10.899999618530273f, 11.5f, 11.800000190734863f}}},
+}
+},
+}, // End of an example
+};
+return examples_nchw_weight_as_input_float16;
+};
+
+std::vector<MixedTypedExample>& get_examples_nchw_weight_as_input_quant8() {
+static std::vector<MixedTypedExample> examples_nchw_weight_as_input_quant8 = {
// Begin of an example
{
.operands = {
@@ -407,8 +589,11 @@
},
}, // End of an example
};
+return examples_nchw_weight_as_input_quant8;
+};
-std::vector<MixedTypedExample> examples_nhwc_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_2() {
+static std::vector<MixedTypedExample> examples_nhwc_2 = {
// Begin of an example
{
.operands = {
@@ -441,8 +626,11 @@
},
}, // End of an example
};
+return examples_nhwc_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed_2() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -475,8 +663,48 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_quant8_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_float16_2() {
+static std::vector<MixedTypedExample> examples_nhwc_float16_2 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 2.0f, 7.0f, 8.0f, 3.0f, 4.0f, 9.0f, 10.0f, 5.0f, 6.0f, 11.0f, 12.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {71.0f, -34.0f, 99.0f, -20.0f, 91.0f, -26.0f, 127.0f, -4.0f}}},
+}
+},
+}, // End of an example
+};
+return examples_nhwc_float16_2;
+};
+
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8_2() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8_2 = {
// Begin of an example
{
.operands = {
@@ -509,8 +737,11 @@
},
}, // End of an example
};
+return examples_nhwc_quant8_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_weight_as_input_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_weight_as_input_2() {
+static std::vector<MixedTypedExample> examples_nhwc_weight_as_input_2 = {
// Begin of an example
{
.operands = {
@@ -543,8 +774,11 @@
},
}, // End of an example
};
+return examples_nhwc_weight_as_input_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_weight_as_input_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_weight_as_input_relaxed_2() {
+static std::vector<MixedTypedExample> examples_nhwc_weight_as_input_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -577,8 +811,48 @@
},
}, // End of an example
};
+return examples_nhwc_weight_as_input_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_weight_as_input_quant8_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_weight_as_input_float16_2() {
+static std::vector<MixedTypedExample> examples_nhwc_weight_as_input_float16_2 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 2.0f, 7.0f, 8.0f, 3.0f, 4.0f, 9.0f, 10.0f, 5.0f, 6.0f, 11.0f, 12.0f}}, {1, {1.0f, 2.0f, 3.0f, 4.0f, -9.0f, 10.0f, -11.0f, 12.0f, 5.0f, 6.0f, 7.0f, 8.0f, 13.0f, -14.0f, 15.0f, -16.0f}}, {2, {1.0f, 2.0f, 3.0f, 4.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {71.0f, -34.0f, 99.0f, -20.0f, 91.0f, -26.0f, 127.0f, -4.0f}}},
+}
+},
+}, // End of an example
+};
+return examples_nhwc_weight_as_input_float16_2;
+};
+
+std::vector<MixedTypedExample>& get_examples_nhwc_weight_as_input_quant8_2() {
+static std::vector<MixedTypedExample> examples_nhwc_weight_as_input_quant8_2 = {
// Begin of an example
{
.operands = {
@@ -611,8 +885,11 @@
},
}, // End of an example
};
+return examples_nhwc_weight_as_input_quant8_2;
+};
-std::vector<MixedTypedExample> examples_nchw_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_2() {
+static std::vector<MixedTypedExample> examples_nchw_2 = {
// Begin of an example
{
.operands = {
@@ -645,8 +922,11 @@
},
}, // End of an example
};
+return examples_nchw_2;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed_2() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -679,8 +959,48 @@
},
}, // End of an example
};
+return examples_nchw_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_nchw_quant8_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_float16_2() {
+static std::vector<MixedTypedExample> examples_nchw_float16_2 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 7.0f, 3.0f, 9.0f, 5.0f, 11.0f, 2.0f, 8.0f, 4.0f, 10.0f, 6.0f, 12.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {71.0f, 91.0f, -34.0f, -26.0f, 99.0f, 127.0f, -20.0f, -4.0f}}},
+}
+},
+}, // End of an example
+};
+return examples_nchw_float16_2;
+};
+
+std::vector<MixedTypedExample>& get_examples_nchw_quant8_2() {
+static std::vector<MixedTypedExample> examples_nchw_quant8_2 = {
// Begin of an example
{
.operands = {
@@ -713,8 +1033,11 @@
},
}, // End of an example
};
+return examples_nchw_quant8_2;
+};
-std::vector<MixedTypedExample> examples_nchw_weight_as_input_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_weight_as_input_2() {
+static std::vector<MixedTypedExample> examples_nchw_weight_as_input_2 = {
// Begin of an example
{
.operands = {
@@ -747,8 +1070,11 @@
},
}, // End of an example
};
+return examples_nchw_weight_as_input_2;
+};
-std::vector<MixedTypedExample> examples_nchw_weight_as_input_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_weight_as_input_relaxed_2() {
+static std::vector<MixedTypedExample> examples_nchw_weight_as_input_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -781,8 +1107,48 @@
},
}, // End of an example
};
+return examples_nchw_weight_as_input_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_nchw_weight_as_input_quant8_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_weight_as_input_float16_2() {
+static std::vector<MixedTypedExample> examples_nchw_weight_as_input_float16_2 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 7.0f, 3.0f, 9.0f, 5.0f, 11.0f, 2.0f, 8.0f, 4.0f, 10.0f, 6.0f, 12.0f}}, {1, {1.0f, 2.0f, 3.0f, 4.0f, -9.0f, 10.0f, -11.0f, 12.0f, 5.0f, 6.0f, 7.0f, 8.0f, 13.0f, -14.0f, 15.0f, -16.0f}}, {2, {1.0f, 2.0f, 3.0f, 4.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {71.0f, 91.0f, -34.0f, -26.0f, 99.0f, 127.0f, -20.0f, -4.0f}}},
+}
+},
+}, // End of an example
+};
+return examples_nchw_weight_as_input_float16_2;
+};
+
+std::vector<MixedTypedExample>& get_examples_nchw_weight_as_input_quant8_2() {
+static std::vector<MixedTypedExample> examples_nchw_weight_as_input_quant8_2 = {
// Begin of an example
{
.operands = {
@@ -815,8 +1181,11 @@
},
}, // End of an example
};
+return examples_nchw_weight_as_input_quant8_2;
+};
-std::vector<MixedTypedExample> examples_large_nhwc = {
+std::vector<MixedTypedExample>& get_examples_large_nhwc() {
+static std::vector<MixedTypedExample> examples_large_nhwc = {
// Begin of an example
{
.operands = {
@@ -849,8 +1218,11 @@
},
}, // End of an example
};
+return examples_large_nhwc;
+};
-std::vector<MixedTypedExample> examples_large_nhwc_relaxed = {
+std::vector<MixedTypedExample>& get_examples_large_nhwc_relaxed() {
+static std::vector<MixedTypedExample> examples_large_nhwc_relaxed = {
// Begin of an example
{
.operands = {
@@ -883,8 +1255,48 @@
},
}, // End of an example
};
+return examples_large_nhwc_relaxed;
+};
-std::vector<MixedTypedExample> examples_large_nhwc_quant8 = {
+std::vector<MixedTypedExample>& get_examples_large_nhwc_float16() {
+static std::vector<MixedTypedExample> examples_large_nhwc_float16 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {10.0f, 21.0f, 10.0f, 22.0f, 10.0f, 23.0f, 10.0f, 24.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {110.0f, 246.0f}}},
+}
+},
+}, // End of an example
+};
+return examples_large_nhwc_float16;
+};
+
+std::vector<MixedTypedExample>& get_examples_large_nhwc_quant8() {
+static std::vector<MixedTypedExample> examples_large_nhwc_quant8 = {
// Begin of an example
{
.operands = {
@@ -917,8 +1329,11 @@
},
}, // End of an example
};
+return examples_large_nhwc_quant8;
+};
-std::vector<MixedTypedExample> examples_large_nhwc_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_large_nhwc_weight_as_input() {
+static std::vector<MixedTypedExample> examples_large_nhwc_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -951,8 +1366,11 @@
},
}, // End of an example
};
+return examples_large_nhwc_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_large_nhwc_weight_as_input_relaxed = {
+std::vector<MixedTypedExample>& get_examples_large_nhwc_weight_as_input_relaxed() {
+static std::vector<MixedTypedExample> examples_large_nhwc_weight_as_input_relaxed = {
// Begin of an example
{
.operands = {
@@ -985,8 +1403,48 @@
},
}, // End of an example
};
+return examples_large_nhwc_weight_as_input_relaxed;
+};
-std::vector<MixedTypedExample> examples_large_nhwc_weight_as_input_quant8 = {
+std::vector<MixedTypedExample>& get_examples_large_nhwc_weight_as_input_float16() {
+static std::vector<MixedTypedExample> examples_large_nhwc_weight_as_input_float16 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {10.0f, 21.0f, 10.0f, 22.0f, 10.0f, 23.0f, 10.0f, 24.0f}}, {1, {0.25f, 0.0f, 0.25f, 1.0f, 0.25f, 0.0f, 0.25f, 1.0f}}, {2, {100.0f, 200.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {110.0f, 246.0f}}},
+}
+},
+}, // End of an example
+};
+return examples_large_nhwc_weight_as_input_float16;
+};
+
+std::vector<MixedTypedExample>& get_examples_large_nhwc_weight_as_input_quant8() {
+static std::vector<MixedTypedExample> examples_large_nhwc_weight_as_input_quant8 = {
// Begin of an example
{
.operands = {
@@ -1019,8 +1477,11 @@
},
}, // End of an example
};
+return examples_large_nhwc_weight_as_input_quant8;
+};
-std::vector<MixedTypedExample> examples_large_nchw = {
+std::vector<MixedTypedExample>& get_examples_large_nchw() {
+static std::vector<MixedTypedExample> examples_large_nchw = {
// Begin of an example
{
.operands = {
@@ -1053,8 +1514,11 @@
},
}, // End of an example
};
+return examples_large_nchw;
+};
-std::vector<MixedTypedExample> examples_large_nchw_relaxed = {
+std::vector<MixedTypedExample>& get_examples_large_nchw_relaxed() {
+static std::vector<MixedTypedExample> examples_large_nchw_relaxed = {
// Begin of an example
{
.operands = {
@@ -1087,8 +1551,48 @@
},
}, // End of an example
};
+return examples_large_nchw_relaxed;
+};
-std::vector<MixedTypedExample> examples_large_nchw_quant8 = {
+std::vector<MixedTypedExample>& get_examples_large_nchw_float16() {
+static std::vector<MixedTypedExample> examples_large_nchw_float16 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {10.0f, 10.0f, 10.0f, 10.0f, 21.0f, 22.0f, 23.0f, 24.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {110.0f, 246.0f}}},
+}
+},
+}, // End of an example
+};
+return examples_large_nchw_float16;
+};
+
+std::vector<MixedTypedExample>& get_examples_large_nchw_quant8() {
+static std::vector<MixedTypedExample> examples_large_nchw_quant8 = {
// Begin of an example
{
.operands = {
@@ -1121,8 +1625,11 @@
},
}, // End of an example
};
+return examples_large_nchw_quant8;
+};
-std::vector<MixedTypedExample> examples_large_nchw_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_large_nchw_weight_as_input() {
+static std::vector<MixedTypedExample> examples_large_nchw_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -1155,8 +1662,11 @@
},
}, // End of an example
};
+return examples_large_nchw_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_large_nchw_weight_as_input_relaxed = {
+std::vector<MixedTypedExample>& get_examples_large_nchw_weight_as_input_relaxed() {
+static std::vector<MixedTypedExample> examples_large_nchw_weight_as_input_relaxed = {
// Begin of an example
{
.operands = {
@@ -1189,8 +1699,48 @@
},
}, // End of an example
};
+return examples_large_nchw_weight_as_input_relaxed;
+};
-std::vector<MixedTypedExample> examples_large_nchw_weight_as_input_quant8 = {
+std::vector<MixedTypedExample>& get_examples_large_nchw_weight_as_input_float16() {
+static std::vector<MixedTypedExample> examples_large_nchw_weight_as_input_float16 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {10.0f, 10.0f, 10.0f, 10.0f, 21.0f, 22.0f, 23.0f, 24.0f}}, {1, {0.25f, 0.0f, 0.25f, 1.0f, 0.25f, 0.0f, 0.25f, 1.0f}}, {2, {100.0f, 200.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {110.0f, 246.0f}}},
+}
+},
+}, // End of an example
+};
+return examples_large_nchw_weight_as_input_float16;
+};
+
+std::vector<MixedTypedExample>& get_examples_large_nchw_weight_as_input_quant8() {
+static std::vector<MixedTypedExample> examples_large_nchw_weight_as_input_quant8 = {
// Begin of an example
{
.operands = {
@@ -1223,8 +1773,11 @@
},
}, // End of an example
};
+return examples_large_nchw_weight_as_input_quant8;
+};
-std::vector<MixedTypedExample> examples_large_nhwc_2 = {
+std::vector<MixedTypedExample>& get_examples_large_nhwc_2() {
+static std::vector<MixedTypedExample> examples_large_nhwc_2 = {
// Begin of an example
{
.operands = {
@@ -1257,8 +1810,11 @@
},
}, // End of an example
};
+return examples_large_nhwc_2;
+};
-std::vector<MixedTypedExample> examples_large_nhwc_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_large_nhwc_relaxed_2() {
+static std::vector<MixedTypedExample> examples_large_nhwc_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -1291,8 +1847,48 @@
},
}, // End of an example
};
+return examples_large_nhwc_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_large_nhwc_quant8_2 = {
+std::vector<MixedTypedExample>& get_examples_large_nhwc_float16_2() {
+static std::vector<MixedTypedExample> examples_large_nhwc_float16_2 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {10.0f, 21.0f, 10.0f, 0.0f, 10.0f, 22.0f, 20.0f, 0.0f, 10.0f, 23.0f, 30.0f, 0.0f, 10.0f, 24.0f, 40.0f, 0.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {6010.0f, 7046.0f, 11000.0f, 9000.0f}}},
+}
+},
+}, // End of an example
+};
+return examples_large_nhwc_float16_2;
+};
+
+std::vector<MixedTypedExample>& get_examples_large_nhwc_quant8_2() {
+static std::vector<MixedTypedExample> examples_large_nhwc_quant8_2 = {
// Begin of an example
{
.operands = {
@@ -1325,8 +1921,11 @@
},
}, // End of an example
};
+return examples_large_nhwc_quant8_2;
+};
-std::vector<MixedTypedExample> examples_large_nhwc_weight_as_input_2 = {
+std::vector<MixedTypedExample>& get_examples_large_nhwc_weight_as_input_2() {
+static std::vector<MixedTypedExample> examples_large_nhwc_weight_as_input_2 = {
// Begin of an example
{
.operands = {
@@ -1359,8 +1958,11 @@
},
}, // End of an example
};
+return examples_large_nhwc_weight_as_input_2;
+};
-std::vector<MixedTypedExample> examples_large_nhwc_weight_as_input_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_large_nhwc_weight_as_input_relaxed_2() {
+static std::vector<MixedTypedExample> examples_large_nhwc_weight_as_input_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -1393,8 +1995,48 @@
},
}, // End of an example
};
+return examples_large_nhwc_weight_as_input_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_large_nhwc_weight_as_input_quant8_2 = {
+std::vector<MixedTypedExample>& get_examples_large_nhwc_weight_as_input_float16_2() {
+static std::vector<MixedTypedExample> examples_large_nhwc_weight_as_input_float16_2 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {10.0f, 21.0f, 10.0f, 0.0f, 10.0f, 22.0f, 20.0f, 0.0f, 10.0f, 23.0f, 30.0f, 0.0f, 10.0f, 24.0f, 40.0f, 0.0f}}, {1, {0.25f, 0.0f, 10.0f, 50.0f, 0.25f, 1.0f, 20.0f, 50.0f, 0.25f, 0.0f, 30.0f, 50.0f, 0.25f, 1.0f, 40.0f, 50.0f}}, {2, {6000.0f, 7000.0f, 8000.0f, 9000.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {6010.0f, 7046.0f, 11000.0f, 9000.0f}}},
+}
+},
+}, // End of an example
+};
+return examples_large_nhwc_weight_as_input_float16_2;
+};
+
+std::vector<MixedTypedExample>& get_examples_large_nhwc_weight_as_input_quant8_2() {
+static std::vector<MixedTypedExample> examples_large_nhwc_weight_as_input_quant8_2 = {
// Begin of an example
{
.operands = {
@@ -1427,8 +2069,11 @@
},
}, // End of an example
};
+return examples_large_nhwc_weight_as_input_quant8_2;
+};
-std::vector<MixedTypedExample> examples_large_nchw_2 = {
+std::vector<MixedTypedExample>& get_examples_large_nchw_2() {
+static std::vector<MixedTypedExample> examples_large_nchw_2 = {
// Begin of an example
{
.operands = {
@@ -1461,8 +2106,11 @@
},
}, // End of an example
};
+return examples_large_nchw_2;
+};
-std::vector<MixedTypedExample> examples_large_nchw_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_large_nchw_relaxed_2() {
+static std::vector<MixedTypedExample> examples_large_nchw_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -1495,8 +2143,48 @@
},
}, // End of an example
};
+return examples_large_nchw_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_large_nchw_quant8_2 = {
+std::vector<MixedTypedExample>& get_examples_large_nchw_float16_2() {
+static std::vector<MixedTypedExample> examples_large_nchw_float16_2 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {10.0f, 10.0f, 10.0f, 10.0f, 21.0f, 22.0f, 23.0f, 24.0f, 10.0f, 20.0f, 30.0f, 40.0f, 0.0f, 0.0f, 0.0f, 0.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {6010.0f, 7046.0f, 11000.0f, 9000.0f}}},
+}
+},
+}, // End of an example
+};
+return examples_large_nchw_float16_2;
+};
+
+std::vector<MixedTypedExample>& get_examples_large_nchw_quant8_2() {
+static std::vector<MixedTypedExample> examples_large_nchw_quant8_2 = {
// Begin of an example
{
.operands = {
@@ -1529,8 +2217,11 @@
},
}, // End of an example
};
+return examples_large_nchw_quant8_2;
+};
-std::vector<MixedTypedExample> examples_large_nchw_weight_as_input_2 = {
+std::vector<MixedTypedExample>& get_examples_large_nchw_weight_as_input_2() {
+static std::vector<MixedTypedExample> examples_large_nchw_weight_as_input_2 = {
// Begin of an example
{
.operands = {
@@ -1563,8 +2254,11 @@
},
}, // End of an example
};
+return examples_large_nchw_weight_as_input_2;
+};
-std::vector<MixedTypedExample> examples_large_nchw_weight_as_input_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_large_nchw_weight_as_input_relaxed_2() {
+static std::vector<MixedTypedExample> examples_large_nchw_weight_as_input_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -1597,8 +2291,48 @@
},
}, // End of an example
};
+return examples_large_nchw_weight_as_input_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_large_nchw_weight_as_input_quant8_2 = {
+std::vector<MixedTypedExample>& get_examples_large_nchw_weight_as_input_float16_2() {
+static std::vector<MixedTypedExample> examples_large_nchw_weight_as_input_float16_2 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {10.0f, 10.0f, 10.0f, 10.0f, 21.0f, 22.0f, 23.0f, 24.0f, 10.0f, 20.0f, 30.0f, 40.0f, 0.0f, 0.0f, 0.0f, 0.0f}}, {1, {0.25f, 0.0f, 10.0f, 50.0f, 0.25f, 1.0f, 20.0f, 50.0f, 0.25f, 0.0f, 30.0f, 50.0f, 0.25f, 1.0f, 40.0f, 50.0f}}, {2, {6000.0f, 7000.0f, 8000.0f, 9000.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {6010.0f, 7046.0f, 11000.0f, 9000.0f}}},
+}
+},
+}, // End of an example
+};
+return examples_large_nchw_weight_as_input_float16_2;
+};
+
+std::vector<MixedTypedExample>& get_examples_large_nchw_weight_as_input_quant8_2() {
+static std::vector<MixedTypedExample> examples_large_nchw_weight_as_input_quant8_2 = {
// Begin of an example
{
.operands = {
@@ -1631,4 +2365,6 @@
},
}, // End of an example
};
+return examples_large_nchw_weight_as_input_quant8_2;
+};
diff --git a/nn/runtime/test/generated/examples/depthwise_conv_relaxed.example.cpp b/nn/runtime/test/generated/examples/depthwise_conv_relaxed.example.cpp
index d1ed12b..d3367ca 100644
--- a/nn/runtime/test/generated/examples/depthwise_conv_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/depthwise_conv_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: depthwise_conv_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -64,4 +65,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/dequantize.example.cpp b/nn/runtime/test/generated/examples/dequantize.example.cpp
index 881e10a..82ab925 100644
--- a/nn/runtime/test/generated/examples/dequantize.example.cpp
+++ b/nn/runtime/test/generated/examples/dequantize.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: dequantize.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/dequantize_relaxed.example.cpp b/nn/runtime/test/generated/examples/dequantize_relaxed.example.cpp
index 673afcc..335a3e2 100644
--- a/nn/runtime/test/generated/examples/dequantize_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/dequantize_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: dequantize_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/div.example.cpp b/nn/runtime/test/generated/examples/div.example.cpp
index cde411f..30af7c4 100644
--- a/nn/runtime/test/generated/examples/div.example.cpp
+++ b/nn/runtime/test/generated/examples/div.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: div.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/div_broadcast_float.example.cpp b/nn/runtime/test/generated/examples/div_broadcast_float.example.cpp
index 9053168..e51d32b 100644
--- a/nn/runtime/test/generated/examples/div_broadcast_float.example.cpp
+++ b/nn/runtime/test/generated/examples/div_broadcast_float.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: div_broadcast_float.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/div_broadcast_float16.example.cpp b/nn/runtime/test/generated/examples/div_broadcast_float16.example.cpp
index 0706cae..6969aee 100644
--- a/nn/runtime/test/generated/examples/div_broadcast_float16.example.cpp
+++ b/nn/runtime/test/generated/examples/div_broadcast_float16.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: div_broadcast_float16.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/div_broadcast_float_relaxed.example.cpp b/nn/runtime/test/generated/examples/div_broadcast_float_relaxed.example.cpp
index 0ecc218..529e07e 100644
--- a/nn/runtime/test/generated/examples/div_broadcast_float_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/div_broadcast_float_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: div_broadcast_float_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/div_float16.example.cpp b/nn/runtime/test/generated/examples/div_float16.example.cpp
index 12a8fe2..c42534c 100644
--- a/nn/runtime/test/generated/examples/div_float16.example.cpp
+++ b/nn/runtime/test/generated/examples/div_float16.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: div_float16.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/div_relaxed.example.cpp b/nn/runtime/test/generated/examples/div_relaxed.example.cpp
index 3b72abc..8d7d242 100644
--- a/nn/runtime/test/generated/examples/div_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/div_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: div_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/embedding_lookup.example.cpp b/nn/runtime/test/generated/examples/embedding_lookup.example.cpp
index 120462a..61b3be2 100644
--- a/nn/runtime/test/generated/examples/embedding_lookup.example.cpp
+++ b/nn/runtime/test/generated/examples/embedding_lookup.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: embedding_lookup.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/embedding_lookup_relaxed.example.cpp b/nn/runtime/test/generated/examples/embedding_lookup_relaxed.example.cpp
index 38e58f2..98f2a5e 100644
--- a/nn/runtime/test/generated/examples/embedding_lookup_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/embedding_lookup_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: embedding_lookup_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/expand_dims.example.cpp b/nn/runtime/test/generated/examples/expand_dims.example.cpp
index d65d03a..15e4f23 100644
--- a/nn/runtime/test/generated/examples/expand_dims.example.cpp
+++ b/nn/runtime/test/generated/examples/expand_dims.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: expand_dims.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples;
+};
-std::vector<MixedTypedExample> examples_relaxed = {
+std::vector<MixedTypedExample>& get_examples_relaxed() {
+static std::vector<MixedTypedExample> examples_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,11 @@
},
}, // End of an example
};
+return examples_relaxed;
+};
-std::vector<MixedTypedExample> examples_quant8 = {
+std::vector<MixedTypedExample>& get_examples_quant8() {
+static std::vector<MixedTypedExample> examples_quant8 = {
// Begin of an example
{
.operands = {
@@ -101,8 +108,11 @@
},
}, // End of an example
};
+return examples_quant8;
+};
-std::vector<MixedTypedExample> examples_int32 = {
+std::vector<MixedTypedExample>& get_examples_int32() {
+static std::vector<MixedTypedExample> examples_int32 = {
// Begin of an example
{
.operands = {
@@ -135,8 +145,11 @@
},
}, // End of an example
};
+return examples_int32;
+};
-std::vector<MixedTypedExample> examples_2 = {
+std::vector<MixedTypedExample>& get_examples_2() {
+static std::vector<MixedTypedExample> examples_2 = {
// Begin of an example
{
.operands = {
@@ -169,8 +182,11 @@
},
}, // End of an example
};
+return examples_2;
+};
-std::vector<MixedTypedExample> examples_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_2() {
+static std::vector<MixedTypedExample> examples_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -203,8 +219,11 @@
},
}, // End of an example
};
+return examples_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_quant8_2 = {
+std::vector<MixedTypedExample>& get_examples_quant8_2() {
+static std::vector<MixedTypedExample> examples_quant8_2 = {
// Begin of an example
{
.operands = {
@@ -237,8 +256,11 @@
},
}, // End of an example
};
+return examples_quant8_2;
+};
-std::vector<MixedTypedExample> examples_int32_2 = {
+std::vector<MixedTypedExample>& get_examples_int32_2() {
+static std::vector<MixedTypedExample> examples_int32_2 = {
// Begin of an example
{
.operands = {
@@ -271,8 +293,11 @@
},
}, // End of an example
};
+return examples_int32_2;
+};
-std::vector<MixedTypedExample> examples_3 = {
+std::vector<MixedTypedExample>& get_examples_3() {
+static std::vector<MixedTypedExample> examples_3 = {
// Begin of an example
{
.operands = {
@@ -305,8 +330,11 @@
},
}, // End of an example
};
+return examples_3;
+};
-std::vector<MixedTypedExample> examples_relaxed_3 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_3() {
+static std::vector<MixedTypedExample> examples_relaxed_3 = {
// Begin of an example
{
.operands = {
@@ -339,8 +367,11 @@
},
}, // End of an example
};
+return examples_relaxed_3;
+};
-std::vector<MixedTypedExample> examples_quant8_3 = {
+std::vector<MixedTypedExample>& get_examples_quant8_3() {
+static std::vector<MixedTypedExample> examples_quant8_3 = {
// Begin of an example
{
.operands = {
@@ -373,8 +404,11 @@
},
}, // End of an example
};
+return examples_quant8_3;
+};
-std::vector<MixedTypedExample> examples_int32_3 = {
+std::vector<MixedTypedExample>& get_examples_int32_3() {
+static std::vector<MixedTypedExample> examples_int32_3 = {
// Begin of an example
{
.operands = {
@@ -407,8 +441,11 @@
},
}, // End of an example
};
+return examples_int32_3;
+};
-std::vector<MixedTypedExample> examples_4 = {
+std::vector<MixedTypedExample>& get_examples_4() {
+static std::vector<MixedTypedExample> examples_4 = {
// Begin of an example
{
.operands = {
@@ -441,8 +478,11 @@
},
}, // End of an example
};
+return examples_4;
+};
-std::vector<MixedTypedExample> examples_relaxed_4 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_4() {
+static std::vector<MixedTypedExample> examples_relaxed_4 = {
// Begin of an example
{
.operands = {
@@ -475,8 +515,11 @@
},
}, // End of an example
};
+return examples_relaxed_4;
+};
-std::vector<MixedTypedExample> examples_quant8_4 = {
+std::vector<MixedTypedExample>& get_examples_quant8_4() {
+static std::vector<MixedTypedExample> examples_quant8_4 = {
// Begin of an example
{
.operands = {
@@ -509,8 +552,11 @@
},
}, // End of an example
};
+return examples_quant8_4;
+};
-std::vector<MixedTypedExample> examples_int32_4 = {
+std::vector<MixedTypedExample>& get_examples_int32_4() {
+static std::vector<MixedTypedExample> examples_int32_4 = {
// Begin of an example
{
.operands = {
@@ -543,4 +589,6 @@
},
}, // End of an example
};
+return examples_int32_4;
+};
diff --git a/nn/runtime/test/generated/examples/floor.example.cpp b/nn/runtime/test/generated/examples/floor.example.cpp
index f5d6534..06c3c24 100644
--- a/nn/runtime/test/generated/examples/floor.example.cpp
+++ b/nn/runtime/test/generated/examples/floor.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: floor.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/floor_relaxed.example.cpp b/nn/runtime/test/generated/examples/floor_relaxed.example.cpp
index 0b604da..3b6083e 100644
--- a/nn/runtime/test/generated/examples/floor_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/floor_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: floor_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/fully_connected_float.example.cpp b/nn/runtime/test/generated/examples/fully_connected_float.example.cpp
index f29bb26..32f12fe 100644
--- a/nn/runtime/test/generated/examples/fully_connected_float.example.cpp
+++ b/nn/runtime/test/generated/examples/fully_connected_float.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: fully_connected_float.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/fully_connected_float_2.example.cpp b/nn/runtime/test/generated/examples/fully_connected_float_2.example.cpp
index a66638a..44b7043 100644
--- a/nn/runtime/test/generated/examples/fully_connected_float_2.example.cpp
+++ b/nn/runtime/test/generated/examples/fully_connected_float_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: fully_connected_float_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/fully_connected_float_2_relaxed.example.cpp b/nn/runtime/test/generated/examples/fully_connected_float_2_relaxed.example.cpp
index 2e5a067..3b121f6 100644
--- a/nn/runtime/test/generated/examples/fully_connected_float_2_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/fully_connected_float_2_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: fully_connected_float_2_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/fully_connected_float_3.example.cpp b/nn/runtime/test/generated/examples/fully_connected_float_3.example.cpp
index d9288d3..49d09ab 100644
--- a/nn/runtime/test/generated/examples/fully_connected_float_3.example.cpp
+++ b/nn/runtime/test/generated/examples/fully_connected_float_3.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: fully_connected_float_3.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/fully_connected_float_4d_simple.example.cpp b/nn/runtime/test/generated/examples/fully_connected_float_4d_simple.example.cpp
index 828c7ee..1b6d494 100644
--- a/nn/runtime/test/generated/examples/fully_connected_float_4d_simple.example.cpp
+++ b/nn/runtime/test/generated/examples/fully_connected_float_4d_simple.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: fully_connected_float_4d_simple.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/fully_connected_float_4d_simple_relaxed.example.cpp b/nn/runtime/test/generated/examples/fully_connected_float_4d_simple_relaxed.example.cpp
index 5c3e201..6e1f840 100644
--- a/nn/runtime/test/generated/examples/fully_connected_float_4d_simple_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/fully_connected_float_4d_simple_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: fully_connected_float_4d_simple_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/fully_connected_float_large.example.cpp b/nn/runtime/test/generated/examples/fully_connected_float_large.example.cpp
index e27c23d..05fa62f 100644
--- a/nn/runtime/test/generated/examples/fully_connected_float_large.example.cpp
+++ b/nn/runtime/test/generated/examples/fully_connected_float_large.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: fully_connected_float_large.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/fully_connected_float_large_relaxed.example.cpp b/nn/runtime/test/generated/examples/fully_connected_float_large_relaxed.example.cpp
index fc4bc62..162dde2 100644
--- a/nn/runtime/test/generated/examples/fully_connected_float_large_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/fully_connected_float_large_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: fully_connected_float_large_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/fully_connected_float_large_weights_as_inputs.example.cpp b/nn/runtime/test/generated/examples/fully_connected_float_large_weights_as_inputs.example.cpp
index 5194e62..9f3f7d9 100644
--- a/nn/runtime/test/generated/examples/fully_connected_float_large_weights_as_inputs.example.cpp
+++ b/nn/runtime/test/generated/examples/fully_connected_float_large_weights_as_inputs.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: fully_connected_float_large_weights_as_inputs.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/fully_connected_float_large_weights_as_inputs_relaxed.example.cpp b/nn/runtime/test/generated/examples/fully_connected_float_large_weights_as_inputs_relaxed.example.cpp
index 4dcc76f..c2efb4a 100644
--- a/nn/runtime/test/generated/examples/fully_connected_float_large_weights_as_inputs_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/fully_connected_float_large_weights_as_inputs_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: fully_connected_float_large_weights_as_inputs_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/fully_connected_float_relaxed.example.cpp b/nn/runtime/test/generated/examples/fully_connected_float_relaxed.example.cpp
index 332a42b..1041c62 100644
--- a/nn/runtime/test/generated/examples/fully_connected_float_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/fully_connected_float_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: fully_connected_float_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/fully_connected_float_weights_as_inputs.example.cpp b/nn/runtime/test/generated/examples/fully_connected_float_weights_as_inputs.example.cpp
index 5462023..7b15833 100644
--- a/nn/runtime/test/generated/examples/fully_connected_float_weights_as_inputs.example.cpp
+++ b/nn/runtime/test/generated/examples/fully_connected_float_weights_as_inputs.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: fully_connected_float_weights_as_inputs.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/fully_connected_float_weights_as_inputs_relaxed.example.cpp b/nn/runtime/test/generated/examples/fully_connected_float_weights_as_inputs_relaxed.example.cpp
index 1bcbee2..8741317 100644
--- a/nn/runtime/test/generated/examples/fully_connected_float_weights_as_inputs_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/fully_connected_float_weights_as_inputs_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: fully_connected_float_weights_as_inputs_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/fully_connected_quant8.example.cpp b/nn/runtime/test/generated/examples/fully_connected_quant8.example.cpp
index bcdd63f..f5b5082 100644
--- a/nn/runtime/test/generated/examples/fully_connected_quant8.example.cpp
+++ b/nn/runtime/test/generated/examples/fully_connected_quant8.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: fully_connected_quant8.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/fully_connected_quant8_2.example.cpp b/nn/runtime/test/generated/examples/fully_connected_quant8_2.example.cpp
index 494894b..4d19354 100644
--- a/nn/runtime/test/generated/examples/fully_connected_quant8_2.example.cpp
+++ b/nn/runtime/test/generated/examples/fully_connected_quant8_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: fully_connected_quant8_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/fully_connected_quant8_large.example.cpp b/nn/runtime/test/generated/examples/fully_connected_quant8_large.example.cpp
index eff59aa..3b0f196 100644
--- a/nn/runtime/test/generated/examples/fully_connected_quant8_large.example.cpp
+++ b/nn/runtime/test/generated/examples/fully_connected_quant8_large.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: fully_connected_quant8_large.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/fully_connected_quant8_large_weights_as_inputs.example.cpp b/nn/runtime/test/generated/examples/fully_connected_quant8_large_weights_as_inputs.example.cpp
index 1f3bf2a..769df6f 100644
--- a/nn/runtime/test/generated/examples/fully_connected_quant8_large_weights_as_inputs.example.cpp
+++ b/nn/runtime/test/generated/examples/fully_connected_quant8_large_weights_as_inputs.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: fully_connected_quant8_large_weights_as_inputs.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/fully_connected_quant8_weights_as_inputs.example.cpp b/nn/runtime/test/generated/examples/fully_connected_quant8_weights_as_inputs.example.cpp
index 0951819..590918b 100644
--- a/nn/runtime/test/generated/examples/fully_connected_quant8_weights_as_inputs.example.cpp
+++ b/nn/runtime/test/generated/examples/fully_connected_quant8_weights_as_inputs.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: fully_connected_quant8_weights_as_inputs.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/gather.example.cpp b/nn/runtime/test/generated/examples/gather.example.cpp
index 92fa865..6ea30b3 100644
--- a/nn/runtime/test/generated/examples/gather.example.cpp
+++ b/nn/runtime/test/generated/examples/gather.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: gather.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples;
+};
-std::vector<MixedTypedExample> examples_relaxed = {
+std::vector<MixedTypedExample>& get_examples_relaxed() {
+static std::vector<MixedTypedExample> examples_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,11 @@
},
}, // End of an example
};
+return examples_relaxed;
+};
-std::vector<MixedTypedExample> examples_quant8 = {
+std::vector<MixedTypedExample>& get_examples_quant8() {
+static std::vector<MixedTypedExample> examples_quant8 = {
// Begin of an example
{
.operands = {
@@ -101,8 +108,11 @@
},
}, // End of an example
};
+return examples_quant8;
+};
-std::vector<MixedTypedExample> examples_int32 = {
+std::vector<MixedTypedExample>& get_examples_int32() {
+static std::vector<MixedTypedExample> examples_int32 = {
// Begin of an example
{
.operands = {
@@ -135,8 +145,11 @@
},
}, // End of an example
};
+return examples_int32;
+};
-std::vector<MixedTypedExample> examples_float16 = {
+std::vector<MixedTypedExample>& get_examples_float16() {
+static std::vector<MixedTypedExample> examples_float16 = {
// Begin of an example
{
.operands = {
@@ -169,8 +182,11 @@
},
}, // End of an example
};
+return examples_float16;
+};
-std::vector<MixedTypedExample> examples_2 = {
+std::vector<MixedTypedExample>& get_examples_2() {
+static std::vector<MixedTypedExample> examples_2 = {
// Begin of an example
{
.operands = {
@@ -203,8 +219,11 @@
},
}, // End of an example
};
+return examples_2;
+};
-std::vector<MixedTypedExample> examples_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_2() {
+static std::vector<MixedTypedExample> examples_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -237,8 +256,11 @@
},
}, // End of an example
};
+return examples_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_quant8_2 = {
+std::vector<MixedTypedExample>& get_examples_quant8_2() {
+static std::vector<MixedTypedExample> examples_quant8_2 = {
// Begin of an example
{
.operands = {
@@ -271,8 +293,11 @@
},
}, // End of an example
};
+return examples_quant8_2;
+};
-std::vector<MixedTypedExample> examples_int32_2 = {
+std::vector<MixedTypedExample>& get_examples_int32_2() {
+static std::vector<MixedTypedExample> examples_int32_2 = {
// Begin of an example
{
.operands = {
@@ -305,8 +330,11 @@
},
}, // End of an example
};
+return examples_int32_2;
+};
-std::vector<MixedTypedExample> examples_float16_2 = {
+std::vector<MixedTypedExample>& get_examples_float16_2() {
+static std::vector<MixedTypedExample> examples_float16_2 = {
// Begin of an example
{
.operands = {
@@ -339,8 +367,11 @@
},
}, // End of an example
};
+return examples_float16_2;
+};
-std::vector<MixedTypedExample> examples_3 = {
+std::vector<MixedTypedExample>& get_examples_3() {
+static std::vector<MixedTypedExample> examples_3 = {
// Begin of an example
{
.operands = {
@@ -373,8 +404,11 @@
},
}, // End of an example
};
+return examples_3;
+};
-std::vector<MixedTypedExample> examples_relaxed_3 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_3() {
+static std::vector<MixedTypedExample> examples_relaxed_3 = {
// Begin of an example
{
.operands = {
@@ -407,8 +441,11 @@
},
}, // End of an example
};
+return examples_relaxed_3;
+};
-std::vector<MixedTypedExample> examples_quant8_3 = {
+std::vector<MixedTypedExample>& get_examples_quant8_3() {
+static std::vector<MixedTypedExample> examples_quant8_3 = {
// Begin of an example
{
.operands = {
@@ -441,8 +478,11 @@
},
}, // End of an example
};
+return examples_quant8_3;
+};
-std::vector<MixedTypedExample> examples_int32_3 = {
+std::vector<MixedTypedExample>& get_examples_int32_3() {
+static std::vector<MixedTypedExample> examples_int32_3 = {
// Begin of an example
{
.operands = {
@@ -475,8 +515,11 @@
},
}, // End of an example
};
+return examples_int32_3;
+};
-std::vector<MixedTypedExample> examples_float16_3 = {
+std::vector<MixedTypedExample>& get_examples_float16_3() {
+static std::vector<MixedTypedExample> examples_float16_3 = {
// Begin of an example
{
.operands = {
@@ -509,8 +552,11 @@
},
}, // End of an example
};
+return examples_float16_3;
+};
-std::vector<MixedTypedExample> examples_4 = {
+std::vector<MixedTypedExample>& get_examples_4() {
+static std::vector<MixedTypedExample> examples_4 = {
// Begin of an example
{
.operands = {
@@ -543,8 +589,11 @@
},
}, // End of an example
};
+return examples_4;
+};
-std::vector<MixedTypedExample> examples_relaxed_4 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_4() {
+static std::vector<MixedTypedExample> examples_relaxed_4 = {
// Begin of an example
{
.operands = {
@@ -577,8 +626,11 @@
},
}, // End of an example
};
+return examples_relaxed_4;
+};
-std::vector<MixedTypedExample> examples_quant8_4 = {
+std::vector<MixedTypedExample>& get_examples_quant8_4() {
+static std::vector<MixedTypedExample> examples_quant8_4 = {
// Begin of an example
{
.operands = {
@@ -611,8 +663,11 @@
},
}, // End of an example
};
+return examples_quant8_4;
+};
-std::vector<MixedTypedExample> examples_int32_4 = {
+std::vector<MixedTypedExample>& get_examples_int32_4() {
+static std::vector<MixedTypedExample> examples_int32_4 = {
// Begin of an example
{
.operands = {
@@ -645,8 +700,11 @@
},
}, // End of an example
};
+return examples_int32_4;
+};
-std::vector<MixedTypedExample> examples_float16_4 = {
+std::vector<MixedTypedExample>& get_examples_float16_4() {
+static std::vector<MixedTypedExample> examples_float16_4 = {
// Begin of an example
{
.operands = {
@@ -679,8 +737,11 @@
},
}, // End of an example
};
+return examples_float16_4;
+};
-std::vector<MixedTypedExample> examples_5 = {
+std::vector<MixedTypedExample>& get_examples_5() {
+static std::vector<MixedTypedExample> examples_5 = {
// Begin of an example
{
.operands = {
@@ -713,8 +774,11 @@
},
}, // End of an example
};
+return examples_5;
+};
-std::vector<MixedTypedExample> examples_relaxed_5 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_5() {
+static std::vector<MixedTypedExample> examples_relaxed_5 = {
// Begin of an example
{
.operands = {
@@ -747,8 +811,11 @@
},
}, // End of an example
};
+return examples_relaxed_5;
+};
-std::vector<MixedTypedExample> examples_quant8_5 = {
+std::vector<MixedTypedExample>& get_examples_quant8_5() {
+static std::vector<MixedTypedExample> examples_quant8_5 = {
// Begin of an example
{
.operands = {
@@ -781,8 +848,11 @@
},
}, // End of an example
};
+return examples_quant8_5;
+};
-std::vector<MixedTypedExample> examples_int32_5 = {
+std::vector<MixedTypedExample>& get_examples_int32_5() {
+static std::vector<MixedTypedExample> examples_int32_5 = {
// Begin of an example
{
.operands = {
@@ -815,8 +885,11 @@
},
}, // End of an example
};
+return examples_int32_5;
+};
-std::vector<MixedTypedExample> examples_float16_5 = {
+std::vector<MixedTypedExample>& get_examples_float16_5() {
+static std::vector<MixedTypedExample> examples_float16_5 = {
// Begin of an example
{
.operands = {
@@ -849,8 +922,11 @@
},
}, // End of an example
};
+return examples_float16_5;
+};
-std::vector<MixedTypedExample> examples_6 = {
+std::vector<MixedTypedExample>& get_examples_6() {
+static std::vector<MixedTypedExample> examples_6 = {
// Begin of an example
{
.operands = {
@@ -883,8 +959,11 @@
},
}, // End of an example
};
+return examples_6;
+};
-std::vector<MixedTypedExample> examples_relaxed_6 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_6() {
+static std::vector<MixedTypedExample> examples_relaxed_6 = {
// Begin of an example
{
.operands = {
@@ -917,8 +996,11 @@
},
}, // End of an example
};
+return examples_relaxed_6;
+};
-std::vector<MixedTypedExample> examples_quant8_6 = {
+std::vector<MixedTypedExample>& get_examples_quant8_6() {
+static std::vector<MixedTypedExample> examples_quant8_6 = {
// Begin of an example
{
.operands = {
@@ -951,8 +1033,11 @@
},
}, // End of an example
};
+return examples_quant8_6;
+};
-std::vector<MixedTypedExample> examples_int32_6 = {
+std::vector<MixedTypedExample>& get_examples_int32_6() {
+static std::vector<MixedTypedExample> examples_int32_6 = {
// Begin of an example
{
.operands = {
@@ -985,8 +1070,11 @@
},
}, // End of an example
};
+return examples_int32_6;
+};
-std::vector<MixedTypedExample> examples_float16_6 = {
+std::vector<MixedTypedExample>& get_examples_float16_6() {
+static std::vector<MixedTypedExample> examples_float16_6 = {
// Begin of an example
{
.operands = {
@@ -1019,8 +1107,11 @@
},
}, // End of an example
};
+return examples_float16_6;
+};
-std::vector<MixedTypedExample> examples_7 = {
+std::vector<MixedTypedExample>& get_examples_7() {
+static std::vector<MixedTypedExample> examples_7 = {
// Begin of an example
{
.operands = {
@@ -1053,8 +1144,11 @@
},
}, // End of an example
};
+return examples_7;
+};
-std::vector<MixedTypedExample> examples_relaxed_7 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_7() {
+static std::vector<MixedTypedExample> examples_relaxed_7 = {
// Begin of an example
{
.operands = {
@@ -1087,8 +1181,11 @@
},
}, // End of an example
};
+return examples_relaxed_7;
+};
-std::vector<MixedTypedExample> examples_quant8_7 = {
+std::vector<MixedTypedExample>& get_examples_quant8_7() {
+static std::vector<MixedTypedExample> examples_quant8_7 = {
// Begin of an example
{
.operands = {
@@ -1121,8 +1218,11 @@
},
}, // End of an example
};
+return examples_quant8_7;
+};
-std::vector<MixedTypedExample> examples_int32_7 = {
+std::vector<MixedTypedExample>& get_examples_int32_7() {
+static std::vector<MixedTypedExample> examples_int32_7 = {
// Begin of an example
{
.operands = {
@@ -1155,8 +1255,11 @@
},
}, // End of an example
};
+return examples_int32_7;
+};
-std::vector<MixedTypedExample> examples_float16_7 = {
+std::vector<MixedTypedExample>& get_examples_float16_7() {
+static std::vector<MixedTypedExample> examples_float16_7 = {
// Begin of an example
{
.operands = {
@@ -1189,8 +1292,11 @@
},
}, // End of an example
};
+return examples_float16_7;
+};
-std::vector<MixedTypedExample> examples_8 = {
+std::vector<MixedTypedExample>& get_examples_8() {
+static std::vector<MixedTypedExample> examples_8 = {
// Begin of an example
{
.operands = {
@@ -1223,8 +1329,11 @@
},
}, // End of an example
};
+return examples_8;
+};
-std::vector<MixedTypedExample> examples_relaxed_8 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_8() {
+static std::vector<MixedTypedExample> examples_relaxed_8 = {
// Begin of an example
{
.operands = {
@@ -1257,8 +1366,11 @@
},
}, // End of an example
};
+return examples_relaxed_8;
+};
-std::vector<MixedTypedExample> examples_quant8_8 = {
+std::vector<MixedTypedExample>& get_examples_quant8_8() {
+static std::vector<MixedTypedExample> examples_quant8_8 = {
// Begin of an example
{
.operands = {
@@ -1291,8 +1403,11 @@
},
}, // End of an example
};
+return examples_quant8_8;
+};
-std::vector<MixedTypedExample> examples_int32_8 = {
+std::vector<MixedTypedExample>& get_examples_int32_8() {
+static std::vector<MixedTypedExample> examples_int32_8 = {
// Begin of an example
{
.operands = {
@@ -1325,8 +1440,11 @@
},
}, // End of an example
};
+return examples_int32_8;
+};
-std::vector<MixedTypedExample> examples_float16_8 = {
+std::vector<MixedTypedExample>& get_examples_float16_8() {
+static std::vector<MixedTypedExample> examples_float16_8 = {
// Begin of an example
{
.operands = {
@@ -1359,4 +1477,6 @@
},
}, // End of an example
};
+return examples_float16_8;
+};
diff --git a/nn/runtime/test/generated/examples/gather_higher_rank.example.cpp b/nn/runtime/test/generated/examples/gather_higher_rank.example.cpp
index 3f40182..7e3e09c 100644
--- a/nn/runtime/test/generated/examples/gather_higher_rank.example.cpp
+++ b/nn/runtime/test/generated/examples/gather_higher_rank.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: gather_higher_rank.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples;
+};
-std::vector<MixedTypedExample> examples_relaxed = {
+std::vector<MixedTypedExample>& get_examples_relaxed() {
+static std::vector<MixedTypedExample> examples_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,11 @@
},
}, // End of an example
};
+return examples_relaxed;
+};
-std::vector<MixedTypedExample> examples_quant8 = {
+std::vector<MixedTypedExample>& get_examples_quant8() {
+static std::vector<MixedTypedExample> examples_quant8 = {
// Begin of an example
{
.operands = {
@@ -101,8 +108,11 @@
},
}, // End of an example
};
+return examples_quant8;
+};
-std::vector<MixedTypedExample> examples_int32 = {
+std::vector<MixedTypedExample>& get_examples_int32() {
+static std::vector<MixedTypedExample> examples_int32 = {
// Begin of an example
{
.operands = {
@@ -135,4 +145,6 @@
},
}, // End of an example
};
+return examples_int32;
+};
diff --git a/nn/runtime/test/generated/examples/grouped_conv2d.example.cpp b/nn/runtime/test/generated/examples/grouped_conv2d.example.cpp
index 48ba2fe..050fb5d 100644
--- a/nn/runtime/test/generated/examples/grouped_conv2d.example.cpp
+++ b/nn/runtime/test/generated/examples/grouped_conv2d.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: grouped_conv2d.mod.py). Do not edit
-std::vector<MixedTypedExample> examples_nhwc_none = {
+std::vector<MixedTypedExample>& get_examples_nhwc_none() {
+static std::vector<MixedTypedExample> examples_nhwc_none = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples_nhwc_none;
+};
-std::vector<MixedTypedExample> examples_nhwc_none_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nhwc_none_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nhwc_none_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,11 @@
},
}, // End of an example
};
+return examples_nhwc_none_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nhwc_none_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nhwc_none_relaxed() {
+static std::vector<MixedTypedExample> examples_nhwc_none_relaxed = {
// Begin of an example
{
.operands = {
@@ -101,8 +108,11 @@
},
}, // End of an example
};
+return examples_nhwc_none_relaxed;
+};
-std::vector<MixedTypedExample> examples_nhwc_none_relaxed_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nhwc_none_relaxed_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nhwc_none_relaxed_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -135,8 +145,11 @@
},
}, // End of an example
};
+return examples_nhwc_none_relaxed_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nhwc_none_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_none_quant8() {
+static std::vector<MixedTypedExample> examples_nhwc_none_quant8 = {
// Begin of an example
{
.operands = {
@@ -169,8 +182,11 @@
},
}, // End of an example
};
+return examples_nhwc_none_quant8;
+};
-std::vector<MixedTypedExample> examples_nhwc_none_quant8_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nhwc_none_quant8_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nhwc_none_quant8_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -203,8 +219,11 @@
},
}, // End of an example
};
+return examples_nhwc_none_quant8_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nhwc_relu = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relu() {
+static std::vector<MixedTypedExample> examples_nhwc_relu = {
// Begin of an example
{
.operands = {
@@ -237,8 +256,11 @@
},
}, // End of an example
};
+return examples_nhwc_relu;
+};
-std::vector<MixedTypedExample> examples_nhwc_relu_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relu_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nhwc_relu_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -271,8 +293,11 @@
},
}, // End of an example
};
+return examples_nhwc_relu_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nhwc_relu_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relu_relaxed() {
+static std::vector<MixedTypedExample> examples_nhwc_relu_relaxed = {
// Begin of an example
{
.operands = {
@@ -305,8 +330,11 @@
},
}, // End of an example
};
+return examples_nhwc_relu_relaxed;
+};
-std::vector<MixedTypedExample> examples_nhwc_relu_relaxed_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relu_relaxed_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nhwc_relu_relaxed_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -339,8 +367,11 @@
},
}, // End of an example
};
+return examples_nhwc_relu_relaxed_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nhwc_relu_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relu_quant8() {
+static std::vector<MixedTypedExample> examples_nhwc_relu_quant8 = {
// Begin of an example
{
.operands = {
@@ -373,8 +404,11 @@
},
}, // End of an example
};
+return examples_nhwc_relu_quant8;
+};
-std::vector<MixedTypedExample> examples_nhwc_relu_quant8_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relu_quant8_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nhwc_relu_quant8_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -407,8 +441,11 @@
},
}, // End of an example
};
+return examples_nhwc_relu_quant8_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nhwc_relu1 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relu1() {
+static std::vector<MixedTypedExample> examples_nhwc_relu1 = {
// Begin of an example
{
.operands = {
@@ -441,8 +478,11 @@
},
}, // End of an example
};
+return examples_nhwc_relu1;
+};
-std::vector<MixedTypedExample> examples_nhwc_relu1_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relu1_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nhwc_relu1_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -475,8 +515,11 @@
},
}, // End of an example
};
+return examples_nhwc_relu1_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nhwc_relu1_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relu1_relaxed() {
+static std::vector<MixedTypedExample> examples_nhwc_relu1_relaxed = {
// Begin of an example
{
.operands = {
@@ -509,8 +552,11 @@
},
}, // End of an example
};
+return examples_nhwc_relu1_relaxed;
+};
-std::vector<MixedTypedExample> examples_nhwc_relu1_relaxed_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relu1_relaxed_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nhwc_relu1_relaxed_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -543,8 +589,11 @@
},
}, // End of an example
};
+return examples_nhwc_relu1_relaxed_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nhwc_relu1_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relu1_quant8() {
+static std::vector<MixedTypedExample> examples_nhwc_relu1_quant8 = {
// Begin of an example
{
.operands = {
@@ -577,8 +626,11 @@
},
}, // End of an example
};
+return examples_nhwc_relu1_quant8;
+};
-std::vector<MixedTypedExample> examples_nhwc_relu1_quant8_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relu1_quant8_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nhwc_relu1_quant8_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -611,8 +663,11 @@
},
}, // End of an example
};
+return examples_nhwc_relu1_quant8_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nhwc_relu6 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relu6() {
+static std::vector<MixedTypedExample> examples_nhwc_relu6 = {
// Begin of an example
{
.operands = {
@@ -645,8 +700,11 @@
},
}, // End of an example
};
+return examples_nhwc_relu6;
+};
-std::vector<MixedTypedExample> examples_nhwc_relu6_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relu6_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nhwc_relu6_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -679,8 +737,11 @@
},
}, // End of an example
};
+return examples_nhwc_relu6_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nhwc_relu6_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relu6_relaxed() {
+static std::vector<MixedTypedExample> examples_nhwc_relu6_relaxed = {
// Begin of an example
{
.operands = {
@@ -713,8 +774,11 @@
},
}, // End of an example
};
+return examples_nhwc_relu6_relaxed;
+};
-std::vector<MixedTypedExample> examples_nhwc_relu6_relaxed_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relu6_relaxed_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nhwc_relu6_relaxed_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -747,8 +811,11 @@
},
}, // End of an example
};
+return examples_nhwc_relu6_relaxed_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nhwc_relu6_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relu6_quant8() {
+static std::vector<MixedTypedExample> examples_nhwc_relu6_quant8 = {
// Begin of an example
{
.operands = {
@@ -781,8 +848,11 @@
},
}, // End of an example
};
+return examples_nhwc_relu6_quant8;
+};
-std::vector<MixedTypedExample> examples_nhwc_relu6_quant8_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relu6_quant8_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nhwc_relu6_quant8_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -815,8 +885,11 @@
},
}, // End of an example
};
+return examples_nhwc_relu6_quant8_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nchw_none = {
+std::vector<MixedTypedExample>& get_examples_nchw_none() {
+static std::vector<MixedTypedExample> examples_nchw_none = {
// Begin of an example
{
.operands = {
@@ -849,8 +922,11 @@
},
}, // End of an example
};
+return examples_nchw_none;
+};
-std::vector<MixedTypedExample> examples_nchw_none_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nchw_none_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nchw_none_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -883,8 +959,11 @@
},
}, // End of an example
};
+return examples_nchw_none_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nchw_none_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nchw_none_relaxed() {
+static std::vector<MixedTypedExample> examples_nchw_none_relaxed = {
// Begin of an example
{
.operands = {
@@ -917,8 +996,11 @@
},
}, // End of an example
};
+return examples_nchw_none_relaxed;
+};
-std::vector<MixedTypedExample> examples_nchw_none_relaxed_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nchw_none_relaxed_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nchw_none_relaxed_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -951,8 +1033,11 @@
},
}, // End of an example
};
+return examples_nchw_none_relaxed_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nchw_none_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nchw_none_quant8() {
+static std::vector<MixedTypedExample> examples_nchw_none_quant8 = {
// Begin of an example
{
.operands = {
@@ -985,8 +1070,11 @@
},
}, // End of an example
};
+return examples_nchw_none_quant8;
+};
-std::vector<MixedTypedExample> examples_nchw_none_quant8_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nchw_none_quant8_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nchw_none_quant8_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -1019,8 +1107,11 @@
},
}, // End of an example
};
+return examples_nchw_none_quant8_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nchw_relu = {
+std::vector<MixedTypedExample>& get_examples_nchw_relu() {
+static std::vector<MixedTypedExample> examples_nchw_relu = {
// Begin of an example
{
.operands = {
@@ -1053,8 +1144,11 @@
},
}, // End of an example
};
+return examples_nchw_relu;
+};
-std::vector<MixedTypedExample> examples_nchw_relu_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nchw_relu_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nchw_relu_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -1087,8 +1181,11 @@
},
}, // End of an example
};
+return examples_nchw_relu_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nchw_relu_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nchw_relu_relaxed() {
+static std::vector<MixedTypedExample> examples_nchw_relu_relaxed = {
// Begin of an example
{
.operands = {
@@ -1121,8 +1218,11 @@
},
}, // End of an example
};
+return examples_nchw_relu_relaxed;
+};
-std::vector<MixedTypedExample> examples_nchw_relu_relaxed_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nchw_relu_relaxed_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nchw_relu_relaxed_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -1155,8 +1255,11 @@
},
}, // End of an example
};
+return examples_nchw_relu_relaxed_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nchw_relu_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relu_quant8() {
+static std::vector<MixedTypedExample> examples_nchw_relu_quant8 = {
// Begin of an example
{
.operands = {
@@ -1189,8 +1292,11 @@
},
}, // End of an example
};
+return examples_nchw_relu_quant8;
+};
-std::vector<MixedTypedExample> examples_nchw_relu_quant8_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nchw_relu_quant8_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nchw_relu_quant8_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -1223,8 +1329,11 @@
},
}, // End of an example
};
+return examples_nchw_relu_quant8_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nchw_relu1 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relu1() {
+static std::vector<MixedTypedExample> examples_nchw_relu1 = {
// Begin of an example
{
.operands = {
@@ -1257,8 +1366,11 @@
},
}, // End of an example
};
+return examples_nchw_relu1;
+};
-std::vector<MixedTypedExample> examples_nchw_relu1_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nchw_relu1_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nchw_relu1_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -1291,8 +1403,11 @@
},
}, // End of an example
};
+return examples_nchw_relu1_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nchw_relu1_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nchw_relu1_relaxed() {
+static std::vector<MixedTypedExample> examples_nchw_relu1_relaxed = {
// Begin of an example
{
.operands = {
@@ -1325,8 +1440,11 @@
},
}, // End of an example
};
+return examples_nchw_relu1_relaxed;
+};
-std::vector<MixedTypedExample> examples_nchw_relu1_relaxed_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nchw_relu1_relaxed_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nchw_relu1_relaxed_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -1359,8 +1477,11 @@
},
}, // End of an example
};
+return examples_nchw_relu1_relaxed_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nchw_relu1_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relu1_quant8() {
+static std::vector<MixedTypedExample> examples_nchw_relu1_quant8 = {
// Begin of an example
{
.operands = {
@@ -1393,8 +1514,11 @@
},
}, // End of an example
};
+return examples_nchw_relu1_quant8;
+};
-std::vector<MixedTypedExample> examples_nchw_relu1_quant8_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nchw_relu1_quant8_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nchw_relu1_quant8_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -1427,8 +1551,11 @@
},
}, // End of an example
};
+return examples_nchw_relu1_quant8_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nchw_relu6 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relu6() {
+static std::vector<MixedTypedExample> examples_nchw_relu6 = {
// Begin of an example
{
.operands = {
@@ -1461,8 +1588,11 @@
},
}, // End of an example
};
+return examples_nchw_relu6;
+};
-std::vector<MixedTypedExample> examples_nchw_relu6_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nchw_relu6_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nchw_relu6_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -1495,8 +1625,11 @@
},
}, // End of an example
};
+return examples_nchw_relu6_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nchw_relu6_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nchw_relu6_relaxed() {
+static std::vector<MixedTypedExample> examples_nchw_relu6_relaxed = {
// Begin of an example
{
.operands = {
@@ -1529,8 +1662,11 @@
},
}, // End of an example
};
+return examples_nchw_relu6_relaxed;
+};
-std::vector<MixedTypedExample> examples_nchw_relu6_relaxed_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nchw_relu6_relaxed_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nchw_relu6_relaxed_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -1563,8 +1699,11 @@
},
}, // End of an example
};
+return examples_nchw_relu6_relaxed_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nchw_relu6_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relu6_quant8() {
+static std::vector<MixedTypedExample> examples_nchw_relu6_quant8 = {
// Begin of an example
{
.operands = {
@@ -1597,8 +1736,11 @@
},
}, // End of an example
};
+return examples_nchw_relu6_quant8;
+};
-std::vector<MixedTypedExample> examples_nchw_relu6_quant8_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nchw_relu6_quant8_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nchw_relu6_quant8_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -1631,8 +1773,11 @@
},
}, // End of an example
};
+return examples_nchw_relu6_quant8_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_large_nhwc = {
+std::vector<MixedTypedExample>& get_examples_large_nhwc() {
+static std::vector<MixedTypedExample> examples_large_nhwc = {
// Begin of an example
{
.operands = {
@@ -1665,8 +1810,11 @@
},
}, // End of an example
};
+return examples_large_nhwc;
+};
-std::vector<MixedTypedExample> examples_large_nhwc_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_large_nhwc_weight_as_input() {
+static std::vector<MixedTypedExample> examples_large_nhwc_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -1699,8 +1847,11 @@
},
}, // End of an example
};
+return examples_large_nhwc_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_large_nhwc_relaxed = {
+std::vector<MixedTypedExample>& get_examples_large_nhwc_relaxed() {
+static std::vector<MixedTypedExample> examples_large_nhwc_relaxed = {
// Begin of an example
{
.operands = {
@@ -1733,8 +1884,11 @@
},
}, // End of an example
};
+return examples_large_nhwc_relaxed;
+};
-std::vector<MixedTypedExample> examples_large_nhwc_relaxed_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_large_nhwc_relaxed_weight_as_input() {
+static std::vector<MixedTypedExample> examples_large_nhwc_relaxed_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -1767,8 +1921,11 @@
},
}, // End of an example
};
+return examples_large_nhwc_relaxed_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_large_nhwc_quant8 = {
+std::vector<MixedTypedExample>& get_examples_large_nhwc_quant8() {
+static std::vector<MixedTypedExample> examples_large_nhwc_quant8 = {
// Begin of an example
{
.operands = {
@@ -1801,8 +1958,11 @@
},
}, // End of an example
};
+return examples_large_nhwc_quant8;
+};
-std::vector<MixedTypedExample> examples_large_nhwc_quant8_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_large_nhwc_quant8_weight_as_input() {
+static std::vector<MixedTypedExample> examples_large_nhwc_quant8_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -1835,8 +1995,11 @@
},
}, // End of an example
};
+return examples_large_nhwc_quant8_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_large_nchw = {
+std::vector<MixedTypedExample>& get_examples_large_nchw() {
+static std::vector<MixedTypedExample> examples_large_nchw = {
// Begin of an example
{
.operands = {
@@ -1869,8 +2032,11 @@
},
}, // End of an example
};
+return examples_large_nchw;
+};
-std::vector<MixedTypedExample> examples_large_nchw_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_large_nchw_weight_as_input() {
+static std::vector<MixedTypedExample> examples_large_nchw_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -1903,8 +2069,11 @@
},
}, // End of an example
};
+return examples_large_nchw_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_large_nchw_relaxed = {
+std::vector<MixedTypedExample>& get_examples_large_nchw_relaxed() {
+static std::vector<MixedTypedExample> examples_large_nchw_relaxed = {
// Begin of an example
{
.operands = {
@@ -1937,8 +2106,11 @@
},
}, // End of an example
};
+return examples_large_nchw_relaxed;
+};
-std::vector<MixedTypedExample> examples_large_nchw_relaxed_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_large_nchw_relaxed_weight_as_input() {
+static std::vector<MixedTypedExample> examples_large_nchw_relaxed_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -1971,8 +2143,11 @@
},
}, // End of an example
};
+return examples_large_nchw_relaxed_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_large_nchw_quant8 = {
+std::vector<MixedTypedExample>& get_examples_large_nchw_quant8() {
+static std::vector<MixedTypedExample> examples_large_nchw_quant8 = {
// Begin of an example
{
.operands = {
@@ -2005,8 +2180,11 @@
},
}, // End of an example
};
+return examples_large_nchw_quant8;
+};
-std::vector<MixedTypedExample> examples_large_nchw_quant8_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_large_nchw_quant8_weight_as_input() {
+static std::vector<MixedTypedExample> examples_large_nchw_quant8_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -2039,8 +2217,11 @@
},
}, // End of an example
};
+return examples_large_nchw_quant8_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_channel_nhwc = {
+std::vector<MixedTypedExample>& get_examples_channel_nhwc() {
+static std::vector<MixedTypedExample> examples_channel_nhwc = {
// Begin of an example
{
.operands = {
@@ -2073,8 +2254,11 @@
},
}, // End of an example
};
+return examples_channel_nhwc;
+};
-std::vector<MixedTypedExample> examples_channel_nhwc_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_channel_nhwc_weight_as_input() {
+static std::vector<MixedTypedExample> examples_channel_nhwc_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -2107,8 +2291,11 @@
},
}, // End of an example
};
+return examples_channel_nhwc_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_channel_nhwc_relaxed = {
+std::vector<MixedTypedExample>& get_examples_channel_nhwc_relaxed() {
+static std::vector<MixedTypedExample> examples_channel_nhwc_relaxed = {
// Begin of an example
{
.operands = {
@@ -2141,8 +2328,11 @@
},
}, // End of an example
};
+return examples_channel_nhwc_relaxed;
+};
-std::vector<MixedTypedExample> examples_channel_nhwc_relaxed_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_channel_nhwc_relaxed_weight_as_input() {
+static std::vector<MixedTypedExample> examples_channel_nhwc_relaxed_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -2175,8 +2365,11 @@
},
}, // End of an example
};
+return examples_channel_nhwc_relaxed_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_channel_nhwc_quant8 = {
+std::vector<MixedTypedExample>& get_examples_channel_nhwc_quant8() {
+static std::vector<MixedTypedExample> examples_channel_nhwc_quant8 = {
// Begin of an example
{
.operands = {
@@ -2209,8 +2402,11 @@
},
}, // End of an example
};
+return examples_channel_nhwc_quant8;
+};
-std::vector<MixedTypedExample> examples_channel_nhwc_quant8_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_channel_nhwc_quant8_weight_as_input() {
+static std::vector<MixedTypedExample> examples_channel_nhwc_quant8_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -2243,8 +2439,11 @@
},
}, // End of an example
};
+return examples_channel_nhwc_quant8_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_channel_nchw = {
+std::vector<MixedTypedExample>& get_examples_channel_nchw() {
+static std::vector<MixedTypedExample> examples_channel_nchw = {
// Begin of an example
{
.operands = {
@@ -2277,8 +2476,11 @@
},
}, // End of an example
};
+return examples_channel_nchw;
+};
-std::vector<MixedTypedExample> examples_channel_nchw_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_channel_nchw_weight_as_input() {
+static std::vector<MixedTypedExample> examples_channel_nchw_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -2311,8 +2513,11 @@
},
}, // End of an example
};
+return examples_channel_nchw_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_channel_nchw_relaxed = {
+std::vector<MixedTypedExample>& get_examples_channel_nchw_relaxed() {
+static std::vector<MixedTypedExample> examples_channel_nchw_relaxed = {
// Begin of an example
{
.operands = {
@@ -2345,8 +2550,11 @@
},
}, // End of an example
};
+return examples_channel_nchw_relaxed;
+};
-std::vector<MixedTypedExample> examples_channel_nchw_relaxed_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_channel_nchw_relaxed_weight_as_input() {
+static std::vector<MixedTypedExample> examples_channel_nchw_relaxed_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -2379,8 +2587,11 @@
},
}, // End of an example
};
+return examples_channel_nchw_relaxed_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_channel_nchw_quant8 = {
+std::vector<MixedTypedExample>& get_examples_channel_nchw_quant8() {
+static std::vector<MixedTypedExample> examples_channel_nchw_quant8 = {
// Begin of an example
{
.operands = {
@@ -2413,8 +2624,11 @@
},
}, // End of an example
};
+return examples_channel_nchw_quant8;
+};
-std::vector<MixedTypedExample> examples_channel_nchw_quant8_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_channel_nchw_quant8_weight_as_input() {
+static std::vector<MixedTypedExample> examples_channel_nchw_quant8_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -2447,4 +2661,6 @@
},
}, // End of an example
};
+return examples_channel_nchw_quant8_weight_as_input;
+};
diff --git a/nn/runtime/test/generated/examples/hashtable_lookup_float.example.cpp b/nn/runtime/test/generated/examples/hashtable_lookup_float.example.cpp
index 2176d28..9a5466f 100644
--- a/nn/runtime/test/generated/examples/hashtable_lookup_float.example.cpp
+++ b/nn/runtime/test/generated/examples/hashtable_lookup_float.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: hashtable_lookup_float.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/hashtable_lookup_float_relaxed.example.cpp b/nn/runtime/test/generated/examples/hashtable_lookup_float_relaxed.example.cpp
index 02291bd..37f1c4d 100644
--- a/nn/runtime/test/generated/examples/hashtable_lookup_float_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/hashtable_lookup_float_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: hashtable_lookup_float_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/hashtable_lookup_quant8.example.cpp b/nn/runtime/test/generated/examples/hashtable_lookup_quant8.example.cpp
index 208d72e..8b352a0 100644
--- a/nn/runtime/test/generated/examples/hashtable_lookup_quant8.example.cpp
+++ b/nn/runtime/test/generated/examples/hashtable_lookup_quant8.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: hashtable_lookup_quant8.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/heatmap_max_keypoint.example.cpp b/nn/runtime/test/generated/examples/heatmap_max_keypoint.example.cpp
index 6584d05..a32c2fe 100644
--- a/nn/runtime/test/generated/examples/heatmap_max_keypoint.example.cpp
+++ b/nn/runtime/test/generated/examples/heatmap_max_keypoint.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: heatmap_max_keypoint.mod.py). Do not edit
-std::vector<MixedTypedExample> examples_nhwc = {
+std::vector<MixedTypedExample>& get_examples_nhwc() {
+static std::vector<MixedTypedExample> examples_nhwc = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples_nhwc;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,11 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed;
+};
-std::vector<MixedTypedExample> examples_nchw = {
+std::vector<MixedTypedExample>& get_examples_nchw() {
+static std::vector<MixedTypedExample> examples_nchw = {
// Begin of an example
{
.operands = {
@@ -101,8 +108,11 @@
},
}, // End of an example
};
+return examples_nchw;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed = {
// Begin of an example
{
.operands = {
@@ -135,8 +145,11 @@
},
}, // End of an example
};
+return examples_nchw_relaxed;
+};
-std::vector<MixedTypedExample> examples_nhwc_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_2() {
+static std::vector<MixedTypedExample> examples_nhwc_2 = {
// Begin of an example
{
.operands = {
@@ -169,8 +182,11 @@
},
}, // End of an example
};
+return examples_nhwc_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed_2() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -203,8 +219,11 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_nchw_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_2() {
+static std::vector<MixedTypedExample> examples_nchw_2 = {
// Begin of an example
{
.operands = {
@@ -237,8 +256,11 @@
},
}, // End of an example
};
+return examples_nchw_2;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed_2() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -271,4 +293,6 @@
},
}, // End of an example
};
+return examples_nchw_relaxed_2;
+};
diff --git a/nn/runtime/test/generated/examples/l2_normalization.example.cpp b/nn/runtime/test/generated/examples/l2_normalization.example.cpp
index fa2ffe3..0ad0c1c 100644
--- a/nn/runtime/test/generated/examples/l2_normalization.example.cpp
+++ b/nn/runtime/test/generated/examples/l2_normalization.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: l2_normalization.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/l2_normalization_2.example.cpp b/nn/runtime/test/generated/examples/l2_normalization_2.example.cpp
index 868bb7a..6a39ed9 100644
--- a/nn/runtime/test/generated/examples/l2_normalization_2.example.cpp
+++ b/nn/runtime/test/generated/examples/l2_normalization_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: l2_normalization_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/l2_normalization_2_relaxed.example.cpp b/nn/runtime/test/generated/examples/l2_normalization_2_relaxed.example.cpp
index 25064a5..978c626 100644
--- a/nn/runtime/test/generated/examples/l2_normalization_2_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/l2_normalization_2_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: l2_normalization_2_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/l2_normalization_large.example.cpp b/nn/runtime/test/generated/examples/l2_normalization_large.example.cpp
index 5280373..e00b11b 100644
--- a/nn/runtime/test/generated/examples/l2_normalization_large.example.cpp
+++ b/nn/runtime/test/generated/examples/l2_normalization_large.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: l2_normalization_large.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/l2_normalization_large_relaxed.example.cpp b/nn/runtime/test/generated/examples/l2_normalization_large_relaxed.example.cpp
index 182a911..10a3d5f 100644
--- a/nn/runtime/test/generated/examples/l2_normalization_large_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/l2_normalization_large_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: l2_normalization_large_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/l2_normalization_relaxed.example.cpp b/nn/runtime/test/generated/examples/l2_normalization_relaxed.example.cpp
index 30cefeb..f07f5b0 100644
--- a/nn/runtime/test/generated/examples/l2_normalization_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/l2_normalization_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: l2_normalization_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/l2_normalization_v1_2.example.cpp b/nn/runtime/test/generated/examples/l2_normalization_v1_2.example.cpp
index 9394d14..0db3cd7 100644
--- a/nn/runtime/test/generated/examples/l2_normalization_v1_2.example.cpp
+++ b/nn/runtime/test/generated/examples/l2_normalization_v1_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: l2_normalization_v1_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples_dim1_axis0 = {
+std::vector<MixedTypedExample>& get_examples_dim1_axis0() {
+static std::vector<MixedTypedExample> examples_dim1_axis0 = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples_dim1_axis0;
+};
-std::vector<MixedTypedExample> examples_dim2_axis1 = {
+std::vector<MixedTypedExample>& get_examples_dim2_axis1() {
+static std::vector<MixedTypedExample> examples_dim2_axis1 = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,11 @@
},
}, // End of an example
};
+return examples_dim2_axis1;
+};
-std::vector<MixedTypedExample> examples_dim3_axis2 = {
+std::vector<MixedTypedExample>& get_examples_dim3_axis2() {
+static std::vector<MixedTypedExample> examples_dim3_axis2 = {
// Begin of an example
{
.operands = {
@@ -101,8 +108,11 @@
},
}, // End of an example
};
+return examples_dim3_axis2;
+};
-std::vector<MixedTypedExample> examples_relaxed_dim1_axis0 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_dim1_axis0() {
+static std::vector<MixedTypedExample> examples_relaxed_dim1_axis0 = {
// Begin of an example
{
.operands = {
@@ -135,8 +145,11 @@
},
}, // End of an example
};
+return examples_relaxed_dim1_axis0;
+};
-std::vector<MixedTypedExample> examples_relaxed_dim2_axis1 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_dim2_axis1() {
+static std::vector<MixedTypedExample> examples_relaxed_dim2_axis1 = {
// Begin of an example
{
.operands = {
@@ -169,8 +182,11 @@
},
}, // End of an example
};
+return examples_relaxed_dim2_axis1;
+};
-std::vector<MixedTypedExample> examples_relaxed_dim3_axis2 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_dim3_axis2() {
+static std::vector<MixedTypedExample> examples_relaxed_dim3_axis2 = {
// Begin of an example
{
.operands = {
@@ -203,8 +219,11 @@
},
}, // End of an example
};
+return examples_relaxed_dim3_axis2;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis0 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis0() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis0 = {
// Begin of an example
{
.operands = {
@@ -237,8 +256,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis0;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis0_neg() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -271,8 +293,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis1 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis1() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis1 = {
// Begin of an example
{
.operands = {
@@ -305,8 +330,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis1;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis1_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis1_neg() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis1_neg = {
// Begin of an example
{
.operands = {
@@ -339,8 +367,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis1_neg;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis2() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis2 = {
// Begin of an example
{
.operands = {
@@ -373,8 +404,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis2;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis2_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis2_neg() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis2_neg = {
// Begin of an example
{
.operands = {
@@ -407,8 +441,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis2_neg;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis3 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis3() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis3 = {
// Begin of an example
{
.operands = {
@@ -441,8 +478,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis3;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis3_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis3_neg() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis3_neg = {
// Begin of an example
{
.operands = {
@@ -475,8 +515,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis3_neg;
+};
-std::vector<MixedTypedExample> examples_axis_dim3_axis0 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim3_axis0() {
+static std::vector<MixedTypedExample> examples_axis_dim3_axis0 = {
// Begin of an example
{
.operands = {
@@ -509,8 +552,11 @@
},
}, // End of an example
};
+return examples_axis_dim3_axis0;
+};
-std::vector<MixedTypedExample> examples_axis_dim3_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_dim3_axis0_neg() {
+static std::vector<MixedTypedExample> examples_axis_dim3_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -543,8 +589,11 @@
},
}, // End of an example
};
+return examples_axis_dim3_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_axis_dim3_axis1 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim3_axis1() {
+static std::vector<MixedTypedExample> examples_axis_dim3_axis1 = {
// Begin of an example
{
.operands = {
@@ -577,8 +626,11 @@
},
}, // End of an example
};
+return examples_axis_dim3_axis1;
+};
-std::vector<MixedTypedExample> examples_axis_dim3_axis1_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_dim3_axis1_neg() {
+static std::vector<MixedTypedExample> examples_axis_dim3_axis1_neg = {
// Begin of an example
{
.operands = {
@@ -611,8 +663,11 @@
},
}, // End of an example
};
+return examples_axis_dim3_axis1_neg;
+};
-std::vector<MixedTypedExample> examples_axis_dim3_axis2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim3_axis2() {
+static std::vector<MixedTypedExample> examples_axis_dim3_axis2 = {
// Begin of an example
{
.operands = {
@@ -645,8 +700,11 @@
},
}, // End of an example
};
+return examples_axis_dim3_axis2;
+};
-std::vector<MixedTypedExample> examples_axis_dim3_axis2_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_dim3_axis2_neg() {
+static std::vector<MixedTypedExample> examples_axis_dim3_axis2_neg = {
// Begin of an example
{
.operands = {
@@ -679,8 +737,11 @@
},
}, // End of an example
};
+return examples_axis_dim3_axis2_neg;
+};
-std::vector<MixedTypedExample> examples_axis_dim2_axis0 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim2_axis0() {
+static std::vector<MixedTypedExample> examples_axis_dim2_axis0 = {
// Begin of an example
{
.operands = {
@@ -713,8 +774,11 @@
},
}, // End of an example
};
+return examples_axis_dim2_axis0;
+};
-std::vector<MixedTypedExample> examples_axis_dim2_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_dim2_axis0_neg() {
+static std::vector<MixedTypedExample> examples_axis_dim2_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -747,8 +811,11 @@
},
}, // End of an example
};
+return examples_axis_dim2_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_axis_dim2_axis1 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim2_axis1() {
+static std::vector<MixedTypedExample> examples_axis_dim2_axis1 = {
// Begin of an example
{
.operands = {
@@ -781,8 +848,11 @@
},
}, // End of an example
};
+return examples_axis_dim2_axis1;
+};
-std::vector<MixedTypedExample> examples_axis_dim2_axis1_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_dim2_axis1_neg() {
+static std::vector<MixedTypedExample> examples_axis_dim2_axis1_neg = {
// Begin of an example
{
.operands = {
@@ -815,8 +885,11 @@
},
}, // End of an example
};
+return examples_axis_dim2_axis1_neg;
+};
-std::vector<MixedTypedExample> examples_axis_dim1_axis0 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim1_axis0() {
+static std::vector<MixedTypedExample> examples_axis_dim1_axis0 = {
// Begin of an example
{
.operands = {
@@ -849,8 +922,11 @@
},
}, // End of an example
};
+return examples_axis_dim1_axis0;
+};
-std::vector<MixedTypedExample> examples_axis_dim1_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_dim1_axis0_neg() {
+static std::vector<MixedTypedExample> examples_axis_dim1_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -883,8 +959,11 @@
},
}, // End of an example
};
+return examples_axis_dim1_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis0 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis0() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis0 = {
// Begin of an example
{
.operands = {
@@ -917,8 +996,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis0;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis0_neg() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -951,8 +1033,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis1 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis1() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis1 = {
// Begin of an example
{
.operands = {
@@ -985,8 +1070,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis1;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis1_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis1_neg() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis1_neg = {
// Begin of an example
{
.operands = {
@@ -1019,8 +1107,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis1_neg;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis2 = {
// Begin of an example
{
.operands = {
@@ -1053,8 +1144,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis2_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis2_neg() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis2_neg = {
// Begin of an example
{
.operands = {
@@ -1087,8 +1181,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis2_neg;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis3 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis3() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis3 = {
// Begin of an example
{
.operands = {
@@ -1121,8 +1218,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis3;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis3_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis3_neg() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis3_neg = {
// Begin of an example
{
.operands = {
@@ -1155,8 +1255,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis3_neg;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis0 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim3_axis0() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis0 = {
// Begin of an example
{
.operands = {
@@ -1189,8 +1292,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim3_axis0;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim3_axis0_neg() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -1223,8 +1329,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim3_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis1 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim3_axis1() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis1 = {
// Begin of an example
{
.operands = {
@@ -1257,8 +1366,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim3_axis1;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis1_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim3_axis1_neg() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis1_neg = {
// Begin of an example
{
.operands = {
@@ -1291,8 +1403,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim3_axis1_neg;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim3_axis2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis2 = {
// Begin of an example
{
.operands = {
@@ -1325,8 +1440,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim3_axis2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis2_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim3_axis2_neg() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis2_neg = {
// Begin of an example
{
.operands = {
@@ -1359,8 +1477,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim3_axis2_neg;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis0 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim2_axis0() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis0 = {
// Begin of an example
{
.operands = {
@@ -1393,8 +1514,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim2_axis0;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim2_axis0_neg() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -1427,8 +1551,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim2_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis1 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim2_axis1() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis1 = {
// Begin of an example
{
.operands = {
@@ -1461,8 +1588,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim2_axis1;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis1_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim2_axis1_neg() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis1_neg = {
// Begin of an example
{
.operands = {
@@ -1495,8 +1625,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim2_axis1_neg;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim1_axis0 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim1_axis0() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim1_axis0 = {
// Begin of an example
{
.operands = {
@@ -1529,8 +1662,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim1_axis0;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim1_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim1_axis0_neg() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim1_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -1563,4 +1699,6 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim1_axis0_neg;
+};
diff --git a/nn/runtime/test/generated/examples/l2_pool_float.example.cpp b/nn/runtime/test/generated/examples/l2_pool_float.example.cpp
index 0b62d83..c08e934 100644
--- a/nn/runtime/test/generated/examples/l2_pool_float.example.cpp
+++ b/nn/runtime/test/generated/examples/l2_pool_float.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: l2_pool_float.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/l2_pool_float_2.example.cpp b/nn/runtime/test/generated/examples/l2_pool_float_2.example.cpp
index b647766..3e1f53c 100644
--- a/nn/runtime/test/generated/examples/l2_pool_float_2.example.cpp
+++ b/nn/runtime/test/generated/examples/l2_pool_float_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: l2_pool_float_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/l2_pool_float_2_relaxed.example.cpp b/nn/runtime/test/generated/examples/l2_pool_float_2_relaxed.example.cpp
index 9cdeaee..fd5a70a 100644
--- a/nn/runtime/test/generated/examples/l2_pool_float_2_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/l2_pool_float_2_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: l2_pool_float_2_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/l2_pool_float_large.example.cpp b/nn/runtime/test/generated/examples/l2_pool_float_large.example.cpp
index f816a32..1654526 100644
--- a/nn/runtime/test/generated/examples/l2_pool_float_large.example.cpp
+++ b/nn/runtime/test/generated/examples/l2_pool_float_large.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: l2_pool_float_large.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/l2_pool_float_large_relaxed.example.cpp b/nn/runtime/test/generated/examples/l2_pool_float_large_relaxed.example.cpp
index c71f640..478dbc3 100644
--- a/nn/runtime/test/generated/examples/l2_pool_float_large_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/l2_pool_float_large_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: l2_pool_float_large_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/l2_pool_float_relaxed.example.cpp b/nn/runtime/test/generated/examples/l2_pool_float_relaxed.example.cpp
index e5f04e8..d840bce 100644
--- a/nn/runtime/test/generated/examples/l2_pool_float_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/l2_pool_float_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: l2_pool_float_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/l2_pool_v1_2.example.cpp b/nn/runtime/test/generated/examples/l2_pool_v1_2.example.cpp
index 8acf266..320e6a9 100644
--- a/nn/runtime/test/generated/examples/l2_pool_v1_2.example.cpp
+++ b/nn/runtime/test/generated/examples/l2_pool_v1_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: l2_pool_v1_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples_nhwc = {
+std::vector<MixedTypedExample>& get_examples_nhwc() {
+static std::vector<MixedTypedExample> examples_nhwc = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples_nhwc;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,11 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed;
+};
-std::vector<MixedTypedExample> examples_nchw = {
+std::vector<MixedTypedExample>& get_examples_nchw() {
+static std::vector<MixedTypedExample> examples_nchw = {
// Begin of an example
{
.operands = {
@@ -101,8 +108,11 @@
},
}, // End of an example
};
+return examples_nchw;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed = {
// Begin of an example
{
.operands = {
@@ -135,8 +145,11 @@
},
}, // End of an example
};
+return examples_nchw_relaxed;
+};
-std::vector<MixedTypedExample> examples_nhwc_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_2() {
+static std::vector<MixedTypedExample> examples_nhwc_2 = {
// Begin of an example
{
.operands = {
@@ -169,8 +182,11 @@
},
}, // End of an example
};
+return examples_nhwc_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed_2() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -203,8 +219,11 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_nchw_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_2() {
+static std::vector<MixedTypedExample> examples_nchw_2 = {
// Begin of an example
{
.operands = {
@@ -237,8 +256,11 @@
},
}, // End of an example
};
+return examples_nchw_2;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed_2() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -271,8 +293,11 @@
},
}, // End of an example
};
+return examples_nchw_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_large_nhwc = {
+std::vector<MixedTypedExample>& get_examples_large_nhwc() {
+static std::vector<MixedTypedExample> examples_large_nhwc = {
// Begin of an example
{
.operands = {
@@ -305,8 +330,11 @@
},
}, // End of an example
};
+return examples_large_nhwc;
+};
-std::vector<MixedTypedExample> examples_large_nhwc_relaxed = {
+std::vector<MixedTypedExample>& get_examples_large_nhwc_relaxed() {
+static std::vector<MixedTypedExample> examples_large_nhwc_relaxed = {
// Begin of an example
{
.operands = {
@@ -339,8 +367,11 @@
},
}, // End of an example
};
+return examples_large_nhwc_relaxed;
+};
-std::vector<MixedTypedExample> examples_large_nchw = {
+std::vector<MixedTypedExample>& get_examples_large_nchw() {
+static std::vector<MixedTypedExample> examples_large_nchw = {
// Begin of an example
{
.operands = {
@@ -373,8 +404,11 @@
},
}, // End of an example
};
+return examples_large_nchw;
+};
-std::vector<MixedTypedExample> examples_large_nchw_relaxed = {
+std::vector<MixedTypedExample>& get_examples_large_nchw_relaxed() {
+static std::vector<MixedTypedExample> examples_large_nchw_relaxed = {
// Begin of an example
{
.operands = {
@@ -407,4 +441,6 @@
},
}, // End of an example
};
+return examples_large_nchw_relaxed;
+};
diff --git a/nn/runtime/test/generated/examples/layer_norm_lstm.example.cpp b/nn/runtime/test/generated/examples/layer_norm_lstm.example.cpp
index 422dcfe..d077091 100644
--- a/nn/runtime/test/generated/examples/layer_norm_lstm.example.cpp
+++ b/nn/runtime/test/generated/examples/layer_norm_lstm.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: layer_norm_lstm.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -95,4 +96,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/local_response_norm_float_1.example.cpp b/nn/runtime/test/generated/examples/local_response_norm_float_1.example.cpp
index 3722a73..fb1157c 100644
--- a/nn/runtime/test/generated/examples/local_response_norm_float_1.example.cpp
+++ b/nn/runtime/test/generated/examples/local_response_norm_float_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: local_response_norm_float_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/local_response_norm_float_1_relaxed.example.cpp b/nn/runtime/test/generated/examples/local_response_norm_float_1_relaxed.example.cpp
index 9362bb6..856267e 100644
--- a/nn/runtime/test/generated/examples/local_response_norm_float_1_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/local_response_norm_float_1_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: local_response_norm_float_1_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/local_response_norm_float_2.example.cpp b/nn/runtime/test/generated/examples/local_response_norm_float_2.example.cpp
index 1b9b0fa..7cf9bc3 100644
--- a/nn/runtime/test/generated/examples/local_response_norm_float_2.example.cpp
+++ b/nn/runtime/test/generated/examples/local_response_norm_float_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: local_response_norm_float_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/local_response_norm_float_2_relaxed.example.cpp b/nn/runtime/test/generated/examples/local_response_norm_float_2_relaxed.example.cpp
index 2b09c42..32e27cf 100644
--- a/nn/runtime/test/generated/examples/local_response_norm_float_2_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/local_response_norm_float_2_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: local_response_norm_float_2_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/local_response_norm_float_3.example.cpp b/nn/runtime/test/generated/examples/local_response_norm_float_3.example.cpp
index 1519a5b..cc30984 100644
--- a/nn/runtime/test/generated/examples/local_response_norm_float_3.example.cpp
+++ b/nn/runtime/test/generated/examples/local_response_norm_float_3.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: local_response_norm_float_3.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/local_response_norm_float_3_relaxed.example.cpp b/nn/runtime/test/generated/examples/local_response_norm_float_3_relaxed.example.cpp
index 4be8055..18e2208 100644
--- a/nn/runtime/test/generated/examples/local_response_norm_float_3_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/local_response_norm_float_3_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: local_response_norm_float_3_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/local_response_norm_float_4.example.cpp b/nn/runtime/test/generated/examples/local_response_norm_float_4.example.cpp
index 2ff72b9..6069747 100644
--- a/nn/runtime/test/generated/examples/local_response_norm_float_4.example.cpp
+++ b/nn/runtime/test/generated/examples/local_response_norm_float_4.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: local_response_norm_float_4.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/local_response_norm_float_4_relaxed.example.cpp b/nn/runtime/test/generated/examples/local_response_norm_float_4_relaxed.example.cpp
index 8c90386..90ff53b 100644
--- a/nn/runtime/test/generated/examples/local_response_norm_float_4_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/local_response_norm_float_4_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: local_response_norm_float_4_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/local_response_normalization_v1_2.example.cpp b/nn/runtime/test/generated/examples/local_response_normalization_v1_2.example.cpp
index c715237..890deb3 100644
--- a/nn/runtime/test/generated/examples/local_response_normalization_v1_2.example.cpp
+++ b/nn/runtime/test/generated/examples/local_response_normalization_v1_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: local_response_normalization_v1_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples_axis_dim4_axis0 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis0() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis0 = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis0;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis0_neg() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis1 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis1() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis1 = {
// Begin of an example
{
.operands = {
@@ -101,8 +108,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis1;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis1_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis1_neg() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis1_neg = {
// Begin of an example
{
.operands = {
@@ -135,8 +145,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis1_neg;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis2() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis2 = {
// Begin of an example
{
.operands = {
@@ -169,8 +182,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis2;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis2_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis2_neg() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis2_neg = {
// Begin of an example
{
.operands = {
@@ -203,8 +219,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis2_neg;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis3 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis3() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis3 = {
// Begin of an example
{
.operands = {
@@ -237,8 +256,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis3;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis3_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis3_neg() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis3_neg = {
// Begin of an example
{
.operands = {
@@ -271,8 +293,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis3_neg;
+};
-std::vector<MixedTypedExample> examples_axis_dim3_axis0 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim3_axis0() {
+static std::vector<MixedTypedExample> examples_axis_dim3_axis0 = {
// Begin of an example
{
.operands = {
@@ -305,8 +330,11 @@
},
}, // End of an example
};
+return examples_axis_dim3_axis0;
+};
-std::vector<MixedTypedExample> examples_axis_dim3_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_dim3_axis0_neg() {
+static std::vector<MixedTypedExample> examples_axis_dim3_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -339,8 +367,11 @@
},
}, // End of an example
};
+return examples_axis_dim3_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_axis_dim3_axis1 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim3_axis1() {
+static std::vector<MixedTypedExample> examples_axis_dim3_axis1 = {
// Begin of an example
{
.operands = {
@@ -373,8 +404,11 @@
},
}, // End of an example
};
+return examples_axis_dim3_axis1;
+};
-std::vector<MixedTypedExample> examples_axis_dim3_axis1_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_dim3_axis1_neg() {
+static std::vector<MixedTypedExample> examples_axis_dim3_axis1_neg = {
// Begin of an example
{
.operands = {
@@ -407,8 +441,11 @@
},
}, // End of an example
};
+return examples_axis_dim3_axis1_neg;
+};
-std::vector<MixedTypedExample> examples_axis_dim3_axis2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim3_axis2() {
+static std::vector<MixedTypedExample> examples_axis_dim3_axis2 = {
// Begin of an example
{
.operands = {
@@ -441,8 +478,11 @@
},
}, // End of an example
};
+return examples_axis_dim3_axis2;
+};
-std::vector<MixedTypedExample> examples_axis_dim3_axis2_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_dim3_axis2_neg() {
+static std::vector<MixedTypedExample> examples_axis_dim3_axis2_neg = {
// Begin of an example
{
.operands = {
@@ -475,8 +515,11 @@
},
}, // End of an example
};
+return examples_axis_dim3_axis2_neg;
+};
-std::vector<MixedTypedExample> examples_axis_dim2_axis0 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim2_axis0() {
+static std::vector<MixedTypedExample> examples_axis_dim2_axis0 = {
// Begin of an example
{
.operands = {
@@ -509,8 +552,11 @@
},
}, // End of an example
};
+return examples_axis_dim2_axis0;
+};
-std::vector<MixedTypedExample> examples_axis_dim2_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_dim2_axis0_neg() {
+static std::vector<MixedTypedExample> examples_axis_dim2_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -543,8 +589,11 @@
},
}, // End of an example
};
+return examples_axis_dim2_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_axis_dim2_axis1 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim2_axis1() {
+static std::vector<MixedTypedExample> examples_axis_dim2_axis1 = {
// Begin of an example
{
.operands = {
@@ -577,8 +626,11 @@
},
}, // End of an example
};
+return examples_axis_dim2_axis1;
+};
-std::vector<MixedTypedExample> examples_axis_dim2_axis1_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_dim2_axis1_neg() {
+static std::vector<MixedTypedExample> examples_axis_dim2_axis1_neg = {
// Begin of an example
{
.operands = {
@@ -611,8 +663,11 @@
},
}, // End of an example
};
+return examples_axis_dim2_axis1_neg;
+};
-std::vector<MixedTypedExample> examples_axis_dim1_axis0 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim1_axis0() {
+static std::vector<MixedTypedExample> examples_axis_dim1_axis0 = {
// Begin of an example
{
.operands = {
@@ -645,8 +700,11 @@
},
}, // End of an example
};
+return examples_axis_dim1_axis0;
+};
-std::vector<MixedTypedExample> examples_axis_dim1_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_dim1_axis0_neg() {
+static std::vector<MixedTypedExample> examples_axis_dim1_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -679,8 +737,11 @@
},
}, // End of an example
};
+return examples_axis_dim1_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis0 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis0() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis0 = {
// Begin of an example
{
.operands = {
@@ -713,8 +774,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis0;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis0_neg() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -747,8 +811,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis1 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis1() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis1 = {
// Begin of an example
{
.operands = {
@@ -781,8 +848,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis1;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis1_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis1_neg() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis1_neg = {
// Begin of an example
{
.operands = {
@@ -815,8 +885,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis1_neg;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis2 = {
// Begin of an example
{
.operands = {
@@ -849,8 +922,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis2_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis2_neg() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis2_neg = {
// Begin of an example
{
.operands = {
@@ -883,8 +959,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis2_neg;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis3 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis3() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis3 = {
// Begin of an example
{
.operands = {
@@ -917,8 +996,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis3;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis3_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis3_neg() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis3_neg = {
// Begin of an example
{
.operands = {
@@ -951,8 +1033,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis3_neg;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis0 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim3_axis0() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis0 = {
// Begin of an example
{
.operands = {
@@ -985,8 +1070,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim3_axis0;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim3_axis0_neg() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -1019,8 +1107,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim3_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis1 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim3_axis1() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis1 = {
// Begin of an example
{
.operands = {
@@ -1053,8 +1144,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim3_axis1;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis1_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim3_axis1_neg() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis1_neg = {
// Begin of an example
{
.operands = {
@@ -1087,8 +1181,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim3_axis1_neg;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim3_axis2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis2 = {
// Begin of an example
{
.operands = {
@@ -1121,8 +1218,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim3_axis2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis2_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim3_axis2_neg() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis2_neg = {
// Begin of an example
{
.operands = {
@@ -1155,8 +1255,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim3_axis2_neg;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis0 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim2_axis0() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis0 = {
// Begin of an example
{
.operands = {
@@ -1189,8 +1292,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim2_axis0;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim2_axis0_neg() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -1223,8 +1329,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim2_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis1 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim2_axis1() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis1 = {
// Begin of an example
{
.operands = {
@@ -1257,8 +1366,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim2_axis1;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis1_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim2_axis1_neg() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis1_neg = {
// Begin of an example
{
.operands = {
@@ -1291,8 +1403,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim2_axis1_neg;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim1_axis0 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim1_axis0() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim1_axis0 = {
// Begin of an example
{
.operands = {
@@ -1325,8 +1440,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim1_axis0;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim1_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim1_axis0_neg() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim1_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -1359,8 +1477,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim1_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis0_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis0_2() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis0_2 = {
// Begin of an example
{
.operands = {
@@ -1393,8 +1514,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis0_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis0_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis0_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis0_neg_2 = {
// Begin of an example
{
.operands = {
@@ -1427,8 +1551,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis0_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis1_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis1_2() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis1_2 = {
// Begin of an example
{
.operands = {
@@ -1461,8 +1588,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis1_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis1_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis1_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis1_neg_2 = {
// Begin of an example
{
.operands = {
@@ -1495,8 +1625,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis1_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis2_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis2_2() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis2_2 = {
// Begin of an example
{
.operands = {
@@ -1529,8 +1662,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis2_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis2_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis2_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis2_neg_2 = {
// Begin of an example
{
.operands = {
@@ -1563,8 +1699,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis2_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis3_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis3_2() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis3_2 = {
// Begin of an example
{
.operands = {
@@ -1597,8 +1736,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis3_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis3_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis3_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis3_neg_2 = {
// Begin of an example
{
.operands = {
@@ -1631,8 +1773,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis3_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim3_axis0_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim3_axis0_2() {
+static std::vector<MixedTypedExample> examples_axis_dim3_axis0_2 = {
// Begin of an example
{
.operands = {
@@ -1665,8 +1810,11 @@
},
}, // End of an example
};
+return examples_axis_dim3_axis0_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim3_axis0_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim3_axis0_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_dim3_axis0_neg_2 = {
// Begin of an example
{
.operands = {
@@ -1699,8 +1847,11 @@
},
}, // End of an example
};
+return examples_axis_dim3_axis0_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim3_axis1_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim3_axis1_2() {
+static std::vector<MixedTypedExample> examples_axis_dim3_axis1_2 = {
// Begin of an example
{
.operands = {
@@ -1733,8 +1884,11 @@
},
}, // End of an example
};
+return examples_axis_dim3_axis1_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim3_axis1_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim3_axis1_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_dim3_axis1_neg_2 = {
// Begin of an example
{
.operands = {
@@ -1767,8 +1921,11 @@
},
}, // End of an example
};
+return examples_axis_dim3_axis1_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim3_axis2_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim3_axis2_2() {
+static std::vector<MixedTypedExample> examples_axis_dim3_axis2_2 = {
// Begin of an example
{
.operands = {
@@ -1801,8 +1958,11 @@
},
}, // End of an example
};
+return examples_axis_dim3_axis2_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim3_axis2_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim3_axis2_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_dim3_axis2_neg_2 = {
// Begin of an example
{
.operands = {
@@ -1835,8 +1995,11 @@
},
}, // End of an example
};
+return examples_axis_dim3_axis2_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim2_axis0_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim2_axis0_2() {
+static std::vector<MixedTypedExample> examples_axis_dim2_axis0_2 = {
// Begin of an example
{
.operands = {
@@ -1869,8 +2032,11 @@
},
}, // End of an example
};
+return examples_axis_dim2_axis0_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim2_axis0_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim2_axis0_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_dim2_axis0_neg_2 = {
// Begin of an example
{
.operands = {
@@ -1903,8 +2069,11 @@
},
}, // End of an example
};
+return examples_axis_dim2_axis0_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim2_axis1_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim2_axis1_2() {
+static std::vector<MixedTypedExample> examples_axis_dim2_axis1_2 = {
// Begin of an example
{
.operands = {
@@ -1937,8 +2106,11 @@
},
}, // End of an example
};
+return examples_axis_dim2_axis1_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim2_axis1_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim2_axis1_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_dim2_axis1_neg_2 = {
// Begin of an example
{
.operands = {
@@ -1971,8 +2143,11 @@
},
}, // End of an example
};
+return examples_axis_dim2_axis1_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim1_axis0_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim1_axis0_2() {
+static std::vector<MixedTypedExample> examples_axis_dim1_axis0_2 = {
// Begin of an example
{
.operands = {
@@ -2005,8 +2180,11 @@
},
}, // End of an example
};
+return examples_axis_dim1_axis0_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim1_axis0_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim1_axis0_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_dim1_axis0_neg_2 = {
// Begin of an example
{
.operands = {
@@ -2039,8 +2217,11 @@
},
}, // End of an example
};
+return examples_axis_dim1_axis0_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis0_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis0_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis0_2 = {
// Begin of an example
{
.operands = {
@@ -2073,8 +2254,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis0_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis0_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis0_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis0_neg_2 = {
// Begin of an example
{
.operands = {
@@ -2107,8 +2291,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis0_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis1_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis1_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis1_2 = {
// Begin of an example
{
.operands = {
@@ -2141,8 +2328,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis1_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis1_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis1_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis1_neg_2 = {
// Begin of an example
{
.operands = {
@@ -2175,8 +2365,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis1_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis2_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis2_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis2_2 = {
// Begin of an example
{
.operands = {
@@ -2209,8 +2402,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis2_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis2_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis2_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis2_neg_2 = {
// Begin of an example
{
.operands = {
@@ -2243,8 +2439,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis2_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis3_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis3_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis3_2 = {
// Begin of an example
{
.operands = {
@@ -2277,8 +2476,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis3_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis3_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis3_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis3_neg_2 = {
// Begin of an example
{
.operands = {
@@ -2311,8 +2513,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis3_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis0_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim3_axis0_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis0_2 = {
// Begin of an example
{
.operands = {
@@ -2345,8 +2550,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim3_axis0_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis0_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim3_axis0_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis0_neg_2 = {
// Begin of an example
{
.operands = {
@@ -2379,8 +2587,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim3_axis0_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis1_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim3_axis1_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis1_2 = {
// Begin of an example
{
.operands = {
@@ -2413,8 +2624,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim3_axis1_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis1_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim3_axis1_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis1_neg_2 = {
// Begin of an example
{
.operands = {
@@ -2447,8 +2661,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim3_axis1_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis2_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim3_axis2_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis2_2 = {
// Begin of an example
{
.operands = {
@@ -2481,8 +2698,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim3_axis2_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis2_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim3_axis2_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis2_neg_2 = {
// Begin of an example
{
.operands = {
@@ -2515,8 +2735,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim3_axis2_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis0_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim2_axis0_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis0_2 = {
// Begin of an example
{
.operands = {
@@ -2549,8 +2772,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim2_axis0_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis0_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim2_axis0_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis0_neg_2 = {
// Begin of an example
{
.operands = {
@@ -2583,8 +2809,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim2_axis0_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis1_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim2_axis1_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis1_2 = {
// Begin of an example
{
.operands = {
@@ -2617,8 +2846,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim2_axis1_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis1_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim2_axis1_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis1_neg_2 = {
// Begin of an example
{
.operands = {
@@ -2651,8 +2883,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim2_axis1_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim1_axis0_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim1_axis0_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim1_axis0_2 = {
// Begin of an example
{
.operands = {
@@ -2685,8 +2920,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim1_axis0_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim1_axis0_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim1_axis0_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim1_axis0_neg_2 = {
// Begin of an example
{
.operands = {
@@ -2719,8 +2957,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim1_axis0_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis0_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis0_3() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis0_3 = {
// Begin of an example
{
.operands = {
@@ -2753,8 +2994,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis0_3;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis0_neg_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis0_neg_3() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis0_neg_3 = {
// Begin of an example
{
.operands = {
@@ -2787,8 +3031,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis0_neg_3;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis1_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis1_3() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis1_3 = {
// Begin of an example
{
.operands = {
@@ -2821,8 +3068,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis1_3;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis1_neg_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis1_neg_3() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis1_neg_3 = {
// Begin of an example
{
.operands = {
@@ -2855,8 +3105,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis1_neg_3;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis2_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis2_3() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis2_3 = {
// Begin of an example
{
.operands = {
@@ -2889,8 +3142,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis2_3;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis2_neg_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis2_neg_3() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis2_neg_3 = {
// Begin of an example
{
.operands = {
@@ -2923,8 +3179,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis2_neg_3;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis3_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis3_3() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis3_3 = {
// Begin of an example
{
.operands = {
@@ -2957,8 +3216,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis3_3;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis3_neg_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis3_neg_3() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis3_neg_3 = {
// Begin of an example
{
.operands = {
@@ -2991,8 +3253,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis3_neg_3;
+};
-std::vector<MixedTypedExample> examples_axis_dim3_axis0_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim3_axis0_3() {
+static std::vector<MixedTypedExample> examples_axis_dim3_axis0_3 = {
// Begin of an example
{
.operands = {
@@ -3025,8 +3290,11 @@
},
}, // End of an example
};
+return examples_axis_dim3_axis0_3;
+};
-std::vector<MixedTypedExample> examples_axis_dim3_axis0_neg_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim3_axis0_neg_3() {
+static std::vector<MixedTypedExample> examples_axis_dim3_axis0_neg_3 = {
// Begin of an example
{
.operands = {
@@ -3059,8 +3327,11 @@
},
}, // End of an example
};
+return examples_axis_dim3_axis0_neg_3;
+};
-std::vector<MixedTypedExample> examples_axis_dim3_axis1_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim3_axis1_3() {
+static std::vector<MixedTypedExample> examples_axis_dim3_axis1_3 = {
// Begin of an example
{
.operands = {
@@ -3093,8 +3364,11 @@
},
}, // End of an example
};
+return examples_axis_dim3_axis1_3;
+};
-std::vector<MixedTypedExample> examples_axis_dim3_axis1_neg_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim3_axis1_neg_3() {
+static std::vector<MixedTypedExample> examples_axis_dim3_axis1_neg_3 = {
// Begin of an example
{
.operands = {
@@ -3127,8 +3401,11 @@
},
}, // End of an example
};
+return examples_axis_dim3_axis1_neg_3;
+};
-std::vector<MixedTypedExample> examples_axis_dim3_axis2_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim3_axis2_3() {
+static std::vector<MixedTypedExample> examples_axis_dim3_axis2_3 = {
// Begin of an example
{
.operands = {
@@ -3161,8 +3438,11 @@
},
}, // End of an example
};
+return examples_axis_dim3_axis2_3;
+};
-std::vector<MixedTypedExample> examples_axis_dim3_axis2_neg_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim3_axis2_neg_3() {
+static std::vector<MixedTypedExample> examples_axis_dim3_axis2_neg_3 = {
// Begin of an example
{
.operands = {
@@ -3195,8 +3475,11 @@
},
}, // End of an example
};
+return examples_axis_dim3_axis2_neg_3;
+};
-std::vector<MixedTypedExample> examples_axis_dim2_axis0_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim2_axis0_3() {
+static std::vector<MixedTypedExample> examples_axis_dim2_axis0_3 = {
// Begin of an example
{
.operands = {
@@ -3229,8 +3512,11 @@
},
}, // End of an example
};
+return examples_axis_dim2_axis0_3;
+};
-std::vector<MixedTypedExample> examples_axis_dim2_axis0_neg_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim2_axis0_neg_3() {
+static std::vector<MixedTypedExample> examples_axis_dim2_axis0_neg_3 = {
// Begin of an example
{
.operands = {
@@ -3263,8 +3549,11 @@
},
}, // End of an example
};
+return examples_axis_dim2_axis0_neg_3;
+};
-std::vector<MixedTypedExample> examples_axis_dim2_axis1_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim2_axis1_3() {
+static std::vector<MixedTypedExample> examples_axis_dim2_axis1_3 = {
// Begin of an example
{
.operands = {
@@ -3297,8 +3586,11 @@
},
}, // End of an example
};
+return examples_axis_dim2_axis1_3;
+};
-std::vector<MixedTypedExample> examples_axis_dim2_axis1_neg_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim2_axis1_neg_3() {
+static std::vector<MixedTypedExample> examples_axis_dim2_axis1_neg_3 = {
// Begin of an example
{
.operands = {
@@ -3331,8 +3623,11 @@
},
}, // End of an example
};
+return examples_axis_dim2_axis1_neg_3;
+};
-std::vector<MixedTypedExample> examples_axis_dim1_axis0_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim1_axis0_3() {
+static std::vector<MixedTypedExample> examples_axis_dim1_axis0_3 = {
// Begin of an example
{
.operands = {
@@ -3365,8 +3660,11 @@
},
}, // End of an example
};
+return examples_axis_dim1_axis0_3;
+};
-std::vector<MixedTypedExample> examples_axis_dim1_axis0_neg_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim1_axis0_neg_3() {
+static std::vector<MixedTypedExample> examples_axis_dim1_axis0_neg_3 = {
// Begin of an example
{
.operands = {
@@ -3399,8 +3697,11 @@
},
}, // End of an example
};
+return examples_axis_dim1_axis0_neg_3;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis0_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis0_3() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis0_3 = {
// Begin of an example
{
.operands = {
@@ -3433,8 +3734,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis0_3;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis0_neg_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis0_neg_3() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis0_neg_3 = {
// Begin of an example
{
.operands = {
@@ -3467,8 +3771,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis0_neg_3;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis1_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis1_3() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis1_3 = {
// Begin of an example
{
.operands = {
@@ -3501,8 +3808,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis1_3;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis1_neg_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis1_neg_3() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis1_neg_3 = {
// Begin of an example
{
.operands = {
@@ -3535,8 +3845,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis1_neg_3;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis2_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis2_3() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis2_3 = {
// Begin of an example
{
.operands = {
@@ -3569,8 +3882,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis2_3;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis2_neg_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis2_neg_3() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis2_neg_3 = {
// Begin of an example
{
.operands = {
@@ -3603,8 +3919,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis2_neg_3;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis3_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis3_3() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis3_3 = {
// Begin of an example
{
.operands = {
@@ -3637,8 +3956,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis3_3;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis3_neg_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis3_neg_3() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis3_neg_3 = {
// Begin of an example
{
.operands = {
@@ -3671,8 +3993,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis3_neg_3;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis0_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim3_axis0_3() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis0_3 = {
// Begin of an example
{
.operands = {
@@ -3705,8 +4030,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim3_axis0_3;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis0_neg_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim3_axis0_neg_3() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis0_neg_3 = {
// Begin of an example
{
.operands = {
@@ -3739,8 +4067,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim3_axis0_neg_3;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis1_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim3_axis1_3() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis1_3 = {
// Begin of an example
{
.operands = {
@@ -3773,8 +4104,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim3_axis1_3;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis1_neg_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim3_axis1_neg_3() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis1_neg_3 = {
// Begin of an example
{
.operands = {
@@ -3807,8 +4141,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim3_axis1_neg_3;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis2_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim3_axis2_3() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis2_3 = {
// Begin of an example
{
.operands = {
@@ -3841,8 +4178,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim3_axis2_3;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis2_neg_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim3_axis2_neg_3() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis2_neg_3 = {
// Begin of an example
{
.operands = {
@@ -3875,8 +4215,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim3_axis2_neg_3;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis0_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim2_axis0_3() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis0_3 = {
// Begin of an example
{
.operands = {
@@ -3909,8 +4252,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim2_axis0_3;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis0_neg_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim2_axis0_neg_3() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis0_neg_3 = {
// Begin of an example
{
.operands = {
@@ -3943,8 +4289,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim2_axis0_neg_3;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis1_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim2_axis1_3() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis1_3 = {
// Begin of an example
{
.operands = {
@@ -3977,8 +4326,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim2_axis1_3;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis1_neg_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim2_axis1_neg_3() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis1_neg_3 = {
// Begin of an example
{
.operands = {
@@ -4011,8 +4363,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim2_axis1_neg_3;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim1_axis0_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim1_axis0_3() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim1_axis0_3 = {
// Begin of an example
{
.operands = {
@@ -4045,8 +4400,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim1_axis0_3;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim1_axis0_neg_3 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim1_axis0_neg_3() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim1_axis0_neg_3 = {
// Begin of an example
{
.operands = {
@@ -4079,8 +4437,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim1_axis0_neg_3;
+};
-std::vector<MixedTypedExample> examples_dim1_axis0 = {
+std::vector<MixedTypedExample>& get_examples_dim1_axis0() {
+static std::vector<MixedTypedExample> examples_dim1_axis0 = {
// Begin of an example
{
.operands = {
@@ -4113,8 +4474,11 @@
},
}, // End of an example
};
+return examples_dim1_axis0;
+};
-std::vector<MixedTypedExample> examples_dim2_axis1 = {
+std::vector<MixedTypedExample>& get_examples_dim2_axis1() {
+static std::vector<MixedTypedExample> examples_dim2_axis1 = {
// Begin of an example
{
.operands = {
@@ -4147,8 +4511,11 @@
},
}, // End of an example
};
+return examples_dim2_axis1;
+};
-std::vector<MixedTypedExample> examples_dim3_axis2 = {
+std::vector<MixedTypedExample>& get_examples_dim3_axis2() {
+static std::vector<MixedTypedExample> examples_dim3_axis2 = {
// Begin of an example
{
.operands = {
@@ -4181,8 +4548,11 @@
},
}, // End of an example
};
+return examples_dim3_axis2;
+};
-std::vector<MixedTypedExample> examples_relaxed_dim1_axis0 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_dim1_axis0() {
+static std::vector<MixedTypedExample> examples_relaxed_dim1_axis0 = {
// Begin of an example
{
.operands = {
@@ -4215,8 +4585,11 @@
},
}, // End of an example
};
+return examples_relaxed_dim1_axis0;
+};
-std::vector<MixedTypedExample> examples_relaxed_dim2_axis1 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_dim2_axis1() {
+static std::vector<MixedTypedExample> examples_relaxed_dim2_axis1 = {
// Begin of an example
{
.operands = {
@@ -4249,8 +4622,11 @@
},
}, // End of an example
};
+return examples_relaxed_dim2_axis1;
+};
-std::vector<MixedTypedExample> examples_relaxed_dim3_axis2 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_dim3_axis2() {
+static std::vector<MixedTypedExample> examples_relaxed_dim3_axis2 = {
// Begin of an example
{
.operands = {
@@ -4283,4 +4659,6 @@
},
}, // End of an example
};
+return examples_relaxed_dim3_axis2;
+};
diff --git a/nn/runtime/test/generated/examples/logistic_float16_1.example.cpp b/nn/runtime/test/generated/examples/logistic_float16_1.example.cpp
index 67ad0f6..95707c0 100644
--- a/nn/runtime/test/generated/examples/logistic_float16_1.example.cpp
+++ b/nn/runtime/test/generated/examples/logistic_float16_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: logistic_float16_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -12,7 +13,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, 2.0f, 4.0f, 8.0f}}},
@@ -25,7 +26,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.7310585975646973f, 0.8807970285415649f, 0.9820137619972229f, 0.9996646642684937f}}},
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/logistic_float16_2.example.cpp b/nn/runtime/test/generated/examples/logistic_float16_2.example.cpp
index 85d81a3..6ec4236 100644
--- a/nn/runtime/test/generated/examples/logistic_float16_2.example.cpp
+++ b/nn/runtime/test/generated/examples/logistic_float16_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: logistic_float16_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -12,7 +13,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.0f, 1.0f, 510.0f, 3.0f, 508.0f, 5.0f, 506.0f, 7.0f, 504.0f, 9.0f, 502.0f, 11.0f, 500.0f, 13.0f, 498.0f, 15.0f, 496.0f, 17.0f, 494.0f, 19.0f, 492.0f, 21.0f, 490.0f, 23.0f, 488.0f, 25.0f, 486.0f, 27.0f, 484.0f, 29.0f, 482.0f, 31.0f, 480.0f, 33.0f, 478.0f, 35.0f, 476.0f, 37.0f, 474.0f, 39.0f, 472.0f, 41.0f, 470.0f, 43.0f, 468.0f, 45.0f, 466.0f, 47.0f, 464.0f, 49.0f, 462.0f, 51.0f, 460.0f, 53.0f, 458.0f, 55.0f, 456.0f, 57.0f, 454.0f, 59.0f, 452.0f, 61.0f, 450.0f, 63.0f, 448.0f, 65.0f, 446.0f, 67.0f, 444.0f, 69.0f, 442.0f, 71.0f, 440.0f, 73.0f, 438.0f, 75.0f, 436.0f, 77.0f, 434.0f, 79.0f, 432.0f, 81.0f, 430.0f, 83.0f, 428.0f, 85.0f, 426.0f, 87.0f, 424.0f, 89.0f, 422.0f, 91.0f, 420.0f, 93.0f, 418.0f, 95.0f, 416.0f, 97.0f, 414.0f, 99.0f, 412.0f, 101.0f, 410.0f, 103.0f, 408.0f, 105.0f, 406.0f, 107.0f, 404.0f, 109.0f, 402.0f, 111.0f, 400.0f, 113.0f, 398.0f, 115.0f, 396.0f, 117.0f, 394.0f, 119.0f, 392.0f, 121.0f, 390.0f, 123.0f, 388.0f, 125.0f, 386.0f, 127.0f, 384.0f, 129.0f, 382.0f, 131.0f, 380.0f, 133.0f, 378.0f, 135.0f, 376.0f, 137.0f, 374.0f, 139.0f, 372.0f, 141.0f, 370.0f, 143.0f, 368.0f, 145.0f, 366.0f, 147.0f, 364.0f, 149.0f, 362.0f, 151.0f, 360.0f, 153.0f, 358.0f, 155.0f, 356.0f, 157.0f, 354.0f, 159.0f, 352.0f, 161.0f, 350.0f, 163.0f, 348.0f, 165.0f, 346.0f, 167.0f, 344.0f, 169.0f, 342.0f, 171.0f, 340.0f, 173.0f, 338.0f, 175.0f, 336.0f, 177.0f, 334.0f, 179.0f, 332.0f, 181.0f, 330.0f, 183.0f, 328.0f, 185.0f, 326.0f, 187.0f, 324.0f, 189.0f, 322.0f, 191.0f, 320.0f, 193.0f, 318.0f, 195.0f, 316.0f, 197.0f, 314.0f, 199.0f, 312.0f, 201.0f, 310.0f, 203.0f, 308.0f, 205.0f, 306.0f, 207.0f, 304.0f, 209.0f, 302.0f, 211.0f, 300.0f, 213.0f, 298.0f, 215.0f, 296.0f, 217.0f, 294.0f, 219.0f, 292.0f, 221.0f, 290.0f, 223.0f, 288.0f, 225.0f, 286.0f, 227.0f, 284.0f, 229.0f, 282.0f, 231.0f, 280.0f, 233.0f, 278.0f, 235.0f, 276.0f, 237.0f, 274.0f, 239.0f, 272.0f, 241.0f, 270.0f, 243.0f, 268.0f, 245.0f, 266.0f, 247.0f, 264.0f, 249.0f, 262.0f, 251.0f, 260.0f, 253.0f, 258.0f, 255.0f, 256.0f, 257.0f, 254.0f, 259.0f, 252.0f, 261.0f, 250.0f, 263.0f, 248.0f, 265.0f, 246.0f, 267.0f, 244.0f, 269.0f, 242.0f, 271.0f, 240.0f, 273.0f, 238.0f, 275.0f, 236.0f, 277.0f, 234.0f, 279.0f, 232.0f, 281.0f, 230.0f, 283.0f, 228.0f, 285.0f, 226.0f, 287.0f, 224.0f, 289.0f, 222.0f, 291.0f, 220.0f, 293.0f, 218.0f, 295.0f, 216.0f, 297.0f, 214.0f, 299.0f, 212.0f, 301.0f, 210.0f, 303.0f, 208.0f, 305.0f, 206.0f, 307.0f, 204.0f, 309.0f, 202.0f, 311.0f, 200.0f, 313.0f, 198.0f, 315.0f, 196.0f, 317.0f, 194.0f, 319.0f, 192.0f, 321.0f, 190.0f, 323.0f, 188.0f, 325.0f, 186.0f, 327.0f, 184.0f, 329.0f, 182.0f, 331.0f, 180.0f, 333.0f, 178.0f, 335.0f, 176.0f, 337.0f, 174.0f, 339.0f, 172.0f, 341.0f, 170.0f, 343.0f, 168.0f, 345.0f, 166.0f, 347.0f, 164.0f, 349.0f, 162.0f, 351.0f, 160.0f, 353.0f, 158.0f, 355.0f, 156.0f, 357.0f, 154.0f, 359.0f, 152.0f, 361.0f, 150.0f, 363.0f, 148.0f, 365.0f, 146.0f, 367.0f, 144.0f, 369.0f, 142.0f, 371.0f, 140.0f, 373.0f, 138.0f, 375.0f, 136.0f, 377.0f, 134.0f, 379.0f, 132.0f, 381.0f, 130.0f, 383.0f, 128.0f, 385.0f, 126.0f, 387.0f, 124.0f, 389.0f, 122.0f, 391.0f, 120.0f, 393.0f, 118.0f, 395.0f, 116.0f, 397.0f, 114.0f, 399.0f, 112.0f, 401.0f, 110.0f, 403.0f, 108.0f, 405.0f, 106.0f, 407.0f, 104.0f, 409.0f, 102.0f, 411.0f, 100.0f, 413.0f, 98.0f, 415.0f, 96.0f, 417.0f, 94.0f, 419.0f, 92.0f, 421.0f, 90.0f, 423.0f, 88.0f, 425.0f, 86.0f, 427.0f, 84.0f, 429.0f, 82.0f, 431.0f, 80.0f, 433.0f, 78.0f, 435.0f, 76.0f, 437.0f, 74.0f, 439.0f, 72.0f, 441.0f, 70.0f, 443.0f, 68.0f, 445.0f, 66.0f, 447.0f, 64.0f, 449.0f, 62.0f, 451.0f, 60.0f, 453.0f, 58.0f, 455.0f, 56.0f, 457.0f, 54.0f, 459.0f, 52.0f, 461.0f, 50.0f, 463.0f, 48.0f, 465.0f, 46.0f, 467.0f, 44.0f, 469.0f, 42.0f, 471.0f, 40.0f, 473.0f, 38.0f, 475.0f, 36.0f, 477.0f, 34.0f, 479.0f, 32.0f, 481.0f, 30.0f, 483.0f, 28.0f, 485.0f, 26.0f, 487.0f, 24.0f, 489.0f, 22.0f, 491.0f, 20.0f, 493.0f, 18.0f, 495.0f, 16.0f, 497.0f, 14.0f, 499.0f, 12.0f, 501.0f, 10.0f, 503.0f, 8.0f, 505.0f, 6.0f, 507.0f, 4.0f, 509.0f, 2.0f, 511.0f, 0.0f, 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@@ -25,7 +26,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
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0.9999998874648379f, 1.0f, 0.9999991684719722f, 1.0f, 0.9999938558253978f, 1.0f, 0.9999546021312976f, 1.0f, 0.9996646498695336f, 1.0f, 0.9975273768433653f, 1.0f, 0.9820137900379085f, 1.0f, 0.8807970779778823f, 1.0f}}},
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/logistic_float_1.example.cpp b/nn/runtime/test/generated/examples/logistic_float_1.example.cpp
index 5d5d458..8f5fe45 100644
--- a/nn/runtime/test/generated/examples/logistic_float_1.example.cpp
+++ b/nn/runtime/test/generated/examples/logistic_float_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: logistic_float_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/logistic_float_1_relaxed.example.cpp b/nn/runtime/test/generated/examples/logistic_float_1_relaxed.example.cpp
index 83f1bf7..a4851a6 100644
--- a/nn/runtime/test/generated/examples/logistic_float_1_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/logistic_float_1_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: logistic_float_1_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/logistic_float_2.example.cpp b/nn/runtime/test/generated/examples/logistic_float_2.example.cpp
index 828e204..a2c6a64 100644
--- a/nn/runtime/test/generated/examples/logistic_float_2.example.cpp
+++ b/nn/runtime/test/generated/examples/logistic_float_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: logistic_float_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/logistic_float_2_relaxed.example.cpp b/nn/runtime/test/generated/examples/logistic_float_2_relaxed.example.cpp
index ff83646..85e2c33 100644
--- a/nn/runtime/test/generated/examples/logistic_float_2_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/logistic_float_2_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: logistic_float_2_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/logistic_quant8_1.example.cpp b/nn/runtime/test/generated/examples/logistic_quant8_1.example.cpp
index 92c4f8e..d957d35 100644
--- a/nn/runtime/test/generated/examples/logistic_quant8_1.example.cpp
+++ b/nn/runtime/test/generated/examples/logistic_quant8_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: logistic_quant8_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/logistic_quant8_2.example.cpp b/nn/runtime/test/generated/examples/logistic_quant8_2.example.cpp
index 530bbf8..a4920d7 100644
--- a/nn/runtime/test/generated/examples/logistic_quant8_2.example.cpp
+++ b/nn/runtime/test/generated/examples/logistic_quant8_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: logistic_quant8_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/lsh_projection.example.cpp b/nn/runtime/test/generated/examples/lsh_projection.example.cpp
index 8eb12df..f9c6c81 100644
--- a/nn/runtime/test/generated/examples/lsh_projection.example.cpp
+++ b/nn/runtime/test/generated/examples/lsh_projection.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: lsh_projection.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/lsh_projection_2.example.cpp b/nn/runtime/test/generated/examples/lsh_projection_2.example.cpp
index 52b0e32..ce6537b 100644
--- a/nn/runtime/test/generated/examples/lsh_projection_2.example.cpp
+++ b/nn/runtime/test/generated/examples/lsh_projection_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: lsh_projection_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/lsh_projection_2_relaxed.example.cpp b/nn/runtime/test/generated/examples/lsh_projection_2_relaxed.example.cpp
index 624a36b..eed8502 100644
--- a/nn/runtime/test/generated/examples/lsh_projection_2_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/lsh_projection_2_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: lsh_projection_2_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/lsh_projection_3_relaxed.example.cpp b/nn/runtime/test/generated/examples/lsh_projection_3_relaxed.example.cpp
index 4f5ca0b..03b5627 100644
--- a/nn/runtime/test/generated/examples/lsh_projection_3_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/lsh_projection_3_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: lsh_projection_3_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/lsh_projection_4_relaxed.example.cpp b/nn/runtime/test/generated/examples/lsh_projection_4_relaxed.example.cpp
index c7ff59b..e85830d 100644
--- a/nn/runtime/test/generated/examples/lsh_projection_4_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/lsh_projection_4_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: lsh_projection_4_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/lsh_projection_deprecated.example.cpp b/nn/runtime/test/generated/examples/lsh_projection_deprecated.example.cpp
index 582ab8f..0491633 100644
--- a/nn/runtime/test/generated/examples/lsh_projection_deprecated.example.cpp
+++ b/nn/runtime/test/generated/examples/lsh_projection_deprecated.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: lsh_projection_deprecated.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/lsh_projection_relaxed.example.cpp b/nn/runtime/test/generated/examples/lsh_projection_relaxed.example.cpp
index d0321a2..48c9612 100644
--- a/nn/runtime/test/generated/examples/lsh_projection_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/lsh_projection_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: lsh_projection_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/lsh_projection_weights_as_inputs.example.cpp b/nn/runtime/test/generated/examples/lsh_projection_weights_as_inputs.example.cpp
index 518ff7f..c018af4 100644
--- a/nn/runtime/test/generated/examples/lsh_projection_weights_as_inputs.example.cpp
+++ b/nn/runtime/test/generated/examples/lsh_projection_weights_as_inputs.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: lsh_projection_weights_as_inputs.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/lsh_projection_weights_as_inputs_relaxed.example.cpp b/nn/runtime/test/generated/examples/lsh_projection_weights_as_inputs_relaxed.example.cpp
index 7a98b63..be15d14 100644
--- a/nn/runtime/test/generated/examples/lsh_projection_weights_as_inputs_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/lsh_projection_weights_as_inputs_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: lsh_projection_weights_as_inputs_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/lstm.example.cpp b/nn/runtime/test/generated/examples/lstm.example.cpp
index 6e0db75..aaa6e26 100644
--- a/nn/runtime/test/generated/examples/lstm.example.cpp
+++ b/nn/runtime/test/generated/examples/lstm.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: lstm.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/lstm2.example.cpp b/nn/runtime/test/generated/examples/lstm2.example.cpp
index 51aff38..72249b3 100644
--- a/nn/runtime/test/generated/examples/lstm2.example.cpp
+++ b/nn/runtime/test/generated/examples/lstm2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: lstm2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/lstm2_relaxed.example.cpp b/nn/runtime/test/generated/examples/lstm2_relaxed.example.cpp
index c1a672a..3958b75 100644
--- a/nn/runtime/test/generated/examples/lstm2_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/lstm2_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: lstm2_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/lstm2_state.example.cpp b/nn/runtime/test/generated/examples/lstm2_state.example.cpp
index 807dbf8..1d03232 100644
--- a/nn/runtime/test/generated/examples/lstm2_state.example.cpp
+++ b/nn/runtime/test/generated/examples/lstm2_state.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: lstm2_state.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/lstm2_state2.example.cpp b/nn/runtime/test/generated/examples/lstm2_state2.example.cpp
index 9d60d48..abbc41e 100644
--- a/nn/runtime/test/generated/examples/lstm2_state2.example.cpp
+++ b/nn/runtime/test/generated/examples/lstm2_state2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: lstm2_state2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/lstm2_state2_relaxed.example.cpp b/nn/runtime/test/generated/examples/lstm2_state2_relaxed.example.cpp
index 135604a..a0b2405 100644
--- a/nn/runtime/test/generated/examples/lstm2_state2_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/lstm2_state2_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: lstm2_state2_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/lstm2_state_relaxed.example.cpp b/nn/runtime/test/generated/examples/lstm2_state_relaxed.example.cpp
index 76839e5..5756c9e 100644
--- a/nn/runtime/test/generated/examples/lstm2_state_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/lstm2_state_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: lstm2_state_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/lstm3.example.cpp b/nn/runtime/test/generated/examples/lstm3.example.cpp
index dc921c0..4b55e01 100644
--- a/nn/runtime/test/generated/examples/lstm3.example.cpp
+++ b/nn/runtime/test/generated/examples/lstm3.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: lstm3.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/lstm3_relaxed.example.cpp b/nn/runtime/test/generated/examples/lstm3_relaxed.example.cpp
index 81eb507..22dd654 100644
--- a/nn/runtime/test/generated/examples/lstm3_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/lstm3_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: lstm3_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/lstm3_state.example.cpp b/nn/runtime/test/generated/examples/lstm3_state.example.cpp
index c99047b..87010d3 100644
--- a/nn/runtime/test/generated/examples/lstm3_state.example.cpp
+++ b/nn/runtime/test/generated/examples/lstm3_state.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: lstm3_state.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/lstm3_state2.example.cpp b/nn/runtime/test/generated/examples/lstm3_state2.example.cpp
index 09c67fa..94f336a 100644
--- a/nn/runtime/test/generated/examples/lstm3_state2.example.cpp
+++ b/nn/runtime/test/generated/examples/lstm3_state2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: lstm3_state2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/lstm3_state2_relaxed.example.cpp b/nn/runtime/test/generated/examples/lstm3_state2_relaxed.example.cpp
index 28aa4a7..1a30fdb 100644
--- a/nn/runtime/test/generated/examples/lstm3_state2_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/lstm3_state2_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: lstm3_state2_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/lstm3_state3.example.cpp b/nn/runtime/test/generated/examples/lstm3_state3.example.cpp
index d310029..2f031b8 100644
--- a/nn/runtime/test/generated/examples/lstm3_state3.example.cpp
+++ b/nn/runtime/test/generated/examples/lstm3_state3.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: lstm3_state3.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/lstm3_state3_relaxed.example.cpp b/nn/runtime/test/generated/examples/lstm3_state3_relaxed.example.cpp
index f855b4c..3202ece 100644
--- a/nn/runtime/test/generated/examples/lstm3_state3_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/lstm3_state3_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: lstm3_state3_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/lstm3_state_relaxed.example.cpp b/nn/runtime/test/generated/examples/lstm3_state_relaxed.example.cpp
index 3f443b9..68426d4 100644
--- a/nn/runtime/test/generated/examples/lstm3_state_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/lstm3_state_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: lstm3_state_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/lstm_relaxed.example.cpp b/nn/runtime/test/generated/examples/lstm_relaxed.example.cpp
index d78ab36..79f4cbe 100644
--- a/nn/runtime/test/generated/examples/lstm_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/lstm_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: lstm_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/lstm_state.example.cpp b/nn/runtime/test/generated/examples/lstm_state.example.cpp
index 7b6d827..5620f77 100644
--- a/nn/runtime/test/generated/examples/lstm_state.example.cpp
+++ b/nn/runtime/test/generated/examples/lstm_state.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: lstm_state.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/lstm_state2.example.cpp b/nn/runtime/test/generated/examples/lstm_state2.example.cpp
index 2452bf3..60314c4 100644
--- a/nn/runtime/test/generated/examples/lstm_state2.example.cpp
+++ b/nn/runtime/test/generated/examples/lstm_state2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: lstm_state2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/lstm_state2_relaxed.example.cpp b/nn/runtime/test/generated/examples/lstm_state2_relaxed.example.cpp
index 6f569ae..ccf0b5a 100644
--- a/nn/runtime/test/generated/examples/lstm_state2_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/lstm_state2_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: lstm_state2_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/lstm_state_relaxed.example.cpp b/nn/runtime/test/generated/examples/lstm_state_relaxed.example.cpp
index 18fb3ac..946b246 100644
--- a/nn/runtime/test/generated/examples/lstm_state_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/lstm_state_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: lstm_state_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/max_pool_float_1.example.cpp b/nn/runtime/test/generated/examples/max_pool_float_1.example.cpp
index 5070749..d24bb20 100644
--- a/nn/runtime/test/generated/examples/max_pool_float_1.example.cpp
+++ b/nn/runtime/test/generated/examples/max_pool_float_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: max_pool_float_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/max_pool_float_1_relaxed.example.cpp b/nn/runtime/test/generated/examples/max_pool_float_1_relaxed.example.cpp
index 44b264e..22e6d5c 100644
--- a/nn/runtime/test/generated/examples/max_pool_float_1_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/max_pool_float_1_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: max_pool_float_1_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/max_pool_float_2.example.cpp b/nn/runtime/test/generated/examples/max_pool_float_2.example.cpp
index a53405c..268fb9f 100644
--- a/nn/runtime/test/generated/examples/max_pool_float_2.example.cpp
+++ b/nn/runtime/test/generated/examples/max_pool_float_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: max_pool_float_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/max_pool_float_2_relaxed.example.cpp b/nn/runtime/test/generated/examples/max_pool_float_2_relaxed.example.cpp
index ab05c6b..5b2fc90 100644
--- a/nn/runtime/test/generated/examples/max_pool_float_2_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/max_pool_float_2_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: max_pool_float_2_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/max_pool_float_3.example.cpp b/nn/runtime/test/generated/examples/max_pool_float_3.example.cpp
index a059522..e1197f5 100644
--- a/nn/runtime/test/generated/examples/max_pool_float_3.example.cpp
+++ b/nn/runtime/test/generated/examples/max_pool_float_3.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: max_pool_float_3.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/max_pool_float_3_relaxed.example.cpp b/nn/runtime/test/generated/examples/max_pool_float_3_relaxed.example.cpp
index fa11fb1..f9bb95c 100644
--- a/nn/runtime/test/generated/examples/max_pool_float_3_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/max_pool_float_3_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: max_pool_float_3_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/max_pool_float_4.example.cpp b/nn/runtime/test/generated/examples/max_pool_float_4.example.cpp
index 59d6786..ce55b46 100644
--- a/nn/runtime/test/generated/examples/max_pool_float_4.example.cpp
+++ b/nn/runtime/test/generated/examples/max_pool_float_4.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: max_pool_float_4.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/max_pool_float_4_relaxed.example.cpp b/nn/runtime/test/generated/examples/max_pool_float_4_relaxed.example.cpp
index a7a99c4..8b6aa2e 100644
--- a/nn/runtime/test/generated/examples/max_pool_float_4_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/max_pool_float_4_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: max_pool_float_4_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/max_pool_quant8_1.example.cpp b/nn/runtime/test/generated/examples/max_pool_quant8_1.example.cpp
index e034210..d6fcaf8 100644
--- a/nn/runtime/test/generated/examples/max_pool_quant8_1.example.cpp
+++ b/nn/runtime/test/generated/examples/max_pool_quant8_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: max_pool_quant8_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/max_pool_quant8_2.example.cpp b/nn/runtime/test/generated/examples/max_pool_quant8_2.example.cpp
index 81e3318..192a4cf 100644
--- a/nn/runtime/test/generated/examples/max_pool_quant8_2.example.cpp
+++ b/nn/runtime/test/generated/examples/max_pool_quant8_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: max_pool_quant8_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/max_pool_quant8_3.example.cpp b/nn/runtime/test/generated/examples/max_pool_quant8_3.example.cpp
index 589256c..4559df8 100644
--- a/nn/runtime/test/generated/examples/max_pool_quant8_3.example.cpp
+++ b/nn/runtime/test/generated/examples/max_pool_quant8_3.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: max_pool_quant8_3.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/max_pool_quant8_4.example.cpp b/nn/runtime/test/generated/examples/max_pool_quant8_4.example.cpp
index e111588..6858d1f 100644
--- a/nn/runtime/test/generated/examples/max_pool_quant8_4.example.cpp
+++ b/nn/runtime/test/generated/examples/max_pool_quant8_4.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: max_pool_quant8_4.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/max_pool_v1_2.example.cpp b/nn/runtime/test/generated/examples/max_pool_v1_2.example.cpp
index 8018aed..96bf162 100644
--- a/nn/runtime/test/generated/examples/max_pool_v1_2.example.cpp
+++ b/nn/runtime/test/generated/examples/max_pool_v1_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: max_pool_v1_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples_nhwc = {
+std::vector<MixedTypedExample>& get_examples_nhwc() {
+static std::vector<MixedTypedExample> examples_nhwc = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples_nhwc;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,11 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed;
+};
-std::vector<MixedTypedExample> examples_nhwc_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8 = {
// Begin of an example
{
.operands = {
@@ -101,8 +108,11 @@
},
}, // End of an example
};
+return examples_nhwc_quant8;
+};
-std::vector<MixedTypedExample> examples_nchw = {
+std::vector<MixedTypedExample>& get_examples_nchw() {
+static std::vector<MixedTypedExample> examples_nchw = {
// Begin of an example
{
.operands = {
@@ -135,8 +145,11 @@
},
}, // End of an example
};
+return examples_nchw;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed = {
// Begin of an example
{
.operands = {
@@ -169,8 +182,11 @@
},
}, // End of an example
};
+return examples_nchw_relaxed;
+};
-std::vector<MixedTypedExample> examples_nchw_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nchw_quant8() {
+static std::vector<MixedTypedExample> examples_nchw_quant8 = {
// Begin of an example
{
.operands = {
@@ -203,8 +219,11 @@
},
}, // End of an example
};
+return examples_nchw_quant8;
+};
-std::vector<MixedTypedExample> examples_nhwc_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_2() {
+static std::vector<MixedTypedExample> examples_nhwc_2 = {
// Begin of an example
{
.operands = {
@@ -237,8 +256,11 @@
},
}, // End of an example
};
+return examples_nhwc_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed_2() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -271,8 +293,11 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_quant8_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8_2() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8_2 = {
// Begin of an example
{
.operands = {
@@ -305,8 +330,11 @@
},
}, // End of an example
};
+return examples_nhwc_quant8_2;
+};
-std::vector<MixedTypedExample> examples_nchw_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_2() {
+static std::vector<MixedTypedExample> examples_nchw_2 = {
// Begin of an example
{
.operands = {
@@ -339,8 +367,11 @@
},
}, // End of an example
};
+return examples_nchw_2;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed_2() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -373,8 +404,11 @@
},
}, // End of an example
};
+return examples_nchw_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_nchw_quant8_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_quant8_2() {
+static std::vector<MixedTypedExample> examples_nchw_quant8_2 = {
// Begin of an example
{
.operands = {
@@ -407,8 +441,11 @@
},
}, // End of an example
};
+return examples_nchw_quant8_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_3 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_3() {
+static std::vector<MixedTypedExample> examples_nhwc_3 = {
// Begin of an example
{
.operands = {
@@ -441,8 +478,11 @@
},
}, // End of an example
};
+return examples_nhwc_3;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed_3 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed_3() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed_3 = {
// Begin of an example
{
.operands = {
@@ -475,8 +515,11 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed_3;
+};
-std::vector<MixedTypedExample> examples_nhwc_quant8_3 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8_3() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8_3 = {
// Begin of an example
{
.operands = {
@@ -509,8 +552,11 @@
},
}, // End of an example
};
+return examples_nhwc_quant8_3;
+};
-std::vector<MixedTypedExample> examples_nchw_3 = {
+std::vector<MixedTypedExample>& get_examples_nchw_3() {
+static std::vector<MixedTypedExample> examples_nchw_3 = {
// Begin of an example
{
.operands = {
@@ -543,8 +589,11 @@
},
}, // End of an example
};
+return examples_nchw_3;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed_3 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed_3() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed_3 = {
// Begin of an example
{
.operands = {
@@ -577,8 +626,11 @@
},
}, // End of an example
};
+return examples_nchw_relaxed_3;
+};
-std::vector<MixedTypedExample> examples_nchw_quant8_3 = {
+std::vector<MixedTypedExample>& get_examples_nchw_quant8_3() {
+static std::vector<MixedTypedExample> examples_nchw_quant8_3 = {
// Begin of an example
{
.operands = {
@@ -611,8 +663,11 @@
},
}, // End of an example
};
+return examples_nchw_quant8_3;
+};
-std::vector<MixedTypedExample> examples_nhwc_4 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_4() {
+static std::vector<MixedTypedExample> examples_nhwc_4 = {
// Begin of an example
{
.operands = {
@@ -645,8 +700,11 @@
},
}, // End of an example
};
+return examples_nhwc_4;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed_4 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed_4() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed_4 = {
// Begin of an example
{
.operands = {
@@ -679,8 +737,11 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed_4;
+};
-std::vector<MixedTypedExample> examples_nhwc_quant8_4 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8_4() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8_4 = {
// Begin of an example
{
.operands = {
@@ -713,8 +774,11 @@
},
}, // End of an example
};
+return examples_nhwc_quant8_4;
+};
-std::vector<MixedTypedExample> examples_nchw_4 = {
+std::vector<MixedTypedExample>& get_examples_nchw_4() {
+static std::vector<MixedTypedExample> examples_nchw_4 = {
// Begin of an example
{
.operands = {
@@ -747,8 +811,11 @@
},
}, // End of an example
};
+return examples_nchw_4;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed_4 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed_4() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed_4 = {
// Begin of an example
{
.operands = {
@@ -781,8 +848,11 @@
},
}, // End of an example
};
+return examples_nchw_relaxed_4;
+};
-std::vector<MixedTypedExample> examples_nchw_quant8_4 = {
+std::vector<MixedTypedExample>& get_examples_nchw_quant8_4() {
+static std::vector<MixedTypedExample> examples_nchw_quant8_4 = {
// Begin of an example
{
.operands = {
@@ -815,4 +885,6 @@
},
}, // End of an example
};
+return examples_nchw_quant8_4;
+};
diff --git a/nn/runtime/test/generated/examples/maximum.example.cpp b/nn/runtime/test/generated/examples/maximum.example.cpp
index 0188b0d..763422f 100644
--- a/nn/runtime/test/generated/examples/maximum.example.cpp
+++ b/nn/runtime/test/generated/examples/maximum.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: maximum.mod.py). Do not edit
-std::vector<MixedTypedExample> examples_simple = {
+std::vector<MixedTypedExample>& get_examples_simple() {
+static std::vector<MixedTypedExample> examples_simple = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples_simple;
+};
-std::vector<MixedTypedExample> examples_simple_relaxed = {
+std::vector<MixedTypedExample>& get_examples_simple_relaxed() {
+static std::vector<MixedTypedExample> examples_simple_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,11 @@
},
}, // End of an example
};
+return examples_simple_relaxed;
+};
-std::vector<MixedTypedExample> examples_simple_quant8 = {
+std::vector<MixedTypedExample>& get_examples_simple_quant8() {
+static std::vector<MixedTypedExample> examples_simple_quant8 = {
// Begin of an example
{
.operands = {
@@ -101,8 +108,11 @@
},
}, // End of an example
};
+return examples_simple_quant8;
+};
-std::vector<MixedTypedExample> examples_simple_int32 = {
+std::vector<MixedTypedExample>& get_examples_simple_int32() {
+static std::vector<MixedTypedExample> examples_simple_int32 = {
// Begin of an example
{
.operands = {
@@ -135,8 +145,11 @@
},
}, // End of an example
};
+return examples_simple_int32;
+};
-std::vector<MixedTypedExample> examples_simple_float16 = {
+std::vector<MixedTypedExample>& get_examples_simple_float16() {
+static std::vector<MixedTypedExample> examples_simple_float16 = {
// Begin of an example
{
.operands = {
@@ -169,8 +182,11 @@
},
}, // End of an example
};
+return examples_simple_float16;
+};
-std::vector<MixedTypedExample> examples_broadcast = {
+std::vector<MixedTypedExample>& get_examples_broadcast() {
+static std::vector<MixedTypedExample> examples_broadcast = {
// Begin of an example
{
.operands = {
@@ -203,8 +219,11 @@
},
}, // End of an example
};
+return examples_broadcast;
+};
-std::vector<MixedTypedExample> examples_broadcast_relaxed = {
+std::vector<MixedTypedExample>& get_examples_broadcast_relaxed() {
+static std::vector<MixedTypedExample> examples_broadcast_relaxed = {
// Begin of an example
{
.operands = {
@@ -237,8 +256,11 @@
},
}, // End of an example
};
+return examples_broadcast_relaxed;
+};
-std::vector<MixedTypedExample> examples_broadcast_quant8 = {
+std::vector<MixedTypedExample>& get_examples_broadcast_quant8() {
+static std::vector<MixedTypedExample> examples_broadcast_quant8 = {
// Begin of an example
{
.operands = {
@@ -271,8 +293,11 @@
},
}, // End of an example
};
+return examples_broadcast_quant8;
+};
-std::vector<MixedTypedExample> examples_broadcast_int32 = {
+std::vector<MixedTypedExample>& get_examples_broadcast_int32() {
+static std::vector<MixedTypedExample> examples_broadcast_int32 = {
// Begin of an example
{
.operands = {
@@ -305,8 +330,11 @@
},
}, // End of an example
};
+return examples_broadcast_int32;
+};
-std::vector<MixedTypedExample> examples_broadcast_float16 = {
+std::vector<MixedTypedExample>& get_examples_broadcast_float16() {
+static std::vector<MixedTypedExample> examples_broadcast_float16 = {
// Begin of an example
{
.operands = {
@@ -339,4 +367,6 @@
},
}, // End of an example
};
+return examples_broadcast_float16;
+};
diff --git a/nn/runtime/test/generated/examples/mean.example.cpp b/nn/runtime/test/generated/examples/mean.example.cpp
index 45e9973..f6b2207 100644
--- a/nn/runtime/test/generated/examples/mean.example.cpp
+++ b/nn/runtime/test/generated/examples/mean.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: mean.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/mean_float_1.example.cpp b/nn/runtime/test/generated/examples/mean_float_1.example.cpp
index 0157f75..7506847 100644
--- a/nn/runtime/test/generated/examples/mean_float_1.example.cpp
+++ b/nn/runtime/test/generated/examples/mean_float_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: mean_float_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/mean_float_1_relaxed.example.cpp b/nn/runtime/test/generated/examples/mean_float_1_relaxed.example.cpp
index 9aa4e5e..387983f 100644
--- a/nn/runtime/test/generated/examples/mean_float_1_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/mean_float_1_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: mean_float_1_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/mean_float_2.example.cpp b/nn/runtime/test/generated/examples/mean_float_2.example.cpp
index 8ee8128..9657b98 100644
--- a/nn/runtime/test/generated/examples/mean_float_2.example.cpp
+++ b/nn/runtime/test/generated/examples/mean_float_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: mean_float_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/mean_float_2_relaxed.example.cpp b/nn/runtime/test/generated/examples/mean_float_2_relaxed.example.cpp
index 917662d..b3efdb2 100644
--- a/nn/runtime/test/generated/examples/mean_float_2_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/mean_float_2_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: mean_float_2_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/mean_quant8_1.example.cpp b/nn/runtime/test/generated/examples/mean_quant8_1.example.cpp
index 2656c23..bb0ad31 100644
--- a/nn/runtime/test/generated/examples/mean_quant8_1.example.cpp
+++ b/nn/runtime/test/generated/examples/mean_quant8_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: mean_quant8_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/mean_quant8_2.example.cpp b/nn/runtime/test/generated/examples/mean_quant8_2.example.cpp
index 0511492..54a300f 100644
--- a/nn/runtime/test/generated/examples/mean_quant8_2.example.cpp
+++ b/nn/runtime/test/generated/examples/mean_quant8_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: mean_quant8_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/mean_relaxed.example.cpp b/nn/runtime/test/generated/examples/mean_relaxed.example.cpp
index f4f96eb..c944019 100644
--- a/nn/runtime/test/generated/examples/mean_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/mean_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: mean_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/minimum.example.cpp b/nn/runtime/test/generated/examples/minimum.example.cpp
index 250aa19..f3d663f 100644
--- a/nn/runtime/test/generated/examples/minimum.example.cpp
+++ b/nn/runtime/test/generated/examples/minimum.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: minimum.mod.py). Do not edit
-std::vector<MixedTypedExample> examples_simple = {
+std::vector<MixedTypedExample>& get_examples_simple() {
+static std::vector<MixedTypedExample> examples_simple = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples_simple;
+};
-std::vector<MixedTypedExample> examples_simple_relaxed = {
+std::vector<MixedTypedExample>& get_examples_simple_relaxed() {
+static std::vector<MixedTypedExample> examples_simple_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,11 @@
},
}, // End of an example
};
+return examples_simple_relaxed;
+};
-std::vector<MixedTypedExample> examples_simple_quant8 = {
+std::vector<MixedTypedExample>& get_examples_simple_quant8() {
+static std::vector<MixedTypedExample> examples_simple_quant8 = {
// Begin of an example
{
.operands = {
@@ -101,8 +108,11 @@
},
}, // End of an example
};
+return examples_simple_quant8;
+};
-std::vector<MixedTypedExample> examples_simple_int32 = {
+std::vector<MixedTypedExample>& get_examples_simple_int32() {
+static std::vector<MixedTypedExample> examples_simple_int32 = {
// Begin of an example
{
.operands = {
@@ -135,8 +145,11 @@
},
}, // End of an example
};
+return examples_simple_int32;
+};
-std::vector<MixedTypedExample> examples_simple_float16 = {
+std::vector<MixedTypedExample>& get_examples_simple_float16() {
+static std::vector<MixedTypedExample> examples_simple_float16 = {
// Begin of an example
{
.operands = {
@@ -169,8 +182,11 @@
},
}, // End of an example
};
+return examples_simple_float16;
+};
-std::vector<MixedTypedExample> examples_broadcast = {
+std::vector<MixedTypedExample>& get_examples_broadcast() {
+static std::vector<MixedTypedExample> examples_broadcast = {
// Begin of an example
{
.operands = {
@@ -203,8 +219,11 @@
},
}, // End of an example
};
+return examples_broadcast;
+};
-std::vector<MixedTypedExample> examples_broadcast_relaxed = {
+std::vector<MixedTypedExample>& get_examples_broadcast_relaxed() {
+static std::vector<MixedTypedExample> examples_broadcast_relaxed = {
// Begin of an example
{
.operands = {
@@ -237,8 +256,11 @@
},
}, // End of an example
};
+return examples_broadcast_relaxed;
+};
-std::vector<MixedTypedExample> examples_broadcast_quant8 = {
+std::vector<MixedTypedExample>& get_examples_broadcast_quant8() {
+static std::vector<MixedTypedExample> examples_broadcast_quant8 = {
// Begin of an example
{
.operands = {
@@ -271,8 +293,11 @@
},
}, // End of an example
};
+return examples_broadcast_quant8;
+};
-std::vector<MixedTypedExample> examples_broadcast_int32 = {
+std::vector<MixedTypedExample>& get_examples_broadcast_int32() {
+static std::vector<MixedTypedExample> examples_broadcast_int32 = {
// Begin of an example
{
.operands = {
@@ -305,8 +330,11 @@
},
}, // End of an example
};
+return examples_broadcast_int32;
+};
-std::vector<MixedTypedExample> examples_broadcast_float16 = {
+std::vector<MixedTypedExample>& get_examples_broadcast_float16() {
+static std::vector<MixedTypedExample> examples_broadcast_float16 = {
// Begin of an example
{
.operands = {
@@ -339,4 +367,6 @@
},
}, // End of an example
};
+return examples_broadcast_float16;
+};
diff --git a/nn/runtime/test/generated/examples/mobilenet_224_gender_basic_fixed.example.cpp b/nn/runtime/test/generated/examples/mobilenet_224_gender_basic_fixed.example.cpp
index 104c42b..f2017a3 100644
--- a/nn/runtime/test/generated/examples/mobilenet_224_gender_basic_fixed.example.cpp
+++ b/nn/runtime/test/generated/examples/mobilenet_224_gender_basic_fixed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: mobilenet_224_gender_basic_fixed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/mobilenet_224_gender_basic_fixed_relaxed.example.cpp b/nn/runtime/test/generated/examples/mobilenet_224_gender_basic_fixed_relaxed.example.cpp
index 6310aac..b61bb42 100644
--- a/nn/runtime/test/generated/examples/mobilenet_224_gender_basic_fixed_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/mobilenet_224_gender_basic_fixed_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: mobilenet_224_gender_basic_fixed_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/mobilenet_quantized.example.cpp b/nn/runtime/test/generated/examples/mobilenet_quantized.example.cpp
index afb6cab..1e0b41d 100644
--- a/nn/runtime/test/generated/examples/mobilenet_quantized.example.cpp
+++ b/nn/runtime/test/generated/examples/mobilenet_quantized.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: mobilenet_quantized.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/mul.example.cpp b/nn/runtime/test/generated/examples/mul.example.cpp
index 81f1c91..28794da 100644
--- a/nn/runtime/test/generated/examples/mul.example.cpp
+++ b/nn/runtime/test/generated/examples/mul.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: mul.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/mul_broadcast_float16.example.cpp b/nn/runtime/test/generated/examples/mul_broadcast_float16.example.cpp
index c0b9607..54eb897 100644
--- a/nn/runtime/test/generated/examples/mul_broadcast_float16.example.cpp
+++ b/nn/runtime/test/generated/examples/mul_broadcast_float16.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: mul_broadcast_float16.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/mul_broadcast_quant8.example.cpp b/nn/runtime/test/generated/examples/mul_broadcast_quant8.example.cpp
index 4e6eddd..1ae661c 100644
--- a/nn/runtime/test/generated/examples/mul_broadcast_quant8.example.cpp
+++ b/nn/runtime/test/generated/examples/mul_broadcast_quant8.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: mul_broadcast_quant8.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/mul_float16.example.cpp b/nn/runtime/test/generated/examples/mul_float16.example.cpp
index 95c5142..17de097 100644
--- a/nn/runtime/test/generated/examples/mul_float16.example.cpp
+++ b/nn/runtime/test/generated/examples/mul_float16.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: mul_float16.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/mul_quant8.example.cpp b/nn/runtime/test/generated/examples/mul_quant8.example.cpp
index c0927a0..0740d7e 100644
--- a/nn/runtime/test/generated/examples/mul_quant8.example.cpp
+++ b/nn/runtime/test/generated/examples/mul_quant8.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: mul_quant8.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/mul_relaxed.example.cpp b/nn/runtime/test/generated/examples/mul_relaxed.example.cpp
index 9f09c8d..324a53f 100644
--- a/nn/runtime/test/generated/examples/mul_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/mul_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: mul_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/mul_relu.example.cpp b/nn/runtime/test/generated/examples/mul_relu.example.cpp
index 16e0f3f..7a59ff2 100644
--- a/nn/runtime/test/generated/examples/mul_relu.example.cpp
+++ b/nn/runtime/test/generated/examples/mul_relu.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: mul_relu.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/mul_relu_relaxed.example.cpp b/nn/runtime/test/generated/examples/mul_relu_relaxed.example.cpp
index fe34289..326347c 100644
--- a/nn/runtime/test/generated/examples/mul_relu_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/mul_relu_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: mul_relu_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/pad.example.cpp b/nn/runtime/test/generated/examples/pad.example.cpp
index d2fd9b2..ab197e3 100644
--- a/nn/runtime/test/generated/examples/pad.example.cpp
+++ b/nn/runtime/test/generated/examples/pad.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: pad.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/argmin_2_quant8.example.cpp b/nn/runtime/test/generated/examples/pad_float16.example.cpp
similarity index 63%
copy from nn/runtime/test/generated/examples/argmin_2_quant8.example.cpp
copy to nn/runtime/test/generated/examples/pad_float16.example.cpp
index ce68216..57c32ed 100644
--- a/nn/runtime/test/generated/examples/argmin_2_quant8.example.cpp
+++ b/nn/runtime/test/generated/examples/pad_float16.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
-// Generated file (from: argmin_2_quant8.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+// Generated file (from: pad_float16.mod.py). Do not edit
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -11,26 +12,28 @@
// int -> INT32 map
{},
// int -> QUANT8_ASYMM map
- {{0, {1, 2, 4, 3}}},
+ {},
// int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
- {},
+ {{0, {1.0f, 2.0f, 3.0f, 4.0f}}},
},
//Output(s)
{ // See tools/test_generator/include/TestHarness.h:MixedTyped
// int -> FLOAT32 map
{},
// int -> INT32 map
- {{0, {0, 0}}},
+ {},
// int -> QUANT8_ASYMM map
{},
// int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
- {},
+ {{0, {0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 2.0f, 0.0f, 0.0f, 3.0f, 4.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}}},
}
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/pad_float_1.example.cpp b/nn/runtime/test/generated/examples/pad_float_1.example.cpp
index 5be42bc..52bcbc9 100644
--- a/nn/runtime/test/generated/examples/pad_float_1.example.cpp
+++ b/nn/runtime/test/generated/examples/pad_float_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: pad_float_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/pad_float_1_relaxed.example.cpp b/nn/runtime/test/generated/examples/pad_float_1_relaxed.example.cpp
index 56b5c2a..fe934c9 100644
--- a/nn/runtime/test/generated/examples/pad_float_1_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/pad_float_1_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: pad_float_1_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/pad_relaxed.example.cpp b/nn/runtime/test/generated/examples/pad_relaxed.example.cpp
index 92aa677..c7dd89a 100644
--- a/nn/runtime/test/generated/examples/pad_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/pad_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: pad_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/pad_v2_1_float.example.cpp b/nn/runtime/test/generated/examples/pad_v2_1_float.example.cpp
index aca670c..3309d29 100644
--- a/nn/runtime/test/generated/examples/pad_v2_1_float.example.cpp
+++ b/nn/runtime/test/generated/examples/pad_v2_1_float.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: pad_v2_1_float.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,43 @@
},
}, // End of an example
};
+return examples;
+};
+
+std::vector<MixedTypedExample>& get_examples_float16() {
+static std::vector<MixedTypedExample> examples_float16 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {9.300000190734863f, 1.0f, 2.0f, 3.0f, 9.300000190734863f, 9.300000190734863f, 9.300000190734863f, 9.300000190734863f, 4.0f, 5.0f, 6.0f, 9.300000190734863f, 9.300000190734863f, 9.300000190734863f, 9.300000190734863f, 9.300000190734863f, 9.300000190734863f, 9.300000190734863f, 9.300000190734863f, 9.300000190734863f, 9.300000190734863f, 9.300000190734863f, 9.300000190734863f, 9.300000190734863f, 9.300000190734863f, 9.300000190734863f, 9.300000190734863f, 9.300000190734863f}}},
+}
+},
+}, // End of an example
+};
+return examples_float16;
+};
diff --git a/nn/runtime/test/generated/examples/pad_v2_1_float_relaxed.example.cpp b/nn/runtime/test/generated/examples/pad_v2_1_float_relaxed.example.cpp
index c28e3ca..f911ed2 100644
--- a/nn/runtime/test/generated/examples/pad_v2_1_float_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/pad_v2_1_float_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: pad_v2_1_float_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/pad_v2_1_quant8.example.cpp b/nn/runtime/test/generated/examples/pad_v2_1_quant8.example.cpp
index bd35ac0..c4143ce 100644
--- a/nn/runtime/test/generated/examples/pad_v2_1_quant8.example.cpp
+++ b/nn/runtime/test/generated/examples/pad_v2_1_quant8.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: pad_v2_1_quant8.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/pow.example.cpp b/nn/runtime/test/generated/examples/pow.example.cpp
index c187074..4dbb517 100644
--- a/nn/runtime/test/generated/examples/pow.example.cpp
+++ b/nn/runtime/test/generated/examples/pow.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: pow.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples;
+};
-std::vector<MixedTypedExample> examples_relaxed = {
+std::vector<MixedTypedExample>& get_examples_relaxed() {
+static std::vector<MixedTypedExample> examples_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,11 @@
},
}, // End of an example
};
+return examples_relaxed;
+};
-std::vector<MixedTypedExample> examples_2 = {
+std::vector<MixedTypedExample>& get_examples_2() {
+static std::vector<MixedTypedExample> examples_2 = {
// Begin of an example
{
.operands = {
@@ -101,8 +108,11 @@
},
}, // End of an example
};
+return examples_2;
+};
-std::vector<MixedTypedExample> examples_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_2() {
+static std::vector<MixedTypedExample> examples_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -135,8 +145,11 @@
},
}, // End of an example
};
+return examples_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_3 = {
+std::vector<MixedTypedExample>& get_examples_3() {
+static std::vector<MixedTypedExample> examples_3 = {
// Begin of an example
{
.operands = {
@@ -169,8 +182,11 @@
},
}, // End of an example
};
+return examples_3;
+};
-std::vector<MixedTypedExample> examples_relaxed_3 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_3() {
+static std::vector<MixedTypedExample> examples_relaxed_3 = {
// Begin of an example
{
.operands = {
@@ -203,4 +219,6 @@
},
}, // End of an example
};
+return examples_relaxed_3;
+};
diff --git a/nn/runtime/test/generated/examples/prelu.example.cpp b/nn/runtime/test/generated/examples/prelu.example.cpp
index f427e98..5158541 100644
--- a/nn/runtime/test/generated/examples/prelu.example.cpp
+++ b/nn/runtime/test/generated/examples/prelu.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: prelu.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples;
+};
-std::vector<MixedTypedExample> examples_relaxed = {
+std::vector<MixedTypedExample>& get_examples_relaxed() {
+static std::vector<MixedTypedExample> examples_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,11 @@
},
}, // End of an example
};
+return examples_relaxed;
+};
-std::vector<MixedTypedExample> examples_quant8 = {
+std::vector<MixedTypedExample>& get_examples_quant8() {
+static std::vector<MixedTypedExample> examples_quant8 = {
// Begin of an example
{
.operands = {
@@ -101,8 +108,11 @@
},
}, // End of an example
};
+return examples_quant8;
+};
-std::vector<MixedTypedExample> examples_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_weight_as_input() {
+static std::vector<MixedTypedExample> examples_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -135,8 +145,11 @@
},
}, // End of an example
};
+return examples_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_weight_as_input_relaxed = {
+std::vector<MixedTypedExample>& get_examples_weight_as_input_relaxed() {
+static std::vector<MixedTypedExample> examples_weight_as_input_relaxed = {
// Begin of an example
{
.operands = {
@@ -169,8 +182,11 @@
},
}, // End of an example
};
+return examples_weight_as_input_relaxed;
+};
-std::vector<MixedTypedExample> examples_weight_as_input_quant8 = {
+std::vector<MixedTypedExample>& get_examples_weight_as_input_quant8() {
+static std::vector<MixedTypedExample> examples_weight_as_input_quant8 = {
// Begin of an example
{
.operands = {
@@ -203,4 +219,6 @@
},
}, // End of an example
};
+return examples_weight_as_input_quant8;
+};
diff --git a/nn/runtime/test/generated/examples/quantize.example.cpp b/nn/runtime/test/generated/examples/quantize.example.cpp
index f1e130a..86dc98d 100644
--- a/nn/runtime/test/generated/examples/quantize.example.cpp
+++ b/nn/runtime/test/generated/examples/quantize.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: quantize.mod.py). Do not edit
-std::vector<MixedTypedExample> examples_quant8 = {
+std::vector<MixedTypedExample>& get_examples_quant8() {
+static std::vector<MixedTypedExample> examples_quant8 = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples_quant8;
+};
-std::vector<MixedTypedExample> examples_quant8_2 = {
+std::vector<MixedTypedExample>& get_examples_quant8_2() {
+static std::vector<MixedTypedExample> examples_quant8_2 = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,11 @@
},
}, // End of an example
};
+return examples_quant8_2;
+};
-std::vector<MixedTypedExample> examples_quant8_3 = {
+std::vector<MixedTypedExample>& get_examples_quant8_3() {
+static std::vector<MixedTypedExample> examples_quant8_3 = {
// Begin of an example
{
.operands = {
@@ -101,8 +108,11 @@
},
}, // End of an example
};
+return examples_quant8_3;
+};
-std::vector<MixedTypedExample> examples_quant8_4 = {
+std::vector<MixedTypedExample>& get_examples_quant8_4() {
+static std::vector<MixedTypedExample> examples_quant8_4 = {
// Begin of an example
{
.operands = {
@@ -135,4 +145,6 @@
},
}, // End of an example
};
+return examples_quant8_4;
+};
diff --git a/nn/runtime/test/generated/examples/quantized_lstm.example.cpp b/nn/runtime/test/generated/examples/quantized_lstm.example.cpp
index 98f936a..0481dd8 100644
--- a/nn/runtime/test/generated/examples/quantized_lstm.example.cpp
+++ b/nn/runtime/test/generated/examples/quantized_lstm.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: quantized_lstm.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/random_multinomial.example.cpp b/nn/runtime/test/generated/examples/random_multinomial.example.cpp
index 999a467..3434cff 100644
--- a/nn/runtime/test/generated/examples/random_multinomial.example.cpp
+++ b/nn/runtime/test/generated/examples/random_multinomial.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: random_multinomial.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -34,4 +35,6 @@
.expectedMultinomialDistributionTolerance = 0.025000
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/relu1_float16_1.example.cpp b/nn/runtime/test/generated/examples/relu1_float16_1.example.cpp
index 9f84e54..55fba70 100644
--- a/nn/runtime/test/generated/examples/relu1_float16_1.example.cpp
+++ b/nn/runtime/test/generated/examples/relu1_float16_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: relu1_float16_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/relu1_float16_2.example.cpp b/nn/runtime/test/generated/examples/relu1_float16_2.example.cpp
index 356b2c6..6d2f234 100644
--- a/nn/runtime/test/generated/examples/relu1_float16_2.example.cpp
+++ b/nn/runtime/test/generated/examples/relu1_float16_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: relu1_float16_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/relu1_float_1.example.cpp b/nn/runtime/test/generated/examples/relu1_float_1.example.cpp
index ef4d1d0..15dc917 100644
--- a/nn/runtime/test/generated/examples/relu1_float_1.example.cpp
+++ b/nn/runtime/test/generated/examples/relu1_float_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: relu1_float_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/relu1_float_1_relaxed.example.cpp b/nn/runtime/test/generated/examples/relu1_float_1_relaxed.example.cpp
index 0a9db4f..a540bb2 100644
--- a/nn/runtime/test/generated/examples/relu1_float_1_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/relu1_float_1_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: relu1_float_1_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/relu1_float_2.example.cpp b/nn/runtime/test/generated/examples/relu1_float_2.example.cpp
index ef8d379..811e8da 100644
--- a/nn/runtime/test/generated/examples/relu1_float_2.example.cpp
+++ b/nn/runtime/test/generated/examples/relu1_float_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: relu1_float_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/relu1_float_2_relaxed.example.cpp b/nn/runtime/test/generated/examples/relu1_float_2_relaxed.example.cpp
index fcb9f82..1e5a795 100644
--- a/nn/runtime/test/generated/examples/relu1_float_2_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/relu1_float_2_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: relu1_float_2_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/relu1_quant8_1.example.cpp b/nn/runtime/test/generated/examples/relu1_quant8_1.example.cpp
index 3bb367a..0bf1e9b 100644
--- a/nn/runtime/test/generated/examples/relu1_quant8_1.example.cpp
+++ b/nn/runtime/test/generated/examples/relu1_quant8_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: relu1_quant8_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -64,4 +65,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/relu1_quant8_2.example.cpp b/nn/runtime/test/generated/examples/relu1_quant8_2.example.cpp
index 0dc5120..4122828 100644
--- a/nn/runtime/test/generated/examples/relu1_quant8_2.example.cpp
+++ b/nn/runtime/test/generated/examples/relu1_quant8_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: relu1_quant8_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/relu6_float16_1.example.cpp b/nn/runtime/test/generated/examples/relu6_float16_1.example.cpp
index 63ade24..520412a 100644
--- a/nn/runtime/test/generated/examples/relu6_float16_1.example.cpp
+++ b/nn/runtime/test/generated/examples/relu6_float16_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: relu6_float16_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/relu6_float16_2.example.cpp b/nn/runtime/test/generated/examples/relu6_float16_2.example.cpp
index d6da9c2..8f8ad9e 100644
--- a/nn/runtime/test/generated/examples/relu6_float16_2.example.cpp
+++ b/nn/runtime/test/generated/examples/relu6_float16_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: relu6_float16_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/relu6_float_1.example.cpp b/nn/runtime/test/generated/examples/relu6_float_1.example.cpp
index 64e396b..9c5290a 100644
--- a/nn/runtime/test/generated/examples/relu6_float_1.example.cpp
+++ b/nn/runtime/test/generated/examples/relu6_float_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: relu6_float_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/relu6_float_1_relaxed.example.cpp b/nn/runtime/test/generated/examples/relu6_float_1_relaxed.example.cpp
index 1ec151f..76cfbf1 100644
--- a/nn/runtime/test/generated/examples/relu6_float_1_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/relu6_float_1_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: relu6_float_1_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/relu6_float_2.example.cpp b/nn/runtime/test/generated/examples/relu6_float_2.example.cpp
index 0ba8f89..c27e9ba 100644
--- a/nn/runtime/test/generated/examples/relu6_float_2.example.cpp
+++ b/nn/runtime/test/generated/examples/relu6_float_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: relu6_float_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/relu6_float_2_relaxed.example.cpp b/nn/runtime/test/generated/examples/relu6_float_2_relaxed.example.cpp
index 16cc738..823a461 100644
--- a/nn/runtime/test/generated/examples/relu6_float_2_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/relu6_float_2_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: relu6_float_2_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/relu6_quant8_1.example.cpp b/nn/runtime/test/generated/examples/relu6_quant8_1.example.cpp
index 2754985..a95a1bb 100644
--- a/nn/runtime/test/generated/examples/relu6_quant8_1.example.cpp
+++ b/nn/runtime/test/generated/examples/relu6_quant8_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: relu6_quant8_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -64,4 +65,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/relu6_quant8_2.example.cpp b/nn/runtime/test/generated/examples/relu6_quant8_2.example.cpp
index f6c4c8a..ba6ef2d 100644
--- a/nn/runtime/test/generated/examples/relu6_quant8_2.example.cpp
+++ b/nn/runtime/test/generated/examples/relu6_quant8_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: relu6_quant8_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/relu_float16_1.example.cpp b/nn/runtime/test/generated/examples/relu_float16_1.example.cpp
index 3055082..7f3e4c8 100644
--- a/nn/runtime/test/generated/examples/relu_float16_1.example.cpp
+++ b/nn/runtime/test/generated/examples/relu_float16_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: relu_float16_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/relu_float16_2.example.cpp b/nn/runtime/test/generated/examples/relu_float16_2.example.cpp
index eae341a..4035926 100644
--- a/nn/runtime/test/generated/examples/relu_float16_2.example.cpp
+++ b/nn/runtime/test/generated/examples/relu_float16_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: relu_float16_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/relu_float_1.example.cpp b/nn/runtime/test/generated/examples/relu_float_1.example.cpp
index d80348b..3cc825f 100644
--- a/nn/runtime/test/generated/examples/relu_float_1.example.cpp
+++ b/nn/runtime/test/generated/examples/relu_float_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: relu_float_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/relu_float_1_relaxed.example.cpp b/nn/runtime/test/generated/examples/relu_float_1_relaxed.example.cpp
index a9ff69d..dbdbc45 100644
--- a/nn/runtime/test/generated/examples/relu_float_1_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/relu_float_1_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: relu_float_1_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/relu_float_2.example.cpp b/nn/runtime/test/generated/examples/relu_float_2.example.cpp
index b0f19a6..a471c9e 100644
--- a/nn/runtime/test/generated/examples/relu_float_2.example.cpp
+++ b/nn/runtime/test/generated/examples/relu_float_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: relu_float_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/relu_float_2_relaxed.example.cpp b/nn/runtime/test/generated/examples/relu_float_2_relaxed.example.cpp
index 636aac9..a3be9a1 100644
--- a/nn/runtime/test/generated/examples/relu_float_2_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/relu_float_2_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: relu_float_2_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/relu_quant8_1.example.cpp b/nn/runtime/test/generated/examples/relu_quant8_1.example.cpp
index 4e66800..6f26b57 100644
--- a/nn/runtime/test/generated/examples/relu_quant8_1.example.cpp
+++ b/nn/runtime/test/generated/examples/relu_quant8_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: relu_quant8_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -64,4 +65,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/relu_quant8_2.example.cpp b/nn/runtime/test/generated/examples/relu_quant8_2.example.cpp
index 7b174f6..c38916d 100644
--- a/nn/runtime/test/generated/examples/relu_quant8_2.example.cpp
+++ b/nn/runtime/test/generated/examples/relu_quant8_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: relu_quant8_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/reshape.example.cpp b/nn/runtime/test/generated/examples/reshape.example.cpp
index c9d5c1e..cfb01d1 100644
--- a/nn/runtime/test/generated/examples/reshape.example.cpp
+++ b/nn/runtime/test/generated/examples/reshape.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: reshape.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/argmin_2_quant8.example.cpp b/nn/runtime/test/generated/examples/reshape_float16.example.cpp
similarity index 63%
copy from nn/runtime/test/generated/examples/argmin_2_quant8.example.cpp
copy to nn/runtime/test/generated/examples/reshape_float16.example.cpp
index ce68216..d5736c5 100644
--- a/nn/runtime/test/generated/examples/argmin_2_quant8.example.cpp
+++ b/nn/runtime/test/generated/examples/reshape_float16.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
-// Generated file (from: argmin_2_quant8.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+// Generated file (from: reshape_float16.mod.py). Do not edit
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -11,26 +12,28 @@
// int -> INT32 map
{},
// int -> QUANT8_ASYMM map
- {{0, {1, 2, 4, 3}}},
+ {},
// int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
- {},
+ {{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f}}},
},
//Output(s)
{ // See tools/test_generator/include/TestHarness.h:MixedTyped
// int -> FLOAT32 map
{},
// int -> INT32 map
- {{0, {0, 0}}},
+ {},
// int -> QUANT8_ASYMM map
{},
// int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
- {},
+ {{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f}}},
}
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/reshape_quant8.example.cpp b/nn/runtime/test/generated/examples/reshape_quant8.example.cpp
index c3151fc..72c7f88 100644
--- a/nn/runtime/test/generated/examples/reshape_quant8.example.cpp
+++ b/nn/runtime/test/generated/examples/reshape_quant8.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: reshape_quant8.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/reshape_quant8_weights_as_inputs.example.cpp b/nn/runtime/test/generated/examples/reshape_quant8_weights_as_inputs.example.cpp
index ae0c60a..21fe768 100644
--- a/nn/runtime/test/generated/examples/reshape_quant8_weights_as_inputs.example.cpp
+++ b/nn/runtime/test/generated/examples/reshape_quant8_weights_as_inputs.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: reshape_quant8_weights_as_inputs.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/reshape_relaxed.example.cpp b/nn/runtime/test/generated/examples/reshape_relaxed.example.cpp
index 0e2c5d4..d6ac15f 100644
--- a/nn/runtime/test/generated/examples/reshape_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/reshape_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: reshape_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/reshape_weights_as_inputs.example.cpp b/nn/runtime/test/generated/examples/reshape_weights_as_inputs.example.cpp
index 6421715..79f459b 100644
--- a/nn/runtime/test/generated/examples/reshape_weights_as_inputs.example.cpp
+++ b/nn/runtime/test/generated/examples/reshape_weights_as_inputs.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: reshape_weights_as_inputs.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/reshape_weights_as_inputs_relaxed.example.cpp b/nn/runtime/test/generated/examples/reshape_weights_as_inputs_relaxed.example.cpp
index 145d80d..b470936 100644
--- a/nn/runtime/test/generated/examples/reshape_weights_as_inputs_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/reshape_weights_as_inputs_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: reshape_weights_as_inputs_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/resize_bilinear.example.cpp b/nn/runtime/test/generated/examples/resize_bilinear.example.cpp
index b113f71..1844e88 100644
--- a/nn/runtime/test/generated/examples/resize_bilinear.example.cpp
+++ b/nn/runtime/test/generated/examples/resize_bilinear.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: resize_bilinear.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/resize_bilinear_2.example.cpp b/nn/runtime/test/generated/examples/resize_bilinear_2.example.cpp
index 66654c6..7e8ae83 100644
--- a/nn/runtime/test/generated/examples/resize_bilinear_2.example.cpp
+++ b/nn/runtime/test/generated/examples/resize_bilinear_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: resize_bilinear_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/resize_bilinear_2_relaxed.example.cpp b/nn/runtime/test/generated/examples/resize_bilinear_2_relaxed.example.cpp
index 1b93851..0d3087a 100644
--- a/nn/runtime/test/generated/examples/resize_bilinear_2_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/resize_bilinear_2_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: resize_bilinear_2_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/resize_bilinear_relaxed.example.cpp b/nn/runtime/test/generated/examples/resize_bilinear_relaxed.example.cpp
index 3a49e85..0b8c380 100644
--- a/nn/runtime/test/generated/examples/resize_bilinear_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/resize_bilinear_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: resize_bilinear_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/resize_bilinear_v1_2.example.cpp b/nn/runtime/test/generated/examples/resize_bilinear_v1_2.example.cpp
index e8221dc..851740a 100644
--- a/nn/runtime/test/generated/examples/resize_bilinear_v1_2.example.cpp
+++ b/nn/runtime/test/generated/examples/resize_bilinear_v1_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: resize_bilinear_v1_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples_nhwc = {
+std::vector<MixedTypedExample>& get_examples_nhwc() {
+static std::vector<MixedTypedExample> examples_nhwc = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples_nhwc;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,48 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed;
+};
-std::vector<MixedTypedExample> examples_nchw = {
+std::vector<MixedTypedExample>& get_examples_nhwc_float16() {
+static std::vector<MixedTypedExample> examples_nhwc_float16 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 1.0f, 2.0f, 2.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 1.0f, 1.0f, 1.6666666269302368f, 1.6666666269302368f, 1.6666666269302368f, 2.0f, 2.0f, 2.0f}}},
+}
+},
+}, // End of an example
+};
+return examples_nhwc_float16;
+};
+
+std::vector<MixedTypedExample>& get_examples_nchw() {
+static std::vector<MixedTypedExample> examples_nchw = {
// Begin of an example
{
.operands = {
@@ -101,8 +145,11 @@
},
}, // End of an example
};
+return examples_nchw;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed = {
// Begin of an example
{
.operands = {
@@ -135,8 +182,48 @@
},
}, // End of an example
};
+return examples_nchw_relaxed;
+};
-std::vector<MixedTypedExample> examples_nhwc_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_float16() {
+static std::vector<MixedTypedExample> examples_nchw_float16 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 1.0f, 2.0f, 2.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 1.0f, 1.0f, 1.6666666269302368f, 1.6666666269302368f, 1.6666666269302368f, 2.0f, 2.0f, 2.0f}}},
+}
+},
+}, // End of an example
+};
+return examples_nchw_float16;
+};
+
+std::vector<MixedTypedExample>& get_examples_nhwc_2() {
+static std::vector<MixedTypedExample> examples_nhwc_2 = {
// Begin of an example
{
.operands = {
@@ -169,8 +256,11 @@
},
}, // End of an example
};
+return examples_nhwc_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed_2() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -203,8 +293,48 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_nchw_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_float16_2() {
+static std::vector<MixedTypedExample> examples_nhwc_float16_2 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {3.0f, 4.0f, 6.0f, 10.0f, 9.0f, 10.0f, 12.0f, 16.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {3.0f, 4.0f, 5.0f, 8.0f, 6.0f, 10.0f, 7.0f, 8.0f, 9.0f, 12.0f, 10.0f, 14.0f, 9.0f, 10.0f, 11.0f, 14.0f, 12.0f, 16.0f}}},
+}
+},
+}, // End of an example
+};
+return examples_nhwc_float16_2;
+};
+
+std::vector<MixedTypedExample>& get_examples_nchw_2() {
+static std::vector<MixedTypedExample> examples_nchw_2 = {
// Begin of an example
{
.operands = {
@@ -237,8 +367,11 @@
},
}, // End of an example
};
+return examples_nchw_2;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed_2() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -271,4 +404,43 @@
},
}, // End of an example
};
+return examples_nchw_relaxed_2;
+};
+
+std::vector<MixedTypedExample>& get_examples_nchw_float16_2() {
+static std::vector<MixedTypedExample> examples_nchw_float16_2 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {3.0f, 6.0f, 9.0f, 12.0f, 4.0f, 10.0f, 10.0f, 16.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {3.0f, 5.0f, 6.0f, 7.0f, 9.0f, 10.0f, 9.0f, 11.0f, 12.0f, 4.0f, 8.0f, 10.0f, 8.0f, 12.0f, 14.0f, 10.0f, 14.0f, 16.0f}}},
+}
+},
+}, // End of an example
+};
+return examples_nchw_float16_2;
+};
diff --git a/nn/runtime/test/generated/examples/rnn.example.cpp b/nn/runtime/test/generated/examples/rnn.example.cpp
index 8655572..7fb7bb4 100644
--- a/nn/runtime/test/generated/examples/rnn.example.cpp
+++ b/nn/runtime/test/generated/examples/rnn.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: rnn.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/rnn_relaxed.example.cpp b/nn/runtime/test/generated/examples/rnn_relaxed.example.cpp
index 9805d54..b604176 100644
--- a/nn/runtime/test/generated/examples/rnn_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/rnn_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: rnn_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/rnn_state.example.cpp b/nn/runtime/test/generated/examples/rnn_state.example.cpp
index cd3483f..c6b9ed7 100644
--- a/nn/runtime/test/generated/examples/rnn_state.example.cpp
+++ b/nn/runtime/test/generated/examples/rnn_state.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: rnn_state.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/rnn_state_relaxed.example.cpp b/nn/runtime/test/generated/examples/rnn_state_relaxed.example.cpp
index 3dc0e68..75e330a 100644
--- a/nn/runtime/test/generated/examples/rnn_state_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/rnn_state_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: rnn_state_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/roi_align.example.cpp b/nn/runtime/test/generated/examples/roi_align.example.cpp
index 19e75e4..fe25040 100644
--- a/nn/runtime/test/generated/examples/roi_align.example.cpp
+++ b/nn/runtime/test/generated/examples/roi_align.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: roi_align.mod.py). Do not edit
-std::vector<MixedTypedExample> examples_nhwc = {
+std::vector<MixedTypedExample>& get_examples_nhwc() {
+static std::vector<MixedTypedExample> examples_nhwc = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples_nhwc;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,11 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed;
+};
-std::vector<MixedTypedExample> examples_nhwc_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8 = {
// Begin of an example
{
.operands = {
@@ -101,8 +108,11 @@
},
}, // End of an example
};
+return examples_nhwc_quant8;
+};
-std::vector<MixedTypedExample> examples_nchw = {
+std::vector<MixedTypedExample>& get_examples_nchw() {
+static std::vector<MixedTypedExample> examples_nchw = {
// Begin of an example
{
.operands = {
@@ -135,8 +145,11 @@
},
}, // End of an example
};
+return examples_nchw;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed = {
// Begin of an example
{
.operands = {
@@ -169,8 +182,11 @@
},
}, // End of an example
};
+return examples_nchw_relaxed;
+};
-std::vector<MixedTypedExample> examples_nchw_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nchw_quant8() {
+static std::vector<MixedTypedExample> examples_nchw_quant8 = {
// Begin of an example
{
.operands = {
@@ -203,8 +219,11 @@
},
}, // End of an example
};
+return examples_nchw_quant8;
+};
-std::vector<MixedTypedExample> examples_nhwc_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_2() {
+static std::vector<MixedTypedExample> examples_nhwc_2 = {
// Begin of an example
{
.operands = {
@@ -237,8 +256,11 @@
},
}, // End of an example
};
+return examples_nhwc_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed_2() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -271,8 +293,11 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_quant8_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8_2() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8_2 = {
// Begin of an example
{
.operands = {
@@ -305,8 +330,11 @@
},
}, // End of an example
};
+return examples_nhwc_quant8_2;
+};
-std::vector<MixedTypedExample> examples_nchw_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_2() {
+static std::vector<MixedTypedExample> examples_nchw_2 = {
// Begin of an example
{
.operands = {
@@ -339,8 +367,11 @@
},
}, // End of an example
};
+return examples_nchw_2;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed_2() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -373,8 +404,11 @@
},
}, // End of an example
};
+return examples_nchw_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_nchw_quant8_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_quant8_2() {
+static std::vector<MixedTypedExample> examples_nchw_quant8_2 = {
// Begin of an example
{
.operands = {
@@ -407,8 +441,11 @@
},
}, // End of an example
};
+return examples_nchw_quant8_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_3 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_3() {
+static std::vector<MixedTypedExample> examples_nhwc_3 = {
// Begin of an example
{
.operands = {
@@ -441,8 +478,11 @@
},
}, // End of an example
};
+return examples_nhwc_3;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed_3 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed_3() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed_3 = {
// Begin of an example
{
.operands = {
@@ -475,8 +515,11 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed_3;
+};
-std::vector<MixedTypedExample> examples_nhwc_quant8_3 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8_3() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8_3 = {
// Begin of an example
{
.operands = {
@@ -509,8 +552,11 @@
},
}, // End of an example
};
+return examples_nhwc_quant8_3;
+};
-std::vector<MixedTypedExample> examples_nchw_3 = {
+std::vector<MixedTypedExample>& get_examples_nchw_3() {
+static std::vector<MixedTypedExample> examples_nchw_3 = {
// Begin of an example
{
.operands = {
@@ -543,8 +589,11 @@
},
}, // End of an example
};
+return examples_nchw_3;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed_3 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed_3() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed_3 = {
// Begin of an example
{
.operands = {
@@ -577,8 +626,11 @@
},
}, // End of an example
};
+return examples_nchw_relaxed_3;
+};
-std::vector<MixedTypedExample> examples_nchw_quant8_3 = {
+std::vector<MixedTypedExample>& get_examples_nchw_quant8_3() {
+static std::vector<MixedTypedExample> examples_nchw_quant8_3 = {
// Begin of an example
{
.operands = {
@@ -611,4 +663,6 @@
},
}, // End of an example
};
+return examples_nchw_quant8_3;
+};
diff --git a/nn/runtime/test/generated/examples/roi_pooling.example.cpp b/nn/runtime/test/generated/examples/roi_pooling.example.cpp
new file mode 100644
index 0000000..295d49b
--- /dev/null
+++ b/nn/runtime/test/generated/examples/roi_pooling.example.cpp
@@ -0,0 +1,446 @@
+// clang-format off
+// Generated file (from: roi_pooling.mod.py). Do not edit
+std::vector<MixedTypedExample>& get_examples_nhwc() {
+static std::vector<MixedTypedExample> examples_nhwc = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {-10.0f, -1.0f, 4.0f, -5.0f, -8.0f, -2.0f, 9.0f, 1.0f, 7.0f, -2.0f, 3.0f, -7.0f, -2.0f, 10.0f, -3.0f, 5.0f}}, {1, {2.0f, 2.0f, 4.0f, 4.0f, 0.0f, 0.0f, 6.0f, 6.0f, 2.0f, 0.0f, 4.0f, 6.0f, 0.0f, 2.0f, 6.0f, 4.0f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {-2.0f, 9.0f, -2.0f, 3.0f, -1.0f, 9.0f, 10.0f, 5.0f, -1.0f, 9.0f, 10.0f, 3.0f, -2.0f, 9.0f, 7.0f, 3.0f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_nhwc;
+};
+
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {-10.0f, -1.0f, 4.0f, -5.0f, -8.0f, -2.0f, 9.0f, 1.0f, 7.0f, -2.0f, 3.0f, -7.0f, -2.0f, 10.0f, -3.0f, 5.0f}}, {1, {2.0f, 2.0f, 4.0f, 4.0f, 0.0f, 0.0f, 6.0f, 6.0f, 2.0f, 0.0f, 4.0f, 6.0f, 0.0f, 2.0f, 6.0f, 4.0f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {-2.0f, 9.0f, -2.0f, 3.0f, -1.0f, 9.0f, 10.0f, 5.0f, -1.0f, 9.0f, 10.0f, 3.0f, -2.0f, 9.0f, 7.0f, 3.0f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_nhwc_relaxed;
+};
+
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{1, {2.0f, 2.0f, 4.0f, 4.0f, 0.0f, 0.0f, 6.0f, 6.0f, 2.0f, 0.0f, 4.0f, 6.0f, 0.0f, 2.0f, 6.0f, 4.0f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {{0, {88, 124, 144, 108, 96, 120, 164, 132, 156, 120, 140, 100, 120, 168, 116, 148}}},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {{0, {120, 164, 120, 140, 124, 164, 168, 148, 124, 164, 168, 140, 120, 164, 156, 140}}},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_nhwc_quant8;
+};
+
+std::vector<MixedTypedExample>& get_examples_nchw() {
+static std::vector<MixedTypedExample> examples_nchw = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {-10.0f, -1.0f, 4.0f, -5.0f, -8.0f, -2.0f, 9.0f, 1.0f, 7.0f, -2.0f, 3.0f, -7.0f, -2.0f, 10.0f, -3.0f, 5.0f}}, {1, {2.0f, 2.0f, 4.0f, 4.0f, 0.0f, 0.0f, 6.0f, 6.0f, 2.0f, 0.0f, 4.0f, 6.0f, 0.0f, 2.0f, 6.0f, 4.0f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {-2.0f, 9.0f, -2.0f, 3.0f, -1.0f, 9.0f, 10.0f, 5.0f, -1.0f, 9.0f, 10.0f, 3.0f, -2.0f, 9.0f, 7.0f, 3.0f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_nchw;
+};
+
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {-10.0f, -1.0f, 4.0f, -5.0f, -8.0f, -2.0f, 9.0f, 1.0f, 7.0f, -2.0f, 3.0f, -7.0f, -2.0f, 10.0f, -3.0f, 5.0f}}, {1, {2.0f, 2.0f, 4.0f, 4.0f, 0.0f, 0.0f, 6.0f, 6.0f, 2.0f, 0.0f, 4.0f, 6.0f, 0.0f, 2.0f, 6.0f, 4.0f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {-2.0f, 9.0f, -2.0f, 3.0f, -1.0f, 9.0f, 10.0f, 5.0f, -1.0f, 9.0f, 10.0f, 3.0f, -2.0f, 9.0f, 7.0f, 3.0f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_nchw_relaxed;
+};
+
+std::vector<MixedTypedExample>& get_examples_nchw_quant8() {
+static std::vector<MixedTypedExample> examples_nchw_quant8 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{1, {2.0f, 2.0f, 4.0f, 4.0f, 0.0f, 0.0f, 6.0f, 6.0f, 2.0f, 0.0f, 4.0f, 6.0f, 0.0f, 2.0f, 6.0f, 4.0f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {{0, {88, 124, 144, 108, 96, 120, 164, 132, 156, 120, 140, 100, 120, 168, 116, 148}}},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {{0, {120, 164, 120, 140, 124, 164, 168, 148, 124, 164, 168, 140, 120, 164, 156, 140}}},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_nchw_quant8;
+};
+
+std::vector<MixedTypedExample>& get_examples_nhwc_2() {
+static std::vector<MixedTypedExample> examples_nhwc_2 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {8.84f, 8.88f, 7.41f, 5.6f, 9.95f, 4.37f, 0.1f, 7.64f, 6.5f, 9.47f, 7.55f, 3.0f, 0.89f, 3.01f, 6.3f, 4.4f, 1.64f, 6.74f, 6.16f, 8.6f, 5.85f, 3.17f, 7.12f, 6.79f, 5.77f, 6.62f, 5.13f, 8.44f, 5.08f, 7.12f, 2.84f, 1.19f, 8.37f, 0.9f, 7.86f, 9.69f, 1.97f, 1.31f, 4.42f, 9.89f, 0.18f, 9.0f, 9.3f, 0.44f, 5.05f, 6.47f, 1.09f, 9.5f, 1.3f, 2.18f, 2.05f, 7.74f, 7.66f, 0.65f, 4.18f, 7.14f, 5.35f, 7.9f, 1.04f, 1.47f, 9.01f, 0.95f, 4.07f, 0.65f, 5.47f, 2.64f, 0.86f, 4.86f, 2.38f, 2.45f, 8.77f, 0.06f, 3.6f, 9.28f, 5.84f, 8.97f, 6.89f, 1.43f, 3.9f, 5.91f, 7.4f, 9.25f, 3.12f, 4.92f, 1.87f, 3.22f, 9.5f, 6.73f, 2.07f, 7.3f, 3.07f, 4.97f, 0.24f, 8.91f, 1.09f, 0.27f, 7.29f, 6.94f, 2.31f, 6.88f, 4.33f, 1.37f, 0.86f, 0.46f, 6.07f, 3.81f, 0.86f, 6.99f, 4.36f, 1.92f, 8.19f, 3.57f, 7.9f, 6.78f, 4.64f, 6.82f, 6.18f, 9.63f, 2.63f, 2.33f, 1.36f, 2.7f, 9.99f, 9.85f, 8.06f, 4.8f, 7.8f, 5.43f}}, {1, {0.0f, 4.0f, 4.0f, 24.0f, 8.0f, 0.0f, 4.0f, 4.0f, 28.0f, 12.0f, 1.0f, 7.0f, 1.0f, 25.0f, 11.0f, 1.0f, 1.0f, 7.0f, 5.0f, 11.0f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {6.16f, 8.6f, 7.12f, 6.79f, 5.13f, 8.44f, 7.86f, 9.69f, 4.42f, 9.89f, 9.3f, 6.47f, 7.86f, 9.89f, 9.3f, 9.89f, 9.3f, 9.5f, 7.86f, 9.89f, 9.3f, 9.89f, 9.3f, 9.5f, 9.5f, 6.73f, 9.5f, 9.28f, 6.89f, 8.97f, 6.18f, 9.63f, 9.99f, 9.85f, 9.99f, 9.85f, 7.29f, 6.94f, 7.29f, 6.94f, 2.31f, 6.88f, 7.9f, 6.78f, 7.9f, 6.82f, 4.64f, 6.82f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_nhwc_2;
+};
+
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed_2() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed_2 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {8.84f, 8.88f, 7.41f, 5.6f, 9.95f, 4.37f, 0.1f, 7.64f, 6.5f, 9.47f, 7.55f, 3.0f, 0.89f, 3.01f, 6.3f, 4.4f, 1.64f, 6.74f, 6.16f, 8.6f, 5.85f, 3.17f, 7.12f, 6.79f, 5.77f, 6.62f, 5.13f, 8.44f, 5.08f, 7.12f, 2.84f, 1.19f, 8.37f, 0.9f, 7.86f, 9.69f, 1.97f, 1.31f, 4.42f, 9.89f, 0.18f, 9.0f, 9.3f, 0.44f, 5.05f, 6.47f, 1.09f, 9.5f, 1.3f, 2.18f, 2.05f, 7.74f, 7.66f, 0.65f, 4.18f, 7.14f, 5.35f, 7.9f, 1.04f, 1.47f, 9.01f, 0.95f, 4.07f, 0.65f, 5.47f, 2.64f, 0.86f, 4.86f, 2.38f, 2.45f, 8.77f, 0.06f, 3.6f, 9.28f, 5.84f, 8.97f, 6.89f, 1.43f, 3.9f, 5.91f, 7.4f, 9.25f, 3.12f, 4.92f, 1.87f, 3.22f, 9.5f, 6.73f, 2.07f, 7.3f, 3.07f, 4.97f, 0.24f, 8.91f, 1.09f, 0.27f, 7.29f, 6.94f, 2.31f, 6.88f, 4.33f, 1.37f, 0.86f, 0.46f, 6.07f, 3.81f, 0.86f, 6.99f, 4.36f, 1.92f, 8.19f, 3.57f, 7.9f, 6.78f, 4.64f, 6.82f, 6.18f, 9.63f, 2.63f, 2.33f, 1.36f, 2.7f, 9.99f, 9.85f, 8.06f, 4.8f, 7.8f, 5.43f}}, {1, {0.0f, 4.0f, 4.0f, 24.0f, 8.0f, 0.0f, 4.0f, 4.0f, 28.0f, 12.0f, 1.0f, 7.0f, 1.0f, 25.0f, 11.0f, 1.0f, 1.0f, 7.0f, 5.0f, 11.0f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {6.16f, 8.6f, 7.12f, 6.79f, 5.13f, 8.44f, 7.86f, 9.69f, 4.42f, 9.89f, 9.3f, 6.47f, 7.86f, 9.89f, 9.3f, 9.89f, 9.3f, 9.5f, 7.86f, 9.89f, 9.3f, 9.89f, 9.3f, 9.5f, 9.5f, 6.73f, 9.5f, 9.28f, 6.89f, 8.97f, 6.18f, 9.63f, 9.99f, 9.85f, 9.99f, 9.85f, 7.29f, 6.94f, 7.29f, 6.94f, 2.31f, 6.88f, 7.9f, 6.78f, 7.9f, 6.82f, 4.64f, 6.82f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_nhwc_relaxed_2;
+};
+
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8_2() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8_2 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{1, {0.0f, 4.0f, 4.0f, 24.0f, 8.0f, 0.0f, 4.0f, 4.0f, 28.0f, 12.0f, 1.0f, 7.0f, 1.0f, 25.0f, 11.0f, 1.0f, 1.0f, 7.0f, 5.0f, 11.0f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {{0, {221, 222, 185, 140, 249, 109, 2, 191, 162, 237, 189, 75, 22, 75, 158, 110, 41, 168, 154, 215, 146, 79, 178, 170, 144, 166, 128, 211, 127, 178, 71, 30, 209, 22, 197, 242, 49, 33, 111, 247, 5, 225, 233, 11, 126, 162, 27, 238, 32, 55, 51, 194, 192, 16, 104, 178, 134, 198, 26, 37, 225, 24, 102, 16, 137, 66, 22, 122, 60, 61, 219, 2, 90, 232, 146, 224, 172, 36, 98, 148, 185, 231, 78, 123, 47, 80, 238, 168, 52, 183, 77, 124, 6, 223, 27, 7, 182, 174, 58, 172, 108, 34, 22, 12, 152, 95, 22, 175, 109, 48, 205, 89, 198, 170, 116, 171, 154, 241, 66, 58, 34, 68, 250, 246, 202, 120, 195, 136}}},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {{0, {154, 215, 178, 170, 128, 211, 197, 242, 111, 247, 233, 162, 197, 247, 233, 247, 233, 238, 197, 247, 233, 247, 233, 238, 238, 168, 238, 232, 172, 224, 154, 241, 250, 246, 250, 246, 182, 174, 182, 174, 58, 172, 198, 170, 198, 171, 116, 171}}},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_nhwc_quant8_2;
+};
+
+std::vector<MixedTypedExample>& get_examples_nchw_2() {
+static std::vector<MixedTypedExample> examples_nchw_2 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {8.84f, 7.41f, 9.95f, 0.1f, 6.5f, 7.55f, 0.89f, 6.3f, 1.64f, 6.16f, 5.85f, 7.12f, 5.77f, 5.13f, 5.08f, 2.84f, 8.37f, 7.86f, 1.97f, 4.42f, 0.18f, 9.3f, 5.05f, 1.09f, 1.3f, 2.05f, 7.66f, 4.18f, 5.35f, 1.04f, 9.01f, 4.07f, 8.88f, 5.6f, 4.37f, 7.64f, 9.47f, 3.0f, 3.01f, 4.4f, 6.74f, 8.6f, 3.17f, 6.79f, 6.62f, 8.44f, 7.12f, 1.19f, 0.9f, 9.69f, 1.31f, 9.89f, 9.0f, 0.44f, 6.47f, 9.5f, 2.18f, 7.74f, 0.65f, 7.14f, 7.9f, 1.47f, 0.95f, 0.65f, 5.47f, 0.86f, 2.38f, 8.77f, 3.6f, 5.84f, 6.89f, 3.9f, 7.4f, 3.12f, 1.87f, 9.5f, 2.07f, 3.07f, 0.24f, 1.09f, 7.29f, 2.31f, 4.33f, 0.86f, 6.07f, 0.86f, 4.36f, 8.19f, 7.9f, 4.64f, 6.18f, 2.63f, 1.36f, 9.99f, 8.06f, 7.8f, 2.64f, 4.86f, 2.45f, 0.06f, 9.28f, 8.97f, 1.43f, 5.91f, 9.25f, 4.92f, 3.22f, 6.73f, 7.3f, 4.97f, 8.91f, 0.27f, 6.94f, 6.88f, 1.37f, 0.46f, 3.81f, 6.99f, 1.92f, 3.57f, 6.78f, 6.82f, 9.63f, 2.33f, 2.7f, 9.85f, 4.8f, 5.43f}}, {1, {0.0f, 4.0f, 4.0f, 24.0f, 8.0f, 0.0f, 4.0f, 4.0f, 28.0f, 12.0f, 1.0f, 7.0f, 1.0f, 25.0f, 11.0f, 1.0f, 1.0f, 7.0f, 5.0f, 11.0f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {6.16f, 7.12f, 5.13f, 7.86f, 4.42f, 9.3f, 8.6f, 6.79f, 8.44f, 9.69f, 9.89f, 6.47f, 7.86f, 9.3f, 9.3f, 7.86f, 9.3f, 9.3f, 9.89f, 9.89f, 9.5f, 9.89f, 9.89f, 9.5f, 9.5f, 9.5f, 6.89f, 6.18f, 9.99f, 9.99f, 6.73f, 9.28f, 8.97f, 9.63f, 9.85f, 9.85f, 7.29f, 7.29f, 2.31f, 7.9f, 7.9f, 4.64f, 6.94f, 6.94f, 6.88f, 6.78f, 6.82f, 6.82f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_nchw_2;
+};
+
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed_2() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed_2 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {8.84f, 7.41f, 9.95f, 0.1f, 6.5f, 7.55f, 0.89f, 6.3f, 1.64f, 6.16f, 5.85f, 7.12f, 5.77f, 5.13f, 5.08f, 2.84f, 8.37f, 7.86f, 1.97f, 4.42f, 0.18f, 9.3f, 5.05f, 1.09f, 1.3f, 2.05f, 7.66f, 4.18f, 5.35f, 1.04f, 9.01f, 4.07f, 8.88f, 5.6f, 4.37f, 7.64f, 9.47f, 3.0f, 3.01f, 4.4f, 6.74f, 8.6f, 3.17f, 6.79f, 6.62f, 8.44f, 7.12f, 1.19f, 0.9f, 9.69f, 1.31f, 9.89f, 9.0f, 0.44f, 6.47f, 9.5f, 2.18f, 7.74f, 0.65f, 7.14f, 7.9f, 1.47f, 0.95f, 0.65f, 5.47f, 0.86f, 2.38f, 8.77f, 3.6f, 5.84f, 6.89f, 3.9f, 7.4f, 3.12f, 1.87f, 9.5f, 2.07f, 3.07f, 0.24f, 1.09f, 7.29f, 2.31f, 4.33f, 0.86f, 6.07f, 0.86f, 4.36f, 8.19f, 7.9f, 4.64f, 6.18f, 2.63f, 1.36f, 9.99f, 8.06f, 7.8f, 2.64f, 4.86f, 2.45f, 0.06f, 9.28f, 8.97f, 1.43f, 5.91f, 9.25f, 4.92f, 3.22f, 6.73f, 7.3f, 4.97f, 8.91f, 0.27f, 6.94f, 6.88f, 1.37f, 0.46f, 3.81f, 6.99f, 1.92f, 3.57f, 6.78f, 6.82f, 9.63f, 2.33f, 2.7f, 9.85f, 4.8f, 5.43f}}, {1, {0.0f, 4.0f, 4.0f, 24.0f, 8.0f, 0.0f, 4.0f, 4.0f, 28.0f, 12.0f, 1.0f, 7.0f, 1.0f, 25.0f, 11.0f, 1.0f, 1.0f, 7.0f, 5.0f, 11.0f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {6.16f, 7.12f, 5.13f, 7.86f, 4.42f, 9.3f, 8.6f, 6.79f, 8.44f, 9.69f, 9.89f, 6.47f, 7.86f, 9.3f, 9.3f, 7.86f, 9.3f, 9.3f, 9.89f, 9.89f, 9.5f, 9.89f, 9.89f, 9.5f, 9.5f, 9.5f, 6.89f, 6.18f, 9.99f, 9.99f, 6.73f, 9.28f, 8.97f, 9.63f, 9.85f, 9.85f, 7.29f, 7.29f, 2.31f, 7.9f, 7.9f, 4.64f, 6.94f, 6.94f, 6.88f, 6.78f, 6.82f, 6.82f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_nchw_relaxed_2;
+};
+
+std::vector<MixedTypedExample>& get_examples_nchw_quant8_2() {
+static std::vector<MixedTypedExample> examples_nchw_quant8_2 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{1, {0.0f, 4.0f, 4.0f, 24.0f, 8.0f, 0.0f, 4.0f, 4.0f, 28.0f, 12.0f, 1.0f, 7.0f, 1.0f, 25.0f, 11.0f, 1.0f, 1.0f, 7.0f, 5.0f, 11.0f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {{0, {221, 185, 249, 2, 162, 189, 22, 158, 41, 154, 146, 178, 144, 128, 127, 71, 209, 197, 49, 111, 5, 233, 126, 27, 32, 51, 192, 104, 134, 26, 225, 102, 222, 140, 109, 191, 237, 75, 75, 110, 168, 215, 79, 170, 166, 211, 178, 30, 22, 242, 33, 247, 225, 11, 162, 238, 55, 194, 16, 178, 198, 37, 24, 16, 137, 22, 60, 219, 90, 146, 172, 98, 185, 78, 47, 238, 52, 77, 6, 27, 182, 58, 108, 22, 152, 22, 109, 205, 198, 116, 154, 66, 34, 250, 202, 195, 66, 122, 61, 2, 232, 224, 36, 148, 231, 123, 80, 168, 183, 124, 223, 7, 174, 172, 34, 12, 95, 175, 48, 89, 170, 171, 241, 58, 68, 246, 120, 136}}},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {{0, {154, 178, 128, 197, 111, 233, 215, 170, 211, 242, 247, 162, 197, 233, 233, 197, 233, 233, 247, 247, 238, 247, 247, 238, 238, 238, 172, 154, 250, 250, 168, 232, 224, 241, 246, 246, 182, 182, 58, 198, 198, 116, 174, 174, 172, 170, 171, 171}}},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+return examples_nchw_quant8_2;
+};
+
diff --git a/nn/runtime/test/generated/examples/rotated_bbox_transform.example.cpp b/nn/runtime/test/generated/examples/rotated_bbox_transform.example.cpp
index 4fe212c..2465e42 100644
--- a/nn/runtime/test/generated/examples/rotated_bbox_transform.example.cpp
+++ b/nn/runtime/test/generated/examples/rotated_bbox_transform.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: rotated_bbox_transform.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples;
+};
-std::vector<MixedTypedExample> examples_relaxed = {
+std::vector<MixedTypedExample>& get_examples_relaxed() {
+static std::vector<MixedTypedExample> examples_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,11 @@
},
}, // End of an example
};
+return examples_relaxed;
+};
-std::vector<MixedTypedExample> examples_2 = {
+std::vector<MixedTypedExample>& get_examples_2() {
+static std::vector<MixedTypedExample> examples_2 = {
// Begin of an example
{
.operands = {
@@ -101,8 +108,11 @@
},
}, // End of an example
};
+return examples_2;
+};
-std::vector<MixedTypedExample> examples_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_2() {
+static std::vector<MixedTypedExample> examples_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -135,8 +145,11 @@
},
}, // End of an example
};
+return examples_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_3 = {
+std::vector<MixedTypedExample>& get_examples_3() {
+static std::vector<MixedTypedExample> examples_3 = {
// Begin of an example
{
.operands = {
@@ -169,8 +182,11 @@
},
}, // End of an example
};
+return examples_3;
+};
-std::vector<MixedTypedExample> examples_relaxed_3 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_3() {
+static std::vector<MixedTypedExample> examples_relaxed_3 = {
// Begin of an example
{
.operands = {
@@ -203,8 +219,11 @@
},
}, // End of an example
};
+return examples_relaxed_3;
+};
-std::vector<MixedTypedExample> examples_single_batch = {
+std::vector<MixedTypedExample>& get_examples_single_batch() {
+static std::vector<MixedTypedExample> examples_single_batch = {
// Begin of an example
{
.operands = {
@@ -237,8 +256,11 @@
},
}, // End of an example
};
+return examples_single_batch;
+};
-std::vector<MixedTypedExample> examples_single_batch_relaxed = {
+std::vector<MixedTypedExample>& get_examples_single_batch_relaxed() {
+static std::vector<MixedTypedExample> examples_single_batch_relaxed = {
// Begin of an example
{
.operands = {
@@ -271,4 +293,6 @@
},
}, // End of an example
};
+return examples_single_batch_relaxed;
+};
diff --git a/nn/runtime/test/generated/examples/slice.example.cpp b/nn/runtime/test/generated/examples/slice.example.cpp
new file mode 100644
index 0000000..00e6eea
--- /dev/null
+++ b/nn/runtime/test/generated/examples/slice.example.cpp
@@ -0,0 +1,818 @@
+// clang-format off
+// Generated file (from: slice.mod.py). Do not edit
+std::vector<MixedTypedExample> examples = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {1.0f, 2.0f, 3.0f, 4.0f}}},
+ // int -> INT32 map
+ {{1, {1}}, {2, {2}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {2.0f, 3.0f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+
+std::vector<MixedTypedExample> examples_relaxed = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {1.0f, 2.0f, 3.0f, 4.0f}}},
+ // int -> INT32 map
+ {{1, {1}}, {2, {2}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {2.0f, 3.0f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+
+std::vector<MixedTypedExample> examples_float16 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{1, {1}}, {2, {2}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 2.0f, 3.0f, 4.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {2.0f, 3.0f}}},
+}
+},
+}, // End of an example
+};
+
+std::vector<MixedTypedExample> examples_2 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}}},
+ // int -> INT32 map
+ {{1, {1, 0}}, {2, {1, 2}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {4.0f, 5.0f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+
+std::vector<MixedTypedExample> examples_relaxed_2 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}}},
+ // int -> INT32 map
+ {{1, {1, 0}}, {2, {1, 2}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {4.0f, 5.0f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+
+std::vector<MixedTypedExample> examples_float16_2 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{1, {1, 0}}, {2, {1, 2}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {4.0f, 5.0f}}},
+}
+},
+}, // End of an example
+};
+
+std::vector<MixedTypedExample> examples_3 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f}}},
+ // int -> INT32 map
+ {{1, {0, 0, 0}}, {2, {2, 3, 2}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+
+std::vector<MixedTypedExample> examples_relaxed_3 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f}}},
+ // int -> INT32 map
+ {{1, {0, 0, 0}}, {2, {2, 3, 2}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+
+std::vector<MixedTypedExample> examples_float16_3 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{1, {0, 0, 0}}, {2, {2, 3, 2}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f}}},
+}
+},
+}, // End of an example
+};
+
+std::vector<MixedTypedExample> examples_4 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {1.0f, 2.0f, 3.0f, 4.0f}}},
+ // int -> INT32 map
+ {{1, {1, 0, 0, 0}}, {2, {3, 1, 1, 1}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {2.0f, 3.0f, 4.0f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+
+std::vector<MixedTypedExample> examples_relaxed_4 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {1.0f, 2.0f, 3.0f, 4.0f}}},
+ // int -> INT32 map
+ {{1, {1, 0, 0, 0}}, {2, {3, 1, 1, 1}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {{0, {2.0f, 3.0f, 4.0f}}},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+
+std::vector<MixedTypedExample> examples_float16_4 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{1, {1, 0, 0, 0}}, {2, {3, 1, 1, 1}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 2.0f, 3.0f, 4.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {2.0f, 3.0f, 4.0f}}},
+}
+},
+}, // End of an example
+};
+
+std::vector<MixedTypedExample> examples_5 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6}}, {1, {1, 0, 0, 0}}, {2, {1, 1, 3, 1}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {3, 3, 3}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+
+std::vector<MixedTypedExample> examples_relaxed_5 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6}}, {1, {1, 0, 0, 0}}, {2, {1, 1, 3, 1}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {3, 3, 3}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+
+std::vector<MixedTypedExample> examples_float16_5 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6}}, {1, {1, 0, 0, 0}}, {2, {1, 1, 3, 1}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {3, 3, 3}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+
+std::vector<MixedTypedExample> examples_6 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6}}, {1, {1, 0, 0, 0}}, {2, {2, 1, 3, 1}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {3, 3, 3, 5, 5, 5}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+
+std::vector<MixedTypedExample> examples_relaxed_6 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6}}, {1, {1, 0, 0, 0}}, {2, {2, 1, 3, 1}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {3, 3, 3, 5, 5, 5}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+
+std::vector<MixedTypedExample> examples_float16_6 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6}}, {1, {1, 0, 0, 0}}, {2, {2, 1, 3, 1}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {3, 3, 3, 5, 5, 5}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+
+std::vector<MixedTypedExample> examples_7 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{1, {1, 0, 0, 0}}, {2, {2, 1, 3, 1}}},
+ // int -> QUANT8_ASYMM map
+ {{0, {1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6}}},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {{0, {3, 3, 3, 5, 5, 5}}},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+
+std::vector<MixedTypedExample> examples_relaxed_7 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{1, {1, 0, 0, 0}}, {2, {2, 1, 3, 1}}},
+ // int -> QUANT8_ASYMM map
+ {{0, {1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6}}},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {{0, {3, 3, 3, 5, 5, 5}}},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+
+std::vector<MixedTypedExample> examples_float16_7 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{1, {1, 0, 0, 0}}, {2, {2, 1, 3, 1}}},
+ // int -> QUANT8_ASYMM map
+ {{0, {1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6}}},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {{0, {3, 3, 3, 5, 5, 5}}},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+
+std::vector<MixedTypedExample> examples_8 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6}}, {1, {1, 0, 0, 0}}, {2, {2, 1, -1, 1}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {3, 3, 3, 5, 5, 5}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+
+std::vector<MixedTypedExample> examples_relaxed_8 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6}}, {1, {1, 0, 0, 0}}, {2, {2, 1, -1, 1}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {3, 3, 3, 5, 5, 5}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+
+std::vector<MixedTypedExample> examples_float16_8 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6}}, {1, {1, 0, 0, 0}}, {2, {2, 1, -1, 1}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {{0, {3, 3, 3, 5, 5, 5}}},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {},
+}
+},
+}, // End of an example
+};
+
diff --git a/nn/runtime/test/generated/examples/softmax_float_1.example.cpp b/nn/runtime/test/generated/examples/softmax_float_1.example.cpp
index e8ed69f..64e8587 100644
--- a/nn/runtime/test/generated/examples/softmax_float_1.example.cpp
+++ b/nn/runtime/test/generated/examples/softmax_float_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: softmax_float_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/softmax_float_1_relaxed.example.cpp b/nn/runtime/test/generated/examples/softmax_float_1_relaxed.example.cpp
index ee51ee6..76f90e1 100644
--- a/nn/runtime/test/generated/examples/softmax_float_1_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/softmax_float_1_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: softmax_float_1_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/softmax_float_2.example.cpp b/nn/runtime/test/generated/examples/softmax_float_2.example.cpp
index bb9cd77..fae753e 100644
--- a/nn/runtime/test/generated/examples/softmax_float_2.example.cpp
+++ b/nn/runtime/test/generated/examples/softmax_float_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: softmax_float_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/softmax_float_2_relaxed.example.cpp b/nn/runtime/test/generated/examples/softmax_float_2_relaxed.example.cpp
index 54baee8..4cdd341 100644
--- a/nn/runtime/test/generated/examples/softmax_float_2_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/softmax_float_2_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: softmax_float_2_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/softmax_quant8_1.example.cpp b/nn/runtime/test/generated/examples/softmax_quant8_1.example.cpp
index f0cfc24..a6bb733 100644
--- a/nn/runtime/test/generated/examples/softmax_quant8_1.example.cpp
+++ b/nn/runtime/test/generated/examples/softmax_quant8_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: softmax_quant8_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/softmax_quant8_2.example.cpp b/nn/runtime/test/generated/examples/softmax_quant8_2.example.cpp
index 2bf6d19..e02a98a 100644
--- a/nn/runtime/test/generated/examples/softmax_quant8_2.example.cpp
+++ b/nn/runtime/test/generated/examples/softmax_quant8_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: softmax_quant8_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/softmax_v1_2.example.cpp b/nn/runtime/test/generated/examples/softmax_v1_2.example.cpp
index 57d7815..0045a19 100644
--- a/nn/runtime/test/generated/examples/softmax_v1_2.example.cpp
+++ b/nn/runtime/test/generated/examples/softmax_v1_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: softmax_v1_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples;
+};
-std::vector<MixedTypedExample> examples_dim1_axis0 = {
+std::vector<MixedTypedExample>& get_examples_dim1_axis0() {
+static std::vector<MixedTypedExample> examples_dim1_axis0 = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,11 @@
},
}, // End of an example
};
+return examples_dim1_axis0;
+};
-std::vector<MixedTypedExample> examples_dim3_axis2 = {
+std::vector<MixedTypedExample>& get_examples_dim3_axis2() {
+static std::vector<MixedTypedExample> examples_dim3_axis2 = {
// Begin of an example
{
.operands = {
@@ -101,8 +108,11 @@
},
}, // End of an example
};
+return examples_dim3_axis2;
+};
-std::vector<MixedTypedExample> examples_relaxed = {
+std::vector<MixedTypedExample>& get_examples_relaxed() {
+static std::vector<MixedTypedExample> examples_relaxed = {
// Begin of an example
{
.operands = {
@@ -135,8 +145,11 @@
},
}, // End of an example
};
+return examples_relaxed;
+};
-std::vector<MixedTypedExample> examples_relaxed_dim1_axis0 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_dim1_axis0() {
+static std::vector<MixedTypedExample> examples_relaxed_dim1_axis0 = {
// Begin of an example
{
.operands = {
@@ -169,8 +182,11 @@
},
}, // End of an example
};
+return examples_relaxed_dim1_axis0;
+};
-std::vector<MixedTypedExample> examples_relaxed_dim3_axis2 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_dim3_axis2() {
+static std::vector<MixedTypedExample> examples_relaxed_dim3_axis2 = {
// Begin of an example
{
.operands = {
@@ -203,8 +219,11 @@
},
}, // End of an example
};
+return examples_relaxed_dim3_axis2;
+};
-std::vector<MixedTypedExample> examples_float16 = {
+std::vector<MixedTypedExample>& get_examples_float16() {
+static std::vector<MixedTypedExample> examples_float16 = {
// Begin of an example
{
.operands = {
@@ -216,7 +235,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f}}},
@@ -229,7 +248,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.011656231246888638f, 0.03168492019176483f, 0.08612854033708572f, 0.2341216504573822f, 0.6364086270332336f, 0.6364086270332336f, 0.2341216504573822f, 0.08612854033708572f, 0.03168492019176483f, 0.011656231246888638f, 0.011656231246888638f, 0.03168492019176483f, 0.08612854033708572f, 0.2341216504573822f, 0.6364086270332336f, 0.6364086270332336f, 0.2341216504573822f, 0.08612854033708572f, 0.03168492019176483f, 0.011656231246888638f, 0.011656231246888638f, 0.03168492019176483f, 0.08612854033708572f, 0.2341216504573822f, 0.6364086270332336f, 0.6364086270332336f, 0.2341216504573822f, 0.08612854033708572f, 0.03168492019176483f, 0.011656231246888638f, 0.011656231246888638f, 0.03168492019176483f, 0.08612854033708572f, 0.2341216504573822f, 0.6364086270332336f, 0.6364086270332336f, 0.2341216504573822f, 0.08612854033708572f, 0.03168492019176483f, 0.011656231246888638f}}},
@@ -237,8 +256,11 @@
},
}, // End of an example
};
+return examples_float16;
+};
-std::vector<MixedTypedExample> examples_float16_dim1_axis0 = {
+std::vector<MixedTypedExample>& get_examples_float16_dim1_axis0() {
+static std::vector<MixedTypedExample> examples_float16_dim1_axis0 = {
// Begin of an example
{
.operands = {
@@ -250,7 +272,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f}}},
@@ -263,7 +285,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.011656231246888638f, 0.03168492019176483f, 0.08612854033708572f, 0.2341216504573822f, 0.6364086270332336f}}},
@@ -271,8 +293,11 @@
},
}, // End of an example
};
+return examples_float16_dim1_axis0;
+};
-std::vector<MixedTypedExample> examples_float16_dim3_axis2 = {
+std::vector<MixedTypedExample>& get_examples_float16_dim3_axis2() {
+static std::vector<MixedTypedExample> examples_float16_dim3_axis2 = {
// Begin of an example
{
.operands = {
@@ -284,7 +309,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f}}},
@@ -297,7 +322,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.011656231246888638f, 0.03168492019176483f, 0.08612854033708572f, 0.2341216504573822f, 0.6364086270332336f, 0.6364086270332336f, 0.2341216504573822f, 0.08612854033708572f, 0.03168492019176483f, 0.011656231246888638f, 0.011656231246888638f, 0.03168492019176483f, 0.08612854033708572f, 0.2341216504573822f, 0.6364086270332336f, 0.6364086270332336f, 0.2341216504573822f, 0.08612854033708572f, 0.03168492019176483f, 0.011656231246888638f}}},
@@ -305,8 +330,11 @@
},
}, // End of an example
};
+return examples_float16_dim3_axis2;
+};
-std::vector<MixedTypedExample> examples_quant8 = {
+std::vector<MixedTypedExample>& get_examples_quant8() {
+static std::vector<MixedTypedExample> examples_quant8 = {
// Begin of an example
{
.operands = {
@@ -339,8 +367,11 @@
},
}, // End of an example
};
+return examples_quant8;
+};
-std::vector<MixedTypedExample> examples_quant8_dim1_axis0 = {
+std::vector<MixedTypedExample>& get_examples_quant8_dim1_axis0() {
+static std::vector<MixedTypedExample> examples_quant8_dim1_axis0 = {
// Begin of an example
{
.operands = {
@@ -373,8 +404,11 @@
},
}, // End of an example
};
+return examples_quant8_dim1_axis0;
+};
-std::vector<MixedTypedExample> examples_quant8_dim3_axis2 = {
+std::vector<MixedTypedExample>& get_examples_quant8_dim3_axis2() {
+static std::vector<MixedTypedExample> examples_quant8_dim3_axis2 = {
// Begin of an example
{
.operands = {
@@ -407,8 +441,11 @@
},
}, // End of an example
};
+return examples_quant8_dim3_axis2;
+};
-std::vector<MixedTypedExample> examples_2 = {
+std::vector<MixedTypedExample>& get_examples_2() {
+static std::vector<MixedTypedExample> examples_2 = {
// Begin of an example
{
.operands = {
@@ -441,8 +478,11 @@
},
}, // End of an example
};
+return examples_2;
+};
-std::vector<MixedTypedExample> examples_dim1_axis0_2 = {
+std::vector<MixedTypedExample>& get_examples_dim1_axis0_2() {
+static std::vector<MixedTypedExample> examples_dim1_axis0_2 = {
// Begin of an example
{
.operands = {
@@ -475,8 +515,11 @@
},
}, // End of an example
};
+return examples_dim1_axis0_2;
+};
-std::vector<MixedTypedExample> examples_dim3_axis2_2 = {
+std::vector<MixedTypedExample>& get_examples_dim3_axis2_2() {
+static std::vector<MixedTypedExample> examples_dim3_axis2_2 = {
// Begin of an example
{
.operands = {
@@ -509,8 +552,11 @@
},
}, // End of an example
};
+return examples_dim3_axis2_2;
+};
-std::vector<MixedTypedExample> examples_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_2() {
+static std::vector<MixedTypedExample> examples_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -543,8 +589,11 @@
},
}, // End of an example
};
+return examples_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_relaxed_dim1_axis0_2 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_dim1_axis0_2() {
+static std::vector<MixedTypedExample> examples_relaxed_dim1_axis0_2 = {
// Begin of an example
{
.operands = {
@@ -577,8 +626,11 @@
},
}, // End of an example
};
+return examples_relaxed_dim1_axis0_2;
+};
-std::vector<MixedTypedExample> examples_relaxed_dim3_axis2_2 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_dim3_axis2_2() {
+static std::vector<MixedTypedExample> examples_relaxed_dim3_axis2_2 = {
// Begin of an example
{
.operands = {
@@ -611,8 +663,11 @@
},
}, // End of an example
};
+return examples_relaxed_dim3_axis2_2;
+};
-std::vector<MixedTypedExample> examples_float16_2 = {
+std::vector<MixedTypedExample>& get_examples_float16_2() {
+static std::vector<MixedTypedExample> examples_float16_2 = {
// Begin of an example
{
.operands = {
@@ -624,7 +679,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f}}},
@@ -637,7 +692,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f}}},
@@ -645,8 +700,11 @@
},
}, // End of an example
};
+return examples_float16_2;
+};
-std::vector<MixedTypedExample> examples_float16_dim1_axis0_2 = {
+std::vector<MixedTypedExample>& get_examples_float16_dim1_axis0_2() {
+static std::vector<MixedTypedExample> examples_float16_dim1_axis0_2 = {
// Begin of an example
{
.operands = {
@@ -658,7 +716,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f}}},
@@ -671,7 +729,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f}}},
@@ -679,8 +737,11 @@
},
}, // End of an example
};
+return examples_float16_dim1_axis0_2;
+};
-std::vector<MixedTypedExample> examples_float16_dim3_axis2_2 = {
+std::vector<MixedTypedExample>& get_examples_float16_dim3_axis2_2() {
+static std::vector<MixedTypedExample> examples_float16_dim3_axis2_2 = {
// Begin of an example
{
.operands = {
@@ -692,7 +753,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f}}},
@@ -705,7 +766,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f}}},
@@ -713,8 +774,11 @@
},
}, // End of an example
};
+return examples_float16_dim3_axis2_2;
+};
-std::vector<MixedTypedExample> examples_quant8_2 = {
+std::vector<MixedTypedExample>& get_examples_quant8_2() {
+static std::vector<MixedTypedExample> examples_quant8_2 = {
// Begin of an example
{
.operands = {
@@ -747,8 +811,11 @@
},
}, // End of an example
};
+return examples_quant8_2;
+};
-std::vector<MixedTypedExample> examples_quant8_dim1_axis0_2 = {
+std::vector<MixedTypedExample>& get_examples_quant8_dim1_axis0_2() {
+static std::vector<MixedTypedExample> examples_quant8_dim1_axis0_2 = {
// Begin of an example
{
.operands = {
@@ -781,8 +848,11 @@
},
}, // End of an example
};
+return examples_quant8_dim1_axis0_2;
+};
-std::vector<MixedTypedExample> examples_quant8_dim3_axis2_2 = {
+std::vector<MixedTypedExample>& get_examples_quant8_dim3_axis2_2() {
+static std::vector<MixedTypedExample> examples_quant8_dim3_axis2_2 = {
// Begin of an example
{
.operands = {
@@ -815,8 +885,11 @@
},
}, // End of an example
};
+return examples_quant8_dim3_axis2_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis0 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis0() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis0 = {
// Begin of an example
{
.operands = {
@@ -849,8 +922,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis0;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis0_neg() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -883,8 +959,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis1 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis1() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis1 = {
// Begin of an example
{
.operands = {
@@ -917,8 +996,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis1;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis1_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis1_neg() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis1_neg = {
// Begin of an example
{
.operands = {
@@ -951,8 +1033,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis1_neg;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis2() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis2 = {
// Begin of an example
{
.operands = {
@@ -985,8 +1070,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis2;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis2_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis2_neg() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis2_neg = {
// Begin of an example
{
.operands = {
@@ -1019,8 +1107,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis2_neg;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis3 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis3() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis3 = {
// Begin of an example
{
.operands = {
@@ -1053,8 +1144,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis3;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis3_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis3_neg() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis3_neg = {
// Begin of an example
{
.operands = {
@@ -1087,8 +1181,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis3_neg;
+};
-std::vector<MixedTypedExample> examples_axis_dim3_axis0 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim3_axis0() {
+static std::vector<MixedTypedExample> examples_axis_dim3_axis0 = {
// Begin of an example
{
.operands = {
@@ -1121,8 +1218,11 @@
},
}, // End of an example
};
+return examples_axis_dim3_axis0;
+};
-std::vector<MixedTypedExample> examples_axis_dim3_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_dim3_axis0_neg() {
+static std::vector<MixedTypedExample> examples_axis_dim3_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -1155,8 +1255,11 @@
},
}, // End of an example
};
+return examples_axis_dim3_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_axis_dim3_axis1 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim3_axis1() {
+static std::vector<MixedTypedExample> examples_axis_dim3_axis1 = {
// Begin of an example
{
.operands = {
@@ -1189,8 +1292,11 @@
},
}, // End of an example
};
+return examples_axis_dim3_axis1;
+};
-std::vector<MixedTypedExample> examples_axis_dim3_axis1_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_dim3_axis1_neg() {
+static std::vector<MixedTypedExample> examples_axis_dim3_axis1_neg = {
// Begin of an example
{
.operands = {
@@ -1223,8 +1329,11 @@
},
}, // End of an example
};
+return examples_axis_dim3_axis1_neg;
+};
-std::vector<MixedTypedExample> examples_axis_dim3_axis2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim3_axis2() {
+static std::vector<MixedTypedExample> examples_axis_dim3_axis2 = {
// Begin of an example
{
.operands = {
@@ -1257,8 +1366,11 @@
},
}, // End of an example
};
+return examples_axis_dim3_axis2;
+};
-std::vector<MixedTypedExample> examples_axis_dim3_axis2_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_dim3_axis2_neg() {
+static std::vector<MixedTypedExample> examples_axis_dim3_axis2_neg = {
// Begin of an example
{
.operands = {
@@ -1291,8 +1403,11 @@
},
}, // End of an example
};
+return examples_axis_dim3_axis2_neg;
+};
-std::vector<MixedTypedExample> examples_axis_dim2_axis0 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim2_axis0() {
+static std::vector<MixedTypedExample> examples_axis_dim2_axis0 = {
// Begin of an example
{
.operands = {
@@ -1325,8 +1440,11 @@
},
}, // End of an example
};
+return examples_axis_dim2_axis0;
+};
-std::vector<MixedTypedExample> examples_axis_dim2_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_dim2_axis0_neg() {
+static std::vector<MixedTypedExample> examples_axis_dim2_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -1359,8 +1477,11 @@
},
}, // End of an example
};
+return examples_axis_dim2_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_axis_dim2_axis1 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim2_axis1() {
+static std::vector<MixedTypedExample> examples_axis_dim2_axis1 = {
// Begin of an example
{
.operands = {
@@ -1393,8 +1514,11 @@
},
}, // End of an example
};
+return examples_axis_dim2_axis1;
+};
-std::vector<MixedTypedExample> examples_axis_dim2_axis1_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_dim2_axis1_neg() {
+static std::vector<MixedTypedExample> examples_axis_dim2_axis1_neg = {
// Begin of an example
{
.operands = {
@@ -1427,8 +1551,11 @@
},
}, // End of an example
};
+return examples_axis_dim2_axis1_neg;
+};
-std::vector<MixedTypedExample> examples_axis_dim1_axis0 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim1_axis0() {
+static std::vector<MixedTypedExample> examples_axis_dim1_axis0 = {
// Begin of an example
{
.operands = {
@@ -1461,8 +1588,11 @@
},
}, // End of an example
};
+return examples_axis_dim1_axis0;
+};
-std::vector<MixedTypedExample> examples_axis_dim1_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_dim1_axis0_neg() {
+static std::vector<MixedTypedExample> examples_axis_dim1_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -1495,8 +1625,11 @@
},
}, // End of an example
};
+return examples_axis_dim1_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis0 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis0() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis0 = {
// Begin of an example
{
.operands = {
@@ -1529,8 +1662,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis0;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis0_neg() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -1563,8 +1699,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis1 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis1() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis1 = {
// Begin of an example
{
.operands = {
@@ -1597,8 +1736,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis1;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis1_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis1_neg() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis1_neg = {
// Begin of an example
{
.operands = {
@@ -1631,8 +1773,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis1_neg;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis2 = {
// Begin of an example
{
.operands = {
@@ -1665,8 +1810,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis2_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis2_neg() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis2_neg = {
// Begin of an example
{
.operands = {
@@ -1699,8 +1847,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis2_neg;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis3 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis3() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis3 = {
// Begin of an example
{
.operands = {
@@ -1733,8 +1884,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis3;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis3_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis3_neg() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis3_neg = {
// Begin of an example
{
.operands = {
@@ -1767,8 +1921,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis3_neg;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis0 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim3_axis0() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis0 = {
// Begin of an example
{
.operands = {
@@ -1801,8 +1958,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim3_axis0;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim3_axis0_neg() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -1835,8 +1995,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim3_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis1 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim3_axis1() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis1 = {
// Begin of an example
{
.operands = {
@@ -1869,8 +2032,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim3_axis1;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis1_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim3_axis1_neg() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis1_neg = {
// Begin of an example
{
.operands = {
@@ -1903,8 +2069,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim3_axis1_neg;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim3_axis2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis2 = {
// Begin of an example
{
.operands = {
@@ -1937,8 +2106,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim3_axis2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis2_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim3_axis2_neg() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis2_neg = {
// Begin of an example
{
.operands = {
@@ -1971,8 +2143,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim3_axis2_neg;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis0 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim2_axis0() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis0 = {
// Begin of an example
{
.operands = {
@@ -2005,8 +2180,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim2_axis0;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim2_axis0_neg() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -2039,8 +2217,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim2_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis1 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim2_axis1() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis1 = {
// Begin of an example
{
.operands = {
@@ -2073,8 +2254,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim2_axis1;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis1_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim2_axis1_neg() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis1_neg = {
// Begin of an example
{
.operands = {
@@ -2107,8 +2291,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim2_axis1_neg;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim1_axis0 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim1_axis0() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim1_axis0 = {
// Begin of an example
{
.operands = {
@@ -2141,8 +2328,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim1_axis0;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim1_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim1_axis0_neg() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim1_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -2175,8 +2365,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim1_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim4_axis0 = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim4_axis0() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim4_axis0 = {
// Begin of an example
{
.operands = {
@@ -2188,7 +2381,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, -1.0f, 1.0f, -1.0f, 1.0f, -1.0f, 1.0f, -1.0f, 2.0f, -2.0f, 2.0f, -2.0f, 2.0f, -2.0f, 2.0f, -2.0f, 3.0f, -3.0f, 3.0f, -3.0f, 3.0f, -3.0f, 3.0f, -3.0f, 4.0f, -4.0f, 4.0f, -4.0f, 4.0f, -4.0f, 4.0f, -4.0f, 5.0f, -5.0f, 5.0f, -5.0f, 5.0f, -5.0f, 5.0f, -5.0f}}},
@@ -2201,7 +2394,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.011656231246888638f, 0.6364086270332336f, 0.011656231246888638f, 0.6364086270332336f, 0.011656231246888638f, 0.6364086270332336f, 0.011656231246888638f, 0.6364086270332336f, 0.03168492019176483f, 0.2341216504573822f, 0.03168492019176483f, 0.2341216504573822f, 0.03168492019176483f, 0.2341216504573822f, 0.03168492019176483f, 0.2341216504573822f, 0.08612854033708572f, 0.08612854033708572f, 0.08612854033708572f, 0.08612854033708572f, 0.08612854033708572f, 0.08612854033708572f, 0.08612854033708572f, 0.08612854033708572f, 0.2341216504573822f, 0.03168492019176483f, 0.2341216504573822f, 0.03168492019176483f, 0.2341216504573822f, 0.03168492019176483f, 0.2341216504573822f, 0.03168492019176483f, 0.6364086270332336f, 0.011656231246888638f, 0.6364086270332336f, 0.011656231246888638f, 0.6364086270332336f, 0.011656231246888638f, 0.6364086270332336f, 0.011656231246888638f}}},
@@ -2209,8 +2402,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim4_axis0;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim4_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim4_axis0_neg() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim4_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -2222,7 +2418,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, -1.0f, 1.0f, -1.0f, 1.0f, -1.0f, 1.0f, -1.0f, 2.0f, -2.0f, 2.0f, -2.0f, 2.0f, -2.0f, 2.0f, -2.0f, 3.0f, -3.0f, 3.0f, -3.0f, 3.0f, -3.0f, 3.0f, -3.0f, 4.0f, -4.0f, 4.0f, -4.0f, 4.0f, -4.0f, 4.0f, -4.0f, 5.0f, -5.0f, 5.0f, -5.0f, 5.0f, -5.0f, 5.0f, -5.0f}}},
@@ -2235,7 +2431,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.011656231246888638f, 0.6364086270332336f, 0.011656231246888638f, 0.6364086270332336f, 0.011656231246888638f, 0.6364086270332336f, 0.011656231246888638f, 0.6364086270332336f, 0.03168492019176483f, 0.2341216504573822f, 0.03168492019176483f, 0.2341216504573822f, 0.03168492019176483f, 0.2341216504573822f, 0.03168492019176483f, 0.2341216504573822f, 0.08612854033708572f, 0.08612854033708572f, 0.08612854033708572f, 0.08612854033708572f, 0.08612854033708572f, 0.08612854033708572f, 0.08612854033708572f, 0.08612854033708572f, 0.2341216504573822f, 0.03168492019176483f, 0.2341216504573822f, 0.03168492019176483f, 0.2341216504573822f, 0.03168492019176483f, 0.2341216504573822f, 0.03168492019176483f, 0.6364086270332336f, 0.011656231246888638f, 0.6364086270332336f, 0.011656231246888638f, 0.6364086270332336f, 0.011656231246888638f, 0.6364086270332336f, 0.011656231246888638f}}},
@@ -2243,8 +2439,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim4_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim4_axis1 = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim4_axis1() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim4_axis1 = {
// Begin of an example
{
.operands = {
@@ -2256,7 +2455,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, -1.0f, 1.0f, -1.0f, 2.0f, -2.0f, 2.0f, -2.0f, 3.0f, -3.0f, 3.0f, -3.0f, 4.0f, -4.0f, 4.0f, -4.0f, 5.0f, -5.0f, 5.0f, -5.0f, 1.0f, -1.0f, 1.0f, -1.0f, 2.0f, -2.0f, 2.0f, -2.0f, 3.0f, -3.0f, 3.0f, -3.0f, 4.0f, -4.0f, 4.0f, -4.0f, 5.0f, -5.0f, 5.0f, -5.0f}}},
@@ -2269,7 +2468,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.011656231246888638f, 0.6364086270332336f, 0.011656231246888638f, 0.6364086270332336f, 0.03168492019176483f, 0.2341216504573822f, 0.03168492019176483f, 0.2341216504573822f, 0.08612854033708572f, 0.08612854033708572f, 0.08612854033708572f, 0.08612854033708572f, 0.2341216504573822f, 0.03168492019176483f, 0.2341216504573822f, 0.03168492019176483f, 0.6364086270332336f, 0.011656231246888638f, 0.6364086270332336f, 0.011656231246888638f, 0.011656231246888638f, 0.6364086270332336f, 0.011656231246888638f, 0.6364086270332336f, 0.03168492019176483f, 0.2341216504573822f, 0.03168492019176483f, 0.2341216504573822f, 0.08612854033708572f, 0.08612854033708572f, 0.08612854033708572f, 0.08612854033708572f, 0.2341216504573822f, 0.03168492019176483f, 0.2341216504573822f, 0.03168492019176483f, 0.6364086270332336f, 0.011656231246888638f, 0.6364086270332336f, 0.011656231246888638f}}},
@@ -2277,8 +2476,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim4_axis1;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim4_axis1_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim4_axis1_neg() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim4_axis1_neg = {
// Begin of an example
{
.operands = {
@@ -2290,7 +2492,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, -1.0f, 1.0f, -1.0f, 2.0f, -2.0f, 2.0f, -2.0f, 3.0f, -3.0f, 3.0f, -3.0f, 4.0f, -4.0f, 4.0f, -4.0f, 5.0f, -5.0f, 5.0f, -5.0f, 1.0f, -1.0f, 1.0f, -1.0f, 2.0f, -2.0f, 2.0f, -2.0f, 3.0f, -3.0f, 3.0f, -3.0f, 4.0f, -4.0f, 4.0f, -4.0f, 5.0f, -5.0f, 5.0f, -5.0f}}},
@@ -2303,7 +2505,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.011656231246888638f, 0.6364086270332336f, 0.011656231246888638f, 0.6364086270332336f, 0.03168492019176483f, 0.2341216504573822f, 0.03168492019176483f, 0.2341216504573822f, 0.08612854033708572f, 0.08612854033708572f, 0.08612854033708572f, 0.08612854033708572f, 0.2341216504573822f, 0.03168492019176483f, 0.2341216504573822f, 0.03168492019176483f, 0.6364086270332336f, 0.011656231246888638f, 0.6364086270332336f, 0.011656231246888638f, 0.011656231246888638f, 0.6364086270332336f, 0.011656231246888638f, 0.6364086270332336f, 0.03168492019176483f, 0.2341216504573822f, 0.03168492019176483f, 0.2341216504573822f, 0.08612854033708572f, 0.08612854033708572f, 0.08612854033708572f, 0.08612854033708572f, 0.2341216504573822f, 0.03168492019176483f, 0.2341216504573822f, 0.03168492019176483f, 0.6364086270332336f, 0.011656231246888638f, 0.6364086270332336f, 0.011656231246888638f}}},
@@ -2311,8 +2513,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim4_axis1_neg;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim4_axis2 = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim4_axis2() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim4_axis2 = {
// Begin of an example
{
.operands = {
@@ -2324,7 +2529,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, -1.0f, 2.0f, -2.0f, 3.0f, -3.0f, 4.0f, -4.0f, 5.0f, -5.0f, 1.0f, -1.0f, 2.0f, -2.0f, 3.0f, -3.0f, 4.0f, -4.0f, 5.0f, -5.0f, 1.0f, -1.0f, 2.0f, -2.0f, 3.0f, -3.0f, 4.0f, -4.0f, 5.0f, -5.0f, 1.0f, -1.0f, 2.0f, -2.0f, 3.0f, -3.0f, 4.0f, -4.0f, 5.0f, -5.0f}}},
@@ -2337,7 +2542,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.011656231246888638f, 0.6364086270332336f, 0.03168492019176483f, 0.2341216504573822f, 0.08612854033708572f, 0.08612854033708572f, 0.2341216504573822f, 0.03168492019176483f, 0.6364086270332336f, 0.011656231246888638f, 0.011656231246888638f, 0.6364086270332336f, 0.03168492019176483f, 0.2341216504573822f, 0.08612854033708572f, 0.08612854033708572f, 0.2341216504573822f, 0.03168492019176483f, 0.6364086270332336f, 0.011656231246888638f, 0.011656231246888638f, 0.6364086270332336f, 0.03168492019176483f, 0.2341216504573822f, 0.08612854033708572f, 0.08612854033708572f, 0.2341216504573822f, 0.03168492019176483f, 0.6364086270332336f, 0.011656231246888638f, 0.011656231246888638f, 0.6364086270332336f, 0.03168492019176483f, 0.2341216504573822f, 0.08612854033708572f, 0.08612854033708572f, 0.2341216504573822f, 0.03168492019176483f, 0.6364086270332336f, 0.011656231246888638f}}},
@@ -2345,8 +2550,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim4_axis2;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim4_axis2_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim4_axis2_neg() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim4_axis2_neg = {
// Begin of an example
{
.operands = {
@@ -2358,7 +2566,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, -1.0f, 2.0f, -2.0f, 3.0f, -3.0f, 4.0f, -4.0f, 5.0f, -5.0f, 1.0f, -1.0f, 2.0f, -2.0f, 3.0f, -3.0f, 4.0f, -4.0f, 5.0f, -5.0f, 1.0f, -1.0f, 2.0f, -2.0f, 3.0f, -3.0f, 4.0f, -4.0f, 5.0f, -5.0f, 1.0f, -1.0f, 2.0f, -2.0f, 3.0f, -3.0f, 4.0f, -4.0f, 5.0f, -5.0f}}},
@@ -2371,7 +2579,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.011656231246888638f, 0.6364086270332336f, 0.03168492019176483f, 0.2341216504573822f, 0.08612854033708572f, 0.08612854033708572f, 0.2341216504573822f, 0.03168492019176483f, 0.6364086270332336f, 0.011656231246888638f, 0.011656231246888638f, 0.6364086270332336f, 0.03168492019176483f, 0.2341216504573822f, 0.08612854033708572f, 0.08612854033708572f, 0.2341216504573822f, 0.03168492019176483f, 0.6364086270332336f, 0.011656231246888638f, 0.011656231246888638f, 0.6364086270332336f, 0.03168492019176483f, 0.2341216504573822f, 0.08612854033708572f, 0.08612854033708572f, 0.2341216504573822f, 0.03168492019176483f, 0.6364086270332336f, 0.011656231246888638f, 0.011656231246888638f, 0.6364086270332336f, 0.03168492019176483f, 0.2341216504573822f, 0.08612854033708572f, 0.08612854033708572f, 0.2341216504573822f, 0.03168492019176483f, 0.6364086270332336f, 0.011656231246888638f}}},
@@ -2379,8 +2587,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim4_axis2_neg;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim4_axis3 = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim4_axis3() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim4_axis3 = {
// Begin of an example
{
.operands = {
@@ -2392,7 +2603,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f}}},
@@ -2405,7 +2616,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.011656231246888638f, 0.03168492019176483f, 0.08612854033708572f, 0.2341216504573822f, 0.6364086270332336f, 0.6364086270332336f, 0.2341216504573822f, 0.08612854033708572f, 0.03168492019176483f, 0.011656231246888638f, 0.011656231246888638f, 0.03168492019176483f, 0.08612854033708572f, 0.2341216504573822f, 0.6364086270332336f, 0.6364086270332336f, 0.2341216504573822f, 0.08612854033708572f, 0.03168492019176483f, 0.011656231246888638f, 0.011656231246888638f, 0.03168492019176483f, 0.08612854033708572f, 0.2341216504573822f, 0.6364086270332336f, 0.6364086270332336f, 0.2341216504573822f, 0.08612854033708572f, 0.03168492019176483f, 0.011656231246888638f, 0.011656231246888638f, 0.03168492019176483f, 0.08612854033708572f, 0.2341216504573822f, 0.6364086270332336f, 0.6364086270332336f, 0.2341216504573822f, 0.08612854033708572f, 0.03168492019176483f, 0.011656231246888638f}}},
@@ -2413,8 +2624,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim4_axis3;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim4_axis3_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim4_axis3_neg() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim4_axis3_neg = {
// Begin of an example
{
.operands = {
@@ -2426,7 +2640,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f}}},
@@ -2439,7 +2653,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.011656231246888638f, 0.03168492019176483f, 0.08612854033708572f, 0.2341216504573822f, 0.6364086270332336f, 0.6364086270332336f, 0.2341216504573822f, 0.08612854033708572f, 0.03168492019176483f, 0.011656231246888638f, 0.011656231246888638f, 0.03168492019176483f, 0.08612854033708572f, 0.2341216504573822f, 0.6364086270332336f, 0.6364086270332336f, 0.2341216504573822f, 0.08612854033708572f, 0.03168492019176483f, 0.011656231246888638f, 0.011656231246888638f, 0.03168492019176483f, 0.08612854033708572f, 0.2341216504573822f, 0.6364086270332336f, 0.6364086270332336f, 0.2341216504573822f, 0.08612854033708572f, 0.03168492019176483f, 0.011656231246888638f, 0.011656231246888638f, 0.03168492019176483f, 0.08612854033708572f, 0.2341216504573822f, 0.6364086270332336f, 0.6364086270332336f, 0.2341216504573822f, 0.08612854033708572f, 0.03168492019176483f, 0.011656231246888638f}}},
@@ -2447,8 +2661,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim4_axis3_neg;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim3_axis0 = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim3_axis0() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim3_axis0 = {
// Begin of an example
{
.operands = {
@@ -2460,7 +2677,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, -1.0f, 1.0f, -1.0f, 2.0f, -2.0f, 2.0f, -2.0f, 3.0f, -3.0f, 3.0f, -3.0f, 4.0f, -4.0f, 4.0f, -4.0f, 5.0f, -5.0f, 5.0f, -5.0f}}},
@@ -2473,7 +2690,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.011656231246888638f, 0.6364086270332336f, 0.011656231246888638f, 0.6364086270332336f, 0.03168492019176483f, 0.2341216504573822f, 0.03168492019176483f, 0.2341216504573822f, 0.08612854033708572f, 0.08612854033708572f, 0.08612854033708572f, 0.08612854033708572f, 0.2341216504573822f, 0.03168492019176483f, 0.2341216504573822f, 0.03168492019176483f, 0.6364086270332336f, 0.011656231246888638f, 0.6364086270332336f, 0.011656231246888638f}}},
@@ -2481,8 +2698,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim3_axis0;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim3_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim3_axis0_neg() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim3_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -2494,7 +2714,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, -1.0f, 1.0f, -1.0f, 2.0f, -2.0f, 2.0f, -2.0f, 3.0f, -3.0f, 3.0f, -3.0f, 4.0f, -4.0f, 4.0f, -4.0f, 5.0f, -5.0f, 5.0f, -5.0f}}},
@@ -2507,7 +2727,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.011656231246888638f, 0.6364086270332336f, 0.011656231246888638f, 0.6364086270332336f, 0.03168492019176483f, 0.2341216504573822f, 0.03168492019176483f, 0.2341216504573822f, 0.08612854033708572f, 0.08612854033708572f, 0.08612854033708572f, 0.08612854033708572f, 0.2341216504573822f, 0.03168492019176483f, 0.2341216504573822f, 0.03168492019176483f, 0.6364086270332336f, 0.011656231246888638f, 0.6364086270332336f, 0.011656231246888638f}}},
@@ -2515,8 +2735,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim3_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim3_axis1 = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim3_axis1() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim3_axis1 = {
// Begin of an example
{
.operands = {
@@ -2528,7 +2751,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, -1.0f, 2.0f, -2.0f, 3.0f, -3.0f, 4.0f, -4.0f, 5.0f, -5.0f, 1.0f, -1.0f, 2.0f, -2.0f, 3.0f, -3.0f, 4.0f, -4.0f, 5.0f, -5.0f}}},
@@ -2541,7 +2764,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.011656231246888638f, 0.6364086270332336f, 0.03168492019176483f, 0.2341216504573822f, 0.08612854033708572f, 0.08612854033708572f, 0.2341216504573822f, 0.03168492019176483f, 0.6364086270332336f, 0.011656231246888638f, 0.011656231246888638f, 0.6364086270332336f, 0.03168492019176483f, 0.2341216504573822f, 0.08612854033708572f, 0.08612854033708572f, 0.2341216504573822f, 0.03168492019176483f, 0.6364086270332336f, 0.011656231246888638f}}},
@@ -2549,8 +2772,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim3_axis1;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim3_axis1_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim3_axis1_neg() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim3_axis1_neg = {
// Begin of an example
{
.operands = {
@@ -2562,7 +2788,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, -1.0f, 2.0f, -2.0f, 3.0f, -3.0f, 4.0f, -4.0f, 5.0f, -5.0f, 1.0f, -1.0f, 2.0f, -2.0f, 3.0f, -3.0f, 4.0f, -4.0f, 5.0f, -5.0f}}},
@@ -2575,7 +2801,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.011656231246888638f, 0.6364086270332336f, 0.03168492019176483f, 0.2341216504573822f, 0.08612854033708572f, 0.08612854033708572f, 0.2341216504573822f, 0.03168492019176483f, 0.6364086270332336f, 0.011656231246888638f, 0.011656231246888638f, 0.6364086270332336f, 0.03168492019176483f, 0.2341216504573822f, 0.08612854033708572f, 0.08612854033708572f, 0.2341216504573822f, 0.03168492019176483f, 0.6364086270332336f, 0.011656231246888638f}}},
@@ -2583,8 +2809,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim3_axis1_neg;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim3_axis2 = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim3_axis2() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim3_axis2 = {
// Begin of an example
{
.operands = {
@@ -2596,7 +2825,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f}}},
@@ -2609,7 +2838,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.011656231246888638f, 0.03168492019176483f, 0.08612854033708572f, 0.2341216504573822f, 0.6364086270332336f, 0.6364086270332336f, 0.2341216504573822f, 0.08612854033708572f, 0.03168492019176483f, 0.011656231246888638f, 0.011656231246888638f, 0.03168492019176483f, 0.08612854033708572f, 0.2341216504573822f, 0.6364086270332336f, 0.6364086270332336f, 0.2341216504573822f, 0.08612854033708572f, 0.03168492019176483f, 0.011656231246888638f}}},
@@ -2617,8 +2846,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim3_axis2;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim3_axis2_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim3_axis2_neg() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim3_axis2_neg = {
// Begin of an example
{
.operands = {
@@ -2630,7 +2862,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f}}},
@@ -2643,7 +2875,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.011656231246888638f, 0.03168492019176483f, 0.08612854033708572f, 0.2341216504573822f, 0.6364086270332336f, 0.6364086270332336f, 0.2341216504573822f, 0.08612854033708572f, 0.03168492019176483f, 0.011656231246888638f, 0.011656231246888638f, 0.03168492019176483f, 0.08612854033708572f, 0.2341216504573822f, 0.6364086270332336f, 0.6364086270332336f, 0.2341216504573822f, 0.08612854033708572f, 0.03168492019176483f, 0.011656231246888638f}}},
@@ -2651,8 +2883,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim3_axis2_neg;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim2_axis0 = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim2_axis0() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim2_axis0 = {
// Begin of an example
{
.operands = {
@@ -2664,7 +2899,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, -1.0f, 2.0f, -2.0f, 3.0f, -3.0f, 4.0f, -4.0f, 5.0f, -5.0f}}},
@@ -2677,7 +2912,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.011656231246888638f, 0.6364086270332336f, 0.03168492019176483f, 0.2341216504573822f, 0.08612854033708572f, 0.08612854033708572f, 0.2341216504573822f, 0.03168492019176483f, 0.6364086270332336f, 0.011656231246888638f}}},
@@ -2685,8 +2920,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim2_axis0;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim2_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim2_axis0_neg() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim2_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -2698,7 +2936,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, -1.0f, 2.0f, -2.0f, 3.0f, -3.0f, 4.0f, -4.0f, 5.0f, -5.0f}}},
@@ -2711,7 +2949,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.011656231246888638f, 0.6364086270332336f, 0.03168492019176483f, 0.2341216504573822f, 0.08612854033708572f, 0.08612854033708572f, 0.2341216504573822f, 0.03168492019176483f, 0.6364086270332336f, 0.011656231246888638f}}},
@@ -2719,8 +2957,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim2_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim2_axis1 = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim2_axis1() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim2_axis1 = {
// Begin of an example
{
.operands = {
@@ -2732,7 +2973,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f}}},
@@ -2745,7 +2986,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.011656231246888638f, 0.03168492019176483f, 0.08612854033708572f, 0.2341216504573822f, 0.6364086270332336f, 0.6364086270332336f, 0.2341216504573822f, 0.08612854033708572f, 0.03168492019176483f, 0.011656231246888638f}}},
@@ -2753,8 +2994,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim2_axis1;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim2_axis1_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim2_axis1_neg() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim2_axis1_neg = {
// Begin of an example
{
.operands = {
@@ -2766,7 +3010,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f}}},
@@ -2779,7 +3023,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.011656231246888638f, 0.03168492019176483f, 0.08612854033708572f, 0.2341216504573822f, 0.6364086270332336f, 0.6364086270332336f, 0.2341216504573822f, 0.08612854033708572f, 0.03168492019176483f, 0.011656231246888638f}}},
@@ -2787,8 +3031,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim2_axis1_neg;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim1_axis0 = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim1_axis0() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim1_axis0 = {
// Begin of an example
{
.operands = {
@@ -2800,7 +3047,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f}}},
@@ -2813,7 +3060,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.011656231246888638f, 0.03168492019176483f, 0.08612854033708572f, 0.2341216504573822f, 0.6364086270332336f}}},
@@ -2821,8 +3068,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim1_axis0;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim1_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim1_axis0_neg() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim1_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -2834,7 +3084,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f}}},
@@ -2847,7 +3097,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.011656231246888638f, 0.03168492019176483f, 0.08612854033708572f, 0.2341216504573822f, 0.6364086270332336f}}},
@@ -2855,8 +3105,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim1_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim4_axis0 = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim4_axis0() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim4_axis0 = {
// Begin of an example
{
.operands = {
@@ -2889,8 +3142,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim4_axis0;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim4_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim4_axis0_neg() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim4_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -2923,8 +3179,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim4_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim4_axis1 = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim4_axis1() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim4_axis1 = {
// Begin of an example
{
.operands = {
@@ -2957,8 +3216,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim4_axis1;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim4_axis1_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim4_axis1_neg() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim4_axis1_neg = {
// Begin of an example
{
.operands = {
@@ -2991,8 +3253,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim4_axis1_neg;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim4_axis2 = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim4_axis2() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim4_axis2 = {
// Begin of an example
{
.operands = {
@@ -3025,8 +3290,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim4_axis2;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim4_axis2_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim4_axis2_neg() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim4_axis2_neg = {
// Begin of an example
{
.operands = {
@@ -3059,8 +3327,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim4_axis2_neg;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim4_axis3 = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim4_axis3() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim4_axis3 = {
// Begin of an example
{
.operands = {
@@ -3093,8 +3364,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim4_axis3;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim4_axis3_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim4_axis3_neg() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim4_axis3_neg = {
// Begin of an example
{
.operands = {
@@ -3127,8 +3401,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim4_axis3_neg;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim3_axis0 = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim3_axis0() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim3_axis0 = {
// Begin of an example
{
.operands = {
@@ -3161,8 +3438,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim3_axis0;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim3_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim3_axis0_neg() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim3_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -3195,8 +3475,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim3_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim3_axis1 = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim3_axis1() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim3_axis1 = {
// Begin of an example
{
.operands = {
@@ -3229,8 +3512,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim3_axis1;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim3_axis1_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim3_axis1_neg() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim3_axis1_neg = {
// Begin of an example
{
.operands = {
@@ -3263,8 +3549,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim3_axis1_neg;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim3_axis2 = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim3_axis2() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim3_axis2 = {
// Begin of an example
{
.operands = {
@@ -3297,8 +3586,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim3_axis2;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim3_axis2_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim3_axis2_neg() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim3_axis2_neg = {
// Begin of an example
{
.operands = {
@@ -3331,8 +3623,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim3_axis2_neg;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim2_axis0 = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim2_axis0() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim2_axis0 = {
// Begin of an example
{
.operands = {
@@ -3365,8 +3660,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim2_axis0;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim2_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim2_axis0_neg() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim2_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -3399,8 +3697,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim2_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim2_axis1 = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim2_axis1() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim2_axis1 = {
// Begin of an example
{
.operands = {
@@ -3433,8 +3734,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim2_axis1;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim2_axis1_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim2_axis1_neg() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim2_axis1_neg = {
// Begin of an example
{
.operands = {
@@ -3467,8 +3771,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim2_axis1_neg;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim1_axis0 = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim1_axis0() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim1_axis0 = {
// Begin of an example
{
.operands = {
@@ -3501,8 +3808,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim1_axis0;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim1_axis0_neg = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim1_axis0_neg() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim1_axis0_neg = {
// Begin of an example
{
.operands = {
@@ -3535,8 +3845,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim1_axis0_neg;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis0_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis0_2() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis0_2 = {
// Begin of an example
{
.operands = {
@@ -3569,8 +3882,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis0_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis0_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis0_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis0_neg_2 = {
// Begin of an example
{
.operands = {
@@ -3603,8 +3919,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis0_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis1_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis1_2() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis1_2 = {
// Begin of an example
{
.operands = {
@@ -3637,8 +3956,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis1_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis1_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis1_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis1_neg_2 = {
// Begin of an example
{
.operands = {
@@ -3671,8 +3993,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis1_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis2_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis2_2() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis2_2 = {
// Begin of an example
{
.operands = {
@@ -3705,8 +4030,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis2_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis2_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis2_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis2_neg_2 = {
// Begin of an example
{
.operands = {
@@ -3739,8 +4067,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis2_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis3_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis3_2() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis3_2 = {
// Begin of an example
{
.operands = {
@@ -3773,8 +4104,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis3_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim4_axis3_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim4_axis3_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_dim4_axis3_neg_2 = {
// Begin of an example
{
.operands = {
@@ -3807,8 +4141,11 @@
},
}, // End of an example
};
+return examples_axis_dim4_axis3_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim3_axis0_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim3_axis0_2() {
+static std::vector<MixedTypedExample> examples_axis_dim3_axis0_2 = {
// Begin of an example
{
.operands = {
@@ -3841,8 +4178,11 @@
},
}, // End of an example
};
+return examples_axis_dim3_axis0_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim3_axis0_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim3_axis0_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_dim3_axis0_neg_2 = {
// Begin of an example
{
.operands = {
@@ -3875,8 +4215,11 @@
},
}, // End of an example
};
+return examples_axis_dim3_axis0_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim3_axis1_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim3_axis1_2() {
+static std::vector<MixedTypedExample> examples_axis_dim3_axis1_2 = {
// Begin of an example
{
.operands = {
@@ -3909,8 +4252,11 @@
},
}, // End of an example
};
+return examples_axis_dim3_axis1_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim3_axis1_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim3_axis1_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_dim3_axis1_neg_2 = {
// Begin of an example
{
.operands = {
@@ -3943,8 +4289,11 @@
},
}, // End of an example
};
+return examples_axis_dim3_axis1_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim3_axis2_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim3_axis2_2() {
+static std::vector<MixedTypedExample> examples_axis_dim3_axis2_2 = {
// Begin of an example
{
.operands = {
@@ -3977,8 +4326,11 @@
},
}, // End of an example
};
+return examples_axis_dim3_axis2_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim3_axis2_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim3_axis2_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_dim3_axis2_neg_2 = {
// Begin of an example
{
.operands = {
@@ -4011,8 +4363,11 @@
},
}, // End of an example
};
+return examples_axis_dim3_axis2_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim2_axis0_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim2_axis0_2() {
+static std::vector<MixedTypedExample> examples_axis_dim2_axis0_2 = {
// Begin of an example
{
.operands = {
@@ -4045,8 +4400,11 @@
},
}, // End of an example
};
+return examples_axis_dim2_axis0_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim2_axis0_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim2_axis0_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_dim2_axis0_neg_2 = {
// Begin of an example
{
.operands = {
@@ -4079,8 +4437,11 @@
},
}, // End of an example
};
+return examples_axis_dim2_axis0_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim2_axis1_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim2_axis1_2() {
+static std::vector<MixedTypedExample> examples_axis_dim2_axis1_2 = {
// Begin of an example
{
.operands = {
@@ -4113,8 +4474,11 @@
},
}, // End of an example
};
+return examples_axis_dim2_axis1_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim2_axis1_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim2_axis1_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_dim2_axis1_neg_2 = {
// Begin of an example
{
.operands = {
@@ -4147,8 +4511,11 @@
},
}, // End of an example
};
+return examples_axis_dim2_axis1_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim1_axis0_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim1_axis0_2() {
+static std::vector<MixedTypedExample> examples_axis_dim1_axis0_2 = {
// Begin of an example
{
.operands = {
@@ -4181,8 +4548,11 @@
},
}, // End of an example
};
+return examples_axis_dim1_axis0_2;
+};
-std::vector<MixedTypedExample> examples_axis_dim1_axis0_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_dim1_axis0_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_dim1_axis0_neg_2 = {
// Begin of an example
{
.operands = {
@@ -4215,8 +4585,11 @@
},
}, // End of an example
};
+return examples_axis_dim1_axis0_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis0_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis0_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis0_2 = {
// Begin of an example
{
.operands = {
@@ -4249,8 +4622,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis0_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis0_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis0_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis0_neg_2 = {
// Begin of an example
{
.operands = {
@@ -4283,8 +4659,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis0_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis1_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis1_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis1_2 = {
// Begin of an example
{
.operands = {
@@ -4317,8 +4696,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis1_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis1_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis1_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis1_neg_2 = {
// Begin of an example
{
.operands = {
@@ -4351,8 +4733,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis1_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis2_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis2_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis2_2 = {
// Begin of an example
{
.operands = {
@@ -4385,8 +4770,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis2_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis2_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis2_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis2_neg_2 = {
// Begin of an example
{
.operands = {
@@ -4419,8 +4807,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis2_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis3_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis3_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis3_2 = {
// Begin of an example
{
.operands = {
@@ -4453,8 +4844,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis3_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis3_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim4_axis3_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim4_axis3_neg_2 = {
// Begin of an example
{
.operands = {
@@ -4487,8 +4881,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim4_axis3_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis0_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim3_axis0_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis0_2 = {
// Begin of an example
{
.operands = {
@@ -4521,8 +4918,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim3_axis0_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis0_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim3_axis0_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis0_neg_2 = {
// Begin of an example
{
.operands = {
@@ -4555,8 +4955,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim3_axis0_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis1_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim3_axis1_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis1_2 = {
// Begin of an example
{
.operands = {
@@ -4589,8 +4992,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim3_axis1_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis1_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim3_axis1_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis1_neg_2 = {
// Begin of an example
{
.operands = {
@@ -4623,8 +5029,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim3_axis1_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis2_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim3_axis2_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis2_2 = {
// Begin of an example
{
.operands = {
@@ -4657,8 +5066,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim3_axis2_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis2_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim3_axis2_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim3_axis2_neg_2 = {
// Begin of an example
{
.operands = {
@@ -4691,8 +5103,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim3_axis2_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis0_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim2_axis0_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis0_2 = {
// Begin of an example
{
.operands = {
@@ -4725,8 +5140,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim2_axis0_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis0_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim2_axis0_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis0_neg_2 = {
// Begin of an example
{
.operands = {
@@ -4759,8 +5177,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim2_axis0_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis1_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim2_axis1_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis1_2 = {
// Begin of an example
{
.operands = {
@@ -4793,8 +5214,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim2_axis1_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis1_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim2_axis1_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim2_axis1_neg_2 = {
// Begin of an example
{
.operands = {
@@ -4827,8 +5251,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim2_axis1_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim1_axis0_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim1_axis0_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim1_axis0_2 = {
// Begin of an example
{
.operands = {
@@ -4861,8 +5288,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim1_axis0_2;
+};
-std::vector<MixedTypedExample> examples_axis_relaxed_dim1_axis0_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_relaxed_dim1_axis0_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_relaxed_dim1_axis0_neg_2 = {
// Begin of an example
{
.operands = {
@@ -4895,8 +5325,11 @@
},
}, // End of an example
};
+return examples_axis_relaxed_dim1_axis0_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim4_axis0_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim4_axis0_2() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim4_axis0_2 = {
// Begin of an example
{
.operands = {
@@ -4908,7 +5341,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, -1.0f, 1.0f, -1.0f, 1.0f, -1.0f, 1.0f, -1.0f, 2.0f, -2.0f, 2.0f, -2.0f, 2.0f, -2.0f, 2.0f, -2.0f, 3.0f, -3.0f, 3.0f, -3.0f, 3.0f, -3.0f, 3.0f, -3.0f, 4.0f, -4.0f, 4.0f, -4.0f, 4.0f, -4.0f, 4.0f, -4.0f, 5.0f, -5.0f, 5.0f, -5.0f, 5.0f, -5.0f, 5.0f, -5.0f}}},
@@ -4921,7 +5354,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f}}},
@@ -4929,8 +5362,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim4_axis0_2;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim4_axis0_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim4_axis0_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim4_axis0_neg_2 = {
// Begin of an example
{
.operands = {
@@ -4942,7 +5378,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, -1.0f, 1.0f, -1.0f, 1.0f, -1.0f, 1.0f, -1.0f, 2.0f, -2.0f, 2.0f, -2.0f, 2.0f, -2.0f, 2.0f, -2.0f, 3.0f, -3.0f, 3.0f, -3.0f, 3.0f, -3.0f, 3.0f, -3.0f, 4.0f, -4.0f, 4.0f, -4.0f, 4.0f, -4.0f, 4.0f, -4.0f, 5.0f, -5.0f, 5.0f, -5.0f, 5.0f, -5.0f, 5.0f, -5.0f}}},
@@ -4955,7 +5391,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f}}},
@@ -4963,8 +5399,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim4_axis0_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim4_axis1_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim4_axis1_2() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim4_axis1_2 = {
// Begin of an example
{
.operands = {
@@ -4976,7 +5415,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, -1.0f, 1.0f, -1.0f, 2.0f, -2.0f, 2.0f, -2.0f, 3.0f, -3.0f, 3.0f, -3.0f, 4.0f, -4.0f, 4.0f, -4.0f, 5.0f, -5.0f, 5.0f, -5.0f, 1.0f, -1.0f, 1.0f, -1.0f, 2.0f, -2.0f, 2.0f, -2.0f, 3.0f, -3.0f, 3.0f, -3.0f, 4.0f, -4.0f, 4.0f, -4.0f, 5.0f, -5.0f, 5.0f, -5.0f}}},
@@ -4989,7 +5428,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f}}},
@@ -4997,8 +5436,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim4_axis1_2;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim4_axis1_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim4_axis1_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim4_axis1_neg_2 = {
// Begin of an example
{
.operands = {
@@ -5010,7 +5452,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, -1.0f, 1.0f, -1.0f, 2.0f, -2.0f, 2.0f, -2.0f, 3.0f, -3.0f, 3.0f, -3.0f, 4.0f, -4.0f, 4.0f, -4.0f, 5.0f, -5.0f, 5.0f, -5.0f, 1.0f, -1.0f, 1.0f, -1.0f, 2.0f, -2.0f, 2.0f, -2.0f, 3.0f, -3.0f, 3.0f, -3.0f, 4.0f, -4.0f, 4.0f, -4.0f, 5.0f, -5.0f, 5.0f, -5.0f}}},
@@ -5023,7 +5465,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f}}},
@@ -5031,8 +5473,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim4_axis1_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim4_axis2_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim4_axis2_2() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim4_axis2_2 = {
// Begin of an example
{
.operands = {
@@ -5044,7 +5489,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, -1.0f, 2.0f, -2.0f, 3.0f, -3.0f, 4.0f, -4.0f, 5.0f, -5.0f, 1.0f, -1.0f, 2.0f, -2.0f, 3.0f, -3.0f, 4.0f, -4.0f, 5.0f, -5.0f, 1.0f, -1.0f, 2.0f, -2.0f, 3.0f, -3.0f, 4.0f, -4.0f, 5.0f, -5.0f, 1.0f, -1.0f, 2.0f, -2.0f, 3.0f, -3.0f, 4.0f, -4.0f, 5.0f, -5.0f}}},
@@ -5057,7 +5502,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f}}},
@@ -5065,8 +5510,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim4_axis2_2;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim4_axis2_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim4_axis2_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim4_axis2_neg_2 = {
// Begin of an example
{
.operands = {
@@ -5078,7 +5526,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, -1.0f, 2.0f, -2.0f, 3.0f, -3.0f, 4.0f, -4.0f, 5.0f, -5.0f, 1.0f, -1.0f, 2.0f, -2.0f, 3.0f, -3.0f, 4.0f, -4.0f, 5.0f, -5.0f, 1.0f, -1.0f, 2.0f, -2.0f, 3.0f, -3.0f, 4.0f, -4.0f, 5.0f, -5.0f, 1.0f, -1.0f, 2.0f, -2.0f, 3.0f, -3.0f, 4.0f, -4.0f, 5.0f, -5.0f}}},
@@ -5091,7 +5539,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f}}},
@@ -5099,8 +5547,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim4_axis2_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim4_axis3_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim4_axis3_2() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim4_axis3_2 = {
// Begin of an example
{
.operands = {
@@ -5112,7 +5563,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f}}},
@@ -5125,7 +5576,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f}}},
@@ -5133,8 +5584,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim4_axis3_2;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim4_axis3_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim4_axis3_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim4_axis3_neg_2 = {
// Begin of an example
{
.operands = {
@@ -5146,7 +5600,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f}}},
@@ -5159,7 +5613,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f}}},
@@ -5167,8 +5621,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim4_axis3_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim3_axis0_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim3_axis0_2() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim3_axis0_2 = {
// Begin of an example
{
.operands = {
@@ -5180,7 +5637,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, -1.0f, 1.0f, -1.0f, 2.0f, -2.0f, 2.0f, -2.0f, 3.0f, -3.0f, 3.0f, -3.0f, 4.0f, -4.0f, 4.0f, -4.0f, 5.0f, -5.0f, 5.0f, -5.0f}}},
@@ -5193,7 +5650,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f}}},
@@ -5201,8 +5658,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim3_axis0_2;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim3_axis0_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim3_axis0_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim3_axis0_neg_2 = {
// Begin of an example
{
.operands = {
@@ -5214,7 +5674,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, -1.0f, 1.0f, -1.0f, 2.0f, -2.0f, 2.0f, -2.0f, 3.0f, -3.0f, 3.0f, -3.0f, 4.0f, -4.0f, 4.0f, -4.0f, 5.0f, -5.0f, 5.0f, -5.0f}}},
@@ -5227,7 +5687,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f}}},
@@ -5235,8 +5695,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim3_axis0_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim3_axis1_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim3_axis1_2() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim3_axis1_2 = {
// Begin of an example
{
.operands = {
@@ -5248,7 +5711,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, -1.0f, 2.0f, -2.0f, 3.0f, -3.0f, 4.0f, -4.0f, 5.0f, -5.0f, 1.0f, -1.0f, 2.0f, -2.0f, 3.0f, -3.0f, 4.0f, -4.0f, 5.0f, -5.0f}}},
@@ -5261,7 +5724,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f}}},
@@ -5269,8 +5732,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim3_axis1_2;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim3_axis1_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim3_axis1_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim3_axis1_neg_2 = {
// Begin of an example
{
.operands = {
@@ -5282,7 +5748,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, -1.0f, 2.0f, -2.0f, 3.0f, -3.0f, 4.0f, -4.0f, 5.0f, -5.0f, 1.0f, -1.0f, 2.0f, -2.0f, 3.0f, -3.0f, 4.0f, -4.0f, 5.0f, -5.0f}}},
@@ -5295,7 +5761,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f}}},
@@ -5303,8 +5769,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim3_axis1_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim3_axis2_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim3_axis2_2() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim3_axis2_2 = {
// Begin of an example
{
.operands = {
@@ -5316,7 +5785,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f}}},
@@ -5329,7 +5798,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f}}},
@@ -5337,8 +5806,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim3_axis2_2;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim3_axis2_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim3_axis2_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim3_axis2_neg_2 = {
// Begin of an example
{
.operands = {
@@ -5350,7 +5822,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f}}},
@@ -5363,7 +5835,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f}}},
@@ -5371,8 +5843,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim3_axis2_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim2_axis0_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim2_axis0_2() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim2_axis0_2 = {
// Begin of an example
{
.operands = {
@@ -5384,7 +5859,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, -1.0f, 2.0f, -2.0f, 3.0f, -3.0f, 4.0f, -4.0f, 5.0f, -5.0f}}},
@@ -5397,7 +5872,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f}}},
@@ -5405,8 +5880,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim2_axis0_2;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim2_axis0_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim2_axis0_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim2_axis0_neg_2 = {
// Begin of an example
{
.operands = {
@@ -5418,7 +5896,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, -1.0f, 2.0f, -2.0f, 3.0f, -3.0f, 4.0f, -4.0f, 5.0f, -5.0f}}},
@@ -5431,7 +5909,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f}}},
@@ -5439,8 +5917,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim2_axis0_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim2_axis1_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim2_axis1_2() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim2_axis1_2 = {
// Begin of an example
{
.operands = {
@@ -5452,7 +5933,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f}}},
@@ -5465,7 +5946,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f}}},
@@ -5473,8 +5954,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim2_axis1_2;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim2_axis1_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim2_axis1_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim2_axis1_neg_2 = {
// Begin of an example
{
.operands = {
@@ -5486,7 +5970,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, -1.0f, -2.0f, -3.0f, -4.0f, -5.0f}}},
@@ -5499,7 +5983,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f}}},
@@ -5507,8 +5991,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim2_axis1_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim1_axis0_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim1_axis0_2() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim1_axis0_2 = {
// Begin of an example
{
.operands = {
@@ -5520,7 +6007,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f}}},
@@ -5533,7 +6020,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f}}},
@@ -5541,8 +6028,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim1_axis0_2;
+};
-std::vector<MixedTypedExample> examples_axis_float16_dim1_axis0_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_float16_dim1_axis0_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_float16_dim1_axis0_neg_2 = {
// Begin of an example
{
.operands = {
@@ -5554,7 +6044,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f}}},
@@ -5567,7 +6057,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f, 0.20000000298023224f}}},
@@ -5575,8 +6065,11 @@
},
}, // End of an example
};
+return examples_axis_float16_dim1_axis0_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim4_axis0_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim4_axis0_2() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim4_axis0_2 = {
// Begin of an example
{
.operands = {
@@ -5609,8 +6102,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim4_axis0_2;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim4_axis0_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim4_axis0_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim4_axis0_neg_2 = {
// Begin of an example
{
.operands = {
@@ -5643,8 +6139,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim4_axis0_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim4_axis1_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim4_axis1_2() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim4_axis1_2 = {
// Begin of an example
{
.operands = {
@@ -5677,8 +6176,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim4_axis1_2;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim4_axis1_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim4_axis1_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim4_axis1_neg_2 = {
// Begin of an example
{
.operands = {
@@ -5711,8 +6213,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim4_axis1_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim4_axis2_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim4_axis2_2() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim4_axis2_2 = {
// Begin of an example
{
.operands = {
@@ -5745,8 +6250,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim4_axis2_2;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim4_axis2_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim4_axis2_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim4_axis2_neg_2 = {
// Begin of an example
{
.operands = {
@@ -5779,8 +6287,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim4_axis2_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim4_axis3_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim4_axis3_2() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim4_axis3_2 = {
// Begin of an example
{
.operands = {
@@ -5813,8 +6324,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim4_axis3_2;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim4_axis3_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim4_axis3_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim4_axis3_neg_2 = {
// Begin of an example
{
.operands = {
@@ -5847,8 +6361,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim4_axis3_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim3_axis0_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim3_axis0_2() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim3_axis0_2 = {
// Begin of an example
{
.operands = {
@@ -5881,8 +6398,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim3_axis0_2;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim3_axis0_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim3_axis0_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim3_axis0_neg_2 = {
// Begin of an example
{
.operands = {
@@ -5915,8 +6435,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim3_axis0_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim3_axis1_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim3_axis1_2() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim3_axis1_2 = {
// Begin of an example
{
.operands = {
@@ -5949,8 +6472,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim3_axis1_2;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim3_axis1_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim3_axis1_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim3_axis1_neg_2 = {
// Begin of an example
{
.operands = {
@@ -5983,8 +6509,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim3_axis1_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim3_axis2_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim3_axis2_2() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim3_axis2_2 = {
// Begin of an example
{
.operands = {
@@ -6017,8 +6546,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim3_axis2_2;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim3_axis2_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim3_axis2_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim3_axis2_neg_2 = {
// Begin of an example
{
.operands = {
@@ -6051,8 +6583,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim3_axis2_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim2_axis0_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim2_axis0_2() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim2_axis0_2 = {
// Begin of an example
{
.operands = {
@@ -6085,8 +6620,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim2_axis0_2;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim2_axis0_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim2_axis0_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim2_axis0_neg_2 = {
// Begin of an example
{
.operands = {
@@ -6119,8 +6657,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim2_axis0_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim2_axis1_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim2_axis1_2() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim2_axis1_2 = {
// Begin of an example
{
.operands = {
@@ -6153,8 +6694,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim2_axis1_2;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim2_axis1_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim2_axis1_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim2_axis1_neg_2 = {
// Begin of an example
{
.operands = {
@@ -6187,8 +6731,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim2_axis1_neg_2;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim1_axis0_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim1_axis0_2() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim1_axis0_2 = {
// Begin of an example
{
.operands = {
@@ -6221,8 +6768,11 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim1_axis0_2;
+};
-std::vector<MixedTypedExample> examples_axis_quant8_dim1_axis0_neg_2 = {
+std::vector<MixedTypedExample>& get_examples_axis_quant8_dim1_axis0_neg_2() {
+static std::vector<MixedTypedExample> examples_axis_quant8_dim1_axis0_neg_2 = {
// Begin of an example
{
.operands = {
@@ -6255,4 +6805,6 @@
},
}, // End of an example
};
+return examples_axis_quant8_dim1_axis0_neg_2;
+};
diff --git a/nn/runtime/test/generated/examples/space_to_batch.example.cpp b/nn/runtime/test/generated/examples/space_to_batch.example.cpp
index 72d7d44..33e7474 100644
--- a/nn/runtime/test/generated/examples/space_to_batch.example.cpp
+++ b/nn/runtime/test/generated/examples/space_to_batch.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: space_to_batch.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/space_to_batch_float_1.example.cpp b/nn/runtime/test/generated/examples/space_to_batch_float_1.example.cpp
index c25c75b..1763341 100644
--- a/nn/runtime/test/generated/examples/space_to_batch_float_1.example.cpp
+++ b/nn/runtime/test/generated/examples/space_to_batch_float_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: space_to_batch_float_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/space_to_batch_float_1_relaxed.example.cpp b/nn/runtime/test/generated/examples/space_to_batch_float_1_relaxed.example.cpp
index 4a24a08..6e1bcc8 100644
--- a/nn/runtime/test/generated/examples/space_to_batch_float_1_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/space_to_batch_float_1_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: space_to_batch_float_1_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/space_to_batch_float_2.example.cpp b/nn/runtime/test/generated/examples/space_to_batch_float_2.example.cpp
index afe10ad..61e1d6a 100644
--- a/nn/runtime/test/generated/examples/space_to_batch_float_2.example.cpp
+++ b/nn/runtime/test/generated/examples/space_to_batch_float_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: space_to_batch_float_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/space_to_batch_float_2_relaxed.example.cpp b/nn/runtime/test/generated/examples/space_to_batch_float_2_relaxed.example.cpp
index e12ca93..ba498e5 100644
--- a/nn/runtime/test/generated/examples/space_to_batch_float_2_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/space_to_batch_float_2_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: space_to_batch_float_2_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/space_to_batch_float_3.example.cpp b/nn/runtime/test/generated/examples/space_to_batch_float_3.example.cpp
index 74ed6c7..0216810 100644
--- a/nn/runtime/test/generated/examples/space_to_batch_float_3.example.cpp
+++ b/nn/runtime/test/generated/examples/space_to_batch_float_3.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: space_to_batch_float_3.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/space_to_batch_float_3_relaxed.example.cpp b/nn/runtime/test/generated/examples/space_to_batch_float_3_relaxed.example.cpp
index bf60bff..32607b6 100644
--- a/nn/runtime/test/generated/examples/space_to_batch_float_3_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/space_to_batch_float_3_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: space_to_batch_float_3_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/space_to_batch_quant8_1.example.cpp b/nn/runtime/test/generated/examples/space_to_batch_quant8_1.example.cpp
index 35dbffb..82b8b51 100644
--- a/nn/runtime/test/generated/examples/space_to_batch_quant8_1.example.cpp
+++ b/nn/runtime/test/generated/examples/space_to_batch_quant8_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: space_to_batch_quant8_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/space_to_batch_quant8_2.example.cpp b/nn/runtime/test/generated/examples/space_to_batch_quant8_2.example.cpp
index ac79ab2..f023c8e 100644
--- a/nn/runtime/test/generated/examples/space_to_batch_quant8_2.example.cpp
+++ b/nn/runtime/test/generated/examples/space_to_batch_quant8_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: space_to_batch_quant8_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/space_to_batch_quant8_3.example.cpp b/nn/runtime/test/generated/examples/space_to_batch_quant8_3.example.cpp
index 6df799e..51e2327 100644
--- a/nn/runtime/test/generated/examples/space_to_batch_quant8_3.example.cpp
+++ b/nn/runtime/test/generated/examples/space_to_batch_quant8_3.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: space_to_batch_quant8_3.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/space_to_batch_relaxed.example.cpp b/nn/runtime/test/generated/examples/space_to_batch_relaxed.example.cpp
index 10cfe38..4423a27 100644
--- a/nn/runtime/test/generated/examples/space_to_batch_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/space_to_batch_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: space_to_batch_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/space_to_batch_v1_2.example.cpp b/nn/runtime/test/generated/examples/space_to_batch_v1_2.example.cpp
index a4b52de..84ad68e 100644
--- a/nn/runtime/test/generated/examples/space_to_batch_v1_2.example.cpp
+++ b/nn/runtime/test/generated/examples/space_to_batch_v1_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: space_to_batch_v1_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples_nhwc = {
+std::vector<MixedTypedExample>& get_examples_nhwc() {
+static std::vector<MixedTypedExample> examples_nhwc = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples_nhwc;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,48 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed;
+};
-std::vector<MixedTypedExample> examples_nhwc_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_float16() {
+static std::vector<MixedTypedExample> examples_nhwc_float16 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.399999976158142f, 2.299999952316284f, 3.200000047683716f, 4.099999904632568f, 5.400000095367432f, 6.300000190734863f, 7.199999809265137f, 8.100000381469727f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.399999976158142f, 2.299999952316284f, 3.200000047683716f, 4.099999904632568f, 5.400000095367432f, 6.300000190734863f, 7.199999809265137f, 8.100000381469727f}}},
+}
+},
+}, // End of an example
+};
+return examples_nhwc_float16;
+};
+
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8 = {
// Begin of an example
{
.operands = {
@@ -101,8 +145,11 @@
},
}, // End of an example
};
+return examples_nhwc_quant8;
+};
-std::vector<MixedTypedExample> examples_nchw = {
+std::vector<MixedTypedExample>& get_examples_nchw() {
+static std::vector<MixedTypedExample> examples_nchw = {
// Begin of an example
{
.operands = {
@@ -135,8 +182,11 @@
},
}, // End of an example
};
+return examples_nchw;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed = {
// Begin of an example
{
.operands = {
@@ -169,8 +219,48 @@
},
}, // End of an example
};
+return examples_nchw_relaxed;
+};
-std::vector<MixedTypedExample> examples_nchw_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nchw_float16() {
+static std::vector<MixedTypedExample> examples_nchw_float16 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.399999976158142f, 3.200000047683716f, 5.400000095367432f, 7.199999809265137f, 2.299999952316284f, 4.099999904632568f, 6.300000190734863f, 8.100000381469727f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.399999976158142f, 2.299999952316284f, 3.200000047683716f, 4.099999904632568f, 5.400000095367432f, 6.300000190734863f, 7.199999809265137f, 8.100000381469727f}}},
+}
+},
+}, // End of an example
+};
+return examples_nchw_float16;
+};
+
+std::vector<MixedTypedExample>& get_examples_nchw_quant8() {
+static std::vector<MixedTypedExample> examples_nchw_quant8 = {
// Begin of an example
{
.operands = {
@@ -203,8 +293,11 @@
},
}, // End of an example
};
+return examples_nchw_quant8;
+};
-std::vector<MixedTypedExample> examples_nhwc_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_2() {
+static std::vector<MixedTypedExample> examples_nhwc_2 = {
// Begin of an example
{
.operands = {
@@ -237,8 +330,11 @@
},
}, // End of an example
};
+return examples_nhwc_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed_2() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -271,8 +367,48 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_quant8_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_float16_2() {
+static std::vector<MixedTypedExample> examples_nhwc_float16_2 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 3.0f, 9.0f, 11.0f, 2.0f, 4.0f, 10.0f, 12.0f, 5.0f, 7.0f, 13.0f, 15.0f, 6.0f, 8.0f, 14.0f, 16.0f}}},
+}
+},
+}, // End of an example
+};
+return examples_nhwc_float16_2;
+};
+
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8_2() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8_2 = {
// Begin of an example
{
.operands = {
@@ -305,8 +441,11 @@
},
}, // End of an example
};
+return examples_nhwc_quant8_2;
+};
-std::vector<MixedTypedExample> examples_nchw_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_2() {
+static std::vector<MixedTypedExample> examples_nchw_2 = {
// Begin of an example
{
.operands = {
@@ -339,8 +478,11 @@
},
}, // End of an example
};
+return examples_nchw_2;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed_2() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -373,8 +515,48 @@
},
}, // End of an example
};
+return examples_nchw_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_nchw_quant8_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_float16_2() {
+static std::vector<MixedTypedExample> examples_nchw_float16_2 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 3.0f, 9.0f, 11.0f, 2.0f, 4.0f, 10.0f, 12.0f, 5.0f, 7.0f, 13.0f, 15.0f, 6.0f, 8.0f, 14.0f, 16.0f}}},
+}
+},
+}, // End of an example
+};
+return examples_nchw_float16_2;
+};
+
+std::vector<MixedTypedExample>& get_examples_nchw_quant8_2() {
+static std::vector<MixedTypedExample> examples_nchw_quant8_2 = {
// Begin of an example
{
.operands = {
@@ -407,8 +589,11 @@
},
}, // End of an example
};
+return examples_nchw_quant8_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_3 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_3() {
+static std::vector<MixedTypedExample> examples_nhwc_3 = {
// Begin of an example
{
.operands = {
@@ -441,8 +626,11 @@
},
}, // End of an example
};
+return examples_nhwc_3;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed_3 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed_3() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed_3 = {
// Begin of an example
{
.operands = {
@@ -475,8 +663,48 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed_3;
+};
-std::vector<MixedTypedExample> examples_nhwc_quant8_3 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_float16_3() {
+static std::vector<MixedTypedExample> examples_nhwc_float16_3 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {0.0f, 0.0f, 0.0f, 5.0f, 0.0f, 0.0f, 0.0f, 6.0f, 0.0f, 1.0f, 0.0f, 7.0f, 0.0f, 2.0f, 0.0f, 8.0f, 0.0f, 3.0f, 0.0f, 9.0f, 0.0f, 4.0f, 0.0f, 10.0f}}},
+}
+},
+}, // End of an example
+};
+return examples_nhwc_float16_3;
+};
+
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8_3() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8_3 = {
// Begin of an example
{
.operands = {
@@ -509,8 +737,11 @@
},
}, // End of an example
};
+return examples_nhwc_quant8_3;
+};
-std::vector<MixedTypedExample> examples_nchw_3 = {
+std::vector<MixedTypedExample>& get_examples_nchw_3() {
+static std::vector<MixedTypedExample> examples_nchw_3 = {
// Begin of an example
{
.operands = {
@@ -543,8 +774,11 @@
},
}, // End of an example
};
+return examples_nchw_3;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed_3 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed_3() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed_3 = {
// Begin of an example
{
.operands = {
@@ -577,8 +811,48 @@
},
}, // End of an example
};
+return examples_nchw_relaxed_3;
+};
-std::vector<MixedTypedExample> examples_nchw_quant8_3 = {
+std::vector<MixedTypedExample>& get_examples_nchw_float16_3() {
+static std::vector<MixedTypedExample> examples_nchw_float16_3 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {0.0f, 0.0f, 0.0f, 5.0f, 0.0f, 0.0f, 0.0f, 6.0f, 0.0f, 1.0f, 0.0f, 7.0f, 0.0f, 2.0f, 0.0f, 8.0f, 0.0f, 3.0f, 0.0f, 9.0f, 0.0f, 4.0f, 0.0f, 10.0f}}},
+}
+},
+}, // End of an example
+};
+return examples_nchw_float16_3;
+};
+
+std::vector<MixedTypedExample>& get_examples_nchw_quant8_3() {
+static std::vector<MixedTypedExample> examples_nchw_quant8_3 = {
// Begin of an example
{
.operands = {
@@ -611,8 +885,11 @@
},
}, // End of an example
};
+return examples_nchw_quant8_3;
+};
-std::vector<MixedTypedExample> examples_nhwc_4 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_4() {
+static std::vector<MixedTypedExample> examples_nhwc_4 = {
// Begin of an example
{
.operands = {
@@ -645,8 +922,11 @@
},
}, // End of an example
};
+return examples_nhwc_4;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed_4 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed_4() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed_4 = {
// Begin of an example
{
.operands = {
@@ -679,8 +959,48 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed_4;
+};
-std::vector<MixedTypedExample> examples_nhwc_quant8_4 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_float16_4() {
+static std::vector<MixedTypedExample> examples_nhwc_float16_4 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 5.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 6.0f, 0.0f, 0.0f, 0.0f, 1.0f, 0.0f, 0.0f, 0.0f, 7.0f, 0.0f, 0.0f, 0.0f, 2.0f, 0.0f, 0.0f, 0.0f, 8.0f, 0.0f, 0.0f, 0.0f, 3.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 4.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}}},
+}
+},
+}, // End of an example
+};
+return examples_nhwc_float16_4;
+};
+
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8_4() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8_4 = {
// Begin of an example
{
.operands = {
@@ -713,8 +1033,11 @@
},
}, // End of an example
};
+return examples_nhwc_quant8_4;
+};
-std::vector<MixedTypedExample> examples_nchw_4 = {
+std::vector<MixedTypedExample>& get_examples_nchw_4() {
+static std::vector<MixedTypedExample> examples_nchw_4 = {
// Begin of an example
{
.operands = {
@@ -747,8 +1070,11 @@
},
}, // End of an example
};
+return examples_nchw_4;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed_4 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed_4() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed_4 = {
// Begin of an example
{
.operands = {
@@ -781,8 +1107,48 @@
},
}, // End of an example
};
+return examples_nchw_relaxed_4;
+};
-std::vector<MixedTypedExample> examples_nchw_quant8_4 = {
+std::vector<MixedTypedExample>& get_examples_nchw_float16_4() {
+static std::vector<MixedTypedExample> examples_nchw_float16_4 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 5.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 6.0f, 0.0f, 0.0f, 0.0f, 1.0f, 0.0f, 0.0f, 0.0f, 7.0f, 0.0f, 0.0f, 0.0f, 2.0f, 0.0f, 0.0f, 0.0f, 8.0f, 0.0f, 0.0f, 0.0f, 3.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 4.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}}},
+}
+},
+}, // End of an example
+};
+return examples_nchw_float16_4;
+};
+
+std::vector<MixedTypedExample>& get_examples_nchw_quant8_4() {
+static std::vector<MixedTypedExample> examples_nchw_quant8_4 = {
// Begin of an example
{
.operands = {
@@ -815,4 +1181,6 @@
},
}, // End of an example
};
+return examples_nchw_quant8_4;
+};
diff --git a/nn/runtime/test/generated/examples/space_to_depth_float_1.example.cpp b/nn/runtime/test/generated/examples/space_to_depth_float_1.example.cpp
index b9c3bb1..f240d75 100644
--- a/nn/runtime/test/generated/examples/space_to_depth_float_1.example.cpp
+++ b/nn/runtime/test/generated/examples/space_to_depth_float_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: space_to_depth_float_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/space_to_depth_float_1_relaxed.example.cpp b/nn/runtime/test/generated/examples/space_to_depth_float_1_relaxed.example.cpp
index af5c011..6d23591 100644
--- a/nn/runtime/test/generated/examples/space_to_depth_float_1_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/space_to_depth_float_1_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: space_to_depth_float_1_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/space_to_depth_float_2.example.cpp b/nn/runtime/test/generated/examples/space_to_depth_float_2.example.cpp
index f4f6766..eca16ea 100644
--- a/nn/runtime/test/generated/examples/space_to_depth_float_2.example.cpp
+++ b/nn/runtime/test/generated/examples/space_to_depth_float_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: space_to_depth_float_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/space_to_depth_float_2_relaxed.example.cpp b/nn/runtime/test/generated/examples/space_to_depth_float_2_relaxed.example.cpp
index 731aae6..4ff9bf4 100644
--- a/nn/runtime/test/generated/examples/space_to_depth_float_2_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/space_to_depth_float_2_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: space_to_depth_float_2_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/space_to_depth_float_3.example.cpp b/nn/runtime/test/generated/examples/space_to_depth_float_3.example.cpp
index d0e9ed8..be8b940 100644
--- a/nn/runtime/test/generated/examples/space_to_depth_float_3.example.cpp
+++ b/nn/runtime/test/generated/examples/space_to_depth_float_3.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: space_to_depth_float_3.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/space_to_depth_float_3_relaxed.example.cpp b/nn/runtime/test/generated/examples/space_to_depth_float_3_relaxed.example.cpp
index 9b3fe39..ee6a188 100644
--- a/nn/runtime/test/generated/examples/space_to_depth_float_3_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/space_to_depth_float_3_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: space_to_depth_float_3_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/space_to_depth_quant8_1.example.cpp b/nn/runtime/test/generated/examples/space_to_depth_quant8_1.example.cpp
index 20a3875..2cd4d13 100644
--- a/nn/runtime/test/generated/examples/space_to_depth_quant8_1.example.cpp
+++ b/nn/runtime/test/generated/examples/space_to_depth_quant8_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: space_to_depth_quant8_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/space_to_depth_quant8_2.example.cpp b/nn/runtime/test/generated/examples/space_to_depth_quant8_2.example.cpp
index 6009afc..73d9df9 100644
--- a/nn/runtime/test/generated/examples/space_to_depth_quant8_2.example.cpp
+++ b/nn/runtime/test/generated/examples/space_to_depth_quant8_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: space_to_depth_quant8_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/space_to_depth_v1_2.example.cpp b/nn/runtime/test/generated/examples/space_to_depth_v1_2.example.cpp
index 7738827..ce1c16c 100644
--- a/nn/runtime/test/generated/examples/space_to_depth_v1_2.example.cpp
+++ b/nn/runtime/test/generated/examples/space_to_depth_v1_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: space_to_depth_v1_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples_nhwc = {
+std::vector<MixedTypedExample>& get_examples_nhwc() {
+static std::vector<MixedTypedExample> examples_nhwc = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples_nhwc;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,48 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed;
+};
-std::vector<MixedTypedExample> examples_nhwc_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_float16() {
+static std::vector<MixedTypedExample> examples_nhwc_float16 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.399999976158142f, 2.299999952316284f, 3.200000047683716f, 4.099999904632568f, 5.400000095367432f, 6.300000190734863f, 7.199999809265137f, 8.100000381469727f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.399999976158142f, 2.299999952316284f, 3.200000047683716f, 4.099999904632568f, 5.400000095367432f, 6.300000190734863f, 7.199999809265137f, 8.100000381469727f}}},
+}
+},
+}, // End of an example
+};
+return examples_nhwc_float16;
+};
+
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8 = {
// Begin of an example
{
.operands = {
@@ -101,8 +145,11 @@
},
}, // End of an example
};
+return examples_nhwc_quant8;
+};
-std::vector<MixedTypedExample> examples_nchw = {
+std::vector<MixedTypedExample>& get_examples_nchw() {
+static std::vector<MixedTypedExample> examples_nchw = {
// Begin of an example
{
.operands = {
@@ -135,8 +182,11 @@
},
}, // End of an example
};
+return examples_nchw;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed = {
// Begin of an example
{
.operands = {
@@ -169,8 +219,48 @@
},
}, // End of an example
};
+return examples_nchw_relaxed;
+};
-std::vector<MixedTypedExample> examples_nchw_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nchw_float16() {
+static std::vector<MixedTypedExample> examples_nchw_float16 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.399999976158142f, 3.200000047683716f, 5.400000095367432f, 7.199999809265137f, 2.299999952316284f, 4.099999904632568f, 6.300000190734863f, 8.100000381469727f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.399999976158142f, 2.299999952316284f, 3.200000047683716f, 4.099999904632568f, 5.400000095367432f, 6.300000190734863f, 7.199999809265137f, 8.100000381469727f}}},
+}
+},
+}, // End of an example
+};
+return examples_nchw_float16;
+};
+
+std::vector<MixedTypedExample>& get_examples_nchw_quant8() {
+static std::vector<MixedTypedExample> examples_nchw_quant8 = {
// Begin of an example
{
.operands = {
@@ -203,8 +293,11 @@
},
}, // End of an example
};
+return examples_nchw_quant8;
+};
-std::vector<MixedTypedExample> examples_nhwc_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_2() {
+static std::vector<MixedTypedExample> examples_nhwc_2 = {
// Begin of an example
{
.operands = {
@@ -237,8 +330,11 @@
},
}, // End of an example
};
+return examples_nhwc_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed_2() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -271,8 +367,48 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_quant8_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_float16_2() {
+static std::vector<MixedTypedExample> examples_nhwc_float16_2 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 2.0f, 5.0f, 6.0f, 3.0f, 4.0f, 7.0f, 8.0f, 9.0f, 10.0f, 13.0f, 14.0f, 11.0f, 12.0f, 15.0f, 16.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f}}},
+}
+},
+}, // End of an example
+};
+return examples_nhwc_float16_2;
+};
+
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8_2() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8_2 = {
// Begin of an example
{
.operands = {
@@ -305,8 +441,11 @@
},
}, // End of an example
};
+return examples_nhwc_quant8_2;
+};
-std::vector<MixedTypedExample> examples_nchw_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_2() {
+static std::vector<MixedTypedExample> examples_nchw_2 = {
// Begin of an example
{
.operands = {
@@ -339,8 +478,11 @@
},
}, // End of an example
};
+return examples_nchw_2;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed_2() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -373,8 +515,48 @@
},
}, // End of an example
};
+return examples_nchw_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_nchw_quant8_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_float16_2() {
+static std::vector<MixedTypedExample> examples_nchw_float16_2 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 2.0f, 5.0f, 6.0f, 3.0f, 4.0f, 7.0f, 8.0f, 9.0f, 10.0f, 13.0f, 14.0f, 11.0f, 12.0f, 15.0f, 16.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {1.0f, 5.0f, 9.0f, 13.0f, 2.0f, 6.0f, 10.0f, 14.0f, 3.0f, 7.0f, 11.0f, 15.0f, 4.0f, 8.0f, 12.0f, 16.0f}}},
+}
+},
+}, // End of an example
+};
+return examples_nchw_float16_2;
+};
+
+std::vector<MixedTypedExample>& get_examples_nchw_quant8_2() {
+static std::vector<MixedTypedExample> examples_nchw_quant8_2 = {
// Begin of an example
{
.operands = {
@@ -407,8 +589,11 @@
},
}, // End of an example
};
+return examples_nchw_quant8_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_3 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_3() {
+static std::vector<MixedTypedExample> examples_nhwc_3 = {
// Begin of an example
{
.operands = {
@@ -441,8 +626,11 @@
},
}, // End of an example
};
+return examples_nhwc_3;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed_3 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed_3() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed_3 = {
// Begin of an example
{
.operands = {
@@ -475,8 +663,48 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed_3;
+};
-std::vector<MixedTypedExample> examples_nhwc_quant8_3 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_float16_3() {
+static std::vector<MixedTypedExample> examples_nhwc_float16_3 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {10.0f, 20.0f, 11.0f, 21.0f, 12.0f, 22.0f, 13.0f, 23.0f, 14.0f, 24.0f, 15.0f, 25.0f, 16.0f, 26.0f, 17.0f, 27.0f, 18.0f, 28.0f, 19.0f, 29.0f, 110.0f, 210.0f, 111.0f, 211.0f, 112.0f, 212.0f, 113.0f, 213.0f, 114.0f, 214.0f, 115.0f, 215.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {10.0f, 20.0f, 11.0f, 21.0f, 14.0f, 24.0f, 15.0f, 25.0f, 12.0f, 22.0f, 13.0f, 23.0f, 16.0f, 26.0f, 17.0f, 27.0f, 18.0f, 28.0f, 19.0f, 29.0f, 112.0f, 212.0f, 113.0f, 213.0f, 110.0f, 210.0f, 111.0f, 211.0f, 114.0f, 214.0f, 115.0f, 215.0f}}},
+}
+},
+}, // End of an example
+};
+return examples_nhwc_float16_3;
+};
+
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8_3() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8_3 = {
// Begin of an example
{
.operands = {
@@ -509,8 +737,11 @@
},
}, // End of an example
};
+return examples_nhwc_quant8_3;
+};
-std::vector<MixedTypedExample> examples_nchw_3 = {
+std::vector<MixedTypedExample>& get_examples_nchw_3() {
+static std::vector<MixedTypedExample> examples_nchw_3 = {
// Begin of an example
{
.operands = {
@@ -543,8 +774,11 @@
},
}, // End of an example
};
+return examples_nchw_3;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed_3 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed_3() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed_3 = {
// Begin of an example
{
.operands = {
@@ -577,8 +811,48 @@
},
}, // End of an example
};
+return examples_nchw_relaxed_3;
+};
-std::vector<MixedTypedExample> examples_nchw_quant8_3 = {
+std::vector<MixedTypedExample>& get_examples_nchw_float16_3() {
+static std::vector<MixedTypedExample> examples_nchw_float16_3 = {
+// Begin of an example
+{
+.operands = {
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 110.0f, 111.0f, 112.0f, 113.0f, 114.0f, 115.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f, 25.0f, 26.0f, 27.0f, 28.0f, 29.0f, 210.0f, 211.0f, 212.0f, 213.0f, 214.0f, 215.0f}}},
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+ // int -> FLOAT32 map
+ {},
+ // int -> INT32 map
+ {},
+ // int -> QUANT8_ASYMM map
+ {},
+ // int -> QUANT16_SYMM map
+ {},
+ // int -> FLOAT16 map
+ {{0, {10.0f, 12.0f, 18.0f, 110.0f, 20.0f, 22.0f, 28.0f, 210.0f, 11.0f, 13.0f, 19.0f, 111.0f, 21.0f, 23.0f, 29.0f, 211.0f, 14.0f, 16.0f, 112.0f, 114.0f, 24.0f, 26.0f, 212.0f, 214.0f, 15.0f, 17.0f, 113.0f, 115.0f, 25.0f, 27.0f, 213.0f, 215.0f}}},
+}
+},
+}, // End of an example
+};
+return examples_nchw_float16_3;
+};
+
+std::vector<MixedTypedExample>& get_examples_nchw_quant8_3() {
+static std::vector<MixedTypedExample> examples_nchw_quant8_3 = {
// Begin of an example
{
.operands = {
@@ -611,4 +885,6 @@
},
}, // End of an example
};
+return examples_nchw_quant8_3;
+};
diff --git a/nn/runtime/test/generated/examples/split_float_1.example.cpp b/nn/runtime/test/generated/examples/split_float_1.example.cpp
index 319f2e5..b80d01c 100644
--- a/nn/runtime/test/generated/examples/split_float_1.example.cpp
+++ b/nn/runtime/test/generated/examples/split_float_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: split_float_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples;
+};
-std::vector<MixedTypedExample> examples_relaxed = {
+std::vector<MixedTypedExample>& get_examples_relaxed() {
+static std::vector<MixedTypedExample> examples_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,11 @@
},
}, // End of an example
};
+return examples_relaxed;
+};
-std::vector<MixedTypedExample> examples_float16 = {
+std::vector<MixedTypedExample>& get_examples_float16() {
+static std::vector<MixedTypedExample> examples_float16 = {
// Begin of an example
{
.operands = {
@@ -80,7 +87,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}}},
@@ -93,7 +100,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, 2.0f}}, {1, {3.0f, 4.0f}}, {2, {5.0f, 6.0f}}},
@@ -101,4 +108,6 @@
},
}, // End of an example
};
+return examples_float16;
+};
diff --git a/nn/runtime/test/generated/examples/split_float_2.example.cpp b/nn/runtime/test/generated/examples/split_float_2.example.cpp
index b68ac06..6f18c85 100644
--- a/nn/runtime/test/generated/examples/split_float_2.example.cpp
+++ b/nn/runtime/test/generated/examples/split_float_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: split_float_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples;
+};
-std::vector<MixedTypedExample> examples_relaxed = {
+std::vector<MixedTypedExample>& get_examples_relaxed() {
+static std::vector<MixedTypedExample> examples_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,11 @@
},
}, // End of an example
};
+return examples_relaxed;
+};
-std::vector<MixedTypedExample> examples_float16 = {
+std::vector<MixedTypedExample>& get_examples_float16() {
+static std::vector<MixedTypedExample> examples_float16 = {
// Begin of an example
{
.operands = {
@@ -80,7 +87,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}}},
@@ -93,7 +100,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, 2.0f, 3.0f}}, {1, {4.0f, 5.0f, 6.0f}}},
@@ -101,4 +108,6 @@
},
}, // End of an example
};
+return examples_float16;
+};
diff --git a/nn/runtime/test/generated/examples/split_float_3.example.cpp b/nn/runtime/test/generated/examples/split_float_3.example.cpp
index 2ba380c..0544d91 100644
--- a/nn/runtime/test/generated/examples/split_float_3.example.cpp
+++ b/nn/runtime/test/generated/examples/split_float_3.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: split_float_3.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples;
+};
-std::vector<MixedTypedExample> examples_relaxed = {
+std::vector<MixedTypedExample>& get_examples_relaxed() {
+static std::vector<MixedTypedExample> examples_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,11 @@
},
}, // End of an example
};
+return examples_relaxed;
+};
-std::vector<MixedTypedExample> examples_float16 = {
+std::vector<MixedTypedExample>& get_examples_float16() {
+static std::vector<MixedTypedExample> examples_float16 = {
// Begin of an example
{
.operands = {
@@ -80,7 +87,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}}},
@@ -93,7 +100,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, 4.0f}}, {1, {2.0f, 5.0f}}, {2, {3.0f, 6.0f}}},
@@ -101,4 +108,6 @@
},
}, // End of an example
};
+return examples_float16;
+};
diff --git a/nn/runtime/test/generated/examples/split_float_4.example.cpp b/nn/runtime/test/generated/examples/split_float_4.example.cpp
index b4acfd3..e7bd2bc 100644
--- a/nn/runtime/test/generated/examples/split_float_4.example.cpp
+++ b/nn/runtime/test/generated/examples/split_float_4.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: split_float_4.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples;
+};
-std::vector<MixedTypedExample> examples_relaxed = {
+std::vector<MixedTypedExample>& get_examples_relaxed() {
+static std::vector<MixedTypedExample> examples_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,11 @@
},
}, // End of an example
};
+return examples_relaxed;
+};
-std::vector<MixedTypedExample> examples_float16 = {
+std::vector<MixedTypedExample>& get_examples_float16() {
+static std::vector<MixedTypedExample> examples_float16 = {
// Begin of an example
{
.operands = {
@@ -80,7 +87,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f}}},
@@ -93,7 +100,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, 2.0f, 5.0f, 6.0f}}, {1, {3.0f, 4.0f, 7.0f, 8.0f}}},
@@ -101,4 +108,6 @@
},
}, // End of an example
};
+return examples_float16;
+};
diff --git a/nn/runtime/test/generated/examples/split_float_5.example.cpp b/nn/runtime/test/generated/examples/split_float_5.example.cpp
index d3fd91b..abf46b5 100644
--- a/nn/runtime/test/generated/examples/split_float_5.example.cpp
+++ b/nn/runtime/test/generated/examples/split_float_5.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: split_float_5.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples;
+};
-std::vector<MixedTypedExample> examples_relaxed = {
+std::vector<MixedTypedExample>& get_examples_relaxed() {
+static std::vector<MixedTypedExample> examples_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,11 @@
},
}, // End of an example
};
+return examples_relaxed;
+};
-std::vector<MixedTypedExample> examples_float16 = {
+std::vector<MixedTypedExample>& get_examples_float16() {
+static std::vector<MixedTypedExample> examples_float16 = {
// Begin of an example
{
.operands = {
@@ -80,7 +87,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f}}},
@@ -93,7 +100,7 @@
{},
// int -> QUANT8_ASYMM map
{},
- // int -> QUANT16_ASYMM map
+ // int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
{{0, {1.0f, 2.0f, 5.0f, 6.0f}}, {1, {3.0f, 4.0f, 7.0f, 8.0f}}},
@@ -101,4 +108,6 @@
},
}, // End of an example
};
+return examples_float16;
+};
diff --git a/nn/runtime/test/generated/examples/split_int32_1.example.cpp b/nn/runtime/test/generated/examples/split_int32_1.example.cpp
index 67d8a58..9dc5f49 100644
--- a/nn/runtime/test/generated/examples/split_int32_1.example.cpp
+++ b/nn/runtime/test/generated/examples/split_int32_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: split_int32_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples;
+};
-std::vector<MixedTypedExample> examples_relaxed = {
+std::vector<MixedTypedExample>& get_examples_relaxed() {
+static std::vector<MixedTypedExample> examples_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,4 +71,6 @@
},
}, // End of an example
};
+return examples_relaxed;
+};
diff --git a/nn/runtime/test/generated/examples/split_int32_2.example.cpp b/nn/runtime/test/generated/examples/split_int32_2.example.cpp
index e6998e7..e824afe 100644
--- a/nn/runtime/test/generated/examples/split_int32_2.example.cpp
+++ b/nn/runtime/test/generated/examples/split_int32_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: split_int32_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples;
+};
-std::vector<MixedTypedExample> examples_relaxed = {
+std::vector<MixedTypedExample>& get_examples_relaxed() {
+static std::vector<MixedTypedExample> examples_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,4 +71,6 @@
},
}, // End of an example
};
+return examples_relaxed;
+};
diff --git a/nn/runtime/test/generated/examples/split_int32_3.example.cpp b/nn/runtime/test/generated/examples/split_int32_3.example.cpp
index ba5f88e..ee39678 100644
--- a/nn/runtime/test/generated/examples/split_int32_3.example.cpp
+++ b/nn/runtime/test/generated/examples/split_int32_3.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: split_int32_3.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples;
+};
-std::vector<MixedTypedExample> examples_relaxed = {
+std::vector<MixedTypedExample>& get_examples_relaxed() {
+static std::vector<MixedTypedExample> examples_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,4 +71,6 @@
},
}, // End of an example
};
+return examples_relaxed;
+};
diff --git a/nn/runtime/test/generated/examples/split_int32_4.example.cpp b/nn/runtime/test/generated/examples/split_int32_4.example.cpp
index 29a13df..10b2792 100644
--- a/nn/runtime/test/generated/examples/split_int32_4.example.cpp
+++ b/nn/runtime/test/generated/examples/split_int32_4.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: split_int32_4.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples;
+};
-std::vector<MixedTypedExample> examples_relaxed = {
+std::vector<MixedTypedExample>& get_examples_relaxed() {
+static std::vector<MixedTypedExample> examples_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,4 +71,6 @@
},
}, // End of an example
};
+return examples_relaxed;
+};
diff --git a/nn/runtime/test/generated/examples/split_quant8_1.example.cpp b/nn/runtime/test/generated/examples/split_quant8_1.example.cpp
index 1cf32e9..bfdd71f 100644
--- a/nn/runtime/test/generated/examples/split_quant8_1.example.cpp
+++ b/nn/runtime/test/generated/examples/split_quant8_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: split_quant8_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples;
+};
-std::vector<MixedTypedExample> examples_relaxed = {
+std::vector<MixedTypedExample>& get_examples_relaxed() {
+static std::vector<MixedTypedExample> examples_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,4 +71,6 @@
},
}, // End of an example
};
+return examples_relaxed;
+};
diff --git a/nn/runtime/test/generated/examples/split_quant8_2.example.cpp b/nn/runtime/test/generated/examples/split_quant8_2.example.cpp
index 4b5a2b3..5d2dc99 100644
--- a/nn/runtime/test/generated/examples/split_quant8_2.example.cpp
+++ b/nn/runtime/test/generated/examples/split_quant8_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: split_quant8_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples;
+};
-std::vector<MixedTypedExample> examples_relaxed = {
+std::vector<MixedTypedExample>& get_examples_relaxed() {
+static std::vector<MixedTypedExample> examples_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,4 +71,6 @@
},
}, // End of an example
};
+return examples_relaxed;
+};
diff --git a/nn/runtime/test/generated/examples/split_quant8_3.example.cpp b/nn/runtime/test/generated/examples/split_quant8_3.example.cpp
index 2477a1e..ec7a637 100644
--- a/nn/runtime/test/generated/examples/split_quant8_3.example.cpp
+++ b/nn/runtime/test/generated/examples/split_quant8_3.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: split_quant8_3.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/split_quant8_4.example.cpp b/nn/runtime/test/generated/examples/split_quant8_4.example.cpp
index f8d0e25..59bd8c8 100644
--- a/nn/runtime/test/generated/examples/split_quant8_4.example.cpp
+++ b/nn/runtime/test/generated/examples/split_quant8_4.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: split_quant8_4.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/squeeze.example.cpp b/nn/runtime/test/generated/examples/squeeze.example.cpp
index 94f5ca6..c32f879 100644
--- a/nn/runtime/test/generated/examples/squeeze.example.cpp
+++ b/nn/runtime/test/generated/examples/squeeze.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: squeeze.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/argmin_2_quant8.example.cpp b/nn/runtime/test/generated/examples/squeeze_float16.example.cpp
similarity index 64%
copy from nn/runtime/test/generated/examples/argmin_2_quant8.example.cpp
copy to nn/runtime/test/generated/examples/squeeze_float16.example.cpp
index ce68216..4d5bdbb 100644
--- a/nn/runtime/test/generated/examples/argmin_2_quant8.example.cpp
+++ b/nn/runtime/test/generated/examples/squeeze_float16.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
-// Generated file (from: argmin_2_quant8.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+// Generated file (from: squeeze_float16.mod.py). Do not edit
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -11,26 +12,28 @@
// int -> INT32 map
{},
// int -> QUANT8_ASYMM map
- {{0, {1, 2, 4, 3}}},
+ {},
// int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
- {},
+ {{0, {1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f}}},
},
//Output(s)
{ // See tools/test_generator/include/TestHarness.h:MixedTyped
// int -> FLOAT32 map
{},
// int -> INT32 map
- {{0, {0, 0}}},
+ {},
// int -> QUANT8_ASYMM map
{},
// int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
- {},
+ {{0, {1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f}}},
}
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/squeeze_float_1.example.cpp b/nn/runtime/test/generated/examples/squeeze_float_1.example.cpp
index 4c4cc42..e9eb84b 100644
--- a/nn/runtime/test/generated/examples/squeeze_float_1.example.cpp
+++ b/nn/runtime/test/generated/examples/squeeze_float_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: squeeze_float_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/squeeze_float_1_relaxed.example.cpp b/nn/runtime/test/generated/examples/squeeze_float_1_relaxed.example.cpp
index 46f08b6..f468901 100644
--- a/nn/runtime/test/generated/examples/squeeze_float_1_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/squeeze_float_1_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: squeeze_float_1_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/squeeze_quant8_1.example.cpp b/nn/runtime/test/generated/examples/squeeze_quant8_1.example.cpp
index ea41495..add5358 100644
--- a/nn/runtime/test/generated/examples/squeeze_quant8_1.example.cpp
+++ b/nn/runtime/test/generated/examples/squeeze_quant8_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: squeeze_quant8_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/squeeze_relaxed.example.cpp b/nn/runtime/test/generated/examples/squeeze_relaxed.example.cpp
index ee24a72..11c40b9 100644
--- a/nn/runtime/test/generated/examples/squeeze_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/squeeze_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: squeeze_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/strided_slice.example.cpp b/nn/runtime/test/generated/examples/strided_slice.example.cpp
index 33ecb02..b70d0ac 100644
--- a/nn/runtime/test/generated/examples/strided_slice.example.cpp
+++ b/nn/runtime/test/generated/examples/strided_slice.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: strided_slice.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/argmin_2_quant8.example.cpp b/nn/runtime/test/generated/examples/strided_slice_float16.example.cpp
similarity index 67%
copy from nn/runtime/test/generated/examples/argmin_2_quant8.example.cpp
copy to nn/runtime/test/generated/examples/strided_slice_float16.example.cpp
index ce68216..7890e28 100644
--- a/nn/runtime/test/generated/examples/argmin_2_quant8.example.cpp
+++ b/nn/runtime/test/generated/examples/strided_slice_float16.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
-// Generated file (from: argmin_2_quant8.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+// Generated file (from: strided_slice_float16.mod.py). Do not edit
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -11,26 +12,28 @@
// int -> INT32 map
{},
// int -> QUANT8_ASYMM map
- {{0, {1, 2, 4, 3}}},
+ {},
// int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
- {},
+ {{0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}}},
},
//Output(s)
{ // See tools/test_generator/include/TestHarness.h:MixedTyped
// int -> FLOAT32 map
{},
// int -> INT32 map
- {{0, {0, 0}}},
+ {},
// int -> QUANT8_ASYMM map
{},
// int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
- {},
+ {{0, {1.0f, 3.0f}}},
}
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/strided_slice_float_1.example.cpp b/nn/runtime/test/generated/examples/strided_slice_float_1.example.cpp
index d72d648..2777651 100644
--- a/nn/runtime/test/generated/examples/strided_slice_float_1.example.cpp
+++ b/nn/runtime/test/generated/examples/strided_slice_float_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: strided_slice_float_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/strided_slice_float_10.example.cpp b/nn/runtime/test/generated/examples/strided_slice_float_10.example.cpp
index 4b42baf..f194610 100644
--- a/nn/runtime/test/generated/examples/strided_slice_float_10.example.cpp
+++ b/nn/runtime/test/generated/examples/strided_slice_float_10.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: strided_slice_float_10.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/strided_slice_float_10_relaxed.example.cpp b/nn/runtime/test/generated/examples/strided_slice_float_10_relaxed.example.cpp
index d13c494..b09d193 100644
--- a/nn/runtime/test/generated/examples/strided_slice_float_10_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/strided_slice_float_10_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: strided_slice_float_10_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/strided_slice_float_11.example.cpp b/nn/runtime/test/generated/examples/strided_slice_float_11.example.cpp
index f4e367a..88ef755 100644
--- a/nn/runtime/test/generated/examples/strided_slice_float_11.example.cpp
+++ b/nn/runtime/test/generated/examples/strided_slice_float_11.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: strided_slice_float_11.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/strided_slice_float_11_relaxed.example.cpp b/nn/runtime/test/generated/examples/strided_slice_float_11_relaxed.example.cpp
index 209eb5f..90f9f34 100644
--- a/nn/runtime/test/generated/examples/strided_slice_float_11_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/strided_slice_float_11_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: strided_slice_float_11_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/strided_slice_float_1_relaxed.example.cpp b/nn/runtime/test/generated/examples/strided_slice_float_1_relaxed.example.cpp
index 86a180d..995199d 100644
--- a/nn/runtime/test/generated/examples/strided_slice_float_1_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/strided_slice_float_1_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: strided_slice_float_1_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/strided_slice_float_2.example.cpp b/nn/runtime/test/generated/examples/strided_slice_float_2.example.cpp
index 849a47a..69aec94 100644
--- a/nn/runtime/test/generated/examples/strided_slice_float_2.example.cpp
+++ b/nn/runtime/test/generated/examples/strided_slice_float_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: strided_slice_float_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/strided_slice_float_2_relaxed.example.cpp b/nn/runtime/test/generated/examples/strided_slice_float_2_relaxed.example.cpp
index e0b2a40..00bcb3b 100644
--- a/nn/runtime/test/generated/examples/strided_slice_float_2_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/strided_slice_float_2_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: strided_slice_float_2_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/strided_slice_float_3.example.cpp b/nn/runtime/test/generated/examples/strided_slice_float_3.example.cpp
index a31d564..00b5909 100644
--- a/nn/runtime/test/generated/examples/strided_slice_float_3.example.cpp
+++ b/nn/runtime/test/generated/examples/strided_slice_float_3.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: strided_slice_float_3.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/strided_slice_float_3_relaxed.example.cpp b/nn/runtime/test/generated/examples/strided_slice_float_3_relaxed.example.cpp
index 31b03d2..125c1a8 100644
--- a/nn/runtime/test/generated/examples/strided_slice_float_3_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/strided_slice_float_3_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: strided_slice_float_3_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/strided_slice_float_4.example.cpp b/nn/runtime/test/generated/examples/strided_slice_float_4.example.cpp
index c6f4d6d..26eb2e9 100644
--- a/nn/runtime/test/generated/examples/strided_slice_float_4.example.cpp
+++ b/nn/runtime/test/generated/examples/strided_slice_float_4.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: strided_slice_float_4.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/strided_slice_float_4_relaxed.example.cpp b/nn/runtime/test/generated/examples/strided_slice_float_4_relaxed.example.cpp
index 9c4598d..b63d71c 100644
--- a/nn/runtime/test/generated/examples/strided_slice_float_4_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/strided_slice_float_4_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: strided_slice_float_4_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/strided_slice_float_5.example.cpp b/nn/runtime/test/generated/examples/strided_slice_float_5.example.cpp
index be2d5c2..a1303ed 100644
--- a/nn/runtime/test/generated/examples/strided_slice_float_5.example.cpp
+++ b/nn/runtime/test/generated/examples/strided_slice_float_5.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: strided_slice_float_5.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/strided_slice_float_5_relaxed.example.cpp b/nn/runtime/test/generated/examples/strided_slice_float_5_relaxed.example.cpp
index 6a0abe2..80a3cf5 100644
--- a/nn/runtime/test/generated/examples/strided_slice_float_5_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/strided_slice_float_5_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: strided_slice_float_5_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/strided_slice_float_6.example.cpp b/nn/runtime/test/generated/examples/strided_slice_float_6.example.cpp
index a119a79..92f2b93 100644
--- a/nn/runtime/test/generated/examples/strided_slice_float_6.example.cpp
+++ b/nn/runtime/test/generated/examples/strided_slice_float_6.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: strided_slice_float_6.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/strided_slice_float_6_relaxed.example.cpp b/nn/runtime/test/generated/examples/strided_slice_float_6_relaxed.example.cpp
index 49f107f..14132ed 100644
--- a/nn/runtime/test/generated/examples/strided_slice_float_6_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/strided_slice_float_6_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: strided_slice_float_6_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/strided_slice_float_7.example.cpp b/nn/runtime/test/generated/examples/strided_slice_float_7.example.cpp
index a2b6586..4975cbb 100644
--- a/nn/runtime/test/generated/examples/strided_slice_float_7.example.cpp
+++ b/nn/runtime/test/generated/examples/strided_slice_float_7.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: strided_slice_float_7.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/strided_slice_float_7_relaxed.example.cpp b/nn/runtime/test/generated/examples/strided_slice_float_7_relaxed.example.cpp
index ea8e99c..829b5a4 100644
--- a/nn/runtime/test/generated/examples/strided_slice_float_7_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/strided_slice_float_7_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: strided_slice_float_7_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/strided_slice_float_8.example.cpp b/nn/runtime/test/generated/examples/strided_slice_float_8.example.cpp
index 4d91d78..b8b3b22 100644
--- a/nn/runtime/test/generated/examples/strided_slice_float_8.example.cpp
+++ b/nn/runtime/test/generated/examples/strided_slice_float_8.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: strided_slice_float_8.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/strided_slice_float_8_relaxed.example.cpp b/nn/runtime/test/generated/examples/strided_slice_float_8_relaxed.example.cpp
index 7e3981d..10168a0 100644
--- a/nn/runtime/test/generated/examples/strided_slice_float_8_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/strided_slice_float_8_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: strided_slice_float_8_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/strided_slice_float_9.example.cpp b/nn/runtime/test/generated/examples/strided_slice_float_9.example.cpp
index 5e8974f..9e68f61 100644
--- a/nn/runtime/test/generated/examples/strided_slice_float_9.example.cpp
+++ b/nn/runtime/test/generated/examples/strided_slice_float_9.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: strided_slice_float_9.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/strided_slice_float_9_relaxed.example.cpp b/nn/runtime/test/generated/examples/strided_slice_float_9_relaxed.example.cpp
index 205f122..668e0ab 100644
--- a/nn/runtime/test/generated/examples/strided_slice_float_9_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/strided_slice_float_9_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: strided_slice_float_9_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/strided_slice_qaunt8_10.example.cpp b/nn/runtime/test/generated/examples/strided_slice_qaunt8_10.example.cpp
index 25cce8c..aed6d18 100644
--- a/nn/runtime/test/generated/examples/strided_slice_qaunt8_10.example.cpp
+++ b/nn/runtime/test/generated/examples/strided_slice_qaunt8_10.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: strided_slice_qaunt8_10.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/strided_slice_qaunt8_11.example.cpp b/nn/runtime/test/generated/examples/strided_slice_qaunt8_11.example.cpp
index 894ed1e..b76a4bb 100644
--- a/nn/runtime/test/generated/examples/strided_slice_qaunt8_11.example.cpp
+++ b/nn/runtime/test/generated/examples/strided_slice_qaunt8_11.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: strided_slice_qaunt8_11.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/strided_slice_quant8_1.example.cpp b/nn/runtime/test/generated/examples/strided_slice_quant8_1.example.cpp
index a0d0110..1245861 100644
--- a/nn/runtime/test/generated/examples/strided_slice_quant8_1.example.cpp
+++ b/nn/runtime/test/generated/examples/strided_slice_quant8_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: strided_slice_quant8_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/strided_slice_quant8_2.example.cpp b/nn/runtime/test/generated/examples/strided_slice_quant8_2.example.cpp
index a713a0f..08a0f77 100644
--- a/nn/runtime/test/generated/examples/strided_slice_quant8_2.example.cpp
+++ b/nn/runtime/test/generated/examples/strided_slice_quant8_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: strided_slice_quant8_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/strided_slice_quant8_3.example.cpp b/nn/runtime/test/generated/examples/strided_slice_quant8_3.example.cpp
index 3a2d22d..a1a4493 100644
--- a/nn/runtime/test/generated/examples/strided_slice_quant8_3.example.cpp
+++ b/nn/runtime/test/generated/examples/strided_slice_quant8_3.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: strided_slice_quant8_3.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/strided_slice_quant8_4.example.cpp b/nn/runtime/test/generated/examples/strided_slice_quant8_4.example.cpp
index e2f4a70..af616e7 100644
--- a/nn/runtime/test/generated/examples/strided_slice_quant8_4.example.cpp
+++ b/nn/runtime/test/generated/examples/strided_slice_quant8_4.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: strided_slice_quant8_4.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/strided_slice_quant8_5.example.cpp b/nn/runtime/test/generated/examples/strided_slice_quant8_5.example.cpp
index 12f313f..3a5fee7 100644
--- a/nn/runtime/test/generated/examples/strided_slice_quant8_5.example.cpp
+++ b/nn/runtime/test/generated/examples/strided_slice_quant8_5.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: strided_slice_quant8_5.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/strided_slice_quant8_6.example.cpp b/nn/runtime/test/generated/examples/strided_slice_quant8_6.example.cpp
index 5e07a57..742e389 100644
--- a/nn/runtime/test/generated/examples/strided_slice_quant8_6.example.cpp
+++ b/nn/runtime/test/generated/examples/strided_slice_quant8_6.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: strided_slice_quant8_6.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/strided_slice_quant8_7.example.cpp b/nn/runtime/test/generated/examples/strided_slice_quant8_7.example.cpp
index df2870f..df16621 100644
--- a/nn/runtime/test/generated/examples/strided_slice_quant8_7.example.cpp
+++ b/nn/runtime/test/generated/examples/strided_slice_quant8_7.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: strided_slice_quant8_7.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/strided_slice_quant8_8.example.cpp b/nn/runtime/test/generated/examples/strided_slice_quant8_8.example.cpp
index 0a5654a..11f053c 100644
--- a/nn/runtime/test/generated/examples/strided_slice_quant8_8.example.cpp
+++ b/nn/runtime/test/generated/examples/strided_slice_quant8_8.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: strided_slice_quant8_8.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/strided_slice_quant8_9.example.cpp b/nn/runtime/test/generated/examples/strided_slice_quant8_9.example.cpp
index ba33b70..feb863e 100644
--- a/nn/runtime/test/generated/examples/strided_slice_quant8_9.example.cpp
+++ b/nn/runtime/test/generated/examples/strided_slice_quant8_9.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: strided_slice_quant8_9.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/strided_slice_relaxed.example.cpp b/nn/runtime/test/generated/examples/strided_slice_relaxed.example.cpp
index adcc0ff..008b297 100644
--- a/nn/runtime/test/generated/examples/strided_slice_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/strided_slice_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: strided_slice_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/sub.example.cpp b/nn/runtime/test/generated/examples/sub.example.cpp
index 7d8c0cb..ff3d100 100644
--- a/nn/runtime/test/generated/examples/sub.example.cpp
+++ b/nn/runtime/test/generated/examples/sub.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: sub.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/sub_broadcast_float.example.cpp b/nn/runtime/test/generated/examples/sub_broadcast_float.example.cpp
index b1862bf..bbc3d19 100644
--- a/nn/runtime/test/generated/examples/sub_broadcast_float.example.cpp
+++ b/nn/runtime/test/generated/examples/sub_broadcast_float.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: sub_broadcast_float.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/sub_broadcast_float_relaxed.example.cpp b/nn/runtime/test/generated/examples/sub_broadcast_float_relaxed.example.cpp
index 46c3736..f3b521e 100644
--- a/nn/runtime/test/generated/examples/sub_broadcast_float_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/sub_broadcast_float_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: sub_broadcast_float_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/sub_float16.example.cpp b/nn/runtime/test/generated/examples/sub_float16.example.cpp
index e1fab04..8b258dc 100644
--- a/nn/runtime/test/generated/examples/sub_float16.example.cpp
+++ b/nn/runtime/test/generated/examples/sub_float16.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: sub_float16.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/sub_float16_broadcast.example.cpp b/nn/runtime/test/generated/examples/sub_float16_broadcast.example.cpp
index 7e71fba..01708f7 100644
--- a/nn/runtime/test/generated/examples/sub_float16_broadcast.example.cpp
+++ b/nn/runtime/test/generated/examples/sub_float16_broadcast.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: sub_float16_broadcast.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/sub_quantized.example.cpp b/nn/runtime/test/generated/examples/sub_quantized.example.cpp
index 4b1bdf7..766776a 100644
--- a/nn/runtime/test/generated/examples/sub_quantized.example.cpp
+++ b/nn/runtime/test/generated/examples/sub_quantized.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: sub_quantized.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/sub_quantized_broadcast.example.cpp b/nn/runtime/test/generated/examples/sub_quantized_broadcast.example.cpp
index b1e402e..9e47a11 100644
--- a/nn/runtime/test/generated/examples/sub_quantized_broadcast.example.cpp
+++ b/nn/runtime/test/generated/examples/sub_quantized_broadcast.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: sub_quantized_broadcast.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/sub_quantized_different_scales.example.cpp b/nn/runtime/test/generated/examples/sub_quantized_different_scales.example.cpp
index a8145ee..466d229 100644
--- a/nn/runtime/test/generated/examples/sub_quantized_different_scales.example.cpp
+++ b/nn/runtime/test/generated/examples/sub_quantized_different_scales.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: sub_quantized_different_scales.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples;
+};
-std::vector<MixedTypedExample> examples_2 = {
+std::vector<MixedTypedExample>& get_examples_2() {
+static std::vector<MixedTypedExample> examples_2 = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,11 @@
},
}, // End of an example
};
+return examples_2;
+};
-std::vector<MixedTypedExample> examples_3 = {
+std::vector<MixedTypedExample>& get_examples_3() {
+static std::vector<MixedTypedExample> examples_3 = {
// Begin of an example
{
.operands = {
@@ -101,8 +108,11 @@
},
}, // End of an example
};
+return examples_3;
+};
-std::vector<MixedTypedExample> examples_4 = {
+std::vector<MixedTypedExample>& get_examples_4() {
+static std::vector<MixedTypedExample> examples_4 = {
// Begin of an example
{
.operands = {
@@ -135,8 +145,11 @@
},
}, // End of an example
};
+return examples_4;
+};
-std::vector<MixedTypedExample> examples_5 = {
+std::vector<MixedTypedExample>& get_examples_5() {
+static std::vector<MixedTypedExample> examples_5 = {
// Begin of an example
{
.operands = {
@@ -169,8 +182,11 @@
},
}, // End of an example
};
+return examples_5;
+};
-std::vector<MixedTypedExample> examples_6 = {
+std::vector<MixedTypedExample>& get_examples_6() {
+static std::vector<MixedTypedExample> examples_6 = {
// Begin of an example
{
.operands = {
@@ -203,8 +219,11 @@
},
}, // End of an example
};
+return examples_6;
+};
-std::vector<MixedTypedExample> examples_7 = {
+std::vector<MixedTypedExample>& get_examples_7() {
+static std::vector<MixedTypedExample> examples_7 = {
// Begin of an example
{
.operands = {
@@ -237,8 +256,11 @@
},
}, // End of an example
};
+return examples_7;
+};
-std::vector<MixedTypedExample> examples_8 = {
+std::vector<MixedTypedExample>& get_examples_8() {
+static std::vector<MixedTypedExample> examples_8 = {
// Begin of an example
{
.operands = {
@@ -271,8 +293,11 @@
},
}, // End of an example
};
+return examples_8;
+};
-std::vector<MixedTypedExample> examples_9 = {
+std::vector<MixedTypedExample>& get_examples_9() {
+static std::vector<MixedTypedExample> examples_9 = {
// Begin of an example
{
.operands = {
@@ -305,8 +330,11 @@
},
}, // End of an example
};
+return examples_9;
+};
-std::vector<MixedTypedExample> examples_10 = {
+std::vector<MixedTypedExample>& get_examples_10() {
+static std::vector<MixedTypedExample> examples_10 = {
// Begin of an example
{
.operands = {
@@ -339,8 +367,11 @@
},
}, // End of an example
};
+return examples_10;
+};
-std::vector<MixedTypedExample> examples_11 = {
+std::vector<MixedTypedExample>& get_examples_11() {
+static std::vector<MixedTypedExample> examples_11 = {
// Begin of an example
{
.operands = {
@@ -373,8 +404,11 @@
},
}, // End of an example
};
+return examples_11;
+};
-std::vector<MixedTypedExample> examples_12 = {
+std::vector<MixedTypedExample>& get_examples_12() {
+static std::vector<MixedTypedExample> examples_12 = {
// Begin of an example
{
.operands = {
@@ -407,8 +441,11 @@
},
}, // End of an example
};
+return examples_12;
+};
-std::vector<MixedTypedExample> examples_13 = {
+std::vector<MixedTypedExample>& get_examples_13() {
+static std::vector<MixedTypedExample> examples_13 = {
// Begin of an example
{
.operands = {
@@ -441,8 +478,11 @@
},
}, // End of an example
};
+return examples_13;
+};
-std::vector<MixedTypedExample> examples_14 = {
+std::vector<MixedTypedExample>& get_examples_14() {
+static std::vector<MixedTypedExample> examples_14 = {
// Begin of an example
{
.operands = {
@@ -475,8 +515,11 @@
},
}, // End of an example
};
+return examples_14;
+};
-std::vector<MixedTypedExample> examples_15 = {
+std::vector<MixedTypedExample>& get_examples_15() {
+static std::vector<MixedTypedExample> examples_15 = {
// Begin of an example
{
.operands = {
@@ -509,8 +552,11 @@
},
}, // End of an example
};
+return examples_15;
+};
-std::vector<MixedTypedExample> examples_16 = {
+std::vector<MixedTypedExample>& get_examples_16() {
+static std::vector<MixedTypedExample> examples_16 = {
// Begin of an example
{
.operands = {
@@ -543,8 +589,11 @@
},
}, // End of an example
};
+return examples_16;
+};
-std::vector<MixedTypedExample> examples_17 = {
+std::vector<MixedTypedExample>& get_examples_17() {
+static std::vector<MixedTypedExample> examples_17 = {
// Begin of an example
{
.operands = {
@@ -577,8 +626,11 @@
},
}, // End of an example
};
+return examples_17;
+};
-std::vector<MixedTypedExample> examples_18 = {
+std::vector<MixedTypedExample>& get_examples_18() {
+static std::vector<MixedTypedExample> examples_18 = {
// Begin of an example
{
.operands = {
@@ -611,8 +663,11 @@
},
}, // End of an example
};
+return examples_18;
+};
-std::vector<MixedTypedExample> examples_19 = {
+std::vector<MixedTypedExample>& get_examples_19() {
+static std::vector<MixedTypedExample> examples_19 = {
// Begin of an example
{
.operands = {
@@ -645,8 +700,11 @@
},
}, // End of an example
};
+return examples_19;
+};
-std::vector<MixedTypedExample> examples_20 = {
+std::vector<MixedTypedExample>& get_examples_20() {
+static std::vector<MixedTypedExample> examples_20 = {
// Begin of an example
{
.operands = {
@@ -679,8 +737,11 @@
},
}, // End of an example
};
+return examples_20;
+};
-std::vector<MixedTypedExample> examples_21 = {
+std::vector<MixedTypedExample>& get_examples_21() {
+static std::vector<MixedTypedExample> examples_21 = {
// Begin of an example
{
.operands = {
@@ -713,8 +774,11 @@
},
}, // End of an example
};
+return examples_21;
+};
-std::vector<MixedTypedExample> examples_22 = {
+std::vector<MixedTypedExample>& get_examples_22() {
+static std::vector<MixedTypedExample> examples_22 = {
// Begin of an example
{
.operands = {
@@ -747,8 +811,11 @@
},
}, // End of an example
};
+return examples_22;
+};
-std::vector<MixedTypedExample> examples_23 = {
+std::vector<MixedTypedExample>& get_examples_23() {
+static std::vector<MixedTypedExample> examples_23 = {
// Begin of an example
{
.operands = {
@@ -781,8 +848,11 @@
},
}, // End of an example
};
+return examples_23;
+};
-std::vector<MixedTypedExample> examples_24 = {
+std::vector<MixedTypedExample>& get_examples_24() {
+static std::vector<MixedTypedExample> examples_24 = {
// Begin of an example
{
.operands = {
@@ -815,8 +885,11 @@
},
}, // End of an example
};
+return examples_24;
+};
-std::vector<MixedTypedExample> examples_25 = {
+std::vector<MixedTypedExample>& get_examples_25() {
+static std::vector<MixedTypedExample> examples_25 = {
// Begin of an example
{
.operands = {
@@ -849,8 +922,11 @@
},
}, // End of an example
};
+return examples_25;
+};
-std::vector<MixedTypedExample> examples_26 = {
+std::vector<MixedTypedExample>& get_examples_26() {
+static std::vector<MixedTypedExample> examples_26 = {
// Begin of an example
{
.operands = {
@@ -883,8 +959,11 @@
},
}, // End of an example
};
+return examples_26;
+};
-std::vector<MixedTypedExample> examples_27 = {
+std::vector<MixedTypedExample>& get_examples_27() {
+static std::vector<MixedTypedExample> examples_27 = {
// Begin of an example
{
.operands = {
@@ -917,8 +996,11 @@
},
}, // End of an example
};
+return examples_27;
+};
-std::vector<MixedTypedExample> examples_28 = {
+std::vector<MixedTypedExample>& get_examples_28() {
+static std::vector<MixedTypedExample> examples_28 = {
// Begin of an example
{
.operands = {
@@ -951,8 +1033,11 @@
},
}, // End of an example
};
+return examples_28;
+};
-std::vector<MixedTypedExample> examples_29 = {
+std::vector<MixedTypedExample>& get_examples_29() {
+static std::vector<MixedTypedExample> examples_29 = {
// Begin of an example
{
.operands = {
@@ -985,8 +1070,11 @@
},
}, // End of an example
};
+return examples_29;
+};
-std::vector<MixedTypedExample> examples_30 = {
+std::vector<MixedTypedExample>& get_examples_30() {
+static std::vector<MixedTypedExample> examples_30 = {
// Begin of an example
{
.operands = {
@@ -1019,8 +1107,11 @@
},
}, // End of an example
};
+return examples_30;
+};
-std::vector<MixedTypedExample> examples_31 = {
+std::vector<MixedTypedExample>& get_examples_31() {
+static std::vector<MixedTypedExample> examples_31 = {
// Begin of an example
{
.operands = {
@@ -1053,8 +1144,11 @@
},
}, // End of an example
};
+return examples_31;
+};
-std::vector<MixedTypedExample> examples_32 = {
+std::vector<MixedTypedExample>& get_examples_32() {
+static std::vector<MixedTypedExample> examples_32 = {
// Begin of an example
{
.operands = {
@@ -1087,8 +1181,11 @@
},
}, // End of an example
};
+return examples_32;
+};
-std::vector<MixedTypedExample> examples_33 = {
+std::vector<MixedTypedExample>& get_examples_33() {
+static std::vector<MixedTypedExample> examples_33 = {
// Begin of an example
{
.operands = {
@@ -1121,8 +1218,11 @@
},
}, // End of an example
};
+return examples_33;
+};
-std::vector<MixedTypedExample> examples_34 = {
+std::vector<MixedTypedExample>& get_examples_34() {
+static std::vector<MixedTypedExample> examples_34 = {
// Begin of an example
{
.operands = {
@@ -1155,8 +1255,11 @@
},
}, // End of an example
};
+return examples_34;
+};
-std::vector<MixedTypedExample> examples_35 = {
+std::vector<MixedTypedExample>& get_examples_35() {
+static std::vector<MixedTypedExample> examples_35 = {
// Begin of an example
{
.operands = {
@@ -1189,8 +1292,11 @@
},
}, // End of an example
};
+return examples_35;
+};
-std::vector<MixedTypedExample> examples_36 = {
+std::vector<MixedTypedExample>& get_examples_36() {
+static std::vector<MixedTypedExample> examples_36 = {
// Begin of an example
{
.operands = {
@@ -1223,8 +1329,11 @@
},
}, // End of an example
};
+return examples_36;
+};
-std::vector<MixedTypedExample> examples_37 = {
+std::vector<MixedTypedExample>& get_examples_37() {
+static std::vector<MixedTypedExample> examples_37 = {
// Begin of an example
{
.operands = {
@@ -1257,8 +1366,11 @@
},
}, // End of an example
};
+return examples_37;
+};
-std::vector<MixedTypedExample> examples_38 = {
+std::vector<MixedTypedExample>& get_examples_38() {
+static std::vector<MixedTypedExample> examples_38 = {
// Begin of an example
{
.operands = {
@@ -1291,8 +1403,11 @@
},
}, // End of an example
};
+return examples_38;
+};
-std::vector<MixedTypedExample> examples_39 = {
+std::vector<MixedTypedExample>& get_examples_39() {
+static std::vector<MixedTypedExample> examples_39 = {
// Begin of an example
{
.operands = {
@@ -1325,8 +1440,11 @@
},
}, // End of an example
};
+return examples_39;
+};
-std::vector<MixedTypedExample> examples_40 = {
+std::vector<MixedTypedExample>& get_examples_40() {
+static std::vector<MixedTypedExample> examples_40 = {
// Begin of an example
{
.operands = {
@@ -1359,8 +1477,11 @@
},
}, // End of an example
};
+return examples_40;
+};
-std::vector<MixedTypedExample> examples_41 = {
+std::vector<MixedTypedExample>& get_examples_41() {
+static std::vector<MixedTypedExample> examples_41 = {
// Begin of an example
{
.operands = {
@@ -1393,8 +1514,11 @@
},
}, // End of an example
};
+return examples_41;
+};
-std::vector<MixedTypedExample> examples_42 = {
+std::vector<MixedTypedExample>& get_examples_42() {
+static std::vector<MixedTypedExample> examples_42 = {
// Begin of an example
{
.operands = {
@@ -1427,8 +1551,11 @@
},
}, // End of an example
};
+return examples_42;
+};
-std::vector<MixedTypedExample> examples_43 = {
+std::vector<MixedTypedExample>& get_examples_43() {
+static std::vector<MixedTypedExample> examples_43 = {
// Begin of an example
{
.operands = {
@@ -1461,8 +1588,11 @@
},
}, // End of an example
};
+return examples_43;
+};
-std::vector<MixedTypedExample> examples_44 = {
+std::vector<MixedTypedExample>& get_examples_44() {
+static std::vector<MixedTypedExample> examples_44 = {
// Begin of an example
{
.operands = {
@@ -1495,8 +1625,11 @@
},
}, // End of an example
};
+return examples_44;
+};
-std::vector<MixedTypedExample> examples_45 = {
+std::vector<MixedTypedExample>& get_examples_45() {
+static std::vector<MixedTypedExample> examples_45 = {
// Begin of an example
{
.operands = {
@@ -1529,8 +1662,11 @@
},
}, // End of an example
};
+return examples_45;
+};
-std::vector<MixedTypedExample> examples_46 = {
+std::vector<MixedTypedExample>& get_examples_46() {
+static std::vector<MixedTypedExample> examples_46 = {
// Begin of an example
{
.operands = {
@@ -1563,8 +1699,11 @@
},
}, // End of an example
};
+return examples_46;
+};
-std::vector<MixedTypedExample> examples_47 = {
+std::vector<MixedTypedExample>& get_examples_47() {
+static std::vector<MixedTypedExample> examples_47 = {
// Begin of an example
{
.operands = {
@@ -1597,8 +1736,11 @@
},
}, // End of an example
};
+return examples_47;
+};
-std::vector<MixedTypedExample> examples_48 = {
+std::vector<MixedTypedExample>& get_examples_48() {
+static std::vector<MixedTypedExample> examples_48 = {
// Begin of an example
{
.operands = {
@@ -1631,8 +1773,11 @@
},
}, // End of an example
};
+return examples_48;
+};
-std::vector<MixedTypedExample> examples_49 = {
+std::vector<MixedTypedExample>& get_examples_49() {
+static std::vector<MixedTypedExample> examples_49 = {
// Begin of an example
{
.operands = {
@@ -1665,8 +1810,11 @@
},
}, // End of an example
};
+return examples_49;
+};
-std::vector<MixedTypedExample> examples_50 = {
+std::vector<MixedTypedExample>& get_examples_50() {
+static std::vector<MixedTypedExample> examples_50 = {
// Begin of an example
{
.operands = {
@@ -1699,8 +1847,11 @@
},
}, // End of an example
};
+return examples_50;
+};
-std::vector<MixedTypedExample> examples_51 = {
+std::vector<MixedTypedExample>& get_examples_51() {
+static std::vector<MixedTypedExample> examples_51 = {
// Begin of an example
{
.operands = {
@@ -1733,8 +1884,11 @@
},
}, // End of an example
};
+return examples_51;
+};
-std::vector<MixedTypedExample> examples_52 = {
+std::vector<MixedTypedExample>& get_examples_52() {
+static std::vector<MixedTypedExample> examples_52 = {
// Begin of an example
{
.operands = {
@@ -1767,8 +1921,11 @@
},
}, // End of an example
};
+return examples_52;
+};
-std::vector<MixedTypedExample> examples_53 = {
+std::vector<MixedTypedExample>& get_examples_53() {
+static std::vector<MixedTypedExample> examples_53 = {
// Begin of an example
{
.operands = {
@@ -1801,8 +1958,11 @@
},
}, // End of an example
};
+return examples_53;
+};
-std::vector<MixedTypedExample> examples_54 = {
+std::vector<MixedTypedExample>& get_examples_54() {
+static std::vector<MixedTypedExample> examples_54 = {
// Begin of an example
{
.operands = {
@@ -1835,8 +1995,11 @@
},
}, // End of an example
};
+return examples_54;
+};
-std::vector<MixedTypedExample> examples_55 = {
+std::vector<MixedTypedExample>& get_examples_55() {
+static std::vector<MixedTypedExample> examples_55 = {
// Begin of an example
{
.operands = {
@@ -1869,8 +2032,11 @@
},
}, // End of an example
};
+return examples_55;
+};
-std::vector<MixedTypedExample> examples_56 = {
+std::vector<MixedTypedExample>& get_examples_56() {
+static std::vector<MixedTypedExample> examples_56 = {
// Begin of an example
{
.operands = {
@@ -1903,8 +2069,11 @@
},
}, // End of an example
};
+return examples_56;
+};
-std::vector<MixedTypedExample> examples_57 = {
+std::vector<MixedTypedExample>& get_examples_57() {
+static std::vector<MixedTypedExample> examples_57 = {
// Begin of an example
{
.operands = {
@@ -1937,8 +2106,11 @@
},
}, // End of an example
};
+return examples_57;
+};
-std::vector<MixedTypedExample> examples_58 = {
+std::vector<MixedTypedExample>& get_examples_58() {
+static std::vector<MixedTypedExample> examples_58 = {
// Begin of an example
{
.operands = {
@@ -1971,8 +2143,11 @@
},
}, // End of an example
};
+return examples_58;
+};
-std::vector<MixedTypedExample> examples_59 = {
+std::vector<MixedTypedExample>& get_examples_59() {
+static std::vector<MixedTypedExample> examples_59 = {
// Begin of an example
{
.operands = {
@@ -2005,8 +2180,11 @@
},
}, // End of an example
};
+return examples_59;
+};
-std::vector<MixedTypedExample> examples_60 = {
+std::vector<MixedTypedExample>& get_examples_60() {
+static std::vector<MixedTypedExample> examples_60 = {
// Begin of an example
{
.operands = {
@@ -2039,8 +2217,11 @@
},
}, // End of an example
};
+return examples_60;
+};
-std::vector<MixedTypedExample> examples_61 = {
+std::vector<MixedTypedExample>& get_examples_61() {
+static std::vector<MixedTypedExample> examples_61 = {
// Begin of an example
{
.operands = {
@@ -2073,8 +2254,11 @@
},
}, // End of an example
};
+return examples_61;
+};
-std::vector<MixedTypedExample> examples_62 = {
+std::vector<MixedTypedExample>& get_examples_62() {
+static std::vector<MixedTypedExample> examples_62 = {
// Begin of an example
{
.operands = {
@@ -2107,8 +2291,11 @@
},
}, // End of an example
};
+return examples_62;
+};
-std::vector<MixedTypedExample> examples_63 = {
+std::vector<MixedTypedExample>& get_examples_63() {
+static std::vector<MixedTypedExample> examples_63 = {
// Begin of an example
{
.operands = {
@@ -2141,8 +2328,11 @@
},
}, // End of an example
};
+return examples_63;
+};
-std::vector<MixedTypedExample> examples_64 = {
+std::vector<MixedTypedExample>& get_examples_64() {
+static std::vector<MixedTypedExample> examples_64 = {
// Begin of an example
{
.operands = {
@@ -2175,4 +2365,6 @@
},
}, // End of an example
};
+return examples_64;
+};
diff --git a/nn/runtime/test/generated/examples/sub_relaxed.example.cpp b/nn/runtime/test/generated/examples/sub_relaxed.example.cpp
index f031bb7..08d0cac 100644
--- a/nn/runtime/test/generated/examples/sub_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/sub_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: sub_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/svdf.example.cpp b/nn/runtime/test/generated/examples/svdf.example.cpp
index 4e51028..6b77ff3 100644
--- a/nn/runtime/test/generated/examples/svdf.example.cpp
+++ b/nn/runtime/test/generated/examples/svdf.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: svdf.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/svdf2.example.cpp b/nn/runtime/test/generated/examples/svdf2.example.cpp
index 1673e04..fbf95fa 100644
--- a/nn/runtime/test/generated/examples/svdf2.example.cpp
+++ b/nn/runtime/test/generated/examples/svdf2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: svdf2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/svdf2_relaxed.example.cpp b/nn/runtime/test/generated/examples/svdf2_relaxed.example.cpp
index 0afbe5c..822f706 100644
--- a/nn/runtime/test/generated/examples/svdf2_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/svdf2_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: svdf2_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/svdf_relaxed.example.cpp b/nn/runtime/test/generated/examples/svdf_relaxed.example.cpp
index 0b4d14b..437738c 100644
--- a/nn/runtime/test/generated/examples/svdf_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/svdf_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: svdf_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/svdf_state.example.cpp b/nn/runtime/test/generated/examples/svdf_state.example.cpp
index 7843f05..b0775b8 100644
--- a/nn/runtime/test/generated/examples/svdf_state.example.cpp
+++ b/nn/runtime/test/generated/examples/svdf_state.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: svdf_state.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/svdf_state_relaxed.example.cpp b/nn/runtime/test/generated/examples/svdf_state_relaxed.example.cpp
index 15559b0..8c1cd0d 100644
--- a/nn/runtime/test/generated/examples/svdf_state_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/svdf_state_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: svdf_state_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/tanh.example.cpp b/nn/runtime/test/generated/examples/tanh.example.cpp
index 28f8610..40c8cf3 100644
--- a/nn/runtime/test/generated/examples/tanh.example.cpp
+++ b/nn/runtime/test/generated/examples/tanh.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: tanh.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/tanh_float16.example.cpp b/nn/runtime/test/generated/examples/tanh_float16.example.cpp
index 81baeff..484f889 100644
--- a/nn/runtime/test/generated/examples/tanh_float16.example.cpp
+++ b/nn/runtime/test/generated/examples/tanh_float16.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: tanh_float16.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/tanh_quantized.example.cpp b/nn/runtime/test/generated/examples/tanh_quantized.example.cpp
index 690beb3..cf5675b 100644
--- a/nn/runtime/test/generated/examples/tanh_quantized.example.cpp
+++ b/nn/runtime/test/generated/examples/tanh_quantized.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: tanh_quantized.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/tanh_relaxed.example.cpp b/nn/runtime/test/generated/examples/tanh_relaxed.example.cpp
index ab240b5..4ade0e6 100644
--- a/nn/runtime/test/generated/examples/tanh_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/tanh_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: tanh_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/tile_1.example.cpp b/nn/runtime/test/generated/examples/tile_1.example.cpp
index 66a5341..97f848b 100644
--- a/nn/runtime/test/generated/examples/tile_1.example.cpp
+++ b/nn/runtime/test/generated/examples/tile_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: tile_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples;
+};
-std::vector<MixedTypedExample> examples_relaxed = {
+std::vector<MixedTypedExample>& get_examples_relaxed() {
+static std::vector<MixedTypedExample> examples_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,11 @@
},
}, // End of an example
};
+return examples_relaxed;
+};
-std::vector<MixedTypedExample> examples_float16 = {
+std::vector<MixedTypedExample>& get_examples_float16() {
+static std::vector<MixedTypedExample> examples_float16 = {
// Begin of an example
{
.operands = {
@@ -101,8 +108,11 @@
},
}, // End of an example
};
+return examples_float16;
+};
-std::vector<MixedTypedExample> examples_quant8 = {
+std::vector<MixedTypedExample>& get_examples_quant8() {
+static std::vector<MixedTypedExample> examples_quant8 = {
// Begin of an example
{
.operands = {
@@ -135,4 +145,6 @@
},
}, // End of an example
};
+return examples_quant8;
+};
diff --git a/nn/runtime/test/generated/examples/tile_2.example.cpp b/nn/runtime/test/generated/examples/tile_2.example.cpp
index a5b3ab9..d1df523 100644
--- a/nn/runtime/test/generated/examples/tile_2.example.cpp
+++ b/nn/runtime/test/generated/examples/tile_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: tile_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples;
+};
-std::vector<MixedTypedExample> examples_relaxed = {
+std::vector<MixedTypedExample>& get_examples_relaxed() {
+static std::vector<MixedTypedExample> examples_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,11 @@
},
}, // End of an example
};
+return examples_relaxed;
+};
-std::vector<MixedTypedExample> examples_float16 = {
+std::vector<MixedTypedExample>& get_examples_float16() {
+static std::vector<MixedTypedExample> examples_float16 = {
// Begin of an example
{
.operands = {
@@ -101,8 +108,11 @@
},
}, // End of an example
};
+return examples_float16;
+};
-std::vector<MixedTypedExample> examples_quant8 = {
+std::vector<MixedTypedExample>& get_examples_quant8() {
+static std::vector<MixedTypedExample> examples_quant8 = {
// Begin of an example
{
.operands = {
@@ -135,8 +145,11 @@
},
}, // End of an example
};
+return examples_quant8;
+};
-std::vector<MixedTypedExample> examples_int32 = {
+std::vector<MixedTypedExample>& get_examples_int32() {
+static std::vector<MixedTypedExample> examples_int32 = {
// Begin of an example
{
.operands = {
@@ -169,4 +182,6 @@
},
}, // End of an example
};
+return examples_int32;
+};
diff --git a/nn/runtime/test/generated/examples/tile_3.example.cpp b/nn/runtime/test/generated/examples/tile_3.example.cpp
index e1d873e..1a03028 100644
--- a/nn/runtime/test/generated/examples/tile_3.example.cpp
+++ b/nn/runtime/test/generated/examples/tile_3.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: tile_3.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples;
+};
-std::vector<MixedTypedExample> examples_relaxed = {
+std::vector<MixedTypedExample>& get_examples_relaxed() {
+static std::vector<MixedTypedExample> examples_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,11 @@
},
}, // End of an example
};
+return examples_relaxed;
+};
-std::vector<MixedTypedExample> examples_float16 = {
+std::vector<MixedTypedExample>& get_examples_float16() {
+static std::vector<MixedTypedExample> examples_float16 = {
// Begin of an example
{
.operands = {
@@ -101,8 +108,11 @@
},
}, // End of an example
};
+return examples_float16;
+};
-std::vector<MixedTypedExample> examples_quant8 = {
+std::vector<MixedTypedExample>& get_examples_quant8() {
+static std::vector<MixedTypedExample> examples_quant8 = {
// Begin of an example
{
.operands = {
@@ -135,8 +145,11 @@
},
}, // End of an example
};
+return examples_quant8;
+};
-std::vector<MixedTypedExample> examples_int32 = {
+std::vector<MixedTypedExample>& get_examples_int32() {
+static std::vector<MixedTypedExample> examples_int32 = {
// Begin of an example
{
.operands = {
@@ -169,4 +182,6 @@
},
}, // End of an example
};
+return examples_int32;
+};
diff --git a/nn/runtime/test/generated/examples/topk_v2.example.cpp b/nn/runtime/test/generated/examples/topk_v2.example.cpp
index 72fb73f..57821ef 100644
--- a/nn/runtime/test/generated/examples/topk_v2.example.cpp
+++ b/nn/runtime/test/generated/examples/topk_v2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: topk_v2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples;
+};
-std::vector<MixedTypedExample> examples_relaxed = {
+std::vector<MixedTypedExample>& get_examples_relaxed() {
+static std::vector<MixedTypedExample> examples_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,11 @@
},
}, // End of an example
};
+return examples_relaxed;
+};
-std::vector<MixedTypedExample> examples_float16 = {
+std::vector<MixedTypedExample>& get_examples_float16() {
+static std::vector<MixedTypedExample> examples_float16 = {
// Begin of an example
{
.operands = {
@@ -101,8 +108,11 @@
},
}, // End of an example
};
+return examples_float16;
+};
-std::vector<MixedTypedExample> examples_2 = {
+std::vector<MixedTypedExample>& get_examples_2() {
+static std::vector<MixedTypedExample> examples_2 = {
// Begin of an example
{
.operands = {
@@ -135,8 +145,11 @@
},
}, // End of an example
};
+return examples_2;
+};
-std::vector<MixedTypedExample> examples_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_2() {
+static std::vector<MixedTypedExample> examples_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -169,8 +182,11 @@
},
}, // End of an example
};
+return examples_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_float16_2 = {
+std::vector<MixedTypedExample>& get_examples_float16_2() {
+static std::vector<MixedTypedExample> examples_float16_2 = {
// Begin of an example
{
.operands = {
@@ -203,8 +219,11 @@
},
}, // End of an example
};
+return examples_float16_2;
+};
-std::vector<MixedTypedExample> examples_3 = {
+std::vector<MixedTypedExample>& get_examples_3() {
+static std::vector<MixedTypedExample> examples_3 = {
// Begin of an example
{
.operands = {
@@ -237,8 +256,11 @@
},
}, // End of an example
};
+return examples_3;
+};
-std::vector<MixedTypedExample> examples_relaxed_3 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_3() {
+static std::vector<MixedTypedExample> examples_relaxed_3 = {
// Begin of an example
{
.operands = {
@@ -271,8 +293,11 @@
},
}, // End of an example
};
+return examples_relaxed_3;
+};
-std::vector<MixedTypedExample> examples_float16_3 = {
+std::vector<MixedTypedExample>& get_examples_float16_3() {
+static std::vector<MixedTypedExample> examples_float16_3 = {
// Begin of an example
{
.operands = {
@@ -305,8 +330,11 @@
},
}, // End of an example
};
+return examples_float16_3;
+};
-std::vector<MixedTypedExample> examples_4 = {
+std::vector<MixedTypedExample>& get_examples_4() {
+static std::vector<MixedTypedExample> examples_4 = {
// Begin of an example
{
.operands = {
@@ -339,8 +367,11 @@
},
}, // End of an example
};
+return examples_4;
+};
-std::vector<MixedTypedExample> examples_relaxed_4 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_4() {
+static std::vector<MixedTypedExample> examples_relaxed_4 = {
// Begin of an example
{
.operands = {
@@ -373,8 +404,11 @@
},
}, // End of an example
};
+return examples_relaxed_4;
+};
-std::vector<MixedTypedExample> examples_float16_4 = {
+std::vector<MixedTypedExample>& get_examples_float16_4() {
+static std::vector<MixedTypedExample> examples_float16_4 = {
// Begin of an example
{
.operands = {
@@ -407,8 +441,11 @@
},
}, // End of an example
};
+return examples_float16_4;
+};
-std::vector<MixedTypedExample> examples_5 = {
+std::vector<MixedTypedExample>& get_examples_5() {
+static std::vector<MixedTypedExample> examples_5 = {
// Begin of an example
{
.operands = {
@@ -441,8 +478,11 @@
},
}, // End of an example
};
+return examples_5;
+};
-std::vector<MixedTypedExample> examples_relaxed_5 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_5() {
+static std::vector<MixedTypedExample> examples_relaxed_5 = {
// Begin of an example
{
.operands = {
@@ -475,8 +515,11 @@
},
}, // End of an example
};
+return examples_relaxed_5;
+};
-std::vector<MixedTypedExample> examples_float16_5 = {
+std::vector<MixedTypedExample>& get_examples_float16_5() {
+static std::vector<MixedTypedExample> examples_float16_5 = {
// Begin of an example
{
.operands = {
@@ -509,8 +552,11 @@
},
}, // End of an example
};
+return examples_float16_5;
+};
-std::vector<MixedTypedExample> examples_6 = {
+std::vector<MixedTypedExample>& get_examples_6() {
+static std::vector<MixedTypedExample> examples_6 = {
// Begin of an example
{
.operands = {
@@ -543,8 +589,11 @@
},
}, // End of an example
};
+return examples_6;
+};
-std::vector<MixedTypedExample> examples_relaxed_6 = {
+std::vector<MixedTypedExample>& get_examples_relaxed_6() {
+static std::vector<MixedTypedExample> examples_relaxed_6 = {
// Begin of an example
{
.operands = {
@@ -577,8 +626,11 @@
},
}, // End of an example
};
+return examples_relaxed_6;
+};
-std::vector<MixedTypedExample> examples_float16_6 = {
+std::vector<MixedTypedExample>& get_examples_float16_6() {
+static std::vector<MixedTypedExample> examples_float16_6 = {
// Begin of an example
{
.operands = {
@@ -611,4 +663,6 @@
},
}, // End of an example
};
+return examples_float16_6;
+};
diff --git a/nn/runtime/test/generated/examples/transpose.example.cpp b/nn/runtime/test/generated/examples/transpose.example.cpp
index dd30653..a88443f 100644
--- a/nn/runtime/test/generated/examples/transpose.example.cpp
+++ b/nn/runtime/test/generated/examples/transpose.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: transpose.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/transpose_conv2d.example.cpp b/nn/runtime/test/generated/examples/transpose_conv2d.example.cpp
index f39c614..8de0db1 100644
--- a/nn/runtime/test/generated/examples/transpose_conv2d.example.cpp
+++ b/nn/runtime/test/generated/examples/transpose_conv2d.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: transpose_conv2d.mod.py). Do not edit
-std::vector<MixedTypedExample> examples_nhwc_none = {
+std::vector<MixedTypedExample>& get_examples_nhwc_none() {
+static std::vector<MixedTypedExample> examples_nhwc_none = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples_nhwc_none;
+};
-std::vector<MixedTypedExample> examples_nhwc_none_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nhwc_none_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nhwc_none_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,11 @@
},
}, // End of an example
};
+return examples_nhwc_none_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nhwc_none_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nhwc_none_relaxed() {
+static std::vector<MixedTypedExample> examples_nhwc_none_relaxed = {
// Begin of an example
{
.operands = {
@@ -101,8 +108,11 @@
},
}, // End of an example
};
+return examples_nhwc_none_relaxed;
+};
-std::vector<MixedTypedExample> examples_nhwc_none_relaxed_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nhwc_none_relaxed_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nhwc_none_relaxed_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -135,8 +145,11 @@
},
}, // End of an example
};
+return examples_nhwc_none_relaxed_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nhwc_none_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_none_quant8() {
+static std::vector<MixedTypedExample> examples_nhwc_none_quant8 = {
// Begin of an example
{
.operands = {
@@ -169,8 +182,11 @@
},
}, // End of an example
};
+return examples_nhwc_none_quant8;
+};
-std::vector<MixedTypedExample> examples_nhwc_none_quant8_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nhwc_none_quant8_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nhwc_none_quant8_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -203,8 +219,11 @@
},
}, // End of an example
};
+return examples_nhwc_none_quant8_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nhwc_relu = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relu() {
+static std::vector<MixedTypedExample> examples_nhwc_relu = {
// Begin of an example
{
.operands = {
@@ -237,8 +256,11 @@
},
}, // End of an example
};
+return examples_nhwc_relu;
+};
-std::vector<MixedTypedExample> examples_nhwc_relu_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relu_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nhwc_relu_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -271,8 +293,11 @@
},
}, // End of an example
};
+return examples_nhwc_relu_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nhwc_relu_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relu_relaxed() {
+static std::vector<MixedTypedExample> examples_nhwc_relu_relaxed = {
// Begin of an example
{
.operands = {
@@ -305,8 +330,11 @@
},
}, // End of an example
};
+return examples_nhwc_relu_relaxed;
+};
-std::vector<MixedTypedExample> examples_nhwc_relu_relaxed_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relu_relaxed_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nhwc_relu_relaxed_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -339,8 +367,11 @@
},
}, // End of an example
};
+return examples_nhwc_relu_relaxed_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nhwc_relu_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relu_quant8() {
+static std::vector<MixedTypedExample> examples_nhwc_relu_quant8 = {
// Begin of an example
{
.operands = {
@@ -373,8 +404,11 @@
},
}, // End of an example
};
+return examples_nhwc_relu_quant8;
+};
-std::vector<MixedTypedExample> examples_nhwc_relu_quant8_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relu_quant8_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nhwc_relu_quant8_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -407,8 +441,11 @@
},
}, // End of an example
};
+return examples_nhwc_relu_quant8_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nhwc_relu1 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relu1() {
+static std::vector<MixedTypedExample> examples_nhwc_relu1 = {
// Begin of an example
{
.operands = {
@@ -441,8 +478,11 @@
},
}, // End of an example
};
+return examples_nhwc_relu1;
+};
-std::vector<MixedTypedExample> examples_nhwc_relu1_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relu1_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nhwc_relu1_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -475,8 +515,11 @@
},
}, // End of an example
};
+return examples_nhwc_relu1_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nhwc_relu1_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relu1_relaxed() {
+static std::vector<MixedTypedExample> examples_nhwc_relu1_relaxed = {
// Begin of an example
{
.operands = {
@@ -509,8 +552,11 @@
},
}, // End of an example
};
+return examples_nhwc_relu1_relaxed;
+};
-std::vector<MixedTypedExample> examples_nhwc_relu1_relaxed_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relu1_relaxed_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nhwc_relu1_relaxed_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -543,8 +589,11 @@
},
}, // End of an example
};
+return examples_nhwc_relu1_relaxed_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nhwc_relu1_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relu1_quant8() {
+static std::vector<MixedTypedExample> examples_nhwc_relu1_quant8 = {
// Begin of an example
{
.operands = {
@@ -577,8 +626,11 @@
},
}, // End of an example
};
+return examples_nhwc_relu1_quant8;
+};
-std::vector<MixedTypedExample> examples_nhwc_relu1_quant8_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relu1_quant8_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nhwc_relu1_quant8_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -611,8 +663,11 @@
},
}, // End of an example
};
+return examples_nhwc_relu1_quant8_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nhwc_relu6 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relu6() {
+static std::vector<MixedTypedExample> examples_nhwc_relu6 = {
// Begin of an example
{
.operands = {
@@ -645,8 +700,11 @@
},
}, // End of an example
};
+return examples_nhwc_relu6;
+};
-std::vector<MixedTypedExample> examples_nhwc_relu6_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relu6_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nhwc_relu6_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -679,8 +737,11 @@
},
}, // End of an example
};
+return examples_nhwc_relu6_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nhwc_relu6_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relu6_relaxed() {
+static std::vector<MixedTypedExample> examples_nhwc_relu6_relaxed = {
// Begin of an example
{
.operands = {
@@ -713,8 +774,11 @@
},
}, // End of an example
};
+return examples_nhwc_relu6_relaxed;
+};
-std::vector<MixedTypedExample> examples_nhwc_relu6_relaxed_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relu6_relaxed_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nhwc_relu6_relaxed_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -747,8 +811,11 @@
},
}, // End of an example
};
+return examples_nhwc_relu6_relaxed_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nhwc_relu6_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relu6_quant8() {
+static std::vector<MixedTypedExample> examples_nhwc_relu6_quant8 = {
// Begin of an example
{
.operands = {
@@ -781,8 +848,11 @@
},
}, // End of an example
};
+return examples_nhwc_relu6_quant8;
+};
-std::vector<MixedTypedExample> examples_nhwc_relu6_quant8_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relu6_quant8_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nhwc_relu6_quant8_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -815,8 +885,11 @@
},
}, // End of an example
};
+return examples_nhwc_relu6_quant8_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nchw_none = {
+std::vector<MixedTypedExample>& get_examples_nchw_none() {
+static std::vector<MixedTypedExample> examples_nchw_none = {
// Begin of an example
{
.operands = {
@@ -849,8 +922,11 @@
},
}, // End of an example
};
+return examples_nchw_none;
+};
-std::vector<MixedTypedExample> examples_nchw_none_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nchw_none_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nchw_none_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -883,8 +959,11 @@
},
}, // End of an example
};
+return examples_nchw_none_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nchw_none_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nchw_none_relaxed() {
+static std::vector<MixedTypedExample> examples_nchw_none_relaxed = {
// Begin of an example
{
.operands = {
@@ -917,8 +996,11 @@
},
}, // End of an example
};
+return examples_nchw_none_relaxed;
+};
-std::vector<MixedTypedExample> examples_nchw_none_relaxed_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nchw_none_relaxed_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nchw_none_relaxed_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -951,8 +1033,11 @@
},
}, // End of an example
};
+return examples_nchw_none_relaxed_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nchw_none_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nchw_none_quant8() {
+static std::vector<MixedTypedExample> examples_nchw_none_quant8 = {
// Begin of an example
{
.operands = {
@@ -985,8 +1070,11 @@
},
}, // End of an example
};
+return examples_nchw_none_quant8;
+};
-std::vector<MixedTypedExample> examples_nchw_none_quant8_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nchw_none_quant8_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nchw_none_quant8_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -1019,8 +1107,11 @@
},
}, // End of an example
};
+return examples_nchw_none_quant8_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nchw_relu = {
+std::vector<MixedTypedExample>& get_examples_nchw_relu() {
+static std::vector<MixedTypedExample> examples_nchw_relu = {
// Begin of an example
{
.operands = {
@@ -1053,8 +1144,11 @@
},
}, // End of an example
};
+return examples_nchw_relu;
+};
-std::vector<MixedTypedExample> examples_nchw_relu_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nchw_relu_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nchw_relu_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -1087,8 +1181,11 @@
},
}, // End of an example
};
+return examples_nchw_relu_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nchw_relu_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nchw_relu_relaxed() {
+static std::vector<MixedTypedExample> examples_nchw_relu_relaxed = {
// Begin of an example
{
.operands = {
@@ -1121,8 +1218,11 @@
},
}, // End of an example
};
+return examples_nchw_relu_relaxed;
+};
-std::vector<MixedTypedExample> examples_nchw_relu_relaxed_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nchw_relu_relaxed_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nchw_relu_relaxed_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -1155,8 +1255,11 @@
},
}, // End of an example
};
+return examples_nchw_relu_relaxed_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nchw_relu_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relu_quant8() {
+static std::vector<MixedTypedExample> examples_nchw_relu_quant8 = {
// Begin of an example
{
.operands = {
@@ -1189,8 +1292,11 @@
},
}, // End of an example
};
+return examples_nchw_relu_quant8;
+};
-std::vector<MixedTypedExample> examples_nchw_relu_quant8_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nchw_relu_quant8_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nchw_relu_quant8_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -1223,8 +1329,11 @@
},
}, // End of an example
};
+return examples_nchw_relu_quant8_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nchw_relu1 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relu1() {
+static std::vector<MixedTypedExample> examples_nchw_relu1 = {
// Begin of an example
{
.operands = {
@@ -1257,8 +1366,11 @@
},
}, // End of an example
};
+return examples_nchw_relu1;
+};
-std::vector<MixedTypedExample> examples_nchw_relu1_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nchw_relu1_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nchw_relu1_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -1291,8 +1403,11 @@
},
}, // End of an example
};
+return examples_nchw_relu1_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nchw_relu1_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nchw_relu1_relaxed() {
+static std::vector<MixedTypedExample> examples_nchw_relu1_relaxed = {
// Begin of an example
{
.operands = {
@@ -1325,8 +1440,11 @@
},
}, // End of an example
};
+return examples_nchw_relu1_relaxed;
+};
-std::vector<MixedTypedExample> examples_nchw_relu1_relaxed_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nchw_relu1_relaxed_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nchw_relu1_relaxed_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -1359,8 +1477,11 @@
},
}, // End of an example
};
+return examples_nchw_relu1_relaxed_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nchw_relu1_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relu1_quant8() {
+static std::vector<MixedTypedExample> examples_nchw_relu1_quant8 = {
// Begin of an example
{
.operands = {
@@ -1393,8 +1514,11 @@
},
}, // End of an example
};
+return examples_nchw_relu1_quant8;
+};
-std::vector<MixedTypedExample> examples_nchw_relu1_quant8_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nchw_relu1_quant8_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nchw_relu1_quant8_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -1427,8 +1551,11 @@
},
}, // End of an example
};
+return examples_nchw_relu1_quant8_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nchw_relu6 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relu6() {
+static std::vector<MixedTypedExample> examples_nchw_relu6 = {
// Begin of an example
{
.operands = {
@@ -1461,8 +1588,11 @@
},
}, // End of an example
};
+return examples_nchw_relu6;
+};
-std::vector<MixedTypedExample> examples_nchw_relu6_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nchw_relu6_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nchw_relu6_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -1495,8 +1625,11 @@
},
}, // End of an example
};
+return examples_nchw_relu6_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nchw_relu6_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nchw_relu6_relaxed() {
+static std::vector<MixedTypedExample> examples_nchw_relu6_relaxed = {
// Begin of an example
{
.operands = {
@@ -1529,8 +1662,11 @@
},
}, // End of an example
};
+return examples_nchw_relu6_relaxed;
+};
-std::vector<MixedTypedExample> examples_nchw_relu6_relaxed_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nchw_relu6_relaxed_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nchw_relu6_relaxed_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -1563,8 +1699,11 @@
},
}, // End of an example
};
+return examples_nchw_relu6_relaxed_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nchw_relu6_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relu6_quant8() {
+static std::vector<MixedTypedExample> examples_nchw_relu6_quant8 = {
// Begin of an example
{
.operands = {
@@ -1597,8 +1736,11 @@
},
}, // End of an example
};
+return examples_nchw_relu6_quant8;
+};
-std::vector<MixedTypedExample> examples_nchw_relu6_quant8_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nchw_relu6_quant8_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nchw_relu6_quant8_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -1631,8 +1773,11 @@
},
}, // End of an example
};
+return examples_nchw_relu6_quant8_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nhwc = {
+std::vector<MixedTypedExample>& get_examples_nhwc() {
+static std::vector<MixedTypedExample> examples_nhwc = {
// Begin of an example
{
.operands = {
@@ -1665,8 +1810,11 @@
},
}, // End of an example
};
+return examples_nhwc;
+};
-std::vector<MixedTypedExample> examples_nhwc_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nhwc_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nhwc_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -1699,8 +1847,11 @@
},
}, // End of an example
};
+return examples_nhwc_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed = {
// Begin of an example
{
.operands = {
@@ -1733,8 +1884,11 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -1767,8 +1921,11 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nhwc_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8 = {
// Begin of an example
{
.operands = {
@@ -1801,8 +1958,11 @@
},
}, // End of an example
};
+return examples_nhwc_quant8;
+};
-std::vector<MixedTypedExample> examples_nhwc_quant8_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -1835,8 +1995,11 @@
},
}, // End of an example
};
+return examples_nhwc_quant8_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nchw = {
+std::vector<MixedTypedExample>& get_examples_nchw() {
+static std::vector<MixedTypedExample> examples_nchw = {
// Begin of an example
{
.operands = {
@@ -1869,8 +2032,11 @@
},
}, // End of an example
};
+return examples_nchw;
+};
-std::vector<MixedTypedExample> examples_nchw_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nchw_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nchw_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -1903,8 +2069,11 @@
},
}, // End of an example
};
+return examples_nchw_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed = {
// Begin of an example
{
.operands = {
@@ -1937,8 +2106,11 @@
},
}, // End of an example
};
+return examples_nchw_relaxed;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -1971,8 +2143,11 @@
},
}, // End of an example
};
+return examples_nchw_relaxed_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nchw_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nchw_quant8() {
+static std::vector<MixedTypedExample> examples_nchw_quant8 = {
// Begin of an example
{
.operands = {
@@ -2005,8 +2180,11 @@
},
}, // End of an example
};
+return examples_nchw_quant8;
+};
-std::vector<MixedTypedExample> examples_nchw_quant8_weight_as_input = {
+std::vector<MixedTypedExample>& get_examples_nchw_quant8_weight_as_input() {
+static std::vector<MixedTypedExample> examples_nchw_quant8_weight_as_input = {
// Begin of an example
{
.operands = {
@@ -2039,8 +2217,11 @@
},
}, // End of an example
};
+return examples_nchw_quant8_weight_as_input;
+};
-std::vector<MixedTypedExample> examples_nhwc_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_2() {
+static std::vector<MixedTypedExample> examples_nhwc_2 = {
// Begin of an example
{
.operands = {
@@ -2073,8 +2254,11 @@
},
}, // End of an example
};
+return examples_nhwc_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_weight_as_input_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_weight_as_input_2() {
+static std::vector<MixedTypedExample> examples_nhwc_weight_as_input_2 = {
// Begin of an example
{
.operands = {
@@ -2107,8 +2291,11 @@
},
}, // End of an example
};
+return examples_nhwc_weight_as_input_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed_2() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -2141,8 +2328,11 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed_weight_as_input_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed_weight_as_input_2() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed_weight_as_input_2 = {
// Begin of an example
{
.operands = {
@@ -2175,8 +2365,11 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed_weight_as_input_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_quant8_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8_2() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8_2 = {
// Begin of an example
{
.operands = {
@@ -2209,8 +2402,11 @@
},
}, // End of an example
};
+return examples_nhwc_quant8_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_quant8_weight_as_input_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8_weight_as_input_2() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8_weight_as_input_2 = {
// Begin of an example
{
.operands = {
@@ -2243,8 +2439,11 @@
},
}, // End of an example
};
+return examples_nhwc_quant8_weight_as_input_2;
+};
-std::vector<MixedTypedExample> examples_nchw_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_2() {
+static std::vector<MixedTypedExample> examples_nchw_2 = {
// Begin of an example
{
.operands = {
@@ -2277,8 +2476,11 @@
},
}, // End of an example
};
+return examples_nchw_2;
+};
-std::vector<MixedTypedExample> examples_nchw_weight_as_input_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_weight_as_input_2() {
+static std::vector<MixedTypedExample> examples_nchw_weight_as_input_2 = {
// Begin of an example
{
.operands = {
@@ -2311,8 +2513,11 @@
},
}, // End of an example
};
+return examples_nchw_weight_as_input_2;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed_2() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed_2 = {
// Begin of an example
{
.operands = {
@@ -2345,8 +2550,11 @@
},
}, // End of an example
};
+return examples_nchw_relaxed_2;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed_weight_as_input_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed_weight_as_input_2() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed_weight_as_input_2 = {
// Begin of an example
{
.operands = {
@@ -2379,8 +2587,11 @@
},
}, // End of an example
};
+return examples_nchw_relaxed_weight_as_input_2;
+};
-std::vector<MixedTypedExample> examples_nchw_quant8_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_quant8_2() {
+static std::vector<MixedTypedExample> examples_nchw_quant8_2 = {
// Begin of an example
{
.operands = {
@@ -2413,8 +2624,11 @@
},
}, // End of an example
};
+return examples_nchw_quant8_2;
+};
-std::vector<MixedTypedExample> examples_nchw_quant8_weight_as_input_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_quant8_weight_as_input_2() {
+static std::vector<MixedTypedExample> examples_nchw_quant8_weight_as_input_2 = {
// Begin of an example
{
.operands = {
@@ -2447,8 +2661,11 @@
},
}, // End of an example
};
+return examples_nchw_quant8_weight_as_input_2;
+};
-std::vector<MixedTypedExample> examples_nhwc_3 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_3() {
+static std::vector<MixedTypedExample> examples_nhwc_3 = {
// Begin of an example
{
.operands = {
@@ -2481,8 +2698,11 @@
},
}, // End of an example
};
+return examples_nhwc_3;
+};
-std::vector<MixedTypedExample> examples_nhwc_weight_as_input_3 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_weight_as_input_3() {
+static std::vector<MixedTypedExample> examples_nhwc_weight_as_input_3 = {
// Begin of an example
{
.operands = {
@@ -2515,8 +2735,11 @@
},
}, // End of an example
};
+return examples_nhwc_weight_as_input_3;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed_3 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed_3() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed_3 = {
// Begin of an example
{
.operands = {
@@ -2549,8 +2772,11 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed_3;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed_weight_as_input_3 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed_weight_as_input_3() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed_weight_as_input_3 = {
// Begin of an example
{
.operands = {
@@ -2583,8 +2809,11 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed_weight_as_input_3;
+};
-std::vector<MixedTypedExample> examples_nhwc_quant8_3 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8_3() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8_3 = {
// Begin of an example
{
.operands = {
@@ -2617,8 +2846,11 @@
},
}, // End of an example
};
+return examples_nhwc_quant8_3;
+};
-std::vector<MixedTypedExample> examples_nhwc_quant8_weight_as_input_3 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8_weight_as_input_3() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8_weight_as_input_3 = {
// Begin of an example
{
.operands = {
@@ -2651,8 +2883,11 @@
},
}, // End of an example
};
+return examples_nhwc_quant8_weight_as_input_3;
+};
-std::vector<MixedTypedExample> examples_nchw_3 = {
+std::vector<MixedTypedExample>& get_examples_nchw_3() {
+static std::vector<MixedTypedExample> examples_nchw_3 = {
// Begin of an example
{
.operands = {
@@ -2685,8 +2920,11 @@
},
}, // End of an example
};
+return examples_nchw_3;
+};
-std::vector<MixedTypedExample> examples_nchw_weight_as_input_3 = {
+std::vector<MixedTypedExample>& get_examples_nchw_weight_as_input_3() {
+static std::vector<MixedTypedExample> examples_nchw_weight_as_input_3 = {
// Begin of an example
{
.operands = {
@@ -2719,8 +2957,11 @@
},
}, // End of an example
};
+return examples_nchw_weight_as_input_3;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed_3 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed_3() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed_3 = {
// Begin of an example
{
.operands = {
@@ -2753,8 +2994,11 @@
},
}, // End of an example
};
+return examples_nchw_relaxed_3;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed_weight_as_input_3 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed_weight_as_input_3() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed_weight_as_input_3 = {
// Begin of an example
{
.operands = {
@@ -2787,8 +3031,11 @@
},
}, // End of an example
};
+return examples_nchw_relaxed_weight_as_input_3;
+};
-std::vector<MixedTypedExample> examples_nchw_quant8_3 = {
+std::vector<MixedTypedExample>& get_examples_nchw_quant8_3() {
+static std::vector<MixedTypedExample> examples_nchw_quant8_3 = {
// Begin of an example
{
.operands = {
@@ -2821,8 +3068,11 @@
},
}, // End of an example
};
+return examples_nchw_quant8_3;
+};
-std::vector<MixedTypedExample> examples_nchw_quant8_weight_as_input_3 = {
+std::vector<MixedTypedExample>& get_examples_nchw_quant8_weight_as_input_3() {
+static std::vector<MixedTypedExample> examples_nchw_quant8_weight_as_input_3 = {
// Begin of an example
{
.operands = {
@@ -2855,8 +3105,11 @@
},
}, // End of an example
};
+return examples_nchw_quant8_weight_as_input_3;
+};
-std::vector<MixedTypedExample> examples_nhwc_4 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_4() {
+static std::vector<MixedTypedExample> examples_nhwc_4 = {
// Begin of an example
{
.operands = {
@@ -2889,8 +3142,11 @@
},
}, // End of an example
};
+return examples_nhwc_4;
+};
-std::vector<MixedTypedExample> examples_nhwc_weight_as_input_4 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_weight_as_input_4() {
+static std::vector<MixedTypedExample> examples_nhwc_weight_as_input_4 = {
// Begin of an example
{
.operands = {
@@ -2923,8 +3179,11 @@
},
}, // End of an example
};
+return examples_nhwc_weight_as_input_4;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed_4 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed_4() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed_4 = {
// Begin of an example
{
.operands = {
@@ -2957,8 +3216,11 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed_4;
+};
-std::vector<MixedTypedExample> examples_nhwc_relaxed_weight_as_input_4 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed_weight_as_input_4() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed_weight_as_input_4 = {
// Begin of an example
{
.operands = {
@@ -2991,8 +3253,11 @@
},
}, // End of an example
};
+return examples_nhwc_relaxed_weight_as_input_4;
+};
-std::vector<MixedTypedExample> examples_nhwc_quant8_4 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8_4() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8_4 = {
// Begin of an example
{
.operands = {
@@ -3025,8 +3290,11 @@
},
}, // End of an example
};
+return examples_nhwc_quant8_4;
+};
-std::vector<MixedTypedExample> examples_nhwc_quant8_weight_as_input_4 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8_weight_as_input_4() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8_weight_as_input_4 = {
// Begin of an example
{
.operands = {
@@ -3059,8 +3327,11 @@
},
}, // End of an example
};
+return examples_nhwc_quant8_weight_as_input_4;
+};
-std::vector<MixedTypedExample> examples_nchw_4 = {
+std::vector<MixedTypedExample>& get_examples_nchw_4() {
+static std::vector<MixedTypedExample> examples_nchw_4 = {
// Begin of an example
{
.operands = {
@@ -3093,8 +3364,11 @@
},
}, // End of an example
};
+return examples_nchw_4;
+};
-std::vector<MixedTypedExample> examples_nchw_weight_as_input_4 = {
+std::vector<MixedTypedExample>& get_examples_nchw_weight_as_input_4() {
+static std::vector<MixedTypedExample> examples_nchw_weight_as_input_4 = {
// Begin of an example
{
.operands = {
@@ -3127,8 +3401,11 @@
},
}, // End of an example
};
+return examples_nchw_weight_as_input_4;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed_4 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed_4() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed_4 = {
// Begin of an example
{
.operands = {
@@ -3161,8 +3438,11 @@
},
}, // End of an example
};
+return examples_nchw_relaxed_4;
+};
-std::vector<MixedTypedExample> examples_nchw_relaxed_weight_as_input_4 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed_weight_as_input_4() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed_weight_as_input_4 = {
// Begin of an example
{
.operands = {
@@ -3195,8 +3475,11 @@
},
}, // End of an example
};
+return examples_nchw_relaxed_weight_as_input_4;
+};
-std::vector<MixedTypedExample> examples_nchw_quant8_4 = {
+std::vector<MixedTypedExample>& get_examples_nchw_quant8_4() {
+static std::vector<MixedTypedExample> examples_nchw_quant8_4 = {
// Begin of an example
{
.operands = {
@@ -3229,8 +3512,11 @@
},
}, // End of an example
};
+return examples_nchw_quant8_4;
+};
-std::vector<MixedTypedExample> examples_nchw_quant8_weight_as_input_4 = {
+std::vector<MixedTypedExample>& get_examples_nchw_quant8_weight_as_input_4() {
+static std::vector<MixedTypedExample> examples_nchw_quant8_weight_as_input_4 = {
// Begin of an example
{
.operands = {
@@ -3263,4 +3549,6 @@
},
}, // End of an example
};
+return examples_nchw_quant8_weight_as_input_4;
+};
diff --git a/nn/runtime/test/generated/examples/argmin_2_quant8.example.cpp b/nn/runtime/test/generated/examples/transpose_float16.example.cpp
similarity index 68%
rename from nn/runtime/test/generated/examples/argmin_2_quant8.example.cpp
rename to nn/runtime/test/generated/examples/transpose_float16.example.cpp
index ce68216..05ff734 100644
--- a/nn/runtime/test/generated/examples/argmin_2_quant8.example.cpp
+++ b/nn/runtime/test/generated/examples/transpose_float16.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
-// Generated file (from: argmin_2_quant8.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+// Generated file (from: transpose_float16.mod.py). Do not edit
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -11,26 +12,28 @@
// int -> INT32 map
{},
// int -> QUANT8_ASYMM map
- {{0, {1, 2, 4, 3}}},
+ {},
// int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
- {},
+ {{0, {1.0f, 2.0f, 3.0f, 4.0f}}},
},
//Output(s)
{ // See tools/test_generator/include/TestHarness.h:MixedTyped
// int -> FLOAT32 map
{},
// int -> INT32 map
- {{0, {0, 0}}},
+ {},
// int -> QUANT8_ASYMM map
{},
// int -> QUANT16_SYMM map
{},
// int -> FLOAT16 map
- {},
+ {{0, {1.0f, 3.0f, 2.0f, 4.0f}}},
}
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/transpose_float_1.example.cpp b/nn/runtime/test/generated/examples/transpose_float_1.example.cpp
index 21972b6..7a75394 100644
--- a/nn/runtime/test/generated/examples/transpose_float_1.example.cpp
+++ b/nn/runtime/test/generated/examples/transpose_float_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: transpose_float_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/transpose_float_1_relaxed.example.cpp b/nn/runtime/test/generated/examples/transpose_float_1_relaxed.example.cpp
index 2427545..1c1078c 100644
--- a/nn/runtime/test/generated/examples/transpose_float_1_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/transpose_float_1_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: transpose_float_1_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/transpose_quant8_1.example.cpp b/nn/runtime/test/generated/examples/transpose_quant8_1.example.cpp
index ec03779..9653f63 100644
--- a/nn/runtime/test/generated/examples/transpose_quant8_1.example.cpp
+++ b/nn/runtime/test/generated/examples/transpose_quant8_1.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: transpose_quant8_1.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/transpose_relaxed.example.cpp b/nn/runtime/test/generated/examples/transpose_relaxed.example.cpp
index 159c5fa..9f7dcff 100644
--- a/nn/runtime/test/generated/examples/transpose_relaxed.example.cpp
+++ b/nn/runtime/test/generated/examples/transpose_relaxed.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: transpose_relaxed.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,4 +34,6 @@
},
}, // End of an example
};
+return examples;
+};
diff --git a/nn/runtime/test/generated/examples/transpose_v1_2.example.cpp b/nn/runtime/test/generated/examples/transpose_v1_2.example.cpp
index cf91530..fa4abc0 100644
--- a/nn/runtime/test/generated/examples/transpose_v1_2.example.cpp
+++ b/nn/runtime/test/generated/examples/transpose_v1_2.example.cpp
@@ -1,6 +1,7 @@
// clang-format off
// Generated file (from: transpose_v1_2.mod.py). Do not edit
-std::vector<MixedTypedExample> examples = {
+std::vector<MixedTypedExample>& get_examples() {
+static std::vector<MixedTypedExample> examples = {
// Begin of an example
{
.operands = {
@@ -33,8 +34,11 @@
},
}, // End of an example
};
+return examples;
+};
-std::vector<MixedTypedExample> examples_relaxed = {
+std::vector<MixedTypedExample>& get_examples_relaxed() {
+static std::vector<MixedTypedExample> examples_relaxed = {
// Begin of an example
{
.operands = {
@@ -67,8 +71,11 @@
},
}, // End of an example
};
+return examples_relaxed;
+};
-std::vector<MixedTypedExample> examples_quant8 = {
+std::vector<MixedTypedExample>& get_examples_quant8() {
+static std::vector<MixedTypedExample> examples_quant8 = {
// Begin of an example
{
.operands = {
@@ -101,4 +108,6 @@
},
}, // End of an example
};
+return examples_quant8;
+};
diff --git a/nn/runtime/test/generated/models/abs.model.cpp b/nn/runtime/test/generated/models/abs.model.cpp
new file mode 100644
index 0000000..8aa5748
--- /dev/null
+++ b/nn/runtime/test/generated/models/abs.model.cpp
@@ -0,0 +1,61 @@
+// clang-format off
+// Generated file (from: abs.mod.py). Do not edit
+void CreateModel(Model *model) {
+ OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 3, 4, 5});
+ // Phase 1, operands
+ auto input0 = model->addOperand(&type0);
+ auto output0 = model->addOperand(&type0);
+ // Phase 2, operations
+ model->addOperation(ANEURALNETWORKS_ABS, {input0}, {output0});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input0},
+ {output0});
+ assert(model->isValid());
+}
+
+inline bool is_ignored(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_relaxed(Model *model) {
+ OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 3, 4, 5});
+ // Phase 1, operands
+ auto input0 = model->addOperand(&type0);
+ auto output0 = model->addOperand(&type0);
+ // Phase 2, operations
+ model->addOperation(ANEURALNETWORKS_ABS, {input0}, {output0});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input0},
+ {output0});
+ // Phase 4: set relaxed execution
+ model->relaxComputationFloat32toFloat16(true);
+ assert(model->isValid());
+}
+
+inline bool is_ignored_relaxed(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_float16(Model *model) {
+ OperandType type1(Type::TENSOR_FLOAT16, {1, 2, 3, 4, 5});
+ // Phase 1, operands
+ auto input0 = model->addOperand(&type1);
+ auto output0 = model->addOperand(&type1);
+ // Phase 2, operations
+ model->addOperation(ANEURALNETWORKS_ABS, {input0}, {output0});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input0},
+ {output0});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
diff --git a/nn/runtime/test/generated/models/argmax_1.model.cpp b/nn/runtime/test/generated/models/argmax_1.model.cpp
new file mode 100644
index 0000000..b658028
--- /dev/null
+++ b/nn/runtime/test/generated/models/argmax_1.model.cpp
@@ -0,0 +1,124 @@
+// clang-format off
+// Generated file (from: argmax_1.mod.py). Do not edit
+void CreateModel(Model *model) {
+ OperandType type0(Type::TENSOR_FLOAT32, {2, 2});
+ OperandType type1(Type::INT32, {});
+ OperandType type2(Type::TENSOR_INT32, {2});
+ // Phase 1, operands
+ auto input0 = model->addOperand(&type0);
+ auto axis = model->addOperand(&type1);
+ auto output = model->addOperand(&type2);
+ // Phase 2, operations
+ static int32_t axis_init[] = {1};
+ model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_ARGMAX, {input0, axis}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input0},
+ {output});
+ assert(model->isValid());
+}
+
+inline bool is_ignored(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_relaxed(Model *model) {
+ OperandType type0(Type::TENSOR_FLOAT32, {2, 2});
+ OperandType type1(Type::INT32, {});
+ OperandType type2(Type::TENSOR_INT32, {2});
+ // Phase 1, operands
+ auto input0 = model->addOperand(&type0);
+ auto axis = model->addOperand(&type1);
+ auto output = model->addOperand(&type2);
+ // Phase 2, operations
+ static int32_t axis_init[] = {1};
+ model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_ARGMAX, {input0, axis}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input0},
+ {output});
+ // Phase 4: set relaxed execution
+ model->relaxComputationFloat32toFloat16(true);
+ assert(model->isValid());
+}
+
+inline bool is_ignored_relaxed(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_float16(Model *model) {
+ OperandType type1(Type::INT32, {});
+ OperandType type2(Type::TENSOR_INT32, {2});
+ OperandType type3(Type::TENSOR_FLOAT16, {2, 2});
+ // Phase 1, operands
+ auto input0 = model->addOperand(&type3);
+ auto axis = model->addOperand(&type1);
+ auto output = model->addOperand(&type2);
+ // Phase 2, operations
+ static int32_t axis_init[] = {1};
+ model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_ARGMAX, {input0, axis}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input0},
+ {output});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_int32(Model *model) {
+ OperandType type1(Type::INT32, {});
+ OperandType type2(Type::TENSOR_INT32, {2});
+ OperandType type4(Type::TENSOR_INT32, {2, 2});
+ // Phase 1, operands
+ auto input0 = model->addOperand(&type4);
+ auto axis = model->addOperand(&type1);
+ auto output = model->addOperand(&type2);
+ // Phase 2, operations
+ static int32_t axis_init[] = {1};
+ model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_ARGMAX, {input0, axis}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input0},
+ {output});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_int32(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_quant8(Model *model) {
+ OperandType type1(Type::INT32, {});
+ OperandType type2(Type::TENSOR_INT32, {2});
+ OperandType type5(Type::TENSOR_QUANT8_ASYMM, {2, 2}, 1.0f, 0);
+ // Phase 1, operands
+ auto input0 = model->addOperand(&type5);
+ auto axis = model->addOperand(&type1);
+ auto output = model->addOperand(&type2);
+ // Phase 2, operations
+ static int32_t axis_init[] = {1};
+ model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_ARGMAX, {input0, axis}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input0},
+ {output});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_quant8(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
diff --git a/nn/runtime/test/generated/models/argmax_1_float.model.cpp b/nn/runtime/test/generated/models/argmax_1_float.model.cpp
deleted file mode 100644
index c13b36d..0000000
--- a/nn/runtime/test/generated/models/argmax_1_float.model.cpp
+++ /dev/null
@@ -1,26 +0,0 @@
-// clang-format off
-// Generated file (from: argmax_1_float.mod.py). Do not edit
-void CreateModel(Model *model) {
- OperandType type0(Type::TENSOR_FLOAT32, {2, 2});
- OperandType type1(Type::INT32, {});
- OperandType type2(Type::TENSOR_INT32, {2});
- // Phase 1, operands
- auto input0 = model->addOperand(&type0);
- auto axis = model->addOperand(&type1);
- auto output = model->addOperand(&type2);
- // Phase 2, operations
- static int32_t axis_init[] = {1};
- model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
- model->addOperation(ANEURALNETWORKS_ARGMAX, {input0, axis}, {output});
- // Phase 3, inputs and outputs
- model->identifyInputsAndOutputs(
- {input0},
- {output});
- assert(model->isValid());
-}
-
-inline bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}
-
diff --git a/nn/runtime/test/generated/models/argmax_1_float_relaxed.model.cpp b/nn/runtime/test/generated/models/argmax_1_float_relaxed.model.cpp
deleted file mode 100644
index cbdbc36..0000000
--- a/nn/runtime/test/generated/models/argmax_1_float_relaxed.model.cpp
+++ /dev/null
@@ -1,28 +0,0 @@
-// clang-format off
-// Generated file (from: argmax_1_float_relaxed.mod.py). Do not edit
-void CreateModel(Model *model) {
- OperandType type0(Type::TENSOR_FLOAT32, {2, 2});
- OperandType type1(Type::INT32, {});
- OperandType type2(Type::TENSOR_INT32, {2});
- // Phase 1, operands
- auto input0 = model->addOperand(&type0);
- auto axis = model->addOperand(&type1);
- auto output = model->addOperand(&type2);
- // Phase 2, operations
- static int32_t axis_init[] = {1};
- model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
- model->addOperation(ANEURALNETWORKS_ARGMAX, {input0, axis}, {output});
- // Phase 3, inputs and outputs
- model->identifyInputsAndOutputs(
- {input0},
- {output});
- // Phase 4: set relaxed execution
- model->relaxComputationFloat32toFloat16(true);
- assert(model->isValid());
-}
-
-inline bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}
-
diff --git a/nn/runtime/test/generated/models/argmax_1_int32.model.cpp b/nn/runtime/test/generated/models/argmax_1_int32.model.cpp
deleted file mode 100644
index 4125f1c..0000000
--- a/nn/runtime/test/generated/models/argmax_1_int32.model.cpp
+++ /dev/null
@@ -1,26 +0,0 @@
-// clang-format off
-// Generated file (from: argmax_1_int32.mod.py). Do not edit
-void CreateModel(Model *model) {
- OperandType type0(Type::TENSOR_INT32, {2, 2});
- OperandType type1(Type::INT32, {});
- OperandType type2(Type::TENSOR_INT32, {2});
- // Phase 1, operands
- auto input0 = model->addOperand(&type0);
- auto axis = model->addOperand(&type1);
- auto output = model->addOperand(&type2);
- // Phase 2, operations
- static int32_t axis_init[] = {1};
- model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
- model->addOperation(ANEURALNETWORKS_ARGMAX, {input0, axis}, {output});
- // Phase 3, inputs and outputs
- model->identifyInputsAndOutputs(
- {input0},
- {output});
- assert(model->isValid());
-}
-
-inline bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}
-
diff --git a/nn/runtime/test/generated/models/argmax_1_quant8.model.cpp b/nn/runtime/test/generated/models/argmax_1_quant8.model.cpp
deleted file mode 100644
index de432ad..0000000
--- a/nn/runtime/test/generated/models/argmax_1_quant8.model.cpp
+++ /dev/null
@@ -1,26 +0,0 @@
-// clang-format off
-// Generated file (from: argmax_1_quant8.mod.py). Do not edit
-void CreateModel(Model *model) {
- OperandType type0(Type::TENSOR_QUANT8_ASYMM, {2, 2}, 1.0f, 0);
- OperandType type1(Type::INT32, {});
- OperandType type2(Type::TENSOR_INT32, {2});
- // Phase 1, operands
- auto input0 = model->addOperand(&type0);
- auto axis = model->addOperand(&type1);
- auto output = model->addOperand(&type2);
- // Phase 2, operations
- static int32_t axis_init[] = {1};
- model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
- model->addOperation(ANEURALNETWORKS_ARGMAX, {input0, axis}, {output});
- // Phase 3, inputs and outputs
- model->identifyInputsAndOutputs(
- {input0},
- {output});
- assert(model->isValid());
-}
-
-inline bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}
-
diff --git a/nn/runtime/test/generated/models/argmax_2.model.cpp b/nn/runtime/test/generated/models/argmax_2.model.cpp
new file mode 100644
index 0000000..0d14e55
--- /dev/null
+++ b/nn/runtime/test/generated/models/argmax_2.model.cpp
@@ -0,0 +1,124 @@
+// clang-format off
+// Generated file (from: argmax_2.mod.py). Do not edit
+void CreateModel(Model *model) {
+ OperandType type0(Type::TENSOR_FLOAT32, {2, 2});
+ OperandType type1(Type::INT32, {});
+ OperandType type2(Type::TENSOR_INT32, {2});
+ // Phase 1, operands
+ auto input0 = model->addOperand(&type0);
+ auto axis = model->addOperand(&type1);
+ auto output = model->addOperand(&type2);
+ // Phase 2, operations
+ static int32_t axis_init[] = {0};
+ model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_ARGMAX, {input0, axis}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input0},
+ {output});
+ assert(model->isValid());
+}
+
+inline bool is_ignored(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_relaxed(Model *model) {
+ OperandType type0(Type::TENSOR_FLOAT32, {2, 2});
+ OperandType type1(Type::INT32, {});
+ OperandType type2(Type::TENSOR_INT32, {2});
+ // Phase 1, operands
+ auto input0 = model->addOperand(&type0);
+ auto axis = model->addOperand(&type1);
+ auto output = model->addOperand(&type2);
+ // Phase 2, operations
+ static int32_t axis_init[] = {0};
+ model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_ARGMAX, {input0, axis}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input0},
+ {output});
+ // Phase 4: set relaxed execution
+ model->relaxComputationFloat32toFloat16(true);
+ assert(model->isValid());
+}
+
+inline bool is_ignored_relaxed(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_float16(Model *model) {
+ OperandType type1(Type::INT32, {});
+ OperandType type2(Type::TENSOR_INT32, {2});
+ OperandType type3(Type::TENSOR_FLOAT16, {2, 2});
+ // Phase 1, operands
+ auto input0 = model->addOperand(&type3);
+ auto axis = model->addOperand(&type1);
+ auto output = model->addOperand(&type2);
+ // Phase 2, operations
+ static int32_t axis_init[] = {0};
+ model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_ARGMAX, {input0, axis}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input0},
+ {output});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_int32(Model *model) {
+ OperandType type1(Type::INT32, {});
+ OperandType type2(Type::TENSOR_INT32, {2});
+ OperandType type4(Type::TENSOR_INT32, {2, 2});
+ // Phase 1, operands
+ auto input0 = model->addOperand(&type4);
+ auto axis = model->addOperand(&type1);
+ auto output = model->addOperand(&type2);
+ // Phase 2, operations
+ static int32_t axis_init[] = {0};
+ model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_ARGMAX, {input0, axis}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input0},
+ {output});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_int32(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_quant8(Model *model) {
+ OperandType type1(Type::INT32, {});
+ OperandType type2(Type::TENSOR_INT32, {2});
+ OperandType type5(Type::TENSOR_QUANT8_ASYMM, {2, 2}, 1.0f, 0);
+ // Phase 1, operands
+ auto input0 = model->addOperand(&type5);
+ auto axis = model->addOperand(&type1);
+ auto output = model->addOperand(&type2);
+ // Phase 2, operations
+ static int32_t axis_init[] = {0};
+ model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_ARGMAX, {input0, axis}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input0},
+ {output});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_quant8(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
diff --git a/nn/runtime/test/generated/models/argmax_2_float.model.cpp b/nn/runtime/test/generated/models/argmax_2_float.model.cpp
deleted file mode 100644
index 086eb55..0000000
--- a/nn/runtime/test/generated/models/argmax_2_float.model.cpp
+++ /dev/null
@@ -1,26 +0,0 @@
-// clang-format off
-// Generated file (from: argmax_2_float.mod.py). Do not edit
-void CreateModel(Model *model) {
- OperandType type0(Type::TENSOR_FLOAT32, {2, 2});
- OperandType type1(Type::INT32, {});
- OperandType type2(Type::TENSOR_INT32, {2});
- // Phase 1, operands
- auto input0 = model->addOperand(&type0);
- auto axis = model->addOperand(&type1);
- auto output = model->addOperand(&type2);
- // Phase 2, operations
- static int32_t axis_init[] = {0};
- model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
- model->addOperation(ANEURALNETWORKS_ARGMAX, {input0, axis}, {output});
- // Phase 3, inputs and outputs
- model->identifyInputsAndOutputs(
- {input0},
- {output});
- assert(model->isValid());
-}
-
-inline bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}
-
diff --git a/nn/runtime/test/generated/models/argmax_2_float_relaxed.model.cpp b/nn/runtime/test/generated/models/argmax_2_float_relaxed.model.cpp
deleted file mode 100644
index 0fdf792..0000000
--- a/nn/runtime/test/generated/models/argmax_2_float_relaxed.model.cpp
+++ /dev/null
@@ -1,28 +0,0 @@
-// clang-format off
-// Generated file (from: argmax_2_float_relaxed.mod.py). Do not edit
-void CreateModel(Model *model) {
- OperandType type0(Type::TENSOR_FLOAT32, {2, 2});
- OperandType type1(Type::INT32, {});
- OperandType type2(Type::TENSOR_INT32, {2});
- // Phase 1, operands
- auto input0 = model->addOperand(&type0);
- auto axis = model->addOperand(&type1);
- auto output = model->addOperand(&type2);
- // Phase 2, operations
- static int32_t axis_init[] = {0};
- model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
- model->addOperation(ANEURALNETWORKS_ARGMAX, {input0, axis}, {output});
- // Phase 3, inputs and outputs
- model->identifyInputsAndOutputs(
- {input0},
- {output});
- // Phase 4: set relaxed execution
- model->relaxComputationFloat32toFloat16(true);
- assert(model->isValid());
-}
-
-inline bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}
-
diff --git a/nn/runtime/test/generated/models/argmax_2_int32.model.cpp b/nn/runtime/test/generated/models/argmax_2_int32.model.cpp
deleted file mode 100644
index cd9bc09..0000000
--- a/nn/runtime/test/generated/models/argmax_2_int32.model.cpp
+++ /dev/null
@@ -1,26 +0,0 @@
-// clang-format off
-// Generated file (from: argmax_2_int32.mod.py). Do not edit
-void CreateModel(Model *model) {
- OperandType type0(Type::TENSOR_INT32, {2, 2});
- OperandType type1(Type::INT32, {});
- OperandType type2(Type::TENSOR_INT32, {2});
- // Phase 1, operands
- auto input0 = model->addOperand(&type0);
- auto axis = model->addOperand(&type1);
- auto output = model->addOperand(&type2);
- // Phase 2, operations
- static int32_t axis_init[] = {0};
- model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
- model->addOperation(ANEURALNETWORKS_ARGMAX, {input0, axis}, {output});
- // Phase 3, inputs and outputs
- model->identifyInputsAndOutputs(
- {input0},
- {output});
- assert(model->isValid());
-}
-
-inline bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}
-
diff --git a/nn/runtime/test/generated/models/argmax_2_quant8.model.cpp b/nn/runtime/test/generated/models/argmax_2_quant8.model.cpp
deleted file mode 100644
index 092183b..0000000
--- a/nn/runtime/test/generated/models/argmax_2_quant8.model.cpp
+++ /dev/null
@@ -1,26 +0,0 @@
-// clang-format off
-// Generated file (from: argmax_2_quant8.mod.py). Do not edit
-void CreateModel(Model *model) {
- OperandType type0(Type::TENSOR_QUANT8_ASYMM, {2, 2}, 1.0f, 0);
- OperandType type1(Type::INT32, {});
- OperandType type2(Type::TENSOR_INT32, {2});
- // Phase 1, operands
- auto input0 = model->addOperand(&type0);
- auto axis = model->addOperand(&type1);
- auto output = model->addOperand(&type2);
- // Phase 2, operations
- static int32_t axis_init[] = {0};
- model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
- model->addOperation(ANEURALNETWORKS_ARGMAX, {input0, axis}, {output});
- // Phase 3, inputs and outputs
- model->identifyInputsAndOutputs(
- {input0},
- {output});
- assert(model->isValid());
-}
-
-inline bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}
-
diff --git a/nn/runtime/test/generated/models/argmax_3.model.cpp b/nn/runtime/test/generated/models/argmax_3.model.cpp
new file mode 100644
index 0000000..5e30d83
--- /dev/null
+++ b/nn/runtime/test/generated/models/argmax_3.model.cpp
@@ -0,0 +1,124 @@
+// clang-format off
+// Generated file (from: argmax_3.mod.py). Do not edit
+void CreateModel(Model *model) {
+ OperandType type0(Type::TENSOR_FLOAT32, {2, 2});
+ OperandType type1(Type::INT32, {});
+ OperandType type2(Type::TENSOR_INT32, {2});
+ // Phase 1, operands
+ auto input0 = model->addOperand(&type0);
+ auto axis = model->addOperand(&type1);
+ auto output = model->addOperand(&type2);
+ // Phase 2, operations
+ static int32_t axis_init[] = {-1};
+ model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_ARGMAX, {input0, axis}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input0},
+ {output});
+ assert(model->isValid());
+}
+
+inline bool is_ignored(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_relaxed(Model *model) {
+ OperandType type0(Type::TENSOR_FLOAT32, {2, 2});
+ OperandType type1(Type::INT32, {});
+ OperandType type2(Type::TENSOR_INT32, {2});
+ // Phase 1, operands
+ auto input0 = model->addOperand(&type0);
+ auto axis = model->addOperand(&type1);
+ auto output = model->addOperand(&type2);
+ // Phase 2, operations
+ static int32_t axis_init[] = {-1};
+ model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_ARGMAX, {input0, axis}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input0},
+ {output});
+ // Phase 4: set relaxed execution
+ model->relaxComputationFloat32toFloat16(true);
+ assert(model->isValid());
+}
+
+inline bool is_ignored_relaxed(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_float16(Model *model) {
+ OperandType type1(Type::INT32, {});
+ OperandType type2(Type::TENSOR_INT32, {2});
+ OperandType type3(Type::TENSOR_FLOAT16, {2, 2});
+ // Phase 1, operands
+ auto input0 = model->addOperand(&type3);
+ auto axis = model->addOperand(&type1);
+ auto output = model->addOperand(&type2);
+ // Phase 2, operations
+ static int32_t axis_init[] = {-1};
+ model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_ARGMAX, {input0, axis}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input0},
+ {output});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_int32(Model *model) {
+ OperandType type1(Type::INT32, {});
+ OperandType type2(Type::TENSOR_INT32, {2});
+ OperandType type4(Type::TENSOR_INT32, {2, 2});
+ // Phase 1, operands
+ auto input0 = model->addOperand(&type4);
+ auto axis = model->addOperand(&type1);
+ auto output = model->addOperand(&type2);
+ // Phase 2, operations
+ static int32_t axis_init[] = {-1};
+ model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_ARGMAX, {input0, axis}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input0},
+ {output});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_int32(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_quant8(Model *model) {
+ OperandType type1(Type::INT32, {});
+ OperandType type2(Type::TENSOR_INT32, {2});
+ OperandType type5(Type::TENSOR_QUANT8_ASYMM, {2, 2}, 1.0f, 0);
+ // Phase 1, operands
+ auto input0 = model->addOperand(&type5);
+ auto axis = model->addOperand(&type1);
+ auto output = model->addOperand(&type2);
+ // Phase 2, operations
+ static int32_t axis_init[] = {-1};
+ model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_ARGMAX, {input0, axis}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input0},
+ {output});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_quant8(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
diff --git a/nn/runtime/test/generated/models/argmax_3_float.model.cpp b/nn/runtime/test/generated/models/argmax_3_float.model.cpp
deleted file mode 100644
index 48c2a8b..0000000
--- a/nn/runtime/test/generated/models/argmax_3_float.model.cpp
+++ /dev/null
@@ -1,26 +0,0 @@
-// clang-format off
-// Generated file (from: argmax_3_float.mod.py). Do not edit
-void CreateModel(Model *model) {
- OperandType type0(Type::TENSOR_FLOAT32, {2, 2});
- OperandType type1(Type::INT32, {});
- OperandType type2(Type::TENSOR_INT32, {2});
- // Phase 1, operands
- auto input0 = model->addOperand(&type0);
- auto axis = model->addOperand(&type1);
- auto output = model->addOperand(&type2);
- // Phase 2, operations
- static int32_t axis_init[] = {-1};
- model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
- model->addOperation(ANEURALNETWORKS_ARGMAX, {input0, axis}, {output});
- // Phase 3, inputs and outputs
- model->identifyInputsAndOutputs(
- {input0},
- {output});
- assert(model->isValid());
-}
-
-inline bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}
-
diff --git a/nn/runtime/test/generated/models/argmin_1.model.cpp b/nn/runtime/test/generated/models/argmin_1.model.cpp
new file mode 100644
index 0000000..ae863ce
--- /dev/null
+++ b/nn/runtime/test/generated/models/argmin_1.model.cpp
@@ -0,0 +1,124 @@
+// clang-format off
+// Generated file (from: argmin_1.mod.py). Do not edit
+void CreateModel(Model *model) {
+ OperandType type0(Type::TENSOR_FLOAT32, {2, 2});
+ OperandType type1(Type::INT32, {});
+ OperandType type2(Type::TENSOR_INT32, {2});
+ // Phase 1, operands
+ auto input0 = model->addOperand(&type0);
+ auto axis = model->addOperand(&type1);
+ auto output = model->addOperand(&type2);
+ // Phase 2, operations
+ static int32_t axis_init[] = {1};
+ model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_ARGMIN, {input0, axis}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input0},
+ {output});
+ assert(model->isValid());
+}
+
+inline bool is_ignored(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_relaxed(Model *model) {
+ OperandType type0(Type::TENSOR_FLOAT32, {2, 2});
+ OperandType type1(Type::INT32, {});
+ OperandType type2(Type::TENSOR_INT32, {2});
+ // Phase 1, operands
+ auto input0 = model->addOperand(&type0);
+ auto axis = model->addOperand(&type1);
+ auto output = model->addOperand(&type2);
+ // Phase 2, operations
+ static int32_t axis_init[] = {1};
+ model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_ARGMIN, {input0, axis}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input0},
+ {output});
+ // Phase 4: set relaxed execution
+ model->relaxComputationFloat32toFloat16(true);
+ assert(model->isValid());
+}
+
+inline bool is_ignored_relaxed(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_float16(Model *model) {
+ OperandType type1(Type::INT32, {});
+ OperandType type2(Type::TENSOR_INT32, {2});
+ OperandType type3(Type::TENSOR_FLOAT16, {2, 2});
+ // Phase 1, operands
+ auto input0 = model->addOperand(&type3);
+ auto axis = model->addOperand(&type1);
+ auto output = model->addOperand(&type2);
+ // Phase 2, operations
+ static int32_t axis_init[] = {1};
+ model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_ARGMIN, {input0, axis}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input0},
+ {output});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_int32(Model *model) {
+ OperandType type1(Type::INT32, {});
+ OperandType type2(Type::TENSOR_INT32, {2});
+ OperandType type4(Type::TENSOR_INT32, {2, 2});
+ // Phase 1, operands
+ auto input0 = model->addOperand(&type4);
+ auto axis = model->addOperand(&type1);
+ auto output = model->addOperand(&type2);
+ // Phase 2, operations
+ static int32_t axis_init[] = {1};
+ model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_ARGMIN, {input0, axis}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input0},
+ {output});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_int32(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_quant8(Model *model) {
+ OperandType type1(Type::INT32, {});
+ OperandType type2(Type::TENSOR_INT32, {2});
+ OperandType type5(Type::TENSOR_QUANT8_ASYMM, {2, 2}, 1.0f, 0);
+ // Phase 1, operands
+ auto input0 = model->addOperand(&type5);
+ auto axis = model->addOperand(&type1);
+ auto output = model->addOperand(&type2);
+ // Phase 2, operations
+ static int32_t axis_init[] = {1};
+ model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_ARGMIN, {input0, axis}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input0},
+ {output});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_quant8(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
diff --git a/nn/runtime/test/generated/models/argmin_1_float.model.cpp b/nn/runtime/test/generated/models/argmin_1_float.model.cpp
deleted file mode 100644
index 5a8463f..0000000
--- a/nn/runtime/test/generated/models/argmin_1_float.model.cpp
+++ /dev/null
@@ -1,26 +0,0 @@
-// clang-format off
-// Generated file (from: argmin_1_float.mod.py). Do not edit
-void CreateModel(Model *model) {
- OperandType type0(Type::TENSOR_FLOAT32, {2, 2});
- OperandType type1(Type::INT32, {});
- OperandType type2(Type::TENSOR_INT32, {2});
- // Phase 1, operands
- auto input0 = model->addOperand(&type0);
- auto axis = model->addOperand(&type1);
- auto output = model->addOperand(&type2);
- // Phase 2, operations
- static int32_t axis_init[] = {1};
- model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
- model->addOperation(ANEURALNETWORKS_ARGMIN, {input0, axis}, {output});
- // Phase 3, inputs and outputs
- model->identifyInputsAndOutputs(
- {input0},
- {output});
- assert(model->isValid());
-}
-
-inline bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}
-
diff --git a/nn/runtime/test/generated/models/argmin_1_float_relaxed.model.cpp b/nn/runtime/test/generated/models/argmin_1_float_relaxed.model.cpp
deleted file mode 100644
index ce9b2ae..0000000
--- a/nn/runtime/test/generated/models/argmin_1_float_relaxed.model.cpp
+++ /dev/null
@@ -1,28 +0,0 @@
-// clang-format off
-// Generated file (from: argmin_1_float_relaxed.mod.py). Do not edit
-void CreateModel(Model *model) {
- OperandType type0(Type::TENSOR_FLOAT32, {2, 2});
- OperandType type1(Type::INT32, {});
- OperandType type2(Type::TENSOR_INT32, {2});
- // Phase 1, operands
- auto input0 = model->addOperand(&type0);
- auto axis = model->addOperand(&type1);
- auto output = model->addOperand(&type2);
- // Phase 2, operations
- static int32_t axis_init[] = {1};
- model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
- model->addOperation(ANEURALNETWORKS_ARGMIN, {input0, axis}, {output});
- // Phase 3, inputs and outputs
- model->identifyInputsAndOutputs(
- {input0},
- {output});
- // Phase 4: set relaxed execution
- model->relaxComputationFloat32toFloat16(true);
- assert(model->isValid());
-}
-
-inline bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}
-
diff --git a/nn/runtime/test/generated/models/argmin_1_int32.model.cpp b/nn/runtime/test/generated/models/argmin_1_int32.model.cpp
deleted file mode 100644
index 146c3d9..0000000
--- a/nn/runtime/test/generated/models/argmin_1_int32.model.cpp
+++ /dev/null
@@ -1,26 +0,0 @@
-// clang-format off
-// Generated file (from: argmin_1_int32.mod.py). Do not edit
-void CreateModel(Model *model) {
- OperandType type0(Type::TENSOR_INT32, {2, 2});
- OperandType type1(Type::INT32, {});
- OperandType type2(Type::TENSOR_INT32, {2});
- // Phase 1, operands
- auto input0 = model->addOperand(&type0);
- auto axis = model->addOperand(&type1);
- auto output = model->addOperand(&type2);
- // Phase 2, operations
- static int32_t axis_init[] = {1};
- model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
- model->addOperation(ANEURALNETWORKS_ARGMIN, {input0, axis}, {output});
- // Phase 3, inputs and outputs
- model->identifyInputsAndOutputs(
- {input0},
- {output});
- assert(model->isValid());
-}
-
-inline bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}
-
diff --git a/nn/runtime/test/generated/models/argmin_1_quant8.model.cpp b/nn/runtime/test/generated/models/argmin_1_quant8.model.cpp
deleted file mode 100644
index aaf7180..0000000
--- a/nn/runtime/test/generated/models/argmin_1_quant8.model.cpp
+++ /dev/null
@@ -1,26 +0,0 @@
-// clang-format off
-// Generated file (from: argmin_1_quant8.mod.py). Do not edit
-void CreateModel(Model *model) {
- OperandType type0(Type::TENSOR_QUANT8_ASYMM, {2, 2}, 1.0f, 0);
- OperandType type1(Type::INT32, {});
- OperandType type2(Type::TENSOR_INT32, {2});
- // Phase 1, operands
- auto input0 = model->addOperand(&type0);
- auto axis = model->addOperand(&type1);
- auto output = model->addOperand(&type2);
- // Phase 2, operations
- static int32_t axis_init[] = {1};
- model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
- model->addOperation(ANEURALNETWORKS_ARGMIN, {input0, axis}, {output});
- // Phase 3, inputs and outputs
- model->identifyInputsAndOutputs(
- {input0},
- {output});
- assert(model->isValid());
-}
-
-inline bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}
-
diff --git a/nn/runtime/test/generated/models/argmin_2.model.cpp b/nn/runtime/test/generated/models/argmin_2.model.cpp
new file mode 100644
index 0000000..7be0582
--- /dev/null
+++ b/nn/runtime/test/generated/models/argmin_2.model.cpp
@@ -0,0 +1,124 @@
+// clang-format off
+// Generated file (from: argmin_2.mod.py). Do not edit
+void CreateModel(Model *model) {
+ OperandType type0(Type::TENSOR_FLOAT32, {2, 2});
+ OperandType type1(Type::INT32, {});
+ OperandType type2(Type::TENSOR_INT32, {2});
+ // Phase 1, operands
+ auto input0 = model->addOperand(&type0);
+ auto axis = model->addOperand(&type1);
+ auto output = model->addOperand(&type2);
+ // Phase 2, operations
+ static int32_t axis_init[] = {0};
+ model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_ARGMIN, {input0, axis}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input0},
+ {output});
+ assert(model->isValid());
+}
+
+inline bool is_ignored(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_relaxed(Model *model) {
+ OperandType type0(Type::TENSOR_FLOAT32, {2, 2});
+ OperandType type1(Type::INT32, {});
+ OperandType type2(Type::TENSOR_INT32, {2});
+ // Phase 1, operands
+ auto input0 = model->addOperand(&type0);
+ auto axis = model->addOperand(&type1);
+ auto output = model->addOperand(&type2);
+ // Phase 2, operations
+ static int32_t axis_init[] = {0};
+ model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_ARGMIN, {input0, axis}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input0},
+ {output});
+ // Phase 4: set relaxed execution
+ model->relaxComputationFloat32toFloat16(true);
+ assert(model->isValid());
+}
+
+inline bool is_ignored_relaxed(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_float16(Model *model) {
+ OperandType type1(Type::INT32, {});
+ OperandType type2(Type::TENSOR_INT32, {2});
+ OperandType type3(Type::TENSOR_FLOAT16, {2, 2});
+ // Phase 1, operands
+ auto input0 = model->addOperand(&type3);
+ auto axis = model->addOperand(&type1);
+ auto output = model->addOperand(&type2);
+ // Phase 2, operations
+ static int32_t axis_init[] = {0};
+ model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_ARGMIN, {input0, axis}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input0},
+ {output});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_int32(Model *model) {
+ OperandType type1(Type::INT32, {});
+ OperandType type2(Type::TENSOR_INT32, {2});
+ OperandType type4(Type::TENSOR_INT32, {2, 2});
+ // Phase 1, operands
+ auto input0 = model->addOperand(&type4);
+ auto axis = model->addOperand(&type1);
+ auto output = model->addOperand(&type2);
+ // Phase 2, operations
+ static int32_t axis_init[] = {0};
+ model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_ARGMIN, {input0, axis}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input0},
+ {output});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_int32(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_quant8(Model *model) {
+ OperandType type1(Type::INT32, {});
+ OperandType type2(Type::TENSOR_INT32, {2});
+ OperandType type5(Type::TENSOR_QUANT8_ASYMM, {2, 2}, 1.0f, 0);
+ // Phase 1, operands
+ auto input0 = model->addOperand(&type5);
+ auto axis = model->addOperand(&type1);
+ auto output = model->addOperand(&type2);
+ // Phase 2, operations
+ static int32_t axis_init[] = {0};
+ model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_ARGMIN, {input0, axis}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input0},
+ {output});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_quant8(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
diff --git a/nn/runtime/test/generated/models/argmin_2_float.model.cpp b/nn/runtime/test/generated/models/argmin_2_float.model.cpp
deleted file mode 100644
index 213dfdd..0000000
--- a/nn/runtime/test/generated/models/argmin_2_float.model.cpp
+++ /dev/null
@@ -1,26 +0,0 @@
-// clang-format off
-// Generated file (from: argmin_2_float.mod.py). Do not edit
-void CreateModel(Model *model) {
- OperandType type0(Type::TENSOR_FLOAT32, {2, 2});
- OperandType type1(Type::INT32, {});
- OperandType type2(Type::TENSOR_INT32, {2});
- // Phase 1, operands
- auto input0 = model->addOperand(&type0);
- auto axis = model->addOperand(&type1);
- auto output = model->addOperand(&type2);
- // Phase 2, operations
- static int32_t axis_init[] = {0};
- model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
- model->addOperation(ANEURALNETWORKS_ARGMIN, {input0, axis}, {output});
- // Phase 3, inputs and outputs
- model->identifyInputsAndOutputs(
- {input0},
- {output});
- assert(model->isValid());
-}
-
-inline bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}
-
diff --git a/nn/runtime/test/generated/models/argmin_2_float_relaxed.model.cpp b/nn/runtime/test/generated/models/argmin_2_float_relaxed.model.cpp
deleted file mode 100644
index 3274a70..0000000
--- a/nn/runtime/test/generated/models/argmin_2_float_relaxed.model.cpp
+++ /dev/null
@@ -1,28 +0,0 @@
-// clang-format off
-// Generated file (from: argmin_2_float_relaxed.mod.py). Do not edit
-void CreateModel(Model *model) {
- OperandType type0(Type::TENSOR_FLOAT32, {2, 2});
- OperandType type1(Type::INT32, {});
- OperandType type2(Type::TENSOR_INT32, {2});
- // Phase 1, operands
- auto input0 = model->addOperand(&type0);
- auto axis = model->addOperand(&type1);
- auto output = model->addOperand(&type2);
- // Phase 2, operations
- static int32_t axis_init[] = {0};
- model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
- model->addOperation(ANEURALNETWORKS_ARGMIN, {input0, axis}, {output});
- // Phase 3, inputs and outputs
- model->identifyInputsAndOutputs(
- {input0},
- {output});
- // Phase 4: set relaxed execution
- model->relaxComputationFloat32toFloat16(true);
- assert(model->isValid());
-}
-
-inline bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}
-
diff --git a/nn/runtime/test/generated/models/argmin_2_int32.model.cpp b/nn/runtime/test/generated/models/argmin_2_int32.model.cpp
deleted file mode 100644
index af43892..0000000
--- a/nn/runtime/test/generated/models/argmin_2_int32.model.cpp
+++ /dev/null
@@ -1,26 +0,0 @@
-// clang-format off
-// Generated file (from: argmin_2_int32.mod.py). Do not edit
-void CreateModel(Model *model) {
- OperandType type0(Type::TENSOR_INT32, {2, 2});
- OperandType type1(Type::INT32, {});
- OperandType type2(Type::TENSOR_INT32, {2});
- // Phase 1, operands
- auto input0 = model->addOperand(&type0);
- auto axis = model->addOperand(&type1);
- auto output = model->addOperand(&type2);
- // Phase 2, operations
- static int32_t axis_init[] = {0};
- model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
- model->addOperation(ANEURALNETWORKS_ARGMIN, {input0, axis}, {output});
- // Phase 3, inputs and outputs
- model->identifyInputsAndOutputs(
- {input0},
- {output});
- assert(model->isValid());
-}
-
-inline bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}
-
diff --git a/nn/runtime/test/generated/models/argmin_2_quant8.model.cpp b/nn/runtime/test/generated/models/argmin_2_quant8.model.cpp
deleted file mode 100644
index 16804f4..0000000
--- a/nn/runtime/test/generated/models/argmin_2_quant8.model.cpp
+++ /dev/null
@@ -1,26 +0,0 @@
-// clang-format off
-// Generated file (from: argmin_2_quant8.mod.py). Do not edit
-void CreateModel(Model *model) {
- OperandType type0(Type::TENSOR_QUANT8_ASYMM, {2, 2}, 1.0f, 0);
- OperandType type1(Type::INT32, {});
- OperandType type2(Type::TENSOR_INT32, {2});
- // Phase 1, operands
- auto input0 = model->addOperand(&type0);
- auto axis = model->addOperand(&type1);
- auto output = model->addOperand(&type2);
- // Phase 2, operations
- static int32_t axis_init[] = {0};
- model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
- model->addOperation(ANEURALNETWORKS_ARGMIN, {input0, axis}, {output});
- // Phase 3, inputs and outputs
- model->identifyInputsAndOutputs(
- {input0},
- {output});
- assert(model->isValid());
-}
-
-inline bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}
-
diff --git a/nn/runtime/test/generated/models/argmin_3.model.cpp b/nn/runtime/test/generated/models/argmin_3.model.cpp
new file mode 100644
index 0000000..101f3c8
--- /dev/null
+++ b/nn/runtime/test/generated/models/argmin_3.model.cpp
@@ -0,0 +1,124 @@
+// clang-format off
+// Generated file (from: argmin_3.mod.py). Do not edit
+void CreateModel(Model *model) {
+ OperandType type0(Type::TENSOR_FLOAT32, {2, 2});
+ OperandType type1(Type::INT32, {});
+ OperandType type2(Type::TENSOR_INT32, {2});
+ // Phase 1, operands
+ auto input0 = model->addOperand(&type0);
+ auto axis = model->addOperand(&type1);
+ auto output = model->addOperand(&type2);
+ // Phase 2, operations
+ static int32_t axis_init[] = {-1};
+ model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_ARGMIN, {input0, axis}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input0},
+ {output});
+ assert(model->isValid());
+}
+
+inline bool is_ignored(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_relaxed(Model *model) {
+ OperandType type0(Type::TENSOR_FLOAT32, {2, 2});
+ OperandType type1(Type::INT32, {});
+ OperandType type2(Type::TENSOR_INT32, {2});
+ // Phase 1, operands
+ auto input0 = model->addOperand(&type0);
+ auto axis = model->addOperand(&type1);
+ auto output = model->addOperand(&type2);
+ // Phase 2, operations
+ static int32_t axis_init[] = {-1};
+ model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_ARGMIN, {input0, axis}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input0},
+ {output});
+ // Phase 4: set relaxed execution
+ model->relaxComputationFloat32toFloat16(true);
+ assert(model->isValid());
+}
+
+inline bool is_ignored_relaxed(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_float16(Model *model) {
+ OperandType type1(Type::INT32, {});
+ OperandType type2(Type::TENSOR_INT32, {2});
+ OperandType type3(Type::TENSOR_FLOAT16, {2, 2});
+ // Phase 1, operands
+ auto input0 = model->addOperand(&type3);
+ auto axis = model->addOperand(&type1);
+ auto output = model->addOperand(&type2);
+ // Phase 2, operations
+ static int32_t axis_init[] = {-1};
+ model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_ARGMIN, {input0, axis}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input0},
+ {output});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_int32(Model *model) {
+ OperandType type1(Type::INT32, {});
+ OperandType type2(Type::TENSOR_INT32, {2});
+ OperandType type4(Type::TENSOR_INT32, {2, 2});
+ // Phase 1, operands
+ auto input0 = model->addOperand(&type4);
+ auto axis = model->addOperand(&type1);
+ auto output = model->addOperand(&type2);
+ // Phase 2, operations
+ static int32_t axis_init[] = {-1};
+ model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_ARGMIN, {input0, axis}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input0},
+ {output});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_int32(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_quant8(Model *model) {
+ OperandType type1(Type::INT32, {});
+ OperandType type2(Type::TENSOR_INT32, {2});
+ OperandType type5(Type::TENSOR_QUANT8_ASYMM, {2, 2}, 1.0f, 0);
+ // Phase 1, operands
+ auto input0 = model->addOperand(&type5);
+ auto axis = model->addOperand(&type1);
+ auto output = model->addOperand(&type2);
+ // Phase 2, operations
+ static int32_t axis_init[] = {-1};
+ model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_ARGMIN, {input0, axis}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input0},
+ {output});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_quant8(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
diff --git a/nn/runtime/test/generated/models/argmin_3_float.model.cpp b/nn/runtime/test/generated/models/argmin_3_float.model.cpp
deleted file mode 100644
index 86231d8..0000000
--- a/nn/runtime/test/generated/models/argmin_3_float.model.cpp
+++ /dev/null
@@ -1,26 +0,0 @@
-// clang-format off
-// Generated file (from: argmin_3_float.mod.py). Do not edit
-void CreateModel(Model *model) {
- OperandType type0(Type::TENSOR_FLOAT32, {2, 2});
- OperandType type1(Type::INT32, {});
- OperandType type2(Type::TENSOR_INT32, {2});
- // Phase 1, operands
- auto input0 = model->addOperand(&type0);
- auto axis = model->addOperand(&type1);
- auto output = model->addOperand(&type2);
- // Phase 2, operations
- static int32_t axis_init[] = {-1};
- model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
- model->addOperation(ANEURALNETWORKS_ARGMIN, {input0, axis}, {output});
- // Phase 3, inputs and outputs
- model->identifyInputsAndOutputs(
- {input0},
- {output});
- assert(model->isValid());
-}
-
-inline bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}
-
diff --git a/nn/runtime/test/generated/models/batch_to_space_v1_2.model.cpp b/nn/runtime/test/generated/models/batch_to_space_v1_2.model.cpp
index cbdbee9..cb1615b 100644
--- a/nn/runtime/test/generated/models/batch_to_space_v1_2.model.cpp
+++ b/nn/runtime/test/generated/models/batch_to_space_v1_2.model.cpp
@@ -58,11 +58,11 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_nhwc_quant8(Model *model) {
+void CreateModel_nhwc_float16(Model *model) {
OperandType type0(Type::BOOL, {});
OperandType type3(Type::TENSOR_INT32, {2});
- OperandType type6(Type::TENSOR_QUANT8_ASYMM, {4, 1, 1, 2}, 0.1f, 0);
- OperandType type7(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.1f, 0);
+ OperandType type6(Type::TENSOR_FLOAT16, {4, 1, 1, 2});
+ OperandType type7(Type::TENSOR_FLOAT16, {1, 2, 2, 2});
// Phase 1, operands
auto op1 = model->addOperand(&type6);
auto param = model->addOperand(&type3);
@@ -81,6 +81,34 @@
assert(model->isValid());
}
+inline bool is_ignored_nhwc_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nhwc_quant8(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type3(Type::TENSOR_INT32, {2});
+ OperandType type8(Type::TENSOR_QUANT8_ASYMM, {4, 1, 1, 2}, 0.1f, 0);
+ OperandType type9(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.1f, 0);
+ // Phase 1, operands
+ auto op1 = model->addOperand(&type8);
+ auto param = model->addOperand(&type3);
+ auto layout = model->addOperand(&type0);
+ auto op4 = model->addOperand(&type9);
+ // Phase 2, operations
+ static int32_t param_init[] = {2, 2};
+ model->setOperandValue(param, param_init, sizeof(int32_t) * 2);
+ static bool layout_init[] = {false};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_BATCH_TO_SPACE_ND, {op1, param, layout}, {op4});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op1},
+ {op4});
+ assert(model->isValid());
+}
+
inline bool is_ignored_nhwc_quant8(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
@@ -88,11 +116,11 @@
void CreateModel_nchw(Model *model) {
OperandType type0(Type::BOOL, {});
+ OperandType type10(Type::TENSOR_FLOAT32, {4, 2, 1, 1});
OperandType type2(Type::TENSOR_FLOAT32, {1, 2, 2, 2});
OperandType type3(Type::TENSOR_INT32, {2});
- OperandType type8(Type::TENSOR_FLOAT32, {4, 2, 1, 1});
// Phase 1, operands
- auto op1 = model->addOperand(&type8);
+ auto op1 = model->addOperand(&type10);
auto param = model->addOperand(&type3);
auto layout = model->addOperand(&type0);
auto op4 = model->addOperand(&type2);
@@ -116,11 +144,11 @@
void CreateModel_nchw_relaxed(Model *model) {
OperandType type0(Type::BOOL, {});
+ OperandType type10(Type::TENSOR_FLOAT32, {4, 2, 1, 1});
OperandType type2(Type::TENSOR_FLOAT32, {1, 2, 2, 2});
OperandType type3(Type::TENSOR_INT32, {2});
- OperandType type8(Type::TENSOR_FLOAT32, {4, 2, 1, 1});
// Phase 1, operands
- auto op1 = model->addOperand(&type8);
+ auto op1 = model->addOperand(&type10);
auto param = model->addOperand(&type3);
auto layout = model->addOperand(&type0);
auto op4 = model->addOperand(&type2);
@@ -144,13 +172,13 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_nchw_quant8(Model *model) {
+void CreateModel_nchw_float16(Model *model) {
OperandType type0(Type::BOOL, {});
+ OperandType type11(Type::TENSOR_FLOAT16, {4, 2, 1, 1});
OperandType type3(Type::TENSOR_INT32, {2});
- OperandType type7(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.1f, 0);
- OperandType type9(Type::TENSOR_QUANT8_ASYMM, {4, 2, 1, 1}, 0.1f, 0);
+ OperandType type7(Type::TENSOR_FLOAT16, {1, 2, 2, 2});
// Phase 1, operands
- auto op1 = model->addOperand(&type9);
+ auto op1 = model->addOperand(&type11);
auto param = model->addOperand(&type3);
auto layout = model->addOperand(&type0);
auto op4 = model->addOperand(&type7);
@@ -167,6 +195,34 @@
assert(model->isValid());
}
+inline bool is_ignored_nchw_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nchw_quant8(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type12(Type::TENSOR_QUANT8_ASYMM, {4, 2, 1, 1}, 0.1f, 0);
+ OperandType type3(Type::TENSOR_INT32, {2});
+ OperandType type9(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.1f, 0);
+ // Phase 1, operands
+ auto op1 = model->addOperand(&type12);
+ auto param = model->addOperand(&type3);
+ auto layout = model->addOperand(&type0);
+ auto op4 = model->addOperand(&type9);
+ // Phase 2, operations
+ static int32_t param_init[] = {2, 2};
+ model->setOperandValue(param, param_init, sizeof(int32_t) * 2);
+ static bool layout_init[] = {true};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_BATCH_TO_SPACE_ND, {op1, param, layout}, {op4});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op1},
+ {op4});
+ assert(model->isValid());
+}
+
inline bool is_ignored_nchw_quant8(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
@@ -230,16 +286,44 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_nhwc_quant8_2(Model *model) {
+void CreateModel_nhwc_float16_2(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type10(Type::TENSOR_QUANT8_ASYMM, {4, 2, 2, 1}, 0.5f, 128);
- OperandType type11(Type::TENSOR_QUANT8_ASYMM, {1, 4, 4, 1}, 0.5f, 128);
+ OperandType type13(Type::TENSOR_FLOAT16, {4, 2, 2, 1});
+ OperandType type14(Type::TENSOR_FLOAT16, {1, 4, 4, 1});
OperandType type3(Type::TENSOR_INT32, {2});
// Phase 1, operands
- auto op11 = model->addOperand(&type10);
+ auto op11 = model->addOperand(&type13);
auto param1 = model->addOperand(&type3);
auto layout = model->addOperand(&type0);
- auto op41 = model->addOperand(&type11);
+ auto op41 = model->addOperand(&type14);
+ // Phase 2, operations
+ static int32_t param1_init[] = {2, 2};
+ model->setOperandValue(param1, param1_init, sizeof(int32_t) * 2);
+ static bool layout_init[] = {false};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_BATCH_TO_SPACE_ND, {op11, param1, layout}, {op41});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op11},
+ {op41});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nhwc_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nhwc_quant8_2(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type15(Type::TENSOR_QUANT8_ASYMM, {4, 2, 2, 1}, 0.5f, 128);
+ OperandType type16(Type::TENSOR_QUANT8_ASYMM, {1, 4, 4, 1}, 0.5f, 128);
+ OperandType type3(Type::TENSOR_INT32, {2});
+ // Phase 1, operands
+ auto op11 = model->addOperand(&type15);
+ auto param1 = model->addOperand(&type3);
+ auto layout = model->addOperand(&type0);
+ auto op41 = model->addOperand(&type16);
// Phase 2, operations
static int32_t param1_init[] = {2, 2};
model->setOperandValue(param1, param1_init, sizeof(int32_t) * 2);
@@ -260,14 +344,14 @@
void CreateModel_nchw_2(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type12(Type::TENSOR_FLOAT32, {4, 1, 2, 2});
- OperandType type13(Type::TENSOR_FLOAT32, {1, 1, 4, 4});
+ OperandType type17(Type::TENSOR_FLOAT32, {4, 1, 2, 2});
+ OperandType type18(Type::TENSOR_FLOAT32, {1, 1, 4, 4});
OperandType type3(Type::TENSOR_INT32, {2});
// Phase 1, operands
- auto op11 = model->addOperand(&type12);
+ auto op11 = model->addOperand(&type17);
auto param1 = model->addOperand(&type3);
auto layout = model->addOperand(&type0);
- auto op41 = model->addOperand(&type13);
+ auto op41 = model->addOperand(&type18);
// Phase 2, operations
static int32_t param1_init[] = {2, 2};
model->setOperandValue(param1, param1_init, sizeof(int32_t) * 2);
@@ -288,14 +372,14 @@
void CreateModel_nchw_relaxed_2(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type12(Type::TENSOR_FLOAT32, {4, 1, 2, 2});
- OperandType type13(Type::TENSOR_FLOAT32, {1, 1, 4, 4});
+ OperandType type17(Type::TENSOR_FLOAT32, {4, 1, 2, 2});
+ OperandType type18(Type::TENSOR_FLOAT32, {1, 1, 4, 4});
OperandType type3(Type::TENSOR_INT32, {2});
// Phase 1, operands
- auto op11 = model->addOperand(&type12);
+ auto op11 = model->addOperand(&type17);
auto param1 = model->addOperand(&type3);
auto layout = model->addOperand(&type0);
- auto op41 = model->addOperand(&type13);
+ auto op41 = model->addOperand(&type18);
// Phase 2, operations
static int32_t param1_init[] = {2, 2};
model->setOperandValue(param1, param1_init, sizeof(int32_t) * 2);
@@ -316,16 +400,44 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_nchw_quant8_2(Model *model) {
+void CreateModel_nchw_float16_2(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type14(Type::TENSOR_QUANT8_ASYMM, {4, 1, 2, 2}, 0.5f, 128);
- OperandType type15(Type::TENSOR_QUANT8_ASYMM, {1, 1, 4, 4}, 0.5f, 128);
+ OperandType type19(Type::TENSOR_FLOAT16, {4, 1, 2, 2});
+ OperandType type20(Type::TENSOR_FLOAT16, {1, 1, 4, 4});
OperandType type3(Type::TENSOR_INT32, {2});
// Phase 1, operands
- auto op11 = model->addOperand(&type14);
+ auto op11 = model->addOperand(&type19);
auto param1 = model->addOperand(&type3);
auto layout = model->addOperand(&type0);
- auto op41 = model->addOperand(&type15);
+ auto op41 = model->addOperand(&type20);
+ // Phase 2, operations
+ static int32_t param1_init[] = {2, 2};
+ model->setOperandValue(param1, param1_init, sizeof(int32_t) * 2);
+ static bool layout_init[] = {true};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_BATCH_TO_SPACE_ND, {op11, param1, layout}, {op41});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op11},
+ {op41});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nchw_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nchw_quant8_2(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type21(Type::TENSOR_QUANT8_ASYMM, {4, 1, 2, 2}, 0.5f, 128);
+ OperandType type22(Type::TENSOR_QUANT8_ASYMM, {1, 1, 4, 4}, 0.5f, 128);
+ OperandType type3(Type::TENSOR_INT32, {2});
+ // Phase 1, operands
+ auto op11 = model->addOperand(&type21);
+ auto param1 = model->addOperand(&type3);
+ auto layout = model->addOperand(&type0);
+ auto op41 = model->addOperand(&type22);
// Phase 2, operations
static int32_t param1_init[] = {2, 2};
model->setOperandValue(param1, param1_init, sizeof(int32_t) * 2);
diff --git a/nn/runtime/test/generated/models/concat_float16_1.model.cpp b/nn/runtime/test/generated/models/concat_float16_1.model.cpp
new file mode 100644
index 0000000..ea11bf6
--- /dev/null
+++ b/nn/runtime/test/generated/models/concat_float16_1.model.cpp
@@ -0,0 +1,27 @@
+// clang-format off
+// Generated file (from: concat_float16_1.mod.py). Do not edit
+void CreateModel(Model *model) {
+ OperandType type0(Type::TENSOR_FLOAT16, {2, 3});
+ OperandType type1(Type::INT32, {});
+ OperandType type2(Type::TENSOR_FLOAT16, {4, 3});
+ // Phase 1, operands
+ auto op1 = model->addOperand(&type0);
+ auto op2 = model->addOperand(&type0);
+ auto axis0 = model->addOperand(&type1);
+ auto result = model->addOperand(&type2);
+ // Phase 2, operations
+ static int32_t axis0_init[] = {0};
+ model->setOperandValue(axis0, axis0_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_CONCATENATION, {op1, op2, axis0}, {result});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op1, op2},
+ {result});
+ assert(model->isValid());
+}
+
+inline bool is_ignored(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
diff --git a/nn/runtime/test/generated/models/concat_float16_2.model.cpp b/nn/runtime/test/generated/models/concat_float16_2.model.cpp
new file mode 100644
index 0000000..be5d0d8
--- /dev/null
+++ b/nn/runtime/test/generated/models/concat_float16_2.model.cpp
@@ -0,0 +1,28 @@
+// clang-format off
+// Generated file (from: concat_float16_2.mod.py). Do not edit
+void CreateModel(Model *model) {
+ OperandType type0(Type::TENSOR_FLOAT16, {52, 230});
+ OperandType type1(Type::TENSOR_FLOAT16, {40, 230});
+ OperandType type2(Type::INT32, {});
+ OperandType type3(Type::TENSOR_FLOAT16, {92, 230});
+ // Phase 1, operands
+ auto input1 = model->addOperand(&type0);
+ auto input2 = model->addOperand(&type1);
+ auto axis0 = model->addOperand(&type2);
+ auto output = model->addOperand(&type3);
+ // Phase 2, operations
+ static int32_t axis0_init[] = {0};
+ model->setOperandValue(axis0, axis0_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_CONCATENATION, {input1, input2, axis0}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input1, input2},
+ {output});
+ assert(model->isValid());
+}
+
+inline bool is_ignored(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
diff --git a/nn/runtime/test/generated/models/concat_float16_3.model.cpp b/nn/runtime/test/generated/models/concat_float16_3.model.cpp
new file mode 100644
index 0000000..8556ad6
--- /dev/null
+++ b/nn/runtime/test/generated/models/concat_float16_3.model.cpp
@@ -0,0 +1,28 @@
+// clang-format off
+// Generated file (from: concat_float16_3.mod.py). Do not edit
+void CreateModel(Model *model) {
+ OperandType type0(Type::TENSOR_FLOAT16, {212, 60});
+ OperandType type1(Type::TENSOR_FLOAT16, {212, 30});
+ OperandType type2(Type::INT32, {});
+ OperandType type3(Type::TENSOR_FLOAT16, {212, 90});
+ // Phase 1, operands
+ auto input1 = model->addOperand(&type0);
+ auto input2 = model->addOperand(&type1);
+ auto axis1 = model->addOperand(&type2);
+ auto output = model->addOperand(&type3);
+ // Phase 2, operations
+ static int32_t axis1_init[] = {1};
+ model->setOperandValue(axis1, axis1_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_CONCATENATION, {input1, input2, axis1}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input1, input2},
+ {output});
+ assert(model->isValid());
+}
+
+inline bool is_ignored(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
diff --git a/nn/runtime/test/generated/models/concat_mixed_quant.model.cpp b/nn/runtime/test/generated/models/concat_mixed_quant.model.cpp
new file mode 100644
index 0000000..0eac8da
--- /dev/null
+++ b/nn/runtime/test/generated/models/concat_mixed_quant.model.cpp
@@ -0,0 +1,62 @@
+// clang-format off
+// Generated file (from: concat_mixed_quant.mod.py). Do not edit
+void CreateModel_quant8(Model *model) {
+ OperandType type2(Type::INT32, {});
+ OperandType type3(Type::TENSOR_QUANT8_ASYMM, {2, 1, 2}, 0.084f, 127);
+ OperandType type4(Type::TENSOR_QUANT8_ASYMM, {2, 1, 2}, 0.05f, 0);
+ OperandType type5(Type::TENSOR_QUANT8_ASYMM, {2, 1, 2}, 0.089f, 123);
+ OperandType type6(Type::TENSOR_QUANT8_ASYMM, {2, 1, 2}, 0.029f, 0);
+ OperandType type7(Type::TENSOR_QUANT8_ASYMM, {2, 1, 8}, 0.1f, 127);
+ // Phase 1, operands
+ auto input0 = model->addOperand(&type3);
+ auto input1 = model->addOperand(&type4);
+ auto input2 = model->addOperand(&type5);
+ auto input3 = model->addOperand(&type6);
+ auto param = model->addOperand(&type2);
+ auto output0 = model->addOperand(&type7);
+ // Phase 2, operations
+ static int32_t param_init[] = {2};
+ model->setOperandValue(param, param_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_CONCATENATION, {input0, input1, input2, input3, param}, {output0});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input0, input1, input2, input3},
+ {output0});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_quant8(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_quant8_2(Model *model) {
+ OperandType type2(Type::INT32, {});
+ OperandType type3(Type::TENSOR_QUANT8_ASYMM, {2, 1, 2}, 0.084f, 127);
+ OperandType type4(Type::TENSOR_QUANT8_ASYMM, {2, 1, 2}, 0.05f, 0);
+ OperandType type5(Type::TENSOR_QUANT8_ASYMM, {2, 1, 2}, 0.089f, 123);
+ OperandType type6(Type::TENSOR_QUANT8_ASYMM, {2, 1, 2}, 0.029f, 0);
+ OperandType type8(Type::TENSOR_QUANT8_ASYMM, {2, 1, 8}, 0.0078125f, 127);
+ // Phase 1, operands
+ auto input0 = model->addOperand(&type3);
+ auto input1 = model->addOperand(&type4);
+ auto input2 = model->addOperand(&type5);
+ auto input3 = model->addOperand(&type6);
+ auto param = model->addOperand(&type2);
+ auto output0 = model->addOperand(&type8);
+ // Phase 2, operations
+ static int32_t param_init[] = {2};
+ model->setOperandValue(param, param_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_CONCATENATION, {input0, input1, input2, input3, param}, {output0});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input0, input1, input2, input3},
+ {output0});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_quant8_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
diff --git a/nn/runtime/test/generated/models/depth_to_space_v1_2.model.cpp b/nn/runtime/test/generated/models/depth_to_space_v1_2.model.cpp
index 5e8aa29..7c0f2b1 100644
--- a/nn/runtime/test/generated/models/depth_to_space_v1_2.model.cpp
+++ b/nn/runtime/test/generated/models/depth_to_space_v1_2.model.cpp
@@ -58,11 +58,11 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_nhwc_quant8(Model *model) {
+void CreateModel_nhwc_float16(Model *model) {
OperandType type0(Type::BOOL, {});
OperandType type3(Type::INT32, {});
- OperandType type8(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 8}, 0.1f, 0);
- OperandType type9(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.1f, 0);
+ OperandType type8(Type::TENSOR_FLOAT16, {1, 1, 1, 8});
+ OperandType type9(Type::TENSOR_FLOAT16, {1, 2, 2, 2});
// Phase 1, operands
auto op1 = model->addOperand(&type8);
auto param = model->addOperand(&type3);
@@ -81,6 +81,34 @@
assert(model->isValid());
}
+inline bool is_ignored_nhwc_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nhwc_quant8(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type10(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 8}, 0.1f, 0);
+ OperandType type11(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.1f, 0);
+ OperandType type3(Type::INT32, {});
+ // Phase 1, operands
+ auto op1 = model->addOperand(&type10);
+ auto param = model->addOperand(&type3);
+ auto layout = model->addOperand(&type0);
+ auto op4 = model->addOperand(&type11);
+ // Phase 2, operations
+ static int32_t param_init[] = {2};
+ model->setOperandValue(param, param_init, sizeof(int32_t) * 1);
+ static bool layout_init[] = {false};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {op1, param, layout}, {op4});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op1},
+ {op4});
+ assert(model->isValid());
+}
+
inline bool is_ignored_nhwc_quant8(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
@@ -88,11 +116,11 @@
void CreateModel_nchw(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type10(Type::TENSOR_FLOAT32, {1, 8, 1, 1});
+ OperandType type12(Type::TENSOR_FLOAT32, {1, 8, 1, 1});
OperandType type2(Type::TENSOR_FLOAT32, {1, 2, 2, 2});
OperandType type3(Type::INT32, {});
// Phase 1, operands
- auto op1 = model->addOperand(&type10);
+ auto op1 = model->addOperand(&type12);
auto param = model->addOperand(&type3);
auto layout = model->addOperand(&type0);
auto op4 = model->addOperand(&type2);
@@ -116,11 +144,11 @@
void CreateModel_nchw_relaxed(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type10(Type::TENSOR_FLOAT32, {1, 8, 1, 1});
+ OperandType type12(Type::TENSOR_FLOAT32, {1, 8, 1, 1});
OperandType type2(Type::TENSOR_FLOAT32, {1, 2, 2, 2});
OperandType type3(Type::INT32, {});
// Phase 1, operands
- auto op1 = model->addOperand(&type10);
+ auto op1 = model->addOperand(&type12);
auto param = model->addOperand(&type3);
auto layout = model->addOperand(&type0);
auto op4 = model->addOperand(&type2);
@@ -144,13 +172,13 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_nchw_quant8(Model *model) {
+void CreateModel_nchw_float16(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type11(Type::TENSOR_QUANT8_ASYMM, {1, 8, 1, 1}, 0.1f, 0);
+ OperandType type13(Type::TENSOR_FLOAT16, {1, 8, 1, 1});
OperandType type3(Type::INT32, {});
- OperandType type9(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.1f, 0);
+ OperandType type9(Type::TENSOR_FLOAT16, {1, 2, 2, 2});
// Phase 1, operands
- auto op1 = model->addOperand(&type11);
+ auto op1 = model->addOperand(&type13);
auto param = model->addOperand(&type3);
auto layout = model->addOperand(&type0);
auto op4 = model->addOperand(&type9);
@@ -167,6 +195,34 @@
assert(model->isValid());
}
+inline bool is_ignored_nchw_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nchw_quant8(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type11(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.1f, 0);
+ OperandType type14(Type::TENSOR_QUANT8_ASYMM, {1, 8, 1, 1}, 0.1f, 0);
+ OperandType type3(Type::INT32, {});
+ // Phase 1, operands
+ auto op1 = model->addOperand(&type14);
+ auto param = model->addOperand(&type3);
+ auto layout = model->addOperand(&type0);
+ auto op4 = model->addOperand(&type11);
+ // Phase 2, operations
+ static int32_t param_init[] = {2};
+ model->setOperandValue(param, param_init, sizeof(int32_t) * 1);
+ static bool layout_init[] = {true};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {op1, param, layout}, {op4});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op1},
+ {op4});
+ assert(model->isValid());
+}
+
inline bool is_ignored_nchw_quant8(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
@@ -230,16 +286,44 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_nhwc_quant8_2(Model *model) {
+void CreateModel_nhwc_float16_2(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type12(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.5f, 128);
- OperandType type13(Type::TENSOR_QUANT8_ASYMM, {1, 4, 4, 1}, 0.5f, 128);
+ OperandType type15(Type::TENSOR_FLOAT16, {1, 2, 2, 4});
+ OperandType type16(Type::TENSOR_FLOAT16, {1, 4, 4, 1});
OperandType type3(Type::INT32, {});
// Phase 1, operands
- auto op11 = model->addOperand(&type12);
+ auto op11 = model->addOperand(&type15);
auto param1 = model->addOperand(&type3);
auto layout = model->addOperand(&type0);
- auto op41 = model->addOperand(&type13);
+ auto op41 = model->addOperand(&type16);
+ // Phase 2, operations
+ static int32_t param1_init[] = {2};
+ model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1);
+ static bool layout_init[] = {false};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {op11, param1, layout}, {op41});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op11},
+ {op41});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nhwc_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nhwc_quant8_2(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type17(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.5f, 128);
+ OperandType type18(Type::TENSOR_QUANT8_ASYMM, {1, 4, 4, 1}, 0.5f, 128);
+ OperandType type3(Type::INT32, {});
+ // Phase 1, operands
+ auto op11 = model->addOperand(&type17);
+ auto param1 = model->addOperand(&type3);
+ auto layout = model->addOperand(&type0);
+ auto op41 = model->addOperand(&type18);
// Phase 2, operations
static int32_t param1_init[] = {2};
model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1);
@@ -260,14 +344,14 @@
void CreateModel_nchw_2(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type14(Type::TENSOR_FLOAT32, {1, 4, 2, 2});
- OperandType type15(Type::TENSOR_FLOAT32, {1, 1, 4, 4});
+ OperandType type19(Type::TENSOR_FLOAT32, {1, 4, 2, 2});
+ OperandType type20(Type::TENSOR_FLOAT32, {1, 1, 4, 4});
OperandType type3(Type::INT32, {});
// Phase 1, operands
- auto op11 = model->addOperand(&type14);
+ auto op11 = model->addOperand(&type19);
auto param1 = model->addOperand(&type3);
auto layout = model->addOperand(&type0);
- auto op41 = model->addOperand(&type15);
+ auto op41 = model->addOperand(&type20);
// Phase 2, operations
static int32_t param1_init[] = {2};
model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1);
@@ -288,14 +372,14 @@
void CreateModel_nchw_relaxed_2(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type14(Type::TENSOR_FLOAT32, {1, 4, 2, 2});
- OperandType type15(Type::TENSOR_FLOAT32, {1, 1, 4, 4});
+ OperandType type19(Type::TENSOR_FLOAT32, {1, 4, 2, 2});
+ OperandType type20(Type::TENSOR_FLOAT32, {1, 1, 4, 4});
OperandType type3(Type::INT32, {});
// Phase 1, operands
- auto op11 = model->addOperand(&type14);
+ auto op11 = model->addOperand(&type19);
auto param1 = model->addOperand(&type3);
auto layout = model->addOperand(&type0);
- auto op41 = model->addOperand(&type15);
+ auto op41 = model->addOperand(&type20);
// Phase 2, operations
static int32_t param1_init[] = {2};
model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1);
@@ -316,16 +400,44 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_nchw_quant8_2(Model *model) {
+void CreateModel_nchw_float16_2(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type16(Type::TENSOR_QUANT8_ASYMM, {1, 4, 2, 2}, 0.5f, 128);
- OperandType type17(Type::TENSOR_QUANT8_ASYMM, {1, 1, 4, 4}, 0.5f, 128);
+ OperandType type21(Type::TENSOR_FLOAT16, {1, 4, 2, 2});
+ OperandType type22(Type::TENSOR_FLOAT16, {1, 1, 4, 4});
OperandType type3(Type::INT32, {});
// Phase 1, operands
- auto op11 = model->addOperand(&type16);
+ auto op11 = model->addOperand(&type21);
auto param1 = model->addOperand(&type3);
auto layout = model->addOperand(&type0);
- auto op41 = model->addOperand(&type17);
+ auto op41 = model->addOperand(&type22);
+ // Phase 2, operations
+ static int32_t param1_init[] = {2};
+ model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1);
+ static bool layout_init[] = {true};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {op11, param1, layout}, {op41});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op11},
+ {op41});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nchw_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nchw_quant8_2(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type23(Type::TENSOR_QUANT8_ASYMM, {1, 4, 2, 2}, 0.5f, 128);
+ OperandType type24(Type::TENSOR_QUANT8_ASYMM, {1, 1, 4, 4}, 0.5f, 128);
+ OperandType type3(Type::INT32, {});
+ // Phase 1, operands
+ auto op11 = model->addOperand(&type23);
+ auto param1 = model->addOperand(&type3);
+ auto layout = model->addOperand(&type0);
+ auto op41 = model->addOperand(&type24);
// Phase 2, operations
static int32_t param1_init[] = {2};
model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1);
@@ -402,16 +514,44 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_nhwc_quant8_3(Model *model) {
+void CreateModel_nhwc_float16_3(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type18(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 8}, 1.0f, 0);
- OperandType type19(Type::TENSOR_QUANT8_ASYMM, {1, 4, 4, 2}, 1.0f, 0);
+ OperandType type25(Type::TENSOR_FLOAT16, {1, 2, 2, 8});
+ OperandType type26(Type::TENSOR_FLOAT16, {1, 4, 4, 2});
OperandType type3(Type::INT32, {});
// Phase 1, operands
- auto op12 = model->addOperand(&type18);
+ auto op12 = model->addOperand(&type25);
auto param2 = model->addOperand(&type3);
auto layout = model->addOperand(&type0);
- auto op42 = model->addOperand(&type19);
+ auto op42 = model->addOperand(&type26);
+ // Phase 2, operations
+ static int32_t param2_init[] = {2};
+ model->setOperandValue(param2, param2_init, sizeof(int32_t) * 1);
+ static bool layout_init[] = {false};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {op12, param2, layout}, {op42});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op12},
+ {op42});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nhwc_float16_3(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nhwc_quant8_3(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type27(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 8}, 1.0f, 0);
+ OperandType type28(Type::TENSOR_QUANT8_ASYMM, {1, 4, 4, 2}, 1.0f, 0);
+ OperandType type3(Type::INT32, {});
+ // Phase 1, operands
+ auto op12 = model->addOperand(&type27);
+ auto param2 = model->addOperand(&type3);
+ auto layout = model->addOperand(&type0);
+ auto op42 = model->addOperand(&type28);
// Phase 2, operations
static int32_t param2_init[] = {2};
model->setOperandValue(param2, param2_init, sizeof(int32_t) * 1);
@@ -432,14 +572,14 @@
void CreateModel_nchw_3(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type20(Type::TENSOR_FLOAT32, {1, 8, 2, 2});
- OperandType type21(Type::TENSOR_FLOAT32, {1, 2, 4, 4});
+ OperandType type29(Type::TENSOR_FLOAT32, {1, 8, 2, 2});
OperandType type3(Type::INT32, {});
+ OperandType type30(Type::TENSOR_FLOAT32, {1, 2, 4, 4});
// Phase 1, operands
- auto op12 = model->addOperand(&type20);
+ auto op12 = model->addOperand(&type29);
auto param2 = model->addOperand(&type3);
auto layout = model->addOperand(&type0);
- auto op42 = model->addOperand(&type21);
+ auto op42 = model->addOperand(&type30);
// Phase 2, operations
static int32_t param2_init[] = {2};
model->setOperandValue(param2, param2_init, sizeof(int32_t) * 1);
@@ -460,14 +600,14 @@
void CreateModel_nchw_relaxed_3(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type20(Type::TENSOR_FLOAT32, {1, 8, 2, 2});
- OperandType type21(Type::TENSOR_FLOAT32, {1, 2, 4, 4});
+ OperandType type29(Type::TENSOR_FLOAT32, {1, 8, 2, 2});
OperandType type3(Type::INT32, {});
+ OperandType type30(Type::TENSOR_FLOAT32, {1, 2, 4, 4});
// Phase 1, operands
- auto op12 = model->addOperand(&type20);
+ auto op12 = model->addOperand(&type29);
auto param2 = model->addOperand(&type3);
auto layout = model->addOperand(&type0);
- auto op42 = model->addOperand(&type21);
+ auto op42 = model->addOperand(&type30);
// Phase 2, operations
static int32_t param2_init[] = {2};
model->setOperandValue(param2, param2_init, sizeof(int32_t) * 1);
@@ -488,16 +628,44 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_nchw_quant8_3(Model *model) {
+void CreateModel_nchw_float16_3(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type22(Type::TENSOR_QUANT8_ASYMM, {1, 8, 2, 2}, 1.0f, 0);
- OperandType type23(Type::TENSOR_QUANT8_ASYMM, {1, 2, 4, 4}, 1.0f, 0);
OperandType type3(Type::INT32, {});
+ OperandType type31(Type::TENSOR_FLOAT16, {1, 8, 2, 2});
+ OperandType type32(Type::TENSOR_FLOAT16, {1, 2, 4, 4});
// Phase 1, operands
- auto op12 = model->addOperand(&type22);
+ auto op12 = model->addOperand(&type31);
auto param2 = model->addOperand(&type3);
auto layout = model->addOperand(&type0);
- auto op42 = model->addOperand(&type23);
+ auto op42 = model->addOperand(&type32);
+ // Phase 2, operations
+ static int32_t param2_init[] = {2};
+ model->setOperandValue(param2, param2_init, sizeof(int32_t) * 1);
+ static bool layout_init[] = {true};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {op12, param2, layout}, {op42});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op12},
+ {op42});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nchw_float16_3(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nchw_quant8_3(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type3(Type::INT32, {});
+ OperandType type33(Type::TENSOR_QUANT8_ASYMM, {1, 8, 2, 2}, 1.0f, 0);
+ OperandType type34(Type::TENSOR_QUANT8_ASYMM, {1, 2, 4, 4}, 1.0f, 0);
+ // Phase 1, operands
+ auto op12 = model->addOperand(&type33);
+ auto param2 = model->addOperand(&type3);
+ auto layout = model->addOperand(&type0);
+ auto op42 = model->addOperand(&type34);
// Phase 2, operations
static int32_t param2_init[] = {2};
model->setOperandValue(param2, param2_init, sizeof(int32_t) * 1);
diff --git a/nn/runtime/test/generated/models/depthwise_conv2d_v1_2.model.cpp b/nn/runtime/test/generated/models/depthwise_conv2d_v1_2.model.cpp
index c5c282c..8245f51 100644
--- a/nn/runtime/test/generated/models/depthwise_conv2d_v1_2.model.cpp
+++ b/nn/runtime/test/generated/models/depthwise_conv2d_v1_2.model.cpp
@@ -114,12 +114,11 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_nhwc_quant8(Model *model) {
+void CreateModel_nhwc_float16(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type11(Type::TENSOR_QUANT8_ASYMM, {1, 3, 3, 2}, 0.5f, 0);
- OperandType type12(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.01f, 0);
- OperandType type13(Type::TENSOR_INT32, {4}, 0.005f, 0);
- OperandType type14(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.1f, 0);
+ OperandType type11(Type::TENSOR_FLOAT16, {1, 3, 3, 2});
+ OperandType type12(Type::TENSOR_FLOAT16, {1, 2, 2, 4});
+ OperandType type13(Type::TENSOR_FLOAT16, {4});
OperandType type4(Type::INT32, {});
// Phase 1, operands
auto op1 = model->addOperand(&type11);
@@ -134,7 +133,64 @@
auto param6 = model->addOperand(&type4);
auto param7 = model->addOperand(&type4);
auto layout = model->addOperand(&type0);
- auto op4 = model->addOperand(&type14);
+ auto op4 = model->addOperand(&type12);
+ // Phase 2, operations
+ static _Float16 op2_init[] = {0.25f, 0.0f, 0.20000000298023224f, 0.0f, 0.25f, 0.0f, 0.0f, 0.30000001192092896f, 0.25f, 0.0f, 0.0f, 0.0f, 0.25f, 0.10000000149011612f, 0.0f, 0.0f};
+ model->setOperandValue(op2, op2_init, sizeof(_Float16) * 16);
+ static _Float16 op3_init[] = {1.0f, 2.0f, 3.0f, 4.0f};
+ model->setOperandValue(op3, op3_init, sizeof(_Float16) * 4);
+ static int32_t param_init[] = {0};
+ model->setOperandValue(param, param_init, sizeof(int32_t) * 1);
+ static int32_t param1_init[] = {0};
+ model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1);
+ static int32_t param2_init[] = {0};
+ model->setOperandValue(param2, param2_init, sizeof(int32_t) * 1);
+ static int32_t param3_init[] = {0};
+ model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1);
+ static int32_t param4_init[] = {1};
+ model->setOperandValue(param4, param4_init, sizeof(int32_t) * 1);
+ static int32_t param5_init[] = {1};
+ model->setOperandValue(param5, param5_init, sizeof(int32_t) * 1);
+ static int32_t param6_init[] = {2};
+ model->setOperandValue(param6, param6_init, sizeof(int32_t) * 1);
+ static int32_t param7_init[] = {0};
+ model->setOperandValue(param7, param7_init, sizeof(int32_t) * 1);
+ static bool layout_init[] = {false};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op1, op2, op3, param, param1, param2, param3, param4, param5, param6, param7, layout}, {op4});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op1},
+ {op4});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nhwc_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nhwc_quant8(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type14(Type::TENSOR_QUANT8_ASYMM, {1, 3, 3, 2}, 0.5f, 0);
+ OperandType type15(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.01f, 0);
+ OperandType type16(Type::TENSOR_INT32, {4}, 0.005f, 0);
+ OperandType type17(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.1f, 0);
+ OperandType type4(Type::INT32, {});
+ // Phase 1, operands
+ auto op1 = model->addOperand(&type14);
+ auto op2 = model->addOperand(&type15);
+ auto op3 = model->addOperand(&type16);
+ auto param = model->addOperand(&type4);
+ auto param1 = model->addOperand(&type4);
+ auto param2 = model->addOperand(&type4);
+ auto param3 = model->addOperand(&type4);
+ auto param4 = model->addOperand(&type4);
+ auto param5 = model->addOperand(&type4);
+ auto param6 = model->addOperand(&type4);
+ auto param7 = model->addOperand(&type4);
+ auto layout = model->addOperand(&type0);
+ auto op4 = model->addOperand(&type17);
// Phase 2, operations
static uint8_t op2_init[] = {25, 0, 20, 0, 25, 0, 0, 30, 25, 0, 0, 0, 25, 10, 0, 0};
model->setOperandValue(op2, op2_init, sizeof(uint8_t) * 16);
@@ -277,12 +333,11 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_nhwc_weight_as_input_quant8(Model *model) {
+void CreateModel_nhwc_weight_as_input_float16(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type11(Type::TENSOR_QUANT8_ASYMM, {1, 3, 3, 2}, 0.5f, 0);
- OperandType type12(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.01f, 0);
- OperandType type13(Type::TENSOR_INT32, {4}, 0.005f, 0);
- OperandType type14(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.1f, 0);
+ OperandType type11(Type::TENSOR_FLOAT16, {1, 3, 3, 2});
+ OperandType type12(Type::TENSOR_FLOAT16, {1, 2, 2, 4});
+ OperandType type13(Type::TENSOR_FLOAT16, {4});
OperandType type4(Type::INT32, {});
// Phase 1, operands
auto op1 = model->addOperand(&type11);
@@ -297,7 +352,60 @@
auto param6 = model->addOperand(&type4);
auto param7 = model->addOperand(&type4);
auto layout = model->addOperand(&type0);
- auto op4 = model->addOperand(&type14);
+ auto op4 = model->addOperand(&type12);
+ // Phase 2, operations
+ static int32_t param_init[] = {0};
+ model->setOperandValue(param, param_init, sizeof(int32_t) * 1);
+ static int32_t param1_init[] = {0};
+ model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1);
+ static int32_t param2_init[] = {0};
+ model->setOperandValue(param2, param2_init, sizeof(int32_t) * 1);
+ static int32_t param3_init[] = {0};
+ model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1);
+ static int32_t param4_init[] = {1};
+ model->setOperandValue(param4, param4_init, sizeof(int32_t) * 1);
+ static int32_t param5_init[] = {1};
+ model->setOperandValue(param5, param5_init, sizeof(int32_t) * 1);
+ static int32_t param6_init[] = {2};
+ model->setOperandValue(param6, param6_init, sizeof(int32_t) * 1);
+ static int32_t param7_init[] = {0};
+ model->setOperandValue(param7, param7_init, sizeof(int32_t) * 1);
+ static bool layout_init[] = {false};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op1, op2, op3, param, param1, param2, param3, param4, param5, param6, param7, layout}, {op4});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op1, op2, op3},
+ {op4});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nhwc_weight_as_input_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nhwc_weight_as_input_quant8(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type14(Type::TENSOR_QUANT8_ASYMM, {1, 3, 3, 2}, 0.5f, 0);
+ OperandType type15(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.01f, 0);
+ OperandType type16(Type::TENSOR_INT32, {4}, 0.005f, 0);
+ OperandType type17(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.1f, 0);
+ OperandType type4(Type::INT32, {});
+ // Phase 1, operands
+ auto op1 = model->addOperand(&type14);
+ auto op2 = model->addOperand(&type15);
+ auto op3 = model->addOperand(&type16);
+ auto param = model->addOperand(&type4);
+ auto param1 = model->addOperand(&type4);
+ auto param2 = model->addOperand(&type4);
+ auto param3 = model->addOperand(&type4);
+ auto param4 = model->addOperand(&type4);
+ auto param5 = model->addOperand(&type4);
+ auto param6 = model->addOperand(&type4);
+ auto param7 = model->addOperand(&type4);
+ auto layout = model->addOperand(&type0);
+ auto op4 = model->addOperand(&type17);
// Phase 2, operations
static int32_t param_init[] = {0};
model->setOperandValue(param, param_init, sizeof(int32_t) * 1);
@@ -332,13 +440,13 @@
void CreateModel_nchw(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type15(Type::TENSOR_FLOAT32, {1, 2, 3, 3});
- OperandType type16(Type::TENSOR_FLOAT32, {1, 4, 2, 2});
+ OperandType type18(Type::TENSOR_FLOAT32, {1, 2, 3, 3});
+ OperandType type19(Type::TENSOR_FLOAT32, {1, 4, 2, 2});
OperandType type2(Type::TENSOR_FLOAT32, {1, 2, 2, 4});
OperandType type3(Type::TENSOR_FLOAT32, {4});
OperandType type4(Type::INT32, {});
// Phase 1, operands
- auto op1 = model->addOperand(&type15);
+ auto op1 = model->addOperand(&type18);
auto op2 = model->addOperand(&type2);
auto op3 = model->addOperand(&type3);
auto param = model->addOperand(&type4);
@@ -350,7 +458,7 @@
auto param6 = model->addOperand(&type4);
auto param7 = model->addOperand(&type4);
auto layout = model->addOperand(&type0);
- auto op4 = model->addOperand(&type16);
+ auto op4 = model->addOperand(&type19);
// Phase 2, operations
static float op2_init[] = {0.25f, 0.0f, 0.2f, 0.0f, 0.25f, 0.0f, 0.0f, 0.3f, 0.25f, 0.0f, 0.0f, 0.0f, 0.25f, 0.1f, 0.0f, 0.0f};
model->setOperandValue(op2, op2_init, sizeof(float) * 16);
@@ -389,13 +497,13 @@
void CreateModel_nchw_relaxed(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type15(Type::TENSOR_FLOAT32, {1, 2, 3, 3});
- OperandType type16(Type::TENSOR_FLOAT32, {1, 4, 2, 2});
+ OperandType type18(Type::TENSOR_FLOAT32, {1, 2, 3, 3});
+ OperandType type19(Type::TENSOR_FLOAT32, {1, 4, 2, 2});
OperandType type2(Type::TENSOR_FLOAT32, {1, 2, 2, 4});
OperandType type3(Type::TENSOR_FLOAT32, {4});
OperandType type4(Type::INT32, {});
// Phase 1, operands
- auto op1 = model->addOperand(&type15);
+ auto op1 = model->addOperand(&type18);
auto op2 = model->addOperand(&type2);
auto op3 = model->addOperand(&type3);
auto param = model->addOperand(&type4);
@@ -407,7 +515,7 @@
auto param6 = model->addOperand(&type4);
auto param7 = model->addOperand(&type4);
auto layout = model->addOperand(&type0);
- auto op4 = model->addOperand(&type16);
+ auto op4 = model->addOperand(&type19);
// Phase 2, operations
static float op2_init[] = {0.25f, 0.0f, 0.2f, 0.0f, 0.25f, 0.0f, 0.0f, 0.3f, 0.25f, 0.0f, 0.0f, 0.0f, 0.25f, 0.1f, 0.0f, 0.0f};
model->setOperandValue(op2, op2_init, sizeof(float) * 16);
@@ -446,15 +554,15 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_nchw_quant8(Model *model) {
+void CreateModel_nchw_float16(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type12(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.01f, 0);
- OperandType type13(Type::TENSOR_INT32, {4}, 0.005f, 0);
- OperandType type17(Type::TENSOR_QUANT8_ASYMM, {1, 2, 3, 3}, 0.5f, 0);
- OperandType type18(Type::TENSOR_QUANT8_ASYMM, {1, 4, 2, 2}, 0.1f, 0);
+ OperandType type12(Type::TENSOR_FLOAT16, {1, 2, 2, 4});
+ OperandType type13(Type::TENSOR_FLOAT16, {4});
+ OperandType type20(Type::TENSOR_FLOAT16, {1, 2, 3, 3});
+ OperandType type21(Type::TENSOR_FLOAT16, {1, 4, 2, 2});
OperandType type4(Type::INT32, {});
// Phase 1, operands
- auto op1 = model->addOperand(&type17);
+ auto op1 = model->addOperand(&type20);
auto op2 = model->addOperand(&type12);
auto op3 = model->addOperand(&type13);
auto param = model->addOperand(&type4);
@@ -466,7 +574,64 @@
auto param6 = model->addOperand(&type4);
auto param7 = model->addOperand(&type4);
auto layout = model->addOperand(&type0);
- auto op4 = model->addOperand(&type18);
+ auto op4 = model->addOperand(&type21);
+ // Phase 2, operations
+ static _Float16 op2_init[] = {0.25f, 0.0f, 0.20000000298023224f, 0.0f, 0.25f, 0.0f, 0.0f, 0.30000001192092896f, 0.25f, 0.0f, 0.0f, 0.0f, 0.25f, 0.10000000149011612f, 0.0f, 0.0f};
+ model->setOperandValue(op2, op2_init, sizeof(_Float16) * 16);
+ static _Float16 op3_init[] = {1.0f, 2.0f, 3.0f, 4.0f};
+ model->setOperandValue(op3, op3_init, sizeof(_Float16) * 4);
+ static int32_t param_init[] = {0};
+ model->setOperandValue(param, param_init, sizeof(int32_t) * 1);
+ static int32_t param1_init[] = {0};
+ model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1);
+ static int32_t param2_init[] = {0};
+ model->setOperandValue(param2, param2_init, sizeof(int32_t) * 1);
+ static int32_t param3_init[] = {0};
+ model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1);
+ static int32_t param4_init[] = {1};
+ model->setOperandValue(param4, param4_init, sizeof(int32_t) * 1);
+ static int32_t param5_init[] = {1};
+ model->setOperandValue(param5, param5_init, sizeof(int32_t) * 1);
+ static int32_t param6_init[] = {2};
+ model->setOperandValue(param6, param6_init, sizeof(int32_t) * 1);
+ static int32_t param7_init[] = {0};
+ model->setOperandValue(param7, param7_init, sizeof(int32_t) * 1);
+ static bool layout_init[] = {true};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op1, op2, op3, param, param1, param2, param3, param4, param5, param6, param7, layout}, {op4});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op1},
+ {op4});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nchw_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nchw_quant8(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type15(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.01f, 0);
+ OperandType type16(Type::TENSOR_INT32, {4}, 0.005f, 0);
+ OperandType type22(Type::TENSOR_QUANT8_ASYMM, {1, 2, 3, 3}, 0.5f, 0);
+ OperandType type23(Type::TENSOR_QUANT8_ASYMM, {1, 4, 2, 2}, 0.1f, 0);
+ OperandType type4(Type::INT32, {});
+ // Phase 1, operands
+ auto op1 = model->addOperand(&type22);
+ auto op2 = model->addOperand(&type15);
+ auto op3 = model->addOperand(&type16);
+ auto param = model->addOperand(&type4);
+ auto param1 = model->addOperand(&type4);
+ auto param2 = model->addOperand(&type4);
+ auto param3 = model->addOperand(&type4);
+ auto param4 = model->addOperand(&type4);
+ auto param5 = model->addOperand(&type4);
+ auto param6 = model->addOperand(&type4);
+ auto param7 = model->addOperand(&type4);
+ auto layout = model->addOperand(&type0);
+ auto op4 = model->addOperand(&type23);
// Phase 2, operations
static uint8_t op2_init[] = {25, 0, 20, 0, 25, 0, 0, 30, 25, 0, 0, 0, 25, 10, 0, 0};
model->setOperandValue(op2, op2_init, sizeof(uint8_t) * 16);
@@ -505,13 +670,13 @@
void CreateModel_nchw_weight_as_input(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type15(Type::TENSOR_FLOAT32, {1, 2, 3, 3});
- OperandType type16(Type::TENSOR_FLOAT32, {1, 4, 2, 2});
+ OperandType type18(Type::TENSOR_FLOAT32, {1, 2, 3, 3});
+ OperandType type19(Type::TENSOR_FLOAT32, {1, 4, 2, 2});
OperandType type2(Type::TENSOR_FLOAT32, {1, 2, 2, 4});
OperandType type3(Type::TENSOR_FLOAT32, {4});
OperandType type4(Type::INT32, {});
// Phase 1, operands
- auto op1 = model->addOperand(&type15);
+ auto op1 = model->addOperand(&type18);
auto op2 = model->addOperand(&type2);
auto op3 = model->addOperand(&type3);
auto param = model->addOperand(&type4);
@@ -523,7 +688,7 @@
auto param6 = model->addOperand(&type4);
auto param7 = model->addOperand(&type4);
auto layout = model->addOperand(&type0);
- auto op4 = model->addOperand(&type16);
+ auto op4 = model->addOperand(&type19);
// Phase 2, operations
static int32_t param_init[] = {0};
model->setOperandValue(param, param_init, sizeof(int32_t) * 1);
@@ -558,13 +723,13 @@
void CreateModel_nchw_weight_as_input_relaxed(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type15(Type::TENSOR_FLOAT32, {1, 2, 3, 3});
- OperandType type16(Type::TENSOR_FLOAT32, {1, 4, 2, 2});
+ OperandType type18(Type::TENSOR_FLOAT32, {1, 2, 3, 3});
+ OperandType type19(Type::TENSOR_FLOAT32, {1, 4, 2, 2});
OperandType type2(Type::TENSOR_FLOAT32, {1, 2, 2, 4});
OperandType type3(Type::TENSOR_FLOAT32, {4});
OperandType type4(Type::INT32, {});
// Phase 1, operands
- auto op1 = model->addOperand(&type15);
+ auto op1 = model->addOperand(&type18);
auto op2 = model->addOperand(&type2);
auto op3 = model->addOperand(&type3);
auto param = model->addOperand(&type4);
@@ -576,7 +741,7 @@
auto param6 = model->addOperand(&type4);
auto param7 = model->addOperand(&type4);
auto layout = model->addOperand(&type0);
- auto op4 = model->addOperand(&type16);
+ auto op4 = model->addOperand(&type19);
// Phase 2, operations
static int32_t param_init[] = {0};
model->setOperandValue(param, param_init, sizeof(int32_t) * 1);
@@ -611,15 +776,15 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_nchw_weight_as_input_quant8(Model *model) {
+void CreateModel_nchw_weight_as_input_float16(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type12(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.01f, 0);
- OperandType type13(Type::TENSOR_INT32, {4}, 0.005f, 0);
- OperandType type17(Type::TENSOR_QUANT8_ASYMM, {1, 2, 3, 3}, 0.5f, 0);
- OperandType type18(Type::TENSOR_QUANT8_ASYMM, {1, 4, 2, 2}, 0.1f, 0);
+ OperandType type12(Type::TENSOR_FLOAT16, {1, 2, 2, 4});
+ OperandType type13(Type::TENSOR_FLOAT16, {4});
+ OperandType type20(Type::TENSOR_FLOAT16, {1, 2, 3, 3});
+ OperandType type21(Type::TENSOR_FLOAT16, {1, 4, 2, 2});
OperandType type4(Type::INT32, {});
// Phase 1, operands
- auto op1 = model->addOperand(&type17);
+ auto op1 = model->addOperand(&type20);
auto op2 = model->addOperand(&type12);
auto op3 = model->addOperand(&type13);
auto param = model->addOperand(&type4);
@@ -631,7 +796,60 @@
auto param6 = model->addOperand(&type4);
auto param7 = model->addOperand(&type4);
auto layout = model->addOperand(&type0);
- auto op4 = model->addOperand(&type18);
+ auto op4 = model->addOperand(&type21);
+ // Phase 2, operations
+ static int32_t param_init[] = {0};
+ model->setOperandValue(param, param_init, sizeof(int32_t) * 1);
+ static int32_t param1_init[] = {0};
+ model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1);
+ static int32_t param2_init[] = {0};
+ model->setOperandValue(param2, param2_init, sizeof(int32_t) * 1);
+ static int32_t param3_init[] = {0};
+ model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1);
+ static int32_t param4_init[] = {1};
+ model->setOperandValue(param4, param4_init, sizeof(int32_t) * 1);
+ static int32_t param5_init[] = {1};
+ model->setOperandValue(param5, param5_init, sizeof(int32_t) * 1);
+ static int32_t param6_init[] = {2};
+ model->setOperandValue(param6, param6_init, sizeof(int32_t) * 1);
+ static int32_t param7_init[] = {0};
+ model->setOperandValue(param7, param7_init, sizeof(int32_t) * 1);
+ static bool layout_init[] = {true};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op1, op2, op3, param, param1, param2, param3, param4, param5, param6, param7, layout}, {op4});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op1, op2, op3},
+ {op4});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nchw_weight_as_input_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nchw_weight_as_input_quant8(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type15(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.01f, 0);
+ OperandType type16(Type::TENSOR_INT32, {4}, 0.005f, 0);
+ OperandType type22(Type::TENSOR_QUANT8_ASYMM, {1, 2, 3, 3}, 0.5f, 0);
+ OperandType type23(Type::TENSOR_QUANT8_ASYMM, {1, 4, 2, 2}, 0.1f, 0);
+ OperandType type4(Type::INT32, {});
+ // Phase 1, operands
+ auto op1 = model->addOperand(&type22);
+ auto op2 = model->addOperand(&type15);
+ auto op3 = model->addOperand(&type16);
+ auto param = model->addOperand(&type4);
+ auto param1 = model->addOperand(&type4);
+ auto param2 = model->addOperand(&type4);
+ auto param3 = model->addOperand(&type4);
+ auto param4 = model->addOperand(&type4);
+ auto param5 = model->addOperand(&type4);
+ auto param6 = model->addOperand(&type4);
+ auto param7 = model->addOperand(&type4);
+ auto layout = model->addOperand(&type0);
+ auto op4 = model->addOperand(&type23);
// Phase 2, operations
static int32_t param_init[] = {0};
model->setOperandValue(param, param_init, sizeof(int32_t) * 1);
@@ -762,24 +980,72 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_nhwc_quant8_2(Model *model) {
+void CreateModel_nhwc_float16_2(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type19(Type::TENSOR_QUANT8_ASYMM, {1, 3, 2, 2}, 0.5f, 128);
- OperandType type20(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.5f, 128);
- OperandType type21(Type::TENSOR_INT32, {4}, 0.25f, 0);
- OperandType type22(Type::TENSOR_QUANT8_ASYMM, {1, 2, 1, 4}, 1.0f, 100);
+ OperandType type12(Type::TENSOR_FLOAT16, {1, 2, 2, 4});
+ OperandType type13(Type::TENSOR_FLOAT16, {4});
+ OperandType type24(Type::TENSOR_FLOAT16, {1, 3, 2, 2});
+ OperandType type25(Type::TENSOR_FLOAT16, {1, 2, 1, 4});
OperandType type4(Type::INT32, {});
// Phase 1, operands
- auto op11 = model->addOperand(&type19);
- auto op21 = model->addOperand(&type20);
- auto op31 = model->addOperand(&type21);
+ auto op11 = model->addOperand(&type24);
+ auto op21 = model->addOperand(&type12);
+ auto op31 = model->addOperand(&type13);
auto param8 = model->addOperand(&type4);
auto param9 = model->addOperand(&type4);
auto param10 = model->addOperand(&type4);
auto param11 = model->addOperand(&type4);
auto param12 = model->addOperand(&type4);
auto layout = model->addOperand(&type0);
- auto op41 = model->addOperand(&type22);
+ auto op41 = model->addOperand(&type25);
+ // Phase 2, operations
+ static _Float16 op21_init[] = {1.0f, 2.0f, 3.0f, 4.0f, -9.0f, 10.0f, -11.0f, 12.0f, 5.0f, 6.0f, 7.0f, 8.0f, 13.0f, -14.0f, 15.0f, -16.0f};
+ model->setOperandValue(op21, op21_init, sizeof(_Float16) * 16);
+ static _Float16 op31_init[] = {1.0f, 2.0f, 3.0f, 4.0f};
+ model->setOperandValue(op31, op31_init, sizeof(_Float16) * 4);
+ static int32_t param8_init[] = {2};
+ model->setOperandValue(param8, param8_init, sizeof(int32_t) * 1);
+ static int32_t param9_init[] = {1};
+ model->setOperandValue(param9, param9_init, sizeof(int32_t) * 1);
+ static int32_t param10_init[] = {1};
+ model->setOperandValue(param10, param10_init, sizeof(int32_t) * 1);
+ static int32_t param11_init[] = {2};
+ model->setOperandValue(param11, param11_init, sizeof(int32_t) * 1);
+ static int32_t param12_init[] = {0};
+ model->setOperandValue(param12, param12_init, sizeof(int32_t) * 1);
+ static bool layout_init[] = {false};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op11, op21, op31, param8, param9, param10, param11, param12, layout}, {op41});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op11},
+ {op41});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nhwc_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nhwc_quant8_2(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type26(Type::TENSOR_QUANT8_ASYMM, {1, 3, 2, 2}, 0.5f, 128);
+ OperandType type27(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.5f, 128);
+ OperandType type28(Type::TENSOR_INT32, {4}, 0.25f, 0);
+ OperandType type29(Type::TENSOR_QUANT8_ASYMM, {1, 2, 1, 4}, 1.0f, 100);
+ OperandType type4(Type::INT32, {});
+ // Phase 1, operands
+ auto op11 = model->addOperand(&type26);
+ auto op21 = model->addOperand(&type27);
+ auto op31 = model->addOperand(&type28);
+ auto param8 = model->addOperand(&type4);
+ auto param9 = model->addOperand(&type4);
+ auto param10 = model->addOperand(&type4);
+ auto param11 = model->addOperand(&type4);
+ auto param12 = model->addOperand(&type4);
+ auto layout = model->addOperand(&type0);
+ auto op41 = model->addOperand(&type29);
// Phase 2, operations
static uint8_t op21_init[] = {130, 132, 134, 136, 110, 148, 106, 152, 138, 140, 142, 144, 154, 100, 158, 96};
model->setOperandValue(op21, op21_init, sizeof(uint8_t) * 16);
@@ -900,24 +1166,68 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_nhwc_weight_as_input_quant8_2(Model *model) {
+void CreateModel_nhwc_weight_as_input_float16_2(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type19(Type::TENSOR_QUANT8_ASYMM, {1, 3, 2, 2}, 0.5f, 128);
- OperandType type20(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.5f, 128);
- OperandType type21(Type::TENSOR_INT32, {4}, 0.25f, 0);
- OperandType type22(Type::TENSOR_QUANT8_ASYMM, {1, 2, 1, 4}, 1.0f, 100);
+ OperandType type12(Type::TENSOR_FLOAT16, {1, 2, 2, 4});
+ OperandType type13(Type::TENSOR_FLOAT16, {4});
+ OperandType type24(Type::TENSOR_FLOAT16, {1, 3, 2, 2});
+ OperandType type25(Type::TENSOR_FLOAT16, {1, 2, 1, 4});
OperandType type4(Type::INT32, {});
// Phase 1, operands
- auto op11 = model->addOperand(&type19);
- auto op21 = model->addOperand(&type20);
- auto op31 = model->addOperand(&type21);
+ auto op11 = model->addOperand(&type24);
+ auto op21 = model->addOperand(&type12);
+ auto op31 = model->addOperand(&type13);
auto param8 = model->addOperand(&type4);
auto param9 = model->addOperand(&type4);
auto param10 = model->addOperand(&type4);
auto param11 = model->addOperand(&type4);
auto param12 = model->addOperand(&type4);
auto layout = model->addOperand(&type0);
- auto op41 = model->addOperand(&type22);
+ auto op41 = model->addOperand(&type25);
+ // Phase 2, operations
+ static int32_t param8_init[] = {2};
+ model->setOperandValue(param8, param8_init, sizeof(int32_t) * 1);
+ static int32_t param9_init[] = {1};
+ model->setOperandValue(param9, param9_init, sizeof(int32_t) * 1);
+ static int32_t param10_init[] = {1};
+ model->setOperandValue(param10, param10_init, sizeof(int32_t) * 1);
+ static int32_t param11_init[] = {2};
+ model->setOperandValue(param11, param11_init, sizeof(int32_t) * 1);
+ static int32_t param12_init[] = {0};
+ model->setOperandValue(param12, param12_init, sizeof(int32_t) * 1);
+ static bool layout_init[] = {false};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op11, op21, op31, param8, param9, param10, param11, param12, layout}, {op41});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op11, op21, op31},
+ {op41});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nhwc_weight_as_input_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nhwc_weight_as_input_quant8_2(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type26(Type::TENSOR_QUANT8_ASYMM, {1, 3, 2, 2}, 0.5f, 128);
+ OperandType type27(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.5f, 128);
+ OperandType type28(Type::TENSOR_INT32, {4}, 0.25f, 0);
+ OperandType type29(Type::TENSOR_QUANT8_ASYMM, {1, 2, 1, 4}, 1.0f, 100);
+ OperandType type4(Type::INT32, {});
+ // Phase 1, operands
+ auto op11 = model->addOperand(&type26);
+ auto op21 = model->addOperand(&type27);
+ auto op31 = model->addOperand(&type28);
+ auto param8 = model->addOperand(&type4);
+ auto param9 = model->addOperand(&type4);
+ auto param10 = model->addOperand(&type4);
+ auto param11 = model->addOperand(&type4);
+ auto param12 = model->addOperand(&type4);
+ auto layout = model->addOperand(&type0);
+ auto op41 = model->addOperand(&type29);
// Phase 2, operations
static int32_t param8_init[] = {2};
model->setOperandValue(param8, param8_init, sizeof(int32_t) * 1);
@@ -947,12 +1257,12 @@
void CreateModel_nchw_2(Model *model) {
OperandType type0(Type::BOOL, {});
OperandType type2(Type::TENSOR_FLOAT32, {1, 2, 2, 4});
- OperandType type23(Type::TENSOR_FLOAT32, {1, 2, 3, 2});
- OperandType type24(Type::TENSOR_FLOAT32, {1, 4, 2, 1});
OperandType type3(Type::TENSOR_FLOAT32, {4});
+ OperandType type30(Type::TENSOR_FLOAT32, {1, 2, 3, 2});
+ OperandType type31(Type::TENSOR_FLOAT32, {1, 4, 2, 1});
OperandType type4(Type::INT32, {});
// Phase 1, operands
- auto op11 = model->addOperand(&type23);
+ auto op11 = model->addOperand(&type30);
auto op21 = model->addOperand(&type2);
auto op31 = model->addOperand(&type3);
auto param8 = model->addOperand(&type4);
@@ -961,7 +1271,7 @@
auto param11 = model->addOperand(&type4);
auto param12 = model->addOperand(&type4);
auto layout = model->addOperand(&type0);
- auto op41 = model->addOperand(&type24);
+ auto op41 = model->addOperand(&type31);
// Phase 2, operations
static float op21_init[] = {1.0f, 2.0f, 3.0f, 4.0f, -9.0f, 10.0f, -11.0f, 12.0f, 5.0f, 6.0f, 7.0f, 8.0f, 13.0f, -14.0f, 15.0f, -16.0f};
model->setOperandValue(op21, op21_init, sizeof(float) * 16);
@@ -995,12 +1305,12 @@
void CreateModel_nchw_relaxed_2(Model *model) {
OperandType type0(Type::BOOL, {});
OperandType type2(Type::TENSOR_FLOAT32, {1, 2, 2, 4});
- OperandType type23(Type::TENSOR_FLOAT32, {1, 2, 3, 2});
- OperandType type24(Type::TENSOR_FLOAT32, {1, 4, 2, 1});
OperandType type3(Type::TENSOR_FLOAT32, {4});
+ OperandType type30(Type::TENSOR_FLOAT32, {1, 2, 3, 2});
+ OperandType type31(Type::TENSOR_FLOAT32, {1, 4, 2, 1});
OperandType type4(Type::INT32, {});
// Phase 1, operands
- auto op11 = model->addOperand(&type23);
+ auto op11 = model->addOperand(&type30);
auto op21 = model->addOperand(&type2);
auto op31 = model->addOperand(&type3);
auto param8 = model->addOperand(&type4);
@@ -1009,7 +1319,7 @@
auto param11 = model->addOperand(&type4);
auto param12 = model->addOperand(&type4);
auto layout = model->addOperand(&type0);
- auto op41 = model->addOperand(&type24);
+ auto op41 = model->addOperand(&type31);
// Phase 2, operations
static float op21_init[] = {1.0f, 2.0f, 3.0f, 4.0f, -9.0f, 10.0f, -11.0f, 12.0f, 5.0f, 6.0f, 7.0f, 8.0f, 13.0f, -14.0f, 15.0f, -16.0f};
model->setOperandValue(op21, op21_init, sizeof(float) * 16);
@@ -1042,24 +1352,72 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_nchw_quant8_2(Model *model) {
+void CreateModel_nchw_float16_2(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type20(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.5f, 128);
- OperandType type21(Type::TENSOR_INT32, {4}, 0.25f, 0);
- OperandType type25(Type::TENSOR_QUANT8_ASYMM, {1, 2, 3, 2}, 0.5f, 128);
- OperandType type26(Type::TENSOR_QUANT8_ASYMM, {1, 4, 2, 1}, 1.0f, 100);
+ OperandType type12(Type::TENSOR_FLOAT16, {1, 2, 2, 4});
+ OperandType type13(Type::TENSOR_FLOAT16, {4});
+ OperandType type32(Type::TENSOR_FLOAT16, {1, 2, 3, 2});
+ OperandType type33(Type::TENSOR_FLOAT16, {1, 4, 2, 1});
OperandType type4(Type::INT32, {});
// Phase 1, operands
- auto op11 = model->addOperand(&type25);
- auto op21 = model->addOperand(&type20);
- auto op31 = model->addOperand(&type21);
+ auto op11 = model->addOperand(&type32);
+ auto op21 = model->addOperand(&type12);
+ auto op31 = model->addOperand(&type13);
auto param8 = model->addOperand(&type4);
auto param9 = model->addOperand(&type4);
auto param10 = model->addOperand(&type4);
auto param11 = model->addOperand(&type4);
auto param12 = model->addOperand(&type4);
auto layout = model->addOperand(&type0);
- auto op41 = model->addOperand(&type26);
+ auto op41 = model->addOperand(&type33);
+ // Phase 2, operations
+ static _Float16 op21_init[] = {1.0f, 2.0f, 3.0f, 4.0f, -9.0f, 10.0f, -11.0f, 12.0f, 5.0f, 6.0f, 7.0f, 8.0f, 13.0f, -14.0f, 15.0f, -16.0f};
+ model->setOperandValue(op21, op21_init, sizeof(_Float16) * 16);
+ static _Float16 op31_init[] = {1.0f, 2.0f, 3.0f, 4.0f};
+ model->setOperandValue(op31, op31_init, sizeof(_Float16) * 4);
+ static int32_t param8_init[] = {2};
+ model->setOperandValue(param8, param8_init, sizeof(int32_t) * 1);
+ static int32_t param9_init[] = {1};
+ model->setOperandValue(param9, param9_init, sizeof(int32_t) * 1);
+ static int32_t param10_init[] = {1};
+ model->setOperandValue(param10, param10_init, sizeof(int32_t) * 1);
+ static int32_t param11_init[] = {2};
+ model->setOperandValue(param11, param11_init, sizeof(int32_t) * 1);
+ static int32_t param12_init[] = {0};
+ model->setOperandValue(param12, param12_init, sizeof(int32_t) * 1);
+ static bool layout_init[] = {true};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op11, op21, op31, param8, param9, param10, param11, param12, layout}, {op41});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op11},
+ {op41});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nchw_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nchw_quant8_2(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type27(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.5f, 128);
+ OperandType type28(Type::TENSOR_INT32, {4}, 0.25f, 0);
+ OperandType type34(Type::TENSOR_QUANT8_ASYMM, {1, 2, 3, 2}, 0.5f, 128);
+ OperandType type35(Type::TENSOR_QUANT8_ASYMM, {1, 4, 2, 1}, 1.0f, 100);
+ OperandType type4(Type::INT32, {});
+ // Phase 1, operands
+ auto op11 = model->addOperand(&type34);
+ auto op21 = model->addOperand(&type27);
+ auto op31 = model->addOperand(&type28);
+ auto param8 = model->addOperand(&type4);
+ auto param9 = model->addOperand(&type4);
+ auto param10 = model->addOperand(&type4);
+ auto param11 = model->addOperand(&type4);
+ auto param12 = model->addOperand(&type4);
+ auto layout = model->addOperand(&type0);
+ auto op41 = model->addOperand(&type35);
// Phase 2, operations
static uint8_t op21_init[] = {130, 132, 134, 136, 110, 148, 106, 152, 138, 140, 142, 144, 154, 100, 158, 96};
model->setOperandValue(op21, op21_init, sizeof(uint8_t) * 16);
@@ -1093,12 +1451,12 @@
void CreateModel_nchw_weight_as_input_2(Model *model) {
OperandType type0(Type::BOOL, {});
OperandType type2(Type::TENSOR_FLOAT32, {1, 2, 2, 4});
- OperandType type23(Type::TENSOR_FLOAT32, {1, 2, 3, 2});
- OperandType type24(Type::TENSOR_FLOAT32, {1, 4, 2, 1});
OperandType type3(Type::TENSOR_FLOAT32, {4});
+ OperandType type30(Type::TENSOR_FLOAT32, {1, 2, 3, 2});
+ OperandType type31(Type::TENSOR_FLOAT32, {1, 4, 2, 1});
OperandType type4(Type::INT32, {});
// Phase 1, operands
- auto op11 = model->addOperand(&type23);
+ auto op11 = model->addOperand(&type30);
auto op21 = model->addOperand(&type2);
auto op31 = model->addOperand(&type3);
auto param8 = model->addOperand(&type4);
@@ -1107,7 +1465,7 @@
auto param11 = model->addOperand(&type4);
auto param12 = model->addOperand(&type4);
auto layout = model->addOperand(&type0);
- auto op41 = model->addOperand(&type24);
+ auto op41 = model->addOperand(&type31);
// Phase 2, operations
static int32_t param8_init[] = {2};
model->setOperandValue(param8, param8_init, sizeof(int32_t) * 1);
@@ -1137,12 +1495,12 @@
void CreateModel_nchw_weight_as_input_relaxed_2(Model *model) {
OperandType type0(Type::BOOL, {});
OperandType type2(Type::TENSOR_FLOAT32, {1, 2, 2, 4});
- OperandType type23(Type::TENSOR_FLOAT32, {1, 2, 3, 2});
- OperandType type24(Type::TENSOR_FLOAT32, {1, 4, 2, 1});
OperandType type3(Type::TENSOR_FLOAT32, {4});
+ OperandType type30(Type::TENSOR_FLOAT32, {1, 2, 3, 2});
+ OperandType type31(Type::TENSOR_FLOAT32, {1, 4, 2, 1});
OperandType type4(Type::INT32, {});
// Phase 1, operands
- auto op11 = model->addOperand(&type23);
+ auto op11 = model->addOperand(&type30);
auto op21 = model->addOperand(&type2);
auto op31 = model->addOperand(&type3);
auto param8 = model->addOperand(&type4);
@@ -1151,7 +1509,7 @@
auto param11 = model->addOperand(&type4);
auto param12 = model->addOperand(&type4);
auto layout = model->addOperand(&type0);
- auto op41 = model->addOperand(&type24);
+ auto op41 = model->addOperand(&type31);
// Phase 2, operations
static int32_t param8_init[] = {2};
model->setOperandValue(param8, param8_init, sizeof(int32_t) * 1);
@@ -1180,24 +1538,68 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_nchw_weight_as_input_quant8_2(Model *model) {
+void CreateModel_nchw_weight_as_input_float16_2(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type20(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.5f, 128);
- OperandType type21(Type::TENSOR_INT32, {4}, 0.25f, 0);
- OperandType type25(Type::TENSOR_QUANT8_ASYMM, {1, 2, 3, 2}, 0.5f, 128);
- OperandType type26(Type::TENSOR_QUANT8_ASYMM, {1, 4, 2, 1}, 1.0f, 100);
+ OperandType type12(Type::TENSOR_FLOAT16, {1, 2, 2, 4});
+ OperandType type13(Type::TENSOR_FLOAT16, {4});
+ OperandType type32(Type::TENSOR_FLOAT16, {1, 2, 3, 2});
+ OperandType type33(Type::TENSOR_FLOAT16, {1, 4, 2, 1});
OperandType type4(Type::INT32, {});
// Phase 1, operands
- auto op11 = model->addOperand(&type25);
- auto op21 = model->addOperand(&type20);
- auto op31 = model->addOperand(&type21);
+ auto op11 = model->addOperand(&type32);
+ auto op21 = model->addOperand(&type12);
+ auto op31 = model->addOperand(&type13);
auto param8 = model->addOperand(&type4);
auto param9 = model->addOperand(&type4);
auto param10 = model->addOperand(&type4);
auto param11 = model->addOperand(&type4);
auto param12 = model->addOperand(&type4);
auto layout = model->addOperand(&type0);
- auto op41 = model->addOperand(&type26);
+ auto op41 = model->addOperand(&type33);
+ // Phase 2, operations
+ static int32_t param8_init[] = {2};
+ model->setOperandValue(param8, param8_init, sizeof(int32_t) * 1);
+ static int32_t param9_init[] = {1};
+ model->setOperandValue(param9, param9_init, sizeof(int32_t) * 1);
+ static int32_t param10_init[] = {1};
+ model->setOperandValue(param10, param10_init, sizeof(int32_t) * 1);
+ static int32_t param11_init[] = {2};
+ model->setOperandValue(param11, param11_init, sizeof(int32_t) * 1);
+ static int32_t param12_init[] = {0};
+ model->setOperandValue(param12, param12_init, sizeof(int32_t) * 1);
+ static bool layout_init[] = {true};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op11, op21, op31, param8, param9, param10, param11, param12, layout}, {op41});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op11, op21, op31},
+ {op41});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nchw_weight_as_input_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nchw_weight_as_input_quant8_2(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type27(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.5f, 128);
+ OperandType type28(Type::TENSOR_INT32, {4}, 0.25f, 0);
+ OperandType type34(Type::TENSOR_QUANT8_ASYMM, {1, 2, 3, 2}, 0.5f, 128);
+ OperandType type35(Type::TENSOR_QUANT8_ASYMM, {1, 4, 2, 1}, 1.0f, 100);
+ OperandType type4(Type::INT32, {});
+ // Phase 1, operands
+ auto op11 = model->addOperand(&type34);
+ auto op21 = model->addOperand(&type27);
+ auto op31 = model->addOperand(&type28);
+ auto param8 = model->addOperand(&type4);
+ auto param9 = model->addOperand(&type4);
+ auto param10 = model->addOperand(&type4);
+ auto param11 = model->addOperand(&type4);
+ auto param12 = model->addOperand(&type4);
+ auto layout = model->addOperand(&type0);
+ auto op41 = model->addOperand(&type35);
// Phase 2, operations
static int32_t param8_init[] = {2};
model->setOperandValue(param8, param8_init, sizeof(int32_t) * 1);
@@ -1338,17 +1740,16 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_large_nhwc_quant8(Model *model) {
+void CreateModel_large_nhwc_float16(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type27(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.5f, 100);
- OperandType type28(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.125f, 128);
- OperandType type29(Type::TENSOR_INT32, {2}, 0.0625f, 0);
- OperandType type30(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 2}, 2.0f, 128);
+ OperandType type36(Type::TENSOR_FLOAT16, {1, 2, 2, 2});
+ OperandType type37(Type::TENSOR_FLOAT16, {2});
+ OperandType type38(Type::TENSOR_FLOAT16, {1, 1, 1, 2});
OperandType type4(Type::INT32, {});
// Phase 1, operands
- auto op12 = model->addOperand(&type27);
- auto op22 = model->addOperand(&type28);
- auto op32 = model->addOperand(&type29);
+ auto op12 = model->addOperand(&type36);
+ auto op22 = model->addOperand(&type36);
+ auto op32 = model->addOperand(&type37);
auto param13 = model->addOperand(&type4);
auto param14 = model->addOperand(&type4);
auto param15 = model->addOperand(&type4);
@@ -1358,7 +1759,64 @@
auto param19 = model->addOperand(&type4);
auto param20 = model->addOperand(&type4);
auto layout = model->addOperand(&type0);
- auto op42 = model->addOperand(&type30);
+ auto op42 = model->addOperand(&type38);
+ // Phase 2, operations
+ static _Float16 op22_init[] = {0.25f, 0.0f, 0.25f, 1.0f, 0.25f, 0.0f, 0.25f, 1.0f};
+ model->setOperandValue(op22, op22_init, sizeof(_Float16) * 8);
+ static _Float16 op32_init[] = {100.0f, 200.0f};
+ model->setOperandValue(op32, op32_init, sizeof(_Float16) * 2);
+ static int32_t param13_init[] = {0};
+ model->setOperandValue(param13, param13_init, sizeof(int32_t) * 1);
+ static int32_t param14_init[] = {0};
+ model->setOperandValue(param14, param14_init, sizeof(int32_t) * 1);
+ static int32_t param15_init[] = {0};
+ model->setOperandValue(param15, param15_init, sizeof(int32_t) * 1);
+ static int32_t param16_init[] = {0};
+ model->setOperandValue(param16, param16_init, sizeof(int32_t) * 1);
+ static int32_t param17_init[] = {1};
+ model->setOperandValue(param17, param17_init, sizeof(int32_t) * 1);
+ static int32_t param18_init[] = {1};
+ model->setOperandValue(param18, param18_init, sizeof(int32_t) * 1);
+ static int32_t param19_init[] = {1};
+ model->setOperandValue(param19, param19_init, sizeof(int32_t) * 1);
+ static int32_t param20_init[] = {0};
+ model->setOperandValue(param20, param20_init, sizeof(int32_t) * 1);
+ static bool layout_init[] = {false};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op12, op22, op32, param13, param14, param15, param16, param17, param18, param19, param20, layout}, {op42});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op12},
+ {op42});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_large_nhwc_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_large_nhwc_quant8(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type39(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.5f, 100);
+ OperandType type4(Type::INT32, {});
+ OperandType type40(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.125f, 128);
+ OperandType type41(Type::TENSOR_INT32, {2}, 0.0625f, 0);
+ OperandType type42(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 2}, 2.0f, 128);
+ // Phase 1, operands
+ auto op12 = model->addOperand(&type39);
+ auto op22 = model->addOperand(&type40);
+ auto op32 = model->addOperand(&type41);
+ auto param13 = model->addOperand(&type4);
+ auto param14 = model->addOperand(&type4);
+ auto param15 = model->addOperand(&type4);
+ auto param16 = model->addOperand(&type4);
+ auto param17 = model->addOperand(&type4);
+ auto param18 = model->addOperand(&type4);
+ auto param19 = model->addOperand(&type4);
+ auto param20 = model->addOperand(&type4);
+ auto layout = model->addOperand(&type0);
+ auto op42 = model->addOperand(&type42);
// Phase 2, operations
static uint8_t op22_init[] = {130, 128, 130, 136, 130, 128, 130, 136};
model->setOperandValue(op22, op22_init, sizeof(uint8_t) * 8);
@@ -1501,17 +1959,16 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_large_nhwc_weight_as_input_quant8(Model *model) {
+void CreateModel_large_nhwc_weight_as_input_float16(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type27(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.5f, 100);
- OperandType type28(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.125f, 128);
- OperandType type29(Type::TENSOR_INT32, {2}, 0.0625f, 0);
- OperandType type30(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 2}, 2.0f, 128);
+ OperandType type36(Type::TENSOR_FLOAT16, {1, 2, 2, 2});
+ OperandType type37(Type::TENSOR_FLOAT16, {2});
+ OperandType type38(Type::TENSOR_FLOAT16, {1, 1, 1, 2});
OperandType type4(Type::INT32, {});
// Phase 1, operands
- auto op12 = model->addOperand(&type27);
- auto op22 = model->addOperand(&type28);
- auto op32 = model->addOperand(&type29);
+ auto op12 = model->addOperand(&type36);
+ auto op22 = model->addOperand(&type36);
+ auto op32 = model->addOperand(&type37);
auto param13 = model->addOperand(&type4);
auto param14 = model->addOperand(&type4);
auto param15 = model->addOperand(&type4);
@@ -1521,7 +1978,60 @@
auto param19 = model->addOperand(&type4);
auto param20 = model->addOperand(&type4);
auto layout = model->addOperand(&type0);
- auto op42 = model->addOperand(&type30);
+ auto op42 = model->addOperand(&type38);
+ // Phase 2, operations
+ static int32_t param13_init[] = {0};
+ model->setOperandValue(param13, param13_init, sizeof(int32_t) * 1);
+ static int32_t param14_init[] = {0};
+ model->setOperandValue(param14, param14_init, sizeof(int32_t) * 1);
+ static int32_t param15_init[] = {0};
+ model->setOperandValue(param15, param15_init, sizeof(int32_t) * 1);
+ static int32_t param16_init[] = {0};
+ model->setOperandValue(param16, param16_init, sizeof(int32_t) * 1);
+ static int32_t param17_init[] = {1};
+ model->setOperandValue(param17, param17_init, sizeof(int32_t) * 1);
+ static int32_t param18_init[] = {1};
+ model->setOperandValue(param18, param18_init, sizeof(int32_t) * 1);
+ static int32_t param19_init[] = {1};
+ model->setOperandValue(param19, param19_init, sizeof(int32_t) * 1);
+ static int32_t param20_init[] = {0};
+ model->setOperandValue(param20, param20_init, sizeof(int32_t) * 1);
+ static bool layout_init[] = {false};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op12, op22, op32, param13, param14, param15, param16, param17, param18, param19, param20, layout}, {op42});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op12, op22, op32},
+ {op42});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_large_nhwc_weight_as_input_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_large_nhwc_weight_as_input_quant8(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type39(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.5f, 100);
+ OperandType type4(Type::INT32, {});
+ OperandType type40(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.125f, 128);
+ OperandType type41(Type::TENSOR_INT32, {2}, 0.0625f, 0);
+ OperandType type42(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 2}, 2.0f, 128);
+ // Phase 1, operands
+ auto op12 = model->addOperand(&type39);
+ auto op22 = model->addOperand(&type40);
+ auto op32 = model->addOperand(&type41);
+ auto param13 = model->addOperand(&type4);
+ auto param14 = model->addOperand(&type4);
+ auto param15 = model->addOperand(&type4);
+ auto param16 = model->addOperand(&type4);
+ auto param17 = model->addOperand(&type4);
+ auto param18 = model->addOperand(&type4);
+ auto param19 = model->addOperand(&type4);
+ auto param20 = model->addOperand(&type4);
+ auto layout = model->addOperand(&type0);
+ auto op42 = model->addOperand(&type42);
// Phase 2, operations
static int32_t param13_init[] = {0};
model->setOperandValue(param13, param13_init, sizeof(int32_t) * 1);
@@ -1556,8 +2066,8 @@
void CreateModel_large_nchw(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type31(Type::TENSOR_FLOAT32, {1, 2, 1, 1});
OperandType type4(Type::INT32, {});
+ OperandType type43(Type::TENSOR_FLOAT32, {1, 2, 1, 1});
OperandType type7(Type::TENSOR_FLOAT32, {1, 2, 2, 2});
OperandType type8(Type::TENSOR_FLOAT32, {2});
// Phase 1, operands
@@ -1573,7 +2083,7 @@
auto param19 = model->addOperand(&type4);
auto param20 = model->addOperand(&type4);
auto layout = model->addOperand(&type0);
- auto op42 = model->addOperand(&type31);
+ auto op42 = model->addOperand(&type43);
// Phase 2, operations
static float op22_init[] = {0.25f, 0.0f, 0.25f, 1.0f, 0.25f, 0.0f, 0.25f, 1.0f};
model->setOperandValue(op22, op22_init, sizeof(float) * 8);
@@ -1612,8 +2122,8 @@
void CreateModel_large_nchw_relaxed(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type31(Type::TENSOR_FLOAT32, {1, 2, 1, 1});
OperandType type4(Type::INT32, {});
+ OperandType type43(Type::TENSOR_FLOAT32, {1, 2, 1, 1});
OperandType type7(Type::TENSOR_FLOAT32, {1, 2, 2, 2});
OperandType type8(Type::TENSOR_FLOAT32, {2});
// Phase 1, operands
@@ -1629,7 +2139,7 @@
auto param19 = model->addOperand(&type4);
auto param20 = model->addOperand(&type4);
auto layout = model->addOperand(&type0);
- auto op42 = model->addOperand(&type31);
+ auto op42 = model->addOperand(&type43);
// Phase 2, operations
static float op22_init[] = {0.25f, 0.0f, 0.25f, 1.0f, 0.25f, 0.0f, 0.25f, 1.0f};
model->setOperandValue(op22, op22_init, sizeof(float) * 8);
@@ -1668,17 +2178,16 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_large_nchw_quant8(Model *model) {
+void CreateModel_large_nchw_float16(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type27(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.5f, 100);
- OperandType type28(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.125f, 128);
- OperandType type29(Type::TENSOR_INT32, {2}, 0.0625f, 0);
- OperandType type32(Type::TENSOR_QUANT8_ASYMM, {1, 2, 1, 1}, 2.0f, 128);
+ OperandType type36(Type::TENSOR_FLOAT16, {1, 2, 2, 2});
+ OperandType type37(Type::TENSOR_FLOAT16, {2});
OperandType type4(Type::INT32, {});
+ OperandType type44(Type::TENSOR_FLOAT16, {1, 2, 1, 1});
// Phase 1, operands
- auto op12 = model->addOperand(&type27);
- auto op22 = model->addOperand(&type28);
- auto op32 = model->addOperand(&type29);
+ auto op12 = model->addOperand(&type36);
+ auto op22 = model->addOperand(&type36);
+ auto op32 = model->addOperand(&type37);
auto param13 = model->addOperand(&type4);
auto param14 = model->addOperand(&type4);
auto param15 = model->addOperand(&type4);
@@ -1688,7 +2197,64 @@
auto param19 = model->addOperand(&type4);
auto param20 = model->addOperand(&type4);
auto layout = model->addOperand(&type0);
- auto op42 = model->addOperand(&type32);
+ auto op42 = model->addOperand(&type44);
+ // Phase 2, operations
+ static _Float16 op22_init[] = {0.25f, 0.0f, 0.25f, 1.0f, 0.25f, 0.0f, 0.25f, 1.0f};
+ model->setOperandValue(op22, op22_init, sizeof(_Float16) * 8);
+ static _Float16 op32_init[] = {100.0f, 200.0f};
+ model->setOperandValue(op32, op32_init, sizeof(_Float16) * 2);
+ static int32_t param13_init[] = {0};
+ model->setOperandValue(param13, param13_init, sizeof(int32_t) * 1);
+ static int32_t param14_init[] = {0};
+ model->setOperandValue(param14, param14_init, sizeof(int32_t) * 1);
+ static int32_t param15_init[] = {0};
+ model->setOperandValue(param15, param15_init, sizeof(int32_t) * 1);
+ static int32_t param16_init[] = {0};
+ model->setOperandValue(param16, param16_init, sizeof(int32_t) * 1);
+ static int32_t param17_init[] = {1};
+ model->setOperandValue(param17, param17_init, sizeof(int32_t) * 1);
+ static int32_t param18_init[] = {1};
+ model->setOperandValue(param18, param18_init, sizeof(int32_t) * 1);
+ static int32_t param19_init[] = {1};
+ model->setOperandValue(param19, param19_init, sizeof(int32_t) * 1);
+ static int32_t param20_init[] = {0};
+ model->setOperandValue(param20, param20_init, sizeof(int32_t) * 1);
+ static bool layout_init[] = {true};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op12, op22, op32, param13, param14, param15, param16, param17, param18, param19, param20, layout}, {op42});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op12},
+ {op42});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_large_nchw_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_large_nchw_quant8(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type39(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.5f, 100);
+ OperandType type4(Type::INT32, {});
+ OperandType type40(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.125f, 128);
+ OperandType type41(Type::TENSOR_INT32, {2}, 0.0625f, 0);
+ OperandType type45(Type::TENSOR_QUANT8_ASYMM, {1, 2, 1, 1}, 2.0f, 128);
+ // Phase 1, operands
+ auto op12 = model->addOperand(&type39);
+ auto op22 = model->addOperand(&type40);
+ auto op32 = model->addOperand(&type41);
+ auto param13 = model->addOperand(&type4);
+ auto param14 = model->addOperand(&type4);
+ auto param15 = model->addOperand(&type4);
+ auto param16 = model->addOperand(&type4);
+ auto param17 = model->addOperand(&type4);
+ auto param18 = model->addOperand(&type4);
+ auto param19 = model->addOperand(&type4);
+ auto param20 = model->addOperand(&type4);
+ auto layout = model->addOperand(&type0);
+ auto op42 = model->addOperand(&type45);
// Phase 2, operations
static uint8_t op22_init[] = {130, 128, 130, 136, 130, 128, 130, 136};
model->setOperandValue(op22, op22_init, sizeof(uint8_t) * 8);
@@ -1727,8 +2293,8 @@
void CreateModel_large_nchw_weight_as_input(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type31(Type::TENSOR_FLOAT32, {1, 2, 1, 1});
OperandType type4(Type::INT32, {});
+ OperandType type43(Type::TENSOR_FLOAT32, {1, 2, 1, 1});
OperandType type7(Type::TENSOR_FLOAT32, {1, 2, 2, 2});
OperandType type8(Type::TENSOR_FLOAT32, {2});
// Phase 1, operands
@@ -1744,7 +2310,7 @@
auto param19 = model->addOperand(&type4);
auto param20 = model->addOperand(&type4);
auto layout = model->addOperand(&type0);
- auto op42 = model->addOperand(&type31);
+ auto op42 = model->addOperand(&type43);
// Phase 2, operations
static int32_t param13_init[] = {0};
model->setOperandValue(param13, param13_init, sizeof(int32_t) * 1);
@@ -1779,8 +2345,8 @@
void CreateModel_large_nchw_weight_as_input_relaxed(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type31(Type::TENSOR_FLOAT32, {1, 2, 1, 1});
OperandType type4(Type::INT32, {});
+ OperandType type43(Type::TENSOR_FLOAT32, {1, 2, 1, 1});
OperandType type7(Type::TENSOR_FLOAT32, {1, 2, 2, 2});
OperandType type8(Type::TENSOR_FLOAT32, {2});
// Phase 1, operands
@@ -1796,7 +2362,7 @@
auto param19 = model->addOperand(&type4);
auto param20 = model->addOperand(&type4);
auto layout = model->addOperand(&type0);
- auto op42 = model->addOperand(&type31);
+ auto op42 = model->addOperand(&type43);
// Phase 2, operations
static int32_t param13_init[] = {0};
model->setOperandValue(param13, param13_init, sizeof(int32_t) * 1);
@@ -1831,17 +2397,16 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_large_nchw_weight_as_input_quant8(Model *model) {
+void CreateModel_large_nchw_weight_as_input_float16(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type27(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.5f, 100);
- OperandType type28(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.125f, 128);
- OperandType type29(Type::TENSOR_INT32, {2}, 0.0625f, 0);
- OperandType type32(Type::TENSOR_QUANT8_ASYMM, {1, 2, 1, 1}, 2.0f, 128);
+ OperandType type36(Type::TENSOR_FLOAT16, {1, 2, 2, 2});
+ OperandType type37(Type::TENSOR_FLOAT16, {2});
OperandType type4(Type::INT32, {});
+ OperandType type44(Type::TENSOR_FLOAT16, {1, 2, 1, 1});
// Phase 1, operands
- auto op12 = model->addOperand(&type27);
- auto op22 = model->addOperand(&type28);
- auto op32 = model->addOperand(&type29);
+ auto op12 = model->addOperand(&type36);
+ auto op22 = model->addOperand(&type36);
+ auto op32 = model->addOperand(&type37);
auto param13 = model->addOperand(&type4);
auto param14 = model->addOperand(&type4);
auto param15 = model->addOperand(&type4);
@@ -1851,7 +2416,60 @@
auto param19 = model->addOperand(&type4);
auto param20 = model->addOperand(&type4);
auto layout = model->addOperand(&type0);
- auto op42 = model->addOperand(&type32);
+ auto op42 = model->addOperand(&type44);
+ // Phase 2, operations
+ static int32_t param13_init[] = {0};
+ model->setOperandValue(param13, param13_init, sizeof(int32_t) * 1);
+ static int32_t param14_init[] = {0};
+ model->setOperandValue(param14, param14_init, sizeof(int32_t) * 1);
+ static int32_t param15_init[] = {0};
+ model->setOperandValue(param15, param15_init, sizeof(int32_t) * 1);
+ static int32_t param16_init[] = {0};
+ model->setOperandValue(param16, param16_init, sizeof(int32_t) * 1);
+ static int32_t param17_init[] = {1};
+ model->setOperandValue(param17, param17_init, sizeof(int32_t) * 1);
+ static int32_t param18_init[] = {1};
+ model->setOperandValue(param18, param18_init, sizeof(int32_t) * 1);
+ static int32_t param19_init[] = {1};
+ model->setOperandValue(param19, param19_init, sizeof(int32_t) * 1);
+ static int32_t param20_init[] = {0};
+ model->setOperandValue(param20, param20_init, sizeof(int32_t) * 1);
+ static bool layout_init[] = {true};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op12, op22, op32, param13, param14, param15, param16, param17, param18, param19, param20, layout}, {op42});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op12, op22, op32},
+ {op42});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_large_nchw_weight_as_input_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_large_nchw_weight_as_input_quant8(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type39(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.5f, 100);
+ OperandType type4(Type::INT32, {});
+ OperandType type40(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.125f, 128);
+ OperandType type41(Type::TENSOR_INT32, {2}, 0.0625f, 0);
+ OperandType type45(Type::TENSOR_QUANT8_ASYMM, {1, 2, 1, 1}, 2.0f, 128);
+ // Phase 1, operands
+ auto op12 = model->addOperand(&type39);
+ auto op22 = model->addOperand(&type40);
+ auto op32 = model->addOperand(&type41);
+ auto param13 = model->addOperand(&type4);
+ auto param14 = model->addOperand(&type4);
+ auto param15 = model->addOperand(&type4);
+ auto param16 = model->addOperand(&type4);
+ auto param17 = model->addOperand(&type4);
+ auto param18 = model->addOperand(&type4);
+ auto param19 = model->addOperand(&type4);
+ auto param20 = model->addOperand(&type4);
+ auto layout = model->addOperand(&type0);
+ auto op42 = model->addOperand(&type45);
// Phase 2, operations
static int32_t param13_init[] = {0};
model->setOperandValue(param13, param13_init, sizeof(int32_t) * 1);
@@ -1998,17 +2616,16 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_large_nhwc_quant8_2(Model *model) {
+void CreateModel_large_nhwc_float16_2(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type20(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.5f, 128);
- OperandType type33(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.25f, 0);
- OperandType type34(Type::TENSOR_INT32, {4}, 0.125f, 0);
- OperandType type35(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 4}, 50.0f, 0);
+ OperandType type12(Type::TENSOR_FLOAT16, {1, 2, 2, 4});
+ OperandType type13(Type::TENSOR_FLOAT16, {4});
OperandType type4(Type::INT32, {});
+ OperandType type46(Type::TENSOR_FLOAT16, {1, 1, 1, 4});
// Phase 1, operands
- auto op13 = model->addOperand(&type20);
- auto op23 = model->addOperand(&type33);
- auto op33 = model->addOperand(&type34);
+ auto op13 = model->addOperand(&type12);
+ auto op23 = model->addOperand(&type12);
+ auto op33 = model->addOperand(&type13);
auto param21 = model->addOperand(&type4);
auto param22 = model->addOperand(&type4);
auto param23 = model->addOperand(&type4);
@@ -2018,7 +2635,64 @@
auto param27 = model->addOperand(&type4);
auto param28 = model->addOperand(&type4);
auto layout = model->addOperand(&type0);
- auto op43 = model->addOperand(&type35);
+ auto op43 = model->addOperand(&type46);
+ // Phase 2, operations
+ static _Float16 op23_init[] = {0.25f, 0.0f, 10.0f, 50.0f, 0.25f, 1.0f, 20.0f, 50.0f, 0.25f, 0.0f, 30.0f, 50.0f, 0.25f, 1.0f, 40.0f, 50.0f};
+ model->setOperandValue(op23, op23_init, sizeof(_Float16) * 16);
+ static _Float16 op33_init[] = {6000.0f, 7000.0f, 8000.0f, 9000.0f};
+ model->setOperandValue(op33, op33_init, sizeof(_Float16) * 4);
+ static int32_t param21_init[] = {0};
+ model->setOperandValue(param21, param21_init, sizeof(int32_t) * 1);
+ static int32_t param22_init[] = {0};
+ model->setOperandValue(param22, param22_init, sizeof(int32_t) * 1);
+ static int32_t param23_init[] = {0};
+ model->setOperandValue(param23, param23_init, sizeof(int32_t) * 1);
+ static int32_t param24_init[] = {0};
+ model->setOperandValue(param24, param24_init, sizeof(int32_t) * 1);
+ static int32_t param25_init[] = {1};
+ model->setOperandValue(param25, param25_init, sizeof(int32_t) * 1);
+ static int32_t param26_init[] = {1};
+ model->setOperandValue(param26, param26_init, sizeof(int32_t) * 1);
+ static int32_t param27_init[] = {1};
+ model->setOperandValue(param27, param27_init, sizeof(int32_t) * 1);
+ static int32_t param28_init[] = {0};
+ model->setOperandValue(param28, param28_init, sizeof(int32_t) * 1);
+ static bool layout_init[] = {false};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op13, op23, op33, param21, param22, param23, param24, param25, param26, param27, param28, layout}, {op43});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op13},
+ {op43});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_large_nhwc_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_large_nhwc_quant8_2(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type27(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.5f, 128);
+ OperandType type4(Type::INT32, {});
+ OperandType type47(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.25f, 0);
+ OperandType type48(Type::TENSOR_INT32, {4}, 0.125f, 0);
+ OperandType type49(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 4}, 50.0f, 0);
+ // Phase 1, operands
+ auto op13 = model->addOperand(&type27);
+ auto op23 = model->addOperand(&type47);
+ auto op33 = model->addOperand(&type48);
+ auto param21 = model->addOperand(&type4);
+ auto param22 = model->addOperand(&type4);
+ auto param23 = model->addOperand(&type4);
+ auto param24 = model->addOperand(&type4);
+ auto param25 = model->addOperand(&type4);
+ auto param26 = model->addOperand(&type4);
+ auto param27 = model->addOperand(&type4);
+ auto param28 = model->addOperand(&type4);
+ auto layout = model->addOperand(&type0);
+ auto op43 = model->addOperand(&type49);
// Phase 2, operations
static uint8_t op23_init[] = {1, 0, 40, 200, 1, 4, 80, 200, 1, 0, 120, 200, 1, 4, 160, 200};
model->setOperandValue(op23, op23_init, sizeof(uint8_t) * 16);
@@ -2161,17 +2835,16 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_large_nhwc_weight_as_input_quant8_2(Model *model) {
+void CreateModel_large_nhwc_weight_as_input_float16_2(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type20(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.5f, 128);
- OperandType type33(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.25f, 0);
- OperandType type34(Type::TENSOR_INT32, {4}, 0.125f, 0);
- OperandType type35(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 4}, 50.0f, 0);
+ OperandType type12(Type::TENSOR_FLOAT16, {1, 2, 2, 4});
+ OperandType type13(Type::TENSOR_FLOAT16, {4});
OperandType type4(Type::INT32, {});
+ OperandType type46(Type::TENSOR_FLOAT16, {1, 1, 1, 4});
// Phase 1, operands
- auto op13 = model->addOperand(&type20);
- auto op23 = model->addOperand(&type33);
- auto op33 = model->addOperand(&type34);
+ auto op13 = model->addOperand(&type12);
+ auto op23 = model->addOperand(&type12);
+ auto op33 = model->addOperand(&type13);
auto param21 = model->addOperand(&type4);
auto param22 = model->addOperand(&type4);
auto param23 = model->addOperand(&type4);
@@ -2181,7 +2854,60 @@
auto param27 = model->addOperand(&type4);
auto param28 = model->addOperand(&type4);
auto layout = model->addOperand(&type0);
- auto op43 = model->addOperand(&type35);
+ auto op43 = model->addOperand(&type46);
+ // Phase 2, operations
+ static int32_t param21_init[] = {0};
+ model->setOperandValue(param21, param21_init, sizeof(int32_t) * 1);
+ static int32_t param22_init[] = {0};
+ model->setOperandValue(param22, param22_init, sizeof(int32_t) * 1);
+ static int32_t param23_init[] = {0};
+ model->setOperandValue(param23, param23_init, sizeof(int32_t) * 1);
+ static int32_t param24_init[] = {0};
+ model->setOperandValue(param24, param24_init, sizeof(int32_t) * 1);
+ static int32_t param25_init[] = {1};
+ model->setOperandValue(param25, param25_init, sizeof(int32_t) * 1);
+ static int32_t param26_init[] = {1};
+ model->setOperandValue(param26, param26_init, sizeof(int32_t) * 1);
+ static int32_t param27_init[] = {1};
+ model->setOperandValue(param27, param27_init, sizeof(int32_t) * 1);
+ static int32_t param28_init[] = {0};
+ model->setOperandValue(param28, param28_init, sizeof(int32_t) * 1);
+ static bool layout_init[] = {false};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op13, op23, op33, param21, param22, param23, param24, param25, param26, param27, param28, layout}, {op43});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op13, op23, op33},
+ {op43});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_large_nhwc_weight_as_input_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_large_nhwc_weight_as_input_quant8_2(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type27(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.5f, 128);
+ OperandType type4(Type::INT32, {});
+ OperandType type47(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.25f, 0);
+ OperandType type48(Type::TENSOR_INT32, {4}, 0.125f, 0);
+ OperandType type49(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 4}, 50.0f, 0);
+ // Phase 1, operands
+ auto op13 = model->addOperand(&type27);
+ auto op23 = model->addOperand(&type47);
+ auto op33 = model->addOperand(&type48);
+ auto param21 = model->addOperand(&type4);
+ auto param22 = model->addOperand(&type4);
+ auto param23 = model->addOperand(&type4);
+ auto param24 = model->addOperand(&type4);
+ auto param25 = model->addOperand(&type4);
+ auto param26 = model->addOperand(&type4);
+ auto param27 = model->addOperand(&type4);
+ auto param28 = model->addOperand(&type4);
+ auto layout = model->addOperand(&type0);
+ auto op43 = model->addOperand(&type49);
// Phase 2, operations
static int32_t param21_init[] = {0};
model->setOperandValue(param21, param21_init, sizeof(int32_t) * 1);
@@ -2216,13 +2942,13 @@
void CreateModel_large_nchw_2(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type16(Type::TENSOR_FLOAT32, {1, 4, 2, 2});
+ OperandType type19(Type::TENSOR_FLOAT32, {1, 4, 2, 2});
OperandType type2(Type::TENSOR_FLOAT32, {1, 2, 2, 4});
OperandType type3(Type::TENSOR_FLOAT32, {4});
- OperandType type36(Type::TENSOR_FLOAT32, {1, 4, 1, 1});
OperandType type4(Type::INT32, {});
+ OperandType type50(Type::TENSOR_FLOAT32, {1, 4, 1, 1});
// Phase 1, operands
- auto op13 = model->addOperand(&type16);
+ auto op13 = model->addOperand(&type19);
auto op23 = model->addOperand(&type2);
auto op33 = model->addOperand(&type3);
auto param21 = model->addOperand(&type4);
@@ -2234,7 +2960,7 @@
auto param27 = model->addOperand(&type4);
auto param28 = model->addOperand(&type4);
auto layout = model->addOperand(&type0);
- auto op43 = model->addOperand(&type36);
+ auto op43 = model->addOperand(&type50);
// Phase 2, operations
static float op23_init[] = {0.25f, 0.0f, 10.0f, 50.0f, 0.25f, 1.0f, 20.0f, 50.0f, 0.25f, 0.0f, 30.0f, 50.0f, 0.25f, 1.0f, 40.0f, 50.0f};
model->setOperandValue(op23, op23_init, sizeof(float) * 16);
@@ -2273,13 +2999,13 @@
void CreateModel_large_nchw_relaxed_2(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type16(Type::TENSOR_FLOAT32, {1, 4, 2, 2});
+ OperandType type19(Type::TENSOR_FLOAT32, {1, 4, 2, 2});
OperandType type2(Type::TENSOR_FLOAT32, {1, 2, 2, 4});
OperandType type3(Type::TENSOR_FLOAT32, {4});
- OperandType type36(Type::TENSOR_FLOAT32, {1, 4, 1, 1});
OperandType type4(Type::INT32, {});
+ OperandType type50(Type::TENSOR_FLOAT32, {1, 4, 1, 1});
// Phase 1, operands
- auto op13 = model->addOperand(&type16);
+ auto op13 = model->addOperand(&type19);
auto op23 = model->addOperand(&type2);
auto op33 = model->addOperand(&type3);
auto param21 = model->addOperand(&type4);
@@ -2291,7 +3017,7 @@
auto param27 = model->addOperand(&type4);
auto param28 = model->addOperand(&type4);
auto layout = model->addOperand(&type0);
- auto op43 = model->addOperand(&type36);
+ auto op43 = model->addOperand(&type50);
// Phase 2, operations
static float op23_init[] = {0.25f, 0.0f, 10.0f, 50.0f, 0.25f, 1.0f, 20.0f, 50.0f, 0.25f, 0.0f, 30.0f, 50.0f, 0.25f, 1.0f, 40.0f, 50.0f};
model->setOperandValue(op23, op23_init, sizeof(float) * 16);
@@ -2330,17 +3056,17 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_large_nchw_quant8_2(Model *model) {
+void CreateModel_large_nchw_float16_2(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type33(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.25f, 0);
- OperandType type34(Type::TENSOR_INT32, {4}, 0.125f, 0);
- OperandType type37(Type::TENSOR_QUANT8_ASYMM, {1, 4, 2, 2}, 0.5f, 128);
- OperandType type38(Type::TENSOR_QUANT8_ASYMM, {1, 4, 1, 1}, 50.0f, 0);
+ OperandType type12(Type::TENSOR_FLOAT16, {1, 2, 2, 4});
+ OperandType type13(Type::TENSOR_FLOAT16, {4});
+ OperandType type21(Type::TENSOR_FLOAT16, {1, 4, 2, 2});
OperandType type4(Type::INT32, {});
+ OperandType type51(Type::TENSOR_FLOAT16, {1, 4, 1, 1});
// Phase 1, operands
- auto op13 = model->addOperand(&type37);
- auto op23 = model->addOperand(&type33);
- auto op33 = model->addOperand(&type34);
+ auto op13 = model->addOperand(&type21);
+ auto op23 = model->addOperand(&type12);
+ auto op33 = model->addOperand(&type13);
auto param21 = model->addOperand(&type4);
auto param22 = model->addOperand(&type4);
auto param23 = model->addOperand(&type4);
@@ -2350,7 +3076,64 @@
auto param27 = model->addOperand(&type4);
auto param28 = model->addOperand(&type4);
auto layout = model->addOperand(&type0);
- auto op43 = model->addOperand(&type38);
+ auto op43 = model->addOperand(&type51);
+ // Phase 2, operations
+ static _Float16 op23_init[] = {0.25f, 0.0f, 10.0f, 50.0f, 0.25f, 1.0f, 20.0f, 50.0f, 0.25f, 0.0f, 30.0f, 50.0f, 0.25f, 1.0f, 40.0f, 50.0f};
+ model->setOperandValue(op23, op23_init, sizeof(_Float16) * 16);
+ static _Float16 op33_init[] = {6000.0f, 7000.0f, 8000.0f, 9000.0f};
+ model->setOperandValue(op33, op33_init, sizeof(_Float16) * 4);
+ static int32_t param21_init[] = {0};
+ model->setOperandValue(param21, param21_init, sizeof(int32_t) * 1);
+ static int32_t param22_init[] = {0};
+ model->setOperandValue(param22, param22_init, sizeof(int32_t) * 1);
+ static int32_t param23_init[] = {0};
+ model->setOperandValue(param23, param23_init, sizeof(int32_t) * 1);
+ static int32_t param24_init[] = {0};
+ model->setOperandValue(param24, param24_init, sizeof(int32_t) * 1);
+ static int32_t param25_init[] = {1};
+ model->setOperandValue(param25, param25_init, sizeof(int32_t) * 1);
+ static int32_t param26_init[] = {1};
+ model->setOperandValue(param26, param26_init, sizeof(int32_t) * 1);
+ static int32_t param27_init[] = {1};
+ model->setOperandValue(param27, param27_init, sizeof(int32_t) * 1);
+ static int32_t param28_init[] = {0};
+ model->setOperandValue(param28, param28_init, sizeof(int32_t) * 1);
+ static bool layout_init[] = {true};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op13, op23, op33, param21, param22, param23, param24, param25, param26, param27, param28, layout}, {op43});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op13},
+ {op43});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_large_nchw_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_large_nchw_quant8_2(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type4(Type::INT32, {});
+ OperandType type47(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.25f, 0);
+ OperandType type48(Type::TENSOR_INT32, {4}, 0.125f, 0);
+ OperandType type52(Type::TENSOR_QUANT8_ASYMM, {1, 4, 2, 2}, 0.5f, 128);
+ OperandType type53(Type::TENSOR_QUANT8_ASYMM, {1, 4, 1, 1}, 50.0f, 0);
+ // Phase 1, operands
+ auto op13 = model->addOperand(&type52);
+ auto op23 = model->addOperand(&type47);
+ auto op33 = model->addOperand(&type48);
+ auto param21 = model->addOperand(&type4);
+ auto param22 = model->addOperand(&type4);
+ auto param23 = model->addOperand(&type4);
+ auto param24 = model->addOperand(&type4);
+ auto param25 = model->addOperand(&type4);
+ auto param26 = model->addOperand(&type4);
+ auto param27 = model->addOperand(&type4);
+ auto param28 = model->addOperand(&type4);
+ auto layout = model->addOperand(&type0);
+ auto op43 = model->addOperand(&type53);
// Phase 2, operations
static uint8_t op23_init[] = {1, 0, 40, 200, 1, 4, 80, 200, 1, 0, 120, 200, 1, 4, 160, 200};
model->setOperandValue(op23, op23_init, sizeof(uint8_t) * 16);
@@ -2389,13 +3172,13 @@
void CreateModel_large_nchw_weight_as_input_2(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type16(Type::TENSOR_FLOAT32, {1, 4, 2, 2});
+ OperandType type19(Type::TENSOR_FLOAT32, {1, 4, 2, 2});
OperandType type2(Type::TENSOR_FLOAT32, {1, 2, 2, 4});
OperandType type3(Type::TENSOR_FLOAT32, {4});
- OperandType type36(Type::TENSOR_FLOAT32, {1, 4, 1, 1});
OperandType type4(Type::INT32, {});
+ OperandType type50(Type::TENSOR_FLOAT32, {1, 4, 1, 1});
// Phase 1, operands
- auto op13 = model->addOperand(&type16);
+ auto op13 = model->addOperand(&type19);
auto op23 = model->addOperand(&type2);
auto op33 = model->addOperand(&type3);
auto param21 = model->addOperand(&type4);
@@ -2407,7 +3190,7 @@
auto param27 = model->addOperand(&type4);
auto param28 = model->addOperand(&type4);
auto layout = model->addOperand(&type0);
- auto op43 = model->addOperand(&type36);
+ auto op43 = model->addOperand(&type50);
// Phase 2, operations
static int32_t param21_init[] = {0};
model->setOperandValue(param21, param21_init, sizeof(int32_t) * 1);
@@ -2442,13 +3225,13 @@
void CreateModel_large_nchw_weight_as_input_relaxed_2(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type16(Type::TENSOR_FLOAT32, {1, 4, 2, 2});
+ OperandType type19(Type::TENSOR_FLOAT32, {1, 4, 2, 2});
OperandType type2(Type::TENSOR_FLOAT32, {1, 2, 2, 4});
OperandType type3(Type::TENSOR_FLOAT32, {4});
- OperandType type36(Type::TENSOR_FLOAT32, {1, 4, 1, 1});
OperandType type4(Type::INT32, {});
+ OperandType type50(Type::TENSOR_FLOAT32, {1, 4, 1, 1});
// Phase 1, operands
- auto op13 = model->addOperand(&type16);
+ auto op13 = model->addOperand(&type19);
auto op23 = model->addOperand(&type2);
auto op33 = model->addOperand(&type3);
auto param21 = model->addOperand(&type4);
@@ -2460,7 +3243,7 @@
auto param27 = model->addOperand(&type4);
auto param28 = model->addOperand(&type4);
auto layout = model->addOperand(&type0);
- auto op43 = model->addOperand(&type36);
+ auto op43 = model->addOperand(&type50);
// Phase 2, operations
static int32_t param21_init[] = {0};
model->setOperandValue(param21, param21_init, sizeof(int32_t) * 1);
@@ -2495,17 +3278,17 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_large_nchw_weight_as_input_quant8_2(Model *model) {
+void CreateModel_large_nchw_weight_as_input_float16_2(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type33(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.25f, 0);
- OperandType type34(Type::TENSOR_INT32, {4}, 0.125f, 0);
- OperandType type37(Type::TENSOR_QUANT8_ASYMM, {1, 4, 2, 2}, 0.5f, 128);
- OperandType type38(Type::TENSOR_QUANT8_ASYMM, {1, 4, 1, 1}, 50.0f, 0);
+ OperandType type12(Type::TENSOR_FLOAT16, {1, 2, 2, 4});
+ OperandType type13(Type::TENSOR_FLOAT16, {4});
+ OperandType type21(Type::TENSOR_FLOAT16, {1, 4, 2, 2});
OperandType type4(Type::INT32, {});
+ OperandType type51(Type::TENSOR_FLOAT16, {1, 4, 1, 1});
// Phase 1, operands
- auto op13 = model->addOperand(&type37);
- auto op23 = model->addOperand(&type33);
- auto op33 = model->addOperand(&type34);
+ auto op13 = model->addOperand(&type21);
+ auto op23 = model->addOperand(&type12);
+ auto op33 = model->addOperand(&type13);
auto param21 = model->addOperand(&type4);
auto param22 = model->addOperand(&type4);
auto param23 = model->addOperand(&type4);
@@ -2515,7 +3298,60 @@
auto param27 = model->addOperand(&type4);
auto param28 = model->addOperand(&type4);
auto layout = model->addOperand(&type0);
- auto op43 = model->addOperand(&type38);
+ auto op43 = model->addOperand(&type51);
+ // Phase 2, operations
+ static int32_t param21_init[] = {0};
+ model->setOperandValue(param21, param21_init, sizeof(int32_t) * 1);
+ static int32_t param22_init[] = {0};
+ model->setOperandValue(param22, param22_init, sizeof(int32_t) * 1);
+ static int32_t param23_init[] = {0};
+ model->setOperandValue(param23, param23_init, sizeof(int32_t) * 1);
+ static int32_t param24_init[] = {0};
+ model->setOperandValue(param24, param24_init, sizeof(int32_t) * 1);
+ static int32_t param25_init[] = {1};
+ model->setOperandValue(param25, param25_init, sizeof(int32_t) * 1);
+ static int32_t param26_init[] = {1};
+ model->setOperandValue(param26, param26_init, sizeof(int32_t) * 1);
+ static int32_t param27_init[] = {1};
+ model->setOperandValue(param27, param27_init, sizeof(int32_t) * 1);
+ static int32_t param28_init[] = {0};
+ model->setOperandValue(param28, param28_init, sizeof(int32_t) * 1);
+ static bool layout_init[] = {true};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op13, op23, op33, param21, param22, param23, param24, param25, param26, param27, param28, layout}, {op43});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op13, op23, op33},
+ {op43});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_large_nchw_weight_as_input_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_large_nchw_weight_as_input_quant8_2(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type4(Type::INT32, {});
+ OperandType type47(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.25f, 0);
+ OperandType type48(Type::TENSOR_INT32, {4}, 0.125f, 0);
+ OperandType type52(Type::TENSOR_QUANT8_ASYMM, {1, 4, 2, 2}, 0.5f, 128);
+ OperandType type53(Type::TENSOR_QUANT8_ASYMM, {1, 4, 1, 1}, 50.0f, 0);
+ // Phase 1, operands
+ auto op13 = model->addOperand(&type52);
+ auto op23 = model->addOperand(&type47);
+ auto op33 = model->addOperand(&type48);
+ auto param21 = model->addOperand(&type4);
+ auto param22 = model->addOperand(&type4);
+ auto param23 = model->addOperand(&type4);
+ auto param24 = model->addOperand(&type4);
+ auto param25 = model->addOperand(&type4);
+ auto param26 = model->addOperand(&type4);
+ auto param27 = model->addOperand(&type4);
+ auto param28 = model->addOperand(&type4);
+ auto layout = model->addOperand(&type0);
+ auto op43 = model->addOperand(&type53);
// Phase 2, operations
static int32_t param21_init[] = {0};
model->setOperandValue(param21, param21_init, sizeof(int32_t) * 1);
diff --git a/nn/runtime/test/generated/models/pad_float16.model.cpp b/nn/runtime/test/generated/models/pad_float16.model.cpp
new file mode 100644
index 0000000..aaa0b76
--- /dev/null
+++ b/nn/runtime/test/generated/models/pad_float16.model.cpp
@@ -0,0 +1,26 @@
+// clang-format off
+// Generated file (from: pad_float16.mod.py). Do not edit
+void CreateModel(Model *model) {
+ OperandType type0(Type::TENSOR_FLOAT16, {1, 2, 2, 1});
+ OperandType type1(Type::TENSOR_INT32, {4, 2});
+ OperandType type2(Type::TENSOR_FLOAT16, {1, 4, 4, 1});
+ // Phase 1, operands
+ auto op1 = model->addOperand(&type0);
+ auto op2 = model->addOperand(&type1);
+ auto op3 = model->addOperand(&type2);
+ // Phase 2, operations
+ static int32_t op2_init[] = {0, 0, 1, 1, 1, 1, 0, 0};
+ model->setOperandValue(op2, op2_init, sizeof(int32_t) * 8);
+ model->addOperation(ANEURALNETWORKS_PAD, {op1, op2}, {op3});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op1},
+ {op3});
+ assert(model->isValid());
+}
+
+inline bool is_ignored(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
diff --git a/nn/runtime/test/generated/models/pad_v2_1_float.model.cpp b/nn/runtime/test/generated/models/pad_v2_1_float.model.cpp
index 47882c3..9009f1b 100644
--- a/nn/runtime/test/generated/models/pad_v2_1_float.model.cpp
+++ b/nn/runtime/test/generated/models/pad_v2_1_float.model.cpp
@@ -28,3 +28,31 @@
return ignore.find(i) != ignore.end();
}
+void CreateModel_float16(Model *model) {
+ OperandType type1(Type::TENSOR_INT32, {4, 2});
+ OperandType type2(Type::FLOAT32, {});
+ OperandType type4(Type::TENSOR_FLOAT16, {1, 2, 3, 1});
+ OperandType type5(Type::TENSOR_FLOAT16, {1, 4, 7, 1});
+ // Phase 1, operands
+ auto input0 = model->addOperand(&type4);
+ auto paddings = model->addOperand(&type1);
+ auto pad_value = model->addOperand(&type2);
+ auto output0 = model->addOperand(&type5);
+ // Phase 2, operations
+ static int32_t paddings_init[] = {0, 0, 0, 2, 1, 3, 0, 0};
+ model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 8);
+ static float pad_value_init[] = {9.3f};
+ model->setOperandValue(pad_value, pad_value_init, sizeof(float) * 1);
+ model->addOperation(ANEURALNETWORKS_PAD_V2, {input0, paddings, pad_value}, {output0});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input0},
+ {output0});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
diff --git a/nn/runtime/test/generated/models/reshape_float16.model.cpp b/nn/runtime/test/generated/models/reshape_float16.model.cpp
new file mode 100644
index 0000000..1df1b6a
--- /dev/null
+++ b/nn/runtime/test/generated/models/reshape_float16.model.cpp
@@ -0,0 +1,26 @@
+// clang-format off
+// Generated file (from: reshape_float16.mod.py). Do not edit
+void CreateModel(Model *model) {
+ OperandType type0(Type::TENSOR_FLOAT16, {1, 1, 3, 3});
+ OperandType type1(Type::TENSOR_INT32, {1});
+ OperandType type2(Type::TENSOR_FLOAT16, {9});
+ // Phase 1, operands
+ auto op1 = model->addOperand(&type0);
+ auto op2 = model->addOperand(&type1);
+ auto op3 = model->addOperand(&type2);
+ // Phase 2, operations
+ static int32_t op2_init[] = {-1};
+ model->setOperandValue(op2, op2_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_RESHAPE, {op1, op2}, {op3});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op1},
+ {op3});
+ assert(model->isValid());
+}
+
+inline bool is_ignored(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
diff --git a/nn/runtime/test/generated/models/resize_bilinear_v1_2.model.cpp b/nn/runtime/test/generated/models/resize_bilinear_v1_2.model.cpp
index 1602182..c16c0f1 100644
--- a/nn/runtime/test/generated/models/resize_bilinear_v1_2.model.cpp
+++ b/nn/runtime/test/generated/models/resize_bilinear_v1_2.model.cpp
@@ -64,11 +64,11 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_nchw(Model *model) {
+void CreateModel_nhwc_float16(Model *model) {
OperandType type0(Type::BOOL, {});
OperandType type3(Type::INT32, {});
- OperandType type6(Type::TENSOR_FLOAT32, {1, 1, 2, 2});
- OperandType type7(Type::TENSOR_FLOAT32, {1, 1, 3, 3});
+ OperandType type6(Type::TENSOR_FLOAT16, {1, 2, 2, 1});
+ OperandType type7(Type::TENSOR_FLOAT16, {1, 3, 3, 1});
// Phase 1, operands
auto op1 = model->addOperand(&type6);
auto param = model->addOperand(&type3);
@@ -80,6 +80,37 @@
model->setOperandValue(param, param_init, sizeof(int32_t) * 1);
static int32_t param1_init[] = {3};
model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1);
+ static bool layout_init[] = {false};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_RESIZE_BILINEAR, {op1, param, param1, layout}, {op4});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op1},
+ {op4});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nhwc_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nchw(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type3(Type::INT32, {});
+ OperandType type8(Type::TENSOR_FLOAT32, {1, 1, 2, 2});
+ OperandType type9(Type::TENSOR_FLOAT32, {1, 1, 3, 3});
+ // Phase 1, operands
+ auto op1 = model->addOperand(&type8);
+ auto param = model->addOperand(&type3);
+ auto param1 = model->addOperand(&type3);
+ auto layout = model->addOperand(&type0);
+ auto op4 = model->addOperand(&type9);
+ // Phase 2, operations
+ static int32_t param_init[] = {3};
+ model->setOperandValue(param, param_init, sizeof(int32_t) * 1);
+ static int32_t param1_init[] = {3};
+ model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1);
static bool layout_init[] = {true};
model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
model->addOperation(ANEURALNETWORKS_RESIZE_BILINEAR, {op1, param, param1, layout}, {op4});
@@ -98,14 +129,14 @@
void CreateModel_nchw_relaxed(Model *model) {
OperandType type0(Type::BOOL, {});
OperandType type3(Type::INT32, {});
- OperandType type6(Type::TENSOR_FLOAT32, {1, 1, 2, 2});
- OperandType type7(Type::TENSOR_FLOAT32, {1, 1, 3, 3});
+ OperandType type8(Type::TENSOR_FLOAT32, {1, 1, 2, 2});
+ OperandType type9(Type::TENSOR_FLOAT32, {1, 1, 3, 3});
// Phase 1, operands
- auto op1 = model->addOperand(&type6);
+ auto op1 = model->addOperand(&type8);
auto param = model->addOperand(&type3);
auto param1 = model->addOperand(&type3);
auto layout = model->addOperand(&type0);
- auto op4 = model->addOperand(&type7);
+ auto op4 = model->addOperand(&type9);
// Phase 2, operations
static int32_t param_init[] = {3};
model->setOperandValue(param, param_init, sizeof(int32_t) * 1);
@@ -128,6 +159,37 @@
return ignore.find(i) != ignore.end();
}
+void CreateModel_nchw_float16(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type10(Type::TENSOR_FLOAT16, {1, 1, 2, 2});
+ OperandType type11(Type::TENSOR_FLOAT16, {1, 1, 3, 3});
+ OperandType type3(Type::INT32, {});
+ // Phase 1, operands
+ auto op1 = model->addOperand(&type10);
+ auto param = model->addOperand(&type3);
+ auto param1 = model->addOperand(&type3);
+ auto layout = model->addOperand(&type0);
+ auto op4 = model->addOperand(&type11);
+ // Phase 2, operations
+ static int32_t param_init[] = {3};
+ model->setOperandValue(param, param_init, sizeof(int32_t) * 1);
+ static int32_t param1_init[] = {3};
+ model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1);
+ static bool layout_init[] = {true};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_RESIZE_BILINEAR, {op1, param, param1, layout}, {op4});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op1},
+ {op4});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nchw_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
void CreateModel_nhwc_2(Model *model) {
OperandType type0(Type::BOOL, {});
OperandType type3(Type::INT32, {});
@@ -192,17 +254,48 @@
return ignore.find(i) != ignore.end();
}
+void CreateModel_nhwc_float16_2(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type12(Type::TENSOR_FLOAT16, {1, 2, 2, 2});
+ OperandType type13(Type::TENSOR_FLOAT16, {1, 3, 3, 2});
+ OperandType type3(Type::INT32, {});
+ // Phase 1, operands
+ auto op11 = model->addOperand(&type12);
+ auto param2 = model->addOperand(&type3);
+ auto param3 = model->addOperand(&type3);
+ auto layout = model->addOperand(&type0);
+ auto op41 = model->addOperand(&type13);
+ // Phase 2, operations
+ static int32_t param2_init[] = {3};
+ model->setOperandValue(param2, param2_init, sizeof(int32_t) * 1);
+ static int32_t param3_init[] = {3};
+ model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1);
+ static bool layout_init[] = {false};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_RESIZE_BILINEAR, {op11, param2, param3, layout}, {op41});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op11},
+ {op41});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nhwc_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
void CreateModel_nchw_2(Model *model) {
OperandType type0(Type::BOOL, {});
+ OperandType type14(Type::TENSOR_FLOAT32, {1, 2, 3, 3});
OperandType type3(Type::INT32, {});
OperandType type4(Type::TENSOR_FLOAT32, {1, 2, 2, 2});
- OperandType type8(Type::TENSOR_FLOAT32, {1, 2, 3, 3});
// Phase 1, operands
auto op11 = model->addOperand(&type4);
auto param2 = model->addOperand(&type3);
auto param3 = model->addOperand(&type3);
auto layout = model->addOperand(&type0);
- auto op41 = model->addOperand(&type8);
+ auto op41 = model->addOperand(&type14);
// Phase 2, operations
static int32_t param2_init[] = {3};
model->setOperandValue(param2, param2_init, sizeof(int32_t) * 1);
@@ -225,15 +318,15 @@
void CreateModel_nchw_relaxed_2(Model *model) {
OperandType type0(Type::BOOL, {});
+ OperandType type14(Type::TENSOR_FLOAT32, {1, 2, 3, 3});
OperandType type3(Type::INT32, {});
OperandType type4(Type::TENSOR_FLOAT32, {1, 2, 2, 2});
- OperandType type8(Type::TENSOR_FLOAT32, {1, 2, 3, 3});
// Phase 1, operands
auto op11 = model->addOperand(&type4);
auto param2 = model->addOperand(&type3);
auto param3 = model->addOperand(&type3);
auto layout = model->addOperand(&type0);
- auto op41 = model->addOperand(&type8);
+ auto op41 = model->addOperand(&type14);
// Phase 2, operations
static int32_t param2_init[] = {3};
model->setOperandValue(param2, param2_init, sizeof(int32_t) * 1);
@@ -256,3 +349,34 @@
return ignore.find(i) != ignore.end();
}
+void CreateModel_nchw_float16_2(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type12(Type::TENSOR_FLOAT16, {1, 2, 2, 2});
+ OperandType type15(Type::TENSOR_FLOAT16, {1, 2, 3, 3});
+ OperandType type3(Type::INT32, {});
+ // Phase 1, operands
+ auto op11 = model->addOperand(&type12);
+ auto param2 = model->addOperand(&type3);
+ auto param3 = model->addOperand(&type3);
+ auto layout = model->addOperand(&type0);
+ auto op41 = model->addOperand(&type15);
+ // Phase 2, operations
+ static int32_t param2_init[] = {3};
+ model->setOperandValue(param2, param2_init, sizeof(int32_t) * 1);
+ static int32_t param3_init[] = {3};
+ model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1);
+ static bool layout_init[] = {true};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_RESIZE_BILINEAR, {op11, param2, param3, layout}, {op41});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op11},
+ {op41});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nchw_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
diff --git a/nn/runtime/test/generated/models/roi_pooling.model.cpp b/nn/runtime/test/generated/models/roi_pooling.model.cpp
new file mode 100644
index 0000000..6d77315
--- /dev/null
+++ b/nn/runtime/test/generated/models/roi_pooling.model.cpp
@@ -0,0 +1,418 @@
+// clang-format off
+// Generated file (from: roi_pooling.mod.py). Do not edit
+void CreateModel_nhwc(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type1(Type::TENSOR_FLOAT32, {1, 4, 4, 1});
+ OperandType type2(Type::TENSOR_FLOAT32, {4, 4});
+ OperandType type3(Type::TENSOR_FLOAT32, {4, 2, 2, 1});
+ OperandType type4(Type::TENSOR_INT32, {2});
+ OperandType type5(Type::FLOAT32, {});
+ // Phase 1, operands
+ auto in = model->addOperand(&type1);
+ auto roi = model->addOperand(&type2);
+ auto param = model->addOperand(&type4);
+ auto param1 = model->addOperand(&type5);
+ auto layout = model->addOperand(&type0);
+ auto out = model->addOperand(&type3);
+ // Phase 2, operations
+ static int32_t param_init[] = {2, 2};
+ model->setOperandValue(param, param_init, sizeof(int32_t) * 2);
+ static float param1_init[] = {0.5f};
+ model->setOperandValue(param1, param1_init, sizeof(float) * 1);
+ static bool layout_init[] = {false};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_ROI_POOLING, {in, roi, param, param1, layout}, {out});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {in, roi},
+ {out});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nhwc(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nhwc_relaxed(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type1(Type::TENSOR_FLOAT32, {1, 4, 4, 1});
+ OperandType type2(Type::TENSOR_FLOAT32, {4, 4});
+ OperandType type3(Type::TENSOR_FLOAT32, {4, 2, 2, 1});
+ OperandType type4(Type::TENSOR_INT32, {2});
+ OperandType type5(Type::FLOAT32, {});
+ // Phase 1, operands
+ auto in = model->addOperand(&type1);
+ auto roi = model->addOperand(&type2);
+ auto param = model->addOperand(&type4);
+ auto param1 = model->addOperand(&type5);
+ auto layout = model->addOperand(&type0);
+ auto out = model->addOperand(&type3);
+ // Phase 2, operations
+ static int32_t param_init[] = {2, 2};
+ model->setOperandValue(param, param_init, sizeof(int32_t) * 2);
+ static float param1_init[] = {0.5f};
+ model->setOperandValue(param1, param1_init, sizeof(float) * 1);
+ static bool layout_init[] = {false};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_ROI_POOLING, {in, roi, param, param1, layout}, {out});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {in, roi},
+ {out});
+ // Phase 4: set relaxed execution
+ model->relaxComputationFloat32toFloat16(true);
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nhwc_relaxed(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nhwc_quant8(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type10(Type::TENSOR_QUANT8_ASYMM, {4, 2, 2, 1}, 0.25f, 128);
+ OperandType type2(Type::TENSOR_FLOAT32, {4, 4});
+ OperandType type4(Type::TENSOR_INT32, {2});
+ OperandType type5(Type::FLOAT32, {});
+ OperandType type9(Type::TENSOR_QUANT8_ASYMM, {1, 4, 4, 1}, 0.25f, 128);
+ // Phase 1, operands
+ auto in = model->addOperand(&type9);
+ auto roi = model->addOperand(&type2);
+ auto param = model->addOperand(&type4);
+ auto param1 = model->addOperand(&type5);
+ auto layout = model->addOperand(&type0);
+ auto out = model->addOperand(&type10);
+ // Phase 2, operations
+ static int32_t param_init[] = {2, 2};
+ model->setOperandValue(param, param_init, sizeof(int32_t) * 2);
+ static float param1_init[] = {0.5f};
+ model->setOperandValue(param1, param1_init, sizeof(float) * 1);
+ static bool layout_init[] = {false};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_ROI_POOLING, {in, roi, param, param1, layout}, {out});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {in, roi},
+ {out});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nhwc_quant8(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nchw(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type11(Type::TENSOR_FLOAT32, {1, 1, 4, 4});
+ OperandType type12(Type::TENSOR_FLOAT32, {4, 1, 2, 2});
+ OperandType type2(Type::TENSOR_FLOAT32, {4, 4});
+ OperandType type4(Type::TENSOR_INT32, {2});
+ OperandType type5(Type::FLOAT32, {});
+ // Phase 1, operands
+ auto in = model->addOperand(&type11);
+ auto roi = model->addOperand(&type2);
+ auto param = model->addOperand(&type4);
+ auto param1 = model->addOperand(&type5);
+ auto layout = model->addOperand(&type0);
+ auto out = model->addOperand(&type12);
+ // Phase 2, operations
+ static int32_t param_init[] = {2, 2};
+ model->setOperandValue(param, param_init, sizeof(int32_t) * 2);
+ static float param1_init[] = {0.5f};
+ model->setOperandValue(param1, param1_init, sizeof(float) * 1);
+ static bool layout_init[] = {true};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_ROI_POOLING, {in, roi, param, param1, layout}, {out});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {in, roi},
+ {out});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nchw(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nchw_relaxed(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type11(Type::TENSOR_FLOAT32, {1, 1, 4, 4});
+ OperandType type12(Type::TENSOR_FLOAT32, {4, 1, 2, 2});
+ OperandType type2(Type::TENSOR_FLOAT32, {4, 4});
+ OperandType type4(Type::TENSOR_INT32, {2});
+ OperandType type5(Type::FLOAT32, {});
+ // Phase 1, operands
+ auto in = model->addOperand(&type11);
+ auto roi = model->addOperand(&type2);
+ auto param = model->addOperand(&type4);
+ auto param1 = model->addOperand(&type5);
+ auto layout = model->addOperand(&type0);
+ auto out = model->addOperand(&type12);
+ // Phase 2, operations
+ static int32_t param_init[] = {2, 2};
+ model->setOperandValue(param, param_init, sizeof(int32_t) * 2);
+ static float param1_init[] = {0.5f};
+ model->setOperandValue(param1, param1_init, sizeof(float) * 1);
+ static bool layout_init[] = {true};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_ROI_POOLING, {in, roi, param, param1, layout}, {out});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {in, roi},
+ {out});
+ // Phase 4: set relaxed execution
+ model->relaxComputationFloat32toFloat16(true);
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nchw_relaxed(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nchw_quant8(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type13(Type::TENSOR_QUANT8_ASYMM, {1, 1, 4, 4}, 0.25f, 128);
+ OperandType type14(Type::TENSOR_QUANT8_ASYMM, {4, 1, 2, 2}, 0.25f, 128);
+ OperandType type2(Type::TENSOR_FLOAT32, {4, 4});
+ OperandType type4(Type::TENSOR_INT32, {2});
+ OperandType type5(Type::FLOAT32, {});
+ // Phase 1, operands
+ auto in = model->addOperand(&type13);
+ auto roi = model->addOperand(&type2);
+ auto param = model->addOperand(&type4);
+ auto param1 = model->addOperand(&type5);
+ auto layout = model->addOperand(&type0);
+ auto out = model->addOperand(&type14);
+ // Phase 2, operations
+ static int32_t param_init[] = {2, 2};
+ model->setOperandValue(param, param_init, sizeof(int32_t) * 2);
+ static float param1_init[] = {0.5f};
+ model->setOperandValue(param1, param1_init, sizeof(float) * 1);
+ static bool layout_init[] = {true};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_ROI_POOLING, {in, roi, param, param1, layout}, {out});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {in, roi},
+ {out});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nchw_quant8(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nhwc_2(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type4(Type::TENSOR_INT32, {2});
+ OperandType type5(Type::FLOAT32, {});
+ OperandType type6(Type::TENSOR_FLOAT32, {2, 4, 8, 2});
+ OperandType type7(Type::TENSOR_FLOAT32, {4, 5});
+ OperandType type8(Type::TENSOR_FLOAT32, {4, 2, 3, 2});
+ // Phase 1, operands
+ auto in1 = model->addOperand(&type6);
+ auto roi1 = model->addOperand(&type7);
+ auto param2 = model->addOperand(&type4);
+ auto param3 = model->addOperand(&type5);
+ auto layout = model->addOperand(&type0);
+ auto out1 = model->addOperand(&type8);
+ // Phase 2, operations
+ static int32_t param2_init[] = {2, 3};
+ model->setOperandValue(param2, param2_init, sizeof(int32_t) * 2);
+ static float param3_init[] = {0.25f};
+ model->setOperandValue(param3, param3_init, sizeof(float) * 1);
+ static bool layout_init[] = {false};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_ROI_POOLING, {in1, roi1, param2, param3, layout}, {out1});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {in1, roi1},
+ {out1});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nhwc_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nhwc_relaxed_2(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type4(Type::TENSOR_INT32, {2});
+ OperandType type5(Type::FLOAT32, {});
+ OperandType type6(Type::TENSOR_FLOAT32, {2, 4, 8, 2});
+ OperandType type7(Type::TENSOR_FLOAT32, {4, 5});
+ OperandType type8(Type::TENSOR_FLOAT32, {4, 2, 3, 2});
+ // Phase 1, operands
+ auto in1 = model->addOperand(&type6);
+ auto roi1 = model->addOperand(&type7);
+ auto param2 = model->addOperand(&type4);
+ auto param3 = model->addOperand(&type5);
+ auto layout = model->addOperand(&type0);
+ auto out1 = model->addOperand(&type8);
+ // Phase 2, operations
+ static int32_t param2_init[] = {2, 3};
+ model->setOperandValue(param2, param2_init, sizeof(int32_t) * 2);
+ static float param3_init[] = {0.25f};
+ model->setOperandValue(param3, param3_init, sizeof(float) * 1);
+ static bool layout_init[] = {false};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_ROI_POOLING, {in1, roi1, param2, param3, layout}, {out1});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {in1, roi1},
+ {out1});
+ // Phase 4: set relaxed execution
+ model->relaxComputationFloat32toFloat16(true);
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nhwc_relaxed_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nhwc_quant8_2(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type15(Type::TENSOR_QUANT8_ASYMM, {2, 4, 8, 2}, 0.04f, 0);
+ OperandType type16(Type::TENSOR_QUANT8_ASYMM, {4, 2, 3, 2}, 0.04f, 0);
+ OperandType type4(Type::TENSOR_INT32, {2});
+ OperandType type5(Type::FLOAT32, {});
+ OperandType type7(Type::TENSOR_FLOAT32, {4, 5});
+ // Phase 1, operands
+ auto in1 = model->addOperand(&type15);
+ auto roi1 = model->addOperand(&type7);
+ auto param2 = model->addOperand(&type4);
+ auto param3 = model->addOperand(&type5);
+ auto layout = model->addOperand(&type0);
+ auto out1 = model->addOperand(&type16);
+ // Phase 2, operations
+ static int32_t param2_init[] = {2, 3};
+ model->setOperandValue(param2, param2_init, sizeof(int32_t) * 2);
+ static float param3_init[] = {0.25f};
+ model->setOperandValue(param3, param3_init, sizeof(float) * 1);
+ static bool layout_init[] = {false};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_ROI_POOLING, {in1, roi1, param2, param3, layout}, {out1});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {in1, roi1},
+ {out1});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nhwc_quant8_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nchw_2(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type17(Type::TENSOR_FLOAT32, {2, 2, 4, 8});
+ OperandType type18(Type::TENSOR_FLOAT32, {4, 2, 2, 3});
+ OperandType type4(Type::TENSOR_INT32, {2});
+ OperandType type5(Type::FLOAT32, {});
+ OperandType type7(Type::TENSOR_FLOAT32, {4, 5});
+ // Phase 1, operands
+ auto in1 = model->addOperand(&type17);
+ auto roi1 = model->addOperand(&type7);
+ auto param2 = model->addOperand(&type4);
+ auto param3 = model->addOperand(&type5);
+ auto layout = model->addOperand(&type0);
+ auto out1 = model->addOperand(&type18);
+ // Phase 2, operations
+ static int32_t param2_init[] = {2, 3};
+ model->setOperandValue(param2, param2_init, sizeof(int32_t) * 2);
+ static float param3_init[] = {0.25f};
+ model->setOperandValue(param3, param3_init, sizeof(float) * 1);
+ static bool layout_init[] = {true};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_ROI_POOLING, {in1, roi1, param2, param3, layout}, {out1});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {in1, roi1},
+ {out1});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nchw_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nchw_relaxed_2(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type17(Type::TENSOR_FLOAT32, {2, 2, 4, 8});
+ OperandType type18(Type::TENSOR_FLOAT32, {4, 2, 2, 3});
+ OperandType type4(Type::TENSOR_INT32, {2});
+ OperandType type5(Type::FLOAT32, {});
+ OperandType type7(Type::TENSOR_FLOAT32, {4, 5});
+ // Phase 1, operands
+ auto in1 = model->addOperand(&type17);
+ auto roi1 = model->addOperand(&type7);
+ auto param2 = model->addOperand(&type4);
+ auto param3 = model->addOperand(&type5);
+ auto layout = model->addOperand(&type0);
+ auto out1 = model->addOperand(&type18);
+ // Phase 2, operations
+ static int32_t param2_init[] = {2, 3};
+ model->setOperandValue(param2, param2_init, sizeof(int32_t) * 2);
+ static float param3_init[] = {0.25f};
+ model->setOperandValue(param3, param3_init, sizeof(float) * 1);
+ static bool layout_init[] = {true};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_ROI_POOLING, {in1, roi1, param2, param3, layout}, {out1});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {in1, roi1},
+ {out1});
+ // Phase 4: set relaxed execution
+ model->relaxComputationFloat32toFloat16(true);
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nchw_relaxed_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nchw_quant8_2(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type19(Type::TENSOR_QUANT8_ASYMM, {2, 2, 4, 8}, 0.04f, 0);
+ OperandType type20(Type::TENSOR_QUANT8_ASYMM, {4, 2, 2, 3}, 0.04f, 0);
+ OperandType type4(Type::TENSOR_INT32, {2});
+ OperandType type5(Type::FLOAT32, {});
+ OperandType type7(Type::TENSOR_FLOAT32, {4, 5});
+ // Phase 1, operands
+ auto in1 = model->addOperand(&type19);
+ auto roi1 = model->addOperand(&type7);
+ auto param2 = model->addOperand(&type4);
+ auto param3 = model->addOperand(&type5);
+ auto layout = model->addOperand(&type0);
+ auto out1 = model->addOperand(&type20);
+ // Phase 2, operations
+ static int32_t param2_init[] = {2, 3};
+ model->setOperandValue(param2, param2_init, sizeof(int32_t) * 2);
+ static float param3_init[] = {0.25f};
+ model->setOperandValue(param3, param3_init, sizeof(float) * 1);
+ static bool layout_init[] = {true};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_ROI_POOLING, {in1, roi1, param2, param3, layout}, {out1});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {in1, roi1},
+ {out1});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nchw_quant8_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
diff --git a/nn/runtime/test/generated/models/slice.model.cpp b/nn/runtime/test/generated/models/slice.model.cpp
new file mode 100644
index 0000000..078ba36
--- /dev/null
+++ b/nn/runtime/test/generated/models/slice.model.cpp
@@ -0,0 +1,567 @@
+// clang-format off
+// Generated file (from: slice.mod.py). Do not edit
+void CreateModel(Model *model) {
+ OperandType type0(Type::TENSOR_FLOAT32, {4});
+ OperandType type1(Type::TENSOR_INT32, {1});
+ OperandType type2(Type::TENSOR_FLOAT32, {2});
+ // Phase 1, operands
+ auto input = model->addOperand(&type0);
+ auto begin = model->addOperand(&type1);
+ auto size = model->addOperand(&type1);
+ auto output = model->addOperand(&type2);
+ // Phase 2, operations
+ model->addOperation(ANEURALNETWORKS_SLICE, {input, begin, size}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input, begin, size},
+ {output});
+ assert(model->isValid());
+}
+
+inline bool is_ignored(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_relaxed(Model *model) {
+ OperandType type0(Type::TENSOR_FLOAT32, {4});
+ OperandType type1(Type::TENSOR_INT32, {1});
+ OperandType type2(Type::TENSOR_FLOAT32, {2});
+ // Phase 1, operands
+ auto input = model->addOperand(&type0);
+ auto begin = model->addOperand(&type1);
+ auto size = model->addOperand(&type1);
+ auto output = model->addOperand(&type2);
+ // Phase 2, operations
+ model->addOperation(ANEURALNETWORKS_SLICE, {input, begin, size}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input, begin, size},
+ {output});
+ // Phase 4: set relaxed execution
+ model->relaxComputationFloat32toFloat16(true);
+ assert(model->isValid());
+}
+
+inline bool is_ignored_relaxed(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_float16(Model *model) {
+ OperandType type1(Type::TENSOR_INT32, {1});
+ OperandType type16(Type::TENSOR_FLOAT16, {4});
+ OperandType type17(Type::TENSOR_FLOAT16, {2});
+ // Phase 1, operands
+ auto input = model->addOperand(&type16);
+ auto begin = model->addOperand(&type1);
+ auto size = model->addOperand(&type1);
+ auto output = model->addOperand(&type17);
+ // Phase 2, operations
+ model->addOperation(ANEURALNETWORKS_SLICE, {input, begin, size}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input, begin, size},
+ {output});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_2(Model *model) {
+ OperandType type3(Type::TENSOR_FLOAT32, {2, 3});
+ OperandType type4(Type::TENSOR_INT32, {2});
+ OperandType type5(Type::TENSOR_FLOAT32, {1, 2});
+ // Phase 1, operands
+ auto input1 = model->addOperand(&type3);
+ auto begin1 = model->addOperand(&type4);
+ auto size1 = model->addOperand(&type4);
+ auto output1 = model->addOperand(&type5);
+ // Phase 2, operations
+ model->addOperation(ANEURALNETWORKS_SLICE, {input1, begin1, size1}, {output1});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input1, begin1, size1},
+ {output1});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_relaxed_2(Model *model) {
+ OperandType type3(Type::TENSOR_FLOAT32, {2, 3});
+ OperandType type4(Type::TENSOR_INT32, {2});
+ OperandType type5(Type::TENSOR_FLOAT32, {1, 2});
+ // Phase 1, operands
+ auto input1 = model->addOperand(&type3);
+ auto begin1 = model->addOperand(&type4);
+ auto size1 = model->addOperand(&type4);
+ auto output1 = model->addOperand(&type5);
+ // Phase 2, operations
+ model->addOperation(ANEURALNETWORKS_SLICE, {input1, begin1, size1}, {output1});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input1, begin1, size1},
+ {output1});
+ // Phase 4: set relaxed execution
+ model->relaxComputationFloat32toFloat16(true);
+ assert(model->isValid());
+}
+
+inline bool is_ignored_relaxed_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_float16_2(Model *model) {
+ OperandType type18(Type::TENSOR_FLOAT16, {2, 3});
+ OperandType type19(Type::TENSOR_FLOAT16, {1, 2});
+ OperandType type4(Type::TENSOR_INT32, {2});
+ // Phase 1, operands
+ auto input1 = model->addOperand(&type18);
+ auto begin1 = model->addOperand(&type4);
+ auto size1 = model->addOperand(&type4);
+ auto output1 = model->addOperand(&type19);
+ // Phase 2, operations
+ model->addOperation(ANEURALNETWORKS_SLICE, {input1, begin1, size1}, {output1});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input1, begin1, size1},
+ {output1});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_3(Model *model) {
+ OperandType type6(Type::TENSOR_FLOAT32, {2, 3, 2});
+ OperandType type7(Type::TENSOR_INT32, {3});
+ // Phase 1, operands
+ auto input2 = model->addOperand(&type6);
+ auto begin2 = model->addOperand(&type7);
+ auto size2 = model->addOperand(&type7);
+ auto output2 = model->addOperand(&type6);
+ // Phase 2, operations
+ model->addOperation(ANEURALNETWORKS_SLICE, {input2, begin2, size2}, {output2});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input2, begin2, size2},
+ {output2});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_3(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_relaxed_3(Model *model) {
+ OperandType type6(Type::TENSOR_FLOAT32, {2, 3, 2});
+ OperandType type7(Type::TENSOR_INT32, {3});
+ // Phase 1, operands
+ auto input2 = model->addOperand(&type6);
+ auto begin2 = model->addOperand(&type7);
+ auto size2 = model->addOperand(&type7);
+ auto output2 = model->addOperand(&type6);
+ // Phase 2, operations
+ model->addOperation(ANEURALNETWORKS_SLICE, {input2, begin2, size2}, {output2});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input2, begin2, size2},
+ {output2});
+ // Phase 4: set relaxed execution
+ model->relaxComputationFloat32toFloat16(true);
+ assert(model->isValid());
+}
+
+inline bool is_ignored_relaxed_3(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_float16_3(Model *model) {
+ OperandType type20(Type::TENSOR_FLOAT16, {2, 3, 2});
+ OperandType type7(Type::TENSOR_INT32, {3});
+ // Phase 1, operands
+ auto input2 = model->addOperand(&type20);
+ auto begin2 = model->addOperand(&type7);
+ auto size2 = model->addOperand(&type7);
+ auto output2 = model->addOperand(&type20);
+ // Phase 2, operations
+ model->addOperation(ANEURALNETWORKS_SLICE, {input2, begin2, size2}, {output2});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input2, begin2, size2},
+ {output2});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_float16_3(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_4(Model *model) {
+ OperandType type10(Type::TENSOR_FLOAT32, {3, 1, 1, 1});
+ OperandType type8(Type::TENSOR_FLOAT32, {4, 1, 1, 1});
+ OperandType type9(Type::TENSOR_INT32, {4});
+ // Phase 1, operands
+ auto input3 = model->addOperand(&type8);
+ auto begin3 = model->addOperand(&type9);
+ auto size3 = model->addOperand(&type9);
+ auto output3 = model->addOperand(&type10);
+ // Phase 2, operations
+ model->addOperation(ANEURALNETWORKS_SLICE, {input3, begin3, size3}, {output3});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input3, begin3, size3},
+ {output3});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_4(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_relaxed_4(Model *model) {
+ OperandType type10(Type::TENSOR_FLOAT32, {3, 1, 1, 1});
+ OperandType type8(Type::TENSOR_FLOAT32, {4, 1, 1, 1});
+ OperandType type9(Type::TENSOR_INT32, {4});
+ // Phase 1, operands
+ auto input3 = model->addOperand(&type8);
+ auto begin3 = model->addOperand(&type9);
+ auto size3 = model->addOperand(&type9);
+ auto output3 = model->addOperand(&type10);
+ // Phase 2, operations
+ model->addOperation(ANEURALNETWORKS_SLICE, {input3, begin3, size3}, {output3});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input3, begin3, size3},
+ {output3});
+ // Phase 4: set relaxed execution
+ model->relaxComputationFloat32toFloat16(true);
+ assert(model->isValid());
+}
+
+inline bool is_ignored_relaxed_4(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_float16_4(Model *model) {
+ OperandType type21(Type::TENSOR_FLOAT16, {4, 1, 1, 1});
+ OperandType type22(Type::TENSOR_FLOAT16, {3, 1, 1, 1});
+ OperandType type9(Type::TENSOR_INT32, {4});
+ // Phase 1, operands
+ auto input3 = model->addOperand(&type21);
+ auto begin3 = model->addOperand(&type9);
+ auto size3 = model->addOperand(&type9);
+ auto output3 = model->addOperand(&type22);
+ // Phase 2, operations
+ model->addOperation(ANEURALNETWORKS_SLICE, {input3, begin3, size3}, {output3});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input3, begin3, size3},
+ {output3});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_float16_4(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_5(Model *model) {
+ OperandType type11(Type::TENSOR_INT32, {3, 2, 3, 1});
+ OperandType type12(Type::TENSOR_INT32, {1, 1, 3, 1});
+ OperandType type9(Type::TENSOR_INT32, {4});
+ // Phase 1, operands
+ auto input4 = model->addOperand(&type11);
+ auto begin4 = model->addOperand(&type9);
+ auto size4 = model->addOperand(&type9);
+ auto output4 = model->addOperand(&type12);
+ // Phase 2, operations
+ model->addOperation(ANEURALNETWORKS_SLICE, {input4, begin4, size4}, {output4});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input4, begin4, size4},
+ {output4});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_5(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_relaxed_5(Model *model) {
+ OperandType type11(Type::TENSOR_INT32, {3, 2, 3, 1});
+ OperandType type12(Type::TENSOR_INT32, {1, 1, 3, 1});
+ OperandType type9(Type::TENSOR_INT32, {4});
+ // Phase 1, operands
+ auto input4 = model->addOperand(&type11);
+ auto begin4 = model->addOperand(&type9);
+ auto size4 = model->addOperand(&type9);
+ auto output4 = model->addOperand(&type12);
+ // Phase 2, operations
+ model->addOperation(ANEURALNETWORKS_SLICE, {input4, begin4, size4}, {output4});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input4, begin4, size4},
+ {output4});
+ // Phase 4: set relaxed execution
+ model->relaxComputationFloat32toFloat16(true);
+ assert(model->isValid());
+}
+
+inline bool is_ignored_relaxed_5(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_float16_5(Model *model) {
+ OperandType type11(Type::TENSOR_INT32, {3, 2, 3, 1});
+ OperandType type12(Type::TENSOR_INT32, {1, 1, 3, 1});
+ OperandType type9(Type::TENSOR_INT32, {4});
+ // Phase 1, operands
+ auto input4 = model->addOperand(&type11);
+ auto begin4 = model->addOperand(&type9);
+ auto size4 = model->addOperand(&type9);
+ auto output4 = model->addOperand(&type12);
+ // Phase 2, operations
+ model->addOperation(ANEURALNETWORKS_SLICE, {input4, begin4, size4}, {output4});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input4, begin4, size4},
+ {output4});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_float16_5(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_6(Model *model) {
+ OperandType type11(Type::TENSOR_INT32, {3, 2, 3, 1});
+ OperandType type13(Type::TENSOR_INT32, {2, 1, 3, 1});
+ OperandType type9(Type::TENSOR_INT32, {4});
+ // Phase 1, operands
+ auto input5 = model->addOperand(&type11);
+ auto begin5 = model->addOperand(&type9);
+ auto size5 = model->addOperand(&type9);
+ auto output5 = model->addOperand(&type13);
+ // Phase 2, operations
+ model->addOperation(ANEURALNETWORKS_SLICE, {input5, begin5, size5}, {output5});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input5, begin5, size5},
+ {output5});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_6(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_relaxed_6(Model *model) {
+ OperandType type11(Type::TENSOR_INT32, {3, 2, 3, 1});
+ OperandType type13(Type::TENSOR_INT32, {2, 1, 3, 1});
+ OperandType type9(Type::TENSOR_INT32, {4});
+ // Phase 1, operands
+ auto input5 = model->addOperand(&type11);
+ auto begin5 = model->addOperand(&type9);
+ auto size5 = model->addOperand(&type9);
+ auto output5 = model->addOperand(&type13);
+ // Phase 2, operations
+ model->addOperation(ANEURALNETWORKS_SLICE, {input5, begin5, size5}, {output5});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input5, begin5, size5},
+ {output5});
+ // Phase 4: set relaxed execution
+ model->relaxComputationFloat32toFloat16(true);
+ assert(model->isValid());
+}
+
+inline bool is_ignored_relaxed_6(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_float16_6(Model *model) {
+ OperandType type11(Type::TENSOR_INT32, {3, 2, 3, 1});
+ OperandType type13(Type::TENSOR_INT32, {2, 1, 3, 1});
+ OperandType type9(Type::TENSOR_INT32, {4});
+ // Phase 1, operands
+ auto input5 = model->addOperand(&type11);
+ auto begin5 = model->addOperand(&type9);
+ auto size5 = model->addOperand(&type9);
+ auto output5 = model->addOperand(&type13);
+ // Phase 2, operations
+ model->addOperation(ANEURALNETWORKS_SLICE, {input5, begin5, size5}, {output5});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input5, begin5, size5},
+ {output5});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_float16_6(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_7(Model *model) {
+ OperandType type14(Type::TENSOR_QUANT8_ASYMM, {3, 2, 3, 1}, 2.0f, 128);
+ OperandType type15(Type::TENSOR_QUANT8_ASYMM, {2, 1, 3, 1}, 2.0f, 128);
+ OperandType type9(Type::TENSOR_INT32, {4});
+ // Phase 1, operands
+ auto input6 = model->addOperand(&type14);
+ auto begin6 = model->addOperand(&type9);
+ auto size6 = model->addOperand(&type9);
+ auto output6 = model->addOperand(&type15);
+ // Phase 2, operations
+ model->addOperation(ANEURALNETWORKS_SLICE, {input6, begin6, size6}, {output6});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input6, begin6, size6},
+ {output6});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_7(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_relaxed_7(Model *model) {
+ OperandType type14(Type::TENSOR_QUANT8_ASYMM, {3, 2, 3, 1}, 2.0f, 128);
+ OperandType type15(Type::TENSOR_QUANT8_ASYMM, {2, 1, 3, 1}, 2.0f, 128);
+ OperandType type9(Type::TENSOR_INT32, {4});
+ // Phase 1, operands
+ auto input6 = model->addOperand(&type14);
+ auto begin6 = model->addOperand(&type9);
+ auto size6 = model->addOperand(&type9);
+ auto output6 = model->addOperand(&type15);
+ // Phase 2, operations
+ model->addOperation(ANEURALNETWORKS_SLICE, {input6, begin6, size6}, {output6});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input6, begin6, size6},
+ {output6});
+ // Phase 4: set relaxed execution
+ model->relaxComputationFloat32toFloat16(true);
+ assert(model->isValid());
+}
+
+inline bool is_ignored_relaxed_7(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_float16_7(Model *model) {
+ OperandType type14(Type::TENSOR_QUANT8_ASYMM, {3, 2, 3, 1}, 2.0f, 128);
+ OperandType type15(Type::TENSOR_QUANT8_ASYMM, {2, 1, 3, 1}, 2.0f, 128);
+ OperandType type9(Type::TENSOR_INT32, {4});
+ // Phase 1, operands
+ auto input6 = model->addOperand(&type14);
+ auto begin6 = model->addOperand(&type9);
+ auto size6 = model->addOperand(&type9);
+ auto output6 = model->addOperand(&type15);
+ // Phase 2, operations
+ model->addOperation(ANEURALNETWORKS_SLICE, {input6, begin6, size6}, {output6});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input6, begin6, size6},
+ {output6});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_float16_7(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_8(Model *model) {
+ OperandType type11(Type::TENSOR_INT32, {3, 2, 3, 1});
+ OperandType type13(Type::TENSOR_INT32, {2, 1, 3, 1});
+ OperandType type9(Type::TENSOR_INT32, {4});
+ // Phase 1, operands
+ auto input7 = model->addOperand(&type11);
+ auto begin7 = model->addOperand(&type9);
+ auto size7 = model->addOperand(&type9);
+ auto output7 = model->addOperand(&type13);
+ // Phase 2, operations
+ model->addOperation(ANEURALNETWORKS_SLICE, {input7, begin7, size7}, {output7});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input7, begin7, size7},
+ {output7});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_8(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_relaxed_8(Model *model) {
+ OperandType type11(Type::TENSOR_INT32, {3, 2, 3, 1});
+ OperandType type13(Type::TENSOR_INT32, {2, 1, 3, 1});
+ OperandType type9(Type::TENSOR_INT32, {4});
+ // Phase 1, operands
+ auto input7 = model->addOperand(&type11);
+ auto begin7 = model->addOperand(&type9);
+ auto size7 = model->addOperand(&type9);
+ auto output7 = model->addOperand(&type13);
+ // Phase 2, operations
+ model->addOperation(ANEURALNETWORKS_SLICE, {input7, begin7, size7}, {output7});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input7, begin7, size7},
+ {output7});
+ // Phase 4: set relaxed execution
+ model->relaxComputationFloat32toFloat16(true);
+ assert(model->isValid());
+}
+
+inline bool is_ignored_relaxed_8(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_float16_8(Model *model) {
+ OperandType type11(Type::TENSOR_INT32, {3, 2, 3, 1});
+ OperandType type13(Type::TENSOR_INT32, {2, 1, 3, 1});
+ OperandType type9(Type::TENSOR_INT32, {4});
+ // Phase 1, operands
+ auto input7 = model->addOperand(&type11);
+ auto begin7 = model->addOperand(&type9);
+ auto size7 = model->addOperand(&type9);
+ auto output7 = model->addOperand(&type13);
+ // Phase 2, operations
+ model->addOperation(ANEURALNETWORKS_SLICE, {input7, begin7, size7}, {output7});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input7, begin7, size7},
+ {output7});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_float16_8(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
diff --git a/nn/runtime/test/generated/models/space_to_batch_v1_2.model.cpp b/nn/runtime/test/generated/models/space_to_batch_v1_2.model.cpp
index 2194c04..ed07ba4 100644
--- a/nn/runtime/test/generated/models/space_to_batch_v1_2.model.cpp
+++ b/nn/runtime/test/generated/models/space_to_batch_v1_2.model.cpp
@@ -66,10 +66,10 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_nhwc_quant8(Model *model) {
+void CreateModel_nhwc_float16(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type11(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.1f, 0);
- OperandType type12(Type::TENSOR_QUANT8_ASYMM, {4, 1, 1, 2}, 0.1f, 0);
+ OperandType type11(Type::TENSOR_FLOAT16, {1, 2, 2, 2});
+ OperandType type12(Type::TENSOR_FLOAT16, {4, 1, 1, 2});
OperandType type2(Type::TENSOR_INT32, {2, 2});
OperandType type4(Type::TENSOR_INT32, {2});
// Phase 1, operands
@@ -93,6 +93,38 @@
assert(model->isValid());
}
+inline bool is_ignored_nhwc_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nhwc_quant8(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type13(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.1f, 0);
+ OperandType type14(Type::TENSOR_QUANT8_ASYMM, {4, 1, 1, 2}, 0.1f, 0);
+ OperandType type2(Type::TENSOR_INT32, {2, 2});
+ OperandType type4(Type::TENSOR_INT32, {2});
+ // Phase 1, operands
+ auto op1 = model->addOperand(&type13);
+ auto param = model->addOperand(&type4);
+ auto paddings = model->addOperand(&type2);
+ auto layout = model->addOperand(&type0);
+ auto op4 = model->addOperand(&type14);
+ // Phase 2, operations
+ static int32_t param_init[] = {2, 2};
+ model->setOperandValue(param, param_init, sizeof(int32_t) * 2);
+ static int32_t paddings_init[] = {0, 0, 0, 0};
+ model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4);
+ static bool layout_init[] = {false};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {op1, param, paddings, layout}, {op4});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op1},
+ {op4});
+ assert(model->isValid());
+}
+
inline bool is_ignored_nhwc_quant8(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
@@ -101,7 +133,7 @@
void CreateModel_nchw(Model *model) {
OperandType type0(Type::BOOL, {});
OperandType type1(Type::TENSOR_FLOAT32, {1, 2, 2, 2});
- OperandType type13(Type::TENSOR_FLOAT32, {4, 2, 1, 1});
+ OperandType type15(Type::TENSOR_FLOAT32, {4, 2, 1, 1});
OperandType type2(Type::TENSOR_INT32, {2, 2});
OperandType type4(Type::TENSOR_INT32, {2});
// Phase 1, operands
@@ -109,7 +141,7 @@
auto param = model->addOperand(&type4);
auto paddings = model->addOperand(&type2);
auto layout = model->addOperand(&type0);
- auto op4 = model->addOperand(&type13);
+ auto op4 = model->addOperand(&type15);
// Phase 2, operations
static int32_t param_init[] = {2, 2};
model->setOperandValue(param, param_init, sizeof(int32_t) * 2);
@@ -133,7 +165,7 @@
void CreateModel_nchw_relaxed(Model *model) {
OperandType type0(Type::BOOL, {});
OperandType type1(Type::TENSOR_FLOAT32, {1, 2, 2, 2});
- OperandType type13(Type::TENSOR_FLOAT32, {4, 2, 1, 1});
+ OperandType type15(Type::TENSOR_FLOAT32, {4, 2, 1, 1});
OperandType type2(Type::TENSOR_INT32, {2, 2});
OperandType type4(Type::TENSOR_INT32, {2});
// Phase 1, operands
@@ -141,7 +173,7 @@
auto param = model->addOperand(&type4);
auto paddings = model->addOperand(&type2);
auto layout = model->addOperand(&type0);
- auto op4 = model->addOperand(&type13);
+ auto op4 = model->addOperand(&type15);
// Phase 2, operations
static int32_t param_init[] = {2, 2};
model->setOperandValue(param, param_init, sizeof(int32_t) * 2);
@@ -164,10 +196,10 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_nchw_quant8(Model *model) {
+void CreateModel_nchw_float16(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type11(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.1f, 0);
- OperandType type14(Type::TENSOR_QUANT8_ASYMM, {4, 2, 1, 1}, 0.1f, 0);
+ OperandType type11(Type::TENSOR_FLOAT16, {1, 2, 2, 2});
+ OperandType type16(Type::TENSOR_FLOAT16, {4, 2, 1, 1});
OperandType type2(Type::TENSOR_INT32, {2, 2});
OperandType type4(Type::TENSOR_INT32, {2});
// Phase 1, operands
@@ -175,7 +207,39 @@
auto param = model->addOperand(&type4);
auto paddings = model->addOperand(&type2);
auto layout = model->addOperand(&type0);
- auto op4 = model->addOperand(&type14);
+ auto op4 = model->addOperand(&type16);
+ // Phase 2, operations
+ static int32_t param_init[] = {2, 2};
+ model->setOperandValue(param, param_init, sizeof(int32_t) * 2);
+ static int32_t paddings_init[] = {0, 0, 0, 0};
+ model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4);
+ static bool layout_init[] = {true};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {op1, param, paddings, layout}, {op4});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op1},
+ {op4});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nchw_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nchw_quant8(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type13(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.1f, 0);
+ OperandType type17(Type::TENSOR_QUANT8_ASYMM, {4, 2, 1, 1}, 0.1f, 0);
+ OperandType type2(Type::TENSOR_INT32, {2, 2});
+ OperandType type4(Type::TENSOR_INT32, {2});
+ // Phase 1, operands
+ auto op1 = model->addOperand(&type13);
+ auto param = model->addOperand(&type4);
+ auto paddings = model->addOperand(&type2);
+ auto layout = model->addOperand(&type0);
+ auto op4 = model->addOperand(&type17);
// Phase 2, operations
static int32_t param_init[] = {2, 2};
model->setOperandValue(param, param_init, sizeof(int32_t) * 2);
@@ -262,18 +326,50 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_nhwc_quant8_2(Model *model) {
+void CreateModel_nhwc_float16_2(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type15(Type::TENSOR_QUANT8_ASYMM, {1, 4, 4, 1}, 0.5f, 0);
- OperandType type16(Type::TENSOR_QUANT8_ASYMM, {4, 2, 2, 1}, 0.5f, 0);
+ OperandType type18(Type::TENSOR_FLOAT16, {1, 4, 4, 1});
+ OperandType type19(Type::TENSOR_FLOAT16, {4, 2, 2, 1});
OperandType type2(Type::TENSOR_INT32, {2, 2});
OperandType type4(Type::TENSOR_INT32, {2});
// Phase 1, operands
- auto op11 = model->addOperand(&type15);
+ auto op11 = model->addOperand(&type18);
auto param1 = model->addOperand(&type4);
auto paddings = model->addOperand(&type2);
auto layout = model->addOperand(&type0);
- auto op41 = model->addOperand(&type16);
+ auto op41 = model->addOperand(&type19);
+ // Phase 2, operations
+ static int32_t param1_init[] = {2, 2};
+ model->setOperandValue(param1, param1_init, sizeof(int32_t) * 2);
+ static int32_t paddings_init[] = {0, 0, 0, 0};
+ model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4);
+ static bool layout_init[] = {false};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {op11, param1, paddings, layout}, {op41});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op11},
+ {op41});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nhwc_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nhwc_quant8_2(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type2(Type::TENSOR_INT32, {2, 2});
+ OperandType type20(Type::TENSOR_QUANT8_ASYMM, {1, 4, 4, 1}, 0.5f, 0);
+ OperandType type21(Type::TENSOR_QUANT8_ASYMM, {4, 2, 2, 1}, 0.5f, 0);
+ OperandType type4(Type::TENSOR_INT32, {2});
+ // Phase 1, operands
+ auto op11 = model->addOperand(&type20);
+ auto param1 = model->addOperand(&type4);
+ auto paddings = model->addOperand(&type2);
+ auto layout = model->addOperand(&type0);
+ auto op41 = model->addOperand(&type21);
// Phase 2, operations
static int32_t param1_init[] = {2, 2};
model->setOperandValue(param1, param1_init, sizeof(int32_t) * 2);
@@ -296,16 +392,16 @@
void CreateModel_nchw_2(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type17(Type::TENSOR_FLOAT32, {1, 1, 4, 4});
- OperandType type18(Type::TENSOR_FLOAT32, {4, 1, 2, 2});
OperandType type2(Type::TENSOR_INT32, {2, 2});
+ OperandType type22(Type::TENSOR_FLOAT32, {1, 1, 4, 4});
+ OperandType type23(Type::TENSOR_FLOAT32, {4, 1, 2, 2});
OperandType type4(Type::TENSOR_INT32, {2});
// Phase 1, operands
- auto op11 = model->addOperand(&type17);
+ auto op11 = model->addOperand(&type22);
auto param1 = model->addOperand(&type4);
auto paddings = model->addOperand(&type2);
auto layout = model->addOperand(&type0);
- auto op41 = model->addOperand(&type18);
+ auto op41 = model->addOperand(&type23);
// Phase 2, operations
static int32_t param1_init[] = {2, 2};
model->setOperandValue(param1, param1_init, sizeof(int32_t) * 2);
@@ -328,16 +424,16 @@
void CreateModel_nchw_relaxed_2(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type17(Type::TENSOR_FLOAT32, {1, 1, 4, 4});
- OperandType type18(Type::TENSOR_FLOAT32, {4, 1, 2, 2});
OperandType type2(Type::TENSOR_INT32, {2, 2});
+ OperandType type22(Type::TENSOR_FLOAT32, {1, 1, 4, 4});
+ OperandType type23(Type::TENSOR_FLOAT32, {4, 1, 2, 2});
OperandType type4(Type::TENSOR_INT32, {2});
// Phase 1, operands
- auto op11 = model->addOperand(&type17);
+ auto op11 = model->addOperand(&type22);
auto param1 = model->addOperand(&type4);
auto paddings = model->addOperand(&type2);
auto layout = model->addOperand(&type0);
- auto op41 = model->addOperand(&type18);
+ auto op41 = model->addOperand(&type23);
// Phase 2, operations
static int32_t param1_init[] = {2, 2};
model->setOperandValue(param1, param1_init, sizeof(int32_t) * 2);
@@ -360,18 +456,50 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_nchw_quant8_2(Model *model) {
+void CreateModel_nchw_float16_2(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type19(Type::TENSOR_QUANT8_ASYMM, {1, 1, 4, 4}, 0.5f, 0);
OperandType type2(Type::TENSOR_INT32, {2, 2});
- OperandType type20(Type::TENSOR_QUANT8_ASYMM, {4, 1, 2, 2}, 0.5f, 0);
+ OperandType type24(Type::TENSOR_FLOAT16, {1, 1, 4, 4});
+ OperandType type25(Type::TENSOR_FLOAT16, {4, 1, 2, 2});
OperandType type4(Type::TENSOR_INT32, {2});
// Phase 1, operands
- auto op11 = model->addOperand(&type19);
+ auto op11 = model->addOperand(&type24);
auto param1 = model->addOperand(&type4);
auto paddings = model->addOperand(&type2);
auto layout = model->addOperand(&type0);
- auto op41 = model->addOperand(&type20);
+ auto op41 = model->addOperand(&type25);
+ // Phase 2, operations
+ static int32_t param1_init[] = {2, 2};
+ model->setOperandValue(param1, param1_init, sizeof(int32_t) * 2);
+ static int32_t paddings_init[] = {0, 0, 0, 0};
+ model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4);
+ static bool layout_init[] = {true};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {op11, param1, paddings, layout}, {op41});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op11},
+ {op41});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nchw_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nchw_quant8_2(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type2(Type::TENSOR_INT32, {2, 2});
+ OperandType type26(Type::TENSOR_QUANT8_ASYMM, {1, 1, 4, 4}, 0.5f, 0);
+ OperandType type27(Type::TENSOR_QUANT8_ASYMM, {4, 1, 2, 2}, 0.5f, 0);
+ OperandType type4(Type::TENSOR_INT32, {2});
+ // Phase 1, operands
+ auto op11 = model->addOperand(&type26);
+ auto param1 = model->addOperand(&type4);
+ auto paddings = model->addOperand(&type2);
+ auto layout = model->addOperand(&type0);
+ auto op41 = model->addOperand(&type27);
// Phase 2, operations
static int32_t param1_init[] = {2, 2};
model->setOperandValue(param1, param1_init, sizeof(int32_t) * 2);
@@ -458,18 +586,50 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_nhwc_quant8_3(Model *model) {
+void CreateModel_nhwc_float16_3(Model *model) {
OperandType type0(Type::BOOL, {});
OperandType type2(Type::TENSOR_INT32, {2, 2});
- OperandType type21(Type::TENSOR_QUANT8_ASYMM, {1, 5, 2, 1}, 0.5f, 0);
- OperandType type22(Type::TENSOR_QUANT8_ASYMM, {6, 2, 2, 1}, 0.5f, 0);
+ OperandType type28(Type::TENSOR_FLOAT16, {1, 5, 2, 1});
+ OperandType type29(Type::TENSOR_FLOAT16, {6, 2, 2, 1});
OperandType type4(Type::TENSOR_INT32, {2});
// Phase 1, operands
- auto op12 = model->addOperand(&type21);
+ auto op12 = model->addOperand(&type28);
auto param2 = model->addOperand(&type4);
auto paddings1 = model->addOperand(&type2);
auto layout = model->addOperand(&type0);
- auto op42 = model->addOperand(&type22);
+ auto op42 = model->addOperand(&type29);
+ // Phase 2, operations
+ static int32_t param2_init[] = {3, 2};
+ model->setOperandValue(param2, param2_init, sizeof(int32_t) * 2);
+ static int32_t paddings1_init[] = {1, 0, 2, 0};
+ model->setOperandValue(paddings1, paddings1_init, sizeof(int32_t) * 4);
+ static bool layout_init[] = {false};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {op12, param2, paddings1, layout}, {op42});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op12},
+ {op42});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nhwc_float16_3(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nhwc_quant8_3(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type2(Type::TENSOR_INT32, {2, 2});
+ OperandType type30(Type::TENSOR_QUANT8_ASYMM, {1, 5, 2, 1}, 0.5f, 0);
+ OperandType type31(Type::TENSOR_QUANT8_ASYMM, {6, 2, 2, 1}, 0.5f, 0);
+ OperandType type4(Type::TENSOR_INT32, {2});
+ // Phase 1, operands
+ auto op12 = model->addOperand(&type30);
+ auto param2 = model->addOperand(&type4);
+ auto paddings1 = model->addOperand(&type2);
+ auto layout = model->addOperand(&type0);
+ auto op42 = model->addOperand(&type31);
// Phase 2, operations
static int32_t param2_init[] = {3, 2};
model->setOperandValue(param2, param2_init, sizeof(int32_t) * 2);
@@ -493,15 +653,15 @@
void CreateModel_nchw_3(Model *model) {
OperandType type0(Type::BOOL, {});
OperandType type2(Type::TENSOR_INT32, {2, 2});
- OperandType type23(Type::TENSOR_FLOAT32, {1, 1, 5, 2});
- OperandType type24(Type::TENSOR_FLOAT32, {6, 1, 2, 2});
+ OperandType type32(Type::TENSOR_FLOAT32, {1, 1, 5, 2});
+ OperandType type33(Type::TENSOR_FLOAT32, {6, 1, 2, 2});
OperandType type4(Type::TENSOR_INT32, {2});
// Phase 1, operands
- auto op12 = model->addOperand(&type23);
+ auto op12 = model->addOperand(&type32);
auto param2 = model->addOperand(&type4);
auto paddings1 = model->addOperand(&type2);
auto layout = model->addOperand(&type0);
- auto op42 = model->addOperand(&type24);
+ auto op42 = model->addOperand(&type33);
// Phase 2, operations
static int32_t param2_init[] = {3, 2};
model->setOperandValue(param2, param2_init, sizeof(int32_t) * 2);
@@ -525,15 +685,15 @@
void CreateModel_nchw_relaxed_3(Model *model) {
OperandType type0(Type::BOOL, {});
OperandType type2(Type::TENSOR_INT32, {2, 2});
- OperandType type23(Type::TENSOR_FLOAT32, {1, 1, 5, 2});
- OperandType type24(Type::TENSOR_FLOAT32, {6, 1, 2, 2});
+ OperandType type32(Type::TENSOR_FLOAT32, {1, 1, 5, 2});
+ OperandType type33(Type::TENSOR_FLOAT32, {6, 1, 2, 2});
OperandType type4(Type::TENSOR_INT32, {2});
// Phase 1, operands
- auto op12 = model->addOperand(&type23);
+ auto op12 = model->addOperand(&type32);
auto param2 = model->addOperand(&type4);
auto paddings1 = model->addOperand(&type2);
auto layout = model->addOperand(&type0);
- auto op42 = model->addOperand(&type24);
+ auto op42 = model->addOperand(&type33);
// Phase 2, operations
static int32_t param2_init[] = {3, 2};
model->setOperandValue(param2, param2_init, sizeof(int32_t) * 2);
@@ -556,18 +716,50 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_nchw_quant8_3(Model *model) {
+void CreateModel_nchw_float16_3(Model *model) {
OperandType type0(Type::BOOL, {});
OperandType type2(Type::TENSOR_INT32, {2, 2});
- OperandType type25(Type::TENSOR_QUANT8_ASYMM, {1, 1, 5, 2}, 0.5f, 0);
- OperandType type26(Type::TENSOR_QUANT8_ASYMM, {6, 1, 2, 2}, 0.5f, 0);
+ OperandType type34(Type::TENSOR_FLOAT16, {1, 1, 5, 2});
+ OperandType type35(Type::TENSOR_FLOAT16, {6, 1, 2, 2});
OperandType type4(Type::TENSOR_INT32, {2});
// Phase 1, operands
- auto op12 = model->addOperand(&type25);
+ auto op12 = model->addOperand(&type34);
auto param2 = model->addOperand(&type4);
auto paddings1 = model->addOperand(&type2);
auto layout = model->addOperand(&type0);
- auto op42 = model->addOperand(&type26);
+ auto op42 = model->addOperand(&type35);
+ // Phase 2, operations
+ static int32_t param2_init[] = {3, 2};
+ model->setOperandValue(param2, param2_init, sizeof(int32_t) * 2);
+ static int32_t paddings1_init[] = {1, 0, 2, 0};
+ model->setOperandValue(paddings1, paddings1_init, sizeof(int32_t) * 4);
+ static bool layout_init[] = {true};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {op12, param2, paddings1, layout}, {op42});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op12},
+ {op42});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nchw_float16_3(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nchw_quant8_3(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type2(Type::TENSOR_INT32, {2, 2});
+ OperandType type36(Type::TENSOR_QUANT8_ASYMM, {1, 1, 5, 2}, 0.5f, 0);
+ OperandType type37(Type::TENSOR_QUANT8_ASYMM, {6, 1, 2, 2}, 0.5f, 0);
+ OperandType type4(Type::TENSOR_INT32, {2});
+ // Phase 1, operands
+ auto op12 = model->addOperand(&type36);
+ auto param2 = model->addOperand(&type4);
+ auto paddings1 = model->addOperand(&type2);
+ auto layout = model->addOperand(&type0);
+ auto op42 = model->addOperand(&type37);
// Phase 2, operations
static int32_t param2_init[] = {3, 2};
model->setOperandValue(param2, param2_init, sizeof(int32_t) * 2);
@@ -654,18 +846,50 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_nhwc_quant8_4(Model *model) {
+void CreateModel_nhwc_float16_4(Model *model) {
OperandType type0(Type::BOOL, {});
OperandType type2(Type::TENSOR_INT32, {2, 2});
- OperandType type27(Type::TENSOR_QUANT8_ASYMM, {1, 4, 2, 1}, 0.25f, 0);
- OperandType type28(Type::TENSOR_QUANT8_ASYMM, {6, 2, 4, 1}, 0.25f, 0);
+ OperandType type38(Type::TENSOR_FLOAT16, {1, 4, 2, 1});
+ OperandType type39(Type::TENSOR_FLOAT16, {6, 2, 4, 1});
OperandType type4(Type::TENSOR_INT32, {2});
// Phase 1, operands
- auto op13 = model->addOperand(&type27);
+ auto op13 = model->addOperand(&type38);
auto param3 = model->addOperand(&type4);
auto paddings2 = model->addOperand(&type2);
auto layout = model->addOperand(&type0);
- auto op43 = model->addOperand(&type28);
+ auto op43 = model->addOperand(&type39);
+ // Phase 2, operations
+ static int32_t param3_init[] = {3, 2};
+ model->setOperandValue(param3, param3_init, sizeof(int32_t) * 2);
+ static int32_t paddings2_init[] = {1, 1, 2, 4};
+ model->setOperandValue(paddings2, paddings2_init, sizeof(int32_t) * 4);
+ static bool layout_init[] = {false};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {op13, param3, paddings2, layout}, {op43});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op13},
+ {op43});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nhwc_float16_4(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nhwc_quant8_4(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type2(Type::TENSOR_INT32, {2, 2});
+ OperandType type4(Type::TENSOR_INT32, {2});
+ OperandType type40(Type::TENSOR_QUANT8_ASYMM, {1, 4, 2, 1}, 0.25f, 0);
+ OperandType type41(Type::TENSOR_QUANT8_ASYMM, {6, 2, 4, 1}, 0.25f, 0);
+ // Phase 1, operands
+ auto op13 = model->addOperand(&type40);
+ auto param3 = model->addOperand(&type4);
+ auto paddings2 = model->addOperand(&type2);
+ auto layout = model->addOperand(&type0);
+ auto op43 = model->addOperand(&type41);
// Phase 2, operations
static int32_t param3_init[] = {3, 2};
model->setOperandValue(param3, param3_init, sizeof(int32_t) * 2);
@@ -689,15 +913,15 @@
void CreateModel_nchw_4(Model *model) {
OperandType type0(Type::BOOL, {});
OperandType type2(Type::TENSOR_INT32, {2, 2});
- OperandType type29(Type::TENSOR_FLOAT32, {1, 1, 4, 2});
- OperandType type30(Type::TENSOR_FLOAT32, {6, 1, 2, 4});
OperandType type4(Type::TENSOR_INT32, {2});
+ OperandType type42(Type::TENSOR_FLOAT32, {1, 1, 4, 2});
+ OperandType type43(Type::TENSOR_FLOAT32, {6, 1, 2, 4});
// Phase 1, operands
- auto op13 = model->addOperand(&type29);
+ auto op13 = model->addOperand(&type42);
auto param3 = model->addOperand(&type4);
auto paddings2 = model->addOperand(&type2);
auto layout = model->addOperand(&type0);
- auto op43 = model->addOperand(&type30);
+ auto op43 = model->addOperand(&type43);
// Phase 2, operations
static int32_t param3_init[] = {3, 2};
model->setOperandValue(param3, param3_init, sizeof(int32_t) * 2);
@@ -721,15 +945,15 @@
void CreateModel_nchw_relaxed_4(Model *model) {
OperandType type0(Type::BOOL, {});
OperandType type2(Type::TENSOR_INT32, {2, 2});
- OperandType type29(Type::TENSOR_FLOAT32, {1, 1, 4, 2});
- OperandType type30(Type::TENSOR_FLOAT32, {6, 1, 2, 4});
OperandType type4(Type::TENSOR_INT32, {2});
+ OperandType type42(Type::TENSOR_FLOAT32, {1, 1, 4, 2});
+ OperandType type43(Type::TENSOR_FLOAT32, {6, 1, 2, 4});
// Phase 1, operands
- auto op13 = model->addOperand(&type29);
+ auto op13 = model->addOperand(&type42);
auto param3 = model->addOperand(&type4);
auto paddings2 = model->addOperand(&type2);
auto layout = model->addOperand(&type0);
- auto op43 = model->addOperand(&type30);
+ auto op43 = model->addOperand(&type43);
// Phase 2, operations
static int32_t param3_init[] = {3, 2};
model->setOperandValue(param3, param3_init, sizeof(int32_t) * 2);
@@ -752,18 +976,50 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_nchw_quant8_4(Model *model) {
+void CreateModel_nchw_float16_4(Model *model) {
OperandType type0(Type::BOOL, {});
OperandType type2(Type::TENSOR_INT32, {2, 2});
- OperandType type31(Type::TENSOR_QUANT8_ASYMM, {1, 1, 4, 2}, 0.25f, 0);
- OperandType type32(Type::TENSOR_QUANT8_ASYMM, {6, 1, 2, 4}, 0.25f, 0);
OperandType type4(Type::TENSOR_INT32, {2});
+ OperandType type44(Type::TENSOR_FLOAT16, {1, 1, 4, 2});
+ OperandType type45(Type::TENSOR_FLOAT16, {6, 1, 2, 4});
// Phase 1, operands
- auto op13 = model->addOperand(&type31);
+ auto op13 = model->addOperand(&type44);
auto param3 = model->addOperand(&type4);
auto paddings2 = model->addOperand(&type2);
auto layout = model->addOperand(&type0);
- auto op43 = model->addOperand(&type32);
+ auto op43 = model->addOperand(&type45);
+ // Phase 2, operations
+ static int32_t param3_init[] = {3, 2};
+ model->setOperandValue(param3, param3_init, sizeof(int32_t) * 2);
+ static int32_t paddings2_init[] = {1, 1, 2, 4};
+ model->setOperandValue(paddings2, paddings2_init, sizeof(int32_t) * 4);
+ static bool layout_init[] = {true};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {op13, param3, paddings2, layout}, {op43});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op13},
+ {op43});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nchw_float16_4(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nchw_quant8_4(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type2(Type::TENSOR_INT32, {2, 2});
+ OperandType type4(Type::TENSOR_INT32, {2});
+ OperandType type46(Type::TENSOR_QUANT8_ASYMM, {1, 1, 4, 2}, 0.25f, 0);
+ OperandType type47(Type::TENSOR_QUANT8_ASYMM, {6, 1, 2, 4}, 0.25f, 0);
+ // Phase 1, operands
+ auto op13 = model->addOperand(&type46);
+ auto param3 = model->addOperand(&type4);
+ auto paddings2 = model->addOperand(&type2);
+ auto layout = model->addOperand(&type0);
+ auto op43 = model->addOperand(&type47);
// Phase 2, operations
static int32_t param3_init[] = {3, 2};
model->setOperandValue(param3, param3_init, sizeof(int32_t) * 2);
diff --git a/nn/runtime/test/generated/models/space_to_depth_v1_2.model.cpp b/nn/runtime/test/generated/models/space_to_depth_v1_2.model.cpp
index 5660e85..8384153 100644
--- a/nn/runtime/test/generated/models/space_to_depth_v1_2.model.cpp
+++ b/nn/runtime/test/generated/models/space_to_depth_v1_2.model.cpp
@@ -58,11 +58,11 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_nhwc_quant8(Model *model) {
+void CreateModel_nhwc_float16(Model *model) {
OperandType type0(Type::BOOL, {});
OperandType type3(Type::INT32, {});
- OperandType type8(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.1f, 0);
- OperandType type9(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 8}, 0.1f, 0);
+ OperandType type8(Type::TENSOR_FLOAT16, {1, 2, 2, 2});
+ OperandType type9(Type::TENSOR_FLOAT16, {1, 1, 1, 8});
// Phase 1, operands
auto op1 = model->addOperand(&type8);
auto param = model->addOperand(&type3);
@@ -81,6 +81,34 @@
assert(model->isValid());
}
+inline bool is_ignored_nhwc_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nhwc_quant8(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type10(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.1f, 0);
+ OperandType type11(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 8}, 0.1f, 0);
+ OperandType type3(Type::INT32, {});
+ // Phase 1, operands
+ auto op1 = model->addOperand(&type10);
+ auto param = model->addOperand(&type3);
+ auto layout = model->addOperand(&type0);
+ auto op4 = model->addOperand(&type11);
+ // Phase 2, operations
+ static int32_t param_init[] = {2};
+ model->setOperandValue(param, param_init, sizeof(int32_t) * 1);
+ static bool layout_init[] = {false};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {op1, param, layout}, {op4});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op1},
+ {op4});
+ assert(model->isValid());
+}
+
inline bool is_ignored_nhwc_quant8(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
@@ -89,13 +117,13 @@
void CreateModel_nchw(Model *model) {
OperandType type0(Type::BOOL, {});
OperandType type1(Type::TENSOR_FLOAT32, {1, 2, 2, 2});
- OperandType type10(Type::TENSOR_FLOAT32, {1, 8, 1, 1});
+ OperandType type12(Type::TENSOR_FLOAT32, {1, 8, 1, 1});
OperandType type3(Type::INT32, {});
// Phase 1, operands
auto op1 = model->addOperand(&type1);
auto param = model->addOperand(&type3);
auto layout = model->addOperand(&type0);
- auto op4 = model->addOperand(&type10);
+ auto op4 = model->addOperand(&type12);
// Phase 2, operations
static int32_t param_init[] = {2};
model->setOperandValue(param, param_init, sizeof(int32_t) * 1);
@@ -117,13 +145,13 @@
void CreateModel_nchw_relaxed(Model *model) {
OperandType type0(Type::BOOL, {});
OperandType type1(Type::TENSOR_FLOAT32, {1, 2, 2, 2});
- OperandType type10(Type::TENSOR_FLOAT32, {1, 8, 1, 1});
+ OperandType type12(Type::TENSOR_FLOAT32, {1, 8, 1, 1});
OperandType type3(Type::INT32, {});
// Phase 1, operands
auto op1 = model->addOperand(&type1);
auto param = model->addOperand(&type3);
auto layout = model->addOperand(&type0);
- auto op4 = model->addOperand(&type10);
+ auto op4 = model->addOperand(&type12);
// Phase 2, operations
static int32_t param_init[] = {2};
model->setOperandValue(param, param_init, sizeof(int32_t) * 1);
@@ -144,16 +172,44 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_nchw_quant8(Model *model) {
+void CreateModel_nchw_float16(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type11(Type::TENSOR_QUANT8_ASYMM, {1, 8, 1, 1}, 0.1f, 0);
+ OperandType type13(Type::TENSOR_FLOAT16, {1, 8, 1, 1});
OperandType type3(Type::INT32, {});
- OperandType type8(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.1f, 0);
+ OperandType type8(Type::TENSOR_FLOAT16, {1, 2, 2, 2});
// Phase 1, operands
auto op1 = model->addOperand(&type8);
auto param = model->addOperand(&type3);
auto layout = model->addOperand(&type0);
- auto op4 = model->addOperand(&type11);
+ auto op4 = model->addOperand(&type13);
+ // Phase 2, operations
+ static int32_t param_init[] = {2};
+ model->setOperandValue(param, param_init, sizeof(int32_t) * 1);
+ static bool layout_init[] = {true};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {op1, param, layout}, {op4});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op1},
+ {op4});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nchw_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nchw_quant8(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type10(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.1f, 0);
+ OperandType type14(Type::TENSOR_QUANT8_ASYMM, {1, 8, 1, 1}, 0.1f, 0);
+ OperandType type3(Type::INT32, {});
+ // Phase 1, operands
+ auto op1 = model->addOperand(&type10);
+ auto param = model->addOperand(&type3);
+ auto layout = model->addOperand(&type0);
+ auto op4 = model->addOperand(&type14);
// Phase 2, operations
static int32_t param_init[] = {2};
model->setOperandValue(param, param_init, sizeof(int32_t) * 1);
@@ -230,16 +286,44 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_nhwc_quant8_2(Model *model) {
+void CreateModel_nhwc_float16_2(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type12(Type::TENSOR_QUANT8_ASYMM, {1, 4, 4, 1}, 0.5f, 128);
- OperandType type13(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.5f, 128);
+ OperandType type15(Type::TENSOR_FLOAT16, {1, 4, 4, 1});
+ OperandType type16(Type::TENSOR_FLOAT16, {1, 2, 2, 4});
OperandType type3(Type::INT32, {});
// Phase 1, operands
- auto op11 = model->addOperand(&type12);
+ auto op11 = model->addOperand(&type15);
auto param1 = model->addOperand(&type3);
auto layout = model->addOperand(&type0);
- auto op41 = model->addOperand(&type13);
+ auto op41 = model->addOperand(&type16);
+ // Phase 2, operations
+ static int32_t param1_init[] = {2};
+ model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1);
+ static bool layout_init[] = {false};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {op11, param1, layout}, {op41});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op11},
+ {op41});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nhwc_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nhwc_quant8_2(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type17(Type::TENSOR_QUANT8_ASYMM, {1, 4, 4, 1}, 0.5f, 128);
+ OperandType type18(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.5f, 128);
+ OperandType type3(Type::INT32, {});
+ // Phase 1, operands
+ auto op11 = model->addOperand(&type17);
+ auto param1 = model->addOperand(&type3);
+ auto layout = model->addOperand(&type0);
+ auto op41 = model->addOperand(&type18);
// Phase 2, operations
static int32_t param1_init[] = {2};
model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1);
@@ -260,14 +344,14 @@
void CreateModel_nchw_2(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type14(Type::TENSOR_FLOAT32, {1, 1, 4, 4});
- OperandType type15(Type::TENSOR_FLOAT32, {1, 4, 2, 2});
+ OperandType type19(Type::TENSOR_FLOAT32, {1, 1, 4, 4});
+ OperandType type20(Type::TENSOR_FLOAT32, {1, 4, 2, 2});
OperandType type3(Type::INT32, {});
// Phase 1, operands
- auto op11 = model->addOperand(&type14);
+ auto op11 = model->addOperand(&type19);
auto param1 = model->addOperand(&type3);
auto layout = model->addOperand(&type0);
- auto op41 = model->addOperand(&type15);
+ auto op41 = model->addOperand(&type20);
// Phase 2, operations
static int32_t param1_init[] = {2};
model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1);
@@ -288,14 +372,14 @@
void CreateModel_nchw_relaxed_2(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type14(Type::TENSOR_FLOAT32, {1, 1, 4, 4});
- OperandType type15(Type::TENSOR_FLOAT32, {1, 4, 2, 2});
+ OperandType type19(Type::TENSOR_FLOAT32, {1, 1, 4, 4});
+ OperandType type20(Type::TENSOR_FLOAT32, {1, 4, 2, 2});
OperandType type3(Type::INT32, {});
// Phase 1, operands
- auto op11 = model->addOperand(&type14);
+ auto op11 = model->addOperand(&type19);
auto param1 = model->addOperand(&type3);
auto layout = model->addOperand(&type0);
- auto op41 = model->addOperand(&type15);
+ auto op41 = model->addOperand(&type20);
// Phase 2, operations
static int32_t param1_init[] = {2};
model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1);
@@ -316,16 +400,44 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_nchw_quant8_2(Model *model) {
+void CreateModel_nchw_float16_2(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type16(Type::TENSOR_QUANT8_ASYMM, {1, 1, 4, 4}, 0.5f, 128);
- OperandType type17(Type::TENSOR_QUANT8_ASYMM, {1, 4, 2, 2}, 0.5f, 128);
+ OperandType type21(Type::TENSOR_FLOAT16, {1, 1, 4, 4});
+ OperandType type22(Type::TENSOR_FLOAT16, {1, 4, 2, 2});
OperandType type3(Type::INT32, {});
// Phase 1, operands
- auto op11 = model->addOperand(&type16);
+ auto op11 = model->addOperand(&type21);
auto param1 = model->addOperand(&type3);
auto layout = model->addOperand(&type0);
- auto op41 = model->addOperand(&type17);
+ auto op41 = model->addOperand(&type22);
+ // Phase 2, operations
+ static int32_t param1_init[] = {2};
+ model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1);
+ static bool layout_init[] = {true};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {op11, param1, layout}, {op41});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op11},
+ {op41});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nchw_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nchw_quant8_2(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type23(Type::TENSOR_QUANT8_ASYMM, {1, 1, 4, 4}, 0.5f, 128);
+ OperandType type24(Type::TENSOR_QUANT8_ASYMM, {1, 4, 2, 2}, 0.5f, 128);
+ OperandType type3(Type::INT32, {});
+ // Phase 1, operands
+ auto op11 = model->addOperand(&type23);
+ auto param1 = model->addOperand(&type3);
+ auto layout = model->addOperand(&type0);
+ auto op41 = model->addOperand(&type24);
// Phase 2, operations
static int32_t param1_init[] = {2};
model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1);
@@ -402,16 +514,44 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_nhwc_quant8_3(Model *model) {
+void CreateModel_nhwc_float16_3(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type18(Type::TENSOR_QUANT8_ASYMM, {1, 4, 4, 2}, 1.0f, 0);
- OperandType type19(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 8}, 1.0f, 0);
+ OperandType type25(Type::TENSOR_FLOAT16, {1, 4, 4, 2});
+ OperandType type26(Type::TENSOR_FLOAT16, {1, 2, 2, 8});
OperandType type3(Type::INT32, {});
// Phase 1, operands
- auto op12 = model->addOperand(&type18);
+ auto op12 = model->addOperand(&type25);
auto param2 = model->addOperand(&type3);
auto layout = model->addOperand(&type0);
- auto op42 = model->addOperand(&type19);
+ auto op42 = model->addOperand(&type26);
+ // Phase 2, operations
+ static int32_t param2_init[] = {2};
+ model->setOperandValue(param2, param2_init, sizeof(int32_t) * 1);
+ static bool layout_init[] = {false};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {op12, param2, layout}, {op42});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op12},
+ {op42});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nhwc_float16_3(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nhwc_quant8_3(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type27(Type::TENSOR_QUANT8_ASYMM, {1, 4, 4, 2}, 1.0f, 0);
+ OperandType type28(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 8}, 1.0f, 0);
+ OperandType type3(Type::INT32, {});
+ // Phase 1, operands
+ auto op12 = model->addOperand(&type27);
+ auto param2 = model->addOperand(&type3);
+ auto layout = model->addOperand(&type0);
+ auto op42 = model->addOperand(&type28);
// Phase 2, operations
static int32_t param2_init[] = {2};
model->setOperandValue(param2, param2_init, sizeof(int32_t) * 1);
@@ -432,14 +572,14 @@
void CreateModel_nchw_3(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type20(Type::TENSOR_FLOAT32, {1, 2, 4, 4});
- OperandType type21(Type::TENSOR_FLOAT32, {1, 8, 2, 2});
+ OperandType type29(Type::TENSOR_FLOAT32, {1, 2, 4, 4});
OperandType type3(Type::INT32, {});
+ OperandType type30(Type::TENSOR_FLOAT32, {1, 8, 2, 2});
// Phase 1, operands
- auto op12 = model->addOperand(&type20);
+ auto op12 = model->addOperand(&type29);
auto param2 = model->addOperand(&type3);
auto layout = model->addOperand(&type0);
- auto op42 = model->addOperand(&type21);
+ auto op42 = model->addOperand(&type30);
// Phase 2, operations
static int32_t param2_init[] = {2};
model->setOperandValue(param2, param2_init, sizeof(int32_t) * 1);
@@ -460,14 +600,14 @@
void CreateModel_nchw_relaxed_3(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type20(Type::TENSOR_FLOAT32, {1, 2, 4, 4});
- OperandType type21(Type::TENSOR_FLOAT32, {1, 8, 2, 2});
+ OperandType type29(Type::TENSOR_FLOAT32, {1, 2, 4, 4});
OperandType type3(Type::INT32, {});
+ OperandType type30(Type::TENSOR_FLOAT32, {1, 8, 2, 2});
// Phase 1, operands
- auto op12 = model->addOperand(&type20);
+ auto op12 = model->addOperand(&type29);
auto param2 = model->addOperand(&type3);
auto layout = model->addOperand(&type0);
- auto op42 = model->addOperand(&type21);
+ auto op42 = model->addOperand(&type30);
// Phase 2, operations
static int32_t param2_init[] = {2};
model->setOperandValue(param2, param2_init, sizeof(int32_t) * 1);
@@ -488,16 +628,44 @@
return ignore.find(i) != ignore.end();
}
-void CreateModel_nchw_quant8_3(Model *model) {
+void CreateModel_nchw_float16_3(Model *model) {
OperandType type0(Type::BOOL, {});
- OperandType type22(Type::TENSOR_QUANT8_ASYMM, {1, 2, 4, 4}, 1.0f, 0);
- OperandType type23(Type::TENSOR_QUANT8_ASYMM, {1, 8, 2, 2}, 1.0f, 0);
OperandType type3(Type::INT32, {});
+ OperandType type31(Type::TENSOR_FLOAT16, {1, 2, 4, 4});
+ OperandType type32(Type::TENSOR_FLOAT16, {1, 8, 2, 2});
// Phase 1, operands
- auto op12 = model->addOperand(&type22);
+ auto op12 = model->addOperand(&type31);
auto param2 = model->addOperand(&type3);
auto layout = model->addOperand(&type0);
- auto op42 = model->addOperand(&type23);
+ auto op42 = model->addOperand(&type32);
+ // Phase 2, operations
+ static int32_t param2_init[] = {2};
+ model->setOperandValue(param2, param2_init, sizeof(int32_t) * 1);
+ static bool layout_init[] = {true};
+ model->setOperandValue(layout, layout_init, sizeof(bool) * 1);
+ model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {op12, param2, layout}, {op42});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op12},
+ {op42});
+ assert(model->isValid());
+}
+
+inline bool is_ignored_nchw_float16_3(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+void CreateModel_nchw_quant8_3(Model *model) {
+ OperandType type0(Type::BOOL, {});
+ OperandType type3(Type::INT32, {});
+ OperandType type33(Type::TENSOR_QUANT8_ASYMM, {1, 2, 4, 4}, 1.0f, 0);
+ OperandType type34(Type::TENSOR_QUANT8_ASYMM, {1, 8, 2, 2}, 1.0f, 0);
+ // Phase 1, operands
+ auto op12 = model->addOperand(&type33);
+ auto param2 = model->addOperand(&type3);
+ auto layout = model->addOperand(&type0);
+ auto op42 = model->addOperand(&type34);
// Phase 2, operations
static int32_t param2_init[] = {2};
model->setOperandValue(param2, param2_init, sizeof(int32_t) * 1);
diff --git a/nn/runtime/test/generated/models/squeeze_float16.model.cpp b/nn/runtime/test/generated/models/squeeze_float16.model.cpp
new file mode 100644
index 0000000..636d170
--- /dev/null
+++ b/nn/runtime/test/generated/models/squeeze_float16.model.cpp
@@ -0,0 +1,26 @@
+// clang-format off
+// Generated file (from: squeeze_float16.mod.py). Do not edit
+void CreateModel(Model *model) {
+ OperandType type0(Type::TENSOR_FLOAT16, {4, 1, 1, 2});
+ OperandType type1(Type::TENSOR_INT32, {2});
+ OperandType type2(Type::TENSOR_FLOAT16, {4, 2});
+ // Phase 1, operands
+ auto input = model->addOperand(&type0);
+ auto squeezeDims = model->addOperand(&type1);
+ auto output = model->addOperand(&type2);
+ // Phase 2, operations
+ static int32_t squeezeDims_init[] = {1, 2};
+ model->setOperandValue(squeezeDims, squeezeDims_init, sizeof(int32_t) * 2);
+ model->addOperation(ANEURALNETWORKS_SQUEEZE, {input, squeezeDims}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input},
+ {output});
+ assert(model->isValid());
+}
+
+inline bool is_ignored(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
diff --git a/nn/runtime/test/generated/models/strided_slice_float16.model.cpp b/nn/runtime/test/generated/models/strided_slice_float16.model.cpp
new file mode 100644
index 0000000..67bc705
--- /dev/null
+++ b/nn/runtime/test/generated/models/strided_slice_float16.model.cpp
@@ -0,0 +1,42 @@
+// clang-format off
+// Generated file (from: strided_slice_float16.mod.py). Do not edit
+void CreateModel(Model *model) {
+ OperandType type0(Type::TENSOR_FLOAT16, {2, 3});
+ OperandType type1(Type::TENSOR_INT32, {2});
+ OperandType type2(Type::INT32, {});
+ OperandType type3(Type::TENSOR_FLOAT16, {1, 2});
+ // Phase 1, operands
+ auto input = model->addOperand(&type0);
+ auto begins = model->addOperand(&type1);
+ auto ends = model->addOperand(&type1);
+ auto strides = model->addOperand(&type1);
+ auto beginMask = model->addOperand(&type2);
+ auto endMask = model->addOperand(&type2);
+ auto shrinkAxisMask = model->addOperand(&type2);
+ auto output = model->addOperand(&type3);
+ // Phase 2, operations
+ static int32_t begins_init[] = {0, 0};
+ model->setOperandValue(begins, begins_init, sizeof(int32_t) * 2);
+ static int32_t ends_init[] = {2, 3};
+ model->setOperandValue(ends, ends_init, sizeof(int32_t) * 2);
+ static int32_t strides_init[] = {2, 2};
+ model->setOperandValue(strides, strides_init, sizeof(int32_t) * 2);
+ static int32_t beginMask_init[] = {0};
+ model->setOperandValue(beginMask, beginMask_init, sizeof(int32_t) * 1);
+ static int32_t endMask_init[] = {0};
+ model->setOperandValue(endMask, endMask_init, sizeof(int32_t) * 1);
+ static int32_t shrinkAxisMask_init[] = {0};
+ model->setOperandValue(shrinkAxisMask, shrinkAxisMask_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input},
+ {output});
+ assert(model->isValid());
+}
+
+inline bool is_ignored(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
diff --git a/nn/runtime/test/generated/models/transpose_float16.model.cpp b/nn/runtime/test/generated/models/transpose_float16.model.cpp
new file mode 100644
index 0000000..bb7f53b
--- /dev/null
+++ b/nn/runtime/test/generated/models/transpose_float16.model.cpp
@@ -0,0 +1,25 @@
+// clang-format off
+// Generated file (from: transpose_float16.mod.py). Do not edit
+void CreateModel(Model *model) {
+ OperandType type0(Type::TENSOR_FLOAT16, {1, 2, 2, 1});
+ OperandType type1(Type::TENSOR_INT32, {4});
+ // Phase 1, operands
+ auto input = model->addOperand(&type0);
+ auto perms = model->addOperand(&type1);
+ auto output = model->addOperand(&type0);
+ // Phase 2, operations
+ static int32_t perms_init[] = {0, 2, 1, 3};
+ model->setOperandValue(perms, perms_init, sizeof(int32_t) * 4);
+ model->addOperation(ANEURALNETWORKS_TRANSPOSE, {input, perms}, {output});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {input},
+ {output});
+ assert(model->isValid());
+}
+
+inline bool is_ignored(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
diff --git a/nn/runtime/test/generated/tests/abs.mod.py.cpp b/nn/runtime/test/generated/tests/abs.mod.py.cpp
new file mode 100644
index 0000000..f148520
--- /dev/null
+++ b/nn/runtime/test/generated/tests/abs.mod.py.cpp
@@ -0,0 +1,29 @@
+// clang-format off
+// Generated file (from: abs.mod.py). Do not edit
+#include "../../TestGenerated.h"
+
+namespace abs {
+// Generated abs test
+#include "generated/examples/abs.example.cpp"
+// Generated model constructor
+#include "generated/models/abs.model.cpp"
+} // namespace abs
+
+TEST_F(GeneratedTests, abs) {
+ execute(abs::CreateModel,
+ abs::is_ignored,
+ abs::get_examples());
+}
+
+TEST_F(GeneratedTests, abs_relaxed) {
+ execute(abs::CreateModel_relaxed,
+ abs::is_ignored_relaxed,
+ abs::get_examples_relaxed());
+}
+
+TEST_F(GeneratedTests, abs_float16) {
+ execute(abs::CreateModel_float16,
+ abs::is_ignored_float16,
+ abs::get_examples_float16());
+}
+
diff --git a/nn/runtime/test/generated/tests/add.mod.py.cpp b/nn/runtime/test/generated/tests/add.mod.py.cpp
index 5e99f5c..f0003a9 100644
--- a/nn/runtime/test/generated/tests/add.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/add.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, add) {
execute(add::CreateModel,
add::is_ignored,
- add::examples);
+ add::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/add_broadcast_float16.mod.py.cpp b/nn/runtime/test/generated/tests/add_broadcast_float16.mod.py.cpp
index 1f41d1a..8f215ba 100644
--- a/nn/runtime/test/generated/tests/add_broadcast_float16.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/add_broadcast_float16.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, add_broadcast_float16) {
execute(add_broadcast_float16::CreateModel,
add_broadcast_float16::is_ignored,
- add_broadcast_float16::examples);
+ add_broadcast_float16::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/add_broadcast_quant8.mod.py.cpp b/nn/runtime/test/generated/tests/add_broadcast_quant8.mod.py.cpp
index 90b1c82..5da3678 100644
--- a/nn/runtime/test/generated/tests/add_broadcast_quant8.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/add_broadcast_quant8.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, add_broadcast_quant8) {
execute(add_broadcast_quant8::CreateModel,
add_broadcast_quant8::is_ignored,
- add_broadcast_quant8::examples);
+ add_broadcast_quant8::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/add_float16.mod.py.cpp b/nn/runtime/test/generated/tests/add_float16.mod.py.cpp
index b7f3d89..795c6c6 100644
--- a/nn/runtime/test/generated/tests/add_float16.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/add_float16.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, add_float16) {
execute(add_float16::CreateModel,
add_float16::is_ignored,
- add_float16::examples);
+ add_float16::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/add_quant8.mod.py.cpp b/nn/runtime/test/generated/tests/add_quant8.mod.py.cpp
index 605e388..4304652 100644
--- a/nn/runtime/test/generated/tests/add_quant8.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/add_quant8.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, add_quant8) {
execute(add_quant8::CreateModel,
add_quant8::is_ignored,
- add_quant8::examples);
+ add_quant8::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/add_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/add_relaxed.mod.py.cpp
index 40439b0..bfd483e 100644
--- a/nn/runtime/test/generated/tests/add_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/add_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, add_relaxed) {
execute(add_relaxed::CreateModel,
add_relaxed::is_ignored,
- add_relaxed::examples);
+ add_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/argmax_1.mod.py.cpp b/nn/runtime/test/generated/tests/argmax_1.mod.py.cpp
new file mode 100644
index 0000000..08229f1
--- /dev/null
+++ b/nn/runtime/test/generated/tests/argmax_1.mod.py.cpp
@@ -0,0 +1,41 @@
+// clang-format off
+// Generated file (from: argmax_1.mod.py). Do not edit
+#include "../../TestGenerated.h"
+
+namespace argmax_1 {
+// Generated argmax_1 test
+#include "generated/examples/argmax_1.example.cpp"
+// Generated model constructor
+#include "generated/models/argmax_1.model.cpp"
+} // namespace argmax_1
+
+TEST_F(GeneratedTests, argmax_1) {
+ execute(argmax_1::CreateModel,
+ argmax_1::is_ignored,
+ argmax_1::get_examples());
+}
+
+TEST_F(GeneratedTests, argmax_1_relaxed) {
+ execute(argmax_1::CreateModel_relaxed,
+ argmax_1::is_ignored_relaxed,
+ argmax_1::get_examples_relaxed());
+}
+
+TEST_F(GeneratedTests, argmax_1_float16) {
+ execute(argmax_1::CreateModel_float16,
+ argmax_1::is_ignored_float16,
+ argmax_1::get_examples_float16());
+}
+
+TEST_F(GeneratedTests, argmax_1_int32) {
+ execute(argmax_1::CreateModel_int32,
+ argmax_1::is_ignored_int32,
+ argmax_1::get_examples_int32());
+}
+
+TEST_F(GeneratedTests, argmax_1_quant8) {
+ execute(argmax_1::CreateModel_quant8,
+ argmax_1::is_ignored_quant8,
+ argmax_1::get_examples_quant8());
+}
+
diff --git a/nn/runtime/test/generated/tests/argmax_1_float.mod.py.cpp b/nn/runtime/test/generated/tests/argmax_1_float.mod.py.cpp
deleted file mode 100644
index a9132d3..0000000
--- a/nn/runtime/test/generated/tests/argmax_1_float.mod.py.cpp
+++ /dev/null
@@ -1,17 +0,0 @@
-// clang-format off
-// Generated file (from: argmax_1_float.mod.py). Do not edit
-#include "../../TestGenerated.h"
-
-namespace argmax_1_float {
-// Generated argmax_1_float test
-#include "generated/examples/argmax_1_float.example.cpp"
-// Generated model constructor
-#include "generated/models/argmax_1_float.model.cpp"
-} // namespace argmax_1_float
-
-TEST_F(GeneratedTests, argmax_1_float) {
- execute(argmax_1_float::CreateModel,
- argmax_1_float::is_ignored,
- argmax_1_float::examples);
-}
-
diff --git a/nn/runtime/test/generated/tests/argmax_1_float_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/argmax_1_float_relaxed.mod.py.cpp
deleted file mode 100644
index 1f96d26..0000000
--- a/nn/runtime/test/generated/tests/argmax_1_float_relaxed.mod.py.cpp
+++ /dev/null
@@ -1,17 +0,0 @@
-// clang-format off
-// Generated file (from: argmax_1_float_relaxed.mod.py). Do not edit
-#include "../../TestGenerated.h"
-
-namespace argmax_1_float_relaxed {
-// Generated argmax_1_float_relaxed test
-#include "generated/examples/argmax_1_float_relaxed.example.cpp"
-// Generated model constructor
-#include "generated/models/argmax_1_float_relaxed.model.cpp"
-} // namespace argmax_1_float_relaxed
-
-TEST_F(GeneratedTests, argmax_1_float_relaxed) {
- execute(argmax_1_float_relaxed::CreateModel,
- argmax_1_float_relaxed::is_ignored,
- argmax_1_float_relaxed::examples);
-}
-
diff --git a/nn/runtime/test/generated/tests/argmax_1_int32.mod.py.cpp b/nn/runtime/test/generated/tests/argmax_1_int32.mod.py.cpp
deleted file mode 100644
index 8ff34b5..0000000
--- a/nn/runtime/test/generated/tests/argmax_1_int32.mod.py.cpp
+++ /dev/null
@@ -1,17 +0,0 @@
-// clang-format off
-// Generated file (from: argmax_1_int32.mod.py). Do not edit
-#include "../../TestGenerated.h"
-
-namespace argmax_1_int32 {
-// Generated argmax_1_int32 test
-#include "generated/examples/argmax_1_int32.example.cpp"
-// Generated model constructor
-#include "generated/models/argmax_1_int32.model.cpp"
-} // namespace argmax_1_int32
-
-TEST_F(GeneratedTests, argmax_1_int32) {
- execute(argmax_1_int32::CreateModel,
- argmax_1_int32::is_ignored,
- argmax_1_int32::examples);
-}
-
diff --git a/nn/runtime/test/generated/tests/argmax_1_quant8.mod.py.cpp b/nn/runtime/test/generated/tests/argmax_1_quant8.mod.py.cpp
deleted file mode 100644
index 69522c7..0000000
--- a/nn/runtime/test/generated/tests/argmax_1_quant8.mod.py.cpp
+++ /dev/null
@@ -1,17 +0,0 @@
-// clang-format off
-// Generated file (from: argmax_1_quant8.mod.py). Do not edit
-#include "../../TestGenerated.h"
-
-namespace argmax_1_quant8 {
-// Generated argmax_1_quant8 test
-#include "generated/examples/argmax_1_quant8.example.cpp"
-// Generated model constructor
-#include "generated/models/argmax_1_quant8.model.cpp"
-} // namespace argmax_1_quant8
-
-TEST_F(GeneratedTests, argmax_1_quant8) {
- execute(argmax_1_quant8::CreateModel,
- argmax_1_quant8::is_ignored,
- argmax_1_quant8::examples);
-}
-
diff --git a/nn/runtime/test/generated/tests/argmax_2.mod.py.cpp b/nn/runtime/test/generated/tests/argmax_2.mod.py.cpp
new file mode 100644
index 0000000..504aa71
--- /dev/null
+++ b/nn/runtime/test/generated/tests/argmax_2.mod.py.cpp
@@ -0,0 +1,41 @@
+// clang-format off
+// Generated file (from: argmax_2.mod.py). Do not edit
+#include "../../TestGenerated.h"
+
+namespace argmax_2 {
+// Generated argmax_2 test
+#include "generated/examples/argmax_2.example.cpp"
+// Generated model constructor
+#include "generated/models/argmax_2.model.cpp"
+} // namespace argmax_2
+
+TEST_F(GeneratedTests, argmax_2) {
+ execute(argmax_2::CreateModel,
+ argmax_2::is_ignored,
+ argmax_2::get_examples());
+}
+
+TEST_F(GeneratedTests, argmax_2_relaxed) {
+ execute(argmax_2::CreateModel_relaxed,
+ argmax_2::is_ignored_relaxed,
+ argmax_2::get_examples_relaxed());
+}
+
+TEST_F(GeneratedTests, argmax_2_float16) {
+ execute(argmax_2::CreateModel_float16,
+ argmax_2::is_ignored_float16,
+ argmax_2::get_examples_float16());
+}
+
+TEST_F(GeneratedTests, argmax_2_int32) {
+ execute(argmax_2::CreateModel_int32,
+ argmax_2::is_ignored_int32,
+ argmax_2::get_examples_int32());
+}
+
+TEST_F(GeneratedTests, argmax_2_quant8) {
+ execute(argmax_2::CreateModel_quant8,
+ argmax_2::is_ignored_quant8,
+ argmax_2::get_examples_quant8());
+}
+
diff --git a/nn/runtime/test/generated/tests/argmax_2_float.mod.py.cpp b/nn/runtime/test/generated/tests/argmax_2_float.mod.py.cpp
deleted file mode 100644
index e54d48a..0000000
--- a/nn/runtime/test/generated/tests/argmax_2_float.mod.py.cpp
+++ /dev/null
@@ -1,17 +0,0 @@
-// clang-format off
-// Generated file (from: argmax_2_float.mod.py). Do not edit
-#include "../../TestGenerated.h"
-
-namespace argmax_2_float {
-// Generated argmax_2_float test
-#include "generated/examples/argmax_2_float.example.cpp"
-// Generated model constructor
-#include "generated/models/argmax_2_float.model.cpp"
-} // namespace argmax_2_float
-
-TEST_F(GeneratedTests, argmax_2_float) {
- execute(argmax_2_float::CreateModel,
- argmax_2_float::is_ignored,
- argmax_2_float::examples);
-}
-
diff --git a/nn/runtime/test/generated/tests/argmax_2_float_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/argmax_2_float_relaxed.mod.py.cpp
deleted file mode 100644
index 88420a4..0000000
--- a/nn/runtime/test/generated/tests/argmax_2_float_relaxed.mod.py.cpp
+++ /dev/null
@@ -1,17 +0,0 @@
-// clang-format off
-// Generated file (from: argmax_2_float_relaxed.mod.py). Do not edit
-#include "../../TestGenerated.h"
-
-namespace argmax_2_float_relaxed {
-// Generated argmax_2_float_relaxed test
-#include "generated/examples/argmax_2_float_relaxed.example.cpp"
-// Generated model constructor
-#include "generated/models/argmax_2_float_relaxed.model.cpp"
-} // namespace argmax_2_float_relaxed
-
-TEST_F(GeneratedTests, argmax_2_float_relaxed) {
- execute(argmax_2_float_relaxed::CreateModel,
- argmax_2_float_relaxed::is_ignored,
- argmax_2_float_relaxed::examples);
-}
-
diff --git a/nn/runtime/test/generated/tests/argmax_2_int32.mod.py.cpp b/nn/runtime/test/generated/tests/argmax_2_int32.mod.py.cpp
deleted file mode 100644
index 5a6f5a7..0000000
--- a/nn/runtime/test/generated/tests/argmax_2_int32.mod.py.cpp
+++ /dev/null
@@ -1,17 +0,0 @@
-// clang-format off
-// Generated file (from: argmax_2_int32.mod.py). Do not edit
-#include "../../TestGenerated.h"
-
-namespace argmax_2_int32 {
-// Generated argmax_2_int32 test
-#include "generated/examples/argmax_2_int32.example.cpp"
-// Generated model constructor
-#include "generated/models/argmax_2_int32.model.cpp"
-} // namespace argmax_2_int32
-
-TEST_F(GeneratedTests, argmax_2_int32) {
- execute(argmax_2_int32::CreateModel,
- argmax_2_int32::is_ignored,
- argmax_2_int32::examples);
-}
-
diff --git a/nn/runtime/test/generated/tests/argmax_2_quant8.mod.py.cpp b/nn/runtime/test/generated/tests/argmax_2_quant8.mod.py.cpp
deleted file mode 100644
index 95c4618..0000000
--- a/nn/runtime/test/generated/tests/argmax_2_quant8.mod.py.cpp
+++ /dev/null
@@ -1,17 +0,0 @@
-// clang-format off
-// Generated file (from: argmax_2_quant8.mod.py). Do not edit
-#include "../../TestGenerated.h"
-
-namespace argmax_2_quant8 {
-// Generated argmax_2_quant8 test
-#include "generated/examples/argmax_2_quant8.example.cpp"
-// Generated model constructor
-#include "generated/models/argmax_2_quant8.model.cpp"
-} // namespace argmax_2_quant8
-
-TEST_F(GeneratedTests, argmax_2_quant8) {
- execute(argmax_2_quant8::CreateModel,
- argmax_2_quant8::is_ignored,
- argmax_2_quant8::examples);
-}
-
diff --git a/nn/runtime/test/generated/tests/argmax_3.mod.py.cpp b/nn/runtime/test/generated/tests/argmax_3.mod.py.cpp
new file mode 100644
index 0000000..c69947e
--- /dev/null
+++ b/nn/runtime/test/generated/tests/argmax_3.mod.py.cpp
@@ -0,0 +1,41 @@
+// clang-format off
+// Generated file (from: argmax_3.mod.py). Do not edit
+#include "../../TestGenerated.h"
+
+namespace argmax_3 {
+// Generated argmax_3 test
+#include "generated/examples/argmax_3.example.cpp"
+// Generated model constructor
+#include "generated/models/argmax_3.model.cpp"
+} // namespace argmax_3
+
+TEST_F(GeneratedTests, argmax_3) {
+ execute(argmax_3::CreateModel,
+ argmax_3::is_ignored,
+ argmax_3::get_examples());
+}
+
+TEST_F(GeneratedTests, argmax_3_relaxed) {
+ execute(argmax_3::CreateModel_relaxed,
+ argmax_3::is_ignored_relaxed,
+ argmax_3::get_examples_relaxed());
+}
+
+TEST_F(GeneratedTests, argmax_3_float16) {
+ execute(argmax_3::CreateModel_float16,
+ argmax_3::is_ignored_float16,
+ argmax_3::get_examples_float16());
+}
+
+TEST_F(GeneratedTests, argmax_3_int32) {
+ execute(argmax_3::CreateModel_int32,
+ argmax_3::is_ignored_int32,
+ argmax_3::get_examples_int32());
+}
+
+TEST_F(GeneratedTests, argmax_3_quant8) {
+ execute(argmax_3::CreateModel_quant8,
+ argmax_3::is_ignored_quant8,
+ argmax_3::get_examples_quant8());
+}
+
diff --git a/nn/runtime/test/generated/tests/argmax_3_float.mod.py.cpp b/nn/runtime/test/generated/tests/argmax_3_float.mod.py.cpp
deleted file mode 100644
index 43a400b..0000000
--- a/nn/runtime/test/generated/tests/argmax_3_float.mod.py.cpp
+++ /dev/null
@@ -1,17 +0,0 @@
-// clang-format off
-// Generated file (from: argmax_3_float.mod.py). Do not edit
-#include "../../TestGenerated.h"
-
-namespace argmax_3_float {
-// Generated argmax_3_float test
-#include "generated/examples/argmax_3_float.example.cpp"
-// Generated model constructor
-#include "generated/models/argmax_3_float.model.cpp"
-} // namespace argmax_3_float
-
-TEST_F(GeneratedTests, argmax_3_float) {
- execute(argmax_3_float::CreateModel,
- argmax_3_float::is_ignored,
- argmax_3_float::examples);
-}
-
diff --git a/nn/runtime/test/generated/tests/argmin_1.mod.py.cpp b/nn/runtime/test/generated/tests/argmin_1.mod.py.cpp
new file mode 100644
index 0000000..ae3d9d1
--- /dev/null
+++ b/nn/runtime/test/generated/tests/argmin_1.mod.py.cpp
@@ -0,0 +1,41 @@
+// clang-format off
+// Generated file (from: argmin_1.mod.py). Do not edit
+#include "../../TestGenerated.h"
+
+namespace argmin_1 {
+// Generated argmin_1 test
+#include "generated/examples/argmin_1.example.cpp"
+// Generated model constructor
+#include "generated/models/argmin_1.model.cpp"
+} // namespace argmin_1
+
+TEST_F(GeneratedTests, argmin_1) {
+ execute(argmin_1::CreateModel,
+ argmin_1::is_ignored,
+ argmin_1::get_examples());
+}
+
+TEST_F(GeneratedTests, argmin_1_relaxed) {
+ execute(argmin_1::CreateModel_relaxed,
+ argmin_1::is_ignored_relaxed,
+ argmin_1::get_examples_relaxed());
+}
+
+TEST_F(GeneratedTests, argmin_1_float16) {
+ execute(argmin_1::CreateModel_float16,
+ argmin_1::is_ignored_float16,
+ argmin_1::get_examples_float16());
+}
+
+TEST_F(GeneratedTests, argmin_1_int32) {
+ execute(argmin_1::CreateModel_int32,
+ argmin_1::is_ignored_int32,
+ argmin_1::get_examples_int32());
+}
+
+TEST_F(GeneratedTests, argmin_1_quant8) {
+ execute(argmin_1::CreateModel_quant8,
+ argmin_1::is_ignored_quant8,
+ argmin_1::get_examples_quant8());
+}
+
diff --git a/nn/runtime/test/generated/tests/argmin_1_float.mod.py.cpp b/nn/runtime/test/generated/tests/argmin_1_float.mod.py.cpp
deleted file mode 100644
index e4bd9db..0000000
--- a/nn/runtime/test/generated/tests/argmin_1_float.mod.py.cpp
+++ /dev/null
@@ -1,17 +0,0 @@
-// clang-format off
-// Generated file (from: argmin_1_float.mod.py). Do not edit
-#include "../../TestGenerated.h"
-
-namespace argmin_1_float {
-// Generated argmin_1_float test
-#include "generated/examples/argmin_1_float.example.cpp"
-// Generated model constructor
-#include "generated/models/argmin_1_float.model.cpp"
-} // namespace argmin_1_float
-
-TEST_F(GeneratedTests, argmin_1_float) {
- execute(argmin_1_float::CreateModel,
- argmin_1_float::is_ignored,
- argmin_1_float::examples);
-}
-
diff --git a/nn/runtime/test/generated/tests/argmin_1_float_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/argmin_1_float_relaxed.mod.py.cpp
deleted file mode 100644
index 6aa5c60..0000000
--- a/nn/runtime/test/generated/tests/argmin_1_float_relaxed.mod.py.cpp
+++ /dev/null
@@ -1,17 +0,0 @@
-// clang-format off
-// Generated file (from: argmin_1_float_relaxed.mod.py). Do not edit
-#include "../../TestGenerated.h"
-
-namespace argmin_1_float_relaxed {
-// Generated argmin_1_float_relaxed test
-#include "generated/examples/argmin_1_float_relaxed.example.cpp"
-// Generated model constructor
-#include "generated/models/argmin_1_float_relaxed.model.cpp"
-} // namespace argmin_1_float_relaxed
-
-TEST_F(GeneratedTests, argmin_1_float_relaxed) {
- execute(argmin_1_float_relaxed::CreateModel,
- argmin_1_float_relaxed::is_ignored,
- argmin_1_float_relaxed::examples);
-}
-
diff --git a/nn/runtime/test/generated/tests/argmin_1_int32.mod.py.cpp b/nn/runtime/test/generated/tests/argmin_1_int32.mod.py.cpp
deleted file mode 100644
index f97809e..0000000
--- a/nn/runtime/test/generated/tests/argmin_1_int32.mod.py.cpp
+++ /dev/null
@@ -1,17 +0,0 @@
-// clang-format off
-// Generated file (from: argmin_1_int32.mod.py). Do not edit
-#include "../../TestGenerated.h"
-
-namespace argmin_1_int32 {
-// Generated argmin_1_int32 test
-#include "generated/examples/argmin_1_int32.example.cpp"
-// Generated model constructor
-#include "generated/models/argmin_1_int32.model.cpp"
-} // namespace argmin_1_int32
-
-TEST_F(GeneratedTests, argmin_1_int32) {
- execute(argmin_1_int32::CreateModel,
- argmin_1_int32::is_ignored,
- argmin_1_int32::examples);
-}
-
diff --git a/nn/runtime/test/generated/tests/argmin_1_quant8.mod.py.cpp b/nn/runtime/test/generated/tests/argmin_1_quant8.mod.py.cpp
deleted file mode 100644
index 85d9a3f..0000000
--- a/nn/runtime/test/generated/tests/argmin_1_quant8.mod.py.cpp
+++ /dev/null
@@ -1,17 +0,0 @@
-// clang-format off
-// Generated file (from: argmin_1_quant8.mod.py). Do not edit
-#include "../../TestGenerated.h"
-
-namespace argmin_1_quant8 {
-// Generated argmin_1_quant8 test
-#include "generated/examples/argmin_1_quant8.example.cpp"
-// Generated model constructor
-#include "generated/models/argmin_1_quant8.model.cpp"
-} // namespace argmin_1_quant8
-
-TEST_F(GeneratedTests, argmin_1_quant8) {
- execute(argmin_1_quant8::CreateModel,
- argmin_1_quant8::is_ignored,
- argmin_1_quant8::examples);
-}
-
diff --git a/nn/runtime/test/generated/tests/argmin_2.mod.py.cpp b/nn/runtime/test/generated/tests/argmin_2.mod.py.cpp
new file mode 100644
index 0000000..5c65fcf
--- /dev/null
+++ b/nn/runtime/test/generated/tests/argmin_2.mod.py.cpp
@@ -0,0 +1,41 @@
+// clang-format off
+// Generated file (from: argmin_2.mod.py). Do not edit
+#include "../../TestGenerated.h"
+
+namespace argmin_2 {
+// Generated argmin_2 test
+#include "generated/examples/argmin_2.example.cpp"
+// Generated model constructor
+#include "generated/models/argmin_2.model.cpp"
+} // namespace argmin_2
+
+TEST_F(GeneratedTests, argmin_2) {
+ execute(argmin_2::CreateModel,
+ argmin_2::is_ignored,
+ argmin_2::get_examples());
+}
+
+TEST_F(GeneratedTests, argmin_2_relaxed) {
+ execute(argmin_2::CreateModel_relaxed,
+ argmin_2::is_ignored_relaxed,
+ argmin_2::get_examples_relaxed());
+}
+
+TEST_F(GeneratedTests, argmin_2_float16) {
+ execute(argmin_2::CreateModel_float16,
+ argmin_2::is_ignored_float16,
+ argmin_2::get_examples_float16());
+}
+
+TEST_F(GeneratedTests, argmin_2_int32) {
+ execute(argmin_2::CreateModel_int32,
+ argmin_2::is_ignored_int32,
+ argmin_2::get_examples_int32());
+}
+
+TEST_F(GeneratedTests, argmin_2_quant8) {
+ execute(argmin_2::CreateModel_quant8,
+ argmin_2::is_ignored_quant8,
+ argmin_2::get_examples_quant8());
+}
+
diff --git a/nn/runtime/test/generated/tests/argmin_2_float.mod.py.cpp b/nn/runtime/test/generated/tests/argmin_2_float.mod.py.cpp
deleted file mode 100644
index 32cc76f..0000000
--- a/nn/runtime/test/generated/tests/argmin_2_float.mod.py.cpp
+++ /dev/null
@@ -1,17 +0,0 @@
-// clang-format off
-// Generated file (from: argmin_2_float.mod.py). Do not edit
-#include "../../TestGenerated.h"
-
-namespace argmin_2_float {
-// Generated argmin_2_float test
-#include "generated/examples/argmin_2_float.example.cpp"
-// Generated model constructor
-#include "generated/models/argmin_2_float.model.cpp"
-} // namespace argmin_2_float
-
-TEST_F(GeneratedTests, argmin_2_float) {
- execute(argmin_2_float::CreateModel,
- argmin_2_float::is_ignored,
- argmin_2_float::examples);
-}
-
diff --git a/nn/runtime/test/generated/tests/argmin_2_float_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/argmin_2_float_relaxed.mod.py.cpp
deleted file mode 100644
index c7c6be6..0000000
--- a/nn/runtime/test/generated/tests/argmin_2_float_relaxed.mod.py.cpp
+++ /dev/null
@@ -1,17 +0,0 @@
-// clang-format off
-// Generated file (from: argmin_2_float_relaxed.mod.py). Do not edit
-#include "../../TestGenerated.h"
-
-namespace argmin_2_float_relaxed {
-// Generated argmin_2_float_relaxed test
-#include "generated/examples/argmin_2_float_relaxed.example.cpp"
-// Generated model constructor
-#include "generated/models/argmin_2_float_relaxed.model.cpp"
-} // namespace argmin_2_float_relaxed
-
-TEST_F(GeneratedTests, argmin_2_float_relaxed) {
- execute(argmin_2_float_relaxed::CreateModel,
- argmin_2_float_relaxed::is_ignored,
- argmin_2_float_relaxed::examples);
-}
-
diff --git a/nn/runtime/test/generated/tests/argmin_2_int32.mod.py.cpp b/nn/runtime/test/generated/tests/argmin_2_int32.mod.py.cpp
deleted file mode 100644
index 8974781..0000000
--- a/nn/runtime/test/generated/tests/argmin_2_int32.mod.py.cpp
+++ /dev/null
@@ -1,17 +0,0 @@
-// clang-format off
-// Generated file (from: argmin_2_int32.mod.py). Do not edit
-#include "../../TestGenerated.h"
-
-namespace argmin_2_int32 {
-// Generated argmin_2_int32 test
-#include "generated/examples/argmin_2_int32.example.cpp"
-// Generated model constructor
-#include "generated/models/argmin_2_int32.model.cpp"
-} // namespace argmin_2_int32
-
-TEST_F(GeneratedTests, argmin_2_int32) {
- execute(argmin_2_int32::CreateModel,
- argmin_2_int32::is_ignored,
- argmin_2_int32::examples);
-}
-
diff --git a/nn/runtime/test/generated/tests/argmin_2_quant8.mod.py.cpp b/nn/runtime/test/generated/tests/argmin_2_quant8.mod.py.cpp
deleted file mode 100644
index 68c5926..0000000
--- a/nn/runtime/test/generated/tests/argmin_2_quant8.mod.py.cpp
+++ /dev/null
@@ -1,17 +0,0 @@
-// clang-format off
-// Generated file (from: argmin_2_quant8.mod.py). Do not edit
-#include "../../TestGenerated.h"
-
-namespace argmin_2_quant8 {
-// Generated argmin_2_quant8 test
-#include "generated/examples/argmin_2_quant8.example.cpp"
-// Generated model constructor
-#include "generated/models/argmin_2_quant8.model.cpp"
-} // namespace argmin_2_quant8
-
-TEST_F(GeneratedTests, argmin_2_quant8) {
- execute(argmin_2_quant8::CreateModel,
- argmin_2_quant8::is_ignored,
- argmin_2_quant8::examples);
-}
-
diff --git a/nn/runtime/test/generated/tests/argmin_3.mod.py.cpp b/nn/runtime/test/generated/tests/argmin_3.mod.py.cpp
new file mode 100644
index 0000000..df0aa0b
--- /dev/null
+++ b/nn/runtime/test/generated/tests/argmin_3.mod.py.cpp
@@ -0,0 +1,41 @@
+// clang-format off
+// Generated file (from: argmin_3.mod.py). Do not edit
+#include "../../TestGenerated.h"
+
+namespace argmin_3 {
+// Generated argmin_3 test
+#include "generated/examples/argmin_3.example.cpp"
+// Generated model constructor
+#include "generated/models/argmin_3.model.cpp"
+} // namespace argmin_3
+
+TEST_F(GeneratedTests, argmin_3) {
+ execute(argmin_3::CreateModel,
+ argmin_3::is_ignored,
+ argmin_3::get_examples());
+}
+
+TEST_F(GeneratedTests, argmin_3_relaxed) {
+ execute(argmin_3::CreateModel_relaxed,
+ argmin_3::is_ignored_relaxed,
+ argmin_3::get_examples_relaxed());
+}
+
+TEST_F(GeneratedTests, argmin_3_float16) {
+ execute(argmin_3::CreateModel_float16,
+ argmin_3::is_ignored_float16,
+ argmin_3::get_examples_float16());
+}
+
+TEST_F(GeneratedTests, argmin_3_int32) {
+ execute(argmin_3::CreateModel_int32,
+ argmin_3::is_ignored_int32,
+ argmin_3::get_examples_int32());
+}
+
+TEST_F(GeneratedTests, argmin_3_quant8) {
+ execute(argmin_3::CreateModel_quant8,
+ argmin_3::is_ignored_quant8,
+ argmin_3::get_examples_quant8());
+}
+
diff --git a/nn/runtime/test/generated/tests/argmin_3_float.mod.py.cpp b/nn/runtime/test/generated/tests/argmin_3_float.mod.py.cpp
deleted file mode 100644
index f2de424..0000000
--- a/nn/runtime/test/generated/tests/argmin_3_float.mod.py.cpp
+++ /dev/null
@@ -1,17 +0,0 @@
-// clang-format off
-// Generated file (from: argmin_3_float.mod.py). Do not edit
-#include "../../TestGenerated.h"
-
-namespace argmin_3_float {
-// Generated argmin_3_float test
-#include "generated/examples/argmin_3_float.example.cpp"
-// Generated model constructor
-#include "generated/models/argmin_3_float.model.cpp"
-} // namespace argmin_3_float
-
-TEST_F(GeneratedTests, argmin_3_float) {
- execute(argmin_3_float::CreateModel,
- argmin_3_float::is_ignored,
- argmin_3_float::examples);
-}
-
diff --git a/nn/runtime/test/generated/tests/avg_pool_float_1.mod.py.cpp b/nn/runtime/test/generated/tests/avg_pool_float_1.mod.py.cpp
index 6e64c72..647d2c9 100644
--- a/nn/runtime/test/generated/tests/avg_pool_float_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/avg_pool_float_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, avg_pool_float_1) {
execute(avg_pool_float_1::CreateModel,
avg_pool_float_1::is_ignored,
- avg_pool_float_1::examples);
+ avg_pool_float_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/avg_pool_float_1_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/avg_pool_float_1_relaxed.mod.py.cpp
index 5ad3796..4bb0388 100644
--- a/nn/runtime/test/generated/tests/avg_pool_float_1_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/avg_pool_float_1_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, avg_pool_float_1_relaxed) {
execute(avg_pool_float_1_relaxed::CreateModel,
avg_pool_float_1_relaxed::is_ignored,
- avg_pool_float_1_relaxed::examples);
+ avg_pool_float_1_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/avg_pool_float_2.mod.py.cpp b/nn/runtime/test/generated/tests/avg_pool_float_2.mod.py.cpp
index 5348253..680a357 100644
--- a/nn/runtime/test/generated/tests/avg_pool_float_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/avg_pool_float_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, avg_pool_float_2) {
execute(avg_pool_float_2::CreateModel,
avg_pool_float_2::is_ignored,
- avg_pool_float_2::examples);
+ avg_pool_float_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/avg_pool_float_2_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/avg_pool_float_2_relaxed.mod.py.cpp
index 50f47fa..6f251ad 100644
--- a/nn/runtime/test/generated/tests/avg_pool_float_2_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/avg_pool_float_2_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, avg_pool_float_2_relaxed) {
execute(avg_pool_float_2_relaxed::CreateModel,
avg_pool_float_2_relaxed::is_ignored,
- avg_pool_float_2_relaxed::examples);
+ avg_pool_float_2_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/avg_pool_float_3.mod.py.cpp b/nn/runtime/test/generated/tests/avg_pool_float_3.mod.py.cpp
index a98744a..976311a 100644
--- a/nn/runtime/test/generated/tests/avg_pool_float_3.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/avg_pool_float_3.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, avg_pool_float_3) {
execute(avg_pool_float_3::CreateModel,
avg_pool_float_3::is_ignored,
- avg_pool_float_3::examples);
+ avg_pool_float_3::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/avg_pool_float_3_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/avg_pool_float_3_relaxed.mod.py.cpp
index 37882a2..acb0086 100644
--- a/nn/runtime/test/generated/tests/avg_pool_float_3_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/avg_pool_float_3_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, avg_pool_float_3_relaxed) {
execute(avg_pool_float_3_relaxed::CreateModel,
avg_pool_float_3_relaxed::is_ignored,
- avg_pool_float_3_relaxed::examples);
+ avg_pool_float_3_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/avg_pool_float_4.mod.py.cpp b/nn/runtime/test/generated/tests/avg_pool_float_4.mod.py.cpp
index c412b1d..36f2ff0 100644
--- a/nn/runtime/test/generated/tests/avg_pool_float_4.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/avg_pool_float_4.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, avg_pool_float_4) {
execute(avg_pool_float_4::CreateModel,
avg_pool_float_4::is_ignored,
- avg_pool_float_4::examples);
+ avg_pool_float_4::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/avg_pool_float_4_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/avg_pool_float_4_relaxed.mod.py.cpp
index 69b6633..2fe27d2 100644
--- a/nn/runtime/test/generated/tests/avg_pool_float_4_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/avg_pool_float_4_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, avg_pool_float_4_relaxed) {
execute(avg_pool_float_4_relaxed::CreateModel,
avg_pool_float_4_relaxed::is_ignored,
- avg_pool_float_4_relaxed::examples);
+ avg_pool_float_4_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/avg_pool_float_5.mod.py.cpp b/nn/runtime/test/generated/tests/avg_pool_float_5.mod.py.cpp
index 7f0e6e5..87ae087 100644
--- a/nn/runtime/test/generated/tests/avg_pool_float_5.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/avg_pool_float_5.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, avg_pool_float_5) {
execute(avg_pool_float_5::CreateModel,
avg_pool_float_5::is_ignored,
- avg_pool_float_5::examples);
+ avg_pool_float_5::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/avg_pool_float_5_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/avg_pool_float_5_relaxed.mod.py.cpp
index 83e174a..83bb9b0 100644
--- a/nn/runtime/test/generated/tests/avg_pool_float_5_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/avg_pool_float_5_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, avg_pool_float_5_relaxed) {
execute(avg_pool_float_5_relaxed::CreateModel,
avg_pool_float_5_relaxed::is_ignored,
- avg_pool_float_5_relaxed::examples);
+ avg_pool_float_5_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/avg_pool_quant8_1.mod.py.cpp b/nn/runtime/test/generated/tests/avg_pool_quant8_1.mod.py.cpp
index 4b70f99..ec5425f 100644
--- a/nn/runtime/test/generated/tests/avg_pool_quant8_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/avg_pool_quant8_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, avg_pool_quant8_1) {
execute(avg_pool_quant8_1::CreateModel,
avg_pool_quant8_1::is_ignored,
- avg_pool_quant8_1::examples);
+ avg_pool_quant8_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/avg_pool_quant8_2.mod.py.cpp b/nn/runtime/test/generated/tests/avg_pool_quant8_2.mod.py.cpp
index 0867860..c867e53 100644
--- a/nn/runtime/test/generated/tests/avg_pool_quant8_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/avg_pool_quant8_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, avg_pool_quant8_2) {
execute(avg_pool_quant8_2::CreateModel,
avg_pool_quant8_2::is_ignored,
- avg_pool_quant8_2::examples);
+ avg_pool_quant8_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/avg_pool_quant8_3.mod.py.cpp b/nn/runtime/test/generated/tests/avg_pool_quant8_3.mod.py.cpp
index f15b0c0..c284ad0 100644
--- a/nn/runtime/test/generated/tests/avg_pool_quant8_3.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/avg_pool_quant8_3.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, avg_pool_quant8_3) {
execute(avg_pool_quant8_3::CreateModel,
avg_pool_quant8_3::is_ignored,
- avg_pool_quant8_3::examples);
+ avg_pool_quant8_3::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/avg_pool_quant8_4.mod.py.cpp b/nn/runtime/test/generated/tests/avg_pool_quant8_4.mod.py.cpp
index 69e8d38..1abc637 100644
--- a/nn/runtime/test/generated/tests/avg_pool_quant8_4.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/avg_pool_quant8_4.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, avg_pool_quant8_4) {
execute(avg_pool_quant8_4::CreateModel,
avg_pool_quant8_4::is_ignored,
- avg_pool_quant8_4::examples);
+ avg_pool_quant8_4::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/avg_pool_quant8_5.mod.py.cpp b/nn/runtime/test/generated/tests/avg_pool_quant8_5.mod.py.cpp
index 71d0a30..f2248ba 100644
--- a/nn/runtime/test/generated/tests/avg_pool_quant8_5.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/avg_pool_quant8_5.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, avg_pool_quant8_5) {
execute(avg_pool_quant8_5::CreateModel,
avg_pool_quant8_5::is_ignored,
- avg_pool_quant8_5::examples);
+ avg_pool_quant8_5::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/avg_pool_v1_2.mod.py.cpp b/nn/runtime/test/generated/tests/avg_pool_v1_2.mod.py.cpp
index 9854b14..d9f210d 100644
--- a/nn/runtime/test/generated/tests/avg_pool_v1_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/avg_pool_v1_2.mod.py.cpp
@@ -12,180 +12,180 @@
TEST_F(GeneratedTests, avg_pool_v1_2_nhwc) {
execute(avg_pool_v1_2::CreateModel_nhwc,
avg_pool_v1_2::is_ignored_nhwc,
- avg_pool_v1_2::examples_nhwc);
+ avg_pool_v1_2::get_examples_nhwc());
}
TEST_F(GeneratedTests, avg_pool_v1_2_nhwc_relaxed) {
execute(avg_pool_v1_2::CreateModel_nhwc_relaxed,
avg_pool_v1_2::is_ignored_nhwc_relaxed,
- avg_pool_v1_2::examples_nhwc_relaxed);
+ avg_pool_v1_2::get_examples_nhwc_relaxed());
}
TEST_F(GeneratedTests, avg_pool_v1_2_nhwc_quant8) {
execute(avg_pool_v1_2::CreateModel_nhwc_quant8,
avg_pool_v1_2::is_ignored_nhwc_quant8,
- avg_pool_v1_2::examples_nhwc_quant8);
+ avg_pool_v1_2::get_examples_nhwc_quant8());
}
TEST_F(GeneratedTests, avg_pool_v1_2_nchw) {
execute(avg_pool_v1_2::CreateModel_nchw,
avg_pool_v1_2::is_ignored_nchw,
- avg_pool_v1_2::examples_nchw);
+ avg_pool_v1_2::get_examples_nchw());
}
TEST_F(GeneratedTests, avg_pool_v1_2_nchw_relaxed) {
execute(avg_pool_v1_2::CreateModel_nchw_relaxed,
avg_pool_v1_2::is_ignored_nchw_relaxed,
- avg_pool_v1_2::examples_nchw_relaxed);
+ avg_pool_v1_2::get_examples_nchw_relaxed());
}
TEST_F(GeneratedTests, avg_pool_v1_2_nchw_quant8) {
execute(avg_pool_v1_2::CreateModel_nchw_quant8,
avg_pool_v1_2::is_ignored_nchw_quant8,
- avg_pool_v1_2::examples_nchw_quant8);
+ avg_pool_v1_2::get_examples_nchw_quant8());
}
TEST_F(GeneratedTests, avg_pool_v1_2_nhwc_2) {
execute(avg_pool_v1_2::CreateModel_nhwc_2,
avg_pool_v1_2::is_ignored_nhwc_2,
- avg_pool_v1_2::examples_nhwc_2);
+ avg_pool_v1_2::get_examples_nhwc_2());
}
TEST_F(GeneratedTests, avg_pool_v1_2_nhwc_relaxed_2) {
execute(avg_pool_v1_2::CreateModel_nhwc_relaxed_2,
avg_pool_v1_2::is_ignored_nhwc_relaxed_2,
- avg_pool_v1_2::examples_nhwc_relaxed_2);
+ avg_pool_v1_2::get_examples_nhwc_relaxed_2());
}
TEST_F(GeneratedTests, avg_pool_v1_2_nhwc_quant8_2) {
execute(avg_pool_v1_2::CreateModel_nhwc_quant8_2,
avg_pool_v1_2::is_ignored_nhwc_quant8_2,
- avg_pool_v1_2::examples_nhwc_quant8_2);
+ avg_pool_v1_2::get_examples_nhwc_quant8_2());
}
TEST_F(GeneratedTests, avg_pool_v1_2_nchw_2) {
execute(avg_pool_v1_2::CreateModel_nchw_2,
avg_pool_v1_2::is_ignored_nchw_2,
- avg_pool_v1_2::examples_nchw_2);
+ avg_pool_v1_2::get_examples_nchw_2());
}
TEST_F(GeneratedTests, avg_pool_v1_2_nchw_relaxed_2) {
execute(avg_pool_v1_2::CreateModel_nchw_relaxed_2,
avg_pool_v1_2::is_ignored_nchw_relaxed_2,
- avg_pool_v1_2::examples_nchw_relaxed_2);
+ avg_pool_v1_2::get_examples_nchw_relaxed_2());
}
TEST_F(GeneratedTests, avg_pool_v1_2_nchw_quant8_2) {
execute(avg_pool_v1_2::CreateModel_nchw_quant8_2,
avg_pool_v1_2::is_ignored_nchw_quant8_2,
- avg_pool_v1_2::examples_nchw_quant8_2);
+ avg_pool_v1_2::get_examples_nchw_quant8_2());
}
TEST_F(GeneratedTests, avg_pool_v1_2_nhwc_3) {
execute(avg_pool_v1_2::CreateModel_nhwc_3,
avg_pool_v1_2::is_ignored_nhwc_3,
- avg_pool_v1_2::examples_nhwc_3);
+ avg_pool_v1_2::get_examples_nhwc_3());
}
TEST_F(GeneratedTests, avg_pool_v1_2_nhwc_relaxed_3) {
execute(avg_pool_v1_2::CreateModel_nhwc_relaxed_3,
avg_pool_v1_2::is_ignored_nhwc_relaxed_3,
- avg_pool_v1_2::examples_nhwc_relaxed_3);
+ avg_pool_v1_2::get_examples_nhwc_relaxed_3());
}
TEST_F(GeneratedTests, avg_pool_v1_2_nhwc_quant8_3) {
execute(avg_pool_v1_2::CreateModel_nhwc_quant8_3,
avg_pool_v1_2::is_ignored_nhwc_quant8_3,
- avg_pool_v1_2::examples_nhwc_quant8_3);
+ avg_pool_v1_2::get_examples_nhwc_quant8_3());
}
TEST_F(GeneratedTests, avg_pool_v1_2_nchw_3) {
execute(avg_pool_v1_2::CreateModel_nchw_3,
avg_pool_v1_2::is_ignored_nchw_3,
- avg_pool_v1_2::examples_nchw_3);
+ avg_pool_v1_2::get_examples_nchw_3());
}
TEST_F(GeneratedTests, avg_pool_v1_2_nchw_relaxed_3) {
execute(avg_pool_v1_2::CreateModel_nchw_relaxed_3,
avg_pool_v1_2::is_ignored_nchw_relaxed_3,
- avg_pool_v1_2::examples_nchw_relaxed_3);
+ avg_pool_v1_2::get_examples_nchw_relaxed_3());
}
TEST_F(GeneratedTests, avg_pool_v1_2_nchw_quant8_3) {
execute(avg_pool_v1_2::CreateModel_nchw_quant8_3,
avg_pool_v1_2::is_ignored_nchw_quant8_3,
- avg_pool_v1_2::examples_nchw_quant8_3);
+ avg_pool_v1_2::get_examples_nchw_quant8_3());
}
TEST_F(GeneratedTests, avg_pool_v1_2_nhwc_4) {
execute(avg_pool_v1_2::CreateModel_nhwc_4,
avg_pool_v1_2::is_ignored_nhwc_4,
- avg_pool_v1_2::examples_nhwc_4);
+ avg_pool_v1_2::get_examples_nhwc_4());
}
TEST_F(GeneratedTests, avg_pool_v1_2_nhwc_relaxed_4) {
execute(avg_pool_v1_2::CreateModel_nhwc_relaxed_4,
avg_pool_v1_2::is_ignored_nhwc_relaxed_4,
- avg_pool_v1_2::examples_nhwc_relaxed_4);
+ avg_pool_v1_2::get_examples_nhwc_relaxed_4());
}
TEST_F(GeneratedTests, avg_pool_v1_2_nhwc_quant8_4) {
execute(avg_pool_v1_2::CreateModel_nhwc_quant8_4,
avg_pool_v1_2::is_ignored_nhwc_quant8_4,
- avg_pool_v1_2::examples_nhwc_quant8_4);
+ avg_pool_v1_2::get_examples_nhwc_quant8_4());
}
TEST_F(GeneratedTests, avg_pool_v1_2_nchw_4) {
execute(avg_pool_v1_2::CreateModel_nchw_4,
avg_pool_v1_2::is_ignored_nchw_4,
- avg_pool_v1_2::examples_nchw_4);
+ avg_pool_v1_2::get_examples_nchw_4());
}
TEST_F(GeneratedTests, avg_pool_v1_2_nchw_relaxed_4) {
execute(avg_pool_v1_2::CreateModel_nchw_relaxed_4,
avg_pool_v1_2::is_ignored_nchw_relaxed_4,
- avg_pool_v1_2::examples_nchw_relaxed_4);
+ avg_pool_v1_2::get_examples_nchw_relaxed_4());
}
TEST_F(GeneratedTests, avg_pool_v1_2_nchw_quant8_4) {
execute(avg_pool_v1_2::CreateModel_nchw_quant8_4,
avg_pool_v1_2::is_ignored_nchw_quant8_4,
- avg_pool_v1_2::examples_nchw_quant8_4);
+ avg_pool_v1_2::get_examples_nchw_quant8_4());
}
TEST_F(GeneratedTests, avg_pool_v1_2_nhwc_5) {
execute(avg_pool_v1_2::CreateModel_nhwc_5,
avg_pool_v1_2::is_ignored_nhwc_5,
- avg_pool_v1_2::examples_nhwc_5);
+ avg_pool_v1_2::get_examples_nhwc_5());
}
TEST_F(GeneratedTests, avg_pool_v1_2_nhwc_relaxed_5) {
execute(avg_pool_v1_2::CreateModel_nhwc_relaxed_5,
avg_pool_v1_2::is_ignored_nhwc_relaxed_5,
- avg_pool_v1_2::examples_nhwc_relaxed_5);
+ avg_pool_v1_2::get_examples_nhwc_relaxed_5());
}
TEST_F(GeneratedTests, avg_pool_v1_2_nhwc_quant8_5) {
execute(avg_pool_v1_2::CreateModel_nhwc_quant8_5,
avg_pool_v1_2::is_ignored_nhwc_quant8_5,
- avg_pool_v1_2::examples_nhwc_quant8_5);
+ avg_pool_v1_2::get_examples_nhwc_quant8_5());
}
TEST_F(GeneratedTests, avg_pool_v1_2_nchw_5) {
execute(avg_pool_v1_2::CreateModel_nchw_5,
avg_pool_v1_2::is_ignored_nchw_5,
- avg_pool_v1_2::examples_nchw_5);
+ avg_pool_v1_2::get_examples_nchw_5());
}
TEST_F(GeneratedTests, avg_pool_v1_2_nchw_relaxed_5) {
execute(avg_pool_v1_2::CreateModel_nchw_relaxed_5,
avg_pool_v1_2::is_ignored_nchw_relaxed_5,
- avg_pool_v1_2::examples_nchw_relaxed_5);
+ avg_pool_v1_2::get_examples_nchw_relaxed_5());
}
TEST_F(GeneratedTests, avg_pool_v1_2_nchw_quant8_5) {
execute(avg_pool_v1_2::CreateModel_nchw_quant8_5,
avg_pool_v1_2::is_ignored_nchw_quant8_5,
- avg_pool_v1_2::examples_nchw_quant8_5);
+ avg_pool_v1_2::get_examples_nchw_quant8_5());
}
diff --git a/nn/runtime/test/generated/tests/axis_aligned_bbox_transform.mod.py.cpp b/nn/runtime/test/generated/tests/axis_aligned_bbox_transform.mod.py.cpp
index 3bc8207..42ab529 100644
--- a/nn/runtime/test/generated/tests/axis_aligned_bbox_transform.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/axis_aligned_bbox_transform.mod.py.cpp
@@ -12,36 +12,36 @@
TEST_F(GeneratedTests, axis_aligned_bbox_transform) {
execute(axis_aligned_bbox_transform::CreateModel,
axis_aligned_bbox_transform::is_ignored,
- axis_aligned_bbox_transform::examples);
+ axis_aligned_bbox_transform::get_examples());
}
TEST_F(GeneratedTests, axis_aligned_bbox_transform_relaxed) {
execute(axis_aligned_bbox_transform::CreateModel_relaxed,
axis_aligned_bbox_transform::is_ignored_relaxed,
- axis_aligned_bbox_transform::examples_relaxed);
+ axis_aligned_bbox_transform::get_examples_relaxed());
}
TEST_F(GeneratedTests, axis_aligned_bbox_transform_2) {
execute(axis_aligned_bbox_transform::CreateModel_2,
axis_aligned_bbox_transform::is_ignored_2,
- axis_aligned_bbox_transform::examples_2);
+ axis_aligned_bbox_transform::get_examples_2());
}
TEST_F(GeneratedTests, axis_aligned_bbox_transform_relaxed_2) {
execute(axis_aligned_bbox_transform::CreateModel_relaxed_2,
axis_aligned_bbox_transform::is_ignored_relaxed_2,
- axis_aligned_bbox_transform::examples_relaxed_2);
+ axis_aligned_bbox_transform::get_examples_relaxed_2());
}
TEST_F(GeneratedTests, axis_aligned_bbox_transform_single_batch) {
execute(axis_aligned_bbox_transform::CreateModel_single_batch,
axis_aligned_bbox_transform::is_ignored_single_batch,
- axis_aligned_bbox_transform::examples_single_batch);
+ axis_aligned_bbox_transform::get_examples_single_batch());
}
TEST_F(GeneratedTests, axis_aligned_bbox_transform_single_batch_relaxed) {
execute(axis_aligned_bbox_transform::CreateModel_single_batch_relaxed,
axis_aligned_bbox_transform::is_ignored_single_batch_relaxed,
- axis_aligned_bbox_transform::examples_single_batch_relaxed);
+ axis_aligned_bbox_transform::get_examples_single_batch_relaxed());
}
diff --git a/nn/runtime/test/generated/tests/batch_to_space.mod.py.cpp b/nn/runtime/test/generated/tests/batch_to_space.mod.py.cpp
index 465f1ff..3e84ac0 100644
--- a/nn/runtime/test/generated/tests/batch_to_space.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/batch_to_space.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, batch_to_space) {
execute(batch_to_space::CreateModel,
batch_to_space::is_ignored,
- batch_to_space::examples);
+ batch_to_space::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/batch_to_space_float_1.mod.py.cpp b/nn/runtime/test/generated/tests/batch_to_space_float_1.mod.py.cpp
index 3079675..b216ce9 100644
--- a/nn/runtime/test/generated/tests/batch_to_space_float_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/batch_to_space_float_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, batch_to_space_float_1) {
execute(batch_to_space_float_1::CreateModel,
batch_to_space_float_1::is_ignored,
- batch_to_space_float_1::examples);
+ batch_to_space_float_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/batch_to_space_float_1_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/batch_to_space_float_1_relaxed.mod.py.cpp
index ed91d30..dca843f 100644
--- a/nn/runtime/test/generated/tests/batch_to_space_float_1_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/batch_to_space_float_1_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, batch_to_space_float_1_relaxed) {
execute(batch_to_space_float_1_relaxed::CreateModel,
batch_to_space_float_1_relaxed::is_ignored,
- batch_to_space_float_1_relaxed::examples);
+ batch_to_space_float_1_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/batch_to_space_quant8_1.mod.py.cpp b/nn/runtime/test/generated/tests/batch_to_space_quant8_1.mod.py.cpp
index 8d59fa7..17c709c 100644
--- a/nn/runtime/test/generated/tests/batch_to_space_quant8_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/batch_to_space_quant8_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, batch_to_space_quant8_1) {
execute(batch_to_space_quant8_1::CreateModel,
batch_to_space_quant8_1::is_ignored,
- batch_to_space_quant8_1::examples);
+ batch_to_space_quant8_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/batch_to_space_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/batch_to_space_relaxed.mod.py.cpp
index 21e94d9..bd822f4 100644
--- a/nn/runtime/test/generated/tests/batch_to_space_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/batch_to_space_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, batch_to_space_relaxed) {
execute(batch_to_space_relaxed::CreateModel,
batch_to_space_relaxed::is_ignored,
- batch_to_space_relaxed::examples);
+ batch_to_space_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/batch_to_space_v1_2.mod.py.cpp b/nn/runtime/test/generated/tests/batch_to_space_v1_2.mod.py.cpp
index 38a7ec8..1a26226 100644
--- a/nn/runtime/test/generated/tests/batch_to_space_v1_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/batch_to_space_v1_2.mod.py.cpp
@@ -12,72 +12,96 @@
TEST_F(GeneratedTests, batch_to_space_v1_2_nhwc) {
execute(batch_to_space_v1_2::CreateModel_nhwc,
batch_to_space_v1_2::is_ignored_nhwc,
- batch_to_space_v1_2::examples_nhwc);
+ batch_to_space_v1_2::get_examples_nhwc());
}
TEST_F(GeneratedTests, batch_to_space_v1_2_nhwc_relaxed) {
execute(batch_to_space_v1_2::CreateModel_nhwc_relaxed,
batch_to_space_v1_2::is_ignored_nhwc_relaxed,
- batch_to_space_v1_2::examples_nhwc_relaxed);
+ batch_to_space_v1_2::get_examples_nhwc_relaxed());
+}
+
+TEST_F(GeneratedTests, batch_to_space_v1_2_nhwc_float16) {
+ execute(batch_to_space_v1_2::CreateModel_nhwc_float16,
+ batch_to_space_v1_2::is_ignored_nhwc_float16,
+ batch_to_space_v1_2::get_examples_nhwc_float16());
}
TEST_F(GeneratedTests, batch_to_space_v1_2_nhwc_quant8) {
execute(batch_to_space_v1_2::CreateModel_nhwc_quant8,
batch_to_space_v1_2::is_ignored_nhwc_quant8,
- batch_to_space_v1_2::examples_nhwc_quant8);
+ batch_to_space_v1_2::get_examples_nhwc_quant8());
}
TEST_F(GeneratedTests, batch_to_space_v1_2_nchw) {
execute(batch_to_space_v1_2::CreateModel_nchw,
batch_to_space_v1_2::is_ignored_nchw,
- batch_to_space_v1_2::examples_nchw);
+ batch_to_space_v1_2::get_examples_nchw());
}
TEST_F(GeneratedTests, batch_to_space_v1_2_nchw_relaxed) {
execute(batch_to_space_v1_2::CreateModel_nchw_relaxed,
batch_to_space_v1_2::is_ignored_nchw_relaxed,
- batch_to_space_v1_2::examples_nchw_relaxed);
+ batch_to_space_v1_2::get_examples_nchw_relaxed());
+}
+
+TEST_F(GeneratedTests, batch_to_space_v1_2_nchw_float16) {
+ execute(batch_to_space_v1_2::CreateModel_nchw_float16,
+ batch_to_space_v1_2::is_ignored_nchw_float16,
+ batch_to_space_v1_2::get_examples_nchw_float16());
}
TEST_F(GeneratedTests, batch_to_space_v1_2_nchw_quant8) {
execute(batch_to_space_v1_2::CreateModel_nchw_quant8,
batch_to_space_v1_2::is_ignored_nchw_quant8,
- batch_to_space_v1_2::examples_nchw_quant8);
+ batch_to_space_v1_2::get_examples_nchw_quant8());
}
TEST_F(GeneratedTests, batch_to_space_v1_2_nhwc_2) {
execute(batch_to_space_v1_2::CreateModel_nhwc_2,
batch_to_space_v1_2::is_ignored_nhwc_2,
- batch_to_space_v1_2::examples_nhwc_2);
+ batch_to_space_v1_2::get_examples_nhwc_2());
}
TEST_F(GeneratedTests, batch_to_space_v1_2_nhwc_relaxed_2) {
execute(batch_to_space_v1_2::CreateModel_nhwc_relaxed_2,
batch_to_space_v1_2::is_ignored_nhwc_relaxed_2,
- batch_to_space_v1_2::examples_nhwc_relaxed_2);
+ batch_to_space_v1_2::get_examples_nhwc_relaxed_2());
+}
+
+TEST_F(GeneratedTests, batch_to_space_v1_2_nhwc_float16_2) {
+ execute(batch_to_space_v1_2::CreateModel_nhwc_float16_2,
+ batch_to_space_v1_2::is_ignored_nhwc_float16_2,
+ batch_to_space_v1_2::get_examples_nhwc_float16_2());
}
TEST_F(GeneratedTests, batch_to_space_v1_2_nhwc_quant8_2) {
execute(batch_to_space_v1_2::CreateModel_nhwc_quant8_2,
batch_to_space_v1_2::is_ignored_nhwc_quant8_2,
- batch_to_space_v1_2::examples_nhwc_quant8_2);
+ batch_to_space_v1_2::get_examples_nhwc_quant8_2());
}
TEST_F(GeneratedTests, batch_to_space_v1_2_nchw_2) {
execute(batch_to_space_v1_2::CreateModel_nchw_2,
batch_to_space_v1_2::is_ignored_nchw_2,
- batch_to_space_v1_2::examples_nchw_2);
+ batch_to_space_v1_2::get_examples_nchw_2());
}
TEST_F(GeneratedTests, batch_to_space_v1_2_nchw_relaxed_2) {
execute(batch_to_space_v1_2::CreateModel_nchw_relaxed_2,
batch_to_space_v1_2::is_ignored_nchw_relaxed_2,
- batch_to_space_v1_2::examples_nchw_relaxed_2);
+ batch_to_space_v1_2::get_examples_nchw_relaxed_2());
+}
+
+TEST_F(GeneratedTests, batch_to_space_v1_2_nchw_float16_2) {
+ execute(batch_to_space_v1_2::CreateModel_nchw_float16_2,
+ batch_to_space_v1_2::is_ignored_nchw_float16_2,
+ batch_to_space_v1_2::get_examples_nchw_float16_2());
}
TEST_F(GeneratedTests, batch_to_space_v1_2_nchw_quant8_2) {
execute(batch_to_space_v1_2::CreateModel_nchw_quant8_2,
batch_to_space_v1_2::is_ignored_nchw_quant8_2,
- batch_to_space_v1_2::examples_nchw_quant8_2);
+ batch_to_space_v1_2::get_examples_nchw_quant8_2());
}
diff --git a/nn/runtime/test/generated/tests/cast.mod.py.cpp b/nn/runtime/test/generated/tests/cast.mod.py.cpp
index f78ec2b..a0150cb 100644
--- a/nn/runtime/test/generated/tests/cast.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/cast.mod.py.cpp
@@ -12,138 +12,138 @@
TEST_F(GeneratedTests, cast_float16_to_float16) {
execute(cast::CreateModel,
cast::is_ignored,
- cast::examples_float16_to_float16);
+ cast::get_examples_float16_to_float16());
}
TEST_F(GeneratedTests, cast_float16_to_float32) {
execute(cast::CreateModel_2,
cast::is_ignored_2,
- cast::examples_float16_to_float32);
+ cast::get_examples_float16_to_float32());
}
TEST_F(GeneratedTests, cast_float16_to_float32_relaxed) {
execute(cast::CreateModel_relaxed,
cast::is_ignored_relaxed,
- cast::examples_float16_to_float32_relaxed);
+ cast::get_examples_float16_to_float32_relaxed());
}
TEST_F(GeneratedTests, cast_float16_to_int32) {
execute(cast::CreateModel_3,
cast::is_ignored_3,
- cast::examples_float16_to_int32);
+ cast::get_examples_float16_to_int32());
}
TEST_F(GeneratedTests, cast_float16_to_quant8) {
execute(cast::CreateModel_4,
cast::is_ignored_4,
- cast::examples_float16_to_quant8);
+ cast::get_examples_float16_to_quant8());
}
TEST_F(GeneratedTests, cast_float32_to_float16) {
execute(cast::CreateModel_5,
cast::is_ignored_5,
- cast::examples_float32_to_float16);
+ cast::get_examples_float32_to_float16());
}
TEST_F(GeneratedTests, cast_float32_to_float16_relaxed) {
execute(cast::CreateModel_relaxed_2,
cast::is_ignored_relaxed_2,
- cast::examples_float32_to_float16_relaxed);
+ cast::get_examples_float32_to_float16_relaxed());
}
TEST_F(GeneratedTests, cast_float32_to_float32) {
execute(cast::CreateModel_6,
cast::is_ignored_6,
- cast::examples_float32_to_float32);
+ cast::get_examples_float32_to_float32());
}
TEST_F(GeneratedTests, cast_float32_to_float32_relaxed) {
execute(cast::CreateModel_relaxed_3,
cast::is_ignored_relaxed_3,
- cast::examples_float32_to_float32_relaxed);
+ cast::get_examples_float32_to_float32_relaxed());
}
TEST_F(GeneratedTests, cast_float32_to_int32) {
execute(cast::CreateModel_7,
cast::is_ignored_7,
- cast::examples_float32_to_int32);
+ cast::get_examples_float32_to_int32());
}
TEST_F(GeneratedTests, cast_float32_to_int32_relaxed) {
execute(cast::CreateModel_relaxed_4,
cast::is_ignored_relaxed_4,
- cast::examples_float32_to_int32_relaxed);
+ cast::get_examples_float32_to_int32_relaxed());
}
TEST_F(GeneratedTests, cast_float32_to_quant8) {
execute(cast::CreateModel_8,
cast::is_ignored_8,
- cast::examples_float32_to_quant8);
+ cast::get_examples_float32_to_quant8());
}
TEST_F(GeneratedTests, cast_float32_to_quant8_relaxed) {
execute(cast::CreateModel_relaxed_5,
cast::is_ignored_relaxed_5,
- cast::examples_float32_to_quant8_relaxed);
+ cast::get_examples_float32_to_quant8_relaxed());
}
TEST_F(GeneratedTests, cast_int32_to_float16) {
execute(cast::CreateModel_9,
cast::is_ignored_9,
- cast::examples_int32_to_float16);
+ cast::get_examples_int32_to_float16());
}
TEST_F(GeneratedTests, cast_int32_to_float32) {
execute(cast::CreateModel_10,
cast::is_ignored_10,
- cast::examples_int32_to_float32);
+ cast::get_examples_int32_to_float32());
}
TEST_F(GeneratedTests, cast_int32_to_float32_relaxed) {
execute(cast::CreateModel_relaxed_6,
cast::is_ignored_relaxed_6,
- cast::examples_int32_to_float32_relaxed);
+ cast::get_examples_int32_to_float32_relaxed());
}
TEST_F(GeneratedTests, cast_int32_to_int32) {
execute(cast::CreateModel_11,
cast::is_ignored_11,
- cast::examples_int32_to_int32);
+ cast::get_examples_int32_to_int32());
}
TEST_F(GeneratedTests, cast_int32_to_quant8) {
execute(cast::CreateModel_12,
cast::is_ignored_12,
- cast::examples_int32_to_quant8);
+ cast::get_examples_int32_to_quant8());
}
TEST_F(GeneratedTests, cast_quant8_to_float16) {
execute(cast::CreateModel_13,
cast::is_ignored_13,
- cast::examples_quant8_to_float16);
+ cast::get_examples_quant8_to_float16());
}
TEST_F(GeneratedTests, cast_quant8_to_float32) {
execute(cast::CreateModel_14,
cast::is_ignored_14,
- cast::examples_quant8_to_float32);
+ cast::get_examples_quant8_to_float32());
}
TEST_F(GeneratedTests, cast_quant8_to_float32_relaxed) {
execute(cast::CreateModel_relaxed_7,
cast::is_ignored_relaxed_7,
- cast::examples_quant8_to_float32_relaxed);
+ cast::get_examples_quant8_to_float32_relaxed());
}
TEST_F(GeneratedTests, cast_quant8_to_int32) {
execute(cast::CreateModel_15,
cast::is_ignored_15,
- cast::examples_quant8_to_int32);
+ cast::get_examples_quant8_to_int32());
}
TEST_F(GeneratedTests, cast_quant8_to_quant8) {
execute(cast::CreateModel_16,
cast::is_ignored_16,
- cast::examples_quant8_to_quant8);
+ cast::get_examples_quant8_to_quant8());
}
diff --git a/nn/runtime/test/generated/tests/channel_shuffle.mod.py.cpp b/nn/runtime/test/generated/tests/channel_shuffle.mod.py.cpp
index 1ce00fc..68a281d 100644
--- a/nn/runtime/test/generated/tests/channel_shuffle.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/channel_shuffle.mod.py.cpp
@@ -12,360 +12,360 @@
TEST_F(GeneratedTests, channel_shuffle_dim4_axis0) {
execute(channel_shuffle::CreateModel_dim4_axis0,
channel_shuffle::is_ignored_dim4_axis0,
- channel_shuffle::examples_dim4_axis0);
+ channel_shuffle::get_examples_dim4_axis0());
}
TEST_F(GeneratedTests, channel_shuffle_dim4_axis0_neg) {
execute(channel_shuffle::CreateModel_dim4_axis0_neg,
channel_shuffle::is_ignored_dim4_axis0_neg,
- channel_shuffle::examples_dim4_axis0_neg);
+ channel_shuffle::get_examples_dim4_axis0_neg());
}
TEST_F(GeneratedTests, channel_shuffle_dim4_axis1) {
execute(channel_shuffle::CreateModel_dim4_axis1,
channel_shuffle::is_ignored_dim4_axis1,
- channel_shuffle::examples_dim4_axis1);
+ channel_shuffle::get_examples_dim4_axis1());
}
TEST_F(GeneratedTests, channel_shuffle_dim4_axis1_neg) {
execute(channel_shuffle::CreateModel_dim4_axis1_neg,
channel_shuffle::is_ignored_dim4_axis1_neg,
- channel_shuffle::examples_dim4_axis1_neg);
+ channel_shuffle::get_examples_dim4_axis1_neg());
}
TEST_F(GeneratedTests, channel_shuffle_dim4_axis2) {
execute(channel_shuffle::CreateModel_dim4_axis2,
channel_shuffle::is_ignored_dim4_axis2,
- channel_shuffle::examples_dim4_axis2);
+ channel_shuffle::get_examples_dim4_axis2());
}
TEST_F(GeneratedTests, channel_shuffle_dim4_axis2_neg) {
execute(channel_shuffle::CreateModel_dim4_axis2_neg,
channel_shuffle::is_ignored_dim4_axis2_neg,
- channel_shuffle::examples_dim4_axis2_neg);
+ channel_shuffle::get_examples_dim4_axis2_neg());
}
TEST_F(GeneratedTests, channel_shuffle_dim4_axis3) {
execute(channel_shuffle::CreateModel_dim4_axis3,
channel_shuffle::is_ignored_dim4_axis3,
- channel_shuffle::examples_dim4_axis3);
+ channel_shuffle::get_examples_dim4_axis3());
}
TEST_F(GeneratedTests, channel_shuffle_dim4_axis3_neg) {
execute(channel_shuffle::CreateModel_dim4_axis3_neg,
channel_shuffle::is_ignored_dim4_axis3_neg,
- channel_shuffle::examples_dim4_axis3_neg);
+ channel_shuffle::get_examples_dim4_axis3_neg());
}
TEST_F(GeneratedTests, channel_shuffle_dim3_axis0) {
execute(channel_shuffle::CreateModel_dim3_axis0,
channel_shuffle::is_ignored_dim3_axis0,
- channel_shuffle::examples_dim3_axis0);
+ channel_shuffle::get_examples_dim3_axis0());
}
TEST_F(GeneratedTests, channel_shuffle_dim3_axis0_neg) {
execute(channel_shuffle::CreateModel_dim3_axis0_neg,
channel_shuffle::is_ignored_dim3_axis0_neg,
- channel_shuffle::examples_dim3_axis0_neg);
+ channel_shuffle::get_examples_dim3_axis0_neg());
}
TEST_F(GeneratedTests, channel_shuffle_dim3_axis1) {
execute(channel_shuffle::CreateModel_dim3_axis1,
channel_shuffle::is_ignored_dim3_axis1,
- channel_shuffle::examples_dim3_axis1);
+ channel_shuffle::get_examples_dim3_axis1());
}
TEST_F(GeneratedTests, channel_shuffle_dim3_axis1_neg) {
execute(channel_shuffle::CreateModel_dim3_axis1_neg,
channel_shuffle::is_ignored_dim3_axis1_neg,
- channel_shuffle::examples_dim3_axis1_neg);
+ channel_shuffle::get_examples_dim3_axis1_neg());
}
TEST_F(GeneratedTests, channel_shuffle_dim3_axis2) {
execute(channel_shuffle::CreateModel_dim3_axis2,
channel_shuffle::is_ignored_dim3_axis2,
- channel_shuffle::examples_dim3_axis2);
+ channel_shuffle::get_examples_dim3_axis2());
}
TEST_F(GeneratedTests, channel_shuffle_dim3_axis2_neg) {
execute(channel_shuffle::CreateModel_dim3_axis2_neg,
channel_shuffle::is_ignored_dim3_axis2_neg,
- channel_shuffle::examples_dim3_axis2_neg);
+ channel_shuffle::get_examples_dim3_axis2_neg());
}
TEST_F(GeneratedTests, channel_shuffle_dim2_axis0) {
execute(channel_shuffle::CreateModel_dim2_axis0,
channel_shuffle::is_ignored_dim2_axis0,
- channel_shuffle::examples_dim2_axis0);
+ channel_shuffle::get_examples_dim2_axis0());
}
TEST_F(GeneratedTests, channel_shuffle_dim2_axis0_neg) {
execute(channel_shuffle::CreateModel_dim2_axis0_neg,
channel_shuffle::is_ignored_dim2_axis0_neg,
- channel_shuffle::examples_dim2_axis0_neg);
+ channel_shuffle::get_examples_dim2_axis0_neg());
}
TEST_F(GeneratedTests, channel_shuffle_dim2_axis1) {
execute(channel_shuffle::CreateModel_dim2_axis1,
channel_shuffle::is_ignored_dim2_axis1,
- channel_shuffle::examples_dim2_axis1);
+ channel_shuffle::get_examples_dim2_axis1());
}
TEST_F(GeneratedTests, channel_shuffle_dim2_axis1_neg) {
execute(channel_shuffle::CreateModel_dim2_axis1_neg,
channel_shuffle::is_ignored_dim2_axis1_neg,
- channel_shuffle::examples_dim2_axis1_neg);
+ channel_shuffle::get_examples_dim2_axis1_neg());
}
TEST_F(GeneratedTests, channel_shuffle_dim1_axis0) {
execute(channel_shuffle::CreateModel_dim1_axis0,
channel_shuffle::is_ignored_dim1_axis0,
- channel_shuffle::examples_dim1_axis0);
+ channel_shuffle::get_examples_dim1_axis0());
}
TEST_F(GeneratedTests, channel_shuffle_dim1_axis0_neg) {
execute(channel_shuffle::CreateModel_dim1_axis0_neg,
channel_shuffle::is_ignored_dim1_axis0_neg,
- channel_shuffle::examples_dim1_axis0_neg);
+ channel_shuffle::get_examples_dim1_axis0_neg());
}
TEST_F(GeneratedTests, channel_shuffle_relaxed_dim4_axis0) {
execute(channel_shuffle::CreateModel_relaxed_dim4_axis0,
channel_shuffle::is_ignored_relaxed_dim4_axis0,
- channel_shuffle::examples_relaxed_dim4_axis0);
+ channel_shuffle::get_examples_relaxed_dim4_axis0());
}
TEST_F(GeneratedTests, channel_shuffle_relaxed_dim4_axis0_neg) {
execute(channel_shuffle::CreateModel_relaxed_dim4_axis0_neg,
channel_shuffle::is_ignored_relaxed_dim4_axis0_neg,
- channel_shuffle::examples_relaxed_dim4_axis0_neg);
+ channel_shuffle::get_examples_relaxed_dim4_axis0_neg());
}
TEST_F(GeneratedTests, channel_shuffle_relaxed_dim4_axis1) {
execute(channel_shuffle::CreateModel_relaxed_dim4_axis1,
channel_shuffle::is_ignored_relaxed_dim4_axis1,
- channel_shuffle::examples_relaxed_dim4_axis1);
+ channel_shuffle::get_examples_relaxed_dim4_axis1());
}
TEST_F(GeneratedTests, channel_shuffle_relaxed_dim4_axis1_neg) {
execute(channel_shuffle::CreateModel_relaxed_dim4_axis1_neg,
channel_shuffle::is_ignored_relaxed_dim4_axis1_neg,
- channel_shuffle::examples_relaxed_dim4_axis1_neg);
+ channel_shuffle::get_examples_relaxed_dim4_axis1_neg());
}
TEST_F(GeneratedTests, channel_shuffle_relaxed_dim4_axis2) {
execute(channel_shuffle::CreateModel_relaxed_dim4_axis2,
channel_shuffle::is_ignored_relaxed_dim4_axis2,
- channel_shuffle::examples_relaxed_dim4_axis2);
+ channel_shuffle::get_examples_relaxed_dim4_axis2());
}
TEST_F(GeneratedTests, channel_shuffle_relaxed_dim4_axis2_neg) {
execute(channel_shuffle::CreateModel_relaxed_dim4_axis2_neg,
channel_shuffle::is_ignored_relaxed_dim4_axis2_neg,
- channel_shuffle::examples_relaxed_dim4_axis2_neg);
+ channel_shuffle::get_examples_relaxed_dim4_axis2_neg());
}
TEST_F(GeneratedTests, channel_shuffle_relaxed_dim4_axis3) {
execute(channel_shuffle::CreateModel_relaxed_dim4_axis3,
channel_shuffle::is_ignored_relaxed_dim4_axis3,
- channel_shuffle::examples_relaxed_dim4_axis3);
+ channel_shuffle::get_examples_relaxed_dim4_axis3());
}
TEST_F(GeneratedTests, channel_shuffle_relaxed_dim4_axis3_neg) {
execute(channel_shuffle::CreateModel_relaxed_dim4_axis3_neg,
channel_shuffle::is_ignored_relaxed_dim4_axis3_neg,
- channel_shuffle::examples_relaxed_dim4_axis3_neg);
+ channel_shuffle::get_examples_relaxed_dim4_axis3_neg());
}
TEST_F(GeneratedTests, channel_shuffle_relaxed_dim3_axis0) {
execute(channel_shuffle::CreateModel_relaxed_dim3_axis0,
channel_shuffle::is_ignored_relaxed_dim3_axis0,
- channel_shuffle::examples_relaxed_dim3_axis0);
+ channel_shuffle::get_examples_relaxed_dim3_axis0());
}
TEST_F(GeneratedTests, channel_shuffle_relaxed_dim3_axis0_neg) {
execute(channel_shuffle::CreateModel_relaxed_dim3_axis0_neg,
channel_shuffle::is_ignored_relaxed_dim3_axis0_neg,
- channel_shuffle::examples_relaxed_dim3_axis0_neg);
+ channel_shuffle::get_examples_relaxed_dim3_axis0_neg());
}
TEST_F(GeneratedTests, channel_shuffle_relaxed_dim3_axis1) {
execute(channel_shuffle::CreateModel_relaxed_dim3_axis1,
channel_shuffle::is_ignored_relaxed_dim3_axis1,
- channel_shuffle::examples_relaxed_dim3_axis1);
+ channel_shuffle::get_examples_relaxed_dim3_axis1());
}
TEST_F(GeneratedTests, channel_shuffle_relaxed_dim3_axis1_neg) {
execute(channel_shuffle::CreateModel_relaxed_dim3_axis1_neg,
channel_shuffle::is_ignored_relaxed_dim3_axis1_neg,
- channel_shuffle::examples_relaxed_dim3_axis1_neg);
+ channel_shuffle::get_examples_relaxed_dim3_axis1_neg());
}
TEST_F(GeneratedTests, channel_shuffle_relaxed_dim3_axis2) {
execute(channel_shuffle::CreateModel_relaxed_dim3_axis2,
channel_shuffle::is_ignored_relaxed_dim3_axis2,
- channel_shuffle::examples_relaxed_dim3_axis2);
+ channel_shuffle::get_examples_relaxed_dim3_axis2());
}
TEST_F(GeneratedTests, channel_shuffle_relaxed_dim3_axis2_neg) {
execute(channel_shuffle::CreateModel_relaxed_dim3_axis2_neg,
channel_shuffle::is_ignored_relaxed_dim3_axis2_neg,
- channel_shuffle::examples_relaxed_dim3_axis2_neg);
+ channel_shuffle::get_examples_relaxed_dim3_axis2_neg());
}
TEST_F(GeneratedTests, channel_shuffle_relaxed_dim2_axis0) {
execute(channel_shuffle::CreateModel_relaxed_dim2_axis0,
channel_shuffle::is_ignored_relaxed_dim2_axis0,
- channel_shuffle::examples_relaxed_dim2_axis0);
+ channel_shuffle::get_examples_relaxed_dim2_axis0());
}
TEST_F(GeneratedTests, channel_shuffle_relaxed_dim2_axis0_neg) {
execute(channel_shuffle::CreateModel_relaxed_dim2_axis0_neg,
channel_shuffle::is_ignored_relaxed_dim2_axis0_neg,
- channel_shuffle::examples_relaxed_dim2_axis0_neg);
+ channel_shuffle::get_examples_relaxed_dim2_axis0_neg());
}
TEST_F(GeneratedTests, channel_shuffle_relaxed_dim2_axis1) {
execute(channel_shuffle::CreateModel_relaxed_dim2_axis1,
channel_shuffle::is_ignored_relaxed_dim2_axis1,
- channel_shuffle::examples_relaxed_dim2_axis1);
+ channel_shuffle::get_examples_relaxed_dim2_axis1());
}
TEST_F(GeneratedTests, channel_shuffle_relaxed_dim2_axis1_neg) {
execute(channel_shuffle::CreateModel_relaxed_dim2_axis1_neg,
channel_shuffle::is_ignored_relaxed_dim2_axis1_neg,
- channel_shuffle::examples_relaxed_dim2_axis1_neg);
+ channel_shuffle::get_examples_relaxed_dim2_axis1_neg());
}
TEST_F(GeneratedTests, channel_shuffle_relaxed_dim1_axis0) {
execute(channel_shuffle::CreateModel_relaxed_dim1_axis0,
channel_shuffle::is_ignored_relaxed_dim1_axis0,
- channel_shuffle::examples_relaxed_dim1_axis0);
+ channel_shuffle::get_examples_relaxed_dim1_axis0());
}
TEST_F(GeneratedTests, channel_shuffle_relaxed_dim1_axis0_neg) {
execute(channel_shuffle::CreateModel_relaxed_dim1_axis0_neg,
channel_shuffle::is_ignored_relaxed_dim1_axis0_neg,
- channel_shuffle::examples_relaxed_dim1_axis0_neg);
+ channel_shuffle::get_examples_relaxed_dim1_axis0_neg());
}
TEST_F(GeneratedTests, channel_shuffle_quant8_dim4_axis0) {
execute(channel_shuffle::CreateModel_quant8_dim4_axis0,
channel_shuffle::is_ignored_quant8_dim4_axis0,
- channel_shuffle::examples_quant8_dim4_axis0);
+ channel_shuffle::get_examples_quant8_dim4_axis0());
}
TEST_F(GeneratedTests, channel_shuffle_quant8_dim4_axis0_neg) {
execute(channel_shuffle::CreateModel_quant8_dim4_axis0_neg,
channel_shuffle::is_ignored_quant8_dim4_axis0_neg,
- channel_shuffle::examples_quant8_dim4_axis0_neg);
+ channel_shuffle::get_examples_quant8_dim4_axis0_neg());
}
TEST_F(GeneratedTests, channel_shuffle_quant8_dim4_axis1) {
execute(channel_shuffle::CreateModel_quant8_dim4_axis1,
channel_shuffle::is_ignored_quant8_dim4_axis1,
- channel_shuffle::examples_quant8_dim4_axis1);
+ channel_shuffle::get_examples_quant8_dim4_axis1());
}
TEST_F(GeneratedTests, channel_shuffle_quant8_dim4_axis1_neg) {
execute(channel_shuffle::CreateModel_quant8_dim4_axis1_neg,
channel_shuffle::is_ignored_quant8_dim4_axis1_neg,
- channel_shuffle::examples_quant8_dim4_axis1_neg);
+ channel_shuffle::get_examples_quant8_dim4_axis1_neg());
}
TEST_F(GeneratedTests, channel_shuffle_quant8_dim4_axis2) {
execute(channel_shuffle::CreateModel_quant8_dim4_axis2,
channel_shuffle::is_ignored_quant8_dim4_axis2,
- channel_shuffle::examples_quant8_dim4_axis2);
+ channel_shuffle::get_examples_quant8_dim4_axis2());
}
TEST_F(GeneratedTests, channel_shuffle_quant8_dim4_axis2_neg) {
execute(channel_shuffle::CreateModel_quant8_dim4_axis2_neg,
channel_shuffle::is_ignored_quant8_dim4_axis2_neg,
- channel_shuffle::examples_quant8_dim4_axis2_neg);
+ channel_shuffle::get_examples_quant8_dim4_axis2_neg());
}
TEST_F(GeneratedTests, channel_shuffle_quant8_dim4_axis3) {
execute(channel_shuffle::CreateModel_quant8_dim4_axis3,
channel_shuffle::is_ignored_quant8_dim4_axis3,
- channel_shuffle::examples_quant8_dim4_axis3);
+ channel_shuffle::get_examples_quant8_dim4_axis3());
}
TEST_F(GeneratedTests, channel_shuffle_quant8_dim4_axis3_neg) {
execute(channel_shuffle::CreateModel_quant8_dim4_axis3_neg,
channel_shuffle::is_ignored_quant8_dim4_axis3_neg,
- channel_shuffle::examples_quant8_dim4_axis3_neg);
+ channel_shuffle::get_examples_quant8_dim4_axis3_neg());
}
TEST_F(GeneratedTests, channel_shuffle_quant8_dim3_axis0) {
execute(channel_shuffle::CreateModel_quant8_dim3_axis0,
channel_shuffle::is_ignored_quant8_dim3_axis0,
- channel_shuffle::examples_quant8_dim3_axis0);
+ channel_shuffle::get_examples_quant8_dim3_axis0());
}
TEST_F(GeneratedTests, channel_shuffle_quant8_dim3_axis0_neg) {
execute(channel_shuffle::CreateModel_quant8_dim3_axis0_neg,
channel_shuffle::is_ignored_quant8_dim3_axis0_neg,
- channel_shuffle::examples_quant8_dim3_axis0_neg);
+ channel_shuffle::get_examples_quant8_dim3_axis0_neg());
}
TEST_F(GeneratedTests, channel_shuffle_quant8_dim3_axis1) {
execute(channel_shuffle::CreateModel_quant8_dim3_axis1,
channel_shuffle::is_ignored_quant8_dim3_axis1,
- channel_shuffle::examples_quant8_dim3_axis1);
+ channel_shuffle::get_examples_quant8_dim3_axis1());
}
TEST_F(GeneratedTests, channel_shuffle_quant8_dim3_axis1_neg) {
execute(channel_shuffle::CreateModel_quant8_dim3_axis1_neg,
channel_shuffle::is_ignored_quant8_dim3_axis1_neg,
- channel_shuffle::examples_quant8_dim3_axis1_neg);
+ channel_shuffle::get_examples_quant8_dim3_axis1_neg());
}
TEST_F(GeneratedTests, channel_shuffle_quant8_dim3_axis2) {
execute(channel_shuffle::CreateModel_quant8_dim3_axis2,
channel_shuffle::is_ignored_quant8_dim3_axis2,
- channel_shuffle::examples_quant8_dim3_axis2);
+ channel_shuffle::get_examples_quant8_dim3_axis2());
}
TEST_F(GeneratedTests, channel_shuffle_quant8_dim3_axis2_neg) {
execute(channel_shuffle::CreateModel_quant8_dim3_axis2_neg,
channel_shuffle::is_ignored_quant8_dim3_axis2_neg,
- channel_shuffle::examples_quant8_dim3_axis2_neg);
+ channel_shuffle::get_examples_quant8_dim3_axis2_neg());
}
TEST_F(GeneratedTests, channel_shuffle_quant8_dim2_axis0) {
execute(channel_shuffle::CreateModel_quant8_dim2_axis0,
channel_shuffle::is_ignored_quant8_dim2_axis0,
- channel_shuffle::examples_quant8_dim2_axis0);
+ channel_shuffle::get_examples_quant8_dim2_axis0());
}
TEST_F(GeneratedTests, channel_shuffle_quant8_dim2_axis0_neg) {
execute(channel_shuffle::CreateModel_quant8_dim2_axis0_neg,
channel_shuffle::is_ignored_quant8_dim2_axis0_neg,
- channel_shuffle::examples_quant8_dim2_axis0_neg);
+ channel_shuffle::get_examples_quant8_dim2_axis0_neg());
}
TEST_F(GeneratedTests, channel_shuffle_quant8_dim2_axis1) {
execute(channel_shuffle::CreateModel_quant8_dim2_axis1,
channel_shuffle::is_ignored_quant8_dim2_axis1,
- channel_shuffle::examples_quant8_dim2_axis1);
+ channel_shuffle::get_examples_quant8_dim2_axis1());
}
TEST_F(GeneratedTests, channel_shuffle_quant8_dim2_axis1_neg) {
execute(channel_shuffle::CreateModel_quant8_dim2_axis1_neg,
channel_shuffle::is_ignored_quant8_dim2_axis1_neg,
- channel_shuffle::examples_quant8_dim2_axis1_neg);
+ channel_shuffle::get_examples_quant8_dim2_axis1_neg());
}
TEST_F(GeneratedTests, channel_shuffle_quant8_dim1_axis0) {
execute(channel_shuffle::CreateModel_quant8_dim1_axis0,
channel_shuffle::is_ignored_quant8_dim1_axis0,
- channel_shuffle::examples_quant8_dim1_axis0);
+ channel_shuffle::get_examples_quant8_dim1_axis0());
}
TEST_F(GeneratedTests, channel_shuffle_quant8_dim1_axis0_neg) {
execute(channel_shuffle::CreateModel_quant8_dim1_axis0_neg,
channel_shuffle::is_ignored_quant8_dim1_axis0_neg,
- channel_shuffle::examples_quant8_dim1_axis0_neg);
+ channel_shuffle::get_examples_quant8_dim1_axis0_neg());
}
diff --git a/nn/runtime/test/generated/tests/concat_float16_1.mod.py.cpp b/nn/runtime/test/generated/tests/concat_float16_1.mod.py.cpp
new file mode 100644
index 0000000..0b391dd
--- /dev/null
+++ b/nn/runtime/test/generated/tests/concat_float16_1.mod.py.cpp
@@ -0,0 +1,17 @@
+// clang-format off
+// Generated file (from: concat_float16_1.mod.py). Do not edit
+#include "../../TestGenerated.h"
+
+namespace concat_float16_1 {
+// Generated concat_float16_1 test
+#include "generated/examples/concat_float16_1.example.cpp"
+// Generated model constructor
+#include "generated/models/concat_float16_1.model.cpp"
+} // namespace concat_float16_1
+
+TEST_F(GeneratedTests, concat_float16_1) {
+ execute(concat_float16_1::CreateModel,
+ concat_float16_1::is_ignored,
+ concat_float16_1::get_examples());
+}
+
diff --git a/nn/runtime/test/generated/tests/concat_float16_2.mod.py.cpp b/nn/runtime/test/generated/tests/concat_float16_2.mod.py.cpp
new file mode 100644
index 0000000..8ab2d1d
--- /dev/null
+++ b/nn/runtime/test/generated/tests/concat_float16_2.mod.py.cpp
@@ -0,0 +1,17 @@
+// clang-format off
+// Generated file (from: concat_float16_2.mod.py). Do not edit
+#include "../../TestGenerated.h"
+
+namespace concat_float16_2 {
+// Generated concat_float16_2 test
+#include "generated/examples/concat_float16_2.example.cpp"
+// Generated model constructor
+#include "generated/models/concat_float16_2.model.cpp"
+} // namespace concat_float16_2
+
+TEST_F(GeneratedTests, concat_float16_2) {
+ execute(concat_float16_2::CreateModel,
+ concat_float16_2::is_ignored,
+ concat_float16_2::get_examples());
+}
+
diff --git a/nn/runtime/test/generated/tests/concat_float16_3.mod.py.cpp b/nn/runtime/test/generated/tests/concat_float16_3.mod.py.cpp
new file mode 100644
index 0000000..92d87a2
--- /dev/null
+++ b/nn/runtime/test/generated/tests/concat_float16_3.mod.py.cpp
@@ -0,0 +1,17 @@
+// clang-format off
+// Generated file (from: concat_float16_3.mod.py). Do not edit
+#include "../../TestGenerated.h"
+
+namespace concat_float16_3 {
+// Generated concat_float16_3 test
+#include "generated/examples/concat_float16_3.example.cpp"
+// Generated model constructor
+#include "generated/models/concat_float16_3.model.cpp"
+} // namespace concat_float16_3
+
+TEST_F(GeneratedTests, concat_float16_3) {
+ execute(concat_float16_3::CreateModel,
+ concat_float16_3::is_ignored,
+ concat_float16_3::get_examples());
+}
+
diff --git a/nn/runtime/test/generated/tests/concat_float_1.mod.py.cpp b/nn/runtime/test/generated/tests/concat_float_1.mod.py.cpp
index 24a2d8f..1af832b 100644
--- a/nn/runtime/test/generated/tests/concat_float_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/concat_float_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, concat_float_1) {
execute(concat_float_1::CreateModel,
concat_float_1::is_ignored,
- concat_float_1::examples);
+ concat_float_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/concat_float_1_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/concat_float_1_relaxed.mod.py.cpp
index eea473e..d4e827f 100644
--- a/nn/runtime/test/generated/tests/concat_float_1_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/concat_float_1_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, concat_float_1_relaxed) {
execute(concat_float_1_relaxed::CreateModel,
concat_float_1_relaxed::is_ignored,
- concat_float_1_relaxed::examples);
+ concat_float_1_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/concat_float_2.mod.py.cpp b/nn/runtime/test/generated/tests/concat_float_2.mod.py.cpp
index 337b3d0..fdb84fa 100644
--- a/nn/runtime/test/generated/tests/concat_float_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/concat_float_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, concat_float_2) {
execute(concat_float_2::CreateModel,
concat_float_2::is_ignored,
- concat_float_2::examples);
+ concat_float_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/concat_float_2_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/concat_float_2_relaxed.mod.py.cpp
index 185429e..2c07144 100644
--- a/nn/runtime/test/generated/tests/concat_float_2_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/concat_float_2_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, concat_float_2_relaxed) {
execute(concat_float_2_relaxed::CreateModel,
concat_float_2_relaxed::is_ignored,
- concat_float_2_relaxed::examples);
+ concat_float_2_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/concat_float_3.mod.py.cpp b/nn/runtime/test/generated/tests/concat_float_3.mod.py.cpp
index 845cb7a..ef92530 100644
--- a/nn/runtime/test/generated/tests/concat_float_3.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/concat_float_3.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, concat_float_3) {
execute(concat_float_3::CreateModel,
concat_float_3::is_ignored,
- concat_float_3::examples);
+ concat_float_3::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/concat_float_3_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/concat_float_3_relaxed.mod.py.cpp
index 3a44191..544d1dd 100644
--- a/nn/runtime/test/generated/tests/concat_float_3_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/concat_float_3_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, concat_float_3_relaxed) {
execute(concat_float_3_relaxed::CreateModel,
concat_float_3_relaxed::is_ignored,
- concat_float_3_relaxed::examples);
+ concat_float_3_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/concat_mixed_quant.mod.py.cpp b/nn/runtime/test/generated/tests/concat_mixed_quant.mod.py.cpp
new file mode 100644
index 0000000..9ff2e60
--- /dev/null
+++ b/nn/runtime/test/generated/tests/concat_mixed_quant.mod.py.cpp
@@ -0,0 +1,23 @@
+// clang-format off
+// Generated file (from: concat_mixed_quant.mod.py). Do not edit
+#include "../../TestGenerated.h"
+
+namespace concat_mixed_quant {
+// Generated concat_mixed_quant test
+#include "generated/examples/concat_mixed_quant.example.cpp"
+// Generated model constructor
+#include "generated/models/concat_mixed_quant.model.cpp"
+} // namespace concat_mixed_quant
+
+TEST_F(GeneratedTests, concat_mixed_quant_quant8) {
+ execute(concat_mixed_quant::CreateModel_quant8,
+ concat_mixed_quant::is_ignored_quant8,
+ concat_mixed_quant::get_examples_quant8());
+}
+
+TEST_F(GeneratedTests, concat_mixed_quant_quant8_2) {
+ execute(concat_mixed_quant::CreateModel_quant8_2,
+ concat_mixed_quant::is_ignored_quant8_2,
+ concat_mixed_quant::get_examples_quant8_2());
+}
+
diff --git a/nn/runtime/test/generated/tests/concat_quant8_1.mod.py.cpp b/nn/runtime/test/generated/tests/concat_quant8_1.mod.py.cpp
index f07b928..4b74c04 100644
--- a/nn/runtime/test/generated/tests/concat_quant8_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/concat_quant8_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, concat_quant8_1) {
execute(concat_quant8_1::CreateModel,
concat_quant8_1::is_ignored,
- concat_quant8_1::examples);
+ concat_quant8_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/concat_quant8_2.mod.py.cpp b/nn/runtime/test/generated/tests/concat_quant8_2.mod.py.cpp
index 3685ccc..17e9b18 100644
--- a/nn/runtime/test/generated/tests/concat_quant8_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/concat_quant8_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, concat_quant8_2) {
execute(concat_quant8_2::CreateModel,
concat_quant8_2::is_ignored,
- concat_quant8_2::examples);
+ concat_quant8_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/concat_quant8_3.mod.py.cpp b/nn/runtime/test/generated/tests/concat_quant8_3.mod.py.cpp
index 1d2e9fb..eddbdef 100644
--- a/nn/runtime/test/generated/tests/concat_quant8_3.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/concat_quant8_3.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, concat_quant8_3) {
execute(concat_quant8_3::CreateModel,
concat_quant8_3::is_ignored,
- concat_quant8_3::examples);
+ concat_quant8_3::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/conv2d_v1_2.mod.py.cpp b/nn/runtime/test/generated/tests/conv2d_v1_2.mod.py.cpp
index 6ab7c23..784f2bd 100644
--- a/nn/runtime/test/generated/tests/conv2d_v1_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/conv2d_v1_2.mod.py.cpp
@@ -12,384 +12,384 @@
TEST_F(GeneratedTests, conv2d_v1_2_nhwc) {
execute(conv2d_v1_2::CreateModel_nhwc,
conv2d_v1_2::is_ignored_nhwc,
- conv2d_v1_2::examples_nhwc);
+ conv2d_v1_2::get_examples_nhwc());
}
TEST_F(GeneratedTests, conv2d_v1_2_nhwc_relaxed) {
execute(conv2d_v1_2::CreateModel_nhwc_relaxed,
conv2d_v1_2::is_ignored_nhwc_relaxed,
- conv2d_v1_2::examples_nhwc_relaxed);
+ conv2d_v1_2::get_examples_nhwc_relaxed());
}
TEST_F(GeneratedTests, conv2d_v1_2_nhwc_quant8) {
execute(conv2d_v1_2::CreateModel_nhwc_quant8,
conv2d_v1_2::is_ignored_nhwc_quant8,
- conv2d_v1_2::examples_nhwc_quant8);
+ conv2d_v1_2::get_examples_nhwc_quant8());
}
TEST_F(GeneratedTests, conv2d_v1_2_nhwc_weight_as_input) {
execute(conv2d_v1_2::CreateModel_nhwc_weight_as_input,
conv2d_v1_2::is_ignored_nhwc_weight_as_input,
- conv2d_v1_2::examples_nhwc_weight_as_input);
+ conv2d_v1_2::get_examples_nhwc_weight_as_input());
}
TEST_F(GeneratedTests, conv2d_v1_2_nhwc_weight_as_input_relaxed) {
execute(conv2d_v1_2::CreateModel_nhwc_weight_as_input_relaxed,
conv2d_v1_2::is_ignored_nhwc_weight_as_input_relaxed,
- conv2d_v1_2::examples_nhwc_weight_as_input_relaxed);
+ conv2d_v1_2::get_examples_nhwc_weight_as_input_relaxed());
}
TEST_F(GeneratedTests, conv2d_v1_2_nhwc_weight_as_input_quant8) {
execute(conv2d_v1_2::CreateModel_nhwc_weight_as_input_quant8,
conv2d_v1_2::is_ignored_nhwc_weight_as_input_quant8,
- conv2d_v1_2::examples_nhwc_weight_as_input_quant8);
+ conv2d_v1_2::get_examples_nhwc_weight_as_input_quant8());
}
TEST_F(GeneratedTests, conv2d_v1_2_nchw) {
execute(conv2d_v1_2::CreateModel_nchw,
conv2d_v1_2::is_ignored_nchw,
- conv2d_v1_2::examples_nchw);
+ conv2d_v1_2::get_examples_nchw());
}
TEST_F(GeneratedTests, conv2d_v1_2_nchw_relaxed) {
execute(conv2d_v1_2::CreateModel_nchw_relaxed,
conv2d_v1_2::is_ignored_nchw_relaxed,
- conv2d_v1_2::examples_nchw_relaxed);
+ conv2d_v1_2::get_examples_nchw_relaxed());
}
TEST_F(GeneratedTests, conv2d_v1_2_nchw_quant8) {
execute(conv2d_v1_2::CreateModel_nchw_quant8,
conv2d_v1_2::is_ignored_nchw_quant8,
- conv2d_v1_2::examples_nchw_quant8);
+ conv2d_v1_2::get_examples_nchw_quant8());
}
TEST_F(GeneratedTests, conv2d_v1_2_nchw_weight_as_input) {
execute(conv2d_v1_2::CreateModel_nchw_weight_as_input,
conv2d_v1_2::is_ignored_nchw_weight_as_input,
- conv2d_v1_2::examples_nchw_weight_as_input);
+ conv2d_v1_2::get_examples_nchw_weight_as_input());
}
TEST_F(GeneratedTests, conv2d_v1_2_nchw_weight_as_input_relaxed) {
execute(conv2d_v1_2::CreateModel_nchw_weight_as_input_relaxed,
conv2d_v1_2::is_ignored_nchw_weight_as_input_relaxed,
- conv2d_v1_2::examples_nchw_weight_as_input_relaxed);
+ conv2d_v1_2::get_examples_nchw_weight_as_input_relaxed());
}
TEST_F(GeneratedTests, conv2d_v1_2_nchw_weight_as_input_quant8) {
execute(conv2d_v1_2::CreateModel_nchw_weight_as_input_quant8,
conv2d_v1_2::is_ignored_nchw_weight_as_input_quant8,
- conv2d_v1_2::examples_nchw_weight_as_input_quant8);
+ conv2d_v1_2::get_examples_nchw_weight_as_input_quant8());
}
TEST_F(GeneratedTests, conv2d_v1_2_nhwc_2) {
execute(conv2d_v1_2::CreateModel_nhwc_2,
conv2d_v1_2::is_ignored_nhwc_2,
- conv2d_v1_2::examples_nhwc_2);
+ conv2d_v1_2::get_examples_nhwc_2());
}
TEST_F(GeneratedTests, conv2d_v1_2_nhwc_relaxed_2) {
execute(conv2d_v1_2::CreateModel_nhwc_relaxed_2,
conv2d_v1_2::is_ignored_nhwc_relaxed_2,
- conv2d_v1_2::examples_nhwc_relaxed_2);
+ conv2d_v1_2::get_examples_nhwc_relaxed_2());
}
TEST_F(GeneratedTests, conv2d_v1_2_nhwc_quant8_2) {
execute(conv2d_v1_2::CreateModel_nhwc_quant8_2,
conv2d_v1_2::is_ignored_nhwc_quant8_2,
- conv2d_v1_2::examples_nhwc_quant8_2);
+ conv2d_v1_2::get_examples_nhwc_quant8_2());
}
TEST_F(GeneratedTests, conv2d_v1_2_nhwc_weight_as_input_2) {
execute(conv2d_v1_2::CreateModel_nhwc_weight_as_input_2,
conv2d_v1_2::is_ignored_nhwc_weight_as_input_2,
- conv2d_v1_2::examples_nhwc_weight_as_input_2);
+ conv2d_v1_2::get_examples_nhwc_weight_as_input_2());
}
TEST_F(GeneratedTests, conv2d_v1_2_nhwc_weight_as_input_relaxed_2) {
execute(conv2d_v1_2::CreateModel_nhwc_weight_as_input_relaxed_2,
conv2d_v1_2::is_ignored_nhwc_weight_as_input_relaxed_2,
- conv2d_v1_2::examples_nhwc_weight_as_input_relaxed_2);
+ conv2d_v1_2::get_examples_nhwc_weight_as_input_relaxed_2());
}
TEST_F(GeneratedTests, conv2d_v1_2_nhwc_weight_as_input_quant8_2) {
execute(conv2d_v1_2::CreateModel_nhwc_weight_as_input_quant8_2,
conv2d_v1_2::is_ignored_nhwc_weight_as_input_quant8_2,
- conv2d_v1_2::examples_nhwc_weight_as_input_quant8_2);
+ conv2d_v1_2::get_examples_nhwc_weight_as_input_quant8_2());
}
TEST_F(GeneratedTests, conv2d_v1_2_nchw_2) {
execute(conv2d_v1_2::CreateModel_nchw_2,
conv2d_v1_2::is_ignored_nchw_2,
- conv2d_v1_2::examples_nchw_2);
+ conv2d_v1_2::get_examples_nchw_2());
}
TEST_F(GeneratedTests, conv2d_v1_2_nchw_relaxed_2) {
execute(conv2d_v1_2::CreateModel_nchw_relaxed_2,
conv2d_v1_2::is_ignored_nchw_relaxed_2,
- conv2d_v1_2::examples_nchw_relaxed_2);
+ conv2d_v1_2::get_examples_nchw_relaxed_2());
}
TEST_F(GeneratedTests, conv2d_v1_2_nchw_quant8_2) {
execute(conv2d_v1_2::CreateModel_nchw_quant8_2,
conv2d_v1_2::is_ignored_nchw_quant8_2,
- conv2d_v1_2::examples_nchw_quant8_2);
+ conv2d_v1_2::get_examples_nchw_quant8_2());
}
TEST_F(GeneratedTests, conv2d_v1_2_nchw_weight_as_input_2) {
execute(conv2d_v1_2::CreateModel_nchw_weight_as_input_2,
conv2d_v1_2::is_ignored_nchw_weight_as_input_2,
- conv2d_v1_2::examples_nchw_weight_as_input_2);
+ conv2d_v1_2::get_examples_nchw_weight_as_input_2());
}
TEST_F(GeneratedTests, conv2d_v1_2_nchw_weight_as_input_relaxed_2) {
execute(conv2d_v1_2::CreateModel_nchw_weight_as_input_relaxed_2,
conv2d_v1_2::is_ignored_nchw_weight_as_input_relaxed_2,
- conv2d_v1_2::examples_nchw_weight_as_input_relaxed_2);
+ conv2d_v1_2::get_examples_nchw_weight_as_input_relaxed_2());
}
TEST_F(GeneratedTests, conv2d_v1_2_nchw_weight_as_input_quant8_2) {
execute(conv2d_v1_2::CreateModel_nchw_weight_as_input_quant8_2,
conv2d_v1_2::is_ignored_nchw_weight_as_input_quant8_2,
- conv2d_v1_2::examples_nchw_weight_as_input_quant8_2);
+ conv2d_v1_2::get_examples_nchw_weight_as_input_quant8_2());
}
TEST_F(GeneratedTests, conv2d_v1_2_channel_nhwc) {
execute(conv2d_v1_2::CreateModel_channel_nhwc,
conv2d_v1_2::is_ignored_channel_nhwc,
- conv2d_v1_2::examples_channel_nhwc);
+ conv2d_v1_2::get_examples_channel_nhwc());
}
TEST_F(GeneratedTests, conv2d_v1_2_channel_nhwc_relaxed) {
execute(conv2d_v1_2::CreateModel_channel_nhwc_relaxed,
conv2d_v1_2::is_ignored_channel_nhwc_relaxed,
- conv2d_v1_2::examples_channel_nhwc_relaxed);
+ conv2d_v1_2::get_examples_channel_nhwc_relaxed());
}
TEST_F(GeneratedTests, conv2d_v1_2_channel_nhwc_quant8) {
execute(conv2d_v1_2::CreateModel_channel_nhwc_quant8,
conv2d_v1_2::is_ignored_channel_nhwc_quant8,
- conv2d_v1_2::examples_channel_nhwc_quant8);
+ conv2d_v1_2::get_examples_channel_nhwc_quant8());
}
TEST_F(GeneratedTests, conv2d_v1_2_channel_nhwc_weight_as_input) {
execute(conv2d_v1_2::CreateModel_channel_nhwc_weight_as_input,
conv2d_v1_2::is_ignored_channel_nhwc_weight_as_input,
- conv2d_v1_2::examples_channel_nhwc_weight_as_input);
+ conv2d_v1_2::get_examples_channel_nhwc_weight_as_input());
}
TEST_F(GeneratedTests, conv2d_v1_2_channel_nhwc_weight_as_input_relaxed) {
execute(conv2d_v1_2::CreateModel_channel_nhwc_weight_as_input_relaxed,
conv2d_v1_2::is_ignored_channel_nhwc_weight_as_input_relaxed,
- conv2d_v1_2::examples_channel_nhwc_weight_as_input_relaxed);
+ conv2d_v1_2::get_examples_channel_nhwc_weight_as_input_relaxed());
}
TEST_F(GeneratedTests, conv2d_v1_2_channel_nhwc_weight_as_input_quant8) {
execute(conv2d_v1_2::CreateModel_channel_nhwc_weight_as_input_quant8,
conv2d_v1_2::is_ignored_channel_nhwc_weight_as_input_quant8,
- conv2d_v1_2::examples_channel_nhwc_weight_as_input_quant8);
+ conv2d_v1_2::get_examples_channel_nhwc_weight_as_input_quant8());
}
TEST_F(GeneratedTests, conv2d_v1_2_channel_nchw) {
execute(conv2d_v1_2::CreateModel_channel_nchw,
conv2d_v1_2::is_ignored_channel_nchw,
- conv2d_v1_2::examples_channel_nchw);
+ conv2d_v1_2::get_examples_channel_nchw());
}
TEST_F(GeneratedTests, conv2d_v1_2_channel_nchw_relaxed) {
execute(conv2d_v1_2::CreateModel_channel_nchw_relaxed,
conv2d_v1_2::is_ignored_channel_nchw_relaxed,
- conv2d_v1_2::examples_channel_nchw_relaxed);
+ conv2d_v1_2::get_examples_channel_nchw_relaxed());
}
TEST_F(GeneratedTests, conv2d_v1_2_channel_nchw_quant8) {
execute(conv2d_v1_2::CreateModel_channel_nchw_quant8,
conv2d_v1_2::is_ignored_channel_nchw_quant8,
- conv2d_v1_2::examples_channel_nchw_quant8);
+ conv2d_v1_2::get_examples_channel_nchw_quant8());
}
TEST_F(GeneratedTests, conv2d_v1_2_channel_nchw_weight_as_input) {
execute(conv2d_v1_2::CreateModel_channel_nchw_weight_as_input,
conv2d_v1_2::is_ignored_channel_nchw_weight_as_input,
- conv2d_v1_2::examples_channel_nchw_weight_as_input);
+ conv2d_v1_2::get_examples_channel_nchw_weight_as_input());
}
TEST_F(GeneratedTests, conv2d_v1_2_channel_nchw_weight_as_input_relaxed) {
execute(conv2d_v1_2::CreateModel_channel_nchw_weight_as_input_relaxed,
conv2d_v1_2::is_ignored_channel_nchw_weight_as_input_relaxed,
- conv2d_v1_2::examples_channel_nchw_weight_as_input_relaxed);
+ conv2d_v1_2::get_examples_channel_nchw_weight_as_input_relaxed());
}
TEST_F(GeneratedTests, conv2d_v1_2_channel_nchw_weight_as_input_quant8) {
execute(conv2d_v1_2::CreateModel_channel_nchw_weight_as_input_quant8,
conv2d_v1_2::is_ignored_channel_nchw_weight_as_input_quant8,
- conv2d_v1_2::examples_channel_nchw_weight_as_input_quant8);
+ conv2d_v1_2::get_examples_channel_nchw_weight_as_input_quant8());
}
TEST_F(GeneratedTests, conv2d_v1_2_large_nhwc) {
execute(conv2d_v1_2::CreateModel_large_nhwc,
conv2d_v1_2::is_ignored_large_nhwc,
- conv2d_v1_2::examples_large_nhwc);
+ conv2d_v1_2::get_examples_large_nhwc());
}
TEST_F(GeneratedTests, conv2d_v1_2_large_nhwc_relaxed) {
execute(conv2d_v1_2::CreateModel_large_nhwc_relaxed,
conv2d_v1_2::is_ignored_large_nhwc_relaxed,
- conv2d_v1_2::examples_large_nhwc_relaxed);
+ conv2d_v1_2::get_examples_large_nhwc_relaxed());
}
TEST_F(GeneratedTests, conv2d_v1_2_large_nhwc_quant8) {
execute(conv2d_v1_2::CreateModel_large_nhwc_quant8,
conv2d_v1_2::is_ignored_large_nhwc_quant8,
- conv2d_v1_2::examples_large_nhwc_quant8);
+ conv2d_v1_2::get_examples_large_nhwc_quant8());
}
TEST_F(GeneratedTests, conv2d_v1_2_large_nhwc_weight_as_input) {
execute(conv2d_v1_2::CreateModel_large_nhwc_weight_as_input,
conv2d_v1_2::is_ignored_large_nhwc_weight_as_input,
- conv2d_v1_2::examples_large_nhwc_weight_as_input);
+ conv2d_v1_2::get_examples_large_nhwc_weight_as_input());
}
TEST_F(GeneratedTests, conv2d_v1_2_large_nhwc_weight_as_input_relaxed) {
execute(conv2d_v1_2::CreateModel_large_nhwc_weight_as_input_relaxed,
conv2d_v1_2::is_ignored_large_nhwc_weight_as_input_relaxed,
- conv2d_v1_2::examples_large_nhwc_weight_as_input_relaxed);
+ conv2d_v1_2::get_examples_large_nhwc_weight_as_input_relaxed());
}
TEST_F(GeneratedTests, conv2d_v1_2_large_nhwc_weight_as_input_quant8) {
execute(conv2d_v1_2::CreateModel_large_nhwc_weight_as_input_quant8,
conv2d_v1_2::is_ignored_large_nhwc_weight_as_input_quant8,
- conv2d_v1_2::examples_large_nhwc_weight_as_input_quant8);
+ conv2d_v1_2::get_examples_large_nhwc_weight_as_input_quant8());
}
TEST_F(GeneratedTests, conv2d_v1_2_large_nchw) {
execute(conv2d_v1_2::CreateModel_large_nchw,
conv2d_v1_2::is_ignored_large_nchw,
- conv2d_v1_2::examples_large_nchw);
+ conv2d_v1_2::get_examples_large_nchw());
}
TEST_F(GeneratedTests, conv2d_v1_2_large_nchw_relaxed) {
execute(conv2d_v1_2::CreateModel_large_nchw_relaxed,
conv2d_v1_2::is_ignored_large_nchw_relaxed,
- conv2d_v1_2::examples_large_nchw_relaxed);
+ conv2d_v1_2::get_examples_large_nchw_relaxed());
}
TEST_F(GeneratedTests, conv2d_v1_2_large_nchw_quant8) {
execute(conv2d_v1_2::CreateModel_large_nchw_quant8,
conv2d_v1_2::is_ignored_large_nchw_quant8,
- conv2d_v1_2::examples_large_nchw_quant8);
+ conv2d_v1_2::get_examples_large_nchw_quant8());
}
TEST_F(GeneratedTests, conv2d_v1_2_large_nchw_weight_as_input) {
execute(conv2d_v1_2::CreateModel_large_nchw_weight_as_input,
conv2d_v1_2::is_ignored_large_nchw_weight_as_input,
- conv2d_v1_2::examples_large_nchw_weight_as_input);
+ conv2d_v1_2::get_examples_large_nchw_weight_as_input());
}
TEST_F(GeneratedTests, conv2d_v1_2_large_nchw_weight_as_input_relaxed) {
execute(conv2d_v1_2::CreateModel_large_nchw_weight_as_input_relaxed,
conv2d_v1_2::is_ignored_large_nchw_weight_as_input_relaxed,
- conv2d_v1_2::examples_large_nchw_weight_as_input_relaxed);
+ conv2d_v1_2::get_examples_large_nchw_weight_as_input_relaxed());
}
TEST_F(GeneratedTests, conv2d_v1_2_large_nchw_weight_as_input_quant8) {
execute(conv2d_v1_2::CreateModel_large_nchw_weight_as_input_quant8,
conv2d_v1_2::is_ignored_large_nchw_weight_as_input_quant8,
- conv2d_v1_2::examples_large_nchw_weight_as_input_quant8);
+ conv2d_v1_2::get_examples_large_nchw_weight_as_input_quant8());
}
TEST_F(GeneratedTests, conv2d_v1_2_1_H3_W2_SAME_nhwc) {
execute(conv2d_v1_2::CreateModel_1_H3_W2_SAME_nhwc,
conv2d_v1_2::is_ignored_1_H3_W2_SAME_nhwc,
- conv2d_v1_2::examples_1_H3_W2_SAME_nhwc);
+ conv2d_v1_2::get_examples_1_H3_W2_SAME_nhwc());
}
TEST_F(GeneratedTests, conv2d_v1_2_1_H3_W2_SAME_nhwc_relaxed) {
execute(conv2d_v1_2::CreateModel_1_H3_W2_SAME_nhwc_relaxed,
conv2d_v1_2::is_ignored_1_H3_W2_SAME_nhwc_relaxed,
- conv2d_v1_2::examples_1_H3_W2_SAME_nhwc_relaxed);
+ conv2d_v1_2::get_examples_1_H3_W2_SAME_nhwc_relaxed());
}
TEST_F(GeneratedTests, conv2d_v1_2_1_H3_W2_SAME_nchw) {
execute(conv2d_v1_2::CreateModel_1_H3_W2_SAME_nchw,
conv2d_v1_2::is_ignored_1_H3_W2_SAME_nchw,
- conv2d_v1_2::examples_1_H3_W2_SAME_nchw);
+ conv2d_v1_2::get_examples_1_H3_W2_SAME_nchw());
}
TEST_F(GeneratedTests, conv2d_v1_2_1_H3_W2_SAME_nchw_relaxed) {
execute(conv2d_v1_2::CreateModel_1_H3_W2_SAME_nchw_relaxed,
conv2d_v1_2::is_ignored_1_H3_W2_SAME_nchw_relaxed,
- conv2d_v1_2::examples_1_H3_W2_SAME_nchw_relaxed);
+ conv2d_v1_2::get_examples_1_H3_W2_SAME_nchw_relaxed());
}
TEST_F(GeneratedTests, conv2d_v1_2_1_H3_W2_VALID_nhwc) {
execute(conv2d_v1_2::CreateModel_1_H3_W2_VALID_nhwc,
conv2d_v1_2::is_ignored_1_H3_W2_VALID_nhwc,
- conv2d_v1_2::examples_1_H3_W2_VALID_nhwc);
+ conv2d_v1_2::get_examples_1_H3_W2_VALID_nhwc());
}
TEST_F(GeneratedTests, conv2d_v1_2_1_H3_W2_VALID_nhwc_relaxed) {
execute(conv2d_v1_2::CreateModel_1_H3_W2_VALID_nhwc_relaxed,
conv2d_v1_2::is_ignored_1_H3_W2_VALID_nhwc_relaxed,
- conv2d_v1_2::examples_1_H3_W2_VALID_nhwc_relaxed);
+ conv2d_v1_2::get_examples_1_H3_W2_VALID_nhwc_relaxed());
}
TEST_F(GeneratedTests, conv2d_v1_2_1_H3_W2_VALID_nchw) {
execute(conv2d_v1_2::CreateModel_1_H3_W2_VALID_nchw,
conv2d_v1_2::is_ignored_1_H3_W2_VALID_nchw,
- conv2d_v1_2::examples_1_H3_W2_VALID_nchw);
+ conv2d_v1_2::get_examples_1_H3_W2_VALID_nchw());
}
TEST_F(GeneratedTests, conv2d_v1_2_1_H3_W2_VALID_nchw_relaxed) {
execute(conv2d_v1_2::CreateModel_1_H3_W2_VALID_nchw_relaxed,
conv2d_v1_2::is_ignored_1_H3_W2_VALID_nchw_relaxed,
- conv2d_v1_2::examples_1_H3_W2_VALID_nchw_relaxed);
+ conv2d_v1_2::get_examples_1_H3_W2_VALID_nchw_relaxed());
}
TEST_F(GeneratedTests, conv2d_v1_2_3_H3_W2_SAME_nhwc) {
execute(conv2d_v1_2::CreateModel_3_H3_W2_SAME_nhwc,
conv2d_v1_2::is_ignored_3_H3_W2_SAME_nhwc,
- conv2d_v1_2::examples_3_H3_W2_SAME_nhwc);
+ conv2d_v1_2::get_examples_3_H3_W2_SAME_nhwc());
}
TEST_F(GeneratedTests, conv2d_v1_2_3_H3_W2_SAME_nhwc_relaxed) {
execute(conv2d_v1_2::CreateModel_3_H3_W2_SAME_nhwc_relaxed,
conv2d_v1_2::is_ignored_3_H3_W2_SAME_nhwc_relaxed,
- conv2d_v1_2::examples_3_H3_W2_SAME_nhwc_relaxed);
+ conv2d_v1_2::get_examples_3_H3_W2_SAME_nhwc_relaxed());
}
TEST_F(GeneratedTests, conv2d_v1_2_3_H3_W2_SAME_nchw) {
execute(conv2d_v1_2::CreateModel_3_H3_W2_SAME_nchw,
conv2d_v1_2::is_ignored_3_H3_W2_SAME_nchw,
- conv2d_v1_2::examples_3_H3_W2_SAME_nchw);
+ conv2d_v1_2::get_examples_3_H3_W2_SAME_nchw());
}
TEST_F(GeneratedTests, conv2d_v1_2_3_H3_W2_SAME_nchw_relaxed) {
execute(conv2d_v1_2::CreateModel_3_H3_W2_SAME_nchw_relaxed,
conv2d_v1_2::is_ignored_3_H3_W2_SAME_nchw_relaxed,
- conv2d_v1_2::examples_3_H3_W2_SAME_nchw_relaxed);
+ conv2d_v1_2::get_examples_3_H3_W2_SAME_nchw_relaxed());
}
TEST_F(GeneratedTests, conv2d_v1_2_3_H3_W2_VALID_nhwc) {
execute(conv2d_v1_2::CreateModel_3_H3_W2_VALID_nhwc,
conv2d_v1_2::is_ignored_3_H3_W2_VALID_nhwc,
- conv2d_v1_2::examples_3_H3_W2_VALID_nhwc);
+ conv2d_v1_2::get_examples_3_H3_W2_VALID_nhwc());
}
TEST_F(GeneratedTests, conv2d_v1_2_3_H3_W2_VALID_nhwc_relaxed) {
execute(conv2d_v1_2::CreateModel_3_H3_W2_VALID_nhwc_relaxed,
conv2d_v1_2::is_ignored_3_H3_W2_VALID_nhwc_relaxed,
- conv2d_v1_2::examples_3_H3_W2_VALID_nhwc_relaxed);
+ conv2d_v1_2::get_examples_3_H3_W2_VALID_nhwc_relaxed());
}
TEST_F(GeneratedTests, conv2d_v1_2_3_H3_W2_VALID_nchw) {
execute(conv2d_v1_2::CreateModel_3_H3_W2_VALID_nchw,
conv2d_v1_2::is_ignored_3_H3_W2_VALID_nchw,
- conv2d_v1_2::examples_3_H3_W2_VALID_nchw);
+ conv2d_v1_2::get_examples_3_H3_W2_VALID_nchw());
}
TEST_F(GeneratedTests, conv2d_v1_2_3_H3_W2_VALID_nchw_relaxed) {
execute(conv2d_v1_2::CreateModel_3_H3_W2_VALID_nchw_relaxed,
conv2d_v1_2::is_ignored_3_H3_W2_VALID_nchw_relaxed,
- conv2d_v1_2::examples_3_H3_W2_VALID_nchw_relaxed);
+ conv2d_v1_2::get_examples_3_H3_W2_VALID_nchw_relaxed());
}
diff --git a/nn/runtime/test/generated/tests/conv_1_h3_w2_SAME.mod.py.cpp b/nn/runtime/test/generated/tests/conv_1_h3_w2_SAME.mod.py.cpp
index d46c9e7..936b62e 100644
--- a/nn/runtime/test/generated/tests/conv_1_h3_w2_SAME.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/conv_1_h3_w2_SAME.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, conv_1_h3_w2_SAME) {
execute(conv_1_h3_w2_SAME::CreateModel,
conv_1_h3_w2_SAME::is_ignored,
- conv_1_h3_w2_SAME::examples);
+ conv_1_h3_w2_SAME::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/conv_1_h3_w2_SAME_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/conv_1_h3_w2_SAME_relaxed.mod.py.cpp
index 0a784ad..733fd5b 100644
--- a/nn/runtime/test/generated/tests/conv_1_h3_w2_SAME_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/conv_1_h3_w2_SAME_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, conv_1_h3_w2_SAME_relaxed) {
execute(conv_1_h3_w2_SAME_relaxed::CreateModel,
conv_1_h3_w2_SAME_relaxed::is_ignored,
- conv_1_h3_w2_SAME_relaxed::examples);
+ conv_1_h3_w2_SAME_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/conv_1_h3_w2_VALID.mod.py.cpp b/nn/runtime/test/generated/tests/conv_1_h3_w2_VALID.mod.py.cpp
index 8538702..d53fbbf 100644
--- a/nn/runtime/test/generated/tests/conv_1_h3_w2_VALID.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/conv_1_h3_w2_VALID.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, conv_1_h3_w2_VALID) {
execute(conv_1_h3_w2_VALID::CreateModel,
conv_1_h3_w2_VALID::is_ignored,
- conv_1_h3_w2_VALID::examples);
+ conv_1_h3_w2_VALID::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/conv_1_h3_w2_VALID_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/conv_1_h3_w2_VALID_relaxed.mod.py.cpp
index eea38e0..ab3b453 100644
--- a/nn/runtime/test/generated/tests/conv_1_h3_w2_VALID_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/conv_1_h3_w2_VALID_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, conv_1_h3_w2_VALID_relaxed) {
execute(conv_1_h3_w2_VALID_relaxed::CreateModel,
conv_1_h3_w2_VALID_relaxed::is_ignored,
- conv_1_h3_w2_VALID_relaxed::examples);
+ conv_1_h3_w2_VALID_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/conv_3_h3_w2_SAME.mod.py.cpp b/nn/runtime/test/generated/tests/conv_3_h3_w2_SAME.mod.py.cpp
index d9c1e64..f940045 100644
--- a/nn/runtime/test/generated/tests/conv_3_h3_w2_SAME.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/conv_3_h3_w2_SAME.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, conv_3_h3_w2_SAME) {
execute(conv_3_h3_w2_SAME::CreateModel,
conv_3_h3_w2_SAME::is_ignored,
- conv_3_h3_w2_SAME::examples);
+ conv_3_h3_w2_SAME::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/conv_3_h3_w2_SAME_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/conv_3_h3_w2_SAME_relaxed.mod.py.cpp
index a9d251a..91bc56b 100644
--- a/nn/runtime/test/generated/tests/conv_3_h3_w2_SAME_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/conv_3_h3_w2_SAME_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, conv_3_h3_w2_SAME_relaxed) {
execute(conv_3_h3_w2_SAME_relaxed::CreateModel,
conv_3_h3_w2_SAME_relaxed::is_ignored,
- conv_3_h3_w2_SAME_relaxed::examples);
+ conv_3_h3_w2_SAME_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/conv_3_h3_w2_VALID.mod.py.cpp b/nn/runtime/test/generated/tests/conv_3_h3_w2_VALID.mod.py.cpp
index f2769a1..855838a 100644
--- a/nn/runtime/test/generated/tests/conv_3_h3_w2_VALID.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/conv_3_h3_w2_VALID.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, conv_3_h3_w2_VALID) {
execute(conv_3_h3_w2_VALID::CreateModel,
conv_3_h3_w2_VALID::is_ignored,
- conv_3_h3_w2_VALID::examples);
+ conv_3_h3_w2_VALID::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/conv_3_h3_w2_VALID_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/conv_3_h3_w2_VALID_relaxed.mod.py.cpp
index 5440573..0f9bbbe 100644
--- a/nn/runtime/test/generated/tests/conv_3_h3_w2_VALID_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/conv_3_h3_w2_VALID_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, conv_3_h3_w2_VALID_relaxed) {
execute(conv_3_h3_w2_VALID_relaxed::CreateModel,
conv_3_h3_w2_VALID_relaxed::is_ignored,
- conv_3_h3_w2_VALID_relaxed::examples);
+ conv_3_h3_w2_VALID_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/conv_float.mod.py.cpp b/nn/runtime/test/generated/tests/conv_float.mod.py.cpp
index ad9f038..2a5915f 100644
--- a/nn/runtime/test/generated/tests/conv_float.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/conv_float.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, conv_float) {
execute(conv_float::CreateModel,
conv_float::is_ignored,
- conv_float::examples);
+ conv_float::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/conv_float_2.mod.py.cpp b/nn/runtime/test/generated/tests/conv_float_2.mod.py.cpp
index d7c18ad..4ad3482 100644
--- a/nn/runtime/test/generated/tests/conv_float_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/conv_float_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, conv_float_2) {
execute(conv_float_2::CreateModel,
conv_float_2::is_ignored,
- conv_float_2::examples);
+ conv_float_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/conv_float_2_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/conv_float_2_relaxed.mod.py.cpp
index 0a9bf3d..e2f2624 100644
--- a/nn/runtime/test/generated/tests/conv_float_2_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/conv_float_2_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, conv_float_2_relaxed) {
execute(conv_float_2_relaxed::CreateModel,
conv_float_2_relaxed::is_ignored,
- conv_float_2_relaxed::examples);
+ conv_float_2_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/conv_float_channels.mod.py.cpp b/nn/runtime/test/generated/tests/conv_float_channels.mod.py.cpp
index 75c48b4..90281fb 100644
--- a/nn/runtime/test/generated/tests/conv_float_channels.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/conv_float_channels.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, conv_float_channels) {
execute(conv_float_channels::CreateModel,
conv_float_channels::is_ignored,
- conv_float_channels::examples);
+ conv_float_channels::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/conv_float_channels_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/conv_float_channels_relaxed.mod.py.cpp
index c360269..db131de 100644
--- a/nn/runtime/test/generated/tests/conv_float_channels_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/conv_float_channels_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, conv_float_channels_relaxed) {
execute(conv_float_channels_relaxed::CreateModel,
conv_float_channels_relaxed::is_ignored,
- conv_float_channels_relaxed::examples);
+ conv_float_channels_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/conv_float_channels_weights_as_inputs.mod.py.cpp b/nn/runtime/test/generated/tests/conv_float_channels_weights_as_inputs.mod.py.cpp
index aa33ac8..bec1465 100644
--- a/nn/runtime/test/generated/tests/conv_float_channels_weights_as_inputs.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/conv_float_channels_weights_as_inputs.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, conv_float_channels_weights_as_inputs) {
execute(conv_float_channels_weights_as_inputs::CreateModel,
conv_float_channels_weights_as_inputs::is_ignored,
- conv_float_channels_weights_as_inputs::examples);
+ conv_float_channels_weights_as_inputs::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/conv_float_channels_weights_as_inputs_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/conv_float_channels_weights_as_inputs_relaxed.mod.py.cpp
index 713b5ad..f44b450 100644
--- a/nn/runtime/test/generated/tests/conv_float_channels_weights_as_inputs_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/conv_float_channels_weights_as_inputs_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, conv_float_channels_weights_as_inputs_relaxed) {
execute(conv_float_channels_weights_as_inputs_relaxed::CreateModel,
conv_float_channels_weights_as_inputs_relaxed::is_ignored,
- conv_float_channels_weights_as_inputs_relaxed::examples);
+ conv_float_channels_weights_as_inputs_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/conv_float_large.mod.py.cpp b/nn/runtime/test/generated/tests/conv_float_large.mod.py.cpp
index d4c8d96..e0bd2bd 100644
--- a/nn/runtime/test/generated/tests/conv_float_large.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/conv_float_large.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, conv_float_large) {
execute(conv_float_large::CreateModel,
conv_float_large::is_ignored,
- conv_float_large::examples);
+ conv_float_large::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/conv_float_large_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/conv_float_large_relaxed.mod.py.cpp
index be79a56..f0e9bbe 100644
--- a/nn/runtime/test/generated/tests/conv_float_large_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/conv_float_large_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, conv_float_large_relaxed) {
execute(conv_float_large_relaxed::CreateModel,
conv_float_large_relaxed::is_ignored,
- conv_float_large_relaxed::examples);
+ conv_float_large_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/conv_float_large_weights_as_inputs.mod.py.cpp b/nn/runtime/test/generated/tests/conv_float_large_weights_as_inputs.mod.py.cpp
index f53c302..ebda572 100644
--- a/nn/runtime/test/generated/tests/conv_float_large_weights_as_inputs.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/conv_float_large_weights_as_inputs.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, conv_float_large_weights_as_inputs) {
execute(conv_float_large_weights_as_inputs::CreateModel,
conv_float_large_weights_as_inputs::is_ignored,
- conv_float_large_weights_as_inputs::examples);
+ conv_float_large_weights_as_inputs::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/conv_float_large_weights_as_inputs_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/conv_float_large_weights_as_inputs_relaxed.mod.py.cpp
index ecf8e34..333a3f6 100644
--- a/nn/runtime/test/generated/tests/conv_float_large_weights_as_inputs_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/conv_float_large_weights_as_inputs_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, conv_float_large_weights_as_inputs_relaxed) {
execute(conv_float_large_weights_as_inputs_relaxed::CreateModel,
conv_float_large_weights_as_inputs_relaxed::is_ignored,
- conv_float_large_weights_as_inputs_relaxed::examples);
+ conv_float_large_weights_as_inputs_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/conv_float_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/conv_float_relaxed.mod.py.cpp
index cd4a38f..2b964d7 100644
--- a/nn/runtime/test/generated/tests/conv_float_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/conv_float_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, conv_float_relaxed) {
execute(conv_float_relaxed::CreateModel,
conv_float_relaxed::is_ignored,
- conv_float_relaxed::examples);
+ conv_float_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/conv_float_weights_as_inputs.mod.py.cpp b/nn/runtime/test/generated/tests/conv_float_weights_as_inputs.mod.py.cpp
index 70a8250..e4c530f 100644
--- a/nn/runtime/test/generated/tests/conv_float_weights_as_inputs.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/conv_float_weights_as_inputs.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, conv_float_weights_as_inputs) {
execute(conv_float_weights_as_inputs::CreateModel,
conv_float_weights_as_inputs::is_ignored,
- conv_float_weights_as_inputs::examples);
+ conv_float_weights_as_inputs::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/conv_float_weights_as_inputs_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/conv_float_weights_as_inputs_relaxed.mod.py.cpp
index de8106d..efe7209 100644
--- a/nn/runtime/test/generated/tests/conv_float_weights_as_inputs_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/conv_float_weights_as_inputs_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, conv_float_weights_as_inputs_relaxed) {
execute(conv_float_weights_as_inputs_relaxed::CreateModel,
conv_float_weights_as_inputs_relaxed::is_ignored,
- conv_float_weights_as_inputs_relaxed::examples);
+ conv_float_weights_as_inputs_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/conv_quant8.mod.py.cpp b/nn/runtime/test/generated/tests/conv_quant8.mod.py.cpp
index c390c82..67c32f9 100644
--- a/nn/runtime/test/generated/tests/conv_quant8.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/conv_quant8.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, conv_quant8) {
execute(conv_quant8::CreateModel,
conv_quant8::is_ignored,
- conv_quant8::examples);
+ conv_quant8::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/conv_quant8_2.mod.py.cpp b/nn/runtime/test/generated/tests/conv_quant8_2.mod.py.cpp
index 1431928..4c736ee 100644
--- a/nn/runtime/test/generated/tests/conv_quant8_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/conv_quant8_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, conv_quant8_2) {
execute(conv_quant8_2::CreateModel,
conv_quant8_2::is_ignored,
- conv_quant8_2::examples);
+ conv_quant8_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/conv_quant8_channels.mod.py.cpp b/nn/runtime/test/generated/tests/conv_quant8_channels.mod.py.cpp
index 5746829..099012c 100644
--- a/nn/runtime/test/generated/tests/conv_quant8_channels.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/conv_quant8_channels.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, conv_quant8_channels) {
execute(conv_quant8_channels::CreateModel,
conv_quant8_channels::is_ignored,
- conv_quant8_channels::examples);
+ conv_quant8_channels::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/conv_quant8_channels_weights_as_inputs.mod.py.cpp b/nn/runtime/test/generated/tests/conv_quant8_channels_weights_as_inputs.mod.py.cpp
index ec7e763..838fdca 100644
--- a/nn/runtime/test/generated/tests/conv_quant8_channels_weights_as_inputs.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/conv_quant8_channels_weights_as_inputs.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, conv_quant8_channels_weights_as_inputs) {
execute(conv_quant8_channels_weights_as_inputs::CreateModel,
conv_quant8_channels_weights_as_inputs::is_ignored,
- conv_quant8_channels_weights_as_inputs::examples);
+ conv_quant8_channels_weights_as_inputs::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/conv_quant8_large.mod.py.cpp b/nn/runtime/test/generated/tests/conv_quant8_large.mod.py.cpp
index dc42d76..87529cf 100644
--- a/nn/runtime/test/generated/tests/conv_quant8_large.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/conv_quant8_large.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, conv_quant8_large) {
execute(conv_quant8_large::CreateModel,
conv_quant8_large::is_ignored,
- conv_quant8_large::examples);
+ conv_quant8_large::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/conv_quant8_large_weights_as_inputs.mod.py.cpp b/nn/runtime/test/generated/tests/conv_quant8_large_weights_as_inputs.mod.py.cpp
index c088451..7872eca 100644
--- a/nn/runtime/test/generated/tests/conv_quant8_large_weights_as_inputs.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/conv_quant8_large_weights_as_inputs.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, conv_quant8_large_weights_as_inputs) {
execute(conv_quant8_large_weights_as_inputs::CreateModel,
conv_quant8_large_weights_as_inputs::is_ignored,
- conv_quant8_large_weights_as_inputs::examples);
+ conv_quant8_large_weights_as_inputs::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/conv_quant8_overflow.mod.py.cpp b/nn/runtime/test/generated/tests/conv_quant8_overflow.mod.py.cpp
index bb14077..c345a8b 100644
--- a/nn/runtime/test/generated/tests/conv_quant8_overflow.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/conv_quant8_overflow.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, conv_quant8_overflow) {
execute(conv_quant8_overflow::CreateModel,
conv_quant8_overflow::is_ignored,
- conv_quant8_overflow::examples);
+ conv_quant8_overflow::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/conv_quant8_overflow_weights_as_inputs.mod.py.cpp b/nn/runtime/test/generated/tests/conv_quant8_overflow_weights_as_inputs.mod.py.cpp
index bfd5cab..52865a4 100644
--- a/nn/runtime/test/generated/tests/conv_quant8_overflow_weights_as_inputs.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/conv_quant8_overflow_weights_as_inputs.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, conv_quant8_overflow_weights_as_inputs) {
execute(conv_quant8_overflow_weights_as_inputs::CreateModel,
conv_quant8_overflow_weights_as_inputs::is_ignored,
- conv_quant8_overflow_weights_as_inputs::examples);
+ conv_quant8_overflow_weights_as_inputs::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/conv_quant8_weights_as_inputs.mod.py.cpp b/nn/runtime/test/generated/tests/conv_quant8_weights_as_inputs.mod.py.cpp
index 9641f93..93d8772 100644
--- a/nn/runtime/test/generated/tests/conv_quant8_weights_as_inputs.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/conv_quant8_weights_as_inputs.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, conv_quant8_weights_as_inputs) {
execute(conv_quant8_weights_as_inputs::CreateModel,
conv_quant8_weights_as_inputs::is_ignored,
- conv_quant8_weights_as_inputs::examples);
+ conv_quant8_weights_as_inputs::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/depth_to_space_float_1.mod.py.cpp b/nn/runtime/test/generated/tests/depth_to_space_float_1.mod.py.cpp
index da3f956..55db680 100644
--- a/nn/runtime/test/generated/tests/depth_to_space_float_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/depth_to_space_float_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, depth_to_space_float_1) {
execute(depth_to_space_float_1::CreateModel,
depth_to_space_float_1::is_ignored,
- depth_to_space_float_1::examples);
+ depth_to_space_float_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/depth_to_space_float_1_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/depth_to_space_float_1_relaxed.mod.py.cpp
index ba8b9e7..47890d4 100644
--- a/nn/runtime/test/generated/tests/depth_to_space_float_1_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/depth_to_space_float_1_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, depth_to_space_float_1_relaxed) {
execute(depth_to_space_float_1_relaxed::CreateModel,
depth_to_space_float_1_relaxed::is_ignored,
- depth_to_space_float_1_relaxed::examples);
+ depth_to_space_float_1_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/depth_to_space_float_2.mod.py.cpp b/nn/runtime/test/generated/tests/depth_to_space_float_2.mod.py.cpp
index 2514e80..53eda6d 100644
--- a/nn/runtime/test/generated/tests/depth_to_space_float_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/depth_to_space_float_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, depth_to_space_float_2) {
execute(depth_to_space_float_2::CreateModel,
depth_to_space_float_2::is_ignored,
- depth_to_space_float_2::examples);
+ depth_to_space_float_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/depth_to_space_float_2_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/depth_to_space_float_2_relaxed.mod.py.cpp
index 23b0015..125b70e 100644
--- a/nn/runtime/test/generated/tests/depth_to_space_float_2_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/depth_to_space_float_2_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, depth_to_space_float_2_relaxed) {
execute(depth_to_space_float_2_relaxed::CreateModel,
depth_to_space_float_2_relaxed::is_ignored,
- depth_to_space_float_2_relaxed::examples);
+ depth_to_space_float_2_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/depth_to_space_float_3.mod.py.cpp b/nn/runtime/test/generated/tests/depth_to_space_float_3.mod.py.cpp
index 06384f9..b57cf3d 100644
--- a/nn/runtime/test/generated/tests/depth_to_space_float_3.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/depth_to_space_float_3.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, depth_to_space_float_3) {
execute(depth_to_space_float_3::CreateModel,
depth_to_space_float_3::is_ignored,
- depth_to_space_float_3::examples);
+ depth_to_space_float_3::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/depth_to_space_float_3_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/depth_to_space_float_3_relaxed.mod.py.cpp
index 40ba8e2..c0c5424 100644
--- a/nn/runtime/test/generated/tests/depth_to_space_float_3_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/depth_to_space_float_3_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, depth_to_space_float_3_relaxed) {
execute(depth_to_space_float_3_relaxed::CreateModel,
depth_to_space_float_3_relaxed::is_ignored,
- depth_to_space_float_3_relaxed::examples);
+ depth_to_space_float_3_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/depth_to_space_quant8_1.mod.py.cpp b/nn/runtime/test/generated/tests/depth_to_space_quant8_1.mod.py.cpp
index c412ab0..b082758 100644
--- a/nn/runtime/test/generated/tests/depth_to_space_quant8_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/depth_to_space_quant8_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, depth_to_space_quant8_1) {
execute(depth_to_space_quant8_1::CreateModel,
depth_to_space_quant8_1::is_ignored,
- depth_to_space_quant8_1::examples);
+ depth_to_space_quant8_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/depth_to_space_quant8_2.mod.py.cpp b/nn/runtime/test/generated/tests/depth_to_space_quant8_2.mod.py.cpp
index e989470..a1c4538 100644
--- a/nn/runtime/test/generated/tests/depth_to_space_quant8_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/depth_to_space_quant8_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, depth_to_space_quant8_2) {
execute(depth_to_space_quant8_2::CreateModel,
depth_to_space_quant8_2::is_ignored,
- depth_to_space_quant8_2::examples);
+ depth_to_space_quant8_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/depth_to_space_v1_2.mod.py.cpp b/nn/runtime/test/generated/tests/depth_to_space_v1_2.mod.py.cpp
index 93e6a41..55bd07c 100644
--- a/nn/runtime/test/generated/tests/depth_to_space_v1_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/depth_to_space_v1_2.mod.py.cpp
@@ -12,108 +12,144 @@
TEST_F(GeneratedTests, depth_to_space_v1_2_nhwc) {
execute(depth_to_space_v1_2::CreateModel_nhwc,
depth_to_space_v1_2::is_ignored_nhwc,
- depth_to_space_v1_2::examples_nhwc);
+ depth_to_space_v1_2::get_examples_nhwc());
}
TEST_F(GeneratedTests, depth_to_space_v1_2_nhwc_relaxed) {
execute(depth_to_space_v1_2::CreateModel_nhwc_relaxed,
depth_to_space_v1_2::is_ignored_nhwc_relaxed,
- depth_to_space_v1_2::examples_nhwc_relaxed);
+ depth_to_space_v1_2::get_examples_nhwc_relaxed());
+}
+
+TEST_F(GeneratedTests, depth_to_space_v1_2_nhwc_float16) {
+ execute(depth_to_space_v1_2::CreateModel_nhwc_float16,
+ depth_to_space_v1_2::is_ignored_nhwc_float16,
+ depth_to_space_v1_2::get_examples_nhwc_float16());
}
TEST_F(GeneratedTests, depth_to_space_v1_2_nhwc_quant8) {
execute(depth_to_space_v1_2::CreateModel_nhwc_quant8,
depth_to_space_v1_2::is_ignored_nhwc_quant8,
- depth_to_space_v1_2::examples_nhwc_quant8);
+ depth_to_space_v1_2::get_examples_nhwc_quant8());
}
TEST_F(GeneratedTests, depth_to_space_v1_2_nchw) {
execute(depth_to_space_v1_2::CreateModel_nchw,
depth_to_space_v1_2::is_ignored_nchw,
- depth_to_space_v1_2::examples_nchw);
+ depth_to_space_v1_2::get_examples_nchw());
}
TEST_F(GeneratedTests, depth_to_space_v1_2_nchw_relaxed) {
execute(depth_to_space_v1_2::CreateModel_nchw_relaxed,
depth_to_space_v1_2::is_ignored_nchw_relaxed,
- depth_to_space_v1_2::examples_nchw_relaxed);
+ depth_to_space_v1_2::get_examples_nchw_relaxed());
+}
+
+TEST_F(GeneratedTests, depth_to_space_v1_2_nchw_float16) {
+ execute(depth_to_space_v1_2::CreateModel_nchw_float16,
+ depth_to_space_v1_2::is_ignored_nchw_float16,
+ depth_to_space_v1_2::get_examples_nchw_float16());
}
TEST_F(GeneratedTests, depth_to_space_v1_2_nchw_quant8) {
execute(depth_to_space_v1_2::CreateModel_nchw_quant8,
depth_to_space_v1_2::is_ignored_nchw_quant8,
- depth_to_space_v1_2::examples_nchw_quant8);
+ depth_to_space_v1_2::get_examples_nchw_quant8());
}
TEST_F(GeneratedTests, depth_to_space_v1_2_nhwc_2) {
execute(depth_to_space_v1_2::CreateModel_nhwc_2,
depth_to_space_v1_2::is_ignored_nhwc_2,
- depth_to_space_v1_2::examples_nhwc_2);
+ depth_to_space_v1_2::get_examples_nhwc_2());
}
TEST_F(GeneratedTests, depth_to_space_v1_2_nhwc_relaxed_2) {
execute(depth_to_space_v1_2::CreateModel_nhwc_relaxed_2,
depth_to_space_v1_2::is_ignored_nhwc_relaxed_2,
- depth_to_space_v1_2::examples_nhwc_relaxed_2);
+ depth_to_space_v1_2::get_examples_nhwc_relaxed_2());
+}
+
+TEST_F(GeneratedTests, depth_to_space_v1_2_nhwc_float16_2) {
+ execute(depth_to_space_v1_2::CreateModel_nhwc_float16_2,
+ depth_to_space_v1_2::is_ignored_nhwc_float16_2,
+ depth_to_space_v1_2::get_examples_nhwc_float16_2());
}
TEST_F(GeneratedTests, depth_to_space_v1_2_nhwc_quant8_2) {
execute(depth_to_space_v1_2::CreateModel_nhwc_quant8_2,
depth_to_space_v1_2::is_ignored_nhwc_quant8_2,
- depth_to_space_v1_2::examples_nhwc_quant8_2);
+ depth_to_space_v1_2::get_examples_nhwc_quant8_2());
}
TEST_F(GeneratedTests, depth_to_space_v1_2_nchw_2) {
execute(depth_to_space_v1_2::CreateModel_nchw_2,
depth_to_space_v1_2::is_ignored_nchw_2,
- depth_to_space_v1_2::examples_nchw_2);
+ depth_to_space_v1_2::get_examples_nchw_2());
}
TEST_F(GeneratedTests, depth_to_space_v1_2_nchw_relaxed_2) {
execute(depth_to_space_v1_2::CreateModel_nchw_relaxed_2,
depth_to_space_v1_2::is_ignored_nchw_relaxed_2,
- depth_to_space_v1_2::examples_nchw_relaxed_2);
+ depth_to_space_v1_2::get_examples_nchw_relaxed_2());
+}
+
+TEST_F(GeneratedTests, depth_to_space_v1_2_nchw_float16_2) {
+ execute(depth_to_space_v1_2::CreateModel_nchw_float16_2,
+ depth_to_space_v1_2::is_ignored_nchw_float16_2,
+ depth_to_space_v1_2::get_examples_nchw_float16_2());
}
TEST_F(GeneratedTests, depth_to_space_v1_2_nchw_quant8_2) {
execute(depth_to_space_v1_2::CreateModel_nchw_quant8_2,
depth_to_space_v1_2::is_ignored_nchw_quant8_2,
- depth_to_space_v1_2::examples_nchw_quant8_2);
+ depth_to_space_v1_2::get_examples_nchw_quant8_2());
}
TEST_F(GeneratedTests, depth_to_space_v1_2_nhwc_3) {
execute(depth_to_space_v1_2::CreateModel_nhwc_3,
depth_to_space_v1_2::is_ignored_nhwc_3,
- depth_to_space_v1_2::examples_nhwc_3);
+ depth_to_space_v1_2::get_examples_nhwc_3());
}
TEST_F(GeneratedTests, depth_to_space_v1_2_nhwc_relaxed_3) {
execute(depth_to_space_v1_2::CreateModel_nhwc_relaxed_3,
depth_to_space_v1_2::is_ignored_nhwc_relaxed_3,
- depth_to_space_v1_2::examples_nhwc_relaxed_3);
+ depth_to_space_v1_2::get_examples_nhwc_relaxed_3());
+}
+
+TEST_F(GeneratedTests, depth_to_space_v1_2_nhwc_float16_3) {
+ execute(depth_to_space_v1_2::CreateModel_nhwc_float16_3,
+ depth_to_space_v1_2::is_ignored_nhwc_float16_3,
+ depth_to_space_v1_2::get_examples_nhwc_float16_3());
}
TEST_F(GeneratedTests, depth_to_space_v1_2_nhwc_quant8_3) {
execute(depth_to_space_v1_2::CreateModel_nhwc_quant8_3,
depth_to_space_v1_2::is_ignored_nhwc_quant8_3,
- depth_to_space_v1_2::examples_nhwc_quant8_3);
+ depth_to_space_v1_2::get_examples_nhwc_quant8_3());
}
TEST_F(GeneratedTests, depth_to_space_v1_2_nchw_3) {
execute(depth_to_space_v1_2::CreateModel_nchw_3,
depth_to_space_v1_2::is_ignored_nchw_3,
- depth_to_space_v1_2::examples_nchw_3);
+ depth_to_space_v1_2::get_examples_nchw_3());
}
TEST_F(GeneratedTests, depth_to_space_v1_2_nchw_relaxed_3) {
execute(depth_to_space_v1_2::CreateModel_nchw_relaxed_3,
depth_to_space_v1_2::is_ignored_nchw_relaxed_3,
- depth_to_space_v1_2::examples_nchw_relaxed_3);
+ depth_to_space_v1_2::get_examples_nchw_relaxed_3());
+}
+
+TEST_F(GeneratedTests, depth_to_space_v1_2_nchw_float16_3) {
+ execute(depth_to_space_v1_2::CreateModel_nchw_float16_3,
+ depth_to_space_v1_2::is_ignored_nchw_float16_3,
+ depth_to_space_v1_2::get_examples_nchw_float16_3());
}
TEST_F(GeneratedTests, depth_to_space_v1_2_nchw_quant8_3) {
execute(depth_to_space_v1_2::CreateModel_nchw_quant8_3,
depth_to_space_v1_2::is_ignored_nchw_quant8_3,
- depth_to_space_v1_2::examples_nchw_quant8_3);
+ depth_to_space_v1_2::get_examples_nchw_quant8_3());
}
diff --git a/nn/runtime/test/generated/tests/depthwise_conv.mod.py.cpp b/nn/runtime/test/generated/tests/depthwise_conv.mod.py.cpp
index 9ed8b98..bbe4699 100644
--- a/nn/runtime/test/generated/tests/depthwise_conv.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/depthwise_conv.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, depthwise_conv) {
execute(depthwise_conv::CreateModel,
depthwise_conv::is_ignored,
- depthwise_conv::examples);
+ depthwise_conv::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/depthwise_conv2d_float.mod.py.cpp b/nn/runtime/test/generated/tests/depthwise_conv2d_float.mod.py.cpp
index 90c01bb..d45266f 100644
--- a/nn/runtime/test/generated/tests/depthwise_conv2d_float.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/depthwise_conv2d_float.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, depthwise_conv2d_float) {
execute(depthwise_conv2d_float::CreateModel,
depthwise_conv2d_float::is_ignored,
- depthwise_conv2d_float::examples);
+ depthwise_conv2d_float::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/depthwise_conv2d_float_2.mod.py.cpp b/nn/runtime/test/generated/tests/depthwise_conv2d_float_2.mod.py.cpp
index 242744e..4d416ce 100644
--- a/nn/runtime/test/generated/tests/depthwise_conv2d_float_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/depthwise_conv2d_float_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, depthwise_conv2d_float_2) {
execute(depthwise_conv2d_float_2::CreateModel,
depthwise_conv2d_float_2::is_ignored,
- depthwise_conv2d_float_2::examples);
+ depthwise_conv2d_float_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/depthwise_conv2d_float_2_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/depthwise_conv2d_float_2_relaxed.mod.py.cpp
index cdd8e40..f9acf07 100644
--- a/nn/runtime/test/generated/tests/depthwise_conv2d_float_2_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/depthwise_conv2d_float_2_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, depthwise_conv2d_float_2_relaxed) {
execute(depthwise_conv2d_float_2_relaxed::CreateModel,
depthwise_conv2d_float_2_relaxed::is_ignored,
- depthwise_conv2d_float_2_relaxed::examples);
+ depthwise_conv2d_float_2_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/depthwise_conv2d_float_large.mod.py.cpp b/nn/runtime/test/generated/tests/depthwise_conv2d_float_large.mod.py.cpp
index 898b30a..dac43a2 100644
--- a/nn/runtime/test/generated/tests/depthwise_conv2d_float_large.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/depthwise_conv2d_float_large.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, depthwise_conv2d_float_large) {
execute(depthwise_conv2d_float_large::CreateModel,
depthwise_conv2d_float_large::is_ignored,
- depthwise_conv2d_float_large::examples);
+ depthwise_conv2d_float_large::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/depthwise_conv2d_float_large_2.mod.py.cpp b/nn/runtime/test/generated/tests/depthwise_conv2d_float_large_2.mod.py.cpp
index 6f5e61c..46a7e1e 100644
--- a/nn/runtime/test/generated/tests/depthwise_conv2d_float_large_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/depthwise_conv2d_float_large_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, depthwise_conv2d_float_large_2) {
execute(depthwise_conv2d_float_large_2::CreateModel,
depthwise_conv2d_float_large_2::is_ignored,
- depthwise_conv2d_float_large_2::examples);
+ depthwise_conv2d_float_large_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/depthwise_conv2d_float_large_2_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/depthwise_conv2d_float_large_2_relaxed.mod.py.cpp
index ca554a3..6f04298 100644
--- a/nn/runtime/test/generated/tests/depthwise_conv2d_float_large_2_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/depthwise_conv2d_float_large_2_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, depthwise_conv2d_float_large_2_relaxed) {
execute(depthwise_conv2d_float_large_2_relaxed::CreateModel,
depthwise_conv2d_float_large_2_relaxed::is_ignored,
- depthwise_conv2d_float_large_2_relaxed::examples);
+ depthwise_conv2d_float_large_2_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/depthwise_conv2d_float_large_2_weights_as_inputs.mod.py.cpp b/nn/runtime/test/generated/tests/depthwise_conv2d_float_large_2_weights_as_inputs.mod.py.cpp
index 34a74ac..f7da4dd 100644
--- a/nn/runtime/test/generated/tests/depthwise_conv2d_float_large_2_weights_as_inputs.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/depthwise_conv2d_float_large_2_weights_as_inputs.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, depthwise_conv2d_float_large_2_weights_as_inputs) {
execute(depthwise_conv2d_float_large_2_weights_as_inputs::CreateModel,
depthwise_conv2d_float_large_2_weights_as_inputs::is_ignored,
- depthwise_conv2d_float_large_2_weights_as_inputs::examples);
+ depthwise_conv2d_float_large_2_weights_as_inputs::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/depthwise_conv2d_float_large_2_weights_as_inputs_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/depthwise_conv2d_float_large_2_weights_as_inputs_relaxed.mod.py.cpp
index 57ca9e2..e727b70 100644
--- a/nn/runtime/test/generated/tests/depthwise_conv2d_float_large_2_weights_as_inputs_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/depthwise_conv2d_float_large_2_weights_as_inputs_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, depthwise_conv2d_float_large_2_weights_as_inputs_relaxed) {
execute(depthwise_conv2d_float_large_2_weights_as_inputs_relaxed::CreateModel,
depthwise_conv2d_float_large_2_weights_as_inputs_relaxed::is_ignored,
- depthwise_conv2d_float_large_2_weights_as_inputs_relaxed::examples);
+ depthwise_conv2d_float_large_2_weights_as_inputs_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/depthwise_conv2d_float_large_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/depthwise_conv2d_float_large_relaxed.mod.py.cpp
index 1f45be5..12f5248 100644
--- a/nn/runtime/test/generated/tests/depthwise_conv2d_float_large_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/depthwise_conv2d_float_large_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, depthwise_conv2d_float_large_relaxed) {
execute(depthwise_conv2d_float_large_relaxed::CreateModel,
depthwise_conv2d_float_large_relaxed::is_ignored,
- depthwise_conv2d_float_large_relaxed::examples);
+ depthwise_conv2d_float_large_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/depthwise_conv2d_float_large_weights_as_inputs.mod.py.cpp b/nn/runtime/test/generated/tests/depthwise_conv2d_float_large_weights_as_inputs.mod.py.cpp
index 0201026..f153aeb 100644
--- a/nn/runtime/test/generated/tests/depthwise_conv2d_float_large_weights_as_inputs.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/depthwise_conv2d_float_large_weights_as_inputs.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, depthwise_conv2d_float_large_weights_as_inputs) {
execute(depthwise_conv2d_float_large_weights_as_inputs::CreateModel,
depthwise_conv2d_float_large_weights_as_inputs::is_ignored,
- depthwise_conv2d_float_large_weights_as_inputs::examples);
+ depthwise_conv2d_float_large_weights_as_inputs::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/depthwise_conv2d_float_large_weights_as_inputs_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/depthwise_conv2d_float_large_weights_as_inputs_relaxed.mod.py.cpp
index 7b8cc80..0d433b5 100644
--- a/nn/runtime/test/generated/tests/depthwise_conv2d_float_large_weights_as_inputs_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/depthwise_conv2d_float_large_weights_as_inputs_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, depthwise_conv2d_float_large_weights_as_inputs_relaxed) {
execute(depthwise_conv2d_float_large_weights_as_inputs_relaxed::CreateModel,
depthwise_conv2d_float_large_weights_as_inputs_relaxed::is_ignored,
- depthwise_conv2d_float_large_weights_as_inputs_relaxed::examples);
+ depthwise_conv2d_float_large_weights_as_inputs_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/depthwise_conv2d_float_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/depthwise_conv2d_float_relaxed.mod.py.cpp
index 482ceff..a9af019 100644
--- a/nn/runtime/test/generated/tests/depthwise_conv2d_float_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/depthwise_conv2d_float_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, depthwise_conv2d_float_relaxed) {
execute(depthwise_conv2d_float_relaxed::CreateModel,
depthwise_conv2d_float_relaxed::is_ignored,
- depthwise_conv2d_float_relaxed::examples);
+ depthwise_conv2d_float_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/depthwise_conv2d_float_weights_as_inputs.mod.py.cpp b/nn/runtime/test/generated/tests/depthwise_conv2d_float_weights_as_inputs.mod.py.cpp
index 8bd1088..8a37b14 100644
--- a/nn/runtime/test/generated/tests/depthwise_conv2d_float_weights_as_inputs.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/depthwise_conv2d_float_weights_as_inputs.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, depthwise_conv2d_float_weights_as_inputs) {
execute(depthwise_conv2d_float_weights_as_inputs::CreateModel,
depthwise_conv2d_float_weights_as_inputs::is_ignored,
- depthwise_conv2d_float_weights_as_inputs::examples);
+ depthwise_conv2d_float_weights_as_inputs::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/depthwise_conv2d_float_weights_as_inputs_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/depthwise_conv2d_float_weights_as_inputs_relaxed.mod.py.cpp
index 96598dd..d017811 100644
--- a/nn/runtime/test/generated/tests/depthwise_conv2d_float_weights_as_inputs_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/depthwise_conv2d_float_weights_as_inputs_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, depthwise_conv2d_float_weights_as_inputs_relaxed) {
execute(depthwise_conv2d_float_weights_as_inputs_relaxed::CreateModel,
depthwise_conv2d_float_weights_as_inputs_relaxed::is_ignored,
- depthwise_conv2d_float_weights_as_inputs_relaxed::examples);
+ depthwise_conv2d_float_weights_as_inputs_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/depthwise_conv2d_quant8.mod.py.cpp b/nn/runtime/test/generated/tests/depthwise_conv2d_quant8.mod.py.cpp
index 681fd75..43c4d9e 100644
--- a/nn/runtime/test/generated/tests/depthwise_conv2d_quant8.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/depthwise_conv2d_quant8.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, depthwise_conv2d_quant8) {
execute(depthwise_conv2d_quant8::CreateModel,
depthwise_conv2d_quant8::is_ignored,
- depthwise_conv2d_quant8::examples);
+ depthwise_conv2d_quant8::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/depthwise_conv2d_quant8_2.mod.py.cpp b/nn/runtime/test/generated/tests/depthwise_conv2d_quant8_2.mod.py.cpp
index b526e37..8621474 100644
--- a/nn/runtime/test/generated/tests/depthwise_conv2d_quant8_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/depthwise_conv2d_quant8_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, depthwise_conv2d_quant8_2) {
execute(depthwise_conv2d_quant8_2::CreateModel,
depthwise_conv2d_quant8_2::is_ignored,
- depthwise_conv2d_quant8_2::examples);
+ depthwise_conv2d_quant8_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/depthwise_conv2d_quant8_large.mod.py.cpp b/nn/runtime/test/generated/tests/depthwise_conv2d_quant8_large.mod.py.cpp
index 9da67db..c7d5b9c 100644
--- a/nn/runtime/test/generated/tests/depthwise_conv2d_quant8_large.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/depthwise_conv2d_quant8_large.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, depthwise_conv2d_quant8_large) {
execute(depthwise_conv2d_quant8_large::CreateModel,
depthwise_conv2d_quant8_large::is_ignored,
- depthwise_conv2d_quant8_large::examples);
+ depthwise_conv2d_quant8_large::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/depthwise_conv2d_quant8_large_weights_as_inputs.mod.py.cpp b/nn/runtime/test/generated/tests/depthwise_conv2d_quant8_large_weights_as_inputs.mod.py.cpp
index a6cf1cb..fd21286 100644
--- a/nn/runtime/test/generated/tests/depthwise_conv2d_quant8_large_weights_as_inputs.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/depthwise_conv2d_quant8_large_weights_as_inputs.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, depthwise_conv2d_quant8_large_weights_as_inputs) {
execute(depthwise_conv2d_quant8_large_weights_as_inputs::CreateModel,
depthwise_conv2d_quant8_large_weights_as_inputs::is_ignored,
- depthwise_conv2d_quant8_large_weights_as_inputs::examples);
+ depthwise_conv2d_quant8_large_weights_as_inputs::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/depthwise_conv2d_quant8_weights_as_inputs.mod.py.cpp b/nn/runtime/test/generated/tests/depthwise_conv2d_quant8_weights_as_inputs.mod.py.cpp
index 73cadf9..d2019a3 100644
--- a/nn/runtime/test/generated/tests/depthwise_conv2d_quant8_weights_as_inputs.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/depthwise_conv2d_quant8_weights_as_inputs.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, depthwise_conv2d_quant8_weights_as_inputs) {
execute(depthwise_conv2d_quant8_weights_as_inputs::CreateModel,
depthwise_conv2d_quant8_weights_as_inputs::is_ignored,
- depthwise_conv2d_quant8_weights_as_inputs::examples);
+ depthwise_conv2d_quant8_weights_as_inputs::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/depthwise_conv2d_v1_2.mod.py.cpp b/nn/runtime/test/generated/tests/depthwise_conv2d_v1_2.mod.py.cpp
index 186f202..db44d60 100644
--- a/nn/runtime/test/generated/tests/depthwise_conv2d_v1_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/depthwise_conv2d_v1_2.mod.py.cpp
@@ -12,288 +12,384 @@
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_nhwc) {
execute(depthwise_conv2d_v1_2::CreateModel_nhwc,
depthwise_conv2d_v1_2::is_ignored_nhwc,
- depthwise_conv2d_v1_2::examples_nhwc);
+ depthwise_conv2d_v1_2::get_examples_nhwc());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_nhwc_relaxed) {
execute(depthwise_conv2d_v1_2::CreateModel_nhwc_relaxed,
depthwise_conv2d_v1_2::is_ignored_nhwc_relaxed,
- depthwise_conv2d_v1_2::examples_nhwc_relaxed);
+ depthwise_conv2d_v1_2::get_examples_nhwc_relaxed());
+}
+
+TEST_F(GeneratedTests, depthwise_conv2d_v1_2_nhwc_float16) {
+ execute(depthwise_conv2d_v1_2::CreateModel_nhwc_float16,
+ depthwise_conv2d_v1_2::is_ignored_nhwc_float16,
+ depthwise_conv2d_v1_2::get_examples_nhwc_float16());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_nhwc_quant8) {
execute(depthwise_conv2d_v1_2::CreateModel_nhwc_quant8,
depthwise_conv2d_v1_2::is_ignored_nhwc_quant8,
- depthwise_conv2d_v1_2::examples_nhwc_quant8);
+ depthwise_conv2d_v1_2::get_examples_nhwc_quant8());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_nhwc_weight_as_input) {
execute(depthwise_conv2d_v1_2::CreateModel_nhwc_weight_as_input,
depthwise_conv2d_v1_2::is_ignored_nhwc_weight_as_input,
- depthwise_conv2d_v1_2::examples_nhwc_weight_as_input);
+ depthwise_conv2d_v1_2::get_examples_nhwc_weight_as_input());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_nhwc_weight_as_input_relaxed) {
execute(depthwise_conv2d_v1_2::CreateModel_nhwc_weight_as_input_relaxed,
depthwise_conv2d_v1_2::is_ignored_nhwc_weight_as_input_relaxed,
- depthwise_conv2d_v1_2::examples_nhwc_weight_as_input_relaxed);
+ depthwise_conv2d_v1_2::get_examples_nhwc_weight_as_input_relaxed());
+}
+
+TEST_F(GeneratedTests, depthwise_conv2d_v1_2_nhwc_weight_as_input_float16) {
+ execute(depthwise_conv2d_v1_2::CreateModel_nhwc_weight_as_input_float16,
+ depthwise_conv2d_v1_2::is_ignored_nhwc_weight_as_input_float16,
+ depthwise_conv2d_v1_2::get_examples_nhwc_weight_as_input_float16());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_nhwc_weight_as_input_quant8) {
execute(depthwise_conv2d_v1_2::CreateModel_nhwc_weight_as_input_quant8,
depthwise_conv2d_v1_2::is_ignored_nhwc_weight_as_input_quant8,
- depthwise_conv2d_v1_2::examples_nhwc_weight_as_input_quant8);
+ depthwise_conv2d_v1_2::get_examples_nhwc_weight_as_input_quant8());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_nchw) {
execute(depthwise_conv2d_v1_2::CreateModel_nchw,
depthwise_conv2d_v1_2::is_ignored_nchw,
- depthwise_conv2d_v1_2::examples_nchw);
+ depthwise_conv2d_v1_2::get_examples_nchw());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_nchw_relaxed) {
execute(depthwise_conv2d_v1_2::CreateModel_nchw_relaxed,
depthwise_conv2d_v1_2::is_ignored_nchw_relaxed,
- depthwise_conv2d_v1_2::examples_nchw_relaxed);
+ depthwise_conv2d_v1_2::get_examples_nchw_relaxed());
+}
+
+TEST_F(GeneratedTests, depthwise_conv2d_v1_2_nchw_float16) {
+ execute(depthwise_conv2d_v1_2::CreateModel_nchw_float16,
+ depthwise_conv2d_v1_2::is_ignored_nchw_float16,
+ depthwise_conv2d_v1_2::get_examples_nchw_float16());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_nchw_quant8) {
execute(depthwise_conv2d_v1_2::CreateModel_nchw_quant8,
depthwise_conv2d_v1_2::is_ignored_nchw_quant8,
- depthwise_conv2d_v1_2::examples_nchw_quant8);
+ depthwise_conv2d_v1_2::get_examples_nchw_quant8());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_nchw_weight_as_input) {
execute(depthwise_conv2d_v1_2::CreateModel_nchw_weight_as_input,
depthwise_conv2d_v1_2::is_ignored_nchw_weight_as_input,
- depthwise_conv2d_v1_2::examples_nchw_weight_as_input);
+ depthwise_conv2d_v1_2::get_examples_nchw_weight_as_input());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_nchw_weight_as_input_relaxed) {
execute(depthwise_conv2d_v1_2::CreateModel_nchw_weight_as_input_relaxed,
depthwise_conv2d_v1_2::is_ignored_nchw_weight_as_input_relaxed,
- depthwise_conv2d_v1_2::examples_nchw_weight_as_input_relaxed);
+ depthwise_conv2d_v1_2::get_examples_nchw_weight_as_input_relaxed());
+}
+
+TEST_F(GeneratedTests, depthwise_conv2d_v1_2_nchw_weight_as_input_float16) {
+ execute(depthwise_conv2d_v1_2::CreateModel_nchw_weight_as_input_float16,
+ depthwise_conv2d_v1_2::is_ignored_nchw_weight_as_input_float16,
+ depthwise_conv2d_v1_2::get_examples_nchw_weight_as_input_float16());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_nchw_weight_as_input_quant8) {
execute(depthwise_conv2d_v1_2::CreateModel_nchw_weight_as_input_quant8,
depthwise_conv2d_v1_2::is_ignored_nchw_weight_as_input_quant8,
- depthwise_conv2d_v1_2::examples_nchw_weight_as_input_quant8);
+ depthwise_conv2d_v1_2::get_examples_nchw_weight_as_input_quant8());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_nhwc_2) {
execute(depthwise_conv2d_v1_2::CreateModel_nhwc_2,
depthwise_conv2d_v1_2::is_ignored_nhwc_2,
- depthwise_conv2d_v1_2::examples_nhwc_2);
+ depthwise_conv2d_v1_2::get_examples_nhwc_2());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_nhwc_relaxed_2) {
execute(depthwise_conv2d_v1_2::CreateModel_nhwc_relaxed_2,
depthwise_conv2d_v1_2::is_ignored_nhwc_relaxed_2,
- depthwise_conv2d_v1_2::examples_nhwc_relaxed_2);
+ depthwise_conv2d_v1_2::get_examples_nhwc_relaxed_2());
+}
+
+TEST_F(GeneratedTests, depthwise_conv2d_v1_2_nhwc_float16_2) {
+ execute(depthwise_conv2d_v1_2::CreateModel_nhwc_float16_2,
+ depthwise_conv2d_v1_2::is_ignored_nhwc_float16_2,
+ depthwise_conv2d_v1_2::get_examples_nhwc_float16_2());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_nhwc_quant8_2) {
execute(depthwise_conv2d_v1_2::CreateModel_nhwc_quant8_2,
depthwise_conv2d_v1_2::is_ignored_nhwc_quant8_2,
- depthwise_conv2d_v1_2::examples_nhwc_quant8_2);
+ depthwise_conv2d_v1_2::get_examples_nhwc_quant8_2());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_nhwc_weight_as_input_2) {
execute(depthwise_conv2d_v1_2::CreateModel_nhwc_weight_as_input_2,
depthwise_conv2d_v1_2::is_ignored_nhwc_weight_as_input_2,
- depthwise_conv2d_v1_2::examples_nhwc_weight_as_input_2);
+ depthwise_conv2d_v1_2::get_examples_nhwc_weight_as_input_2());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_nhwc_weight_as_input_relaxed_2) {
execute(depthwise_conv2d_v1_2::CreateModel_nhwc_weight_as_input_relaxed_2,
depthwise_conv2d_v1_2::is_ignored_nhwc_weight_as_input_relaxed_2,
- depthwise_conv2d_v1_2::examples_nhwc_weight_as_input_relaxed_2);
+ depthwise_conv2d_v1_2::get_examples_nhwc_weight_as_input_relaxed_2());
+}
+
+TEST_F(GeneratedTests, depthwise_conv2d_v1_2_nhwc_weight_as_input_float16_2) {
+ execute(depthwise_conv2d_v1_2::CreateModel_nhwc_weight_as_input_float16_2,
+ depthwise_conv2d_v1_2::is_ignored_nhwc_weight_as_input_float16_2,
+ depthwise_conv2d_v1_2::get_examples_nhwc_weight_as_input_float16_2());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_nhwc_weight_as_input_quant8_2) {
execute(depthwise_conv2d_v1_2::CreateModel_nhwc_weight_as_input_quant8_2,
depthwise_conv2d_v1_2::is_ignored_nhwc_weight_as_input_quant8_2,
- depthwise_conv2d_v1_2::examples_nhwc_weight_as_input_quant8_2);
+ depthwise_conv2d_v1_2::get_examples_nhwc_weight_as_input_quant8_2());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_nchw_2) {
execute(depthwise_conv2d_v1_2::CreateModel_nchw_2,
depthwise_conv2d_v1_2::is_ignored_nchw_2,
- depthwise_conv2d_v1_2::examples_nchw_2);
+ depthwise_conv2d_v1_2::get_examples_nchw_2());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_nchw_relaxed_2) {
execute(depthwise_conv2d_v1_2::CreateModel_nchw_relaxed_2,
depthwise_conv2d_v1_2::is_ignored_nchw_relaxed_2,
- depthwise_conv2d_v1_2::examples_nchw_relaxed_2);
+ depthwise_conv2d_v1_2::get_examples_nchw_relaxed_2());
+}
+
+TEST_F(GeneratedTests, depthwise_conv2d_v1_2_nchw_float16_2) {
+ execute(depthwise_conv2d_v1_2::CreateModel_nchw_float16_2,
+ depthwise_conv2d_v1_2::is_ignored_nchw_float16_2,
+ depthwise_conv2d_v1_2::get_examples_nchw_float16_2());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_nchw_quant8_2) {
execute(depthwise_conv2d_v1_2::CreateModel_nchw_quant8_2,
depthwise_conv2d_v1_2::is_ignored_nchw_quant8_2,
- depthwise_conv2d_v1_2::examples_nchw_quant8_2);
+ depthwise_conv2d_v1_2::get_examples_nchw_quant8_2());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_nchw_weight_as_input_2) {
execute(depthwise_conv2d_v1_2::CreateModel_nchw_weight_as_input_2,
depthwise_conv2d_v1_2::is_ignored_nchw_weight_as_input_2,
- depthwise_conv2d_v1_2::examples_nchw_weight_as_input_2);
+ depthwise_conv2d_v1_2::get_examples_nchw_weight_as_input_2());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_nchw_weight_as_input_relaxed_2) {
execute(depthwise_conv2d_v1_2::CreateModel_nchw_weight_as_input_relaxed_2,
depthwise_conv2d_v1_2::is_ignored_nchw_weight_as_input_relaxed_2,
- depthwise_conv2d_v1_2::examples_nchw_weight_as_input_relaxed_2);
+ depthwise_conv2d_v1_2::get_examples_nchw_weight_as_input_relaxed_2());
+}
+
+TEST_F(GeneratedTests, depthwise_conv2d_v1_2_nchw_weight_as_input_float16_2) {
+ execute(depthwise_conv2d_v1_2::CreateModel_nchw_weight_as_input_float16_2,
+ depthwise_conv2d_v1_2::is_ignored_nchw_weight_as_input_float16_2,
+ depthwise_conv2d_v1_2::get_examples_nchw_weight_as_input_float16_2());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_nchw_weight_as_input_quant8_2) {
execute(depthwise_conv2d_v1_2::CreateModel_nchw_weight_as_input_quant8_2,
depthwise_conv2d_v1_2::is_ignored_nchw_weight_as_input_quant8_2,
- depthwise_conv2d_v1_2::examples_nchw_weight_as_input_quant8_2);
+ depthwise_conv2d_v1_2::get_examples_nchw_weight_as_input_quant8_2());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_large_nhwc) {
execute(depthwise_conv2d_v1_2::CreateModel_large_nhwc,
depthwise_conv2d_v1_2::is_ignored_large_nhwc,
- depthwise_conv2d_v1_2::examples_large_nhwc);
+ depthwise_conv2d_v1_2::get_examples_large_nhwc());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_large_nhwc_relaxed) {
execute(depthwise_conv2d_v1_2::CreateModel_large_nhwc_relaxed,
depthwise_conv2d_v1_2::is_ignored_large_nhwc_relaxed,
- depthwise_conv2d_v1_2::examples_large_nhwc_relaxed);
+ depthwise_conv2d_v1_2::get_examples_large_nhwc_relaxed());
+}
+
+TEST_F(GeneratedTests, depthwise_conv2d_v1_2_large_nhwc_float16) {
+ execute(depthwise_conv2d_v1_2::CreateModel_large_nhwc_float16,
+ depthwise_conv2d_v1_2::is_ignored_large_nhwc_float16,
+ depthwise_conv2d_v1_2::get_examples_large_nhwc_float16());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_large_nhwc_quant8) {
execute(depthwise_conv2d_v1_2::CreateModel_large_nhwc_quant8,
depthwise_conv2d_v1_2::is_ignored_large_nhwc_quant8,
- depthwise_conv2d_v1_2::examples_large_nhwc_quant8);
+ depthwise_conv2d_v1_2::get_examples_large_nhwc_quant8());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_large_nhwc_weight_as_input) {
execute(depthwise_conv2d_v1_2::CreateModel_large_nhwc_weight_as_input,
depthwise_conv2d_v1_2::is_ignored_large_nhwc_weight_as_input,
- depthwise_conv2d_v1_2::examples_large_nhwc_weight_as_input);
+ depthwise_conv2d_v1_2::get_examples_large_nhwc_weight_as_input());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_large_nhwc_weight_as_input_relaxed) {
execute(depthwise_conv2d_v1_2::CreateModel_large_nhwc_weight_as_input_relaxed,
depthwise_conv2d_v1_2::is_ignored_large_nhwc_weight_as_input_relaxed,
- depthwise_conv2d_v1_2::examples_large_nhwc_weight_as_input_relaxed);
+ depthwise_conv2d_v1_2::get_examples_large_nhwc_weight_as_input_relaxed());
+}
+
+TEST_F(GeneratedTests, depthwise_conv2d_v1_2_large_nhwc_weight_as_input_float16) {
+ execute(depthwise_conv2d_v1_2::CreateModel_large_nhwc_weight_as_input_float16,
+ depthwise_conv2d_v1_2::is_ignored_large_nhwc_weight_as_input_float16,
+ depthwise_conv2d_v1_2::get_examples_large_nhwc_weight_as_input_float16());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_large_nhwc_weight_as_input_quant8) {
execute(depthwise_conv2d_v1_2::CreateModel_large_nhwc_weight_as_input_quant8,
depthwise_conv2d_v1_2::is_ignored_large_nhwc_weight_as_input_quant8,
- depthwise_conv2d_v1_2::examples_large_nhwc_weight_as_input_quant8);
+ depthwise_conv2d_v1_2::get_examples_large_nhwc_weight_as_input_quant8());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_large_nchw) {
execute(depthwise_conv2d_v1_2::CreateModel_large_nchw,
depthwise_conv2d_v1_2::is_ignored_large_nchw,
- depthwise_conv2d_v1_2::examples_large_nchw);
+ depthwise_conv2d_v1_2::get_examples_large_nchw());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_large_nchw_relaxed) {
execute(depthwise_conv2d_v1_2::CreateModel_large_nchw_relaxed,
depthwise_conv2d_v1_2::is_ignored_large_nchw_relaxed,
- depthwise_conv2d_v1_2::examples_large_nchw_relaxed);
+ depthwise_conv2d_v1_2::get_examples_large_nchw_relaxed());
+}
+
+TEST_F(GeneratedTests, depthwise_conv2d_v1_2_large_nchw_float16) {
+ execute(depthwise_conv2d_v1_2::CreateModel_large_nchw_float16,
+ depthwise_conv2d_v1_2::is_ignored_large_nchw_float16,
+ depthwise_conv2d_v1_2::get_examples_large_nchw_float16());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_large_nchw_quant8) {
execute(depthwise_conv2d_v1_2::CreateModel_large_nchw_quant8,
depthwise_conv2d_v1_2::is_ignored_large_nchw_quant8,
- depthwise_conv2d_v1_2::examples_large_nchw_quant8);
+ depthwise_conv2d_v1_2::get_examples_large_nchw_quant8());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_large_nchw_weight_as_input) {
execute(depthwise_conv2d_v1_2::CreateModel_large_nchw_weight_as_input,
depthwise_conv2d_v1_2::is_ignored_large_nchw_weight_as_input,
- depthwise_conv2d_v1_2::examples_large_nchw_weight_as_input);
+ depthwise_conv2d_v1_2::get_examples_large_nchw_weight_as_input());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_large_nchw_weight_as_input_relaxed) {
execute(depthwise_conv2d_v1_2::CreateModel_large_nchw_weight_as_input_relaxed,
depthwise_conv2d_v1_2::is_ignored_large_nchw_weight_as_input_relaxed,
- depthwise_conv2d_v1_2::examples_large_nchw_weight_as_input_relaxed);
+ depthwise_conv2d_v1_2::get_examples_large_nchw_weight_as_input_relaxed());
+}
+
+TEST_F(GeneratedTests, depthwise_conv2d_v1_2_large_nchw_weight_as_input_float16) {
+ execute(depthwise_conv2d_v1_2::CreateModel_large_nchw_weight_as_input_float16,
+ depthwise_conv2d_v1_2::is_ignored_large_nchw_weight_as_input_float16,
+ depthwise_conv2d_v1_2::get_examples_large_nchw_weight_as_input_float16());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_large_nchw_weight_as_input_quant8) {
execute(depthwise_conv2d_v1_2::CreateModel_large_nchw_weight_as_input_quant8,
depthwise_conv2d_v1_2::is_ignored_large_nchw_weight_as_input_quant8,
- depthwise_conv2d_v1_2::examples_large_nchw_weight_as_input_quant8);
+ depthwise_conv2d_v1_2::get_examples_large_nchw_weight_as_input_quant8());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_large_nhwc_2) {
execute(depthwise_conv2d_v1_2::CreateModel_large_nhwc_2,
depthwise_conv2d_v1_2::is_ignored_large_nhwc_2,
- depthwise_conv2d_v1_2::examples_large_nhwc_2);
+ depthwise_conv2d_v1_2::get_examples_large_nhwc_2());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_large_nhwc_relaxed_2) {
execute(depthwise_conv2d_v1_2::CreateModel_large_nhwc_relaxed_2,
depthwise_conv2d_v1_2::is_ignored_large_nhwc_relaxed_2,
- depthwise_conv2d_v1_2::examples_large_nhwc_relaxed_2);
+ depthwise_conv2d_v1_2::get_examples_large_nhwc_relaxed_2());
+}
+
+TEST_F(GeneratedTests, depthwise_conv2d_v1_2_large_nhwc_float16_2) {
+ execute(depthwise_conv2d_v1_2::CreateModel_large_nhwc_float16_2,
+ depthwise_conv2d_v1_2::is_ignored_large_nhwc_float16_2,
+ depthwise_conv2d_v1_2::get_examples_large_nhwc_float16_2());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_large_nhwc_quant8_2) {
execute(depthwise_conv2d_v1_2::CreateModel_large_nhwc_quant8_2,
depthwise_conv2d_v1_2::is_ignored_large_nhwc_quant8_2,
- depthwise_conv2d_v1_2::examples_large_nhwc_quant8_2);
+ depthwise_conv2d_v1_2::get_examples_large_nhwc_quant8_2());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_large_nhwc_weight_as_input_2) {
execute(depthwise_conv2d_v1_2::CreateModel_large_nhwc_weight_as_input_2,
depthwise_conv2d_v1_2::is_ignored_large_nhwc_weight_as_input_2,
- depthwise_conv2d_v1_2::examples_large_nhwc_weight_as_input_2);
+ depthwise_conv2d_v1_2::get_examples_large_nhwc_weight_as_input_2());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_large_nhwc_weight_as_input_relaxed_2) {
execute(depthwise_conv2d_v1_2::CreateModel_large_nhwc_weight_as_input_relaxed_2,
depthwise_conv2d_v1_2::is_ignored_large_nhwc_weight_as_input_relaxed_2,
- depthwise_conv2d_v1_2::examples_large_nhwc_weight_as_input_relaxed_2);
+ depthwise_conv2d_v1_2::get_examples_large_nhwc_weight_as_input_relaxed_2());
+}
+
+TEST_F(GeneratedTests, depthwise_conv2d_v1_2_large_nhwc_weight_as_input_float16_2) {
+ execute(depthwise_conv2d_v1_2::CreateModel_large_nhwc_weight_as_input_float16_2,
+ depthwise_conv2d_v1_2::is_ignored_large_nhwc_weight_as_input_float16_2,
+ depthwise_conv2d_v1_2::get_examples_large_nhwc_weight_as_input_float16_2());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_large_nhwc_weight_as_input_quant8_2) {
execute(depthwise_conv2d_v1_2::CreateModel_large_nhwc_weight_as_input_quant8_2,
depthwise_conv2d_v1_2::is_ignored_large_nhwc_weight_as_input_quant8_2,
- depthwise_conv2d_v1_2::examples_large_nhwc_weight_as_input_quant8_2);
+ depthwise_conv2d_v1_2::get_examples_large_nhwc_weight_as_input_quant8_2());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_large_nchw_2) {
execute(depthwise_conv2d_v1_2::CreateModel_large_nchw_2,
depthwise_conv2d_v1_2::is_ignored_large_nchw_2,
- depthwise_conv2d_v1_2::examples_large_nchw_2);
+ depthwise_conv2d_v1_2::get_examples_large_nchw_2());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_large_nchw_relaxed_2) {
execute(depthwise_conv2d_v1_2::CreateModel_large_nchw_relaxed_2,
depthwise_conv2d_v1_2::is_ignored_large_nchw_relaxed_2,
- depthwise_conv2d_v1_2::examples_large_nchw_relaxed_2);
+ depthwise_conv2d_v1_2::get_examples_large_nchw_relaxed_2());
+}
+
+TEST_F(GeneratedTests, depthwise_conv2d_v1_2_large_nchw_float16_2) {
+ execute(depthwise_conv2d_v1_2::CreateModel_large_nchw_float16_2,
+ depthwise_conv2d_v1_2::is_ignored_large_nchw_float16_2,
+ depthwise_conv2d_v1_2::get_examples_large_nchw_float16_2());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_large_nchw_quant8_2) {
execute(depthwise_conv2d_v1_2::CreateModel_large_nchw_quant8_2,
depthwise_conv2d_v1_2::is_ignored_large_nchw_quant8_2,
- depthwise_conv2d_v1_2::examples_large_nchw_quant8_2);
+ depthwise_conv2d_v1_2::get_examples_large_nchw_quant8_2());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_large_nchw_weight_as_input_2) {
execute(depthwise_conv2d_v1_2::CreateModel_large_nchw_weight_as_input_2,
depthwise_conv2d_v1_2::is_ignored_large_nchw_weight_as_input_2,
- depthwise_conv2d_v1_2::examples_large_nchw_weight_as_input_2);
+ depthwise_conv2d_v1_2::get_examples_large_nchw_weight_as_input_2());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_large_nchw_weight_as_input_relaxed_2) {
execute(depthwise_conv2d_v1_2::CreateModel_large_nchw_weight_as_input_relaxed_2,
depthwise_conv2d_v1_2::is_ignored_large_nchw_weight_as_input_relaxed_2,
- depthwise_conv2d_v1_2::examples_large_nchw_weight_as_input_relaxed_2);
+ depthwise_conv2d_v1_2::get_examples_large_nchw_weight_as_input_relaxed_2());
+}
+
+TEST_F(GeneratedTests, depthwise_conv2d_v1_2_large_nchw_weight_as_input_float16_2) {
+ execute(depthwise_conv2d_v1_2::CreateModel_large_nchw_weight_as_input_float16_2,
+ depthwise_conv2d_v1_2::is_ignored_large_nchw_weight_as_input_float16_2,
+ depthwise_conv2d_v1_2::get_examples_large_nchw_weight_as_input_float16_2());
}
TEST_F(GeneratedTests, depthwise_conv2d_v1_2_large_nchw_weight_as_input_quant8_2) {
execute(depthwise_conv2d_v1_2::CreateModel_large_nchw_weight_as_input_quant8_2,
depthwise_conv2d_v1_2::is_ignored_large_nchw_weight_as_input_quant8_2,
- depthwise_conv2d_v1_2::examples_large_nchw_weight_as_input_quant8_2);
+ depthwise_conv2d_v1_2::get_examples_large_nchw_weight_as_input_quant8_2());
}
diff --git a/nn/runtime/test/generated/tests/depthwise_conv_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/depthwise_conv_relaxed.mod.py.cpp
index 381e765..dd20d9e 100644
--- a/nn/runtime/test/generated/tests/depthwise_conv_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/depthwise_conv_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, depthwise_conv_relaxed) {
execute(depthwise_conv_relaxed::CreateModel,
depthwise_conv_relaxed::is_ignored,
- depthwise_conv_relaxed::examples);
+ depthwise_conv_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/dequantize.mod.py.cpp b/nn/runtime/test/generated/tests/dequantize.mod.py.cpp
index 030b228..6dc77a0 100644
--- a/nn/runtime/test/generated/tests/dequantize.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/dequantize.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, dequantize) {
execute(dequantize::CreateModel,
dequantize::is_ignored,
- dequantize::examples);
+ dequantize::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/dequantize_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/dequantize_relaxed.mod.py.cpp
index f2b58ab..2c14fd4 100644
--- a/nn/runtime/test/generated/tests/dequantize_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/dequantize_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, dequantize_relaxed) {
execute(dequantize_relaxed::CreateModel,
dequantize_relaxed::is_ignored,
- dequantize_relaxed::examples);
+ dequantize_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/div.mod.py.cpp b/nn/runtime/test/generated/tests/div.mod.py.cpp
index e70a442..9e7383b 100644
--- a/nn/runtime/test/generated/tests/div.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/div.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, div) {
execute(div::CreateModel,
div::is_ignored,
- div::examples);
+ div::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/div_broadcast_float.mod.py.cpp b/nn/runtime/test/generated/tests/div_broadcast_float.mod.py.cpp
index d7bfb9f..3a0c0c4 100644
--- a/nn/runtime/test/generated/tests/div_broadcast_float.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/div_broadcast_float.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, div_broadcast_float) {
execute(div_broadcast_float::CreateModel,
div_broadcast_float::is_ignored,
- div_broadcast_float::examples);
+ div_broadcast_float::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/div_broadcast_float16.mod.py.cpp b/nn/runtime/test/generated/tests/div_broadcast_float16.mod.py.cpp
index 07bd719..b79e834 100644
--- a/nn/runtime/test/generated/tests/div_broadcast_float16.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/div_broadcast_float16.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, div_broadcast_float16) {
execute(div_broadcast_float16::CreateModel,
div_broadcast_float16::is_ignored,
- div_broadcast_float16::examples);
+ div_broadcast_float16::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/div_broadcast_float_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/div_broadcast_float_relaxed.mod.py.cpp
index e9c6d26..e2319ae 100644
--- a/nn/runtime/test/generated/tests/div_broadcast_float_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/div_broadcast_float_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, div_broadcast_float_relaxed) {
execute(div_broadcast_float_relaxed::CreateModel,
div_broadcast_float_relaxed::is_ignored,
- div_broadcast_float_relaxed::examples);
+ div_broadcast_float_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/div_float16.mod.py.cpp b/nn/runtime/test/generated/tests/div_float16.mod.py.cpp
index 00007bc..9dcadcf 100644
--- a/nn/runtime/test/generated/tests/div_float16.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/div_float16.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, div_float16) {
execute(div_float16::CreateModel,
div_float16::is_ignored,
- div_float16::examples);
+ div_float16::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/div_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/div_relaxed.mod.py.cpp
index 324cdc3..c3f4f6e 100644
--- a/nn/runtime/test/generated/tests/div_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/div_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, div_relaxed) {
execute(div_relaxed::CreateModel,
div_relaxed::is_ignored,
- div_relaxed::examples);
+ div_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/embedding_lookup.mod.py.cpp b/nn/runtime/test/generated/tests/embedding_lookup.mod.py.cpp
index e5c03c6..e145bc5 100644
--- a/nn/runtime/test/generated/tests/embedding_lookup.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/embedding_lookup.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, embedding_lookup) {
execute(embedding_lookup::CreateModel,
embedding_lookup::is_ignored,
- embedding_lookup::examples);
+ embedding_lookup::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/embedding_lookup_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/embedding_lookup_relaxed.mod.py.cpp
index 649ee76..1d09c37 100644
--- a/nn/runtime/test/generated/tests/embedding_lookup_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/embedding_lookup_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, embedding_lookup_relaxed) {
execute(embedding_lookup_relaxed::CreateModel,
embedding_lookup_relaxed::is_ignored,
- embedding_lookup_relaxed::examples);
+ embedding_lookup_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/expand_dims.mod.py.cpp b/nn/runtime/test/generated/tests/expand_dims.mod.py.cpp
index ece1b2f..d77620d 100644
--- a/nn/runtime/test/generated/tests/expand_dims.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/expand_dims.mod.py.cpp
@@ -12,96 +12,96 @@
TEST_F(GeneratedTests, expand_dims) {
execute(expand_dims::CreateModel,
expand_dims::is_ignored,
- expand_dims::examples);
+ expand_dims::get_examples());
}
TEST_F(GeneratedTests, expand_dims_relaxed) {
execute(expand_dims::CreateModel_relaxed,
expand_dims::is_ignored_relaxed,
- expand_dims::examples_relaxed);
+ expand_dims::get_examples_relaxed());
}
TEST_F(GeneratedTests, expand_dims_quant8) {
execute(expand_dims::CreateModel_quant8,
expand_dims::is_ignored_quant8,
- expand_dims::examples_quant8);
+ expand_dims::get_examples_quant8());
}
TEST_F(GeneratedTests, expand_dims_int32) {
execute(expand_dims::CreateModel_int32,
expand_dims::is_ignored_int32,
- expand_dims::examples_int32);
+ expand_dims::get_examples_int32());
}
TEST_F(GeneratedTests, expand_dims_2) {
execute(expand_dims::CreateModel_2,
expand_dims::is_ignored_2,
- expand_dims::examples_2);
+ expand_dims::get_examples_2());
}
TEST_F(GeneratedTests, expand_dims_relaxed_2) {
execute(expand_dims::CreateModel_relaxed_2,
expand_dims::is_ignored_relaxed_2,
- expand_dims::examples_relaxed_2);
+ expand_dims::get_examples_relaxed_2());
}
TEST_F(GeneratedTests, expand_dims_quant8_2) {
execute(expand_dims::CreateModel_quant8_2,
expand_dims::is_ignored_quant8_2,
- expand_dims::examples_quant8_2);
+ expand_dims::get_examples_quant8_2());
}
TEST_F(GeneratedTests, expand_dims_int32_2) {
execute(expand_dims::CreateModel_int32_2,
expand_dims::is_ignored_int32_2,
- expand_dims::examples_int32_2);
+ expand_dims::get_examples_int32_2());
}
TEST_F(GeneratedTests, expand_dims_3) {
execute(expand_dims::CreateModel_3,
expand_dims::is_ignored_3,
- expand_dims::examples_3);
+ expand_dims::get_examples_3());
}
TEST_F(GeneratedTests, expand_dims_relaxed_3) {
execute(expand_dims::CreateModel_relaxed_3,
expand_dims::is_ignored_relaxed_3,
- expand_dims::examples_relaxed_3);
+ expand_dims::get_examples_relaxed_3());
}
TEST_F(GeneratedTests, expand_dims_quant8_3) {
execute(expand_dims::CreateModel_quant8_3,
expand_dims::is_ignored_quant8_3,
- expand_dims::examples_quant8_3);
+ expand_dims::get_examples_quant8_3());
}
TEST_F(GeneratedTests, expand_dims_int32_3) {
execute(expand_dims::CreateModel_int32_3,
expand_dims::is_ignored_int32_3,
- expand_dims::examples_int32_3);
+ expand_dims::get_examples_int32_3());
}
TEST_F(GeneratedTests, expand_dims_4) {
execute(expand_dims::CreateModel_4,
expand_dims::is_ignored_4,
- expand_dims::examples_4);
+ expand_dims::get_examples_4());
}
TEST_F(GeneratedTests, expand_dims_relaxed_4) {
execute(expand_dims::CreateModel_relaxed_4,
expand_dims::is_ignored_relaxed_4,
- expand_dims::examples_relaxed_4);
+ expand_dims::get_examples_relaxed_4());
}
TEST_F(GeneratedTests, expand_dims_quant8_4) {
execute(expand_dims::CreateModel_quant8_4,
expand_dims::is_ignored_quant8_4,
- expand_dims::examples_quant8_4);
+ expand_dims::get_examples_quant8_4());
}
TEST_F(GeneratedTests, expand_dims_int32_4) {
execute(expand_dims::CreateModel_int32_4,
expand_dims::is_ignored_int32_4,
- expand_dims::examples_int32_4);
+ expand_dims::get_examples_int32_4());
}
diff --git a/nn/runtime/test/generated/tests/floor.mod.py.cpp b/nn/runtime/test/generated/tests/floor.mod.py.cpp
index 0621fd6..85fa666 100644
--- a/nn/runtime/test/generated/tests/floor.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/floor.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, floor) {
execute(floor::CreateModel,
floor::is_ignored,
- floor::examples);
+ floor::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/floor_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/floor_relaxed.mod.py.cpp
index 90dea42..407ad8e 100644
--- a/nn/runtime/test/generated/tests/floor_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/floor_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, floor_relaxed) {
execute(floor_relaxed::CreateModel,
floor_relaxed::is_ignored,
- floor_relaxed::examples);
+ floor_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/fully_connected_float.mod.py.cpp b/nn/runtime/test/generated/tests/fully_connected_float.mod.py.cpp
index c36bebc..087be5a 100644
--- a/nn/runtime/test/generated/tests/fully_connected_float.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/fully_connected_float.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, fully_connected_float) {
execute(fully_connected_float::CreateModel,
fully_connected_float::is_ignored,
- fully_connected_float::examples);
+ fully_connected_float::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/fully_connected_float_2.mod.py.cpp b/nn/runtime/test/generated/tests/fully_connected_float_2.mod.py.cpp
index 2452310..0d36de4 100644
--- a/nn/runtime/test/generated/tests/fully_connected_float_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/fully_connected_float_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, fully_connected_float_2) {
execute(fully_connected_float_2::CreateModel,
fully_connected_float_2::is_ignored,
- fully_connected_float_2::examples);
+ fully_connected_float_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/fully_connected_float_2_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/fully_connected_float_2_relaxed.mod.py.cpp
index 0bb39ad..2564313 100644
--- a/nn/runtime/test/generated/tests/fully_connected_float_2_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/fully_connected_float_2_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, fully_connected_float_2_relaxed) {
execute(fully_connected_float_2_relaxed::CreateModel,
fully_connected_float_2_relaxed::is_ignored,
- fully_connected_float_2_relaxed::examples);
+ fully_connected_float_2_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/fully_connected_float_3.mod.py.cpp b/nn/runtime/test/generated/tests/fully_connected_float_3.mod.py.cpp
index 8646cd1..2aabc05 100644
--- a/nn/runtime/test/generated/tests/fully_connected_float_3.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/fully_connected_float_3.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, fully_connected_float_3) {
execute(fully_connected_float_3::CreateModel,
fully_connected_float_3::is_ignored,
- fully_connected_float_3::examples);
+ fully_connected_float_3::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/fully_connected_float_4d_simple.mod.py.cpp b/nn/runtime/test/generated/tests/fully_connected_float_4d_simple.mod.py.cpp
index 0bfa2c3..27753f2 100644
--- a/nn/runtime/test/generated/tests/fully_connected_float_4d_simple.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/fully_connected_float_4d_simple.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, fully_connected_float_4d_simple) {
execute(fully_connected_float_4d_simple::CreateModel,
fully_connected_float_4d_simple::is_ignored,
- fully_connected_float_4d_simple::examples);
+ fully_connected_float_4d_simple::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/fully_connected_float_4d_simple_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/fully_connected_float_4d_simple_relaxed.mod.py.cpp
index 4fe494b..d266230 100644
--- a/nn/runtime/test/generated/tests/fully_connected_float_4d_simple_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/fully_connected_float_4d_simple_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, fully_connected_float_4d_simple_relaxed) {
execute(fully_connected_float_4d_simple_relaxed::CreateModel,
fully_connected_float_4d_simple_relaxed::is_ignored,
- fully_connected_float_4d_simple_relaxed::examples);
+ fully_connected_float_4d_simple_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/fully_connected_float_large.mod.py.cpp b/nn/runtime/test/generated/tests/fully_connected_float_large.mod.py.cpp
index 9a4c393..a2a2365 100644
--- a/nn/runtime/test/generated/tests/fully_connected_float_large.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/fully_connected_float_large.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, fully_connected_float_large) {
execute(fully_connected_float_large::CreateModel,
fully_connected_float_large::is_ignored,
- fully_connected_float_large::examples);
+ fully_connected_float_large::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/fully_connected_float_large_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/fully_connected_float_large_relaxed.mod.py.cpp
index 8e05f82..5db5a3b 100644
--- a/nn/runtime/test/generated/tests/fully_connected_float_large_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/fully_connected_float_large_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, fully_connected_float_large_relaxed) {
execute(fully_connected_float_large_relaxed::CreateModel,
fully_connected_float_large_relaxed::is_ignored,
- fully_connected_float_large_relaxed::examples);
+ fully_connected_float_large_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/fully_connected_float_large_weights_as_inputs.mod.py.cpp b/nn/runtime/test/generated/tests/fully_connected_float_large_weights_as_inputs.mod.py.cpp
index 930c0de..f9b00e8 100644
--- a/nn/runtime/test/generated/tests/fully_connected_float_large_weights_as_inputs.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/fully_connected_float_large_weights_as_inputs.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, fully_connected_float_large_weights_as_inputs) {
execute(fully_connected_float_large_weights_as_inputs::CreateModel,
fully_connected_float_large_weights_as_inputs::is_ignored,
- fully_connected_float_large_weights_as_inputs::examples);
+ fully_connected_float_large_weights_as_inputs::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/fully_connected_float_large_weights_as_inputs_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/fully_connected_float_large_weights_as_inputs_relaxed.mod.py.cpp
index 6b4ccae..a38ccd7 100644
--- a/nn/runtime/test/generated/tests/fully_connected_float_large_weights_as_inputs_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/fully_connected_float_large_weights_as_inputs_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, fully_connected_float_large_weights_as_inputs_relaxed) {
execute(fully_connected_float_large_weights_as_inputs_relaxed::CreateModel,
fully_connected_float_large_weights_as_inputs_relaxed::is_ignored,
- fully_connected_float_large_weights_as_inputs_relaxed::examples);
+ fully_connected_float_large_weights_as_inputs_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/fully_connected_float_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/fully_connected_float_relaxed.mod.py.cpp
index 3a1663b..169f398 100644
--- a/nn/runtime/test/generated/tests/fully_connected_float_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/fully_connected_float_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, fully_connected_float_relaxed) {
execute(fully_connected_float_relaxed::CreateModel,
fully_connected_float_relaxed::is_ignored,
- fully_connected_float_relaxed::examples);
+ fully_connected_float_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/fully_connected_float_weights_as_inputs.mod.py.cpp b/nn/runtime/test/generated/tests/fully_connected_float_weights_as_inputs.mod.py.cpp
index bb206a5..7a67532 100644
--- a/nn/runtime/test/generated/tests/fully_connected_float_weights_as_inputs.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/fully_connected_float_weights_as_inputs.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, fully_connected_float_weights_as_inputs) {
execute(fully_connected_float_weights_as_inputs::CreateModel,
fully_connected_float_weights_as_inputs::is_ignored,
- fully_connected_float_weights_as_inputs::examples);
+ fully_connected_float_weights_as_inputs::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/fully_connected_float_weights_as_inputs_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/fully_connected_float_weights_as_inputs_relaxed.mod.py.cpp
index 08eb68e..f25cdc8 100644
--- a/nn/runtime/test/generated/tests/fully_connected_float_weights_as_inputs_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/fully_connected_float_weights_as_inputs_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, fully_connected_float_weights_as_inputs_relaxed) {
execute(fully_connected_float_weights_as_inputs_relaxed::CreateModel,
fully_connected_float_weights_as_inputs_relaxed::is_ignored,
- fully_connected_float_weights_as_inputs_relaxed::examples);
+ fully_connected_float_weights_as_inputs_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/fully_connected_quant8.mod.py.cpp b/nn/runtime/test/generated/tests/fully_connected_quant8.mod.py.cpp
index 84f60a5..ac18b8a 100644
--- a/nn/runtime/test/generated/tests/fully_connected_quant8.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/fully_connected_quant8.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, fully_connected_quant8) {
execute(fully_connected_quant8::CreateModel,
fully_connected_quant8::is_ignored,
- fully_connected_quant8::examples);
+ fully_connected_quant8::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/fully_connected_quant8_2.mod.py.cpp b/nn/runtime/test/generated/tests/fully_connected_quant8_2.mod.py.cpp
index 39404f5..5615a78 100644
--- a/nn/runtime/test/generated/tests/fully_connected_quant8_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/fully_connected_quant8_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, fully_connected_quant8_2) {
execute(fully_connected_quant8_2::CreateModel,
fully_connected_quant8_2::is_ignored,
- fully_connected_quant8_2::examples);
+ fully_connected_quant8_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/fully_connected_quant8_large.mod.py.cpp b/nn/runtime/test/generated/tests/fully_connected_quant8_large.mod.py.cpp
index 08c6b86..5f7b9e8 100644
--- a/nn/runtime/test/generated/tests/fully_connected_quant8_large.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/fully_connected_quant8_large.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, fully_connected_quant8_large) {
execute(fully_connected_quant8_large::CreateModel,
fully_connected_quant8_large::is_ignored,
- fully_connected_quant8_large::examples);
+ fully_connected_quant8_large::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/fully_connected_quant8_large_weights_as_inputs.mod.py.cpp b/nn/runtime/test/generated/tests/fully_connected_quant8_large_weights_as_inputs.mod.py.cpp
index b041517..796c3ba 100644
--- a/nn/runtime/test/generated/tests/fully_connected_quant8_large_weights_as_inputs.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/fully_connected_quant8_large_weights_as_inputs.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, fully_connected_quant8_large_weights_as_inputs) {
execute(fully_connected_quant8_large_weights_as_inputs::CreateModel,
fully_connected_quant8_large_weights_as_inputs::is_ignored,
- fully_connected_quant8_large_weights_as_inputs::examples);
+ fully_connected_quant8_large_weights_as_inputs::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/fully_connected_quant8_weights_as_inputs.mod.py.cpp b/nn/runtime/test/generated/tests/fully_connected_quant8_weights_as_inputs.mod.py.cpp
index d5c2294..51da1f6 100644
--- a/nn/runtime/test/generated/tests/fully_connected_quant8_weights_as_inputs.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/fully_connected_quant8_weights_as_inputs.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, fully_connected_quant8_weights_as_inputs) {
execute(fully_connected_quant8_weights_as_inputs::CreateModel,
fully_connected_quant8_weights_as_inputs::is_ignored,
- fully_connected_quant8_weights_as_inputs::examples);
+ fully_connected_quant8_weights_as_inputs::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/gather.mod.py.cpp b/nn/runtime/test/generated/tests/gather.mod.py.cpp
index 2f9e8f9..f1f89bb 100644
--- a/nn/runtime/test/generated/tests/gather.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/gather.mod.py.cpp
@@ -12,240 +12,240 @@
TEST_F(GeneratedTests, gather) {
execute(gather::CreateModel,
gather::is_ignored,
- gather::examples);
+ gather::get_examples());
}
TEST_F(GeneratedTests, gather_relaxed) {
execute(gather::CreateModel_relaxed,
gather::is_ignored_relaxed,
- gather::examples_relaxed);
+ gather::get_examples_relaxed());
}
TEST_F(GeneratedTests, gather_quant8) {
execute(gather::CreateModel_quant8,
gather::is_ignored_quant8,
- gather::examples_quant8);
+ gather::get_examples_quant8());
}
TEST_F(GeneratedTests, gather_int32) {
execute(gather::CreateModel_int32,
gather::is_ignored_int32,
- gather::examples_int32);
+ gather::get_examples_int32());
}
TEST_F(GeneratedTests, gather_float16) {
execute(gather::CreateModel_float16,
gather::is_ignored_float16,
- gather::examples_float16);
+ gather::get_examples_float16());
}
TEST_F(GeneratedTests, gather_2) {
execute(gather::CreateModel_2,
gather::is_ignored_2,
- gather::examples_2);
+ gather::get_examples_2());
}
TEST_F(GeneratedTests, gather_relaxed_2) {
execute(gather::CreateModel_relaxed_2,
gather::is_ignored_relaxed_2,
- gather::examples_relaxed_2);
+ gather::get_examples_relaxed_2());
}
TEST_F(GeneratedTests, gather_quant8_2) {
execute(gather::CreateModel_quant8_2,
gather::is_ignored_quant8_2,
- gather::examples_quant8_2);
+ gather::get_examples_quant8_2());
}
TEST_F(GeneratedTests, gather_int32_2) {
execute(gather::CreateModel_int32_2,
gather::is_ignored_int32_2,
- gather::examples_int32_2);
+ gather::get_examples_int32_2());
}
TEST_F(GeneratedTests, gather_float16_2) {
execute(gather::CreateModel_float16_2,
gather::is_ignored_float16_2,
- gather::examples_float16_2);
+ gather::get_examples_float16_2());
}
TEST_F(GeneratedTests, gather_3) {
execute(gather::CreateModel_3,
gather::is_ignored_3,
- gather::examples_3);
+ gather::get_examples_3());
}
TEST_F(GeneratedTests, gather_relaxed_3) {
execute(gather::CreateModel_relaxed_3,
gather::is_ignored_relaxed_3,
- gather::examples_relaxed_3);
+ gather::get_examples_relaxed_3());
}
TEST_F(GeneratedTests, gather_quant8_3) {
execute(gather::CreateModel_quant8_3,
gather::is_ignored_quant8_3,
- gather::examples_quant8_3);
+ gather::get_examples_quant8_3());
}
TEST_F(GeneratedTests, gather_int32_3) {
execute(gather::CreateModel_int32_3,
gather::is_ignored_int32_3,
- gather::examples_int32_3);
+ gather::get_examples_int32_3());
}
TEST_F(GeneratedTests, gather_float16_3) {
execute(gather::CreateModel_float16_3,
gather::is_ignored_float16_3,
- gather::examples_float16_3);
+ gather::get_examples_float16_3());
}
TEST_F(GeneratedTests, gather_4) {
execute(gather::CreateModel_4,
gather::is_ignored_4,
- gather::examples_4);
+ gather::get_examples_4());
}
TEST_F(GeneratedTests, gather_relaxed_4) {
execute(gather::CreateModel_relaxed_4,
gather::is_ignored_relaxed_4,
- gather::examples_relaxed_4);
+ gather::get_examples_relaxed_4());
}
TEST_F(GeneratedTests, gather_quant8_4) {
execute(gather::CreateModel_quant8_4,
gather::is_ignored_quant8_4,
- gather::examples_quant8_4);
+ gather::get_examples_quant8_4());
}
TEST_F(GeneratedTests, gather_int32_4) {
execute(gather::CreateModel_int32_4,
gather::is_ignored_int32_4,
- gather::examples_int32_4);
+ gather::get_examples_int32_4());
}
TEST_F(GeneratedTests, gather_float16_4) {
execute(gather::CreateModel_float16_4,
gather::is_ignored_float16_4,
- gather::examples_float16_4);
+ gather::get_examples_float16_4());
}
TEST_F(GeneratedTests, gather_5) {
execute(gather::CreateModel_5,
gather::is_ignored_5,
- gather::examples_5);
+ gather::get_examples_5());
}
TEST_F(GeneratedTests, gather_relaxed_5) {
execute(gather::CreateModel_relaxed_5,
gather::is_ignored_relaxed_5,
- gather::examples_relaxed_5);
+ gather::get_examples_relaxed_5());
}
TEST_F(GeneratedTests, gather_quant8_5) {
execute(gather::CreateModel_quant8_5,
gather::is_ignored_quant8_5,
- gather::examples_quant8_5);
+ gather::get_examples_quant8_5());
}
TEST_F(GeneratedTests, gather_int32_5) {
execute(gather::CreateModel_int32_5,
gather::is_ignored_int32_5,
- gather::examples_int32_5);
+ gather::get_examples_int32_5());
}
TEST_F(GeneratedTests, gather_float16_5) {
execute(gather::CreateModel_float16_5,
gather::is_ignored_float16_5,
- gather::examples_float16_5);
+ gather::get_examples_float16_5());
}
TEST_F(GeneratedTests, gather_6) {
execute(gather::CreateModel_6,
gather::is_ignored_6,
- gather::examples_6);
+ gather::get_examples_6());
}
TEST_F(GeneratedTests, gather_relaxed_6) {
execute(gather::CreateModel_relaxed_6,
gather::is_ignored_relaxed_6,
- gather::examples_relaxed_6);
+ gather::get_examples_relaxed_6());
}
TEST_F(GeneratedTests, gather_quant8_6) {
execute(gather::CreateModel_quant8_6,
gather::is_ignored_quant8_6,
- gather::examples_quant8_6);
+ gather::get_examples_quant8_6());
}
TEST_F(GeneratedTests, gather_int32_6) {
execute(gather::CreateModel_int32_6,
gather::is_ignored_int32_6,
- gather::examples_int32_6);
+ gather::get_examples_int32_6());
}
TEST_F(GeneratedTests, gather_float16_6) {
execute(gather::CreateModel_float16_6,
gather::is_ignored_float16_6,
- gather::examples_float16_6);
+ gather::get_examples_float16_6());
}
TEST_F(GeneratedTests, gather_7) {
execute(gather::CreateModel_7,
gather::is_ignored_7,
- gather::examples_7);
+ gather::get_examples_7());
}
TEST_F(GeneratedTests, gather_relaxed_7) {
execute(gather::CreateModel_relaxed_7,
gather::is_ignored_relaxed_7,
- gather::examples_relaxed_7);
+ gather::get_examples_relaxed_7());
}
TEST_F(GeneratedTests, gather_quant8_7) {
execute(gather::CreateModel_quant8_7,
gather::is_ignored_quant8_7,
- gather::examples_quant8_7);
+ gather::get_examples_quant8_7());
}
TEST_F(GeneratedTests, gather_int32_7) {
execute(gather::CreateModel_int32_7,
gather::is_ignored_int32_7,
- gather::examples_int32_7);
+ gather::get_examples_int32_7());
}
TEST_F(GeneratedTests, gather_float16_7) {
execute(gather::CreateModel_float16_7,
gather::is_ignored_float16_7,
- gather::examples_float16_7);
+ gather::get_examples_float16_7());
}
TEST_F(GeneratedTests, gather_8) {
execute(gather::CreateModel_8,
gather::is_ignored_8,
- gather::examples_8);
+ gather::get_examples_8());
}
TEST_F(GeneratedTests, gather_relaxed_8) {
execute(gather::CreateModel_relaxed_8,
gather::is_ignored_relaxed_8,
- gather::examples_relaxed_8);
+ gather::get_examples_relaxed_8());
}
TEST_F(GeneratedTests, gather_quant8_8) {
execute(gather::CreateModel_quant8_8,
gather::is_ignored_quant8_8,
- gather::examples_quant8_8);
+ gather::get_examples_quant8_8());
}
TEST_F(GeneratedTests, gather_int32_8) {
execute(gather::CreateModel_int32_8,
gather::is_ignored_int32_8,
- gather::examples_int32_8);
+ gather::get_examples_int32_8());
}
TEST_F(GeneratedTests, gather_float16_8) {
execute(gather::CreateModel_float16_8,
gather::is_ignored_float16_8,
- gather::examples_float16_8);
+ gather::get_examples_float16_8());
}
diff --git a/nn/runtime/test/generated/tests/gather_higher_rank.mod.py.cpp b/nn/runtime/test/generated/tests/gather_higher_rank.mod.py.cpp
index 5673322..0edc083 100644
--- a/nn/runtime/test/generated/tests/gather_higher_rank.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/gather_higher_rank.mod.py.cpp
@@ -12,24 +12,24 @@
TEST_F(GeneratedTests, gather_higher_rank) {
execute(gather_higher_rank::CreateModel,
gather_higher_rank::is_ignored,
- gather_higher_rank::examples);
+ gather_higher_rank::get_examples());
}
TEST_F(GeneratedTests, gather_higher_rank_relaxed) {
execute(gather_higher_rank::CreateModel_relaxed,
gather_higher_rank::is_ignored_relaxed,
- gather_higher_rank::examples_relaxed);
+ gather_higher_rank::get_examples_relaxed());
}
TEST_F(GeneratedTests, gather_higher_rank_quant8) {
execute(gather_higher_rank::CreateModel_quant8,
gather_higher_rank::is_ignored_quant8,
- gather_higher_rank::examples_quant8);
+ gather_higher_rank::get_examples_quant8());
}
TEST_F(GeneratedTests, gather_higher_rank_int32) {
execute(gather_higher_rank::CreateModel_int32,
gather_higher_rank::is_ignored_int32,
- gather_higher_rank::examples_int32);
+ gather_higher_rank::get_examples_int32());
}
diff --git a/nn/runtime/test/generated/tests/grouped_conv2d.mod.py.cpp b/nn/runtime/test/generated/tests/grouped_conv2d.mod.py.cpp
index b2bb071..16ae0a6 100644
--- a/nn/runtime/test/generated/tests/grouped_conv2d.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/grouped_conv2d.mod.py.cpp
@@ -12,432 +12,432 @@
TEST_F(GeneratedTests, grouped_conv2d_nhwc_none) {
execute(grouped_conv2d::CreateModel_nhwc_none,
grouped_conv2d::is_ignored_nhwc_none,
- grouped_conv2d::examples_nhwc_none);
+ grouped_conv2d::get_examples_nhwc_none());
}
TEST_F(GeneratedTests, grouped_conv2d_nhwc_none_weight_as_input) {
execute(grouped_conv2d::CreateModel_nhwc_none_weight_as_input,
grouped_conv2d::is_ignored_nhwc_none_weight_as_input,
- grouped_conv2d::examples_nhwc_none_weight_as_input);
+ grouped_conv2d::get_examples_nhwc_none_weight_as_input());
}
TEST_F(GeneratedTests, grouped_conv2d_nhwc_none_relaxed) {
execute(grouped_conv2d::CreateModel_nhwc_none_relaxed,
grouped_conv2d::is_ignored_nhwc_none_relaxed,
- grouped_conv2d::examples_nhwc_none_relaxed);
+ grouped_conv2d::get_examples_nhwc_none_relaxed());
}
TEST_F(GeneratedTests, grouped_conv2d_nhwc_none_relaxed_weight_as_input) {
execute(grouped_conv2d::CreateModel_nhwc_none_relaxed_weight_as_input,
grouped_conv2d::is_ignored_nhwc_none_relaxed_weight_as_input,
- grouped_conv2d::examples_nhwc_none_relaxed_weight_as_input);
+ grouped_conv2d::get_examples_nhwc_none_relaxed_weight_as_input());
}
TEST_F(GeneratedTests, grouped_conv2d_nhwc_none_quant8) {
execute(grouped_conv2d::CreateModel_nhwc_none_quant8,
grouped_conv2d::is_ignored_nhwc_none_quant8,
- grouped_conv2d::examples_nhwc_none_quant8);
+ grouped_conv2d::get_examples_nhwc_none_quant8());
}
TEST_F(GeneratedTests, grouped_conv2d_nhwc_none_quant8_weight_as_input) {
execute(grouped_conv2d::CreateModel_nhwc_none_quant8_weight_as_input,
grouped_conv2d::is_ignored_nhwc_none_quant8_weight_as_input,
- grouped_conv2d::examples_nhwc_none_quant8_weight_as_input);
+ grouped_conv2d::get_examples_nhwc_none_quant8_weight_as_input());
}
TEST_F(GeneratedTests, grouped_conv2d_nhwc_relu) {
execute(grouped_conv2d::CreateModel_nhwc_relu,
grouped_conv2d::is_ignored_nhwc_relu,
- grouped_conv2d::examples_nhwc_relu);
+ grouped_conv2d::get_examples_nhwc_relu());
}
TEST_F(GeneratedTests, grouped_conv2d_nhwc_relu_weight_as_input) {
execute(grouped_conv2d::CreateModel_nhwc_relu_weight_as_input,
grouped_conv2d::is_ignored_nhwc_relu_weight_as_input,
- grouped_conv2d::examples_nhwc_relu_weight_as_input);
+ grouped_conv2d::get_examples_nhwc_relu_weight_as_input());
}
TEST_F(GeneratedTests, grouped_conv2d_nhwc_relu_relaxed) {
execute(grouped_conv2d::CreateModel_nhwc_relu_relaxed,
grouped_conv2d::is_ignored_nhwc_relu_relaxed,
- grouped_conv2d::examples_nhwc_relu_relaxed);
+ grouped_conv2d::get_examples_nhwc_relu_relaxed());
}
TEST_F(GeneratedTests, grouped_conv2d_nhwc_relu_relaxed_weight_as_input) {
execute(grouped_conv2d::CreateModel_nhwc_relu_relaxed_weight_as_input,
grouped_conv2d::is_ignored_nhwc_relu_relaxed_weight_as_input,
- grouped_conv2d::examples_nhwc_relu_relaxed_weight_as_input);
+ grouped_conv2d::get_examples_nhwc_relu_relaxed_weight_as_input());
}
TEST_F(GeneratedTests, grouped_conv2d_nhwc_relu_quant8) {
execute(grouped_conv2d::CreateModel_nhwc_relu_quant8,
grouped_conv2d::is_ignored_nhwc_relu_quant8,
- grouped_conv2d::examples_nhwc_relu_quant8);
+ grouped_conv2d::get_examples_nhwc_relu_quant8());
}
TEST_F(GeneratedTests, grouped_conv2d_nhwc_relu_quant8_weight_as_input) {
execute(grouped_conv2d::CreateModel_nhwc_relu_quant8_weight_as_input,
grouped_conv2d::is_ignored_nhwc_relu_quant8_weight_as_input,
- grouped_conv2d::examples_nhwc_relu_quant8_weight_as_input);
+ grouped_conv2d::get_examples_nhwc_relu_quant8_weight_as_input());
}
TEST_F(GeneratedTests, grouped_conv2d_nhwc_relu1) {
execute(grouped_conv2d::CreateModel_nhwc_relu1,
grouped_conv2d::is_ignored_nhwc_relu1,
- grouped_conv2d::examples_nhwc_relu1);
+ grouped_conv2d::get_examples_nhwc_relu1());
}
TEST_F(GeneratedTests, grouped_conv2d_nhwc_relu1_weight_as_input) {
execute(grouped_conv2d::CreateModel_nhwc_relu1_weight_as_input,
grouped_conv2d::is_ignored_nhwc_relu1_weight_as_input,
- grouped_conv2d::examples_nhwc_relu1_weight_as_input);
+ grouped_conv2d::get_examples_nhwc_relu1_weight_as_input());
}
TEST_F(GeneratedTests, grouped_conv2d_nhwc_relu1_relaxed) {
execute(grouped_conv2d::CreateModel_nhwc_relu1_relaxed,
grouped_conv2d::is_ignored_nhwc_relu1_relaxed,
- grouped_conv2d::examples_nhwc_relu1_relaxed);
+ grouped_conv2d::get_examples_nhwc_relu1_relaxed());
}
TEST_F(GeneratedTests, grouped_conv2d_nhwc_relu1_relaxed_weight_as_input) {
execute(grouped_conv2d::CreateModel_nhwc_relu1_relaxed_weight_as_input,
grouped_conv2d::is_ignored_nhwc_relu1_relaxed_weight_as_input,
- grouped_conv2d::examples_nhwc_relu1_relaxed_weight_as_input);
+ grouped_conv2d::get_examples_nhwc_relu1_relaxed_weight_as_input());
}
TEST_F(GeneratedTests, grouped_conv2d_nhwc_relu1_quant8) {
execute(grouped_conv2d::CreateModel_nhwc_relu1_quant8,
grouped_conv2d::is_ignored_nhwc_relu1_quant8,
- grouped_conv2d::examples_nhwc_relu1_quant8);
+ grouped_conv2d::get_examples_nhwc_relu1_quant8());
}
TEST_F(GeneratedTests, grouped_conv2d_nhwc_relu1_quant8_weight_as_input) {
execute(grouped_conv2d::CreateModel_nhwc_relu1_quant8_weight_as_input,
grouped_conv2d::is_ignored_nhwc_relu1_quant8_weight_as_input,
- grouped_conv2d::examples_nhwc_relu1_quant8_weight_as_input);
+ grouped_conv2d::get_examples_nhwc_relu1_quant8_weight_as_input());
}
TEST_F(GeneratedTests, grouped_conv2d_nhwc_relu6) {
execute(grouped_conv2d::CreateModel_nhwc_relu6,
grouped_conv2d::is_ignored_nhwc_relu6,
- grouped_conv2d::examples_nhwc_relu6);
+ grouped_conv2d::get_examples_nhwc_relu6());
}
TEST_F(GeneratedTests, grouped_conv2d_nhwc_relu6_weight_as_input) {
execute(grouped_conv2d::CreateModel_nhwc_relu6_weight_as_input,
grouped_conv2d::is_ignored_nhwc_relu6_weight_as_input,
- grouped_conv2d::examples_nhwc_relu6_weight_as_input);
+ grouped_conv2d::get_examples_nhwc_relu6_weight_as_input());
}
TEST_F(GeneratedTests, grouped_conv2d_nhwc_relu6_relaxed) {
execute(grouped_conv2d::CreateModel_nhwc_relu6_relaxed,
grouped_conv2d::is_ignored_nhwc_relu6_relaxed,
- grouped_conv2d::examples_nhwc_relu6_relaxed);
+ grouped_conv2d::get_examples_nhwc_relu6_relaxed());
}
TEST_F(GeneratedTests, grouped_conv2d_nhwc_relu6_relaxed_weight_as_input) {
execute(grouped_conv2d::CreateModel_nhwc_relu6_relaxed_weight_as_input,
grouped_conv2d::is_ignored_nhwc_relu6_relaxed_weight_as_input,
- grouped_conv2d::examples_nhwc_relu6_relaxed_weight_as_input);
+ grouped_conv2d::get_examples_nhwc_relu6_relaxed_weight_as_input());
}
TEST_F(GeneratedTests, grouped_conv2d_nhwc_relu6_quant8) {
execute(grouped_conv2d::CreateModel_nhwc_relu6_quant8,
grouped_conv2d::is_ignored_nhwc_relu6_quant8,
- grouped_conv2d::examples_nhwc_relu6_quant8);
+ grouped_conv2d::get_examples_nhwc_relu6_quant8());
}
TEST_F(GeneratedTests, grouped_conv2d_nhwc_relu6_quant8_weight_as_input) {
execute(grouped_conv2d::CreateModel_nhwc_relu6_quant8_weight_as_input,
grouped_conv2d::is_ignored_nhwc_relu6_quant8_weight_as_input,
- grouped_conv2d::examples_nhwc_relu6_quant8_weight_as_input);
+ grouped_conv2d::get_examples_nhwc_relu6_quant8_weight_as_input());
}
TEST_F(GeneratedTests, grouped_conv2d_nchw_none) {
execute(grouped_conv2d::CreateModel_nchw_none,
grouped_conv2d::is_ignored_nchw_none,
- grouped_conv2d::examples_nchw_none);
+ grouped_conv2d::get_examples_nchw_none());
}
TEST_F(GeneratedTests, grouped_conv2d_nchw_none_weight_as_input) {
execute(grouped_conv2d::CreateModel_nchw_none_weight_as_input,
grouped_conv2d::is_ignored_nchw_none_weight_as_input,
- grouped_conv2d::examples_nchw_none_weight_as_input);
+ grouped_conv2d::get_examples_nchw_none_weight_as_input());
}
TEST_F(GeneratedTests, grouped_conv2d_nchw_none_relaxed) {
execute(grouped_conv2d::CreateModel_nchw_none_relaxed,
grouped_conv2d::is_ignored_nchw_none_relaxed,
- grouped_conv2d::examples_nchw_none_relaxed);
+ grouped_conv2d::get_examples_nchw_none_relaxed());
}
TEST_F(GeneratedTests, grouped_conv2d_nchw_none_relaxed_weight_as_input) {
execute(grouped_conv2d::CreateModel_nchw_none_relaxed_weight_as_input,
grouped_conv2d::is_ignored_nchw_none_relaxed_weight_as_input,
- grouped_conv2d::examples_nchw_none_relaxed_weight_as_input);
+ grouped_conv2d::get_examples_nchw_none_relaxed_weight_as_input());
}
TEST_F(GeneratedTests, grouped_conv2d_nchw_none_quant8) {
execute(grouped_conv2d::CreateModel_nchw_none_quant8,
grouped_conv2d::is_ignored_nchw_none_quant8,
- grouped_conv2d::examples_nchw_none_quant8);
+ grouped_conv2d::get_examples_nchw_none_quant8());
}
TEST_F(GeneratedTests, grouped_conv2d_nchw_none_quant8_weight_as_input) {
execute(grouped_conv2d::CreateModel_nchw_none_quant8_weight_as_input,
grouped_conv2d::is_ignored_nchw_none_quant8_weight_as_input,
- grouped_conv2d::examples_nchw_none_quant8_weight_as_input);
+ grouped_conv2d::get_examples_nchw_none_quant8_weight_as_input());
}
TEST_F(GeneratedTests, grouped_conv2d_nchw_relu) {
execute(grouped_conv2d::CreateModel_nchw_relu,
grouped_conv2d::is_ignored_nchw_relu,
- grouped_conv2d::examples_nchw_relu);
+ grouped_conv2d::get_examples_nchw_relu());
}
TEST_F(GeneratedTests, grouped_conv2d_nchw_relu_weight_as_input) {
execute(grouped_conv2d::CreateModel_nchw_relu_weight_as_input,
grouped_conv2d::is_ignored_nchw_relu_weight_as_input,
- grouped_conv2d::examples_nchw_relu_weight_as_input);
+ grouped_conv2d::get_examples_nchw_relu_weight_as_input());
}
TEST_F(GeneratedTests, grouped_conv2d_nchw_relu_relaxed) {
execute(grouped_conv2d::CreateModel_nchw_relu_relaxed,
grouped_conv2d::is_ignored_nchw_relu_relaxed,
- grouped_conv2d::examples_nchw_relu_relaxed);
+ grouped_conv2d::get_examples_nchw_relu_relaxed());
}
TEST_F(GeneratedTests, grouped_conv2d_nchw_relu_relaxed_weight_as_input) {
execute(grouped_conv2d::CreateModel_nchw_relu_relaxed_weight_as_input,
grouped_conv2d::is_ignored_nchw_relu_relaxed_weight_as_input,
- grouped_conv2d::examples_nchw_relu_relaxed_weight_as_input);
+ grouped_conv2d::get_examples_nchw_relu_relaxed_weight_as_input());
}
TEST_F(GeneratedTests, grouped_conv2d_nchw_relu_quant8) {
execute(grouped_conv2d::CreateModel_nchw_relu_quant8,
grouped_conv2d::is_ignored_nchw_relu_quant8,
- grouped_conv2d::examples_nchw_relu_quant8);
+ grouped_conv2d::get_examples_nchw_relu_quant8());
}
TEST_F(GeneratedTests, grouped_conv2d_nchw_relu_quant8_weight_as_input) {
execute(grouped_conv2d::CreateModel_nchw_relu_quant8_weight_as_input,
grouped_conv2d::is_ignored_nchw_relu_quant8_weight_as_input,
- grouped_conv2d::examples_nchw_relu_quant8_weight_as_input);
+ grouped_conv2d::get_examples_nchw_relu_quant8_weight_as_input());
}
TEST_F(GeneratedTests, grouped_conv2d_nchw_relu1) {
execute(grouped_conv2d::CreateModel_nchw_relu1,
grouped_conv2d::is_ignored_nchw_relu1,
- grouped_conv2d::examples_nchw_relu1);
+ grouped_conv2d::get_examples_nchw_relu1());
}
TEST_F(GeneratedTests, grouped_conv2d_nchw_relu1_weight_as_input) {
execute(grouped_conv2d::CreateModel_nchw_relu1_weight_as_input,
grouped_conv2d::is_ignored_nchw_relu1_weight_as_input,
- grouped_conv2d::examples_nchw_relu1_weight_as_input);
+ grouped_conv2d::get_examples_nchw_relu1_weight_as_input());
}
TEST_F(GeneratedTests, grouped_conv2d_nchw_relu1_relaxed) {
execute(grouped_conv2d::CreateModel_nchw_relu1_relaxed,
grouped_conv2d::is_ignored_nchw_relu1_relaxed,
- grouped_conv2d::examples_nchw_relu1_relaxed);
+ grouped_conv2d::get_examples_nchw_relu1_relaxed());
}
TEST_F(GeneratedTests, grouped_conv2d_nchw_relu1_relaxed_weight_as_input) {
execute(grouped_conv2d::CreateModel_nchw_relu1_relaxed_weight_as_input,
grouped_conv2d::is_ignored_nchw_relu1_relaxed_weight_as_input,
- grouped_conv2d::examples_nchw_relu1_relaxed_weight_as_input);
+ grouped_conv2d::get_examples_nchw_relu1_relaxed_weight_as_input());
}
TEST_F(GeneratedTests, grouped_conv2d_nchw_relu1_quant8) {
execute(grouped_conv2d::CreateModel_nchw_relu1_quant8,
grouped_conv2d::is_ignored_nchw_relu1_quant8,
- grouped_conv2d::examples_nchw_relu1_quant8);
+ grouped_conv2d::get_examples_nchw_relu1_quant8());
}
TEST_F(GeneratedTests, grouped_conv2d_nchw_relu1_quant8_weight_as_input) {
execute(grouped_conv2d::CreateModel_nchw_relu1_quant8_weight_as_input,
grouped_conv2d::is_ignored_nchw_relu1_quant8_weight_as_input,
- grouped_conv2d::examples_nchw_relu1_quant8_weight_as_input);
+ grouped_conv2d::get_examples_nchw_relu1_quant8_weight_as_input());
}
TEST_F(GeneratedTests, grouped_conv2d_nchw_relu6) {
execute(grouped_conv2d::CreateModel_nchw_relu6,
grouped_conv2d::is_ignored_nchw_relu6,
- grouped_conv2d::examples_nchw_relu6);
+ grouped_conv2d::get_examples_nchw_relu6());
}
TEST_F(GeneratedTests, grouped_conv2d_nchw_relu6_weight_as_input) {
execute(grouped_conv2d::CreateModel_nchw_relu6_weight_as_input,
grouped_conv2d::is_ignored_nchw_relu6_weight_as_input,
- grouped_conv2d::examples_nchw_relu6_weight_as_input);
+ grouped_conv2d::get_examples_nchw_relu6_weight_as_input());
}
TEST_F(GeneratedTests, grouped_conv2d_nchw_relu6_relaxed) {
execute(grouped_conv2d::CreateModel_nchw_relu6_relaxed,
grouped_conv2d::is_ignored_nchw_relu6_relaxed,
- grouped_conv2d::examples_nchw_relu6_relaxed);
+ grouped_conv2d::get_examples_nchw_relu6_relaxed());
}
TEST_F(GeneratedTests, grouped_conv2d_nchw_relu6_relaxed_weight_as_input) {
execute(grouped_conv2d::CreateModel_nchw_relu6_relaxed_weight_as_input,
grouped_conv2d::is_ignored_nchw_relu6_relaxed_weight_as_input,
- grouped_conv2d::examples_nchw_relu6_relaxed_weight_as_input);
+ grouped_conv2d::get_examples_nchw_relu6_relaxed_weight_as_input());
}
TEST_F(GeneratedTests, grouped_conv2d_nchw_relu6_quant8) {
execute(grouped_conv2d::CreateModel_nchw_relu6_quant8,
grouped_conv2d::is_ignored_nchw_relu6_quant8,
- grouped_conv2d::examples_nchw_relu6_quant8);
+ grouped_conv2d::get_examples_nchw_relu6_quant8());
}
TEST_F(GeneratedTests, grouped_conv2d_nchw_relu6_quant8_weight_as_input) {
execute(grouped_conv2d::CreateModel_nchw_relu6_quant8_weight_as_input,
grouped_conv2d::is_ignored_nchw_relu6_quant8_weight_as_input,
- grouped_conv2d::examples_nchw_relu6_quant8_weight_as_input);
+ grouped_conv2d::get_examples_nchw_relu6_quant8_weight_as_input());
}
TEST_F(GeneratedTests, grouped_conv2d_large_nhwc) {
execute(grouped_conv2d::CreateModel_large_nhwc,
grouped_conv2d::is_ignored_large_nhwc,
- grouped_conv2d::examples_large_nhwc);
+ grouped_conv2d::get_examples_large_nhwc());
}
TEST_F(GeneratedTests, grouped_conv2d_large_nhwc_weight_as_input) {
execute(grouped_conv2d::CreateModel_large_nhwc_weight_as_input,
grouped_conv2d::is_ignored_large_nhwc_weight_as_input,
- grouped_conv2d::examples_large_nhwc_weight_as_input);
+ grouped_conv2d::get_examples_large_nhwc_weight_as_input());
}
TEST_F(GeneratedTests, grouped_conv2d_large_nhwc_relaxed) {
execute(grouped_conv2d::CreateModel_large_nhwc_relaxed,
grouped_conv2d::is_ignored_large_nhwc_relaxed,
- grouped_conv2d::examples_large_nhwc_relaxed);
+ grouped_conv2d::get_examples_large_nhwc_relaxed());
}
TEST_F(GeneratedTests, grouped_conv2d_large_nhwc_relaxed_weight_as_input) {
execute(grouped_conv2d::CreateModel_large_nhwc_relaxed_weight_as_input,
grouped_conv2d::is_ignored_large_nhwc_relaxed_weight_as_input,
- grouped_conv2d::examples_large_nhwc_relaxed_weight_as_input);
+ grouped_conv2d::get_examples_large_nhwc_relaxed_weight_as_input());
}
TEST_F(GeneratedTests, grouped_conv2d_large_nhwc_quant8) {
execute(grouped_conv2d::CreateModel_large_nhwc_quant8,
grouped_conv2d::is_ignored_large_nhwc_quant8,
- grouped_conv2d::examples_large_nhwc_quant8);
+ grouped_conv2d::get_examples_large_nhwc_quant8());
}
TEST_F(GeneratedTests, grouped_conv2d_large_nhwc_quant8_weight_as_input) {
execute(grouped_conv2d::CreateModel_large_nhwc_quant8_weight_as_input,
grouped_conv2d::is_ignored_large_nhwc_quant8_weight_as_input,
- grouped_conv2d::examples_large_nhwc_quant8_weight_as_input);
+ grouped_conv2d::get_examples_large_nhwc_quant8_weight_as_input());
}
TEST_F(GeneratedTests, grouped_conv2d_large_nchw) {
execute(grouped_conv2d::CreateModel_large_nchw,
grouped_conv2d::is_ignored_large_nchw,
- grouped_conv2d::examples_large_nchw);
+ grouped_conv2d::get_examples_large_nchw());
}
TEST_F(GeneratedTests, grouped_conv2d_large_nchw_weight_as_input) {
execute(grouped_conv2d::CreateModel_large_nchw_weight_as_input,
grouped_conv2d::is_ignored_large_nchw_weight_as_input,
- grouped_conv2d::examples_large_nchw_weight_as_input);
+ grouped_conv2d::get_examples_large_nchw_weight_as_input());
}
TEST_F(GeneratedTests, grouped_conv2d_large_nchw_relaxed) {
execute(grouped_conv2d::CreateModel_large_nchw_relaxed,
grouped_conv2d::is_ignored_large_nchw_relaxed,
- grouped_conv2d::examples_large_nchw_relaxed);
+ grouped_conv2d::get_examples_large_nchw_relaxed());
}
TEST_F(GeneratedTests, grouped_conv2d_large_nchw_relaxed_weight_as_input) {
execute(grouped_conv2d::CreateModel_large_nchw_relaxed_weight_as_input,
grouped_conv2d::is_ignored_large_nchw_relaxed_weight_as_input,
- grouped_conv2d::examples_large_nchw_relaxed_weight_as_input);
+ grouped_conv2d::get_examples_large_nchw_relaxed_weight_as_input());
}
TEST_F(GeneratedTests, grouped_conv2d_large_nchw_quant8) {
execute(grouped_conv2d::CreateModel_large_nchw_quant8,
grouped_conv2d::is_ignored_large_nchw_quant8,
- grouped_conv2d::examples_large_nchw_quant8);
+ grouped_conv2d::get_examples_large_nchw_quant8());
}
TEST_F(GeneratedTests, grouped_conv2d_large_nchw_quant8_weight_as_input) {
execute(grouped_conv2d::CreateModel_large_nchw_quant8_weight_as_input,
grouped_conv2d::is_ignored_large_nchw_quant8_weight_as_input,
- grouped_conv2d::examples_large_nchw_quant8_weight_as_input);
+ grouped_conv2d::get_examples_large_nchw_quant8_weight_as_input());
}
TEST_F(GeneratedTests, grouped_conv2d_channel_nhwc) {
execute(grouped_conv2d::CreateModel_channel_nhwc,
grouped_conv2d::is_ignored_channel_nhwc,
- grouped_conv2d::examples_channel_nhwc);
+ grouped_conv2d::get_examples_channel_nhwc());
}
TEST_F(GeneratedTests, grouped_conv2d_channel_nhwc_weight_as_input) {
execute(grouped_conv2d::CreateModel_channel_nhwc_weight_as_input,
grouped_conv2d::is_ignored_channel_nhwc_weight_as_input,
- grouped_conv2d::examples_channel_nhwc_weight_as_input);
+ grouped_conv2d::get_examples_channel_nhwc_weight_as_input());
}
TEST_F(GeneratedTests, grouped_conv2d_channel_nhwc_relaxed) {
execute(grouped_conv2d::CreateModel_channel_nhwc_relaxed,
grouped_conv2d::is_ignored_channel_nhwc_relaxed,
- grouped_conv2d::examples_channel_nhwc_relaxed);
+ grouped_conv2d::get_examples_channel_nhwc_relaxed());
}
TEST_F(GeneratedTests, grouped_conv2d_channel_nhwc_relaxed_weight_as_input) {
execute(grouped_conv2d::CreateModel_channel_nhwc_relaxed_weight_as_input,
grouped_conv2d::is_ignored_channel_nhwc_relaxed_weight_as_input,
- grouped_conv2d::examples_channel_nhwc_relaxed_weight_as_input);
+ grouped_conv2d::get_examples_channel_nhwc_relaxed_weight_as_input());
}
TEST_F(GeneratedTests, grouped_conv2d_channel_nhwc_quant8) {
execute(grouped_conv2d::CreateModel_channel_nhwc_quant8,
grouped_conv2d::is_ignored_channel_nhwc_quant8,
- grouped_conv2d::examples_channel_nhwc_quant8);
+ grouped_conv2d::get_examples_channel_nhwc_quant8());
}
TEST_F(GeneratedTests, grouped_conv2d_channel_nhwc_quant8_weight_as_input) {
execute(grouped_conv2d::CreateModel_channel_nhwc_quant8_weight_as_input,
grouped_conv2d::is_ignored_channel_nhwc_quant8_weight_as_input,
- grouped_conv2d::examples_channel_nhwc_quant8_weight_as_input);
+ grouped_conv2d::get_examples_channel_nhwc_quant8_weight_as_input());
}
TEST_F(GeneratedTests, grouped_conv2d_channel_nchw) {
execute(grouped_conv2d::CreateModel_channel_nchw,
grouped_conv2d::is_ignored_channel_nchw,
- grouped_conv2d::examples_channel_nchw);
+ grouped_conv2d::get_examples_channel_nchw());
}
TEST_F(GeneratedTests, grouped_conv2d_channel_nchw_weight_as_input) {
execute(grouped_conv2d::CreateModel_channel_nchw_weight_as_input,
grouped_conv2d::is_ignored_channel_nchw_weight_as_input,
- grouped_conv2d::examples_channel_nchw_weight_as_input);
+ grouped_conv2d::get_examples_channel_nchw_weight_as_input());
}
TEST_F(GeneratedTests, grouped_conv2d_channel_nchw_relaxed) {
execute(grouped_conv2d::CreateModel_channel_nchw_relaxed,
grouped_conv2d::is_ignored_channel_nchw_relaxed,
- grouped_conv2d::examples_channel_nchw_relaxed);
+ grouped_conv2d::get_examples_channel_nchw_relaxed());
}
TEST_F(GeneratedTests, grouped_conv2d_channel_nchw_relaxed_weight_as_input) {
execute(grouped_conv2d::CreateModel_channel_nchw_relaxed_weight_as_input,
grouped_conv2d::is_ignored_channel_nchw_relaxed_weight_as_input,
- grouped_conv2d::examples_channel_nchw_relaxed_weight_as_input);
+ grouped_conv2d::get_examples_channel_nchw_relaxed_weight_as_input());
}
TEST_F(GeneratedTests, grouped_conv2d_channel_nchw_quant8) {
execute(grouped_conv2d::CreateModel_channel_nchw_quant8,
grouped_conv2d::is_ignored_channel_nchw_quant8,
- grouped_conv2d::examples_channel_nchw_quant8);
+ grouped_conv2d::get_examples_channel_nchw_quant8());
}
TEST_F(GeneratedTests, grouped_conv2d_channel_nchw_quant8_weight_as_input) {
execute(grouped_conv2d::CreateModel_channel_nchw_quant8_weight_as_input,
grouped_conv2d::is_ignored_channel_nchw_quant8_weight_as_input,
- grouped_conv2d::examples_channel_nchw_quant8_weight_as_input);
+ grouped_conv2d::get_examples_channel_nchw_quant8_weight_as_input());
}
diff --git a/nn/runtime/test/generated/tests/hashtable_lookup_float.mod.py.cpp b/nn/runtime/test/generated/tests/hashtable_lookup_float.mod.py.cpp
index 41b620d..9acd20f 100644
--- a/nn/runtime/test/generated/tests/hashtable_lookup_float.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/hashtable_lookup_float.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, hashtable_lookup_float) {
execute(hashtable_lookup_float::CreateModel,
hashtable_lookup_float::is_ignored,
- hashtable_lookup_float::examples);
+ hashtable_lookup_float::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/hashtable_lookup_float_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/hashtable_lookup_float_relaxed.mod.py.cpp
index 7d7356e..ddebee9 100644
--- a/nn/runtime/test/generated/tests/hashtable_lookup_float_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/hashtable_lookup_float_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, hashtable_lookup_float_relaxed) {
execute(hashtable_lookup_float_relaxed::CreateModel,
hashtable_lookup_float_relaxed::is_ignored,
- hashtable_lookup_float_relaxed::examples);
+ hashtable_lookup_float_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/hashtable_lookup_quant8.mod.py.cpp b/nn/runtime/test/generated/tests/hashtable_lookup_quant8.mod.py.cpp
index 5bced5b..3b6b36c 100644
--- a/nn/runtime/test/generated/tests/hashtable_lookup_quant8.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/hashtable_lookup_quant8.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, hashtable_lookup_quant8) {
execute(hashtable_lookup_quant8::CreateModel,
hashtable_lookup_quant8::is_ignored,
- hashtable_lookup_quant8::examples);
+ hashtable_lookup_quant8::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/heatmap_max_keypoint.mod.py.cpp b/nn/runtime/test/generated/tests/heatmap_max_keypoint.mod.py.cpp
index 128d6ac..ea686bb 100644
--- a/nn/runtime/test/generated/tests/heatmap_max_keypoint.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/heatmap_max_keypoint.mod.py.cpp
@@ -12,48 +12,48 @@
TEST_F(GeneratedTests, heatmap_max_keypoint_nhwc) {
execute(heatmap_max_keypoint::CreateModel_nhwc,
heatmap_max_keypoint::is_ignored_nhwc,
- heatmap_max_keypoint::examples_nhwc);
+ heatmap_max_keypoint::get_examples_nhwc());
}
TEST_F(GeneratedTests, heatmap_max_keypoint_nhwc_relaxed) {
execute(heatmap_max_keypoint::CreateModel_nhwc_relaxed,
heatmap_max_keypoint::is_ignored_nhwc_relaxed,
- heatmap_max_keypoint::examples_nhwc_relaxed);
+ heatmap_max_keypoint::get_examples_nhwc_relaxed());
}
TEST_F(GeneratedTests, heatmap_max_keypoint_nchw) {
execute(heatmap_max_keypoint::CreateModel_nchw,
heatmap_max_keypoint::is_ignored_nchw,
- heatmap_max_keypoint::examples_nchw);
+ heatmap_max_keypoint::get_examples_nchw());
}
TEST_F(GeneratedTests, heatmap_max_keypoint_nchw_relaxed) {
execute(heatmap_max_keypoint::CreateModel_nchw_relaxed,
heatmap_max_keypoint::is_ignored_nchw_relaxed,
- heatmap_max_keypoint::examples_nchw_relaxed);
+ heatmap_max_keypoint::get_examples_nchw_relaxed());
}
TEST_F(GeneratedTests, heatmap_max_keypoint_nhwc_2) {
execute(heatmap_max_keypoint::CreateModel_nhwc_2,
heatmap_max_keypoint::is_ignored_nhwc_2,
- heatmap_max_keypoint::examples_nhwc_2);
+ heatmap_max_keypoint::get_examples_nhwc_2());
}
TEST_F(GeneratedTests, heatmap_max_keypoint_nhwc_relaxed_2) {
execute(heatmap_max_keypoint::CreateModel_nhwc_relaxed_2,
heatmap_max_keypoint::is_ignored_nhwc_relaxed_2,
- heatmap_max_keypoint::examples_nhwc_relaxed_2);
+ heatmap_max_keypoint::get_examples_nhwc_relaxed_2());
}
TEST_F(GeneratedTests, heatmap_max_keypoint_nchw_2) {
execute(heatmap_max_keypoint::CreateModel_nchw_2,
heatmap_max_keypoint::is_ignored_nchw_2,
- heatmap_max_keypoint::examples_nchw_2);
+ heatmap_max_keypoint::get_examples_nchw_2());
}
TEST_F(GeneratedTests, heatmap_max_keypoint_nchw_relaxed_2) {
execute(heatmap_max_keypoint::CreateModel_nchw_relaxed_2,
heatmap_max_keypoint::is_ignored_nchw_relaxed_2,
- heatmap_max_keypoint::examples_nchw_relaxed_2);
+ heatmap_max_keypoint::get_examples_nchw_relaxed_2());
}
diff --git a/nn/runtime/test/generated/tests/l2_normalization.mod.py.cpp b/nn/runtime/test/generated/tests/l2_normalization.mod.py.cpp
index 1fc8c6c..7807515 100644
--- a/nn/runtime/test/generated/tests/l2_normalization.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/l2_normalization.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, l2_normalization) {
execute(l2_normalization::CreateModel,
l2_normalization::is_ignored,
- l2_normalization::examples);
+ l2_normalization::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/l2_normalization_2.mod.py.cpp b/nn/runtime/test/generated/tests/l2_normalization_2.mod.py.cpp
index 760d5b1..75af663 100644
--- a/nn/runtime/test/generated/tests/l2_normalization_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/l2_normalization_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, l2_normalization_2) {
execute(l2_normalization_2::CreateModel,
l2_normalization_2::is_ignored,
- l2_normalization_2::examples);
+ l2_normalization_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/l2_normalization_2_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/l2_normalization_2_relaxed.mod.py.cpp
index 3b16fc0..c105178 100644
--- a/nn/runtime/test/generated/tests/l2_normalization_2_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/l2_normalization_2_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, l2_normalization_2_relaxed) {
execute(l2_normalization_2_relaxed::CreateModel,
l2_normalization_2_relaxed::is_ignored,
- l2_normalization_2_relaxed::examples);
+ l2_normalization_2_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/l2_normalization_large.mod.py.cpp b/nn/runtime/test/generated/tests/l2_normalization_large.mod.py.cpp
index 9bc329a..2e8a276 100644
--- a/nn/runtime/test/generated/tests/l2_normalization_large.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/l2_normalization_large.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, l2_normalization_large) {
execute(l2_normalization_large::CreateModel,
l2_normalization_large::is_ignored,
- l2_normalization_large::examples);
+ l2_normalization_large::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/l2_normalization_large_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/l2_normalization_large_relaxed.mod.py.cpp
index 1e60c42..b95dcb3 100644
--- a/nn/runtime/test/generated/tests/l2_normalization_large_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/l2_normalization_large_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, l2_normalization_large_relaxed) {
execute(l2_normalization_large_relaxed::CreateModel,
l2_normalization_large_relaxed::is_ignored,
- l2_normalization_large_relaxed::examples);
+ l2_normalization_large_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/l2_normalization_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/l2_normalization_relaxed.mod.py.cpp
index cd12a58..d3d9039 100644
--- a/nn/runtime/test/generated/tests/l2_normalization_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/l2_normalization_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, l2_normalization_relaxed) {
execute(l2_normalization_relaxed::CreateModel,
l2_normalization_relaxed::is_ignored,
- l2_normalization_relaxed::examples);
+ l2_normalization_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/l2_normalization_v1_2.mod.py.cpp b/nn/runtime/test/generated/tests/l2_normalization_v1_2.mod.py.cpp
index c160ca7..1de3469 100644
--- a/nn/runtime/test/generated/tests/l2_normalization_v1_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/l2_normalization_v1_2.mod.py.cpp
@@ -12,276 +12,276 @@
TEST_F(GeneratedTests, l2_normalization_v1_2_dim1_axis0) {
execute(l2_normalization_v1_2::CreateModel_dim1_axis0,
l2_normalization_v1_2::is_ignored_dim1_axis0,
- l2_normalization_v1_2::examples_dim1_axis0);
+ l2_normalization_v1_2::get_examples_dim1_axis0());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_dim2_axis1) {
execute(l2_normalization_v1_2::CreateModel_dim2_axis1,
l2_normalization_v1_2::is_ignored_dim2_axis1,
- l2_normalization_v1_2::examples_dim2_axis1);
+ l2_normalization_v1_2::get_examples_dim2_axis1());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_dim3_axis2) {
execute(l2_normalization_v1_2::CreateModel_dim3_axis2,
l2_normalization_v1_2::is_ignored_dim3_axis2,
- l2_normalization_v1_2::examples_dim3_axis2);
+ l2_normalization_v1_2::get_examples_dim3_axis2());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_relaxed_dim1_axis0) {
execute(l2_normalization_v1_2::CreateModel_relaxed_dim1_axis0,
l2_normalization_v1_2::is_ignored_relaxed_dim1_axis0,
- l2_normalization_v1_2::examples_relaxed_dim1_axis0);
+ l2_normalization_v1_2::get_examples_relaxed_dim1_axis0());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_relaxed_dim2_axis1) {
execute(l2_normalization_v1_2::CreateModel_relaxed_dim2_axis1,
l2_normalization_v1_2::is_ignored_relaxed_dim2_axis1,
- l2_normalization_v1_2::examples_relaxed_dim2_axis1);
+ l2_normalization_v1_2::get_examples_relaxed_dim2_axis1());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_relaxed_dim3_axis2) {
execute(l2_normalization_v1_2::CreateModel_relaxed_dim3_axis2,
l2_normalization_v1_2::is_ignored_relaxed_dim3_axis2,
- l2_normalization_v1_2::examples_relaxed_dim3_axis2);
+ l2_normalization_v1_2::get_examples_relaxed_dim3_axis2());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_dim4_axis0) {
execute(l2_normalization_v1_2::CreateModel_axis_dim4_axis0,
l2_normalization_v1_2::is_ignored_axis_dim4_axis0,
- l2_normalization_v1_2::examples_axis_dim4_axis0);
+ l2_normalization_v1_2::get_examples_axis_dim4_axis0());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_dim4_axis0_neg) {
execute(l2_normalization_v1_2::CreateModel_axis_dim4_axis0_neg,
l2_normalization_v1_2::is_ignored_axis_dim4_axis0_neg,
- l2_normalization_v1_2::examples_axis_dim4_axis0_neg);
+ l2_normalization_v1_2::get_examples_axis_dim4_axis0_neg());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_dim4_axis1) {
execute(l2_normalization_v1_2::CreateModel_axis_dim4_axis1,
l2_normalization_v1_2::is_ignored_axis_dim4_axis1,
- l2_normalization_v1_2::examples_axis_dim4_axis1);
+ l2_normalization_v1_2::get_examples_axis_dim4_axis1());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_dim4_axis1_neg) {
execute(l2_normalization_v1_2::CreateModel_axis_dim4_axis1_neg,
l2_normalization_v1_2::is_ignored_axis_dim4_axis1_neg,
- l2_normalization_v1_2::examples_axis_dim4_axis1_neg);
+ l2_normalization_v1_2::get_examples_axis_dim4_axis1_neg());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_dim4_axis2) {
execute(l2_normalization_v1_2::CreateModel_axis_dim4_axis2,
l2_normalization_v1_2::is_ignored_axis_dim4_axis2,
- l2_normalization_v1_2::examples_axis_dim4_axis2);
+ l2_normalization_v1_2::get_examples_axis_dim4_axis2());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_dim4_axis2_neg) {
execute(l2_normalization_v1_2::CreateModel_axis_dim4_axis2_neg,
l2_normalization_v1_2::is_ignored_axis_dim4_axis2_neg,
- l2_normalization_v1_2::examples_axis_dim4_axis2_neg);
+ l2_normalization_v1_2::get_examples_axis_dim4_axis2_neg());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_dim4_axis3) {
execute(l2_normalization_v1_2::CreateModel_axis_dim4_axis3,
l2_normalization_v1_2::is_ignored_axis_dim4_axis3,
- l2_normalization_v1_2::examples_axis_dim4_axis3);
+ l2_normalization_v1_2::get_examples_axis_dim4_axis3());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_dim4_axis3_neg) {
execute(l2_normalization_v1_2::CreateModel_axis_dim4_axis3_neg,
l2_normalization_v1_2::is_ignored_axis_dim4_axis3_neg,
- l2_normalization_v1_2::examples_axis_dim4_axis3_neg);
+ l2_normalization_v1_2::get_examples_axis_dim4_axis3_neg());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_dim3_axis0) {
execute(l2_normalization_v1_2::CreateModel_axis_dim3_axis0,
l2_normalization_v1_2::is_ignored_axis_dim3_axis0,
- l2_normalization_v1_2::examples_axis_dim3_axis0);
+ l2_normalization_v1_2::get_examples_axis_dim3_axis0());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_dim3_axis0_neg) {
execute(l2_normalization_v1_2::CreateModel_axis_dim3_axis0_neg,
l2_normalization_v1_2::is_ignored_axis_dim3_axis0_neg,
- l2_normalization_v1_2::examples_axis_dim3_axis0_neg);
+ l2_normalization_v1_2::get_examples_axis_dim3_axis0_neg());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_dim3_axis1) {
execute(l2_normalization_v1_2::CreateModel_axis_dim3_axis1,
l2_normalization_v1_2::is_ignored_axis_dim3_axis1,
- l2_normalization_v1_2::examples_axis_dim3_axis1);
+ l2_normalization_v1_2::get_examples_axis_dim3_axis1());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_dim3_axis1_neg) {
execute(l2_normalization_v1_2::CreateModel_axis_dim3_axis1_neg,
l2_normalization_v1_2::is_ignored_axis_dim3_axis1_neg,
- l2_normalization_v1_2::examples_axis_dim3_axis1_neg);
+ l2_normalization_v1_2::get_examples_axis_dim3_axis1_neg());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_dim3_axis2) {
execute(l2_normalization_v1_2::CreateModel_axis_dim3_axis2,
l2_normalization_v1_2::is_ignored_axis_dim3_axis2,
- l2_normalization_v1_2::examples_axis_dim3_axis2);
+ l2_normalization_v1_2::get_examples_axis_dim3_axis2());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_dim3_axis2_neg) {
execute(l2_normalization_v1_2::CreateModel_axis_dim3_axis2_neg,
l2_normalization_v1_2::is_ignored_axis_dim3_axis2_neg,
- l2_normalization_v1_2::examples_axis_dim3_axis2_neg);
+ l2_normalization_v1_2::get_examples_axis_dim3_axis2_neg());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_dim2_axis0) {
execute(l2_normalization_v1_2::CreateModel_axis_dim2_axis0,
l2_normalization_v1_2::is_ignored_axis_dim2_axis0,
- l2_normalization_v1_2::examples_axis_dim2_axis0);
+ l2_normalization_v1_2::get_examples_axis_dim2_axis0());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_dim2_axis0_neg) {
execute(l2_normalization_v1_2::CreateModel_axis_dim2_axis0_neg,
l2_normalization_v1_2::is_ignored_axis_dim2_axis0_neg,
- l2_normalization_v1_2::examples_axis_dim2_axis0_neg);
+ l2_normalization_v1_2::get_examples_axis_dim2_axis0_neg());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_dim2_axis1) {
execute(l2_normalization_v1_2::CreateModel_axis_dim2_axis1,
l2_normalization_v1_2::is_ignored_axis_dim2_axis1,
- l2_normalization_v1_2::examples_axis_dim2_axis1);
+ l2_normalization_v1_2::get_examples_axis_dim2_axis1());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_dim2_axis1_neg) {
execute(l2_normalization_v1_2::CreateModel_axis_dim2_axis1_neg,
l2_normalization_v1_2::is_ignored_axis_dim2_axis1_neg,
- l2_normalization_v1_2::examples_axis_dim2_axis1_neg);
+ l2_normalization_v1_2::get_examples_axis_dim2_axis1_neg());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_dim1_axis0) {
execute(l2_normalization_v1_2::CreateModel_axis_dim1_axis0,
l2_normalization_v1_2::is_ignored_axis_dim1_axis0,
- l2_normalization_v1_2::examples_axis_dim1_axis0);
+ l2_normalization_v1_2::get_examples_axis_dim1_axis0());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_dim1_axis0_neg) {
execute(l2_normalization_v1_2::CreateModel_axis_dim1_axis0_neg,
l2_normalization_v1_2::is_ignored_axis_dim1_axis0_neg,
- l2_normalization_v1_2::examples_axis_dim1_axis0_neg);
+ l2_normalization_v1_2::get_examples_axis_dim1_axis0_neg());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_relaxed_dim4_axis0) {
execute(l2_normalization_v1_2::CreateModel_axis_relaxed_dim4_axis0,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis0,
- l2_normalization_v1_2::examples_axis_relaxed_dim4_axis0);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim4_axis0());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_relaxed_dim4_axis0_neg) {
execute(l2_normalization_v1_2::CreateModel_axis_relaxed_dim4_axis0_neg,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis0_neg,
- l2_normalization_v1_2::examples_axis_relaxed_dim4_axis0_neg);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim4_axis0_neg());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_relaxed_dim4_axis1) {
execute(l2_normalization_v1_2::CreateModel_axis_relaxed_dim4_axis1,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis1,
- l2_normalization_v1_2::examples_axis_relaxed_dim4_axis1);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim4_axis1());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_relaxed_dim4_axis1_neg) {
execute(l2_normalization_v1_2::CreateModel_axis_relaxed_dim4_axis1_neg,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis1_neg,
- l2_normalization_v1_2::examples_axis_relaxed_dim4_axis1_neg);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim4_axis1_neg());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_relaxed_dim4_axis2) {
execute(l2_normalization_v1_2::CreateModel_axis_relaxed_dim4_axis2,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis2,
- l2_normalization_v1_2::examples_axis_relaxed_dim4_axis2);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim4_axis2());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_relaxed_dim4_axis2_neg) {
execute(l2_normalization_v1_2::CreateModel_axis_relaxed_dim4_axis2_neg,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis2_neg,
- l2_normalization_v1_2::examples_axis_relaxed_dim4_axis2_neg);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim4_axis2_neg());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_relaxed_dim4_axis3) {
execute(l2_normalization_v1_2::CreateModel_axis_relaxed_dim4_axis3,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis3,
- l2_normalization_v1_2::examples_axis_relaxed_dim4_axis3);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim4_axis3());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_relaxed_dim4_axis3_neg) {
execute(l2_normalization_v1_2::CreateModel_axis_relaxed_dim4_axis3_neg,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis3_neg,
- l2_normalization_v1_2::examples_axis_relaxed_dim4_axis3_neg);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim4_axis3_neg());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_relaxed_dim3_axis0) {
execute(l2_normalization_v1_2::CreateModel_axis_relaxed_dim3_axis0,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis0,
- l2_normalization_v1_2::examples_axis_relaxed_dim3_axis0);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim3_axis0());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_relaxed_dim3_axis0_neg) {
execute(l2_normalization_v1_2::CreateModel_axis_relaxed_dim3_axis0_neg,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis0_neg,
- l2_normalization_v1_2::examples_axis_relaxed_dim3_axis0_neg);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim3_axis0_neg());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_relaxed_dim3_axis1) {
execute(l2_normalization_v1_2::CreateModel_axis_relaxed_dim3_axis1,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis1,
- l2_normalization_v1_2::examples_axis_relaxed_dim3_axis1);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim3_axis1());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_relaxed_dim3_axis1_neg) {
execute(l2_normalization_v1_2::CreateModel_axis_relaxed_dim3_axis1_neg,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis1_neg,
- l2_normalization_v1_2::examples_axis_relaxed_dim3_axis1_neg);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim3_axis1_neg());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_relaxed_dim3_axis2) {
execute(l2_normalization_v1_2::CreateModel_axis_relaxed_dim3_axis2,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis2,
- l2_normalization_v1_2::examples_axis_relaxed_dim3_axis2);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim3_axis2());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_relaxed_dim3_axis2_neg) {
execute(l2_normalization_v1_2::CreateModel_axis_relaxed_dim3_axis2_neg,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis2_neg,
- l2_normalization_v1_2::examples_axis_relaxed_dim3_axis2_neg);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim3_axis2_neg());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_relaxed_dim2_axis0) {
execute(l2_normalization_v1_2::CreateModel_axis_relaxed_dim2_axis0,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim2_axis0,
- l2_normalization_v1_2::examples_axis_relaxed_dim2_axis0);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim2_axis0());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_relaxed_dim2_axis0_neg) {
execute(l2_normalization_v1_2::CreateModel_axis_relaxed_dim2_axis0_neg,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim2_axis0_neg,
- l2_normalization_v1_2::examples_axis_relaxed_dim2_axis0_neg);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim2_axis0_neg());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_relaxed_dim2_axis1) {
execute(l2_normalization_v1_2::CreateModel_axis_relaxed_dim2_axis1,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim2_axis1,
- l2_normalization_v1_2::examples_axis_relaxed_dim2_axis1);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim2_axis1());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_relaxed_dim2_axis1_neg) {
execute(l2_normalization_v1_2::CreateModel_axis_relaxed_dim2_axis1_neg,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim2_axis1_neg,
- l2_normalization_v1_2::examples_axis_relaxed_dim2_axis1_neg);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim2_axis1_neg());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_relaxed_dim1_axis0) {
execute(l2_normalization_v1_2::CreateModel_axis_relaxed_dim1_axis0,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim1_axis0,
- l2_normalization_v1_2::examples_axis_relaxed_dim1_axis0);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim1_axis0());
}
TEST_F(GeneratedTests, l2_normalization_v1_2_axis_relaxed_dim1_axis0_neg) {
execute(l2_normalization_v1_2::CreateModel_axis_relaxed_dim1_axis0_neg,
l2_normalization_v1_2::is_ignored_axis_relaxed_dim1_axis0_neg,
- l2_normalization_v1_2::examples_axis_relaxed_dim1_axis0_neg);
+ l2_normalization_v1_2::get_examples_axis_relaxed_dim1_axis0_neg());
}
diff --git a/nn/runtime/test/generated/tests/l2_pool_float.mod.py.cpp b/nn/runtime/test/generated/tests/l2_pool_float.mod.py.cpp
index fe8dfb9..a9b6ec0 100644
--- a/nn/runtime/test/generated/tests/l2_pool_float.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/l2_pool_float.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, l2_pool_float) {
execute(l2_pool_float::CreateModel,
l2_pool_float::is_ignored,
- l2_pool_float::examples);
+ l2_pool_float::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/l2_pool_float_2.mod.py.cpp b/nn/runtime/test/generated/tests/l2_pool_float_2.mod.py.cpp
index 5032a2f..03b7cbd 100644
--- a/nn/runtime/test/generated/tests/l2_pool_float_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/l2_pool_float_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, l2_pool_float_2) {
execute(l2_pool_float_2::CreateModel,
l2_pool_float_2::is_ignored,
- l2_pool_float_2::examples);
+ l2_pool_float_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/l2_pool_float_2_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/l2_pool_float_2_relaxed.mod.py.cpp
index bc7c9b3..67c8edb 100644
--- a/nn/runtime/test/generated/tests/l2_pool_float_2_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/l2_pool_float_2_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, l2_pool_float_2_relaxed) {
execute(l2_pool_float_2_relaxed::CreateModel,
l2_pool_float_2_relaxed::is_ignored,
- l2_pool_float_2_relaxed::examples);
+ l2_pool_float_2_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/l2_pool_float_large.mod.py.cpp b/nn/runtime/test/generated/tests/l2_pool_float_large.mod.py.cpp
index 3396ba7..7bc9aa3 100644
--- a/nn/runtime/test/generated/tests/l2_pool_float_large.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/l2_pool_float_large.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, l2_pool_float_large) {
execute(l2_pool_float_large::CreateModel,
l2_pool_float_large::is_ignored,
- l2_pool_float_large::examples);
+ l2_pool_float_large::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/l2_pool_float_large_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/l2_pool_float_large_relaxed.mod.py.cpp
index f243d8b..eb36ce5 100644
--- a/nn/runtime/test/generated/tests/l2_pool_float_large_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/l2_pool_float_large_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, l2_pool_float_large_relaxed) {
execute(l2_pool_float_large_relaxed::CreateModel,
l2_pool_float_large_relaxed::is_ignored,
- l2_pool_float_large_relaxed::examples);
+ l2_pool_float_large_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/l2_pool_float_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/l2_pool_float_relaxed.mod.py.cpp
index c631dd1..3a0de8c 100644
--- a/nn/runtime/test/generated/tests/l2_pool_float_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/l2_pool_float_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, l2_pool_float_relaxed) {
execute(l2_pool_float_relaxed::CreateModel,
l2_pool_float_relaxed::is_ignored,
- l2_pool_float_relaxed::examples);
+ l2_pool_float_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/l2_pool_v1_2.mod.py.cpp b/nn/runtime/test/generated/tests/l2_pool_v1_2.mod.py.cpp
index 263087d..1a5ee95 100644
--- a/nn/runtime/test/generated/tests/l2_pool_v1_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/l2_pool_v1_2.mod.py.cpp
@@ -12,72 +12,72 @@
TEST_F(GeneratedTests, l2_pool_v1_2_nhwc) {
execute(l2_pool_v1_2::CreateModel_nhwc,
l2_pool_v1_2::is_ignored_nhwc,
- l2_pool_v1_2::examples_nhwc);
+ l2_pool_v1_2::get_examples_nhwc());
}
TEST_F(GeneratedTests, l2_pool_v1_2_nhwc_relaxed) {
execute(l2_pool_v1_2::CreateModel_nhwc_relaxed,
l2_pool_v1_2::is_ignored_nhwc_relaxed,
- l2_pool_v1_2::examples_nhwc_relaxed);
+ l2_pool_v1_2::get_examples_nhwc_relaxed());
}
TEST_F(GeneratedTests, l2_pool_v1_2_nchw) {
execute(l2_pool_v1_2::CreateModel_nchw,
l2_pool_v1_2::is_ignored_nchw,
- l2_pool_v1_2::examples_nchw);
+ l2_pool_v1_2::get_examples_nchw());
}
TEST_F(GeneratedTests, l2_pool_v1_2_nchw_relaxed) {
execute(l2_pool_v1_2::CreateModel_nchw_relaxed,
l2_pool_v1_2::is_ignored_nchw_relaxed,
- l2_pool_v1_2::examples_nchw_relaxed);
+ l2_pool_v1_2::get_examples_nchw_relaxed());
}
TEST_F(GeneratedTests, l2_pool_v1_2_nhwc_2) {
execute(l2_pool_v1_2::CreateModel_nhwc_2,
l2_pool_v1_2::is_ignored_nhwc_2,
- l2_pool_v1_2::examples_nhwc_2);
+ l2_pool_v1_2::get_examples_nhwc_2());
}
TEST_F(GeneratedTests, l2_pool_v1_2_nhwc_relaxed_2) {
execute(l2_pool_v1_2::CreateModel_nhwc_relaxed_2,
l2_pool_v1_2::is_ignored_nhwc_relaxed_2,
- l2_pool_v1_2::examples_nhwc_relaxed_2);
+ l2_pool_v1_2::get_examples_nhwc_relaxed_2());
}
TEST_F(GeneratedTests, l2_pool_v1_2_nchw_2) {
execute(l2_pool_v1_2::CreateModel_nchw_2,
l2_pool_v1_2::is_ignored_nchw_2,
- l2_pool_v1_2::examples_nchw_2);
+ l2_pool_v1_2::get_examples_nchw_2());
}
TEST_F(GeneratedTests, l2_pool_v1_2_nchw_relaxed_2) {
execute(l2_pool_v1_2::CreateModel_nchw_relaxed_2,
l2_pool_v1_2::is_ignored_nchw_relaxed_2,
- l2_pool_v1_2::examples_nchw_relaxed_2);
+ l2_pool_v1_2::get_examples_nchw_relaxed_2());
}
TEST_F(GeneratedTests, l2_pool_v1_2_large_nhwc) {
execute(l2_pool_v1_2::CreateModel_large_nhwc,
l2_pool_v1_2::is_ignored_large_nhwc,
- l2_pool_v1_2::examples_large_nhwc);
+ l2_pool_v1_2::get_examples_large_nhwc());
}
TEST_F(GeneratedTests, l2_pool_v1_2_large_nhwc_relaxed) {
execute(l2_pool_v1_2::CreateModel_large_nhwc_relaxed,
l2_pool_v1_2::is_ignored_large_nhwc_relaxed,
- l2_pool_v1_2::examples_large_nhwc_relaxed);
+ l2_pool_v1_2::get_examples_large_nhwc_relaxed());
}
TEST_F(GeneratedTests, l2_pool_v1_2_large_nchw) {
execute(l2_pool_v1_2::CreateModel_large_nchw,
l2_pool_v1_2::is_ignored_large_nchw,
- l2_pool_v1_2::examples_large_nchw);
+ l2_pool_v1_2::get_examples_large_nchw());
}
TEST_F(GeneratedTests, l2_pool_v1_2_large_nchw_relaxed) {
execute(l2_pool_v1_2::CreateModel_large_nchw_relaxed,
l2_pool_v1_2::is_ignored_large_nchw_relaxed,
- l2_pool_v1_2::examples_large_nchw_relaxed);
+ l2_pool_v1_2::get_examples_large_nchw_relaxed());
}
diff --git a/nn/runtime/test/generated/tests/layer_norm_lstm.mod.py.cpp b/nn/runtime/test/generated/tests/layer_norm_lstm.mod.py.cpp
index 5cc89db..710f3ce 100644
--- a/nn/runtime/test/generated/tests/layer_norm_lstm.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/layer_norm_lstm.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, layer_norm_lstm) {
execute(layer_norm_lstm::CreateModel,
layer_norm_lstm::is_ignored,
- layer_norm_lstm::examples);
+ layer_norm_lstm::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/local_response_norm_float_1.mod.py.cpp b/nn/runtime/test/generated/tests/local_response_norm_float_1.mod.py.cpp
index 7282ccc..1bd8fc9 100644
--- a/nn/runtime/test/generated/tests/local_response_norm_float_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/local_response_norm_float_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, local_response_norm_float_1) {
execute(local_response_norm_float_1::CreateModel,
local_response_norm_float_1::is_ignored,
- local_response_norm_float_1::examples);
+ local_response_norm_float_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/local_response_norm_float_1_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/local_response_norm_float_1_relaxed.mod.py.cpp
index fd213fa..4762bda 100644
--- a/nn/runtime/test/generated/tests/local_response_norm_float_1_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/local_response_norm_float_1_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, local_response_norm_float_1_relaxed) {
execute(local_response_norm_float_1_relaxed::CreateModel,
local_response_norm_float_1_relaxed::is_ignored,
- local_response_norm_float_1_relaxed::examples);
+ local_response_norm_float_1_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/local_response_norm_float_2.mod.py.cpp b/nn/runtime/test/generated/tests/local_response_norm_float_2.mod.py.cpp
index 091585f..b83b98d 100644
--- a/nn/runtime/test/generated/tests/local_response_norm_float_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/local_response_norm_float_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, local_response_norm_float_2) {
execute(local_response_norm_float_2::CreateModel,
local_response_norm_float_2::is_ignored,
- local_response_norm_float_2::examples);
+ local_response_norm_float_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/local_response_norm_float_2_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/local_response_norm_float_2_relaxed.mod.py.cpp
index cab8b5c..c0898b7 100644
--- a/nn/runtime/test/generated/tests/local_response_norm_float_2_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/local_response_norm_float_2_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, local_response_norm_float_2_relaxed) {
execute(local_response_norm_float_2_relaxed::CreateModel,
local_response_norm_float_2_relaxed::is_ignored,
- local_response_norm_float_2_relaxed::examples);
+ local_response_norm_float_2_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/local_response_norm_float_3.mod.py.cpp b/nn/runtime/test/generated/tests/local_response_norm_float_3.mod.py.cpp
index 08f8c87..3c017bc 100644
--- a/nn/runtime/test/generated/tests/local_response_norm_float_3.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/local_response_norm_float_3.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, local_response_norm_float_3) {
execute(local_response_norm_float_3::CreateModel,
local_response_norm_float_3::is_ignored,
- local_response_norm_float_3::examples);
+ local_response_norm_float_3::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/local_response_norm_float_3_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/local_response_norm_float_3_relaxed.mod.py.cpp
index b799b34..a17c156 100644
--- a/nn/runtime/test/generated/tests/local_response_norm_float_3_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/local_response_norm_float_3_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, local_response_norm_float_3_relaxed) {
execute(local_response_norm_float_3_relaxed::CreateModel,
local_response_norm_float_3_relaxed::is_ignored,
- local_response_norm_float_3_relaxed::examples);
+ local_response_norm_float_3_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/local_response_norm_float_4.mod.py.cpp b/nn/runtime/test/generated/tests/local_response_norm_float_4.mod.py.cpp
index 4bb303b..21d4357 100644
--- a/nn/runtime/test/generated/tests/local_response_norm_float_4.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/local_response_norm_float_4.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, local_response_norm_float_4) {
execute(local_response_norm_float_4::CreateModel,
local_response_norm_float_4::is_ignored,
- local_response_norm_float_4::examples);
+ local_response_norm_float_4::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/local_response_norm_float_4_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/local_response_norm_float_4_relaxed.mod.py.cpp
index 6481470..30febe1 100644
--- a/nn/runtime/test/generated/tests/local_response_norm_float_4_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/local_response_norm_float_4_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, local_response_norm_float_4_relaxed) {
execute(local_response_norm_float_4_relaxed::CreateModel,
local_response_norm_float_4_relaxed::is_ignored,
- local_response_norm_float_4_relaxed::examples);
+ local_response_norm_float_4_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/local_response_normalization_v1_2.mod.py.cpp b/nn/runtime/test/generated/tests/local_response_normalization_v1_2.mod.py.cpp
index eef6f86..160da4c 100644
--- a/nn/runtime/test/generated/tests/local_response_normalization_v1_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/local_response_normalization_v1_2.mod.py.cpp
@@ -12,756 +12,756 @@
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim4_axis0) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim4_axis0,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis0,
- local_response_normalization_v1_2::examples_axis_dim4_axis0);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis0());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim4_axis0_neg) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim4_axis0_neg,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis0_neg,
- local_response_normalization_v1_2::examples_axis_dim4_axis0_neg);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis0_neg());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim4_axis1) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim4_axis1,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis1,
- local_response_normalization_v1_2::examples_axis_dim4_axis1);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis1());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim4_axis1_neg) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim4_axis1_neg,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis1_neg,
- local_response_normalization_v1_2::examples_axis_dim4_axis1_neg);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis1_neg());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim4_axis2) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim4_axis2,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis2,
- local_response_normalization_v1_2::examples_axis_dim4_axis2);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim4_axis2_neg) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim4_axis2_neg,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis2_neg,
- local_response_normalization_v1_2::examples_axis_dim4_axis2_neg);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis2_neg());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim4_axis3) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim4_axis3,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis3,
- local_response_normalization_v1_2::examples_axis_dim4_axis3);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim4_axis3_neg) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim4_axis3_neg,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis3_neg,
- local_response_normalization_v1_2::examples_axis_dim4_axis3_neg);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis3_neg());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim3_axis0) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim3_axis0,
local_response_normalization_v1_2::is_ignored_axis_dim3_axis0,
- local_response_normalization_v1_2::examples_axis_dim3_axis0);
+ local_response_normalization_v1_2::get_examples_axis_dim3_axis0());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim3_axis0_neg) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim3_axis0_neg,
local_response_normalization_v1_2::is_ignored_axis_dim3_axis0_neg,
- local_response_normalization_v1_2::examples_axis_dim3_axis0_neg);
+ local_response_normalization_v1_2::get_examples_axis_dim3_axis0_neg());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim3_axis1) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim3_axis1,
local_response_normalization_v1_2::is_ignored_axis_dim3_axis1,
- local_response_normalization_v1_2::examples_axis_dim3_axis1);
+ local_response_normalization_v1_2::get_examples_axis_dim3_axis1());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim3_axis1_neg) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim3_axis1_neg,
local_response_normalization_v1_2::is_ignored_axis_dim3_axis1_neg,
- local_response_normalization_v1_2::examples_axis_dim3_axis1_neg);
+ local_response_normalization_v1_2::get_examples_axis_dim3_axis1_neg());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim3_axis2) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim3_axis2,
local_response_normalization_v1_2::is_ignored_axis_dim3_axis2,
- local_response_normalization_v1_2::examples_axis_dim3_axis2);
+ local_response_normalization_v1_2::get_examples_axis_dim3_axis2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim3_axis2_neg) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim3_axis2_neg,
local_response_normalization_v1_2::is_ignored_axis_dim3_axis2_neg,
- local_response_normalization_v1_2::examples_axis_dim3_axis2_neg);
+ local_response_normalization_v1_2::get_examples_axis_dim3_axis2_neg());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim2_axis0) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim2_axis0,
local_response_normalization_v1_2::is_ignored_axis_dim2_axis0,
- local_response_normalization_v1_2::examples_axis_dim2_axis0);
+ local_response_normalization_v1_2::get_examples_axis_dim2_axis0());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim2_axis0_neg) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim2_axis0_neg,
local_response_normalization_v1_2::is_ignored_axis_dim2_axis0_neg,
- local_response_normalization_v1_2::examples_axis_dim2_axis0_neg);
+ local_response_normalization_v1_2::get_examples_axis_dim2_axis0_neg());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim2_axis1) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim2_axis1,
local_response_normalization_v1_2::is_ignored_axis_dim2_axis1,
- local_response_normalization_v1_2::examples_axis_dim2_axis1);
+ local_response_normalization_v1_2::get_examples_axis_dim2_axis1());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim2_axis1_neg) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim2_axis1_neg,
local_response_normalization_v1_2::is_ignored_axis_dim2_axis1_neg,
- local_response_normalization_v1_2::examples_axis_dim2_axis1_neg);
+ local_response_normalization_v1_2::get_examples_axis_dim2_axis1_neg());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim1_axis0) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim1_axis0,
local_response_normalization_v1_2::is_ignored_axis_dim1_axis0,
- local_response_normalization_v1_2::examples_axis_dim1_axis0);
+ local_response_normalization_v1_2::get_examples_axis_dim1_axis0());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim1_axis0_neg) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim1_axis0_neg,
local_response_normalization_v1_2::is_ignored_axis_dim1_axis0_neg,
- local_response_normalization_v1_2::examples_axis_dim1_axis0_neg);
+ local_response_normalization_v1_2::get_examples_axis_dim1_axis0_neg());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim4_axis0) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim4_axis0,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis0,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis0);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis0());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim4_axis0_neg) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim4_axis0_neg,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis0_neg,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis0_neg);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis0_neg());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim4_axis1) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim4_axis1,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis1,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis1);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis1());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim4_axis1_neg) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim4_axis1_neg,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis1_neg,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis1_neg);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis1_neg());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim4_axis2) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim4_axis2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim4_axis2_neg) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim4_axis2_neg,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis2_neg,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis2_neg);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis2_neg());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim4_axis3) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim4_axis3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim4_axis3_neg) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim4_axis3_neg,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis3_neg,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis3_neg);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis3_neg());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim3_axis0) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim3_axis0,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis0,
- local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis0);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis0());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim3_axis0_neg) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim3_axis0_neg,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis0_neg,
- local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis0_neg);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis0_neg());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim3_axis1) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim3_axis1,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis1,
- local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis1);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis1());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim3_axis1_neg) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim3_axis1_neg,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis1_neg,
- local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis1_neg);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis1_neg());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim3_axis2) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim3_axis2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim3_axis2_neg) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim3_axis2_neg,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis2_neg,
- local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis2_neg);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis2_neg());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim2_axis0) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim2_axis0,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim2_axis0,
- local_response_normalization_v1_2::examples_axis_relaxed_dim2_axis0);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim2_axis0());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim2_axis0_neg) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim2_axis0_neg,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim2_axis0_neg,
- local_response_normalization_v1_2::examples_axis_relaxed_dim2_axis0_neg);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim2_axis0_neg());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim2_axis1) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim2_axis1,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim2_axis1,
- local_response_normalization_v1_2::examples_axis_relaxed_dim2_axis1);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim2_axis1());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim2_axis1_neg) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim2_axis1_neg,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim2_axis1_neg,
- local_response_normalization_v1_2::examples_axis_relaxed_dim2_axis1_neg);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim2_axis1_neg());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim1_axis0) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim1_axis0,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim1_axis0,
- local_response_normalization_v1_2::examples_axis_relaxed_dim1_axis0);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim1_axis0());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim1_axis0_neg) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim1_axis0_neg,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim1_axis0_neg,
- local_response_normalization_v1_2::examples_axis_relaxed_dim1_axis0_neg);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim1_axis0_neg());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim4_axis0_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim4_axis0_2,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis0_2,
- local_response_normalization_v1_2::examples_axis_dim4_axis0_2);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis0_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim4_axis0_neg_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim4_axis0_neg_2,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis0_neg_2,
- local_response_normalization_v1_2::examples_axis_dim4_axis0_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis0_neg_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim4_axis1_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim4_axis1_2,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis1_2,
- local_response_normalization_v1_2::examples_axis_dim4_axis1_2);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis1_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim4_axis1_neg_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim4_axis1_neg_2,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis1_neg_2,
- local_response_normalization_v1_2::examples_axis_dim4_axis1_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis1_neg_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim4_axis2_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim4_axis2_2,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis2_2,
- local_response_normalization_v1_2::examples_axis_dim4_axis2_2);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis2_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim4_axis2_neg_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim4_axis2_neg_2,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis2_neg_2,
- local_response_normalization_v1_2::examples_axis_dim4_axis2_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis2_neg_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim4_axis3_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim4_axis3_2,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis3_2,
- local_response_normalization_v1_2::examples_axis_dim4_axis3_2);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis3_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim4_axis3_neg_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim4_axis3_neg_2,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis3_neg_2,
- local_response_normalization_v1_2::examples_axis_dim4_axis3_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis3_neg_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim3_axis0_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim3_axis0_2,
local_response_normalization_v1_2::is_ignored_axis_dim3_axis0_2,
- local_response_normalization_v1_2::examples_axis_dim3_axis0_2);
+ local_response_normalization_v1_2::get_examples_axis_dim3_axis0_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim3_axis0_neg_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim3_axis0_neg_2,
local_response_normalization_v1_2::is_ignored_axis_dim3_axis0_neg_2,
- local_response_normalization_v1_2::examples_axis_dim3_axis0_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_dim3_axis0_neg_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim3_axis1_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim3_axis1_2,
local_response_normalization_v1_2::is_ignored_axis_dim3_axis1_2,
- local_response_normalization_v1_2::examples_axis_dim3_axis1_2);
+ local_response_normalization_v1_2::get_examples_axis_dim3_axis1_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim3_axis1_neg_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim3_axis1_neg_2,
local_response_normalization_v1_2::is_ignored_axis_dim3_axis1_neg_2,
- local_response_normalization_v1_2::examples_axis_dim3_axis1_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_dim3_axis1_neg_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim3_axis2_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim3_axis2_2,
local_response_normalization_v1_2::is_ignored_axis_dim3_axis2_2,
- local_response_normalization_v1_2::examples_axis_dim3_axis2_2);
+ local_response_normalization_v1_2::get_examples_axis_dim3_axis2_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim3_axis2_neg_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim3_axis2_neg_2,
local_response_normalization_v1_2::is_ignored_axis_dim3_axis2_neg_2,
- local_response_normalization_v1_2::examples_axis_dim3_axis2_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_dim3_axis2_neg_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim2_axis0_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim2_axis0_2,
local_response_normalization_v1_2::is_ignored_axis_dim2_axis0_2,
- local_response_normalization_v1_2::examples_axis_dim2_axis0_2);
+ local_response_normalization_v1_2::get_examples_axis_dim2_axis0_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim2_axis0_neg_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim2_axis0_neg_2,
local_response_normalization_v1_2::is_ignored_axis_dim2_axis0_neg_2,
- local_response_normalization_v1_2::examples_axis_dim2_axis0_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_dim2_axis0_neg_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim2_axis1_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim2_axis1_2,
local_response_normalization_v1_2::is_ignored_axis_dim2_axis1_2,
- local_response_normalization_v1_2::examples_axis_dim2_axis1_2);
+ local_response_normalization_v1_2::get_examples_axis_dim2_axis1_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim2_axis1_neg_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim2_axis1_neg_2,
local_response_normalization_v1_2::is_ignored_axis_dim2_axis1_neg_2,
- local_response_normalization_v1_2::examples_axis_dim2_axis1_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_dim2_axis1_neg_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim1_axis0_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim1_axis0_2,
local_response_normalization_v1_2::is_ignored_axis_dim1_axis0_2,
- local_response_normalization_v1_2::examples_axis_dim1_axis0_2);
+ local_response_normalization_v1_2::get_examples_axis_dim1_axis0_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim1_axis0_neg_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim1_axis0_neg_2,
local_response_normalization_v1_2::is_ignored_axis_dim1_axis0_neg_2,
- local_response_normalization_v1_2::examples_axis_dim1_axis0_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_dim1_axis0_neg_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim4_axis0_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim4_axis0_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis0_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis0_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis0_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim4_axis0_neg_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim4_axis0_neg_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis0_neg_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis0_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis0_neg_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim4_axis1_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim4_axis1_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis1_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis1_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis1_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim4_axis1_neg_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim4_axis1_neg_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis1_neg_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis1_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis1_neg_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim4_axis2_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim4_axis2_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis2_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis2_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis2_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim4_axis2_neg_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim4_axis2_neg_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis2_neg_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis2_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis2_neg_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim4_axis3_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim4_axis3_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis3_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis3_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis3_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim4_axis3_neg_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim4_axis3_neg_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis3_neg_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis3_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis3_neg_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim3_axis0_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim3_axis0_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis0_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis0_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis0_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim3_axis0_neg_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim3_axis0_neg_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis0_neg_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis0_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis0_neg_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim3_axis1_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim3_axis1_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis1_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis1_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis1_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim3_axis1_neg_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim3_axis1_neg_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis1_neg_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis1_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis1_neg_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim3_axis2_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim3_axis2_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis2_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis2_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis2_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim3_axis2_neg_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim3_axis2_neg_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis2_neg_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis2_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis2_neg_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim2_axis0_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim2_axis0_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim2_axis0_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim2_axis0_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim2_axis0_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim2_axis0_neg_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim2_axis0_neg_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim2_axis0_neg_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim2_axis0_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim2_axis0_neg_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim2_axis1_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim2_axis1_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim2_axis1_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim2_axis1_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim2_axis1_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim2_axis1_neg_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim2_axis1_neg_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim2_axis1_neg_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim2_axis1_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim2_axis1_neg_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim1_axis0_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim1_axis0_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim1_axis0_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim1_axis0_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim1_axis0_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim1_axis0_neg_2) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim1_axis0_neg_2,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim1_axis0_neg_2,
- local_response_normalization_v1_2::examples_axis_relaxed_dim1_axis0_neg_2);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim1_axis0_neg_2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim4_axis0_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim4_axis0_3,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis0_3,
- local_response_normalization_v1_2::examples_axis_dim4_axis0_3);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis0_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim4_axis0_neg_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim4_axis0_neg_3,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis0_neg_3,
- local_response_normalization_v1_2::examples_axis_dim4_axis0_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis0_neg_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim4_axis1_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim4_axis1_3,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis1_3,
- local_response_normalization_v1_2::examples_axis_dim4_axis1_3);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis1_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim4_axis1_neg_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim4_axis1_neg_3,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis1_neg_3,
- local_response_normalization_v1_2::examples_axis_dim4_axis1_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis1_neg_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim4_axis2_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim4_axis2_3,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis2_3,
- local_response_normalization_v1_2::examples_axis_dim4_axis2_3);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis2_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim4_axis2_neg_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim4_axis2_neg_3,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis2_neg_3,
- local_response_normalization_v1_2::examples_axis_dim4_axis2_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis2_neg_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim4_axis3_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim4_axis3_3,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis3_3,
- local_response_normalization_v1_2::examples_axis_dim4_axis3_3);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis3_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim4_axis3_neg_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim4_axis3_neg_3,
local_response_normalization_v1_2::is_ignored_axis_dim4_axis3_neg_3,
- local_response_normalization_v1_2::examples_axis_dim4_axis3_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_dim4_axis3_neg_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim3_axis0_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim3_axis0_3,
local_response_normalization_v1_2::is_ignored_axis_dim3_axis0_3,
- local_response_normalization_v1_2::examples_axis_dim3_axis0_3);
+ local_response_normalization_v1_2::get_examples_axis_dim3_axis0_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim3_axis0_neg_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim3_axis0_neg_3,
local_response_normalization_v1_2::is_ignored_axis_dim3_axis0_neg_3,
- local_response_normalization_v1_2::examples_axis_dim3_axis0_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_dim3_axis0_neg_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim3_axis1_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim3_axis1_3,
local_response_normalization_v1_2::is_ignored_axis_dim3_axis1_3,
- local_response_normalization_v1_2::examples_axis_dim3_axis1_3);
+ local_response_normalization_v1_2::get_examples_axis_dim3_axis1_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim3_axis1_neg_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim3_axis1_neg_3,
local_response_normalization_v1_2::is_ignored_axis_dim3_axis1_neg_3,
- local_response_normalization_v1_2::examples_axis_dim3_axis1_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_dim3_axis1_neg_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim3_axis2_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim3_axis2_3,
local_response_normalization_v1_2::is_ignored_axis_dim3_axis2_3,
- local_response_normalization_v1_2::examples_axis_dim3_axis2_3);
+ local_response_normalization_v1_2::get_examples_axis_dim3_axis2_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim3_axis2_neg_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim3_axis2_neg_3,
local_response_normalization_v1_2::is_ignored_axis_dim3_axis2_neg_3,
- local_response_normalization_v1_2::examples_axis_dim3_axis2_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_dim3_axis2_neg_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim2_axis0_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim2_axis0_3,
local_response_normalization_v1_2::is_ignored_axis_dim2_axis0_3,
- local_response_normalization_v1_2::examples_axis_dim2_axis0_3);
+ local_response_normalization_v1_2::get_examples_axis_dim2_axis0_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim2_axis0_neg_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim2_axis0_neg_3,
local_response_normalization_v1_2::is_ignored_axis_dim2_axis0_neg_3,
- local_response_normalization_v1_2::examples_axis_dim2_axis0_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_dim2_axis0_neg_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim2_axis1_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim2_axis1_3,
local_response_normalization_v1_2::is_ignored_axis_dim2_axis1_3,
- local_response_normalization_v1_2::examples_axis_dim2_axis1_3);
+ local_response_normalization_v1_2::get_examples_axis_dim2_axis1_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim2_axis1_neg_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim2_axis1_neg_3,
local_response_normalization_v1_2::is_ignored_axis_dim2_axis1_neg_3,
- local_response_normalization_v1_2::examples_axis_dim2_axis1_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_dim2_axis1_neg_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim1_axis0_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim1_axis0_3,
local_response_normalization_v1_2::is_ignored_axis_dim1_axis0_3,
- local_response_normalization_v1_2::examples_axis_dim1_axis0_3);
+ local_response_normalization_v1_2::get_examples_axis_dim1_axis0_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_dim1_axis0_neg_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_dim1_axis0_neg_3,
local_response_normalization_v1_2::is_ignored_axis_dim1_axis0_neg_3,
- local_response_normalization_v1_2::examples_axis_dim1_axis0_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_dim1_axis0_neg_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim4_axis0_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim4_axis0_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis0_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis0_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis0_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim4_axis0_neg_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim4_axis0_neg_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis0_neg_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis0_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis0_neg_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim4_axis1_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim4_axis1_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis1_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis1_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis1_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim4_axis1_neg_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim4_axis1_neg_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis1_neg_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis1_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis1_neg_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim4_axis2_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim4_axis2_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis2_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis2_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis2_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim4_axis2_neg_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim4_axis2_neg_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis2_neg_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis2_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis2_neg_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim4_axis3_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim4_axis3_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis3_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis3_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis3_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim4_axis3_neg_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim4_axis3_neg_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim4_axis3_neg_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim4_axis3_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim4_axis3_neg_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim3_axis0_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim3_axis0_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis0_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis0_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis0_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim3_axis0_neg_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim3_axis0_neg_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis0_neg_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis0_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis0_neg_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim3_axis1_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim3_axis1_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis1_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis1_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis1_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim3_axis1_neg_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim3_axis1_neg_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis1_neg_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis1_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis1_neg_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim3_axis2_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim3_axis2_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis2_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis2_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis2_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim3_axis2_neg_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim3_axis2_neg_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim3_axis2_neg_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim3_axis2_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim3_axis2_neg_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim2_axis0_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim2_axis0_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim2_axis0_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim2_axis0_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim2_axis0_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim2_axis0_neg_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim2_axis0_neg_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim2_axis0_neg_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim2_axis0_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim2_axis0_neg_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim2_axis1_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim2_axis1_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim2_axis1_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim2_axis1_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim2_axis1_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim2_axis1_neg_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim2_axis1_neg_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim2_axis1_neg_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim2_axis1_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim2_axis1_neg_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim1_axis0_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim1_axis0_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim1_axis0_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim1_axis0_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim1_axis0_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_axis_relaxed_dim1_axis0_neg_3) {
execute(local_response_normalization_v1_2::CreateModel_axis_relaxed_dim1_axis0_neg_3,
local_response_normalization_v1_2::is_ignored_axis_relaxed_dim1_axis0_neg_3,
- local_response_normalization_v1_2::examples_axis_relaxed_dim1_axis0_neg_3);
+ local_response_normalization_v1_2::get_examples_axis_relaxed_dim1_axis0_neg_3());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_dim1_axis0) {
execute(local_response_normalization_v1_2::CreateModel_dim1_axis0,
local_response_normalization_v1_2::is_ignored_dim1_axis0,
- local_response_normalization_v1_2::examples_dim1_axis0);
+ local_response_normalization_v1_2::get_examples_dim1_axis0());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_dim2_axis1) {
execute(local_response_normalization_v1_2::CreateModel_dim2_axis1,
local_response_normalization_v1_2::is_ignored_dim2_axis1,
- local_response_normalization_v1_2::examples_dim2_axis1);
+ local_response_normalization_v1_2::get_examples_dim2_axis1());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_dim3_axis2) {
execute(local_response_normalization_v1_2::CreateModel_dim3_axis2,
local_response_normalization_v1_2::is_ignored_dim3_axis2,
- local_response_normalization_v1_2::examples_dim3_axis2);
+ local_response_normalization_v1_2::get_examples_dim3_axis2());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_relaxed_dim1_axis0) {
execute(local_response_normalization_v1_2::CreateModel_relaxed_dim1_axis0,
local_response_normalization_v1_2::is_ignored_relaxed_dim1_axis0,
- local_response_normalization_v1_2::examples_relaxed_dim1_axis0);
+ local_response_normalization_v1_2::get_examples_relaxed_dim1_axis0());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_relaxed_dim2_axis1) {
execute(local_response_normalization_v1_2::CreateModel_relaxed_dim2_axis1,
local_response_normalization_v1_2::is_ignored_relaxed_dim2_axis1,
- local_response_normalization_v1_2::examples_relaxed_dim2_axis1);
+ local_response_normalization_v1_2::get_examples_relaxed_dim2_axis1());
}
TEST_F(GeneratedTests, local_response_normalization_v1_2_relaxed_dim3_axis2) {
execute(local_response_normalization_v1_2::CreateModel_relaxed_dim3_axis2,
local_response_normalization_v1_2::is_ignored_relaxed_dim3_axis2,
- local_response_normalization_v1_2::examples_relaxed_dim3_axis2);
+ local_response_normalization_v1_2::get_examples_relaxed_dim3_axis2());
}
diff --git a/nn/runtime/test/generated/tests/logistic_float16_1.mod.py.cpp b/nn/runtime/test/generated/tests/logistic_float16_1.mod.py.cpp
index ad4fe96..7ddf368 100644
--- a/nn/runtime/test/generated/tests/logistic_float16_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/logistic_float16_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, logistic_float16_1) {
execute(logistic_float16_1::CreateModel,
logistic_float16_1::is_ignored,
- logistic_float16_1::examples);
+ logistic_float16_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/logistic_float16_2.mod.py.cpp b/nn/runtime/test/generated/tests/logistic_float16_2.mod.py.cpp
index c798434..f4b34f4 100644
--- a/nn/runtime/test/generated/tests/logistic_float16_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/logistic_float16_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, logistic_float16_2) {
execute(logistic_float16_2::CreateModel,
logistic_float16_2::is_ignored,
- logistic_float16_2::examples);
+ logistic_float16_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/logistic_float_1.mod.py.cpp b/nn/runtime/test/generated/tests/logistic_float_1.mod.py.cpp
index 850d348..f4950da9 100644
--- a/nn/runtime/test/generated/tests/logistic_float_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/logistic_float_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, logistic_float_1) {
execute(logistic_float_1::CreateModel,
logistic_float_1::is_ignored,
- logistic_float_1::examples);
+ logistic_float_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/logistic_float_1_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/logistic_float_1_relaxed.mod.py.cpp
index c12d6d0..859836b 100644
--- a/nn/runtime/test/generated/tests/logistic_float_1_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/logistic_float_1_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, logistic_float_1_relaxed) {
execute(logistic_float_1_relaxed::CreateModel,
logistic_float_1_relaxed::is_ignored,
- logistic_float_1_relaxed::examples);
+ logistic_float_1_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/logistic_float_2.mod.py.cpp b/nn/runtime/test/generated/tests/logistic_float_2.mod.py.cpp
index 9a1ce4a..5a53b7a 100644
--- a/nn/runtime/test/generated/tests/logistic_float_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/logistic_float_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, logistic_float_2) {
execute(logistic_float_2::CreateModel,
logistic_float_2::is_ignored,
- logistic_float_2::examples);
+ logistic_float_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/logistic_float_2_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/logistic_float_2_relaxed.mod.py.cpp
index ed26f56..fdcd5cb 100644
--- a/nn/runtime/test/generated/tests/logistic_float_2_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/logistic_float_2_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, logistic_float_2_relaxed) {
execute(logistic_float_2_relaxed::CreateModel,
logistic_float_2_relaxed::is_ignored,
- logistic_float_2_relaxed::examples);
+ logistic_float_2_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/logistic_quant8_1.mod.py.cpp b/nn/runtime/test/generated/tests/logistic_quant8_1.mod.py.cpp
index f87765c..d63096b 100644
--- a/nn/runtime/test/generated/tests/logistic_quant8_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/logistic_quant8_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, logistic_quant8_1) {
execute(logistic_quant8_1::CreateModel,
logistic_quant8_1::is_ignored,
- logistic_quant8_1::examples);
+ logistic_quant8_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/logistic_quant8_2.mod.py.cpp b/nn/runtime/test/generated/tests/logistic_quant8_2.mod.py.cpp
index 35311c6..26dbc91 100644
--- a/nn/runtime/test/generated/tests/logistic_quant8_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/logistic_quant8_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, logistic_quant8_2) {
execute(logistic_quant8_2::CreateModel,
logistic_quant8_2::is_ignored,
- logistic_quant8_2::examples);
+ logistic_quant8_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/lsh_projection.mod.py.cpp b/nn/runtime/test/generated/tests/lsh_projection.mod.py.cpp
index 779f149..5165367 100644
--- a/nn/runtime/test/generated/tests/lsh_projection.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/lsh_projection.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, lsh_projection) {
execute(lsh_projection::CreateModel,
lsh_projection::is_ignored,
- lsh_projection::examples);
+ lsh_projection::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/lsh_projection_2.mod.py.cpp b/nn/runtime/test/generated/tests/lsh_projection_2.mod.py.cpp
index 0d08f10..96ccfe3 100644
--- a/nn/runtime/test/generated/tests/lsh_projection_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/lsh_projection_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, lsh_projection_2) {
execute(lsh_projection_2::CreateModel,
lsh_projection_2::is_ignored,
- lsh_projection_2::examples);
+ lsh_projection_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/lsh_projection_2_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/lsh_projection_2_relaxed.mod.py.cpp
index 5c58b54..be27afd 100644
--- a/nn/runtime/test/generated/tests/lsh_projection_2_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/lsh_projection_2_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, lsh_projection_2_relaxed) {
execute(lsh_projection_2_relaxed::CreateModel,
lsh_projection_2_relaxed::is_ignored,
- lsh_projection_2_relaxed::examples);
+ lsh_projection_2_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/lsh_projection_3_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/lsh_projection_3_relaxed.mod.py.cpp
index f2edc46..d7ec09a 100644
--- a/nn/runtime/test/generated/tests/lsh_projection_3_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/lsh_projection_3_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, lsh_projection_3_relaxed) {
execute(lsh_projection_3_relaxed::CreateModel,
lsh_projection_3_relaxed::is_ignored,
- lsh_projection_3_relaxed::examples);
+ lsh_projection_3_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/lsh_projection_4_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/lsh_projection_4_relaxed.mod.py.cpp
index b394778..9adcb93 100644
--- a/nn/runtime/test/generated/tests/lsh_projection_4_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/lsh_projection_4_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, lsh_projection_4_relaxed) {
execute(lsh_projection_4_relaxed::CreateModel,
lsh_projection_4_relaxed::is_ignored,
- lsh_projection_4_relaxed::examples);
+ lsh_projection_4_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/lsh_projection_deprecated.mod.py.cpp b/nn/runtime/test/generated/tests/lsh_projection_deprecated.mod.py.cpp
index ee67ec8..0bef1c0 100644
--- a/nn/runtime/test/generated/tests/lsh_projection_deprecated.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/lsh_projection_deprecated.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, lsh_projection_deprecated) {
execute(lsh_projection_deprecated::CreateModel,
lsh_projection_deprecated::is_ignored,
- lsh_projection_deprecated::examples);
+ lsh_projection_deprecated::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/lsh_projection_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/lsh_projection_relaxed.mod.py.cpp
index 27d6498..e9fc9d7 100644
--- a/nn/runtime/test/generated/tests/lsh_projection_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/lsh_projection_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, lsh_projection_relaxed) {
execute(lsh_projection_relaxed::CreateModel,
lsh_projection_relaxed::is_ignored,
- lsh_projection_relaxed::examples);
+ lsh_projection_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/lsh_projection_weights_as_inputs.mod.py.cpp b/nn/runtime/test/generated/tests/lsh_projection_weights_as_inputs.mod.py.cpp
index c3c0131..bf60df2 100644
--- a/nn/runtime/test/generated/tests/lsh_projection_weights_as_inputs.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/lsh_projection_weights_as_inputs.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, lsh_projection_weights_as_inputs) {
execute(lsh_projection_weights_as_inputs::CreateModel,
lsh_projection_weights_as_inputs::is_ignored,
- lsh_projection_weights_as_inputs::examples);
+ lsh_projection_weights_as_inputs::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/lsh_projection_weights_as_inputs_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/lsh_projection_weights_as_inputs_relaxed.mod.py.cpp
index 2db59a9..06b36fb 100644
--- a/nn/runtime/test/generated/tests/lsh_projection_weights_as_inputs_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/lsh_projection_weights_as_inputs_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, lsh_projection_weights_as_inputs_relaxed) {
execute(lsh_projection_weights_as_inputs_relaxed::CreateModel,
lsh_projection_weights_as_inputs_relaxed::is_ignored,
- lsh_projection_weights_as_inputs_relaxed::examples);
+ lsh_projection_weights_as_inputs_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/lstm.mod.py.cpp b/nn/runtime/test/generated/tests/lstm.mod.py.cpp
index 6c9d535..4c16551 100644
--- a/nn/runtime/test/generated/tests/lstm.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/lstm.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, lstm) {
execute(lstm::CreateModel,
lstm::is_ignored,
- lstm::examples);
+ lstm::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/lstm2.mod.py.cpp b/nn/runtime/test/generated/tests/lstm2.mod.py.cpp
index 3b68f68..f84afa5 100644
--- a/nn/runtime/test/generated/tests/lstm2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/lstm2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, lstm2) {
execute(lstm2::CreateModel,
lstm2::is_ignored,
- lstm2::examples);
+ lstm2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/lstm2_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/lstm2_relaxed.mod.py.cpp
index 224a8a7..9bd85a8 100644
--- a/nn/runtime/test/generated/tests/lstm2_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/lstm2_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, lstm2_relaxed) {
execute(lstm2_relaxed::CreateModel,
lstm2_relaxed::is_ignored,
- lstm2_relaxed::examples);
+ lstm2_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/lstm2_state.mod.py.cpp b/nn/runtime/test/generated/tests/lstm2_state.mod.py.cpp
index 6c56a95..36346d3 100644
--- a/nn/runtime/test/generated/tests/lstm2_state.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/lstm2_state.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, lstm2_state) {
execute(lstm2_state::CreateModel,
lstm2_state::is_ignored,
- lstm2_state::examples);
+ lstm2_state::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/lstm2_state2.mod.py.cpp b/nn/runtime/test/generated/tests/lstm2_state2.mod.py.cpp
index d532d80..6e8aced 100644
--- a/nn/runtime/test/generated/tests/lstm2_state2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/lstm2_state2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, lstm2_state2) {
execute(lstm2_state2::CreateModel,
lstm2_state2::is_ignored,
- lstm2_state2::examples);
+ lstm2_state2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/lstm2_state2_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/lstm2_state2_relaxed.mod.py.cpp
index cfa0b53..e2748e7 100644
--- a/nn/runtime/test/generated/tests/lstm2_state2_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/lstm2_state2_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, lstm2_state2_relaxed) {
execute(lstm2_state2_relaxed::CreateModel,
lstm2_state2_relaxed::is_ignored,
- lstm2_state2_relaxed::examples);
+ lstm2_state2_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/lstm2_state_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/lstm2_state_relaxed.mod.py.cpp
index ae4d8f6..8edcf7e 100644
--- a/nn/runtime/test/generated/tests/lstm2_state_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/lstm2_state_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, lstm2_state_relaxed) {
execute(lstm2_state_relaxed::CreateModel,
lstm2_state_relaxed::is_ignored,
- lstm2_state_relaxed::examples);
+ lstm2_state_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/lstm3.mod.py.cpp b/nn/runtime/test/generated/tests/lstm3.mod.py.cpp
index 69592e8..d4c3fec 100644
--- a/nn/runtime/test/generated/tests/lstm3.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/lstm3.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, lstm3) {
execute(lstm3::CreateModel,
lstm3::is_ignored,
- lstm3::examples);
+ lstm3::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/lstm3_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/lstm3_relaxed.mod.py.cpp
index 3f10a00..488330c 100644
--- a/nn/runtime/test/generated/tests/lstm3_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/lstm3_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, lstm3_relaxed) {
execute(lstm3_relaxed::CreateModel,
lstm3_relaxed::is_ignored,
- lstm3_relaxed::examples);
+ lstm3_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/lstm3_state.mod.py.cpp b/nn/runtime/test/generated/tests/lstm3_state.mod.py.cpp
index 0df8bb3..eb17fed 100644
--- a/nn/runtime/test/generated/tests/lstm3_state.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/lstm3_state.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, lstm3_state) {
execute(lstm3_state::CreateModel,
lstm3_state::is_ignored,
- lstm3_state::examples);
+ lstm3_state::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/lstm3_state2.mod.py.cpp b/nn/runtime/test/generated/tests/lstm3_state2.mod.py.cpp
index e35e2b1..bae8f56 100644
--- a/nn/runtime/test/generated/tests/lstm3_state2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/lstm3_state2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, lstm3_state2) {
execute(lstm3_state2::CreateModel,
lstm3_state2::is_ignored,
- lstm3_state2::examples);
+ lstm3_state2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/lstm3_state2_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/lstm3_state2_relaxed.mod.py.cpp
index d48b4a2..9470642 100644
--- a/nn/runtime/test/generated/tests/lstm3_state2_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/lstm3_state2_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, lstm3_state2_relaxed) {
execute(lstm3_state2_relaxed::CreateModel,
lstm3_state2_relaxed::is_ignored,
- lstm3_state2_relaxed::examples);
+ lstm3_state2_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/lstm3_state3.mod.py.cpp b/nn/runtime/test/generated/tests/lstm3_state3.mod.py.cpp
index 234d390..3a0ec79 100644
--- a/nn/runtime/test/generated/tests/lstm3_state3.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/lstm3_state3.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, lstm3_state3) {
execute(lstm3_state3::CreateModel,
lstm3_state3::is_ignored,
- lstm3_state3::examples);
+ lstm3_state3::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/lstm3_state3_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/lstm3_state3_relaxed.mod.py.cpp
index c19d0a8..dcfddb8 100644
--- a/nn/runtime/test/generated/tests/lstm3_state3_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/lstm3_state3_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, lstm3_state3_relaxed) {
execute(lstm3_state3_relaxed::CreateModel,
lstm3_state3_relaxed::is_ignored,
- lstm3_state3_relaxed::examples);
+ lstm3_state3_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/lstm3_state_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/lstm3_state_relaxed.mod.py.cpp
index d9792e2..7a86637 100644
--- a/nn/runtime/test/generated/tests/lstm3_state_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/lstm3_state_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, lstm3_state_relaxed) {
execute(lstm3_state_relaxed::CreateModel,
lstm3_state_relaxed::is_ignored,
- lstm3_state_relaxed::examples);
+ lstm3_state_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/lstm_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/lstm_relaxed.mod.py.cpp
index 02655dc..abcfd1e 100644
--- a/nn/runtime/test/generated/tests/lstm_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/lstm_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, lstm_relaxed) {
execute(lstm_relaxed::CreateModel,
lstm_relaxed::is_ignored,
- lstm_relaxed::examples);
+ lstm_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/lstm_state.mod.py.cpp b/nn/runtime/test/generated/tests/lstm_state.mod.py.cpp
index 5ec7ce7..a694c4e 100644
--- a/nn/runtime/test/generated/tests/lstm_state.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/lstm_state.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, lstm_state) {
execute(lstm_state::CreateModel,
lstm_state::is_ignored,
- lstm_state::examples);
+ lstm_state::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/lstm_state2.mod.py.cpp b/nn/runtime/test/generated/tests/lstm_state2.mod.py.cpp
index 6b1f946..09c0473 100644
--- a/nn/runtime/test/generated/tests/lstm_state2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/lstm_state2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, lstm_state2) {
execute(lstm_state2::CreateModel,
lstm_state2::is_ignored,
- lstm_state2::examples);
+ lstm_state2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/lstm_state2_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/lstm_state2_relaxed.mod.py.cpp
index c92ae86..1654449 100644
--- a/nn/runtime/test/generated/tests/lstm_state2_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/lstm_state2_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, lstm_state2_relaxed) {
execute(lstm_state2_relaxed::CreateModel,
lstm_state2_relaxed::is_ignored,
- lstm_state2_relaxed::examples);
+ lstm_state2_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/lstm_state_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/lstm_state_relaxed.mod.py.cpp
index ab325d4..51332e3 100644
--- a/nn/runtime/test/generated/tests/lstm_state_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/lstm_state_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, lstm_state_relaxed) {
execute(lstm_state_relaxed::CreateModel,
lstm_state_relaxed::is_ignored,
- lstm_state_relaxed::examples);
+ lstm_state_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/max_pool_float_1.mod.py.cpp b/nn/runtime/test/generated/tests/max_pool_float_1.mod.py.cpp
index b3fc305..64e20ef 100644
--- a/nn/runtime/test/generated/tests/max_pool_float_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/max_pool_float_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, max_pool_float_1) {
execute(max_pool_float_1::CreateModel,
max_pool_float_1::is_ignored,
- max_pool_float_1::examples);
+ max_pool_float_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/max_pool_float_1_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/max_pool_float_1_relaxed.mod.py.cpp
index f7f7ef5..4aebcbe 100644
--- a/nn/runtime/test/generated/tests/max_pool_float_1_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/max_pool_float_1_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, max_pool_float_1_relaxed) {
execute(max_pool_float_1_relaxed::CreateModel,
max_pool_float_1_relaxed::is_ignored,
- max_pool_float_1_relaxed::examples);
+ max_pool_float_1_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/max_pool_float_2.mod.py.cpp b/nn/runtime/test/generated/tests/max_pool_float_2.mod.py.cpp
index 4eb8c32..cf2ac40 100644
--- a/nn/runtime/test/generated/tests/max_pool_float_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/max_pool_float_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, max_pool_float_2) {
execute(max_pool_float_2::CreateModel,
max_pool_float_2::is_ignored,
- max_pool_float_2::examples);
+ max_pool_float_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/max_pool_float_2_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/max_pool_float_2_relaxed.mod.py.cpp
index 3391eab..c519dea 100644
--- a/nn/runtime/test/generated/tests/max_pool_float_2_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/max_pool_float_2_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, max_pool_float_2_relaxed) {
execute(max_pool_float_2_relaxed::CreateModel,
max_pool_float_2_relaxed::is_ignored,
- max_pool_float_2_relaxed::examples);
+ max_pool_float_2_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/max_pool_float_3.mod.py.cpp b/nn/runtime/test/generated/tests/max_pool_float_3.mod.py.cpp
index 27f75b3..34edfd1 100644
--- a/nn/runtime/test/generated/tests/max_pool_float_3.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/max_pool_float_3.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, max_pool_float_3) {
execute(max_pool_float_3::CreateModel,
max_pool_float_3::is_ignored,
- max_pool_float_3::examples);
+ max_pool_float_3::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/max_pool_float_3_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/max_pool_float_3_relaxed.mod.py.cpp
index 9209c1e..1fe59cb 100644
--- a/nn/runtime/test/generated/tests/max_pool_float_3_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/max_pool_float_3_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, max_pool_float_3_relaxed) {
execute(max_pool_float_3_relaxed::CreateModel,
max_pool_float_3_relaxed::is_ignored,
- max_pool_float_3_relaxed::examples);
+ max_pool_float_3_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/max_pool_float_4.mod.py.cpp b/nn/runtime/test/generated/tests/max_pool_float_4.mod.py.cpp
index 59d6ba9..a289c36 100644
--- a/nn/runtime/test/generated/tests/max_pool_float_4.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/max_pool_float_4.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, max_pool_float_4) {
execute(max_pool_float_4::CreateModel,
max_pool_float_4::is_ignored,
- max_pool_float_4::examples);
+ max_pool_float_4::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/max_pool_float_4_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/max_pool_float_4_relaxed.mod.py.cpp
index c23fe38..1bb8a88 100644
--- a/nn/runtime/test/generated/tests/max_pool_float_4_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/max_pool_float_4_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, max_pool_float_4_relaxed) {
execute(max_pool_float_4_relaxed::CreateModel,
max_pool_float_4_relaxed::is_ignored,
- max_pool_float_4_relaxed::examples);
+ max_pool_float_4_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/max_pool_quant8_1.mod.py.cpp b/nn/runtime/test/generated/tests/max_pool_quant8_1.mod.py.cpp
index a9ddc24..c19781a 100644
--- a/nn/runtime/test/generated/tests/max_pool_quant8_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/max_pool_quant8_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, max_pool_quant8_1) {
execute(max_pool_quant8_1::CreateModel,
max_pool_quant8_1::is_ignored,
- max_pool_quant8_1::examples);
+ max_pool_quant8_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/max_pool_quant8_2.mod.py.cpp b/nn/runtime/test/generated/tests/max_pool_quant8_2.mod.py.cpp
index d1f68d1..764308e 100644
--- a/nn/runtime/test/generated/tests/max_pool_quant8_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/max_pool_quant8_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, max_pool_quant8_2) {
execute(max_pool_quant8_2::CreateModel,
max_pool_quant8_2::is_ignored,
- max_pool_quant8_2::examples);
+ max_pool_quant8_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/max_pool_quant8_3.mod.py.cpp b/nn/runtime/test/generated/tests/max_pool_quant8_3.mod.py.cpp
index b4ffe02..541bf3c 100644
--- a/nn/runtime/test/generated/tests/max_pool_quant8_3.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/max_pool_quant8_3.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, max_pool_quant8_3) {
execute(max_pool_quant8_3::CreateModel,
max_pool_quant8_3::is_ignored,
- max_pool_quant8_3::examples);
+ max_pool_quant8_3::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/max_pool_quant8_4.mod.py.cpp b/nn/runtime/test/generated/tests/max_pool_quant8_4.mod.py.cpp
index b9b0e80..5e03cfc 100644
--- a/nn/runtime/test/generated/tests/max_pool_quant8_4.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/max_pool_quant8_4.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, max_pool_quant8_4) {
execute(max_pool_quant8_4::CreateModel,
max_pool_quant8_4::is_ignored,
- max_pool_quant8_4::examples);
+ max_pool_quant8_4::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/max_pool_v1_2.mod.py.cpp b/nn/runtime/test/generated/tests/max_pool_v1_2.mod.py.cpp
index ccf0e2b..e9ec73f 100644
--- a/nn/runtime/test/generated/tests/max_pool_v1_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/max_pool_v1_2.mod.py.cpp
@@ -12,144 +12,144 @@
TEST_F(GeneratedTests, max_pool_v1_2_nhwc) {
execute(max_pool_v1_2::CreateModel_nhwc,
max_pool_v1_2::is_ignored_nhwc,
- max_pool_v1_2::examples_nhwc);
+ max_pool_v1_2::get_examples_nhwc());
}
TEST_F(GeneratedTests, max_pool_v1_2_nhwc_relaxed) {
execute(max_pool_v1_2::CreateModel_nhwc_relaxed,
max_pool_v1_2::is_ignored_nhwc_relaxed,
- max_pool_v1_2::examples_nhwc_relaxed);
+ max_pool_v1_2::get_examples_nhwc_relaxed());
}
TEST_F(GeneratedTests, max_pool_v1_2_nhwc_quant8) {
execute(max_pool_v1_2::CreateModel_nhwc_quant8,
max_pool_v1_2::is_ignored_nhwc_quant8,
- max_pool_v1_2::examples_nhwc_quant8);
+ max_pool_v1_2::get_examples_nhwc_quant8());
}
TEST_F(GeneratedTests, max_pool_v1_2_nchw) {
execute(max_pool_v1_2::CreateModel_nchw,
max_pool_v1_2::is_ignored_nchw,
- max_pool_v1_2::examples_nchw);
+ max_pool_v1_2::get_examples_nchw());
}
TEST_F(GeneratedTests, max_pool_v1_2_nchw_relaxed) {
execute(max_pool_v1_2::CreateModel_nchw_relaxed,
max_pool_v1_2::is_ignored_nchw_relaxed,
- max_pool_v1_2::examples_nchw_relaxed);
+ max_pool_v1_2::get_examples_nchw_relaxed());
}
TEST_F(GeneratedTests, max_pool_v1_2_nchw_quant8) {
execute(max_pool_v1_2::CreateModel_nchw_quant8,
max_pool_v1_2::is_ignored_nchw_quant8,
- max_pool_v1_2::examples_nchw_quant8);
+ max_pool_v1_2::get_examples_nchw_quant8());
}
TEST_F(GeneratedTests, max_pool_v1_2_nhwc_2) {
execute(max_pool_v1_2::CreateModel_nhwc_2,
max_pool_v1_2::is_ignored_nhwc_2,
- max_pool_v1_2::examples_nhwc_2);
+ max_pool_v1_2::get_examples_nhwc_2());
}
TEST_F(GeneratedTests, max_pool_v1_2_nhwc_relaxed_2) {
execute(max_pool_v1_2::CreateModel_nhwc_relaxed_2,
max_pool_v1_2::is_ignored_nhwc_relaxed_2,
- max_pool_v1_2::examples_nhwc_relaxed_2);
+ max_pool_v1_2::get_examples_nhwc_relaxed_2());
}
TEST_F(GeneratedTests, max_pool_v1_2_nhwc_quant8_2) {
execute(max_pool_v1_2::CreateModel_nhwc_quant8_2,
max_pool_v1_2::is_ignored_nhwc_quant8_2,
- max_pool_v1_2::examples_nhwc_quant8_2);
+ max_pool_v1_2::get_examples_nhwc_quant8_2());
}
TEST_F(GeneratedTests, max_pool_v1_2_nchw_2) {
execute(max_pool_v1_2::CreateModel_nchw_2,
max_pool_v1_2::is_ignored_nchw_2,
- max_pool_v1_2::examples_nchw_2);
+ max_pool_v1_2::get_examples_nchw_2());
}
TEST_F(GeneratedTests, max_pool_v1_2_nchw_relaxed_2) {
execute(max_pool_v1_2::CreateModel_nchw_relaxed_2,
max_pool_v1_2::is_ignored_nchw_relaxed_2,
- max_pool_v1_2::examples_nchw_relaxed_2);
+ max_pool_v1_2::get_examples_nchw_relaxed_2());
}
TEST_F(GeneratedTests, max_pool_v1_2_nchw_quant8_2) {
execute(max_pool_v1_2::CreateModel_nchw_quant8_2,
max_pool_v1_2::is_ignored_nchw_quant8_2,
- max_pool_v1_2::examples_nchw_quant8_2);
+ max_pool_v1_2::get_examples_nchw_quant8_2());
}
TEST_F(GeneratedTests, max_pool_v1_2_nhwc_3) {
execute(max_pool_v1_2::CreateModel_nhwc_3,
max_pool_v1_2::is_ignored_nhwc_3,
- max_pool_v1_2::examples_nhwc_3);
+ max_pool_v1_2::get_examples_nhwc_3());
}
TEST_F(GeneratedTests, max_pool_v1_2_nhwc_relaxed_3) {
execute(max_pool_v1_2::CreateModel_nhwc_relaxed_3,
max_pool_v1_2::is_ignored_nhwc_relaxed_3,
- max_pool_v1_2::examples_nhwc_relaxed_3);
+ max_pool_v1_2::get_examples_nhwc_relaxed_3());
}
TEST_F(GeneratedTests, max_pool_v1_2_nhwc_quant8_3) {
execute(max_pool_v1_2::CreateModel_nhwc_quant8_3,
max_pool_v1_2::is_ignored_nhwc_quant8_3,
- max_pool_v1_2::examples_nhwc_quant8_3);
+ max_pool_v1_2::get_examples_nhwc_quant8_3());
}
TEST_F(GeneratedTests, max_pool_v1_2_nchw_3) {
execute(max_pool_v1_2::CreateModel_nchw_3,
max_pool_v1_2::is_ignored_nchw_3,
- max_pool_v1_2::examples_nchw_3);
+ max_pool_v1_2::get_examples_nchw_3());
}
TEST_F(GeneratedTests, max_pool_v1_2_nchw_relaxed_3) {
execute(max_pool_v1_2::CreateModel_nchw_relaxed_3,
max_pool_v1_2::is_ignored_nchw_relaxed_3,
- max_pool_v1_2::examples_nchw_relaxed_3);
+ max_pool_v1_2::get_examples_nchw_relaxed_3());
}
TEST_F(GeneratedTests, max_pool_v1_2_nchw_quant8_3) {
execute(max_pool_v1_2::CreateModel_nchw_quant8_3,
max_pool_v1_2::is_ignored_nchw_quant8_3,
- max_pool_v1_2::examples_nchw_quant8_3);
+ max_pool_v1_2::get_examples_nchw_quant8_3());
}
TEST_F(GeneratedTests, max_pool_v1_2_nhwc_4) {
execute(max_pool_v1_2::CreateModel_nhwc_4,
max_pool_v1_2::is_ignored_nhwc_4,
- max_pool_v1_2::examples_nhwc_4);
+ max_pool_v1_2::get_examples_nhwc_4());
}
TEST_F(GeneratedTests, max_pool_v1_2_nhwc_relaxed_4) {
execute(max_pool_v1_2::CreateModel_nhwc_relaxed_4,
max_pool_v1_2::is_ignored_nhwc_relaxed_4,
- max_pool_v1_2::examples_nhwc_relaxed_4);
+ max_pool_v1_2::get_examples_nhwc_relaxed_4());
}
TEST_F(GeneratedTests, max_pool_v1_2_nhwc_quant8_4) {
execute(max_pool_v1_2::CreateModel_nhwc_quant8_4,
max_pool_v1_2::is_ignored_nhwc_quant8_4,
- max_pool_v1_2::examples_nhwc_quant8_4);
+ max_pool_v1_2::get_examples_nhwc_quant8_4());
}
TEST_F(GeneratedTests, max_pool_v1_2_nchw_4) {
execute(max_pool_v1_2::CreateModel_nchw_4,
max_pool_v1_2::is_ignored_nchw_4,
- max_pool_v1_2::examples_nchw_4);
+ max_pool_v1_2::get_examples_nchw_4());
}
TEST_F(GeneratedTests, max_pool_v1_2_nchw_relaxed_4) {
execute(max_pool_v1_2::CreateModel_nchw_relaxed_4,
max_pool_v1_2::is_ignored_nchw_relaxed_4,
- max_pool_v1_2::examples_nchw_relaxed_4);
+ max_pool_v1_2::get_examples_nchw_relaxed_4());
}
TEST_F(GeneratedTests, max_pool_v1_2_nchw_quant8_4) {
execute(max_pool_v1_2::CreateModel_nchw_quant8_4,
max_pool_v1_2::is_ignored_nchw_quant8_4,
- max_pool_v1_2::examples_nchw_quant8_4);
+ max_pool_v1_2::get_examples_nchw_quant8_4());
}
diff --git a/nn/runtime/test/generated/tests/maximum.mod.py.cpp b/nn/runtime/test/generated/tests/maximum.mod.py.cpp
index ccdb17d..9a57a3f 100644
--- a/nn/runtime/test/generated/tests/maximum.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/maximum.mod.py.cpp
@@ -12,60 +12,60 @@
TEST_F(GeneratedTests, maximum_simple) {
execute(maximum::CreateModel,
maximum::is_ignored,
- maximum::examples_simple);
+ maximum::get_examples_simple());
}
TEST_F(GeneratedTests, maximum_simple_relaxed) {
execute(maximum::CreateModel_relaxed,
maximum::is_ignored_relaxed,
- maximum::examples_simple_relaxed);
+ maximum::get_examples_simple_relaxed());
}
TEST_F(GeneratedTests, maximum_simple_quant8) {
execute(maximum::CreateModel_quant8,
maximum::is_ignored_quant8,
- maximum::examples_simple_quant8);
+ maximum::get_examples_simple_quant8());
}
TEST_F(GeneratedTests, maximum_simple_int32) {
execute(maximum::CreateModel_int32,
maximum::is_ignored_int32,
- maximum::examples_simple_int32);
+ maximum::get_examples_simple_int32());
}
TEST_F(GeneratedTests, maximum_simple_float16) {
execute(maximum::CreateModel_float16,
maximum::is_ignored_float16,
- maximum::examples_simple_float16);
+ maximum::get_examples_simple_float16());
}
TEST_F(GeneratedTests, maximum_broadcast) {
execute(maximum::CreateModel_2,
maximum::is_ignored_2,
- maximum::examples_broadcast);
+ maximum::get_examples_broadcast());
}
TEST_F(GeneratedTests, maximum_broadcast_relaxed) {
execute(maximum::CreateModel_relaxed_2,
maximum::is_ignored_relaxed_2,
- maximum::examples_broadcast_relaxed);
+ maximum::get_examples_broadcast_relaxed());
}
TEST_F(GeneratedTests, maximum_broadcast_quant8) {
execute(maximum::CreateModel_quant8_2,
maximum::is_ignored_quant8_2,
- maximum::examples_broadcast_quant8);
+ maximum::get_examples_broadcast_quant8());
}
TEST_F(GeneratedTests, maximum_broadcast_int32) {
execute(maximum::CreateModel_int32_2,
maximum::is_ignored_int32_2,
- maximum::examples_broadcast_int32);
+ maximum::get_examples_broadcast_int32());
}
TEST_F(GeneratedTests, maximum_broadcast_float16) {
execute(maximum::CreateModel_float16_2,
maximum::is_ignored_float16_2,
- maximum::examples_broadcast_float16);
+ maximum::get_examples_broadcast_float16());
}
diff --git a/nn/runtime/test/generated/tests/mean.mod.py.cpp b/nn/runtime/test/generated/tests/mean.mod.py.cpp
index 5508977..1ad58db 100644
--- a/nn/runtime/test/generated/tests/mean.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/mean.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, mean) {
execute(mean::CreateModel,
mean::is_ignored,
- mean::examples);
+ mean::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/mean_float_1.mod.py.cpp b/nn/runtime/test/generated/tests/mean_float_1.mod.py.cpp
index 15458e1..b34eec6 100644
--- a/nn/runtime/test/generated/tests/mean_float_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/mean_float_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, mean_float_1) {
execute(mean_float_1::CreateModel,
mean_float_1::is_ignored,
- mean_float_1::examples);
+ mean_float_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/mean_float_1_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/mean_float_1_relaxed.mod.py.cpp
index 5b3f87d..dbc3db8 100644
--- a/nn/runtime/test/generated/tests/mean_float_1_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/mean_float_1_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, mean_float_1_relaxed) {
execute(mean_float_1_relaxed::CreateModel,
mean_float_1_relaxed::is_ignored,
- mean_float_1_relaxed::examples);
+ mean_float_1_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/mean_float_2.mod.py.cpp b/nn/runtime/test/generated/tests/mean_float_2.mod.py.cpp
index 5bb294f..43af7aa 100644
--- a/nn/runtime/test/generated/tests/mean_float_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/mean_float_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, mean_float_2) {
execute(mean_float_2::CreateModel,
mean_float_2::is_ignored,
- mean_float_2::examples);
+ mean_float_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/mean_float_2_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/mean_float_2_relaxed.mod.py.cpp
index 6d9936b..f0eece1 100644
--- a/nn/runtime/test/generated/tests/mean_float_2_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/mean_float_2_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, mean_float_2_relaxed) {
execute(mean_float_2_relaxed::CreateModel,
mean_float_2_relaxed::is_ignored,
- mean_float_2_relaxed::examples);
+ mean_float_2_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/mean_quant8_1.mod.py.cpp b/nn/runtime/test/generated/tests/mean_quant8_1.mod.py.cpp
index daab8fb..f1d4328 100644
--- a/nn/runtime/test/generated/tests/mean_quant8_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/mean_quant8_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, mean_quant8_1) {
execute(mean_quant8_1::CreateModel,
mean_quant8_1::is_ignored,
- mean_quant8_1::examples);
+ mean_quant8_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/mean_quant8_2.mod.py.cpp b/nn/runtime/test/generated/tests/mean_quant8_2.mod.py.cpp
index ebe8473..77046ad 100644
--- a/nn/runtime/test/generated/tests/mean_quant8_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/mean_quant8_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, mean_quant8_2) {
execute(mean_quant8_2::CreateModel,
mean_quant8_2::is_ignored,
- mean_quant8_2::examples);
+ mean_quant8_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/mean_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/mean_relaxed.mod.py.cpp
index 7ed8a13..74271d3 100644
--- a/nn/runtime/test/generated/tests/mean_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/mean_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, mean_relaxed) {
execute(mean_relaxed::CreateModel,
mean_relaxed::is_ignored,
- mean_relaxed::examples);
+ mean_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/minimum.mod.py.cpp b/nn/runtime/test/generated/tests/minimum.mod.py.cpp
index 96d7250..65a430e 100644
--- a/nn/runtime/test/generated/tests/minimum.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/minimum.mod.py.cpp
@@ -12,60 +12,60 @@
TEST_F(GeneratedTests, minimum_simple) {
execute(minimum::CreateModel,
minimum::is_ignored,
- minimum::examples_simple);
+ minimum::get_examples_simple());
}
TEST_F(GeneratedTests, minimum_simple_relaxed) {
execute(minimum::CreateModel_relaxed,
minimum::is_ignored_relaxed,
- minimum::examples_simple_relaxed);
+ minimum::get_examples_simple_relaxed());
}
TEST_F(GeneratedTests, minimum_simple_quant8) {
execute(minimum::CreateModel_quant8,
minimum::is_ignored_quant8,
- minimum::examples_simple_quant8);
+ minimum::get_examples_simple_quant8());
}
TEST_F(GeneratedTests, minimum_simple_int32) {
execute(minimum::CreateModel_int32,
minimum::is_ignored_int32,
- minimum::examples_simple_int32);
+ minimum::get_examples_simple_int32());
}
TEST_F(GeneratedTests, minimum_simple_float16) {
execute(minimum::CreateModel_float16,
minimum::is_ignored_float16,
- minimum::examples_simple_float16);
+ minimum::get_examples_simple_float16());
}
TEST_F(GeneratedTests, minimum_broadcast) {
execute(minimum::CreateModel_2,
minimum::is_ignored_2,
- minimum::examples_broadcast);
+ minimum::get_examples_broadcast());
}
TEST_F(GeneratedTests, minimum_broadcast_relaxed) {
execute(minimum::CreateModel_relaxed_2,
minimum::is_ignored_relaxed_2,
- minimum::examples_broadcast_relaxed);
+ minimum::get_examples_broadcast_relaxed());
}
TEST_F(GeneratedTests, minimum_broadcast_quant8) {
execute(minimum::CreateModel_quant8_2,
minimum::is_ignored_quant8_2,
- minimum::examples_broadcast_quant8);
+ minimum::get_examples_broadcast_quant8());
}
TEST_F(GeneratedTests, minimum_broadcast_int32) {
execute(minimum::CreateModel_int32_2,
minimum::is_ignored_int32_2,
- minimum::examples_broadcast_int32);
+ minimum::get_examples_broadcast_int32());
}
TEST_F(GeneratedTests, minimum_broadcast_float16) {
execute(minimum::CreateModel_float16_2,
minimum::is_ignored_float16_2,
- minimum::examples_broadcast_float16);
+ minimum::get_examples_broadcast_float16());
}
diff --git a/nn/runtime/test/generated/tests/mobilenet_224_gender_basic_fixed.mod.py.cpp b/nn/runtime/test/generated/tests/mobilenet_224_gender_basic_fixed.mod.py.cpp
index 7e7ad12..72d383f 100644
--- a/nn/runtime/test/generated/tests/mobilenet_224_gender_basic_fixed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/mobilenet_224_gender_basic_fixed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, mobilenet_224_gender_basic_fixed) {
execute(mobilenet_224_gender_basic_fixed::CreateModel,
mobilenet_224_gender_basic_fixed::is_ignored,
- mobilenet_224_gender_basic_fixed::examples);
+ mobilenet_224_gender_basic_fixed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/mobilenet_224_gender_basic_fixed_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/mobilenet_224_gender_basic_fixed_relaxed.mod.py.cpp
index 7db14a7..45bfdc0 100644
--- a/nn/runtime/test/generated/tests/mobilenet_224_gender_basic_fixed_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/mobilenet_224_gender_basic_fixed_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, mobilenet_224_gender_basic_fixed_relaxed) {
execute(mobilenet_224_gender_basic_fixed_relaxed::CreateModel,
mobilenet_224_gender_basic_fixed_relaxed::is_ignored,
- mobilenet_224_gender_basic_fixed_relaxed::examples);
+ mobilenet_224_gender_basic_fixed_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/mobilenet_quantized.mod.py.cpp b/nn/runtime/test/generated/tests/mobilenet_quantized.mod.py.cpp
index 31a7b4a..d8e1630 100644
--- a/nn/runtime/test/generated/tests/mobilenet_quantized.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/mobilenet_quantized.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, mobilenet_quantized) {
execute(mobilenet_quantized::CreateModel,
mobilenet_quantized::is_ignored,
- mobilenet_quantized::examples);
+ mobilenet_quantized::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/mul.mod.py.cpp b/nn/runtime/test/generated/tests/mul.mod.py.cpp
index 3deccc6..45a4437 100644
--- a/nn/runtime/test/generated/tests/mul.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/mul.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, mul) {
execute(mul::CreateModel,
mul::is_ignored,
- mul::examples);
+ mul::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/mul_broadcast_float16.mod.py.cpp b/nn/runtime/test/generated/tests/mul_broadcast_float16.mod.py.cpp
index 7d0db16..ee99e39 100644
--- a/nn/runtime/test/generated/tests/mul_broadcast_float16.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/mul_broadcast_float16.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, mul_broadcast_float16) {
execute(mul_broadcast_float16::CreateModel,
mul_broadcast_float16::is_ignored,
- mul_broadcast_float16::examples);
+ mul_broadcast_float16::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/mul_broadcast_quant8.mod.py.cpp b/nn/runtime/test/generated/tests/mul_broadcast_quant8.mod.py.cpp
index 630b900..2a81255 100644
--- a/nn/runtime/test/generated/tests/mul_broadcast_quant8.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/mul_broadcast_quant8.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, mul_broadcast_quant8) {
execute(mul_broadcast_quant8::CreateModel,
mul_broadcast_quant8::is_ignored,
- mul_broadcast_quant8::examples);
+ mul_broadcast_quant8::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/mul_float16.mod.py.cpp b/nn/runtime/test/generated/tests/mul_float16.mod.py.cpp
index c320847..d534d21 100644
--- a/nn/runtime/test/generated/tests/mul_float16.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/mul_float16.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, mul_float16) {
execute(mul_float16::CreateModel,
mul_float16::is_ignored,
- mul_float16::examples);
+ mul_float16::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/mul_quant8.mod.py.cpp b/nn/runtime/test/generated/tests/mul_quant8.mod.py.cpp
index 4691456..afa0e12 100644
--- a/nn/runtime/test/generated/tests/mul_quant8.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/mul_quant8.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, mul_quant8) {
execute(mul_quant8::CreateModel,
mul_quant8::is_ignored,
- mul_quant8::examples);
+ mul_quant8::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/mul_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/mul_relaxed.mod.py.cpp
index fd2bbd3..9cee39c 100644
--- a/nn/runtime/test/generated/tests/mul_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/mul_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, mul_relaxed) {
execute(mul_relaxed::CreateModel,
mul_relaxed::is_ignored,
- mul_relaxed::examples);
+ mul_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/mul_relu.mod.py.cpp b/nn/runtime/test/generated/tests/mul_relu.mod.py.cpp
index 27128fe..d9fff87 100644
--- a/nn/runtime/test/generated/tests/mul_relu.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/mul_relu.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, mul_relu) {
execute(mul_relu::CreateModel,
mul_relu::is_ignored,
- mul_relu::examples);
+ mul_relu::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/mul_relu_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/mul_relu_relaxed.mod.py.cpp
index 0adc1d0..a66121e 100644
--- a/nn/runtime/test/generated/tests/mul_relu_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/mul_relu_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, mul_relu_relaxed) {
execute(mul_relu_relaxed::CreateModel,
mul_relu_relaxed::is_ignored,
- mul_relu_relaxed::examples);
+ mul_relu_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/pad.mod.py.cpp b/nn/runtime/test/generated/tests/pad.mod.py.cpp
index 9834819..a65e078 100644
--- a/nn/runtime/test/generated/tests/pad.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/pad.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, pad) {
execute(pad::CreateModel,
pad::is_ignored,
- pad::examples);
+ pad::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/pad_float16.mod.py.cpp b/nn/runtime/test/generated/tests/pad_float16.mod.py.cpp
new file mode 100644
index 0000000..29c3fef
--- /dev/null
+++ b/nn/runtime/test/generated/tests/pad_float16.mod.py.cpp
@@ -0,0 +1,17 @@
+// clang-format off
+// Generated file (from: pad_float16.mod.py). Do not edit
+#include "../../TestGenerated.h"
+
+namespace pad_float16 {
+// Generated pad_float16 test
+#include "generated/examples/pad_float16.example.cpp"
+// Generated model constructor
+#include "generated/models/pad_float16.model.cpp"
+} // namespace pad_float16
+
+TEST_F(GeneratedTests, pad_float16) {
+ execute(pad_float16::CreateModel,
+ pad_float16::is_ignored,
+ pad_float16::get_examples());
+}
+
diff --git a/nn/runtime/test/generated/tests/pad_float_1.mod.py.cpp b/nn/runtime/test/generated/tests/pad_float_1.mod.py.cpp
index e951174..90c2deb 100644
--- a/nn/runtime/test/generated/tests/pad_float_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/pad_float_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, pad_float_1) {
execute(pad_float_1::CreateModel,
pad_float_1::is_ignored,
- pad_float_1::examples);
+ pad_float_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/pad_float_1_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/pad_float_1_relaxed.mod.py.cpp
index 5a123f9..ead0623 100644
--- a/nn/runtime/test/generated/tests/pad_float_1_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/pad_float_1_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, pad_float_1_relaxed) {
execute(pad_float_1_relaxed::CreateModel,
pad_float_1_relaxed::is_ignored,
- pad_float_1_relaxed::examples);
+ pad_float_1_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/pad_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/pad_relaxed.mod.py.cpp
index 9964120..63f0d6f 100644
--- a/nn/runtime/test/generated/tests/pad_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/pad_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, pad_relaxed) {
execute(pad_relaxed::CreateModel,
pad_relaxed::is_ignored,
- pad_relaxed::examples);
+ pad_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/pad_v2_1_float.mod.py.cpp b/nn/runtime/test/generated/tests/pad_v2_1_float.mod.py.cpp
index af92582..91530be 100644
--- a/nn/runtime/test/generated/tests/pad_v2_1_float.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/pad_v2_1_float.mod.py.cpp
@@ -12,6 +12,12 @@
TEST_F(GeneratedTests, pad_v2_1_float) {
execute(pad_v2_1_float::CreateModel,
pad_v2_1_float::is_ignored,
- pad_v2_1_float::examples);
+ pad_v2_1_float::get_examples());
+}
+
+TEST_F(GeneratedTests, pad_v2_1_float_float16) {
+ execute(pad_v2_1_float::CreateModel_float16,
+ pad_v2_1_float::is_ignored_float16,
+ pad_v2_1_float::get_examples_float16());
}
diff --git a/nn/runtime/test/generated/tests/pad_v2_1_float_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/pad_v2_1_float_relaxed.mod.py.cpp
index 8e7fcd8..9917f15 100644
--- a/nn/runtime/test/generated/tests/pad_v2_1_float_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/pad_v2_1_float_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, pad_v2_1_float_relaxed) {
execute(pad_v2_1_float_relaxed::CreateModel,
pad_v2_1_float_relaxed::is_ignored,
- pad_v2_1_float_relaxed::examples);
+ pad_v2_1_float_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/pad_v2_1_quant8.mod.py.cpp b/nn/runtime/test/generated/tests/pad_v2_1_quant8.mod.py.cpp
index 0ee65d5..db9346f 100644
--- a/nn/runtime/test/generated/tests/pad_v2_1_quant8.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/pad_v2_1_quant8.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, pad_v2_1_quant8) {
execute(pad_v2_1_quant8::CreateModel,
pad_v2_1_quant8::is_ignored,
- pad_v2_1_quant8::examples);
+ pad_v2_1_quant8::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/pow.mod.py.cpp b/nn/runtime/test/generated/tests/pow.mod.py.cpp
index 19bbfa6..2ebb77b 100644
--- a/nn/runtime/test/generated/tests/pow.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/pow.mod.py.cpp
@@ -12,36 +12,36 @@
TEST_F(GeneratedTests, pow) {
execute(pow::CreateModel,
pow::is_ignored,
- pow::examples);
+ pow::get_examples());
}
TEST_F(GeneratedTests, pow_relaxed) {
execute(pow::CreateModel_relaxed,
pow::is_ignored_relaxed,
- pow::examples_relaxed);
+ pow::get_examples_relaxed());
}
TEST_F(GeneratedTests, pow_2) {
execute(pow::CreateModel_2,
pow::is_ignored_2,
- pow::examples_2);
+ pow::get_examples_2());
}
TEST_F(GeneratedTests, pow_relaxed_2) {
execute(pow::CreateModel_relaxed_2,
pow::is_ignored_relaxed_2,
- pow::examples_relaxed_2);
+ pow::get_examples_relaxed_2());
}
TEST_F(GeneratedTests, pow_3) {
execute(pow::CreateModel_3,
pow::is_ignored_3,
- pow::examples_3);
+ pow::get_examples_3());
}
TEST_F(GeneratedTests, pow_relaxed_3) {
execute(pow::CreateModel_relaxed_3,
pow::is_ignored_relaxed_3,
- pow::examples_relaxed_3);
+ pow::get_examples_relaxed_3());
}
diff --git a/nn/runtime/test/generated/tests/prelu.mod.py.cpp b/nn/runtime/test/generated/tests/prelu.mod.py.cpp
index a7f7c0d..f60f857 100644
--- a/nn/runtime/test/generated/tests/prelu.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/prelu.mod.py.cpp
@@ -12,36 +12,36 @@
TEST_F(GeneratedTests, prelu) {
execute(prelu::CreateModel,
prelu::is_ignored,
- prelu::examples);
+ prelu::get_examples());
}
TEST_F(GeneratedTests, prelu_relaxed) {
execute(prelu::CreateModel_relaxed,
prelu::is_ignored_relaxed,
- prelu::examples_relaxed);
+ prelu::get_examples_relaxed());
}
TEST_F(GeneratedTests, prelu_quant8) {
execute(prelu::CreateModel_quant8,
prelu::is_ignored_quant8,
- prelu::examples_quant8);
+ prelu::get_examples_quant8());
}
TEST_F(GeneratedTests, prelu_weight_as_input) {
execute(prelu::CreateModel_weight_as_input,
prelu::is_ignored_weight_as_input,
- prelu::examples_weight_as_input);
+ prelu::get_examples_weight_as_input());
}
TEST_F(GeneratedTests, prelu_weight_as_input_relaxed) {
execute(prelu::CreateModel_weight_as_input_relaxed,
prelu::is_ignored_weight_as_input_relaxed,
- prelu::examples_weight_as_input_relaxed);
+ prelu::get_examples_weight_as_input_relaxed());
}
TEST_F(GeneratedTests, prelu_weight_as_input_quant8) {
execute(prelu::CreateModel_weight_as_input_quant8,
prelu::is_ignored_weight_as_input_quant8,
- prelu::examples_weight_as_input_quant8);
+ prelu::get_examples_weight_as_input_quant8());
}
diff --git a/nn/runtime/test/generated/tests/quantize.mod.py.cpp b/nn/runtime/test/generated/tests/quantize.mod.py.cpp
index c3ec212..96d006e 100644
--- a/nn/runtime/test/generated/tests/quantize.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/quantize.mod.py.cpp
@@ -12,24 +12,24 @@
TEST_F(GeneratedTests, quantize_quant8) {
execute(quantize::CreateModel_quant8,
quantize::is_ignored_quant8,
- quantize::examples_quant8);
+ quantize::get_examples_quant8());
}
TEST_F(GeneratedTests, quantize_quant8_2) {
execute(quantize::CreateModel_quant8_2,
quantize::is_ignored_quant8_2,
- quantize::examples_quant8_2);
+ quantize::get_examples_quant8_2());
}
TEST_F(GeneratedTests, quantize_quant8_3) {
execute(quantize::CreateModel_quant8_3,
quantize::is_ignored_quant8_3,
- quantize::examples_quant8_3);
+ quantize::get_examples_quant8_3());
}
TEST_F(GeneratedTests, quantize_quant8_4) {
execute(quantize::CreateModel_quant8_4,
quantize::is_ignored_quant8_4,
- quantize::examples_quant8_4);
+ quantize::get_examples_quant8_4());
}
diff --git a/nn/runtime/test/generated/tests/quantized_lstm.mod.py.cpp b/nn/runtime/test/generated/tests/quantized_lstm.mod.py.cpp
index aef2efc..5b94206 100644
--- a/nn/runtime/test/generated/tests/quantized_lstm.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/quantized_lstm.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, quantized_lstm) {
execute(quantized_lstm::CreateModel,
quantized_lstm::is_ignored,
- quantized_lstm::examples);
+ quantized_lstm::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/random_multinomial.mod.py.cpp b/nn/runtime/test/generated/tests/random_multinomial.mod.py.cpp
index dedf4de..27462bb 100644
--- a/nn/runtime/test/generated/tests/random_multinomial.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/random_multinomial.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, random_multinomial) {
execute(random_multinomial::CreateModel,
random_multinomial::is_ignored,
- random_multinomial::examples);
+ random_multinomial::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/relu1_float16_1.mod.py.cpp b/nn/runtime/test/generated/tests/relu1_float16_1.mod.py.cpp
index a8a723c..a30f0b2 100644
--- a/nn/runtime/test/generated/tests/relu1_float16_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/relu1_float16_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, relu1_float16_1) {
execute(relu1_float16_1::CreateModel,
relu1_float16_1::is_ignored,
- relu1_float16_1::examples);
+ relu1_float16_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/relu1_float16_2.mod.py.cpp b/nn/runtime/test/generated/tests/relu1_float16_2.mod.py.cpp
index 3f08b86..b8129bb 100644
--- a/nn/runtime/test/generated/tests/relu1_float16_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/relu1_float16_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, relu1_float16_2) {
execute(relu1_float16_2::CreateModel,
relu1_float16_2::is_ignored,
- relu1_float16_2::examples);
+ relu1_float16_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/relu1_float_1.mod.py.cpp b/nn/runtime/test/generated/tests/relu1_float_1.mod.py.cpp
index 2a12683..d31edec 100644
--- a/nn/runtime/test/generated/tests/relu1_float_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/relu1_float_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, relu1_float_1) {
execute(relu1_float_1::CreateModel,
relu1_float_1::is_ignored,
- relu1_float_1::examples);
+ relu1_float_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/relu1_float_1_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/relu1_float_1_relaxed.mod.py.cpp
index f1d7aad..2422eed 100644
--- a/nn/runtime/test/generated/tests/relu1_float_1_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/relu1_float_1_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, relu1_float_1_relaxed) {
execute(relu1_float_1_relaxed::CreateModel,
relu1_float_1_relaxed::is_ignored,
- relu1_float_1_relaxed::examples);
+ relu1_float_1_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/relu1_float_2.mod.py.cpp b/nn/runtime/test/generated/tests/relu1_float_2.mod.py.cpp
index af1b653..b0bbf07 100644
--- a/nn/runtime/test/generated/tests/relu1_float_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/relu1_float_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, relu1_float_2) {
execute(relu1_float_2::CreateModel,
relu1_float_2::is_ignored,
- relu1_float_2::examples);
+ relu1_float_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/relu1_float_2_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/relu1_float_2_relaxed.mod.py.cpp
index f2809af..6119764 100644
--- a/nn/runtime/test/generated/tests/relu1_float_2_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/relu1_float_2_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, relu1_float_2_relaxed) {
execute(relu1_float_2_relaxed::CreateModel,
relu1_float_2_relaxed::is_ignored,
- relu1_float_2_relaxed::examples);
+ relu1_float_2_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/relu1_quant8_1.mod.py.cpp b/nn/runtime/test/generated/tests/relu1_quant8_1.mod.py.cpp
index cb5909b..f8d4713 100644
--- a/nn/runtime/test/generated/tests/relu1_quant8_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/relu1_quant8_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, relu1_quant8_1) {
execute(relu1_quant8_1::CreateModel,
relu1_quant8_1::is_ignored,
- relu1_quant8_1::examples);
+ relu1_quant8_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/relu1_quant8_2.mod.py.cpp b/nn/runtime/test/generated/tests/relu1_quant8_2.mod.py.cpp
index b9bffae..0c90e81 100644
--- a/nn/runtime/test/generated/tests/relu1_quant8_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/relu1_quant8_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, relu1_quant8_2) {
execute(relu1_quant8_2::CreateModel,
relu1_quant8_2::is_ignored,
- relu1_quant8_2::examples);
+ relu1_quant8_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/relu6_float16_1.mod.py.cpp b/nn/runtime/test/generated/tests/relu6_float16_1.mod.py.cpp
index 5971190..305b847 100644
--- a/nn/runtime/test/generated/tests/relu6_float16_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/relu6_float16_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, relu6_float16_1) {
execute(relu6_float16_1::CreateModel,
relu6_float16_1::is_ignored,
- relu6_float16_1::examples);
+ relu6_float16_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/relu6_float16_2.mod.py.cpp b/nn/runtime/test/generated/tests/relu6_float16_2.mod.py.cpp
index 7221dfe..3fa9ba6 100644
--- a/nn/runtime/test/generated/tests/relu6_float16_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/relu6_float16_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, relu6_float16_2) {
execute(relu6_float16_2::CreateModel,
relu6_float16_2::is_ignored,
- relu6_float16_2::examples);
+ relu6_float16_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/relu6_float_1.mod.py.cpp b/nn/runtime/test/generated/tests/relu6_float_1.mod.py.cpp
index e3900cb..3e9dfe7 100644
--- a/nn/runtime/test/generated/tests/relu6_float_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/relu6_float_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, relu6_float_1) {
execute(relu6_float_1::CreateModel,
relu6_float_1::is_ignored,
- relu6_float_1::examples);
+ relu6_float_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/relu6_float_1_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/relu6_float_1_relaxed.mod.py.cpp
index bfcc1e0..40aae8d 100644
--- a/nn/runtime/test/generated/tests/relu6_float_1_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/relu6_float_1_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, relu6_float_1_relaxed) {
execute(relu6_float_1_relaxed::CreateModel,
relu6_float_1_relaxed::is_ignored,
- relu6_float_1_relaxed::examples);
+ relu6_float_1_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/relu6_float_2.mod.py.cpp b/nn/runtime/test/generated/tests/relu6_float_2.mod.py.cpp
index a06f859..5726fd3 100644
--- a/nn/runtime/test/generated/tests/relu6_float_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/relu6_float_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, relu6_float_2) {
execute(relu6_float_2::CreateModel,
relu6_float_2::is_ignored,
- relu6_float_2::examples);
+ relu6_float_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/relu6_float_2_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/relu6_float_2_relaxed.mod.py.cpp
index eb6617a..5f2256b 100644
--- a/nn/runtime/test/generated/tests/relu6_float_2_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/relu6_float_2_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, relu6_float_2_relaxed) {
execute(relu6_float_2_relaxed::CreateModel,
relu6_float_2_relaxed::is_ignored,
- relu6_float_2_relaxed::examples);
+ relu6_float_2_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/relu6_quant8_1.mod.py.cpp b/nn/runtime/test/generated/tests/relu6_quant8_1.mod.py.cpp
index fe241b5..f0b7c05 100644
--- a/nn/runtime/test/generated/tests/relu6_quant8_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/relu6_quant8_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, relu6_quant8_1) {
execute(relu6_quant8_1::CreateModel,
relu6_quant8_1::is_ignored,
- relu6_quant8_1::examples);
+ relu6_quant8_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/relu6_quant8_2.mod.py.cpp b/nn/runtime/test/generated/tests/relu6_quant8_2.mod.py.cpp
index 3ae1887..a741af6 100644
--- a/nn/runtime/test/generated/tests/relu6_quant8_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/relu6_quant8_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, relu6_quant8_2) {
execute(relu6_quant8_2::CreateModel,
relu6_quant8_2::is_ignored,
- relu6_quant8_2::examples);
+ relu6_quant8_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/relu_float16_1.mod.py.cpp b/nn/runtime/test/generated/tests/relu_float16_1.mod.py.cpp
index 3c452e3..8fec7a5 100644
--- a/nn/runtime/test/generated/tests/relu_float16_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/relu_float16_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, relu_float16_1) {
execute(relu_float16_1::CreateModel,
relu_float16_1::is_ignored,
- relu_float16_1::examples);
+ relu_float16_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/relu_float16_2.mod.py.cpp b/nn/runtime/test/generated/tests/relu_float16_2.mod.py.cpp
index 2aa5dd4..d69bde3 100644
--- a/nn/runtime/test/generated/tests/relu_float16_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/relu_float16_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, relu_float16_2) {
execute(relu_float16_2::CreateModel,
relu_float16_2::is_ignored,
- relu_float16_2::examples);
+ relu_float16_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/relu_float_1.mod.py.cpp b/nn/runtime/test/generated/tests/relu_float_1.mod.py.cpp
index e0d9f1a..3571c88 100644
--- a/nn/runtime/test/generated/tests/relu_float_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/relu_float_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, relu_float_1) {
execute(relu_float_1::CreateModel,
relu_float_1::is_ignored,
- relu_float_1::examples);
+ relu_float_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/relu_float_1_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/relu_float_1_relaxed.mod.py.cpp
index 0036ccb..bc22d8c 100644
--- a/nn/runtime/test/generated/tests/relu_float_1_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/relu_float_1_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, relu_float_1_relaxed) {
execute(relu_float_1_relaxed::CreateModel,
relu_float_1_relaxed::is_ignored,
- relu_float_1_relaxed::examples);
+ relu_float_1_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/relu_float_2.mod.py.cpp b/nn/runtime/test/generated/tests/relu_float_2.mod.py.cpp
index 57a300a..e43a145 100644
--- a/nn/runtime/test/generated/tests/relu_float_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/relu_float_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, relu_float_2) {
execute(relu_float_2::CreateModel,
relu_float_2::is_ignored,
- relu_float_2::examples);
+ relu_float_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/relu_float_2_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/relu_float_2_relaxed.mod.py.cpp
index e239539..b2adf03 100644
--- a/nn/runtime/test/generated/tests/relu_float_2_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/relu_float_2_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, relu_float_2_relaxed) {
execute(relu_float_2_relaxed::CreateModel,
relu_float_2_relaxed::is_ignored,
- relu_float_2_relaxed::examples);
+ relu_float_2_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/relu_quant8_1.mod.py.cpp b/nn/runtime/test/generated/tests/relu_quant8_1.mod.py.cpp
index 1ea5866..00d6a75 100644
--- a/nn/runtime/test/generated/tests/relu_quant8_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/relu_quant8_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, relu_quant8_1) {
execute(relu_quant8_1::CreateModel,
relu_quant8_1::is_ignored,
- relu_quant8_1::examples);
+ relu_quant8_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/relu_quant8_2.mod.py.cpp b/nn/runtime/test/generated/tests/relu_quant8_2.mod.py.cpp
index 06da896..2c74fcf 100644
--- a/nn/runtime/test/generated/tests/relu_quant8_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/relu_quant8_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, relu_quant8_2) {
execute(relu_quant8_2::CreateModel,
relu_quant8_2::is_ignored,
- relu_quant8_2::examples);
+ relu_quant8_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/reshape.mod.py.cpp b/nn/runtime/test/generated/tests/reshape.mod.py.cpp
index 92fb425..defa610 100644
--- a/nn/runtime/test/generated/tests/reshape.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/reshape.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, reshape) {
execute(reshape::CreateModel,
reshape::is_ignored,
- reshape::examples);
+ reshape::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/reshape_float16.mod.py.cpp b/nn/runtime/test/generated/tests/reshape_float16.mod.py.cpp
new file mode 100644
index 0000000..17872a2
--- /dev/null
+++ b/nn/runtime/test/generated/tests/reshape_float16.mod.py.cpp
@@ -0,0 +1,17 @@
+// clang-format off
+// Generated file (from: reshape_float16.mod.py). Do not edit
+#include "../../TestGenerated.h"
+
+namespace reshape_float16 {
+// Generated reshape_float16 test
+#include "generated/examples/reshape_float16.example.cpp"
+// Generated model constructor
+#include "generated/models/reshape_float16.model.cpp"
+} // namespace reshape_float16
+
+TEST_F(GeneratedTests, reshape_float16) {
+ execute(reshape_float16::CreateModel,
+ reshape_float16::is_ignored,
+ reshape_float16::get_examples());
+}
+
diff --git a/nn/runtime/test/generated/tests/reshape_quant8.mod.py.cpp b/nn/runtime/test/generated/tests/reshape_quant8.mod.py.cpp
index 35dee66..4bd6576 100644
--- a/nn/runtime/test/generated/tests/reshape_quant8.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/reshape_quant8.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, reshape_quant8) {
execute(reshape_quant8::CreateModel,
reshape_quant8::is_ignored,
- reshape_quant8::examples);
+ reshape_quant8::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/reshape_quant8_weights_as_inputs.mod.py.cpp b/nn/runtime/test/generated/tests/reshape_quant8_weights_as_inputs.mod.py.cpp
index 905d20b..75ef4ad 100644
--- a/nn/runtime/test/generated/tests/reshape_quant8_weights_as_inputs.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/reshape_quant8_weights_as_inputs.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, reshape_quant8_weights_as_inputs) {
execute(reshape_quant8_weights_as_inputs::CreateModel,
reshape_quant8_weights_as_inputs::is_ignored,
- reshape_quant8_weights_as_inputs::examples);
+ reshape_quant8_weights_as_inputs::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/reshape_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/reshape_relaxed.mod.py.cpp
index 014ff76..f210591 100644
--- a/nn/runtime/test/generated/tests/reshape_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/reshape_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, reshape_relaxed) {
execute(reshape_relaxed::CreateModel,
reshape_relaxed::is_ignored,
- reshape_relaxed::examples);
+ reshape_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/reshape_weights_as_inputs.mod.py.cpp b/nn/runtime/test/generated/tests/reshape_weights_as_inputs.mod.py.cpp
index a985d6d..a177770 100644
--- a/nn/runtime/test/generated/tests/reshape_weights_as_inputs.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/reshape_weights_as_inputs.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, reshape_weights_as_inputs) {
execute(reshape_weights_as_inputs::CreateModel,
reshape_weights_as_inputs::is_ignored,
- reshape_weights_as_inputs::examples);
+ reshape_weights_as_inputs::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/reshape_weights_as_inputs_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/reshape_weights_as_inputs_relaxed.mod.py.cpp
index 80dc5ff..5783793 100644
--- a/nn/runtime/test/generated/tests/reshape_weights_as_inputs_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/reshape_weights_as_inputs_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, reshape_weights_as_inputs_relaxed) {
execute(reshape_weights_as_inputs_relaxed::CreateModel,
reshape_weights_as_inputs_relaxed::is_ignored,
- reshape_weights_as_inputs_relaxed::examples);
+ reshape_weights_as_inputs_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/resize_bilinear.mod.py.cpp b/nn/runtime/test/generated/tests/resize_bilinear.mod.py.cpp
index 360e42d..788f0a4 100644
--- a/nn/runtime/test/generated/tests/resize_bilinear.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/resize_bilinear.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, resize_bilinear) {
execute(resize_bilinear::CreateModel,
resize_bilinear::is_ignored,
- resize_bilinear::examples);
+ resize_bilinear::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/resize_bilinear_2.mod.py.cpp b/nn/runtime/test/generated/tests/resize_bilinear_2.mod.py.cpp
index 9d3e635..45fe613 100644
--- a/nn/runtime/test/generated/tests/resize_bilinear_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/resize_bilinear_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, resize_bilinear_2) {
execute(resize_bilinear_2::CreateModel,
resize_bilinear_2::is_ignored,
- resize_bilinear_2::examples);
+ resize_bilinear_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/resize_bilinear_2_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/resize_bilinear_2_relaxed.mod.py.cpp
index 3e3edee..7491a4e 100644
--- a/nn/runtime/test/generated/tests/resize_bilinear_2_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/resize_bilinear_2_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, resize_bilinear_2_relaxed) {
execute(resize_bilinear_2_relaxed::CreateModel,
resize_bilinear_2_relaxed::is_ignored,
- resize_bilinear_2_relaxed::examples);
+ resize_bilinear_2_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/resize_bilinear_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/resize_bilinear_relaxed.mod.py.cpp
index 92ca320..300d9dc 100644
--- a/nn/runtime/test/generated/tests/resize_bilinear_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/resize_bilinear_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, resize_bilinear_relaxed) {
execute(resize_bilinear_relaxed::CreateModel,
resize_bilinear_relaxed::is_ignored,
- resize_bilinear_relaxed::examples);
+ resize_bilinear_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/resize_bilinear_v1_2.mod.py.cpp b/nn/runtime/test/generated/tests/resize_bilinear_v1_2.mod.py.cpp
index 5e6ab8e..347d84a 100644
--- a/nn/runtime/test/generated/tests/resize_bilinear_v1_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/resize_bilinear_v1_2.mod.py.cpp
@@ -12,48 +12,72 @@
TEST_F(GeneratedTests, resize_bilinear_v1_2_nhwc) {
execute(resize_bilinear_v1_2::CreateModel_nhwc,
resize_bilinear_v1_2::is_ignored_nhwc,
- resize_bilinear_v1_2::examples_nhwc);
+ resize_bilinear_v1_2::get_examples_nhwc());
}
TEST_F(GeneratedTests, resize_bilinear_v1_2_nhwc_relaxed) {
execute(resize_bilinear_v1_2::CreateModel_nhwc_relaxed,
resize_bilinear_v1_2::is_ignored_nhwc_relaxed,
- resize_bilinear_v1_2::examples_nhwc_relaxed);
+ resize_bilinear_v1_2::get_examples_nhwc_relaxed());
+}
+
+TEST_F(GeneratedTests, resize_bilinear_v1_2_nhwc_float16) {
+ execute(resize_bilinear_v1_2::CreateModel_nhwc_float16,
+ resize_bilinear_v1_2::is_ignored_nhwc_float16,
+ resize_bilinear_v1_2::get_examples_nhwc_float16());
}
TEST_F(GeneratedTests, resize_bilinear_v1_2_nchw) {
execute(resize_bilinear_v1_2::CreateModel_nchw,
resize_bilinear_v1_2::is_ignored_nchw,
- resize_bilinear_v1_2::examples_nchw);
+ resize_bilinear_v1_2::get_examples_nchw());
}
TEST_F(GeneratedTests, resize_bilinear_v1_2_nchw_relaxed) {
execute(resize_bilinear_v1_2::CreateModel_nchw_relaxed,
resize_bilinear_v1_2::is_ignored_nchw_relaxed,
- resize_bilinear_v1_2::examples_nchw_relaxed);
+ resize_bilinear_v1_2::get_examples_nchw_relaxed());
+}
+
+TEST_F(GeneratedTests, resize_bilinear_v1_2_nchw_float16) {
+ execute(resize_bilinear_v1_2::CreateModel_nchw_float16,
+ resize_bilinear_v1_2::is_ignored_nchw_float16,
+ resize_bilinear_v1_2::get_examples_nchw_float16());
}
TEST_F(GeneratedTests, resize_bilinear_v1_2_nhwc_2) {
execute(resize_bilinear_v1_2::CreateModel_nhwc_2,
resize_bilinear_v1_2::is_ignored_nhwc_2,
- resize_bilinear_v1_2::examples_nhwc_2);
+ resize_bilinear_v1_2::get_examples_nhwc_2());
}
TEST_F(GeneratedTests, resize_bilinear_v1_2_nhwc_relaxed_2) {
execute(resize_bilinear_v1_2::CreateModel_nhwc_relaxed_2,
resize_bilinear_v1_2::is_ignored_nhwc_relaxed_2,
- resize_bilinear_v1_2::examples_nhwc_relaxed_2);
+ resize_bilinear_v1_2::get_examples_nhwc_relaxed_2());
+}
+
+TEST_F(GeneratedTests, resize_bilinear_v1_2_nhwc_float16_2) {
+ execute(resize_bilinear_v1_2::CreateModel_nhwc_float16_2,
+ resize_bilinear_v1_2::is_ignored_nhwc_float16_2,
+ resize_bilinear_v1_2::get_examples_nhwc_float16_2());
}
TEST_F(GeneratedTests, resize_bilinear_v1_2_nchw_2) {
execute(resize_bilinear_v1_2::CreateModel_nchw_2,
resize_bilinear_v1_2::is_ignored_nchw_2,
- resize_bilinear_v1_2::examples_nchw_2);
+ resize_bilinear_v1_2::get_examples_nchw_2());
}
TEST_F(GeneratedTests, resize_bilinear_v1_2_nchw_relaxed_2) {
execute(resize_bilinear_v1_2::CreateModel_nchw_relaxed_2,
resize_bilinear_v1_2::is_ignored_nchw_relaxed_2,
- resize_bilinear_v1_2::examples_nchw_relaxed_2);
+ resize_bilinear_v1_2::get_examples_nchw_relaxed_2());
+}
+
+TEST_F(GeneratedTests, resize_bilinear_v1_2_nchw_float16_2) {
+ execute(resize_bilinear_v1_2::CreateModel_nchw_float16_2,
+ resize_bilinear_v1_2::is_ignored_nchw_float16_2,
+ resize_bilinear_v1_2::get_examples_nchw_float16_2());
}
diff --git a/nn/runtime/test/generated/tests/rnn.mod.py.cpp b/nn/runtime/test/generated/tests/rnn.mod.py.cpp
index 5fb3b76..3df79ea 100644
--- a/nn/runtime/test/generated/tests/rnn.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/rnn.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, rnn) {
execute(rnn::CreateModel,
rnn::is_ignored,
- rnn::examples);
+ rnn::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/rnn_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/rnn_relaxed.mod.py.cpp
index 71e566d..ecc6c01 100644
--- a/nn/runtime/test/generated/tests/rnn_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/rnn_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, rnn_relaxed) {
execute(rnn_relaxed::CreateModel,
rnn_relaxed::is_ignored,
- rnn_relaxed::examples);
+ rnn_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/rnn_state.mod.py.cpp b/nn/runtime/test/generated/tests/rnn_state.mod.py.cpp
index b071289..29596f6 100644
--- a/nn/runtime/test/generated/tests/rnn_state.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/rnn_state.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, rnn_state) {
execute(rnn_state::CreateModel,
rnn_state::is_ignored,
- rnn_state::examples);
+ rnn_state::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/rnn_state_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/rnn_state_relaxed.mod.py.cpp
index 36f7021..1ed9028 100644
--- a/nn/runtime/test/generated/tests/rnn_state_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/rnn_state_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, rnn_state_relaxed) {
execute(rnn_state_relaxed::CreateModel,
rnn_state_relaxed::is_ignored,
- rnn_state_relaxed::examples);
+ rnn_state_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/roi_align.mod.py.cpp b/nn/runtime/test/generated/tests/roi_align.mod.py.cpp
index 7314521..82cc178 100644
--- a/nn/runtime/test/generated/tests/roi_align.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/roi_align.mod.py.cpp
@@ -12,108 +12,108 @@
TEST_F(GeneratedTests, roi_align_nhwc) {
execute(roi_align::CreateModel_nhwc,
roi_align::is_ignored_nhwc,
- roi_align::examples_nhwc);
+ roi_align::get_examples_nhwc());
}
TEST_F(GeneratedTests, roi_align_nhwc_relaxed) {
execute(roi_align::CreateModel_nhwc_relaxed,
roi_align::is_ignored_nhwc_relaxed,
- roi_align::examples_nhwc_relaxed);
+ roi_align::get_examples_nhwc_relaxed());
}
TEST_F(GeneratedTests, roi_align_nhwc_quant8) {
execute(roi_align::CreateModel_nhwc_quant8,
roi_align::is_ignored_nhwc_quant8,
- roi_align::examples_nhwc_quant8);
+ roi_align::get_examples_nhwc_quant8());
}
TEST_F(GeneratedTests, roi_align_nchw) {
execute(roi_align::CreateModel_nchw,
roi_align::is_ignored_nchw,
- roi_align::examples_nchw);
+ roi_align::get_examples_nchw());
}
TEST_F(GeneratedTests, roi_align_nchw_relaxed) {
execute(roi_align::CreateModel_nchw_relaxed,
roi_align::is_ignored_nchw_relaxed,
- roi_align::examples_nchw_relaxed);
+ roi_align::get_examples_nchw_relaxed());
}
TEST_F(GeneratedTests, roi_align_nchw_quant8) {
execute(roi_align::CreateModel_nchw_quant8,
roi_align::is_ignored_nchw_quant8,
- roi_align::examples_nchw_quant8);
+ roi_align::get_examples_nchw_quant8());
}
TEST_F(GeneratedTests, roi_align_nhwc_2) {
execute(roi_align::CreateModel_nhwc_2,
roi_align::is_ignored_nhwc_2,
- roi_align::examples_nhwc_2);
+ roi_align::get_examples_nhwc_2());
}
TEST_F(GeneratedTests, roi_align_nhwc_relaxed_2) {
execute(roi_align::CreateModel_nhwc_relaxed_2,
roi_align::is_ignored_nhwc_relaxed_2,
- roi_align::examples_nhwc_relaxed_2);
+ roi_align::get_examples_nhwc_relaxed_2());
}
TEST_F(GeneratedTests, roi_align_nhwc_quant8_2) {
execute(roi_align::CreateModel_nhwc_quant8_2,
roi_align::is_ignored_nhwc_quant8_2,
- roi_align::examples_nhwc_quant8_2);
+ roi_align::get_examples_nhwc_quant8_2());
}
TEST_F(GeneratedTests, roi_align_nchw_2) {
execute(roi_align::CreateModel_nchw_2,
roi_align::is_ignored_nchw_2,
- roi_align::examples_nchw_2);
+ roi_align::get_examples_nchw_2());
}
TEST_F(GeneratedTests, roi_align_nchw_relaxed_2) {
execute(roi_align::CreateModel_nchw_relaxed_2,
roi_align::is_ignored_nchw_relaxed_2,
- roi_align::examples_nchw_relaxed_2);
+ roi_align::get_examples_nchw_relaxed_2());
}
TEST_F(GeneratedTests, roi_align_nchw_quant8_2) {
execute(roi_align::CreateModel_nchw_quant8_2,
roi_align::is_ignored_nchw_quant8_2,
- roi_align::examples_nchw_quant8_2);
+ roi_align::get_examples_nchw_quant8_2());
}
TEST_F(GeneratedTests, roi_align_nhwc_3) {
execute(roi_align::CreateModel_nhwc_3,
roi_align::is_ignored_nhwc_3,
- roi_align::examples_nhwc_3);
+ roi_align::get_examples_nhwc_3());
}
TEST_F(GeneratedTests, roi_align_nhwc_relaxed_3) {
execute(roi_align::CreateModel_nhwc_relaxed_3,
roi_align::is_ignored_nhwc_relaxed_3,
- roi_align::examples_nhwc_relaxed_3);
+ roi_align::get_examples_nhwc_relaxed_3());
}
TEST_F(GeneratedTests, roi_align_nhwc_quant8_3) {
execute(roi_align::CreateModel_nhwc_quant8_3,
roi_align::is_ignored_nhwc_quant8_3,
- roi_align::examples_nhwc_quant8_3);
+ roi_align::get_examples_nhwc_quant8_3());
}
TEST_F(GeneratedTests, roi_align_nchw_3) {
execute(roi_align::CreateModel_nchw_3,
roi_align::is_ignored_nchw_3,
- roi_align::examples_nchw_3);
+ roi_align::get_examples_nchw_3());
}
TEST_F(GeneratedTests, roi_align_nchw_relaxed_3) {
execute(roi_align::CreateModel_nchw_relaxed_3,
roi_align::is_ignored_nchw_relaxed_3,
- roi_align::examples_nchw_relaxed_3);
+ roi_align::get_examples_nchw_relaxed_3());
}
TEST_F(GeneratedTests, roi_align_nchw_quant8_3) {
execute(roi_align::CreateModel_nchw_quant8_3,
roi_align::is_ignored_nchw_quant8_3,
- roi_align::examples_nchw_quant8_3);
+ roi_align::get_examples_nchw_quant8_3());
}
diff --git a/nn/runtime/test/generated/tests/roi_pooling.mod.py.cpp b/nn/runtime/test/generated/tests/roi_pooling.mod.py.cpp
new file mode 100644
index 0000000..923e9ea
--- /dev/null
+++ b/nn/runtime/test/generated/tests/roi_pooling.mod.py.cpp
@@ -0,0 +1,83 @@
+// clang-format off
+// Generated file (from: roi_pooling.mod.py). Do not edit
+#include "../../TestGenerated.h"
+
+namespace roi_pooling {
+// Generated roi_pooling test
+#include "generated/examples/roi_pooling.example.cpp"
+// Generated model constructor
+#include "generated/models/roi_pooling.model.cpp"
+} // namespace roi_pooling
+
+TEST_F(GeneratedTests, roi_pooling_nhwc) {
+ execute(roi_pooling::CreateModel_nhwc,
+ roi_pooling::is_ignored_nhwc,
+ roi_pooling::get_examples_nhwc());
+}
+
+TEST_F(GeneratedTests, roi_pooling_nhwc_relaxed) {
+ execute(roi_pooling::CreateModel_nhwc_relaxed,
+ roi_pooling::is_ignored_nhwc_relaxed,
+ roi_pooling::get_examples_nhwc_relaxed());
+}
+
+TEST_F(GeneratedTests, roi_pooling_nhwc_quant8) {
+ execute(roi_pooling::CreateModel_nhwc_quant8,
+ roi_pooling::is_ignored_nhwc_quant8,
+ roi_pooling::get_examples_nhwc_quant8());
+}
+
+TEST_F(GeneratedTests, roi_pooling_nchw) {
+ execute(roi_pooling::CreateModel_nchw,
+ roi_pooling::is_ignored_nchw,
+ roi_pooling::get_examples_nchw());
+}
+
+TEST_F(GeneratedTests, roi_pooling_nchw_relaxed) {
+ execute(roi_pooling::CreateModel_nchw_relaxed,
+ roi_pooling::is_ignored_nchw_relaxed,
+ roi_pooling::get_examples_nchw_relaxed());
+}
+
+TEST_F(GeneratedTests, roi_pooling_nchw_quant8) {
+ execute(roi_pooling::CreateModel_nchw_quant8,
+ roi_pooling::is_ignored_nchw_quant8,
+ roi_pooling::get_examples_nchw_quant8());
+}
+
+TEST_F(GeneratedTests, roi_pooling_nhwc_2) {
+ execute(roi_pooling::CreateModel_nhwc_2,
+ roi_pooling::is_ignored_nhwc_2,
+ roi_pooling::get_examples_nhwc_2());
+}
+
+TEST_F(GeneratedTests, roi_pooling_nhwc_relaxed_2) {
+ execute(roi_pooling::CreateModel_nhwc_relaxed_2,
+ roi_pooling::is_ignored_nhwc_relaxed_2,
+ roi_pooling::get_examples_nhwc_relaxed_2());
+}
+
+TEST_F(GeneratedTests, roi_pooling_nhwc_quant8_2) {
+ execute(roi_pooling::CreateModel_nhwc_quant8_2,
+ roi_pooling::is_ignored_nhwc_quant8_2,
+ roi_pooling::get_examples_nhwc_quant8_2());
+}
+
+TEST_F(GeneratedTests, roi_pooling_nchw_2) {
+ execute(roi_pooling::CreateModel_nchw_2,
+ roi_pooling::is_ignored_nchw_2,
+ roi_pooling::get_examples_nchw_2());
+}
+
+TEST_F(GeneratedTests, roi_pooling_nchw_relaxed_2) {
+ execute(roi_pooling::CreateModel_nchw_relaxed_2,
+ roi_pooling::is_ignored_nchw_relaxed_2,
+ roi_pooling::get_examples_nchw_relaxed_2());
+}
+
+TEST_F(GeneratedTests, roi_pooling_nchw_quant8_2) {
+ execute(roi_pooling::CreateModel_nchw_quant8_2,
+ roi_pooling::is_ignored_nchw_quant8_2,
+ roi_pooling::get_examples_nchw_quant8_2());
+}
+
diff --git a/nn/runtime/test/generated/tests/rotated_bbox_transform.mod.py.cpp b/nn/runtime/test/generated/tests/rotated_bbox_transform.mod.py.cpp
index 5f54514..0817e5a 100644
--- a/nn/runtime/test/generated/tests/rotated_bbox_transform.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/rotated_bbox_transform.mod.py.cpp
@@ -12,48 +12,48 @@
TEST_F(GeneratedTests, rotated_bbox_transform) {
execute(rotated_bbox_transform::CreateModel,
rotated_bbox_transform::is_ignored,
- rotated_bbox_transform::examples);
+ rotated_bbox_transform::get_examples());
}
TEST_F(GeneratedTests, rotated_bbox_transform_relaxed) {
execute(rotated_bbox_transform::CreateModel_relaxed,
rotated_bbox_transform::is_ignored_relaxed,
- rotated_bbox_transform::examples_relaxed);
+ rotated_bbox_transform::get_examples_relaxed());
}
TEST_F(GeneratedTests, rotated_bbox_transform_2) {
execute(rotated_bbox_transform::CreateModel_2,
rotated_bbox_transform::is_ignored_2,
- rotated_bbox_transform::examples_2);
+ rotated_bbox_transform::get_examples_2());
}
TEST_F(GeneratedTests, rotated_bbox_transform_relaxed_2) {
execute(rotated_bbox_transform::CreateModel_relaxed_2,
rotated_bbox_transform::is_ignored_relaxed_2,
- rotated_bbox_transform::examples_relaxed_2);
+ rotated_bbox_transform::get_examples_relaxed_2());
}
TEST_F(GeneratedTests, rotated_bbox_transform_3) {
execute(rotated_bbox_transform::CreateModel_3,
rotated_bbox_transform::is_ignored_3,
- rotated_bbox_transform::examples_3);
+ rotated_bbox_transform::get_examples_3());
}
TEST_F(GeneratedTests, rotated_bbox_transform_relaxed_3) {
execute(rotated_bbox_transform::CreateModel_relaxed_3,
rotated_bbox_transform::is_ignored_relaxed_3,
- rotated_bbox_transform::examples_relaxed_3);
+ rotated_bbox_transform::get_examples_relaxed_3());
}
TEST_F(GeneratedTests, rotated_bbox_transform_single_batch) {
execute(rotated_bbox_transform::CreateModel_single_batch,
rotated_bbox_transform::is_ignored_single_batch,
- rotated_bbox_transform::examples_single_batch);
+ rotated_bbox_transform::get_examples_single_batch());
}
TEST_F(GeneratedTests, rotated_bbox_transform_single_batch_relaxed) {
execute(rotated_bbox_transform::CreateModel_single_batch_relaxed,
rotated_bbox_transform::is_ignored_single_batch_relaxed,
- rotated_bbox_transform::examples_single_batch_relaxed);
+ rotated_bbox_transform::get_examples_single_batch_relaxed());
}
diff --git a/nn/runtime/test/generated/tests/slice.mod.py.cpp b/nn/runtime/test/generated/tests/slice.mod.py.cpp
new file mode 100644
index 0000000..600affc
--- /dev/null
+++ b/nn/runtime/test/generated/tests/slice.mod.py.cpp
@@ -0,0 +1,155 @@
+// clang-format off
+// Generated file (from: slice.mod.py). Do not edit
+#include "../../TestGenerated.h"
+
+namespace slice {
+// Generated slice test
+#include "generated/examples/slice.example.cpp"
+// Generated model constructor
+#include "generated/models/slice.model.cpp"
+} // namespace slice
+
+TEST_F(GeneratedTests, slice) {
+ execute(slice::CreateModel,
+ slice::is_ignored,
+ slice::examples);
+}
+
+TEST_F(GeneratedTests, slice_relaxed) {
+ execute(slice::CreateModel_relaxed,
+ slice::is_ignored_relaxed,
+ slice::examples_relaxed);
+}
+
+TEST_F(GeneratedTests, slice_float16) {
+ execute(slice::CreateModel_float16,
+ slice::is_ignored_float16,
+ slice::examples_float16);
+}
+
+TEST_F(GeneratedTests, slice_2) {
+ execute(slice::CreateModel_2,
+ slice::is_ignored_2,
+ slice::examples_2);
+}
+
+TEST_F(GeneratedTests, slice_relaxed_2) {
+ execute(slice::CreateModel_relaxed_2,
+ slice::is_ignored_relaxed_2,
+ slice::examples_relaxed_2);
+}
+
+TEST_F(GeneratedTests, slice_float16_2) {
+ execute(slice::CreateModel_float16_2,
+ slice::is_ignored_float16_2,
+ slice::examples_float16_2);
+}
+
+TEST_F(GeneratedTests, slice_3) {
+ execute(slice::CreateModel_3,
+ slice::is_ignored_3,
+ slice::examples_3);
+}
+
+TEST_F(GeneratedTests, slice_relaxed_3) {
+ execute(slice::CreateModel_relaxed_3,
+ slice::is_ignored_relaxed_3,
+ slice::examples_relaxed_3);
+}
+
+TEST_F(GeneratedTests, slice_float16_3) {
+ execute(slice::CreateModel_float16_3,
+ slice::is_ignored_float16_3,
+ slice::examples_float16_3);
+}
+
+TEST_F(GeneratedTests, slice_4) {
+ execute(slice::CreateModel_4,
+ slice::is_ignored_4,
+ slice::examples_4);
+}
+
+TEST_F(GeneratedTests, slice_relaxed_4) {
+ execute(slice::CreateModel_relaxed_4,
+ slice::is_ignored_relaxed_4,
+ slice::examples_relaxed_4);
+}
+
+TEST_F(GeneratedTests, slice_float16_4) {
+ execute(slice::CreateModel_float16_4,
+ slice::is_ignored_float16_4,
+ slice::examples_float16_4);
+}
+
+TEST_F(GeneratedTests, slice_5) {
+ execute(slice::CreateModel_5,
+ slice::is_ignored_5,
+ slice::examples_5);
+}
+
+TEST_F(GeneratedTests, slice_relaxed_5) {
+ execute(slice::CreateModel_relaxed_5,
+ slice::is_ignored_relaxed_5,
+ slice::examples_relaxed_5);
+}
+
+TEST_F(GeneratedTests, slice_float16_5) {
+ execute(slice::CreateModel_float16_5,
+ slice::is_ignored_float16_5,
+ slice::examples_float16_5);
+}
+
+TEST_F(GeneratedTests, slice_6) {
+ execute(slice::CreateModel_6,
+ slice::is_ignored_6,
+ slice::examples_6);
+}
+
+TEST_F(GeneratedTests, slice_relaxed_6) {
+ execute(slice::CreateModel_relaxed_6,
+ slice::is_ignored_relaxed_6,
+ slice::examples_relaxed_6);
+}
+
+TEST_F(GeneratedTests, slice_float16_6) {
+ execute(slice::CreateModel_float16_6,
+ slice::is_ignored_float16_6,
+ slice::examples_float16_6);
+}
+
+TEST_F(GeneratedTests, slice_7) {
+ execute(slice::CreateModel_7,
+ slice::is_ignored_7,
+ slice::examples_7);
+}
+
+TEST_F(GeneratedTests, slice_relaxed_7) {
+ execute(slice::CreateModel_relaxed_7,
+ slice::is_ignored_relaxed_7,
+ slice::examples_relaxed_7);
+}
+
+TEST_F(GeneratedTests, slice_float16_7) {
+ execute(slice::CreateModel_float16_7,
+ slice::is_ignored_float16_7,
+ slice::examples_float16_7);
+}
+
+TEST_F(GeneratedTests, slice_8) {
+ execute(slice::CreateModel_8,
+ slice::is_ignored_8,
+ slice::examples_8);
+}
+
+TEST_F(GeneratedTests, slice_relaxed_8) {
+ execute(slice::CreateModel_relaxed_8,
+ slice::is_ignored_relaxed_8,
+ slice::examples_relaxed_8);
+}
+
+TEST_F(GeneratedTests, slice_float16_8) {
+ execute(slice::CreateModel_float16_8,
+ slice::is_ignored_float16_8,
+ slice::examples_float16_8);
+}
+
diff --git a/nn/runtime/test/generated/tests/softmax_float_1.mod.py.cpp b/nn/runtime/test/generated/tests/softmax_float_1.mod.py.cpp
index 609633d..56fe0cc 100644
--- a/nn/runtime/test/generated/tests/softmax_float_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/softmax_float_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, softmax_float_1) {
execute(softmax_float_1::CreateModel,
softmax_float_1::is_ignored,
- softmax_float_1::examples);
+ softmax_float_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/softmax_float_1_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/softmax_float_1_relaxed.mod.py.cpp
index fb3a8e1..3c35275 100644
--- a/nn/runtime/test/generated/tests/softmax_float_1_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/softmax_float_1_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, softmax_float_1_relaxed) {
execute(softmax_float_1_relaxed::CreateModel,
softmax_float_1_relaxed::is_ignored,
- softmax_float_1_relaxed::examples);
+ softmax_float_1_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/softmax_float_2.mod.py.cpp b/nn/runtime/test/generated/tests/softmax_float_2.mod.py.cpp
index e9bcf1c..e5262f8 100644
--- a/nn/runtime/test/generated/tests/softmax_float_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/softmax_float_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, softmax_float_2) {
execute(softmax_float_2::CreateModel,
softmax_float_2::is_ignored,
- softmax_float_2::examples);
+ softmax_float_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/softmax_float_2_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/softmax_float_2_relaxed.mod.py.cpp
index 9cbacb0..34d549b 100644
--- a/nn/runtime/test/generated/tests/softmax_float_2_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/softmax_float_2_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, softmax_float_2_relaxed) {
execute(softmax_float_2_relaxed::CreateModel,
softmax_float_2_relaxed::is_ignored,
- softmax_float_2_relaxed::examples);
+ softmax_float_2_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/softmax_quant8_1.mod.py.cpp b/nn/runtime/test/generated/tests/softmax_quant8_1.mod.py.cpp
index 9630571..adbb503 100644
--- a/nn/runtime/test/generated/tests/softmax_quant8_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/softmax_quant8_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, softmax_quant8_1) {
execute(softmax_quant8_1::CreateModel,
softmax_quant8_1::is_ignored,
- softmax_quant8_1::examples);
+ softmax_quant8_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/softmax_quant8_2.mod.py.cpp b/nn/runtime/test/generated/tests/softmax_quant8_2.mod.py.cpp
index a44a160..bf3ab15 100644
--- a/nn/runtime/test/generated/tests/softmax_quant8_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/softmax_quant8_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, softmax_quant8_2) {
execute(softmax_quant8_2::CreateModel,
softmax_quant8_2::is_ignored,
- softmax_quant8_2::examples);
+ softmax_quant8_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/softmax_v1_2.mod.py.cpp b/nn/runtime/test/generated/tests/softmax_v1_2.mod.py.cpp
index 54cded3..a0d2fe3 100644
--- a/nn/runtime/test/generated/tests/softmax_v1_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/softmax_v1_2.mod.py.cpp
@@ -12,1104 +12,1104 @@
TEST_F(GeneratedTests, softmax_v1_2) {
execute(softmax_v1_2::CreateModel,
softmax_v1_2::is_ignored,
- softmax_v1_2::examples);
+ softmax_v1_2::get_examples());
}
TEST_F(GeneratedTests, softmax_v1_2_dim1_axis0) {
execute(softmax_v1_2::CreateModel_dim1_axis0,
softmax_v1_2::is_ignored_dim1_axis0,
- softmax_v1_2::examples_dim1_axis0);
+ softmax_v1_2::get_examples_dim1_axis0());
}
TEST_F(GeneratedTests, softmax_v1_2_dim3_axis2) {
execute(softmax_v1_2::CreateModel_dim3_axis2,
softmax_v1_2::is_ignored_dim3_axis2,
- softmax_v1_2::examples_dim3_axis2);
+ softmax_v1_2::get_examples_dim3_axis2());
}
TEST_F(GeneratedTests, softmax_v1_2_relaxed) {
execute(softmax_v1_2::CreateModel_relaxed,
softmax_v1_2::is_ignored_relaxed,
- softmax_v1_2::examples_relaxed);
+ softmax_v1_2::get_examples_relaxed());
}
TEST_F(GeneratedTests, softmax_v1_2_relaxed_dim1_axis0) {
execute(softmax_v1_2::CreateModel_relaxed_dim1_axis0,
softmax_v1_2::is_ignored_relaxed_dim1_axis0,
- softmax_v1_2::examples_relaxed_dim1_axis0);
+ softmax_v1_2::get_examples_relaxed_dim1_axis0());
}
TEST_F(GeneratedTests, softmax_v1_2_relaxed_dim3_axis2) {
execute(softmax_v1_2::CreateModel_relaxed_dim3_axis2,
softmax_v1_2::is_ignored_relaxed_dim3_axis2,
- softmax_v1_2::examples_relaxed_dim3_axis2);
+ softmax_v1_2::get_examples_relaxed_dim3_axis2());
}
TEST_F(GeneratedTests, softmax_v1_2_float16) {
execute(softmax_v1_2::CreateModel_float16,
softmax_v1_2::is_ignored_float16,
- softmax_v1_2::examples_float16);
+ softmax_v1_2::get_examples_float16());
}
TEST_F(GeneratedTests, softmax_v1_2_float16_dim1_axis0) {
execute(softmax_v1_2::CreateModel_float16_dim1_axis0,
softmax_v1_2::is_ignored_float16_dim1_axis0,
- softmax_v1_2::examples_float16_dim1_axis0);
+ softmax_v1_2::get_examples_float16_dim1_axis0());
}
TEST_F(GeneratedTests, softmax_v1_2_float16_dim3_axis2) {
execute(softmax_v1_2::CreateModel_float16_dim3_axis2,
softmax_v1_2::is_ignored_float16_dim3_axis2,
- softmax_v1_2::examples_float16_dim3_axis2);
+ softmax_v1_2::get_examples_float16_dim3_axis2());
}
TEST_F(GeneratedTests, softmax_v1_2_quant8) {
execute(softmax_v1_2::CreateModel_quant8,
softmax_v1_2::is_ignored_quant8,
- softmax_v1_2::examples_quant8);
+ softmax_v1_2::get_examples_quant8());
}
TEST_F(GeneratedTests, softmax_v1_2_quant8_dim1_axis0) {
execute(softmax_v1_2::CreateModel_quant8_dim1_axis0,
softmax_v1_2::is_ignored_quant8_dim1_axis0,
- softmax_v1_2::examples_quant8_dim1_axis0);
+ softmax_v1_2::get_examples_quant8_dim1_axis0());
}
TEST_F(GeneratedTests, softmax_v1_2_quant8_dim3_axis2) {
execute(softmax_v1_2::CreateModel_quant8_dim3_axis2,
softmax_v1_2::is_ignored_quant8_dim3_axis2,
- softmax_v1_2::examples_quant8_dim3_axis2);
+ softmax_v1_2::get_examples_quant8_dim3_axis2());
}
TEST_F(GeneratedTests, softmax_v1_2_2) {
execute(softmax_v1_2::CreateModel_2,
softmax_v1_2::is_ignored_2,
- softmax_v1_2::examples_2);
+ softmax_v1_2::get_examples_2());
}
TEST_F(GeneratedTests, softmax_v1_2_dim1_axis0_2) {
execute(softmax_v1_2::CreateModel_dim1_axis0_2,
softmax_v1_2::is_ignored_dim1_axis0_2,
- softmax_v1_2::examples_dim1_axis0_2);
+ softmax_v1_2::get_examples_dim1_axis0_2());
}
TEST_F(GeneratedTests, softmax_v1_2_dim3_axis2_2) {
execute(softmax_v1_2::CreateModel_dim3_axis2_2,
softmax_v1_2::is_ignored_dim3_axis2_2,
- softmax_v1_2::examples_dim3_axis2_2);
+ softmax_v1_2::get_examples_dim3_axis2_2());
}
TEST_F(GeneratedTests, softmax_v1_2_relaxed_2) {
execute(softmax_v1_2::CreateModel_relaxed_2,
softmax_v1_2::is_ignored_relaxed_2,
- softmax_v1_2::examples_relaxed_2);
+ softmax_v1_2::get_examples_relaxed_2());
}
TEST_F(GeneratedTests, softmax_v1_2_relaxed_dim1_axis0_2) {
execute(softmax_v1_2::CreateModel_relaxed_dim1_axis0_2,
softmax_v1_2::is_ignored_relaxed_dim1_axis0_2,
- softmax_v1_2::examples_relaxed_dim1_axis0_2);
+ softmax_v1_2::get_examples_relaxed_dim1_axis0_2());
}
TEST_F(GeneratedTests, softmax_v1_2_relaxed_dim3_axis2_2) {
execute(softmax_v1_2::CreateModel_relaxed_dim3_axis2_2,
softmax_v1_2::is_ignored_relaxed_dim3_axis2_2,
- softmax_v1_2::examples_relaxed_dim3_axis2_2);
+ softmax_v1_2::get_examples_relaxed_dim3_axis2_2());
}
TEST_F(GeneratedTests, softmax_v1_2_float16_2) {
execute(softmax_v1_2::CreateModel_float16_2,
softmax_v1_2::is_ignored_float16_2,
- softmax_v1_2::examples_float16_2);
+ softmax_v1_2::get_examples_float16_2());
}
TEST_F(GeneratedTests, softmax_v1_2_float16_dim1_axis0_2) {
execute(softmax_v1_2::CreateModel_float16_dim1_axis0_2,
softmax_v1_2::is_ignored_float16_dim1_axis0_2,
- softmax_v1_2::examples_float16_dim1_axis0_2);
+ softmax_v1_2::get_examples_float16_dim1_axis0_2());
}
TEST_F(GeneratedTests, softmax_v1_2_float16_dim3_axis2_2) {
execute(softmax_v1_2::CreateModel_float16_dim3_axis2_2,
softmax_v1_2::is_ignored_float16_dim3_axis2_2,
- softmax_v1_2::examples_float16_dim3_axis2_2);
+ softmax_v1_2::get_examples_float16_dim3_axis2_2());
}
TEST_F(GeneratedTests, softmax_v1_2_quant8_2) {
execute(softmax_v1_2::CreateModel_quant8_2,
softmax_v1_2::is_ignored_quant8_2,
- softmax_v1_2::examples_quant8_2);
+ softmax_v1_2::get_examples_quant8_2());
}
TEST_F(GeneratedTests, softmax_v1_2_quant8_dim1_axis0_2) {
execute(softmax_v1_2::CreateModel_quant8_dim1_axis0_2,
softmax_v1_2::is_ignored_quant8_dim1_axis0_2,
- softmax_v1_2::examples_quant8_dim1_axis0_2);
+ softmax_v1_2::get_examples_quant8_dim1_axis0_2());
}
TEST_F(GeneratedTests, softmax_v1_2_quant8_dim3_axis2_2) {
execute(softmax_v1_2::CreateModel_quant8_dim3_axis2_2,
softmax_v1_2::is_ignored_quant8_dim3_axis2_2,
- softmax_v1_2::examples_quant8_dim3_axis2_2);
+ softmax_v1_2::get_examples_quant8_dim3_axis2_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim4_axis0) {
execute(softmax_v1_2::CreateModel_axis_dim4_axis0,
softmax_v1_2::is_ignored_axis_dim4_axis0,
- softmax_v1_2::examples_axis_dim4_axis0);
+ softmax_v1_2::get_examples_axis_dim4_axis0());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim4_axis0_neg) {
execute(softmax_v1_2::CreateModel_axis_dim4_axis0_neg,
softmax_v1_2::is_ignored_axis_dim4_axis0_neg,
- softmax_v1_2::examples_axis_dim4_axis0_neg);
+ softmax_v1_2::get_examples_axis_dim4_axis0_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim4_axis1) {
execute(softmax_v1_2::CreateModel_axis_dim4_axis1,
softmax_v1_2::is_ignored_axis_dim4_axis1,
- softmax_v1_2::examples_axis_dim4_axis1);
+ softmax_v1_2::get_examples_axis_dim4_axis1());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim4_axis1_neg) {
execute(softmax_v1_2::CreateModel_axis_dim4_axis1_neg,
softmax_v1_2::is_ignored_axis_dim4_axis1_neg,
- softmax_v1_2::examples_axis_dim4_axis1_neg);
+ softmax_v1_2::get_examples_axis_dim4_axis1_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim4_axis2) {
execute(softmax_v1_2::CreateModel_axis_dim4_axis2,
softmax_v1_2::is_ignored_axis_dim4_axis2,
- softmax_v1_2::examples_axis_dim4_axis2);
+ softmax_v1_2::get_examples_axis_dim4_axis2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim4_axis2_neg) {
execute(softmax_v1_2::CreateModel_axis_dim4_axis2_neg,
softmax_v1_2::is_ignored_axis_dim4_axis2_neg,
- softmax_v1_2::examples_axis_dim4_axis2_neg);
+ softmax_v1_2::get_examples_axis_dim4_axis2_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim4_axis3) {
execute(softmax_v1_2::CreateModel_axis_dim4_axis3,
softmax_v1_2::is_ignored_axis_dim4_axis3,
- softmax_v1_2::examples_axis_dim4_axis3);
+ softmax_v1_2::get_examples_axis_dim4_axis3());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim4_axis3_neg) {
execute(softmax_v1_2::CreateModel_axis_dim4_axis3_neg,
softmax_v1_2::is_ignored_axis_dim4_axis3_neg,
- softmax_v1_2::examples_axis_dim4_axis3_neg);
+ softmax_v1_2::get_examples_axis_dim4_axis3_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim3_axis0) {
execute(softmax_v1_2::CreateModel_axis_dim3_axis0,
softmax_v1_2::is_ignored_axis_dim3_axis0,
- softmax_v1_2::examples_axis_dim3_axis0);
+ softmax_v1_2::get_examples_axis_dim3_axis0());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim3_axis0_neg) {
execute(softmax_v1_2::CreateModel_axis_dim3_axis0_neg,
softmax_v1_2::is_ignored_axis_dim3_axis0_neg,
- softmax_v1_2::examples_axis_dim3_axis0_neg);
+ softmax_v1_2::get_examples_axis_dim3_axis0_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim3_axis1) {
execute(softmax_v1_2::CreateModel_axis_dim3_axis1,
softmax_v1_2::is_ignored_axis_dim3_axis1,
- softmax_v1_2::examples_axis_dim3_axis1);
+ softmax_v1_2::get_examples_axis_dim3_axis1());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim3_axis1_neg) {
execute(softmax_v1_2::CreateModel_axis_dim3_axis1_neg,
softmax_v1_2::is_ignored_axis_dim3_axis1_neg,
- softmax_v1_2::examples_axis_dim3_axis1_neg);
+ softmax_v1_2::get_examples_axis_dim3_axis1_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim3_axis2) {
execute(softmax_v1_2::CreateModel_axis_dim3_axis2,
softmax_v1_2::is_ignored_axis_dim3_axis2,
- softmax_v1_2::examples_axis_dim3_axis2);
+ softmax_v1_2::get_examples_axis_dim3_axis2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim3_axis2_neg) {
execute(softmax_v1_2::CreateModel_axis_dim3_axis2_neg,
softmax_v1_2::is_ignored_axis_dim3_axis2_neg,
- softmax_v1_2::examples_axis_dim3_axis2_neg);
+ softmax_v1_2::get_examples_axis_dim3_axis2_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim2_axis0) {
execute(softmax_v1_2::CreateModel_axis_dim2_axis0,
softmax_v1_2::is_ignored_axis_dim2_axis0,
- softmax_v1_2::examples_axis_dim2_axis0);
+ softmax_v1_2::get_examples_axis_dim2_axis0());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim2_axis0_neg) {
execute(softmax_v1_2::CreateModel_axis_dim2_axis0_neg,
softmax_v1_2::is_ignored_axis_dim2_axis0_neg,
- softmax_v1_2::examples_axis_dim2_axis0_neg);
+ softmax_v1_2::get_examples_axis_dim2_axis0_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim2_axis1) {
execute(softmax_v1_2::CreateModel_axis_dim2_axis1,
softmax_v1_2::is_ignored_axis_dim2_axis1,
- softmax_v1_2::examples_axis_dim2_axis1);
+ softmax_v1_2::get_examples_axis_dim2_axis1());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim2_axis1_neg) {
execute(softmax_v1_2::CreateModel_axis_dim2_axis1_neg,
softmax_v1_2::is_ignored_axis_dim2_axis1_neg,
- softmax_v1_2::examples_axis_dim2_axis1_neg);
+ softmax_v1_2::get_examples_axis_dim2_axis1_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim1_axis0) {
execute(softmax_v1_2::CreateModel_axis_dim1_axis0,
softmax_v1_2::is_ignored_axis_dim1_axis0,
- softmax_v1_2::examples_axis_dim1_axis0);
+ softmax_v1_2::get_examples_axis_dim1_axis0());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim1_axis0_neg) {
execute(softmax_v1_2::CreateModel_axis_dim1_axis0_neg,
softmax_v1_2::is_ignored_axis_dim1_axis0_neg,
- softmax_v1_2::examples_axis_dim1_axis0_neg);
+ softmax_v1_2::get_examples_axis_dim1_axis0_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim4_axis0) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim4_axis0,
softmax_v1_2::is_ignored_axis_relaxed_dim4_axis0,
- softmax_v1_2::examples_axis_relaxed_dim4_axis0);
+ softmax_v1_2::get_examples_axis_relaxed_dim4_axis0());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim4_axis0_neg) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim4_axis0_neg,
softmax_v1_2::is_ignored_axis_relaxed_dim4_axis0_neg,
- softmax_v1_2::examples_axis_relaxed_dim4_axis0_neg);
+ softmax_v1_2::get_examples_axis_relaxed_dim4_axis0_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim4_axis1) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim4_axis1,
softmax_v1_2::is_ignored_axis_relaxed_dim4_axis1,
- softmax_v1_2::examples_axis_relaxed_dim4_axis1);
+ softmax_v1_2::get_examples_axis_relaxed_dim4_axis1());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim4_axis1_neg) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim4_axis1_neg,
softmax_v1_2::is_ignored_axis_relaxed_dim4_axis1_neg,
- softmax_v1_2::examples_axis_relaxed_dim4_axis1_neg);
+ softmax_v1_2::get_examples_axis_relaxed_dim4_axis1_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim4_axis2) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim4_axis2,
softmax_v1_2::is_ignored_axis_relaxed_dim4_axis2,
- softmax_v1_2::examples_axis_relaxed_dim4_axis2);
+ softmax_v1_2::get_examples_axis_relaxed_dim4_axis2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim4_axis2_neg) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim4_axis2_neg,
softmax_v1_2::is_ignored_axis_relaxed_dim4_axis2_neg,
- softmax_v1_2::examples_axis_relaxed_dim4_axis2_neg);
+ softmax_v1_2::get_examples_axis_relaxed_dim4_axis2_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim4_axis3) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim4_axis3,
softmax_v1_2::is_ignored_axis_relaxed_dim4_axis3,
- softmax_v1_2::examples_axis_relaxed_dim4_axis3);
+ softmax_v1_2::get_examples_axis_relaxed_dim4_axis3());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim4_axis3_neg) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim4_axis3_neg,
softmax_v1_2::is_ignored_axis_relaxed_dim4_axis3_neg,
- softmax_v1_2::examples_axis_relaxed_dim4_axis3_neg);
+ softmax_v1_2::get_examples_axis_relaxed_dim4_axis3_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim3_axis0) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim3_axis0,
softmax_v1_2::is_ignored_axis_relaxed_dim3_axis0,
- softmax_v1_2::examples_axis_relaxed_dim3_axis0);
+ softmax_v1_2::get_examples_axis_relaxed_dim3_axis0());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim3_axis0_neg) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim3_axis0_neg,
softmax_v1_2::is_ignored_axis_relaxed_dim3_axis0_neg,
- softmax_v1_2::examples_axis_relaxed_dim3_axis0_neg);
+ softmax_v1_2::get_examples_axis_relaxed_dim3_axis0_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim3_axis1) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim3_axis1,
softmax_v1_2::is_ignored_axis_relaxed_dim3_axis1,
- softmax_v1_2::examples_axis_relaxed_dim3_axis1);
+ softmax_v1_2::get_examples_axis_relaxed_dim3_axis1());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim3_axis1_neg) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim3_axis1_neg,
softmax_v1_2::is_ignored_axis_relaxed_dim3_axis1_neg,
- softmax_v1_2::examples_axis_relaxed_dim3_axis1_neg);
+ softmax_v1_2::get_examples_axis_relaxed_dim3_axis1_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim3_axis2) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim3_axis2,
softmax_v1_2::is_ignored_axis_relaxed_dim3_axis2,
- softmax_v1_2::examples_axis_relaxed_dim3_axis2);
+ softmax_v1_2::get_examples_axis_relaxed_dim3_axis2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim3_axis2_neg) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim3_axis2_neg,
softmax_v1_2::is_ignored_axis_relaxed_dim3_axis2_neg,
- softmax_v1_2::examples_axis_relaxed_dim3_axis2_neg);
+ softmax_v1_2::get_examples_axis_relaxed_dim3_axis2_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim2_axis0) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim2_axis0,
softmax_v1_2::is_ignored_axis_relaxed_dim2_axis0,
- softmax_v1_2::examples_axis_relaxed_dim2_axis0);
+ softmax_v1_2::get_examples_axis_relaxed_dim2_axis0());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim2_axis0_neg) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim2_axis0_neg,
softmax_v1_2::is_ignored_axis_relaxed_dim2_axis0_neg,
- softmax_v1_2::examples_axis_relaxed_dim2_axis0_neg);
+ softmax_v1_2::get_examples_axis_relaxed_dim2_axis0_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim2_axis1) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim2_axis1,
softmax_v1_2::is_ignored_axis_relaxed_dim2_axis1,
- softmax_v1_2::examples_axis_relaxed_dim2_axis1);
+ softmax_v1_2::get_examples_axis_relaxed_dim2_axis1());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim2_axis1_neg) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim2_axis1_neg,
softmax_v1_2::is_ignored_axis_relaxed_dim2_axis1_neg,
- softmax_v1_2::examples_axis_relaxed_dim2_axis1_neg);
+ softmax_v1_2::get_examples_axis_relaxed_dim2_axis1_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim1_axis0) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim1_axis0,
softmax_v1_2::is_ignored_axis_relaxed_dim1_axis0,
- softmax_v1_2::examples_axis_relaxed_dim1_axis0);
+ softmax_v1_2::get_examples_axis_relaxed_dim1_axis0());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim1_axis0_neg) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim1_axis0_neg,
softmax_v1_2::is_ignored_axis_relaxed_dim1_axis0_neg,
- softmax_v1_2::examples_axis_relaxed_dim1_axis0_neg);
+ softmax_v1_2::get_examples_axis_relaxed_dim1_axis0_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim4_axis0) {
execute(softmax_v1_2::CreateModel_axis_float16_dim4_axis0,
softmax_v1_2::is_ignored_axis_float16_dim4_axis0,
- softmax_v1_2::examples_axis_float16_dim4_axis0);
+ softmax_v1_2::get_examples_axis_float16_dim4_axis0());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim4_axis0_neg) {
execute(softmax_v1_2::CreateModel_axis_float16_dim4_axis0_neg,
softmax_v1_2::is_ignored_axis_float16_dim4_axis0_neg,
- softmax_v1_2::examples_axis_float16_dim4_axis0_neg);
+ softmax_v1_2::get_examples_axis_float16_dim4_axis0_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim4_axis1) {
execute(softmax_v1_2::CreateModel_axis_float16_dim4_axis1,
softmax_v1_2::is_ignored_axis_float16_dim4_axis1,
- softmax_v1_2::examples_axis_float16_dim4_axis1);
+ softmax_v1_2::get_examples_axis_float16_dim4_axis1());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim4_axis1_neg) {
execute(softmax_v1_2::CreateModel_axis_float16_dim4_axis1_neg,
softmax_v1_2::is_ignored_axis_float16_dim4_axis1_neg,
- softmax_v1_2::examples_axis_float16_dim4_axis1_neg);
+ softmax_v1_2::get_examples_axis_float16_dim4_axis1_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim4_axis2) {
execute(softmax_v1_2::CreateModel_axis_float16_dim4_axis2,
softmax_v1_2::is_ignored_axis_float16_dim4_axis2,
- softmax_v1_2::examples_axis_float16_dim4_axis2);
+ softmax_v1_2::get_examples_axis_float16_dim4_axis2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim4_axis2_neg) {
execute(softmax_v1_2::CreateModel_axis_float16_dim4_axis2_neg,
softmax_v1_2::is_ignored_axis_float16_dim4_axis2_neg,
- softmax_v1_2::examples_axis_float16_dim4_axis2_neg);
+ softmax_v1_2::get_examples_axis_float16_dim4_axis2_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim4_axis3) {
execute(softmax_v1_2::CreateModel_axis_float16_dim4_axis3,
softmax_v1_2::is_ignored_axis_float16_dim4_axis3,
- softmax_v1_2::examples_axis_float16_dim4_axis3);
+ softmax_v1_2::get_examples_axis_float16_dim4_axis3());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim4_axis3_neg) {
execute(softmax_v1_2::CreateModel_axis_float16_dim4_axis3_neg,
softmax_v1_2::is_ignored_axis_float16_dim4_axis3_neg,
- softmax_v1_2::examples_axis_float16_dim4_axis3_neg);
+ softmax_v1_2::get_examples_axis_float16_dim4_axis3_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim3_axis0) {
execute(softmax_v1_2::CreateModel_axis_float16_dim3_axis0,
softmax_v1_2::is_ignored_axis_float16_dim3_axis0,
- softmax_v1_2::examples_axis_float16_dim3_axis0);
+ softmax_v1_2::get_examples_axis_float16_dim3_axis0());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim3_axis0_neg) {
execute(softmax_v1_2::CreateModel_axis_float16_dim3_axis0_neg,
softmax_v1_2::is_ignored_axis_float16_dim3_axis0_neg,
- softmax_v1_2::examples_axis_float16_dim3_axis0_neg);
+ softmax_v1_2::get_examples_axis_float16_dim3_axis0_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim3_axis1) {
execute(softmax_v1_2::CreateModel_axis_float16_dim3_axis1,
softmax_v1_2::is_ignored_axis_float16_dim3_axis1,
- softmax_v1_2::examples_axis_float16_dim3_axis1);
+ softmax_v1_2::get_examples_axis_float16_dim3_axis1());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim3_axis1_neg) {
execute(softmax_v1_2::CreateModel_axis_float16_dim3_axis1_neg,
softmax_v1_2::is_ignored_axis_float16_dim3_axis1_neg,
- softmax_v1_2::examples_axis_float16_dim3_axis1_neg);
+ softmax_v1_2::get_examples_axis_float16_dim3_axis1_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim3_axis2) {
execute(softmax_v1_2::CreateModel_axis_float16_dim3_axis2,
softmax_v1_2::is_ignored_axis_float16_dim3_axis2,
- softmax_v1_2::examples_axis_float16_dim3_axis2);
+ softmax_v1_2::get_examples_axis_float16_dim3_axis2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim3_axis2_neg) {
execute(softmax_v1_2::CreateModel_axis_float16_dim3_axis2_neg,
softmax_v1_2::is_ignored_axis_float16_dim3_axis2_neg,
- softmax_v1_2::examples_axis_float16_dim3_axis2_neg);
+ softmax_v1_2::get_examples_axis_float16_dim3_axis2_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim2_axis0) {
execute(softmax_v1_2::CreateModel_axis_float16_dim2_axis0,
softmax_v1_2::is_ignored_axis_float16_dim2_axis0,
- softmax_v1_2::examples_axis_float16_dim2_axis0);
+ softmax_v1_2::get_examples_axis_float16_dim2_axis0());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim2_axis0_neg) {
execute(softmax_v1_2::CreateModel_axis_float16_dim2_axis0_neg,
softmax_v1_2::is_ignored_axis_float16_dim2_axis0_neg,
- softmax_v1_2::examples_axis_float16_dim2_axis0_neg);
+ softmax_v1_2::get_examples_axis_float16_dim2_axis0_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim2_axis1) {
execute(softmax_v1_2::CreateModel_axis_float16_dim2_axis1,
softmax_v1_2::is_ignored_axis_float16_dim2_axis1,
- softmax_v1_2::examples_axis_float16_dim2_axis1);
+ softmax_v1_2::get_examples_axis_float16_dim2_axis1());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim2_axis1_neg) {
execute(softmax_v1_2::CreateModel_axis_float16_dim2_axis1_neg,
softmax_v1_2::is_ignored_axis_float16_dim2_axis1_neg,
- softmax_v1_2::examples_axis_float16_dim2_axis1_neg);
+ softmax_v1_2::get_examples_axis_float16_dim2_axis1_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim1_axis0) {
execute(softmax_v1_2::CreateModel_axis_float16_dim1_axis0,
softmax_v1_2::is_ignored_axis_float16_dim1_axis0,
- softmax_v1_2::examples_axis_float16_dim1_axis0);
+ softmax_v1_2::get_examples_axis_float16_dim1_axis0());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim1_axis0_neg) {
execute(softmax_v1_2::CreateModel_axis_float16_dim1_axis0_neg,
softmax_v1_2::is_ignored_axis_float16_dim1_axis0_neg,
- softmax_v1_2::examples_axis_float16_dim1_axis0_neg);
+ softmax_v1_2::get_examples_axis_float16_dim1_axis0_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim4_axis0) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim4_axis0,
softmax_v1_2::is_ignored_axis_quant8_dim4_axis0,
- softmax_v1_2::examples_axis_quant8_dim4_axis0);
+ softmax_v1_2::get_examples_axis_quant8_dim4_axis0());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim4_axis0_neg) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim4_axis0_neg,
softmax_v1_2::is_ignored_axis_quant8_dim4_axis0_neg,
- softmax_v1_2::examples_axis_quant8_dim4_axis0_neg);
+ softmax_v1_2::get_examples_axis_quant8_dim4_axis0_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim4_axis1) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim4_axis1,
softmax_v1_2::is_ignored_axis_quant8_dim4_axis1,
- softmax_v1_2::examples_axis_quant8_dim4_axis1);
+ softmax_v1_2::get_examples_axis_quant8_dim4_axis1());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim4_axis1_neg) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim4_axis1_neg,
softmax_v1_2::is_ignored_axis_quant8_dim4_axis1_neg,
- softmax_v1_2::examples_axis_quant8_dim4_axis1_neg);
+ softmax_v1_2::get_examples_axis_quant8_dim4_axis1_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim4_axis2) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim4_axis2,
softmax_v1_2::is_ignored_axis_quant8_dim4_axis2,
- softmax_v1_2::examples_axis_quant8_dim4_axis2);
+ softmax_v1_2::get_examples_axis_quant8_dim4_axis2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim4_axis2_neg) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim4_axis2_neg,
softmax_v1_2::is_ignored_axis_quant8_dim4_axis2_neg,
- softmax_v1_2::examples_axis_quant8_dim4_axis2_neg);
+ softmax_v1_2::get_examples_axis_quant8_dim4_axis2_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim4_axis3) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim4_axis3,
softmax_v1_2::is_ignored_axis_quant8_dim4_axis3,
- softmax_v1_2::examples_axis_quant8_dim4_axis3);
+ softmax_v1_2::get_examples_axis_quant8_dim4_axis3());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim4_axis3_neg) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim4_axis3_neg,
softmax_v1_2::is_ignored_axis_quant8_dim4_axis3_neg,
- softmax_v1_2::examples_axis_quant8_dim4_axis3_neg);
+ softmax_v1_2::get_examples_axis_quant8_dim4_axis3_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim3_axis0) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim3_axis0,
softmax_v1_2::is_ignored_axis_quant8_dim3_axis0,
- softmax_v1_2::examples_axis_quant8_dim3_axis0);
+ softmax_v1_2::get_examples_axis_quant8_dim3_axis0());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim3_axis0_neg) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim3_axis0_neg,
softmax_v1_2::is_ignored_axis_quant8_dim3_axis0_neg,
- softmax_v1_2::examples_axis_quant8_dim3_axis0_neg);
+ softmax_v1_2::get_examples_axis_quant8_dim3_axis0_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim3_axis1) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim3_axis1,
softmax_v1_2::is_ignored_axis_quant8_dim3_axis1,
- softmax_v1_2::examples_axis_quant8_dim3_axis1);
+ softmax_v1_2::get_examples_axis_quant8_dim3_axis1());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim3_axis1_neg) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim3_axis1_neg,
softmax_v1_2::is_ignored_axis_quant8_dim3_axis1_neg,
- softmax_v1_2::examples_axis_quant8_dim3_axis1_neg);
+ softmax_v1_2::get_examples_axis_quant8_dim3_axis1_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim3_axis2) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim3_axis2,
softmax_v1_2::is_ignored_axis_quant8_dim3_axis2,
- softmax_v1_2::examples_axis_quant8_dim3_axis2);
+ softmax_v1_2::get_examples_axis_quant8_dim3_axis2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim3_axis2_neg) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim3_axis2_neg,
softmax_v1_2::is_ignored_axis_quant8_dim3_axis2_neg,
- softmax_v1_2::examples_axis_quant8_dim3_axis2_neg);
+ softmax_v1_2::get_examples_axis_quant8_dim3_axis2_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim2_axis0) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim2_axis0,
softmax_v1_2::is_ignored_axis_quant8_dim2_axis0,
- softmax_v1_2::examples_axis_quant8_dim2_axis0);
+ softmax_v1_2::get_examples_axis_quant8_dim2_axis0());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim2_axis0_neg) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim2_axis0_neg,
softmax_v1_2::is_ignored_axis_quant8_dim2_axis0_neg,
- softmax_v1_2::examples_axis_quant8_dim2_axis0_neg);
+ softmax_v1_2::get_examples_axis_quant8_dim2_axis0_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim2_axis1) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim2_axis1,
softmax_v1_2::is_ignored_axis_quant8_dim2_axis1,
- softmax_v1_2::examples_axis_quant8_dim2_axis1);
+ softmax_v1_2::get_examples_axis_quant8_dim2_axis1());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim2_axis1_neg) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim2_axis1_neg,
softmax_v1_2::is_ignored_axis_quant8_dim2_axis1_neg,
- softmax_v1_2::examples_axis_quant8_dim2_axis1_neg);
+ softmax_v1_2::get_examples_axis_quant8_dim2_axis1_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim1_axis0) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim1_axis0,
softmax_v1_2::is_ignored_axis_quant8_dim1_axis0,
- softmax_v1_2::examples_axis_quant8_dim1_axis0);
+ softmax_v1_2::get_examples_axis_quant8_dim1_axis0());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim1_axis0_neg) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim1_axis0_neg,
softmax_v1_2::is_ignored_axis_quant8_dim1_axis0_neg,
- softmax_v1_2::examples_axis_quant8_dim1_axis0_neg);
+ softmax_v1_2::get_examples_axis_quant8_dim1_axis0_neg());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim4_axis0_2) {
execute(softmax_v1_2::CreateModel_axis_dim4_axis0_2,
softmax_v1_2::is_ignored_axis_dim4_axis0_2,
- softmax_v1_2::examples_axis_dim4_axis0_2);
+ softmax_v1_2::get_examples_axis_dim4_axis0_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim4_axis0_neg_2) {
execute(softmax_v1_2::CreateModel_axis_dim4_axis0_neg_2,
softmax_v1_2::is_ignored_axis_dim4_axis0_neg_2,
- softmax_v1_2::examples_axis_dim4_axis0_neg_2);
+ softmax_v1_2::get_examples_axis_dim4_axis0_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim4_axis1_2) {
execute(softmax_v1_2::CreateModel_axis_dim4_axis1_2,
softmax_v1_2::is_ignored_axis_dim4_axis1_2,
- softmax_v1_2::examples_axis_dim4_axis1_2);
+ softmax_v1_2::get_examples_axis_dim4_axis1_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim4_axis1_neg_2) {
execute(softmax_v1_2::CreateModel_axis_dim4_axis1_neg_2,
softmax_v1_2::is_ignored_axis_dim4_axis1_neg_2,
- softmax_v1_2::examples_axis_dim4_axis1_neg_2);
+ softmax_v1_2::get_examples_axis_dim4_axis1_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim4_axis2_2) {
execute(softmax_v1_2::CreateModel_axis_dim4_axis2_2,
softmax_v1_2::is_ignored_axis_dim4_axis2_2,
- softmax_v1_2::examples_axis_dim4_axis2_2);
+ softmax_v1_2::get_examples_axis_dim4_axis2_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim4_axis2_neg_2) {
execute(softmax_v1_2::CreateModel_axis_dim4_axis2_neg_2,
softmax_v1_2::is_ignored_axis_dim4_axis2_neg_2,
- softmax_v1_2::examples_axis_dim4_axis2_neg_2);
+ softmax_v1_2::get_examples_axis_dim4_axis2_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim4_axis3_2) {
execute(softmax_v1_2::CreateModel_axis_dim4_axis3_2,
softmax_v1_2::is_ignored_axis_dim4_axis3_2,
- softmax_v1_2::examples_axis_dim4_axis3_2);
+ softmax_v1_2::get_examples_axis_dim4_axis3_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim4_axis3_neg_2) {
execute(softmax_v1_2::CreateModel_axis_dim4_axis3_neg_2,
softmax_v1_2::is_ignored_axis_dim4_axis3_neg_2,
- softmax_v1_2::examples_axis_dim4_axis3_neg_2);
+ softmax_v1_2::get_examples_axis_dim4_axis3_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim3_axis0_2) {
execute(softmax_v1_2::CreateModel_axis_dim3_axis0_2,
softmax_v1_2::is_ignored_axis_dim3_axis0_2,
- softmax_v1_2::examples_axis_dim3_axis0_2);
+ softmax_v1_2::get_examples_axis_dim3_axis0_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim3_axis0_neg_2) {
execute(softmax_v1_2::CreateModel_axis_dim3_axis0_neg_2,
softmax_v1_2::is_ignored_axis_dim3_axis0_neg_2,
- softmax_v1_2::examples_axis_dim3_axis0_neg_2);
+ softmax_v1_2::get_examples_axis_dim3_axis0_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim3_axis1_2) {
execute(softmax_v1_2::CreateModel_axis_dim3_axis1_2,
softmax_v1_2::is_ignored_axis_dim3_axis1_2,
- softmax_v1_2::examples_axis_dim3_axis1_2);
+ softmax_v1_2::get_examples_axis_dim3_axis1_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim3_axis1_neg_2) {
execute(softmax_v1_2::CreateModel_axis_dim3_axis1_neg_2,
softmax_v1_2::is_ignored_axis_dim3_axis1_neg_2,
- softmax_v1_2::examples_axis_dim3_axis1_neg_2);
+ softmax_v1_2::get_examples_axis_dim3_axis1_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim3_axis2_2) {
execute(softmax_v1_2::CreateModel_axis_dim3_axis2_2,
softmax_v1_2::is_ignored_axis_dim3_axis2_2,
- softmax_v1_2::examples_axis_dim3_axis2_2);
+ softmax_v1_2::get_examples_axis_dim3_axis2_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim3_axis2_neg_2) {
execute(softmax_v1_2::CreateModel_axis_dim3_axis2_neg_2,
softmax_v1_2::is_ignored_axis_dim3_axis2_neg_2,
- softmax_v1_2::examples_axis_dim3_axis2_neg_2);
+ softmax_v1_2::get_examples_axis_dim3_axis2_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim2_axis0_2) {
execute(softmax_v1_2::CreateModel_axis_dim2_axis0_2,
softmax_v1_2::is_ignored_axis_dim2_axis0_2,
- softmax_v1_2::examples_axis_dim2_axis0_2);
+ softmax_v1_2::get_examples_axis_dim2_axis0_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim2_axis0_neg_2) {
execute(softmax_v1_2::CreateModel_axis_dim2_axis0_neg_2,
softmax_v1_2::is_ignored_axis_dim2_axis0_neg_2,
- softmax_v1_2::examples_axis_dim2_axis0_neg_2);
+ softmax_v1_2::get_examples_axis_dim2_axis0_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim2_axis1_2) {
execute(softmax_v1_2::CreateModel_axis_dim2_axis1_2,
softmax_v1_2::is_ignored_axis_dim2_axis1_2,
- softmax_v1_2::examples_axis_dim2_axis1_2);
+ softmax_v1_2::get_examples_axis_dim2_axis1_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim2_axis1_neg_2) {
execute(softmax_v1_2::CreateModel_axis_dim2_axis1_neg_2,
softmax_v1_2::is_ignored_axis_dim2_axis1_neg_2,
- softmax_v1_2::examples_axis_dim2_axis1_neg_2);
+ softmax_v1_2::get_examples_axis_dim2_axis1_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim1_axis0_2) {
execute(softmax_v1_2::CreateModel_axis_dim1_axis0_2,
softmax_v1_2::is_ignored_axis_dim1_axis0_2,
- softmax_v1_2::examples_axis_dim1_axis0_2);
+ softmax_v1_2::get_examples_axis_dim1_axis0_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_dim1_axis0_neg_2) {
execute(softmax_v1_2::CreateModel_axis_dim1_axis0_neg_2,
softmax_v1_2::is_ignored_axis_dim1_axis0_neg_2,
- softmax_v1_2::examples_axis_dim1_axis0_neg_2);
+ softmax_v1_2::get_examples_axis_dim1_axis0_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim4_axis0_2) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim4_axis0_2,
softmax_v1_2::is_ignored_axis_relaxed_dim4_axis0_2,
- softmax_v1_2::examples_axis_relaxed_dim4_axis0_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim4_axis0_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim4_axis0_neg_2) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim4_axis0_neg_2,
softmax_v1_2::is_ignored_axis_relaxed_dim4_axis0_neg_2,
- softmax_v1_2::examples_axis_relaxed_dim4_axis0_neg_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim4_axis0_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim4_axis1_2) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim4_axis1_2,
softmax_v1_2::is_ignored_axis_relaxed_dim4_axis1_2,
- softmax_v1_2::examples_axis_relaxed_dim4_axis1_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim4_axis1_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim4_axis1_neg_2) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim4_axis1_neg_2,
softmax_v1_2::is_ignored_axis_relaxed_dim4_axis1_neg_2,
- softmax_v1_2::examples_axis_relaxed_dim4_axis1_neg_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim4_axis1_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim4_axis2_2) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim4_axis2_2,
softmax_v1_2::is_ignored_axis_relaxed_dim4_axis2_2,
- softmax_v1_2::examples_axis_relaxed_dim4_axis2_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim4_axis2_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim4_axis2_neg_2) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim4_axis2_neg_2,
softmax_v1_2::is_ignored_axis_relaxed_dim4_axis2_neg_2,
- softmax_v1_2::examples_axis_relaxed_dim4_axis2_neg_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim4_axis2_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim4_axis3_2) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim4_axis3_2,
softmax_v1_2::is_ignored_axis_relaxed_dim4_axis3_2,
- softmax_v1_2::examples_axis_relaxed_dim4_axis3_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim4_axis3_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim4_axis3_neg_2) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim4_axis3_neg_2,
softmax_v1_2::is_ignored_axis_relaxed_dim4_axis3_neg_2,
- softmax_v1_2::examples_axis_relaxed_dim4_axis3_neg_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim4_axis3_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim3_axis0_2) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim3_axis0_2,
softmax_v1_2::is_ignored_axis_relaxed_dim3_axis0_2,
- softmax_v1_2::examples_axis_relaxed_dim3_axis0_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim3_axis0_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim3_axis0_neg_2) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim3_axis0_neg_2,
softmax_v1_2::is_ignored_axis_relaxed_dim3_axis0_neg_2,
- softmax_v1_2::examples_axis_relaxed_dim3_axis0_neg_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim3_axis0_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim3_axis1_2) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim3_axis1_2,
softmax_v1_2::is_ignored_axis_relaxed_dim3_axis1_2,
- softmax_v1_2::examples_axis_relaxed_dim3_axis1_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim3_axis1_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim3_axis1_neg_2) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim3_axis1_neg_2,
softmax_v1_2::is_ignored_axis_relaxed_dim3_axis1_neg_2,
- softmax_v1_2::examples_axis_relaxed_dim3_axis1_neg_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim3_axis1_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim3_axis2_2) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim3_axis2_2,
softmax_v1_2::is_ignored_axis_relaxed_dim3_axis2_2,
- softmax_v1_2::examples_axis_relaxed_dim3_axis2_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim3_axis2_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim3_axis2_neg_2) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim3_axis2_neg_2,
softmax_v1_2::is_ignored_axis_relaxed_dim3_axis2_neg_2,
- softmax_v1_2::examples_axis_relaxed_dim3_axis2_neg_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim3_axis2_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim2_axis0_2) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim2_axis0_2,
softmax_v1_2::is_ignored_axis_relaxed_dim2_axis0_2,
- softmax_v1_2::examples_axis_relaxed_dim2_axis0_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim2_axis0_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim2_axis0_neg_2) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim2_axis0_neg_2,
softmax_v1_2::is_ignored_axis_relaxed_dim2_axis0_neg_2,
- softmax_v1_2::examples_axis_relaxed_dim2_axis0_neg_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim2_axis0_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim2_axis1_2) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim2_axis1_2,
softmax_v1_2::is_ignored_axis_relaxed_dim2_axis1_2,
- softmax_v1_2::examples_axis_relaxed_dim2_axis1_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim2_axis1_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim2_axis1_neg_2) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim2_axis1_neg_2,
softmax_v1_2::is_ignored_axis_relaxed_dim2_axis1_neg_2,
- softmax_v1_2::examples_axis_relaxed_dim2_axis1_neg_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim2_axis1_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim1_axis0_2) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim1_axis0_2,
softmax_v1_2::is_ignored_axis_relaxed_dim1_axis0_2,
- softmax_v1_2::examples_axis_relaxed_dim1_axis0_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim1_axis0_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_relaxed_dim1_axis0_neg_2) {
execute(softmax_v1_2::CreateModel_axis_relaxed_dim1_axis0_neg_2,
softmax_v1_2::is_ignored_axis_relaxed_dim1_axis0_neg_2,
- softmax_v1_2::examples_axis_relaxed_dim1_axis0_neg_2);
+ softmax_v1_2::get_examples_axis_relaxed_dim1_axis0_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim4_axis0_2) {
execute(softmax_v1_2::CreateModel_axis_float16_dim4_axis0_2,
softmax_v1_2::is_ignored_axis_float16_dim4_axis0_2,
- softmax_v1_2::examples_axis_float16_dim4_axis0_2);
+ softmax_v1_2::get_examples_axis_float16_dim4_axis0_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim4_axis0_neg_2) {
execute(softmax_v1_2::CreateModel_axis_float16_dim4_axis0_neg_2,
softmax_v1_2::is_ignored_axis_float16_dim4_axis0_neg_2,
- softmax_v1_2::examples_axis_float16_dim4_axis0_neg_2);
+ softmax_v1_2::get_examples_axis_float16_dim4_axis0_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim4_axis1_2) {
execute(softmax_v1_2::CreateModel_axis_float16_dim4_axis1_2,
softmax_v1_2::is_ignored_axis_float16_dim4_axis1_2,
- softmax_v1_2::examples_axis_float16_dim4_axis1_2);
+ softmax_v1_2::get_examples_axis_float16_dim4_axis1_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim4_axis1_neg_2) {
execute(softmax_v1_2::CreateModel_axis_float16_dim4_axis1_neg_2,
softmax_v1_2::is_ignored_axis_float16_dim4_axis1_neg_2,
- softmax_v1_2::examples_axis_float16_dim4_axis1_neg_2);
+ softmax_v1_2::get_examples_axis_float16_dim4_axis1_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim4_axis2_2) {
execute(softmax_v1_2::CreateModel_axis_float16_dim4_axis2_2,
softmax_v1_2::is_ignored_axis_float16_dim4_axis2_2,
- softmax_v1_2::examples_axis_float16_dim4_axis2_2);
+ softmax_v1_2::get_examples_axis_float16_dim4_axis2_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim4_axis2_neg_2) {
execute(softmax_v1_2::CreateModel_axis_float16_dim4_axis2_neg_2,
softmax_v1_2::is_ignored_axis_float16_dim4_axis2_neg_2,
- softmax_v1_2::examples_axis_float16_dim4_axis2_neg_2);
+ softmax_v1_2::get_examples_axis_float16_dim4_axis2_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim4_axis3_2) {
execute(softmax_v1_2::CreateModel_axis_float16_dim4_axis3_2,
softmax_v1_2::is_ignored_axis_float16_dim4_axis3_2,
- softmax_v1_2::examples_axis_float16_dim4_axis3_2);
+ softmax_v1_2::get_examples_axis_float16_dim4_axis3_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim4_axis3_neg_2) {
execute(softmax_v1_2::CreateModel_axis_float16_dim4_axis3_neg_2,
softmax_v1_2::is_ignored_axis_float16_dim4_axis3_neg_2,
- softmax_v1_2::examples_axis_float16_dim4_axis3_neg_2);
+ softmax_v1_2::get_examples_axis_float16_dim4_axis3_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim3_axis0_2) {
execute(softmax_v1_2::CreateModel_axis_float16_dim3_axis0_2,
softmax_v1_2::is_ignored_axis_float16_dim3_axis0_2,
- softmax_v1_2::examples_axis_float16_dim3_axis0_2);
+ softmax_v1_2::get_examples_axis_float16_dim3_axis0_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim3_axis0_neg_2) {
execute(softmax_v1_2::CreateModel_axis_float16_dim3_axis0_neg_2,
softmax_v1_2::is_ignored_axis_float16_dim3_axis0_neg_2,
- softmax_v1_2::examples_axis_float16_dim3_axis0_neg_2);
+ softmax_v1_2::get_examples_axis_float16_dim3_axis0_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim3_axis1_2) {
execute(softmax_v1_2::CreateModel_axis_float16_dim3_axis1_2,
softmax_v1_2::is_ignored_axis_float16_dim3_axis1_2,
- softmax_v1_2::examples_axis_float16_dim3_axis1_2);
+ softmax_v1_2::get_examples_axis_float16_dim3_axis1_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim3_axis1_neg_2) {
execute(softmax_v1_2::CreateModel_axis_float16_dim3_axis1_neg_2,
softmax_v1_2::is_ignored_axis_float16_dim3_axis1_neg_2,
- softmax_v1_2::examples_axis_float16_dim3_axis1_neg_2);
+ softmax_v1_2::get_examples_axis_float16_dim3_axis1_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim3_axis2_2) {
execute(softmax_v1_2::CreateModel_axis_float16_dim3_axis2_2,
softmax_v1_2::is_ignored_axis_float16_dim3_axis2_2,
- softmax_v1_2::examples_axis_float16_dim3_axis2_2);
+ softmax_v1_2::get_examples_axis_float16_dim3_axis2_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim3_axis2_neg_2) {
execute(softmax_v1_2::CreateModel_axis_float16_dim3_axis2_neg_2,
softmax_v1_2::is_ignored_axis_float16_dim3_axis2_neg_2,
- softmax_v1_2::examples_axis_float16_dim3_axis2_neg_2);
+ softmax_v1_2::get_examples_axis_float16_dim3_axis2_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim2_axis0_2) {
execute(softmax_v1_2::CreateModel_axis_float16_dim2_axis0_2,
softmax_v1_2::is_ignored_axis_float16_dim2_axis0_2,
- softmax_v1_2::examples_axis_float16_dim2_axis0_2);
+ softmax_v1_2::get_examples_axis_float16_dim2_axis0_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim2_axis0_neg_2) {
execute(softmax_v1_2::CreateModel_axis_float16_dim2_axis0_neg_2,
softmax_v1_2::is_ignored_axis_float16_dim2_axis0_neg_2,
- softmax_v1_2::examples_axis_float16_dim2_axis0_neg_2);
+ softmax_v1_2::get_examples_axis_float16_dim2_axis0_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim2_axis1_2) {
execute(softmax_v1_2::CreateModel_axis_float16_dim2_axis1_2,
softmax_v1_2::is_ignored_axis_float16_dim2_axis1_2,
- softmax_v1_2::examples_axis_float16_dim2_axis1_2);
+ softmax_v1_2::get_examples_axis_float16_dim2_axis1_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim2_axis1_neg_2) {
execute(softmax_v1_2::CreateModel_axis_float16_dim2_axis1_neg_2,
softmax_v1_2::is_ignored_axis_float16_dim2_axis1_neg_2,
- softmax_v1_2::examples_axis_float16_dim2_axis1_neg_2);
+ softmax_v1_2::get_examples_axis_float16_dim2_axis1_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim1_axis0_2) {
execute(softmax_v1_2::CreateModel_axis_float16_dim1_axis0_2,
softmax_v1_2::is_ignored_axis_float16_dim1_axis0_2,
- softmax_v1_2::examples_axis_float16_dim1_axis0_2);
+ softmax_v1_2::get_examples_axis_float16_dim1_axis0_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_float16_dim1_axis0_neg_2) {
execute(softmax_v1_2::CreateModel_axis_float16_dim1_axis0_neg_2,
softmax_v1_2::is_ignored_axis_float16_dim1_axis0_neg_2,
- softmax_v1_2::examples_axis_float16_dim1_axis0_neg_2);
+ softmax_v1_2::get_examples_axis_float16_dim1_axis0_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim4_axis0_2) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim4_axis0_2,
softmax_v1_2::is_ignored_axis_quant8_dim4_axis0_2,
- softmax_v1_2::examples_axis_quant8_dim4_axis0_2);
+ softmax_v1_2::get_examples_axis_quant8_dim4_axis0_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim4_axis0_neg_2) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim4_axis0_neg_2,
softmax_v1_2::is_ignored_axis_quant8_dim4_axis0_neg_2,
- softmax_v1_2::examples_axis_quant8_dim4_axis0_neg_2);
+ softmax_v1_2::get_examples_axis_quant8_dim4_axis0_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim4_axis1_2) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim4_axis1_2,
softmax_v1_2::is_ignored_axis_quant8_dim4_axis1_2,
- softmax_v1_2::examples_axis_quant8_dim4_axis1_2);
+ softmax_v1_2::get_examples_axis_quant8_dim4_axis1_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim4_axis1_neg_2) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim4_axis1_neg_2,
softmax_v1_2::is_ignored_axis_quant8_dim4_axis1_neg_2,
- softmax_v1_2::examples_axis_quant8_dim4_axis1_neg_2);
+ softmax_v1_2::get_examples_axis_quant8_dim4_axis1_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim4_axis2_2) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim4_axis2_2,
softmax_v1_2::is_ignored_axis_quant8_dim4_axis2_2,
- softmax_v1_2::examples_axis_quant8_dim4_axis2_2);
+ softmax_v1_2::get_examples_axis_quant8_dim4_axis2_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim4_axis2_neg_2) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim4_axis2_neg_2,
softmax_v1_2::is_ignored_axis_quant8_dim4_axis2_neg_2,
- softmax_v1_2::examples_axis_quant8_dim4_axis2_neg_2);
+ softmax_v1_2::get_examples_axis_quant8_dim4_axis2_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim4_axis3_2) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim4_axis3_2,
softmax_v1_2::is_ignored_axis_quant8_dim4_axis3_2,
- softmax_v1_2::examples_axis_quant8_dim4_axis3_2);
+ softmax_v1_2::get_examples_axis_quant8_dim4_axis3_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim4_axis3_neg_2) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim4_axis3_neg_2,
softmax_v1_2::is_ignored_axis_quant8_dim4_axis3_neg_2,
- softmax_v1_2::examples_axis_quant8_dim4_axis3_neg_2);
+ softmax_v1_2::get_examples_axis_quant8_dim4_axis3_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim3_axis0_2) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim3_axis0_2,
softmax_v1_2::is_ignored_axis_quant8_dim3_axis0_2,
- softmax_v1_2::examples_axis_quant8_dim3_axis0_2);
+ softmax_v1_2::get_examples_axis_quant8_dim3_axis0_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim3_axis0_neg_2) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim3_axis0_neg_2,
softmax_v1_2::is_ignored_axis_quant8_dim3_axis0_neg_2,
- softmax_v1_2::examples_axis_quant8_dim3_axis0_neg_2);
+ softmax_v1_2::get_examples_axis_quant8_dim3_axis0_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim3_axis1_2) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim3_axis1_2,
softmax_v1_2::is_ignored_axis_quant8_dim3_axis1_2,
- softmax_v1_2::examples_axis_quant8_dim3_axis1_2);
+ softmax_v1_2::get_examples_axis_quant8_dim3_axis1_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim3_axis1_neg_2) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim3_axis1_neg_2,
softmax_v1_2::is_ignored_axis_quant8_dim3_axis1_neg_2,
- softmax_v1_2::examples_axis_quant8_dim3_axis1_neg_2);
+ softmax_v1_2::get_examples_axis_quant8_dim3_axis1_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim3_axis2_2) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim3_axis2_2,
softmax_v1_2::is_ignored_axis_quant8_dim3_axis2_2,
- softmax_v1_2::examples_axis_quant8_dim3_axis2_2);
+ softmax_v1_2::get_examples_axis_quant8_dim3_axis2_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim3_axis2_neg_2) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim3_axis2_neg_2,
softmax_v1_2::is_ignored_axis_quant8_dim3_axis2_neg_2,
- softmax_v1_2::examples_axis_quant8_dim3_axis2_neg_2);
+ softmax_v1_2::get_examples_axis_quant8_dim3_axis2_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim2_axis0_2) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim2_axis0_2,
softmax_v1_2::is_ignored_axis_quant8_dim2_axis0_2,
- softmax_v1_2::examples_axis_quant8_dim2_axis0_2);
+ softmax_v1_2::get_examples_axis_quant8_dim2_axis0_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim2_axis0_neg_2) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim2_axis0_neg_2,
softmax_v1_2::is_ignored_axis_quant8_dim2_axis0_neg_2,
- softmax_v1_2::examples_axis_quant8_dim2_axis0_neg_2);
+ softmax_v1_2::get_examples_axis_quant8_dim2_axis0_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim2_axis1_2) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim2_axis1_2,
softmax_v1_2::is_ignored_axis_quant8_dim2_axis1_2,
- softmax_v1_2::examples_axis_quant8_dim2_axis1_2);
+ softmax_v1_2::get_examples_axis_quant8_dim2_axis1_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim2_axis1_neg_2) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim2_axis1_neg_2,
softmax_v1_2::is_ignored_axis_quant8_dim2_axis1_neg_2,
- softmax_v1_2::examples_axis_quant8_dim2_axis1_neg_2);
+ softmax_v1_2::get_examples_axis_quant8_dim2_axis1_neg_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim1_axis0_2) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim1_axis0_2,
softmax_v1_2::is_ignored_axis_quant8_dim1_axis0_2,
- softmax_v1_2::examples_axis_quant8_dim1_axis0_2);
+ softmax_v1_2::get_examples_axis_quant8_dim1_axis0_2());
}
TEST_F(GeneratedTests, softmax_v1_2_axis_quant8_dim1_axis0_neg_2) {
execute(softmax_v1_2::CreateModel_axis_quant8_dim1_axis0_neg_2,
softmax_v1_2::is_ignored_axis_quant8_dim1_axis0_neg_2,
- softmax_v1_2::examples_axis_quant8_dim1_axis0_neg_2);
+ softmax_v1_2::get_examples_axis_quant8_dim1_axis0_neg_2());
}
diff --git a/nn/runtime/test/generated/tests/space_to_batch.mod.py.cpp b/nn/runtime/test/generated/tests/space_to_batch.mod.py.cpp
index ac614de..1243f28 100644
--- a/nn/runtime/test/generated/tests/space_to_batch.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/space_to_batch.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, space_to_batch) {
execute(space_to_batch::CreateModel,
space_to_batch::is_ignored,
- space_to_batch::examples);
+ space_to_batch::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/space_to_batch_float_1.mod.py.cpp b/nn/runtime/test/generated/tests/space_to_batch_float_1.mod.py.cpp
index fca2adb..2b2c9ef 100644
--- a/nn/runtime/test/generated/tests/space_to_batch_float_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/space_to_batch_float_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, space_to_batch_float_1) {
execute(space_to_batch_float_1::CreateModel,
space_to_batch_float_1::is_ignored,
- space_to_batch_float_1::examples);
+ space_to_batch_float_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/space_to_batch_float_1_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/space_to_batch_float_1_relaxed.mod.py.cpp
index 402eec3..ddd6504 100644
--- a/nn/runtime/test/generated/tests/space_to_batch_float_1_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/space_to_batch_float_1_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, space_to_batch_float_1_relaxed) {
execute(space_to_batch_float_1_relaxed::CreateModel,
space_to_batch_float_1_relaxed::is_ignored,
- space_to_batch_float_1_relaxed::examples);
+ space_to_batch_float_1_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/space_to_batch_float_2.mod.py.cpp b/nn/runtime/test/generated/tests/space_to_batch_float_2.mod.py.cpp
index a8800fa..ec9419c 100644
--- a/nn/runtime/test/generated/tests/space_to_batch_float_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/space_to_batch_float_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, space_to_batch_float_2) {
execute(space_to_batch_float_2::CreateModel,
space_to_batch_float_2::is_ignored,
- space_to_batch_float_2::examples);
+ space_to_batch_float_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/space_to_batch_float_2_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/space_to_batch_float_2_relaxed.mod.py.cpp
index 4ce1f59..75f23e9 100644
--- a/nn/runtime/test/generated/tests/space_to_batch_float_2_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/space_to_batch_float_2_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, space_to_batch_float_2_relaxed) {
execute(space_to_batch_float_2_relaxed::CreateModel,
space_to_batch_float_2_relaxed::is_ignored,
- space_to_batch_float_2_relaxed::examples);
+ space_to_batch_float_2_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/space_to_batch_float_3.mod.py.cpp b/nn/runtime/test/generated/tests/space_to_batch_float_3.mod.py.cpp
index 253567b..3cfdaf4 100644
--- a/nn/runtime/test/generated/tests/space_to_batch_float_3.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/space_to_batch_float_3.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, space_to_batch_float_3) {
execute(space_to_batch_float_3::CreateModel,
space_to_batch_float_3::is_ignored,
- space_to_batch_float_3::examples);
+ space_to_batch_float_3::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/space_to_batch_float_3_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/space_to_batch_float_3_relaxed.mod.py.cpp
index 9a62313..571fed6 100644
--- a/nn/runtime/test/generated/tests/space_to_batch_float_3_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/space_to_batch_float_3_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, space_to_batch_float_3_relaxed) {
execute(space_to_batch_float_3_relaxed::CreateModel,
space_to_batch_float_3_relaxed::is_ignored,
- space_to_batch_float_3_relaxed::examples);
+ space_to_batch_float_3_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/space_to_batch_quant8_1.mod.py.cpp b/nn/runtime/test/generated/tests/space_to_batch_quant8_1.mod.py.cpp
index bb3ec87..95081d7 100644
--- a/nn/runtime/test/generated/tests/space_to_batch_quant8_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/space_to_batch_quant8_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, space_to_batch_quant8_1) {
execute(space_to_batch_quant8_1::CreateModel,
space_to_batch_quant8_1::is_ignored,
- space_to_batch_quant8_1::examples);
+ space_to_batch_quant8_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/space_to_batch_quant8_2.mod.py.cpp b/nn/runtime/test/generated/tests/space_to_batch_quant8_2.mod.py.cpp
index cfbc1b6..91501de 100644
--- a/nn/runtime/test/generated/tests/space_to_batch_quant8_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/space_to_batch_quant8_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, space_to_batch_quant8_2) {
execute(space_to_batch_quant8_2::CreateModel,
space_to_batch_quant8_2::is_ignored,
- space_to_batch_quant8_2::examples);
+ space_to_batch_quant8_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/space_to_batch_quant8_3.mod.py.cpp b/nn/runtime/test/generated/tests/space_to_batch_quant8_3.mod.py.cpp
index 576bb8f..332282a 100644
--- a/nn/runtime/test/generated/tests/space_to_batch_quant8_3.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/space_to_batch_quant8_3.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, space_to_batch_quant8_3) {
execute(space_to_batch_quant8_3::CreateModel,
space_to_batch_quant8_3::is_ignored,
- space_to_batch_quant8_3::examples);
+ space_to_batch_quant8_3::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/space_to_batch_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/space_to_batch_relaxed.mod.py.cpp
index f87697c..4f8bea2 100644
--- a/nn/runtime/test/generated/tests/space_to_batch_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/space_to_batch_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, space_to_batch_relaxed) {
execute(space_to_batch_relaxed::CreateModel,
space_to_batch_relaxed::is_ignored,
- space_to_batch_relaxed::examples);
+ space_to_batch_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/space_to_batch_v1_2.mod.py.cpp b/nn/runtime/test/generated/tests/space_to_batch_v1_2.mod.py.cpp
index d59a3b9..0c58633 100644
--- a/nn/runtime/test/generated/tests/space_to_batch_v1_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/space_to_batch_v1_2.mod.py.cpp
@@ -12,144 +12,192 @@
TEST_F(GeneratedTests, space_to_batch_v1_2_nhwc) {
execute(space_to_batch_v1_2::CreateModel_nhwc,
space_to_batch_v1_2::is_ignored_nhwc,
- space_to_batch_v1_2::examples_nhwc);
+ space_to_batch_v1_2::get_examples_nhwc());
}
TEST_F(GeneratedTests, space_to_batch_v1_2_nhwc_relaxed) {
execute(space_to_batch_v1_2::CreateModel_nhwc_relaxed,
space_to_batch_v1_2::is_ignored_nhwc_relaxed,
- space_to_batch_v1_2::examples_nhwc_relaxed);
+ space_to_batch_v1_2::get_examples_nhwc_relaxed());
+}
+
+TEST_F(GeneratedTests, space_to_batch_v1_2_nhwc_float16) {
+ execute(space_to_batch_v1_2::CreateModel_nhwc_float16,
+ space_to_batch_v1_2::is_ignored_nhwc_float16,
+ space_to_batch_v1_2::get_examples_nhwc_float16());
}
TEST_F(GeneratedTests, space_to_batch_v1_2_nhwc_quant8) {
execute(space_to_batch_v1_2::CreateModel_nhwc_quant8,
space_to_batch_v1_2::is_ignored_nhwc_quant8,
- space_to_batch_v1_2::examples_nhwc_quant8);
+ space_to_batch_v1_2::get_examples_nhwc_quant8());
}
TEST_F(GeneratedTests, space_to_batch_v1_2_nchw) {
execute(space_to_batch_v1_2::CreateModel_nchw,
space_to_batch_v1_2::is_ignored_nchw,
- space_to_batch_v1_2::examples_nchw);
+ space_to_batch_v1_2::get_examples_nchw());
}
TEST_F(GeneratedTests, space_to_batch_v1_2_nchw_relaxed) {
execute(space_to_batch_v1_2::CreateModel_nchw_relaxed,
space_to_batch_v1_2::is_ignored_nchw_relaxed,
- space_to_batch_v1_2::examples_nchw_relaxed);
+ space_to_batch_v1_2::get_examples_nchw_relaxed());
+}
+
+TEST_F(GeneratedTests, space_to_batch_v1_2_nchw_float16) {
+ execute(space_to_batch_v1_2::CreateModel_nchw_float16,
+ space_to_batch_v1_2::is_ignored_nchw_float16,
+ space_to_batch_v1_2::get_examples_nchw_float16());
}
TEST_F(GeneratedTests, space_to_batch_v1_2_nchw_quant8) {
execute(space_to_batch_v1_2::CreateModel_nchw_quant8,
space_to_batch_v1_2::is_ignored_nchw_quant8,
- space_to_batch_v1_2::examples_nchw_quant8);
+ space_to_batch_v1_2::get_examples_nchw_quant8());
}
TEST_F(GeneratedTests, space_to_batch_v1_2_nhwc_2) {
execute(space_to_batch_v1_2::CreateModel_nhwc_2,
space_to_batch_v1_2::is_ignored_nhwc_2,
- space_to_batch_v1_2::examples_nhwc_2);
+ space_to_batch_v1_2::get_examples_nhwc_2());
}
TEST_F(GeneratedTests, space_to_batch_v1_2_nhwc_relaxed_2) {
execute(space_to_batch_v1_2::CreateModel_nhwc_relaxed_2,
space_to_batch_v1_2::is_ignored_nhwc_relaxed_2,
- space_to_batch_v1_2::examples_nhwc_relaxed_2);
+ space_to_batch_v1_2::get_examples_nhwc_relaxed_2());
+}
+
+TEST_F(GeneratedTests, space_to_batch_v1_2_nhwc_float16_2) {
+ execute(space_to_batch_v1_2::CreateModel_nhwc_float16_2,
+ space_to_batch_v1_2::is_ignored_nhwc_float16_2,
+ space_to_batch_v1_2::get_examples_nhwc_float16_2());
}
TEST_F(GeneratedTests, space_to_batch_v1_2_nhwc_quant8_2) {
execute(space_to_batch_v1_2::CreateModel_nhwc_quant8_2,
space_to_batch_v1_2::is_ignored_nhwc_quant8_2,
- space_to_batch_v1_2::examples_nhwc_quant8_2);
+ space_to_batch_v1_2::get_examples_nhwc_quant8_2());
}
TEST_F(GeneratedTests, space_to_batch_v1_2_nchw_2) {
execute(space_to_batch_v1_2::CreateModel_nchw_2,
space_to_batch_v1_2::is_ignored_nchw_2,
- space_to_batch_v1_2::examples_nchw_2);
+ space_to_batch_v1_2::get_examples_nchw_2());
}
TEST_F(GeneratedTests, space_to_batch_v1_2_nchw_relaxed_2) {
execute(space_to_batch_v1_2::CreateModel_nchw_relaxed_2,
space_to_batch_v1_2::is_ignored_nchw_relaxed_2,
- space_to_batch_v1_2::examples_nchw_relaxed_2);
+ space_to_batch_v1_2::get_examples_nchw_relaxed_2());
+}
+
+TEST_F(GeneratedTests, space_to_batch_v1_2_nchw_float16_2) {
+ execute(space_to_batch_v1_2::CreateModel_nchw_float16_2,
+ space_to_batch_v1_2::is_ignored_nchw_float16_2,
+ space_to_batch_v1_2::get_examples_nchw_float16_2());
}
TEST_F(GeneratedTests, space_to_batch_v1_2_nchw_quant8_2) {
execute(space_to_batch_v1_2::CreateModel_nchw_quant8_2,
space_to_batch_v1_2::is_ignored_nchw_quant8_2,
- space_to_batch_v1_2::examples_nchw_quant8_2);
+ space_to_batch_v1_2::get_examples_nchw_quant8_2());
}
TEST_F(GeneratedTests, space_to_batch_v1_2_nhwc_3) {
execute(space_to_batch_v1_2::CreateModel_nhwc_3,
space_to_batch_v1_2::is_ignored_nhwc_3,
- space_to_batch_v1_2::examples_nhwc_3);
+ space_to_batch_v1_2::get_examples_nhwc_3());
}
TEST_F(GeneratedTests, space_to_batch_v1_2_nhwc_relaxed_3) {
execute(space_to_batch_v1_2::CreateModel_nhwc_relaxed_3,
space_to_batch_v1_2::is_ignored_nhwc_relaxed_3,
- space_to_batch_v1_2::examples_nhwc_relaxed_3);
+ space_to_batch_v1_2::get_examples_nhwc_relaxed_3());
+}
+
+TEST_F(GeneratedTests, space_to_batch_v1_2_nhwc_float16_3) {
+ execute(space_to_batch_v1_2::CreateModel_nhwc_float16_3,
+ space_to_batch_v1_2::is_ignored_nhwc_float16_3,
+ space_to_batch_v1_2::get_examples_nhwc_float16_3());
}
TEST_F(GeneratedTests, space_to_batch_v1_2_nhwc_quant8_3) {
execute(space_to_batch_v1_2::CreateModel_nhwc_quant8_3,
space_to_batch_v1_2::is_ignored_nhwc_quant8_3,
- space_to_batch_v1_2::examples_nhwc_quant8_3);
+ space_to_batch_v1_2::get_examples_nhwc_quant8_3());
}
TEST_F(GeneratedTests, space_to_batch_v1_2_nchw_3) {
execute(space_to_batch_v1_2::CreateModel_nchw_3,
space_to_batch_v1_2::is_ignored_nchw_3,
- space_to_batch_v1_2::examples_nchw_3);
+ space_to_batch_v1_2::get_examples_nchw_3());
}
TEST_F(GeneratedTests, space_to_batch_v1_2_nchw_relaxed_3) {
execute(space_to_batch_v1_2::CreateModel_nchw_relaxed_3,
space_to_batch_v1_2::is_ignored_nchw_relaxed_3,
- space_to_batch_v1_2::examples_nchw_relaxed_3);
+ space_to_batch_v1_2::get_examples_nchw_relaxed_3());
+}
+
+TEST_F(GeneratedTests, space_to_batch_v1_2_nchw_float16_3) {
+ execute(space_to_batch_v1_2::CreateModel_nchw_float16_3,
+ space_to_batch_v1_2::is_ignored_nchw_float16_3,
+ space_to_batch_v1_2::get_examples_nchw_float16_3());
}
TEST_F(GeneratedTests, space_to_batch_v1_2_nchw_quant8_3) {
execute(space_to_batch_v1_2::CreateModel_nchw_quant8_3,
space_to_batch_v1_2::is_ignored_nchw_quant8_3,
- space_to_batch_v1_2::examples_nchw_quant8_3);
+ space_to_batch_v1_2::get_examples_nchw_quant8_3());
}
TEST_F(GeneratedTests, space_to_batch_v1_2_nhwc_4) {
execute(space_to_batch_v1_2::CreateModel_nhwc_4,
space_to_batch_v1_2::is_ignored_nhwc_4,
- space_to_batch_v1_2::examples_nhwc_4);
+ space_to_batch_v1_2::get_examples_nhwc_4());
}
TEST_F(GeneratedTests, space_to_batch_v1_2_nhwc_relaxed_4) {
execute(space_to_batch_v1_2::CreateModel_nhwc_relaxed_4,
space_to_batch_v1_2::is_ignored_nhwc_relaxed_4,
- space_to_batch_v1_2::examples_nhwc_relaxed_4);
+ space_to_batch_v1_2::get_examples_nhwc_relaxed_4());
+}
+
+TEST_F(GeneratedTests, space_to_batch_v1_2_nhwc_float16_4) {
+ execute(space_to_batch_v1_2::CreateModel_nhwc_float16_4,
+ space_to_batch_v1_2::is_ignored_nhwc_float16_4,
+ space_to_batch_v1_2::get_examples_nhwc_float16_4());
}
TEST_F(GeneratedTests, space_to_batch_v1_2_nhwc_quant8_4) {
execute(space_to_batch_v1_2::CreateModel_nhwc_quant8_4,
space_to_batch_v1_2::is_ignored_nhwc_quant8_4,
- space_to_batch_v1_2::examples_nhwc_quant8_4);
+ space_to_batch_v1_2::get_examples_nhwc_quant8_4());
}
TEST_F(GeneratedTests, space_to_batch_v1_2_nchw_4) {
execute(space_to_batch_v1_2::CreateModel_nchw_4,
space_to_batch_v1_2::is_ignored_nchw_4,
- space_to_batch_v1_2::examples_nchw_4);
+ space_to_batch_v1_2::get_examples_nchw_4());
}
TEST_F(GeneratedTests, space_to_batch_v1_2_nchw_relaxed_4) {
execute(space_to_batch_v1_2::CreateModel_nchw_relaxed_4,
space_to_batch_v1_2::is_ignored_nchw_relaxed_4,
- space_to_batch_v1_2::examples_nchw_relaxed_4);
+ space_to_batch_v1_2::get_examples_nchw_relaxed_4());
+}
+
+TEST_F(GeneratedTests, space_to_batch_v1_2_nchw_float16_4) {
+ execute(space_to_batch_v1_2::CreateModel_nchw_float16_4,
+ space_to_batch_v1_2::is_ignored_nchw_float16_4,
+ space_to_batch_v1_2::get_examples_nchw_float16_4());
}
TEST_F(GeneratedTests, space_to_batch_v1_2_nchw_quant8_4) {
execute(space_to_batch_v1_2::CreateModel_nchw_quant8_4,
space_to_batch_v1_2::is_ignored_nchw_quant8_4,
- space_to_batch_v1_2::examples_nchw_quant8_4);
+ space_to_batch_v1_2::get_examples_nchw_quant8_4());
}
diff --git a/nn/runtime/test/generated/tests/space_to_depth_float_1.mod.py.cpp b/nn/runtime/test/generated/tests/space_to_depth_float_1.mod.py.cpp
index 43d3828..33c5ccb 100644
--- a/nn/runtime/test/generated/tests/space_to_depth_float_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/space_to_depth_float_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, space_to_depth_float_1) {
execute(space_to_depth_float_1::CreateModel,
space_to_depth_float_1::is_ignored,
- space_to_depth_float_1::examples);
+ space_to_depth_float_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/space_to_depth_float_1_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/space_to_depth_float_1_relaxed.mod.py.cpp
index 6270960..f166cfb 100644
--- a/nn/runtime/test/generated/tests/space_to_depth_float_1_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/space_to_depth_float_1_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, space_to_depth_float_1_relaxed) {
execute(space_to_depth_float_1_relaxed::CreateModel,
space_to_depth_float_1_relaxed::is_ignored,
- space_to_depth_float_1_relaxed::examples);
+ space_to_depth_float_1_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/space_to_depth_float_2.mod.py.cpp b/nn/runtime/test/generated/tests/space_to_depth_float_2.mod.py.cpp
index 8b260ac..6d1ab9c 100644
--- a/nn/runtime/test/generated/tests/space_to_depth_float_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/space_to_depth_float_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, space_to_depth_float_2) {
execute(space_to_depth_float_2::CreateModel,
space_to_depth_float_2::is_ignored,
- space_to_depth_float_2::examples);
+ space_to_depth_float_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/space_to_depth_float_2_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/space_to_depth_float_2_relaxed.mod.py.cpp
index 7a3a25c..cf21d1f 100644
--- a/nn/runtime/test/generated/tests/space_to_depth_float_2_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/space_to_depth_float_2_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, space_to_depth_float_2_relaxed) {
execute(space_to_depth_float_2_relaxed::CreateModel,
space_to_depth_float_2_relaxed::is_ignored,
- space_to_depth_float_2_relaxed::examples);
+ space_to_depth_float_2_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/space_to_depth_float_3.mod.py.cpp b/nn/runtime/test/generated/tests/space_to_depth_float_3.mod.py.cpp
index d024b4a..c7ba1e4 100644
--- a/nn/runtime/test/generated/tests/space_to_depth_float_3.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/space_to_depth_float_3.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, space_to_depth_float_3) {
execute(space_to_depth_float_3::CreateModel,
space_to_depth_float_3::is_ignored,
- space_to_depth_float_3::examples);
+ space_to_depth_float_3::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/space_to_depth_float_3_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/space_to_depth_float_3_relaxed.mod.py.cpp
index cb6aaae..b2a620f 100644
--- a/nn/runtime/test/generated/tests/space_to_depth_float_3_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/space_to_depth_float_3_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, space_to_depth_float_3_relaxed) {
execute(space_to_depth_float_3_relaxed::CreateModel,
space_to_depth_float_3_relaxed::is_ignored,
- space_to_depth_float_3_relaxed::examples);
+ space_to_depth_float_3_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/space_to_depth_quant8_1.mod.py.cpp b/nn/runtime/test/generated/tests/space_to_depth_quant8_1.mod.py.cpp
index 9591229..e28c952 100644
--- a/nn/runtime/test/generated/tests/space_to_depth_quant8_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/space_to_depth_quant8_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, space_to_depth_quant8_1) {
execute(space_to_depth_quant8_1::CreateModel,
space_to_depth_quant8_1::is_ignored,
- space_to_depth_quant8_1::examples);
+ space_to_depth_quant8_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/space_to_depth_quant8_2.mod.py.cpp b/nn/runtime/test/generated/tests/space_to_depth_quant8_2.mod.py.cpp
index 3497e00..fcbd81e 100644
--- a/nn/runtime/test/generated/tests/space_to_depth_quant8_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/space_to_depth_quant8_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, space_to_depth_quant8_2) {
execute(space_to_depth_quant8_2::CreateModel,
space_to_depth_quant8_2::is_ignored,
- space_to_depth_quant8_2::examples);
+ space_to_depth_quant8_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/space_to_depth_v1_2.mod.py.cpp b/nn/runtime/test/generated/tests/space_to_depth_v1_2.mod.py.cpp
index 4233a41..db9236d 100644
--- a/nn/runtime/test/generated/tests/space_to_depth_v1_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/space_to_depth_v1_2.mod.py.cpp
@@ -12,108 +12,144 @@
TEST_F(GeneratedTests, space_to_depth_v1_2_nhwc) {
execute(space_to_depth_v1_2::CreateModel_nhwc,
space_to_depth_v1_2::is_ignored_nhwc,
- space_to_depth_v1_2::examples_nhwc);
+ space_to_depth_v1_2::get_examples_nhwc());
}
TEST_F(GeneratedTests, space_to_depth_v1_2_nhwc_relaxed) {
execute(space_to_depth_v1_2::CreateModel_nhwc_relaxed,
space_to_depth_v1_2::is_ignored_nhwc_relaxed,
- space_to_depth_v1_2::examples_nhwc_relaxed);
+ space_to_depth_v1_2::get_examples_nhwc_relaxed());
+}
+
+TEST_F(GeneratedTests, space_to_depth_v1_2_nhwc_float16) {
+ execute(space_to_depth_v1_2::CreateModel_nhwc_float16,
+ space_to_depth_v1_2::is_ignored_nhwc_float16,
+ space_to_depth_v1_2::get_examples_nhwc_float16());
}
TEST_F(GeneratedTests, space_to_depth_v1_2_nhwc_quant8) {
execute(space_to_depth_v1_2::CreateModel_nhwc_quant8,
space_to_depth_v1_2::is_ignored_nhwc_quant8,
- space_to_depth_v1_2::examples_nhwc_quant8);
+ space_to_depth_v1_2::get_examples_nhwc_quant8());
}
TEST_F(GeneratedTests, space_to_depth_v1_2_nchw) {
execute(space_to_depth_v1_2::CreateModel_nchw,
space_to_depth_v1_2::is_ignored_nchw,
- space_to_depth_v1_2::examples_nchw);
+ space_to_depth_v1_2::get_examples_nchw());
}
TEST_F(GeneratedTests, space_to_depth_v1_2_nchw_relaxed) {
execute(space_to_depth_v1_2::CreateModel_nchw_relaxed,
space_to_depth_v1_2::is_ignored_nchw_relaxed,
- space_to_depth_v1_2::examples_nchw_relaxed);
+ space_to_depth_v1_2::get_examples_nchw_relaxed());
+}
+
+TEST_F(GeneratedTests, space_to_depth_v1_2_nchw_float16) {
+ execute(space_to_depth_v1_2::CreateModel_nchw_float16,
+ space_to_depth_v1_2::is_ignored_nchw_float16,
+ space_to_depth_v1_2::get_examples_nchw_float16());
}
TEST_F(GeneratedTests, space_to_depth_v1_2_nchw_quant8) {
execute(space_to_depth_v1_2::CreateModel_nchw_quant8,
space_to_depth_v1_2::is_ignored_nchw_quant8,
- space_to_depth_v1_2::examples_nchw_quant8);
+ space_to_depth_v1_2::get_examples_nchw_quant8());
}
TEST_F(GeneratedTests, space_to_depth_v1_2_nhwc_2) {
execute(space_to_depth_v1_2::CreateModel_nhwc_2,
space_to_depth_v1_2::is_ignored_nhwc_2,
- space_to_depth_v1_2::examples_nhwc_2);
+ space_to_depth_v1_2::get_examples_nhwc_2());
}
TEST_F(GeneratedTests, space_to_depth_v1_2_nhwc_relaxed_2) {
execute(space_to_depth_v1_2::CreateModel_nhwc_relaxed_2,
space_to_depth_v1_2::is_ignored_nhwc_relaxed_2,
- space_to_depth_v1_2::examples_nhwc_relaxed_2);
+ space_to_depth_v1_2::get_examples_nhwc_relaxed_2());
+}
+
+TEST_F(GeneratedTests, space_to_depth_v1_2_nhwc_float16_2) {
+ execute(space_to_depth_v1_2::CreateModel_nhwc_float16_2,
+ space_to_depth_v1_2::is_ignored_nhwc_float16_2,
+ space_to_depth_v1_2::get_examples_nhwc_float16_2());
}
TEST_F(GeneratedTests, space_to_depth_v1_2_nhwc_quant8_2) {
execute(space_to_depth_v1_2::CreateModel_nhwc_quant8_2,
space_to_depth_v1_2::is_ignored_nhwc_quant8_2,
- space_to_depth_v1_2::examples_nhwc_quant8_2);
+ space_to_depth_v1_2::get_examples_nhwc_quant8_2());
}
TEST_F(GeneratedTests, space_to_depth_v1_2_nchw_2) {
execute(space_to_depth_v1_2::CreateModel_nchw_2,
space_to_depth_v1_2::is_ignored_nchw_2,
- space_to_depth_v1_2::examples_nchw_2);
+ space_to_depth_v1_2::get_examples_nchw_2());
}
TEST_F(GeneratedTests, space_to_depth_v1_2_nchw_relaxed_2) {
execute(space_to_depth_v1_2::CreateModel_nchw_relaxed_2,
space_to_depth_v1_2::is_ignored_nchw_relaxed_2,
- space_to_depth_v1_2::examples_nchw_relaxed_2);
+ space_to_depth_v1_2::get_examples_nchw_relaxed_2());
+}
+
+TEST_F(GeneratedTests, space_to_depth_v1_2_nchw_float16_2) {
+ execute(space_to_depth_v1_2::CreateModel_nchw_float16_2,
+ space_to_depth_v1_2::is_ignored_nchw_float16_2,
+ space_to_depth_v1_2::get_examples_nchw_float16_2());
}
TEST_F(GeneratedTests, space_to_depth_v1_2_nchw_quant8_2) {
execute(space_to_depth_v1_2::CreateModel_nchw_quant8_2,
space_to_depth_v1_2::is_ignored_nchw_quant8_2,
- space_to_depth_v1_2::examples_nchw_quant8_2);
+ space_to_depth_v1_2::get_examples_nchw_quant8_2());
}
TEST_F(GeneratedTests, space_to_depth_v1_2_nhwc_3) {
execute(space_to_depth_v1_2::CreateModel_nhwc_3,
space_to_depth_v1_2::is_ignored_nhwc_3,
- space_to_depth_v1_2::examples_nhwc_3);
+ space_to_depth_v1_2::get_examples_nhwc_3());
}
TEST_F(GeneratedTests, space_to_depth_v1_2_nhwc_relaxed_3) {
execute(space_to_depth_v1_2::CreateModel_nhwc_relaxed_3,
space_to_depth_v1_2::is_ignored_nhwc_relaxed_3,
- space_to_depth_v1_2::examples_nhwc_relaxed_3);
+ space_to_depth_v1_2::get_examples_nhwc_relaxed_3());
+}
+
+TEST_F(GeneratedTests, space_to_depth_v1_2_nhwc_float16_3) {
+ execute(space_to_depth_v1_2::CreateModel_nhwc_float16_3,
+ space_to_depth_v1_2::is_ignored_nhwc_float16_3,
+ space_to_depth_v1_2::get_examples_nhwc_float16_3());
}
TEST_F(GeneratedTests, space_to_depth_v1_2_nhwc_quant8_3) {
execute(space_to_depth_v1_2::CreateModel_nhwc_quant8_3,
space_to_depth_v1_2::is_ignored_nhwc_quant8_3,
- space_to_depth_v1_2::examples_nhwc_quant8_3);
+ space_to_depth_v1_2::get_examples_nhwc_quant8_3());
}
TEST_F(GeneratedTests, space_to_depth_v1_2_nchw_3) {
execute(space_to_depth_v1_2::CreateModel_nchw_3,
space_to_depth_v1_2::is_ignored_nchw_3,
- space_to_depth_v1_2::examples_nchw_3);
+ space_to_depth_v1_2::get_examples_nchw_3());
}
TEST_F(GeneratedTests, space_to_depth_v1_2_nchw_relaxed_3) {
execute(space_to_depth_v1_2::CreateModel_nchw_relaxed_3,
space_to_depth_v1_2::is_ignored_nchw_relaxed_3,
- space_to_depth_v1_2::examples_nchw_relaxed_3);
+ space_to_depth_v1_2::get_examples_nchw_relaxed_3());
+}
+
+TEST_F(GeneratedTests, space_to_depth_v1_2_nchw_float16_3) {
+ execute(space_to_depth_v1_2::CreateModel_nchw_float16_3,
+ space_to_depth_v1_2::is_ignored_nchw_float16_3,
+ space_to_depth_v1_2::get_examples_nchw_float16_3());
}
TEST_F(GeneratedTests, space_to_depth_v1_2_nchw_quant8_3) {
execute(space_to_depth_v1_2::CreateModel_nchw_quant8_3,
space_to_depth_v1_2::is_ignored_nchw_quant8_3,
- space_to_depth_v1_2::examples_nchw_quant8_3);
+ space_to_depth_v1_2::get_examples_nchw_quant8_3());
}
diff --git a/nn/runtime/test/generated/tests/split_float_1.mod.py.cpp b/nn/runtime/test/generated/tests/split_float_1.mod.py.cpp
index 8fc38ab..06432d1 100644
--- a/nn/runtime/test/generated/tests/split_float_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/split_float_1.mod.py.cpp
@@ -12,18 +12,18 @@
TEST_F(GeneratedTests, split_float_1) {
execute(split_float_1::CreateModel,
split_float_1::is_ignored,
- split_float_1::examples);
+ split_float_1::get_examples());
}
TEST_F(GeneratedTests, split_float_1_relaxed) {
execute(split_float_1::CreateModel_relaxed,
split_float_1::is_ignored_relaxed,
- split_float_1::examples_relaxed);
+ split_float_1::get_examples_relaxed());
}
TEST_F(GeneratedTests, split_float_1_float16) {
execute(split_float_1::CreateModel_float16,
split_float_1::is_ignored_float16,
- split_float_1::examples_float16);
+ split_float_1::get_examples_float16());
}
diff --git a/nn/runtime/test/generated/tests/split_float_2.mod.py.cpp b/nn/runtime/test/generated/tests/split_float_2.mod.py.cpp
index 0e08ff6..49ac143 100644
--- a/nn/runtime/test/generated/tests/split_float_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/split_float_2.mod.py.cpp
@@ -12,18 +12,18 @@
TEST_F(GeneratedTests, split_float_2) {
execute(split_float_2::CreateModel,
split_float_2::is_ignored,
- split_float_2::examples);
+ split_float_2::get_examples());
}
TEST_F(GeneratedTests, split_float_2_relaxed) {
execute(split_float_2::CreateModel_relaxed,
split_float_2::is_ignored_relaxed,
- split_float_2::examples_relaxed);
+ split_float_2::get_examples_relaxed());
}
TEST_F(GeneratedTests, split_float_2_float16) {
execute(split_float_2::CreateModel_float16,
split_float_2::is_ignored_float16,
- split_float_2::examples_float16);
+ split_float_2::get_examples_float16());
}
diff --git a/nn/runtime/test/generated/tests/split_float_3.mod.py.cpp b/nn/runtime/test/generated/tests/split_float_3.mod.py.cpp
index 29bbed2..f08f2d5 100644
--- a/nn/runtime/test/generated/tests/split_float_3.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/split_float_3.mod.py.cpp
@@ -12,18 +12,18 @@
TEST_F(GeneratedTests, split_float_3) {
execute(split_float_3::CreateModel,
split_float_3::is_ignored,
- split_float_3::examples);
+ split_float_3::get_examples());
}
TEST_F(GeneratedTests, split_float_3_relaxed) {
execute(split_float_3::CreateModel_relaxed,
split_float_3::is_ignored_relaxed,
- split_float_3::examples_relaxed);
+ split_float_3::get_examples_relaxed());
}
TEST_F(GeneratedTests, split_float_3_float16) {
execute(split_float_3::CreateModel_float16,
split_float_3::is_ignored_float16,
- split_float_3::examples_float16);
+ split_float_3::get_examples_float16());
}
diff --git a/nn/runtime/test/generated/tests/split_float_4.mod.py.cpp b/nn/runtime/test/generated/tests/split_float_4.mod.py.cpp
index ff56773..9ee2334 100644
--- a/nn/runtime/test/generated/tests/split_float_4.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/split_float_4.mod.py.cpp
@@ -12,18 +12,18 @@
TEST_F(GeneratedTests, split_float_4) {
execute(split_float_4::CreateModel,
split_float_4::is_ignored,
- split_float_4::examples);
+ split_float_4::get_examples());
}
TEST_F(GeneratedTests, split_float_4_relaxed) {
execute(split_float_4::CreateModel_relaxed,
split_float_4::is_ignored_relaxed,
- split_float_4::examples_relaxed);
+ split_float_4::get_examples_relaxed());
}
TEST_F(GeneratedTests, split_float_4_float16) {
execute(split_float_4::CreateModel_float16,
split_float_4::is_ignored_float16,
- split_float_4::examples_float16);
+ split_float_4::get_examples_float16());
}
diff --git a/nn/runtime/test/generated/tests/split_float_5.mod.py.cpp b/nn/runtime/test/generated/tests/split_float_5.mod.py.cpp
index bf37e1b..6514e84 100644
--- a/nn/runtime/test/generated/tests/split_float_5.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/split_float_5.mod.py.cpp
@@ -12,18 +12,18 @@
TEST_F(GeneratedTests, split_float_5) {
execute(split_float_5::CreateModel,
split_float_5::is_ignored,
- split_float_5::examples);
+ split_float_5::get_examples());
}
TEST_F(GeneratedTests, split_float_5_relaxed) {
execute(split_float_5::CreateModel_relaxed,
split_float_5::is_ignored_relaxed,
- split_float_5::examples_relaxed);
+ split_float_5::get_examples_relaxed());
}
TEST_F(GeneratedTests, split_float_5_float16) {
execute(split_float_5::CreateModel_float16,
split_float_5::is_ignored_float16,
- split_float_5::examples_float16);
+ split_float_5::get_examples_float16());
}
diff --git a/nn/runtime/test/generated/tests/split_int32_1.mod.py.cpp b/nn/runtime/test/generated/tests/split_int32_1.mod.py.cpp
index 034c446..2651bee 100644
--- a/nn/runtime/test/generated/tests/split_int32_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/split_int32_1.mod.py.cpp
@@ -12,12 +12,12 @@
TEST_F(GeneratedTests, split_int32_1) {
execute(split_int32_1::CreateModel,
split_int32_1::is_ignored,
- split_int32_1::examples);
+ split_int32_1::get_examples());
}
TEST_F(GeneratedTests, split_int32_1_relaxed) {
execute(split_int32_1::CreateModel_relaxed,
split_int32_1::is_ignored_relaxed,
- split_int32_1::examples_relaxed);
+ split_int32_1::get_examples_relaxed());
}
diff --git a/nn/runtime/test/generated/tests/split_int32_2.mod.py.cpp b/nn/runtime/test/generated/tests/split_int32_2.mod.py.cpp
index a103713..a3722f8 100644
--- a/nn/runtime/test/generated/tests/split_int32_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/split_int32_2.mod.py.cpp
@@ -12,12 +12,12 @@
TEST_F(GeneratedTests, split_int32_2) {
execute(split_int32_2::CreateModel,
split_int32_2::is_ignored,
- split_int32_2::examples);
+ split_int32_2::get_examples());
}
TEST_F(GeneratedTests, split_int32_2_relaxed) {
execute(split_int32_2::CreateModel_relaxed,
split_int32_2::is_ignored_relaxed,
- split_int32_2::examples_relaxed);
+ split_int32_2::get_examples_relaxed());
}
diff --git a/nn/runtime/test/generated/tests/split_int32_3.mod.py.cpp b/nn/runtime/test/generated/tests/split_int32_3.mod.py.cpp
index 7b01fc8..462b551 100644
--- a/nn/runtime/test/generated/tests/split_int32_3.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/split_int32_3.mod.py.cpp
@@ -12,12 +12,12 @@
TEST_F(GeneratedTests, split_int32_3) {
execute(split_int32_3::CreateModel,
split_int32_3::is_ignored,
- split_int32_3::examples);
+ split_int32_3::get_examples());
}
TEST_F(GeneratedTests, split_int32_3_relaxed) {
execute(split_int32_3::CreateModel_relaxed,
split_int32_3::is_ignored_relaxed,
- split_int32_3::examples_relaxed);
+ split_int32_3::get_examples_relaxed());
}
diff --git a/nn/runtime/test/generated/tests/split_int32_4.mod.py.cpp b/nn/runtime/test/generated/tests/split_int32_4.mod.py.cpp
index 7be4b97..20d6134 100644
--- a/nn/runtime/test/generated/tests/split_int32_4.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/split_int32_4.mod.py.cpp
@@ -12,12 +12,12 @@
TEST_F(GeneratedTests, split_int32_4) {
execute(split_int32_4::CreateModel,
split_int32_4::is_ignored,
- split_int32_4::examples);
+ split_int32_4::get_examples());
}
TEST_F(GeneratedTests, split_int32_4_relaxed) {
execute(split_int32_4::CreateModel_relaxed,
split_int32_4::is_ignored_relaxed,
- split_int32_4::examples_relaxed);
+ split_int32_4::get_examples_relaxed());
}
diff --git a/nn/runtime/test/generated/tests/split_quant8_1.mod.py.cpp b/nn/runtime/test/generated/tests/split_quant8_1.mod.py.cpp
index 1d98249..dd2118a 100644
--- a/nn/runtime/test/generated/tests/split_quant8_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/split_quant8_1.mod.py.cpp
@@ -12,12 +12,12 @@
TEST_F(GeneratedTests, split_quant8_1) {
execute(split_quant8_1::CreateModel,
split_quant8_1::is_ignored,
- split_quant8_1::examples);
+ split_quant8_1::get_examples());
}
TEST_F(GeneratedTests, split_quant8_1_relaxed) {
execute(split_quant8_1::CreateModel_relaxed,
split_quant8_1::is_ignored_relaxed,
- split_quant8_1::examples_relaxed);
+ split_quant8_1::get_examples_relaxed());
}
diff --git a/nn/runtime/test/generated/tests/split_quant8_2.mod.py.cpp b/nn/runtime/test/generated/tests/split_quant8_2.mod.py.cpp
index d5fac23..978ec53 100644
--- a/nn/runtime/test/generated/tests/split_quant8_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/split_quant8_2.mod.py.cpp
@@ -12,12 +12,12 @@
TEST_F(GeneratedTests, split_quant8_2) {
execute(split_quant8_2::CreateModel,
split_quant8_2::is_ignored,
- split_quant8_2::examples);
+ split_quant8_2::get_examples());
}
TEST_F(GeneratedTests, split_quant8_2_relaxed) {
execute(split_quant8_2::CreateModel_relaxed,
split_quant8_2::is_ignored_relaxed,
- split_quant8_2::examples_relaxed);
+ split_quant8_2::get_examples_relaxed());
}
diff --git a/nn/runtime/test/generated/tests/split_quant8_3.mod.py.cpp b/nn/runtime/test/generated/tests/split_quant8_3.mod.py.cpp
index bd7b1f3..3895763 100644
--- a/nn/runtime/test/generated/tests/split_quant8_3.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/split_quant8_3.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, split_quant8_3) {
execute(split_quant8_3::CreateModel,
split_quant8_3::is_ignored,
- split_quant8_3::examples);
+ split_quant8_3::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/split_quant8_4.mod.py.cpp b/nn/runtime/test/generated/tests/split_quant8_4.mod.py.cpp
index 66b3f0e..19e64e9 100644
--- a/nn/runtime/test/generated/tests/split_quant8_4.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/split_quant8_4.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, split_quant8_4) {
execute(split_quant8_4::CreateModel,
split_quant8_4::is_ignored,
- split_quant8_4::examples);
+ split_quant8_4::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/squeeze.mod.py.cpp b/nn/runtime/test/generated/tests/squeeze.mod.py.cpp
index 0ec9554..2dbe4d1 100644
--- a/nn/runtime/test/generated/tests/squeeze.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/squeeze.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, squeeze) {
execute(squeeze::CreateModel,
squeeze::is_ignored,
- squeeze::examples);
+ squeeze::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/squeeze_float16.mod.py.cpp b/nn/runtime/test/generated/tests/squeeze_float16.mod.py.cpp
new file mode 100644
index 0000000..2e544a9
--- /dev/null
+++ b/nn/runtime/test/generated/tests/squeeze_float16.mod.py.cpp
@@ -0,0 +1,17 @@
+// clang-format off
+// Generated file (from: squeeze_float16.mod.py). Do not edit
+#include "../../TestGenerated.h"
+
+namespace squeeze_float16 {
+// Generated squeeze_float16 test
+#include "generated/examples/squeeze_float16.example.cpp"
+// Generated model constructor
+#include "generated/models/squeeze_float16.model.cpp"
+} // namespace squeeze_float16
+
+TEST_F(GeneratedTests, squeeze_float16) {
+ execute(squeeze_float16::CreateModel,
+ squeeze_float16::is_ignored,
+ squeeze_float16::get_examples());
+}
+
diff --git a/nn/runtime/test/generated/tests/squeeze_float_1.mod.py.cpp b/nn/runtime/test/generated/tests/squeeze_float_1.mod.py.cpp
index dc77961..db84ff6 100644
--- a/nn/runtime/test/generated/tests/squeeze_float_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/squeeze_float_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, squeeze_float_1) {
execute(squeeze_float_1::CreateModel,
squeeze_float_1::is_ignored,
- squeeze_float_1::examples);
+ squeeze_float_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/squeeze_float_1_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/squeeze_float_1_relaxed.mod.py.cpp
index f37e711..c046cf2 100644
--- a/nn/runtime/test/generated/tests/squeeze_float_1_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/squeeze_float_1_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, squeeze_float_1_relaxed) {
execute(squeeze_float_1_relaxed::CreateModel,
squeeze_float_1_relaxed::is_ignored,
- squeeze_float_1_relaxed::examples);
+ squeeze_float_1_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/squeeze_quant8_1.mod.py.cpp b/nn/runtime/test/generated/tests/squeeze_quant8_1.mod.py.cpp
index beb9a3a..1805170 100644
--- a/nn/runtime/test/generated/tests/squeeze_quant8_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/squeeze_quant8_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, squeeze_quant8_1) {
execute(squeeze_quant8_1::CreateModel,
squeeze_quant8_1::is_ignored,
- squeeze_quant8_1::examples);
+ squeeze_quant8_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/squeeze_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/squeeze_relaxed.mod.py.cpp
index 6408dc5..33264a8 100644
--- a/nn/runtime/test/generated/tests/squeeze_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/squeeze_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, squeeze_relaxed) {
execute(squeeze_relaxed::CreateModel,
squeeze_relaxed::is_ignored,
- squeeze_relaxed::examples);
+ squeeze_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/strided_slice.mod.py.cpp b/nn/runtime/test/generated/tests/strided_slice.mod.py.cpp
index 712247b..9d85243 100644
--- a/nn/runtime/test/generated/tests/strided_slice.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/strided_slice.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, strided_slice) {
execute(strided_slice::CreateModel,
strided_slice::is_ignored,
- strided_slice::examples);
+ strided_slice::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/strided_slice_float16.mod.py.cpp b/nn/runtime/test/generated/tests/strided_slice_float16.mod.py.cpp
new file mode 100644
index 0000000..7f283ed
--- /dev/null
+++ b/nn/runtime/test/generated/tests/strided_slice_float16.mod.py.cpp
@@ -0,0 +1,17 @@
+// clang-format off
+// Generated file (from: strided_slice_float16.mod.py). Do not edit
+#include "../../TestGenerated.h"
+
+namespace strided_slice_float16 {
+// Generated strided_slice_float16 test
+#include "generated/examples/strided_slice_float16.example.cpp"
+// Generated model constructor
+#include "generated/models/strided_slice_float16.model.cpp"
+} // namespace strided_slice_float16
+
+TEST_F(GeneratedTests, strided_slice_float16) {
+ execute(strided_slice_float16::CreateModel,
+ strided_slice_float16::is_ignored,
+ strided_slice_float16::get_examples());
+}
+
diff --git a/nn/runtime/test/generated/tests/strided_slice_float_1.mod.py.cpp b/nn/runtime/test/generated/tests/strided_slice_float_1.mod.py.cpp
index 4709bf9..774b482 100644
--- a/nn/runtime/test/generated/tests/strided_slice_float_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/strided_slice_float_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, strided_slice_float_1) {
execute(strided_slice_float_1::CreateModel,
strided_slice_float_1::is_ignored,
- strided_slice_float_1::examples);
+ strided_slice_float_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/strided_slice_float_10.mod.py.cpp b/nn/runtime/test/generated/tests/strided_slice_float_10.mod.py.cpp
index 2fec58f..718f8b9 100644
--- a/nn/runtime/test/generated/tests/strided_slice_float_10.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/strided_slice_float_10.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, strided_slice_float_10) {
execute(strided_slice_float_10::CreateModel,
strided_slice_float_10::is_ignored,
- strided_slice_float_10::examples);
+ strided_slice_float_10::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/strided_slice_float_10_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/strided_slice_float_10_relaxed.mod.py.cpp
index 7eaf1a5..1a356c0 100644
--- a/nn/runtime/test/generated/tests/strided_slice_float_10_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/strided_slice_float_10_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, strided_slice_float_10_relaxed) {
execute(strided_slice_float_10_relaxed::CreateModel,
strided_slice_float_10_relaxed::is_ignored,
- strided_slice_float_10_relaxed::examples);
+ strided_slice_float_10_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/strided_slice_float_11.mod.py.cpp b/nn/runtime/test/generated/tests/strided_slice_float_11.mod.py.cpp
index b9dfb90..851a98b 100644
--- a/nn/runtime/test/generated/tests/strided_slice_float_11.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/strided_slice_float_11.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, strided_slice_float_11) {
execute(strided_slice_float_11::CreateModel,
strided_slice_float_11::is_ignored,
- strided_slice_float_11::examples);
+ strided_slice_float_11::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/strided_slice_float_11_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/strided_slice_float_11_relaxed.mod.py.cpp
index c448aa1..30768dc 100644
--- a/nn/runtime/test/generated/tests/strided_slice_float_11_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/strided_slice_float_11_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, strided_slice_float_11_relaxed) {
execute(strided_slice_float_11_relaxed::CreateModel,
strided_slice_float_11_relaxed::is_ignored,
- strided_slice_float_11_relaxed::examples);
+ strided_slice_float_11_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/strided_slice_float_1_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/strided_slice_float_1_relaxed.mod.py.cpp
index 1f5170f..770acef 100644
--- a/nn/runtime/test/generated/tests/strided_slice_float_1_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/strided_slice_float_1_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, strided_slice_float_1_relaxed) {
execute(strided_slice_float_1_relaxed::CreateModel,
strided_slice_float_1_relaxed::is_ignored,
- strided_slice_float_1_relaxed::examples);
+ strided_slice_float_1_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/strided_slice_float_2.mod.py.cpp b/nn/runtime/test/generated/tests/strided_slice_float_2.mod.py.cpp
index 62d3f0f..d08dc21 100644
--- a/nn/runtime/test/generated/tests/strided_slice_float_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/strided_slice_float_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, strided_slice_float_2) {
execute(strided_slice_float_2::CreateModel,
strided_slice_float_2::is_ignored,
- strided_slice_float_2::examples);
+ strided_slice_float_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/strided_slice_float_2_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/strided_slice_float_2_relaxed.mod.py.cpp
index b9acff6..42452ff 100644
--- a/nn/runtime/test/generated/tests/strided_slice_float_2_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/strided_slice_float_2_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, strided_slice_float_2_relaxed) {
execute(strided_slice_float_2_relaxed::CreateModel,
strided_slice_float_2_relaxed::is_ignored,
- strided_slice_float_2_relaxed::examples);
+ strided_slice_float_2_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/strided_slice_float_3.mod.py.cpp b/nn/runtime/test/generated/tests/strided_slice_float_3.mod.py.cpp
index 2a1de16..7b91a0c 100644
--- a/nn/runtime/test/generated/tests/strided_slice_float_3.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/strided_slice_float_3.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, strided_slice_float_3) {
execute(strided_slice_float_3::CreateModel,
strided_slice_float_3::is_ignored,
- strided_slice_float_3::examples);
+ strided_slice_float_3::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/strided_slice_float_3_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/strided_slice_float_3_relaxed.mod.py.cpp
index 4ae61c1..81653e3 100644
--- a/nn/runtime/test/generated/tests/strided_slice_float_3_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/strided_slice_float_3_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, strided_slice_float_3_relaxed) {
execute(strided_slice_float_3_relaxed::CreateModel,
strided_slice_float_3_relaxed::is_ignored,
- strided_slice_float_3_relaxed::examples);
+ strided_slice_float_3_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/strided_slice_float_4.mod.py.cpp b/nn/runtime/test/generated/tests/strided_slice_float_4.mod.py.cpp
index ccefad2..65936d1 100644
--- a/nn/runtime/test/generated/tests/strided_slice_float_4.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/strided_slice_float_4.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, strided_slice_float_4) {
execute(strided_slice_float_4::CreateModel,
strided_slice_float_4::is_ignored,
- strided_slice_float_4::examples);
+ strided_slice_float_4::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/strided_slice_float_4_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/strided_slice_float_4_relaxed.mod.py.cpp
index fff27d1..be17a06 100644
--- a/nn/runtime/test/generated/tests/strided_slice_float_4_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/strided_slice_float_4_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, strided_slice_float_4_relaxed) {
execute(strided_slice_float_4_relaxed::CreateModel,
strided_slice_float_4_relaxed::is_ignored,
- strided_slice_float_4_relaxed::examples);
+ strided_slice_float_4_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/strided_slice_float_5.mod.py.cpp b/nn/runtime/test/generated/tests/strided_slice_float_5.mod.py.cpp
index 4ba997e..498646b 100644
--- a/nn/runtime/test/generated/tests/strided_slice_float_5.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/strided_slice_float_5.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, strided_slice_float_5) {
execute(strided_slice_float_5::CreateModel,
strided_slice_float_5::is_ignored,
- strided_slice_float_5::examples);
+ strided_slice_float_5::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/strided_slice_float_5_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/strided_slice_float_5_relaxed.mod.py.cpp
index cf2257b..6e0db3f 100644
--- a/nn/runtime/test/generated/tests/strided_slice_float_5_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/strided_slice_float_5_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, strided_slice_float_5_relaxed) {
execute(strided_slice_float_5_relaxed::CreateModel,
strided_slice_float_5_relaxed::is_ignored,
- strided_slice_float_5_relaxed::examples);
+ strided_slice_float_5_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/strided_slice_float_6.mod.py.cpp b/nn/runtime/test/generated/tests/strided_slice_float_6.mod.py.cpp
index 2368890..bea8ed3 100644
--- a/nn/runtime/test/generated/tests/strided_slice_float_6.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/strided_slice_float_6.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, strided_slice_float_6) {
execute(strided_slice_float_6::CreateModel,
strided_slice_float_6::is_ignored,
- strided_slice_float_6::examples);
+ strided_slice_float_6::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/strided_slice_float_6_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/strided_slice_float_6_relaxed.mod.py.cpp
index 2ebc6d5..f08b1f4 100644
--- a/nn/runtime/test/generated/tests/strided_slice_float_6_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/strided_slice_float_6_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, strided_slice_float_6_relaxed) {
execute(strided_slice_float_6_relaxed::CreateModel,
strided_slice_float_6_relaxed::is_ignored,
- strided_slice_float_6_relaxed::examples);
+ strided_slice_float_6_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/strided_slice_float_7.mod.py.cpp b/nn/runtime/test/generated/tests/strided_slice_float_7.mod.py.cpp
index d8b52a0..3b4a0d3 100644
--- a/nn/runtime/test/generated/tests/strided_slice_float_7.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/strided_slice_float_7.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, strided_slice_float_7) {
execute(strided_slice_float_7::CreateModel,
strided_slice_float_7::is_ignored,
- strided_slice_float_7::examples);
+ strided_slice_float_7::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/strided_slice_float_7_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/strided_slice_float_7_relaxed.mod.py.cpp
index b4977fc..cc068ea 100644
--- a/nn/runtime/test/generated/tests/strided_slice_float_7_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/strided_slice_float_7_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, strided_slice_float_7_relaxed) {
execute(strided_slice_float_7_relaxed::CreateModel,
strided_slice_float_7_relaxed::is_ignored,
- strided_slice_float_7_relaxed::examples);
+ strided_slice_float_7_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/strided_slice_float_8.mod.py.cpp b/nn/runtime/test/generated/tests/strided_slice_float_8.mod.py.cpp
index 9d223f6..c53428d 100644
--- a/nn/runtime/test/generated/tests/strided_slice_float_8.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/strided_slice_float_8.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, strided_slice_float_8) {
execute(strided_slice_float_8::CreateModel,
strided_slice_float_8::is_ignored,
- strided_slice_float_8::examples);
+ strided_slice_float_8::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/strided_slice_float_8_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/strided_slice_float_8_relaxed.mod.py.cpp
index a152114..668c4a6 100644
--- a/nn/runtime/test/generated/tests/strided_slice_float_8_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/strided_slice_float_8_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, strided_slice_float_8_relaxed) {
execute(strided_slice_float_8_relaxed::CreateModel,
strided_slice_float_8_relaxed::is_ignored,
- strided_slice_float_8_relaxed::examples);
+ strided_slice_float_8_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/strided_slice_float_9.mod.py.cpp b/nn/runtime/test/generated/tests/strided_slice_float_9.mod.py.cpp
index 3566b16..d542592 100644
--- a/nn/runtime/test/generated/tests/strided_slice_float_9.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/strided_slice_float_9.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, strided_slice_float_9) {
execute(strided_slice_float_9::CreateModel,
strided_slice_float_9::is_ignored,
- strided_slice_float_9::examples);
+ strided_slice_float_9::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/strided_slice_float_9_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/strided_slice_float_9_relaxed.mod.py.cpp
index 3c9697a..0457e7d 100644
--- a/nn/runtime/test/generated/tests/strided_slice_float_9_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/strided_slice_float_9_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, strided_slice_float_9_relaxed) {
execute(strided_slice_float_9_relaxed::CreateModel,
strided_slice_float_9_relaxed::is_ignored,
- strided_slice_float_9_relaxed::examples);
+ strided_slice_float_9_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/strided_slice_qaunt8_10.mod.py.cpp b/nn/runtime/test/generated/tests/strided_slice_qaunt8_10.mod.py.cpp
index a7d12ac..575a016 100644
--- a/nn/runtime/test/generated/tests/strided_slice_qaunt8_10.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/strided_slice_qaunt8_10.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, strided_slice_qaunt8_10) {
execute(strided_slice_qaunt8_10::CreateModel,
strided_slice_qaunt8_10::is_ignored,
- strided_slice_qaunt8_10::examples);
+ strided_slice_qaunt8_10::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/strided_slice_qaunt8_11.mod.py.cpp b/nn/runtime/test/generated/tests/strided_slice_qaunt8_11.mod.py.cpp
index f2016c2..3e52a6d 100644
--- a/nn/runtime/test/generated/tests/strided_slice_qaunt8_11.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/strided_slice_qaunt8_11.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, strided_slice_qaunt8_11) {
execute(strided_slice_qaunt8_11::CreateModel,
strided_slice_qaunt8_11::is_ignored,
- strided_slice_qaunt8_11::examples);
+ strided_slice_qaunt8_11::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/strided_slice_quant8_1.mod.py.cpp b/nn/runtime/test/generated/tests/strided_slice_quant8_1.mod.py.cpp
index cf0edbb..d3c395e 100644
--- a/nn/runtime/test/generated/tests/strided_slice_quant8_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/strided_slice_quant8_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, strided_slice_quant8_1) {
execute(strided_slice_quant8_1::CreateModel,
strided_slice_quant8_1::is_ignored,
- strided_slice_quant8_1::examples);
+ strided_slice_quant8_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/strided_slice_quant8_2.mod.py.cpp b/nn/runtime/test/generated/tests/strided_slice_quant8_2.mod.py.cpp
index 494c62b..9c73eb8 100644
--- a/nn/runtime/test/generated/tests/strided_slice_quant8_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/strided_slice_quant8_2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, strided_slice_quant8_2) {
execute(strided_slice_quant8_2::CreateModel,
strided_slice_quant8_2::is_ignored,
- strided_slice_quant8_2::examples);
+ strided_slice_quant8_2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/strided_slice_quant8_3.mod.py.cpp b/nn/runtime/test/generated/tests/strided_slice_quant8_3.mod.py.cpp
index 87ba7c1..5028a2e 100644
--- a/nn/runtime/test/generated/tests/strided_slice_quant8_3.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/strided_slice_quant8_3.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, strided_slice_quant8_3) {
execute(strided_slice_quant8_3::CreateModel,
strided_slice_quant8_3::is_ignored,
- strided_slice_quant8_3::examples);
+ strided_slice_quant8_3::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/strided_slice_quant8_4.mod.py.cpp b/nn/runtime/test/generated/tests/strided_slice_quant8_4.mod.py.cpp
index d11566a..d5e862c 100644
--- a/nn/runtime/test/generated/tests/strided_slice_quant8_4.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/strided_slice_quant8_4.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, strided_slice_quant8_4) {
execute(strided_slice_quant8_4::CreateModel,
strided_slice_quant8_4::is_ignored,
- strided_slice_quant8_4::examples);
+ strided_slice_quant8_4::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/strided_slice_quant8_5.mod.py.cpp b/nn/runtime/test/generated/tests/strided_slice_quant8_5.mod.py.cpp
index fa4276e..c7cc2fa 100644
--- a/nn/runtime/test/generated/tests/strided_slice_quant8_5.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/strided_slice_quant8_5.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, strided_slice_quant8_5) {
execute(strided_slice_quant8_5::CreateModel,
strided_slice_quant8_5::is_ignored,
- strided_slice_quant8_5::examples);
+ strided_slice_quant8_5::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/strided_slice_quant8_6.mod.py.cpp b/nn/runtime/test/generated/tests/strided_slice_quant8_6.mod.py.cpp
index 6641636..b60e227 100644
--- a/nn/runtime/test/generated/tests/strided_slice_quant8_6.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/strided_slice_quant8_6.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, strided_slice_quant8_6) {
execute(strided_slice_quant8_6::CreateModel,
strided_slice_quant8_6::is_ignored,
- strided_slice_quant8_6::examples);
+ strided_slice_quant8_6::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/strided_slice_quant8_7.mod.py.cpp b/nn/runtime/test/generated/tests/strided_slice_quant8_7.mod.py.cpp
index f900083..f5ceb42 100644
--- a/nn/runtime/test/generated/tests/strided_slice_quant8_7.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/strided_slice_quant8_7.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, strided_slice_quant8_7) {
execute(strided_slice_quant8_7::CreateModel,
strided_slice_quant8_7::is_ignored,
- strided_slice_quant8_7::examples);
+ strided_slice_quant8_7::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/strided_slice_quant8_8.mod.py.cpp b/nn/runtime/test/generated/tests/strided_slice_quant8_8.mod.py.cpp
index cb4289f..096349d 100644
--- a/nn/runtime/test/generated/tests/strided_slice_quant8_8.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/strided_slice_quant8_8.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, strided_slice_quant8_8) {
execute(strided_slice_quant8_8::CreateModel,
strided_slice_quant8_8::is_ignored,
- strided_slice_quant8_8::examples);
+ strided_slice_quant8_8::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/strided_slice_quant8_9.mod.py.cpp b/nn/runtime/test/generated/tests/strided_slice_quant8_9.mod.py.cpp
index 0d394d0..dfc993c 100644
--- a/nn/runtime/test/generated/tests/strided_slice_quant8_9.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/strided_slice_quant8_9.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, strided_slice_quant8_9) {
execute(strided_slice_quant8_9::CreateModel,
strided_slice_quant8_9::is_ignored,
- strided_slice_quant8_9::examples);
+ strided_slice_quant8_9::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/strided_slice_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/strided_slice_relaxed.mod.py.cpp
index 100a0a1..7f45872 100644
--- a/nn/runtime/test/generated/tests/strided_slice_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/strided_slice_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, strided_slice_relaxed) {
execute(strided_slice_relaxed::CreateModel,
strided_slice_relaxed::is_ignored,
- strided_slice_relaxed::examples);
+ strided_slice_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/sub.mod.py.cpp b/nn/runtime/test/generated/tests/sub.mod.py.cpp
index 730f462..76fcc24 100644
--- a/nn/runtime/test/generated/tests/sub.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/sub.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, sub) {
execute(sub::CreateModel,
sub::is_ignored,
- sub::examples);
+ sub::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/sub_broadcast_float.mod.py.cpp b/nn/runtime/test/generated/tests/sub_broadcast_float.mod.py.cpp
index 4228046..8905da1 100644
--- a/nn/runtime/test/generated/tests/sub_broadcast_float.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/sub_broadcast_float.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, sub_broadcast_float) {
execute(sub_broadcast_float::CreateModel,
sub_broadcast_float::is_ignored,
- sub_broadcast_float::examples);
+ sub_broadcast_float::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/sub_broadcast_float_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/sub_broadcast_float_relaxed.mod.py.cpp
index 4e5bfa6..3937bd3 100644
--- a/nn/runtime/test/generated/tests/sub_broadcast_float_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/sub_broadcast_float_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, sub_broadcast_float_relaxed) {
execute(sub_broadcast_float_relaxed::CreateModel,
sub_broadcast_float_relaxed::is_ignored,
- sub_broadcast_float_relaxed::examples);
+ sub_broadcast_float_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/sub_float16.mod.py.cpp b/nn/runtime/test/generated/tests/sub_float16.mod.py.cpp
index 7b984ba..16bb702 100644
--- a/nn/runtime/test/generated/tests/sub_float16.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/sub_float16.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, sub_float16) {
execute(sub_float16::CreateModel,
sub_float16::is_ignored,
- sub_float16::examples);
+ sub_float16::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/sub_float16_broadcast.mod.py.cpp b/nn/runtime/test/generated/tests/sub_float16_broadcast.mod.py.cpp
index c4536be..c6c4a29 100644
--- a/nn/runtime/test/generated/tests/sub_float16_broadcast.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/sub_float16_broadcast.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, sub_float16_broadcast) {
execute(sub_float16_broadcast::CreateModel,
sub_float16_broadcast::is_ignored,
- sub_float16_broadcast::examples);
+ sub_float16_broadcast::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/sub_quantized.mod.py.cpp b/nn/runtime/test/generated/tests/sub_quantized.mod.py.cpp
index 4a4e581..e56613e 100644
--- a/nn/runtime/test/generated/tests/sub_quantized.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/sub_quantized.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, sub_quantized) {
execute(sub_quantized::CreateModel,
sub_quantized::is_ignored,
- sub_quantized::examples);
+ sub_quantized::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/sub_quantized_broadcast.mod.py.cpp b/nn/runtime/test/generated/tests/sub_quantized_broadcast.mod.py.cpp
index ed674fd..aadf039 100644
--- a/nn/runtime/test/generated/tests/sub_quantized_broadcast.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/sub_quantized_broadcast.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, sub_quantized_broadcast) {
execute(sub_quantized_broadcast::CreateModel,
sub_quantized_broadcast::is_ignored,
- sub_quantized_broadcast::examples);
+ sub_quantized_broadcast::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/sub_quantized_different_scales.mod.py.cpp b/nn/runtime/test/generated/tests/sub_quantized_different_scales.mod.py.cpp
index 0fb5f33..4355068 100644
--- a/nn/runtime/test/generated/tests/sub_quantized_different_scales.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/sub_quantized_different_scales.mod.py.cpp
@@ -12,384 +12,384 @@
TEST_F(GeneratedTests, sub_quantized_different_scales) {
execute(sub_quantized_different_scales::CreateModel,
sub_quantized_different_scales::is_ignored,
- sub_quantized_different_scales::examples);
+ sub_quantized_different_scales::get_examples());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_2) {
execute(sub_quantized_different_scales::CreateModel_2,
sub_quantized_different_scales::is_ignored_2,
- sub_quantized_different_scales::examples_2);
+ sub_quantized_different_scales::get_examples_2());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_3) {
execute(sub_quantized_different_scales::CreateModel_3,
sub_quantized_different_scales::is_ignored_3,
- sub_quantized_different_scales::examples_3);
+ sub_quantized_different_scales::get_examples_3());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_4) {
execute(sub_quantized_different_scales::CreateModel_4,
sub_quantized_different_scales::is_ignored_4,
- sub_quantized_different_scales::examples_4);
+ sub_quantized_different_scales::get_examples_4());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_5) {
execute(sub_quantized_different_scales::CreateModel_5,
sub_quantized_different_scales::is_ignored_5,
- sub_quantized_different_scales::examples_5);
+ sub_quantized_different_scales::get_examples_5());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_6) {
execute(sub_quantized_different_scales::CreateModel_6,
sub_quantized_different_scales::is_ignored_6,
- sub_quantized_different_scales::examples_6);
+ sub_quantized_different_scales::get_examples_6());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_7) {
execute(sub_quantized_different_scales::CreateModel_7,
sub_quantized_different_scales::is_ignored_7,
- sub_quantized_different_scales::examples_7);
+ sub_quantized_different_scales::get_examples_7());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_8) {
execute(sub_quantized_different_scales::CreateModel_8,
sub_quantized_different_scales::is_ignored_8,
- sub_quantized_different_scales::examples_8);
+ sub_quantized_different_scales::get_examples_8());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_9) {
execute(sub_quantized_different_scales::CreateModel_9,
sub_quantized_different_scales::is_ignored_9,
- sub_quantized_different_scales::examples_9);
+ sub_quantized_different_scales::get_examples_9());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_10) {
execute(sub_quantized_different_scales::CreateModel_10,
sub_quantized_different_scales::is_ignored_10,
- sub_quantized_different_scales::examples_10);
+ sub_quantized_different_scales::get_examples_10());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_11) {
execute(sub_quantized_different_scales::CreateModel_11,
sub_quantized_different_scales::is_ignored_11,
- sub_quantized_different_scales::examples_11);
+ sub_quantized_different_scales::get_examples_11());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_12) {
execute(sub_quantized_different_scales::CreateModel_12,
sub_quantized_different_scales::is_ignored_12,
- sub_quantized_different_scales::examples_12);
+ sub_quantized_different_scales::get_examples_12());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_13) {
execute(sub_quantized_different_scales::CreateModel_13,
sub_quantized_different_scales::is_ignored_13,
- sub_quantized_different_scales::examples_13);
+ sub_quantized_different_scales::get_examples_13());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_14) {
execute(sub_quantized_different_scales::CreateModel_14,
sub_quantized_different_scales::is_ignored_14,
- sub_quantized_different_scales::examples_14);
+ sub_quantized_different_scales::get_examples_14());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_15) {
execute(sub_quantized_different_scales::CreateModel_15,
sub_quantized_different_scales::is_ignored_15,
- sub_quantized_different_scales::examples_15);
+ sub_quantized_different_scales::get_examples_15());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_16) {
execute(sub_quantized_different_scales::CreateModel_16,
sub_quantized_different_scales::is_ignored_16,
- sub_quantized_different_scales::examples_16);
+ sub_quantized_different_scales::get_examples_16());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_17) {
execute(sub_quantized_different_scales::CreateModel_17,
sub_quantized_different_scales::is_ignored_17,
- sub_quantized_different_scales::examples_17);
+ sub_quantized_different_scales::get_examples_17());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_18) {
execute(sub_quantized_different_scales::CreateModel_18,
sub_quantized_different_scales::is_ignored_18,
- sub_quantized_different_scales::examples_18);
+ sub_quantized_different_scales::get_examples_18());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_19) {
execute(sub_quantized_different_scales::CreateModel_19,
sub_quantized_different_scales::is_ignored_19,
- sub_quantized_different_scales::examples_19);
+ sub_quantized_different_scales::get_examples_19());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_20) {
execute(sub_quantized_different_scales::CreateModel_20,
sub_quantized_different_scales::is_ignored_20,
- sub_quantized_different_scales::examples_20);
+ sub_quantized_different_scales::get_examples_20());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_21) {
execute(sub_quantized_different_scales::CreateModel_21,
sub_quantized_different_scales::is_ignored_21,
- sub_quantized_different_scales::examples_21);
+ sub_quantized_different_scales::get_examples_21());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_22) {
execute(sub_quantized_different_scales::CreateModel_22,
sub_quantized_different_scales::is_ignored_22,
- sub_quantized_different_scales::examples_22);
+ sub_quantized_different_scales::get_examples_22());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_23) {
execute(sub_quantized_different_scales::CreateModel_23,
sub_quantized_different_scales::is_ignored_23,
- sub_quantized_different_scales::examples_23);
+ sub_quantized_different_scales::get_examples_23());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_24) {
execute(sub_quantized_different_scales::CreateModel_24,
sub_quantized_different_scales::is_ignored_24,
- sub_quantized_different_scales::examples_24);
+ sub_quantized_different_scales::get_examples_24());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_25) {
execute(sub_quantized_different_scales::CreateModel_25,
sub_quantized_different_scales::is_ignored_25,
- sub_quantized_different_scales::examples_25);
+ sub_quantized_different_scales::get_examples_25());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_26) {
execute(sub_quantized_different_scales::CreateModel_26,
sub_quantized_different_scales::is_ignored_26,
- sub_quantized_different_scales::examples_26);
+ sub_quantized_different_scales::get_examples_26());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_27) {
execute(sub_quantized_different_scales::CreateModel_27,
sub_quantized_different_scales::is_ignored_27,
- sub_quantized_different_scales::examples_27);
+ sub_quantized_different_scales::get_examples_27());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_28) {
execute(sub_quantized_different_scales::CreateModel_28,
sub_quantized_different_scales::is_ignored_28,
- sub_quantized_different_scales::examples_28);
+ sub_quantized_different_scales::get_examples_28());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_29) {
execute(sub_quantized_different_scales::CreateModel_29,
sub_quantized_different_scales::is_ignored_29,
- sub_quantized_different_scales::examples_29);
+ sub_quantized_different_scales::get_examples_29());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_30) {
execute(sub_quantized_different_scales::CreateModel_30,
sub_quantized_different_scales::is_ignored_30,
- sub_quantized_different_scales::examples_30);
+ sub_quantized_different_scales::get_examples_30());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_31) {
execute(sub_quantized_different_scales::CreateModel_31,
sub_quantized_different_scales::is_ignored_31,
- sub_quantized_different_scales::examples_31);
+ sub_quantized_different_scales::get_examples_31());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_32) {
execute(sub_quantized_different_scales::CreateModel_32,
sub_quantized_different_scales::is_ignored_32,
- sub_quantized_different_scales::examples_32);
+ sub_quantized_different_scales::get_examples_32());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_33) {
execute(sub_quantized_different_scales::CreateModel_33,
sub_quantized_different_scales::is_ignored_33,
- sub_quantized_different_scales::examples_33);
+ sub_quantized_different_scales::get_examples_33());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_34) {
execute(sub_quantized_different_scales::CreateModel_34,
sub_quantized_different_scales::is_ignored_34,
- sub_quantized_different_scales::examples_34);
+ sub_quantized_different_scales::get_examples_34());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_35) {
execute(sub_quantized_different_scales::CreateModel_35,
sub_quantized_different_scales::is_ignored_35,
- sub_quantized_different_scales::examples_35);
+ sub_quantized_different_scales::get_examples_35());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_36) {
execute(sub_quantized_different_scales::CreateModel_36,
sub_quantized_different_scales::is_ignored_36,
- sub_quantized_different_scales::examples_36);
+ sub_quantized_different_scales::get_examples_36());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_37) {
execute(sub_quantized_different_scales::CreateModel_37,
sub_quantized_different_scales::is_ignored_37,
- sub_quantized_different_scales::examples_37);
+ sub_quantized_different_scales::get_examples_37());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_38) {
execute(sub_quantized_different_scales::CreateModel_38,
sub_quantized_different_scales::is_ignored_38,
- sub_quantized_different_scales::examples_38);
+ sub_quantized_different_scales::get_examples_38());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_39) {
execute(sub_quantized_different_scales::CreateModel_39,
sub_quantized_different_scales::is_ignored_39,
- sub_quantized_different_scales::examples_39);
+ sub_quantized_different_scales::get_examples_39());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_40) {
execute(sub_quantized_different_scales::CreateModel_40,
sub_quantized_different_scales::is_ignored_40,
- sub_quantized_different_scales::examples_40);
+ sub_quantized_different_scales::get_examples_40());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_41) {
execute(sub_quantized_different_scales::CreateModel_41,
sub_quantized_different_scales::is_ignored_41,
- sub_quantized_different_scales::examples_41);
+ sub_quantized_different_scales::get_examples_41());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_42) {
execute(sub_quantized_different_scales::CreateModel_42,
sub_quantized_different_scales::is_ignored_42,
- sub_quantized_different_scales::examples_42);
+ sub_quantized_different_scales::get_examples_42());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_43) {
execute(sub_quantized_different_scales::CreateModel_43,
sub_quantized_different_scales::is_ignored_43,
- sub_quantized_different_scales::examples_43);
+ sub_quantized_different_scales::get_examples_43());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_44) {
execute(sub_quantized_different_scales::CreateModel_44,
sub_quantized_different_scales::is_ignored_44,
- sub_quantized_different_scales::examples_44);
+ sub_quantized_different_scales::get_examples_44());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_45) {
execute(sub_quantized_different_scales::CreateModel_45,
sub_quantized_different_scales::is_ignored_45,
- sub_quantized_different_scales::examples_45);
+ sub_quantized_different_scales::get_examples_45());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_46) {
execute(sub_quantized_different_scales::CreateModel_46,
sub_quantized_different_scales::is_ignored_46,
- sub_quantized_different_scales::examples_46);
+ sub_quantized_different_scales::get_examples_46());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_47) {
execute(sub_quantized_different_scales::CreateModel_47,
sub_quantized_different_scales::is_ignored_47,
- sub_quantized_different_scales::examples_47);
+ sub_quantized_different_scales::get_examples_47());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_48) {
execute(sub_quantized_different_scales::CreateModel_48,
sub_quantized_different_scales::is_ignored_48,
- sub_quantized_different_scales::examples_48);
+ sub_quantized_different_scales::get_examples_48());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_49) {
execute(sub_quantized_different_scales::CreateModel_49,
sub_quantized_different_scales::is_ignored_49,
- sub_quantized_different_scales::examples_49);
+ sub_quantized_different_scales::get_examples_49());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_50) {
execute(sub_quantized_different_scales::CreateModel_50,
sub_quantized_different_scales::is_ignored_50,
- sub_quantized_different_scales::examples_50);
+ sub_quantized_different_scales::get_examples_50());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_51) {
execute(sub_quantized_different_scales::CreateModel_51,
sub_quantized_different_scales::is_ignored_51,
- sub_quantized_different_scales::examples_51);
+ sub_quantized_different_scales::get_examples_51());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_52) {
execute(sub_quantized_different_scales::CreateModel_52,
sub_quantized_different_scales::is_ignored_52,
- sub_quantized_different_scales::examples_52);
+ sub_quantized_different_scales::get_examples_52());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_53) {
execute(sub_quantized_different_scales::CreateModel_53,
sub_quantized_different_scales::is_ignored_53,
- sub_quantized_different_scales::examples_53);
+ sub_quantized_different_scales::get_examples_53());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_54) {
execute(sub_quantized_different_scales::CreateModel_54,
sub_quantized_different_scales::is_ignored_54,
- sub_quantized_different_scales::examples_54);
+ sub_quantized_different_scales::get_examples_54());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_55) {
execute(sub_quantized_different_scales::CreateModel_55,
sub_quantized_different_scales::is_ignored_55,
- sub_quantized_different_scales::examples_55);
+ sub_quantized_different_scales::get_examples_55());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_56) {
execute(sub_quantized_different_scales::CreateModel_56,
sub_quantized_different_scales::is_ignored_56,
- sub_quantized_different_scales::examples_56);
+ sub_quantized_different_scales::get_examples_56());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_57) {
execute(sub_quantized_different_scales::CreateModel_57,
sub_quantized_different_scales::is_ignored_57,
- sub_quantized_different_scales::examples_57);
+ sub_quantized_different_scales::get_examples_57());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_58) {
execute(sub_quantized_different_scales::CreateModel_58,
sub_quantized_different_scales::is_ignored_58,
- sub_quantized_different_scales::examples_58);
+ sub_quantized_different_scales::get_examples_58());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_59) {
execute(sub_quantized_different_scales::CreateModel_59,
sub_quantized_different_scales::is_ignored_59,
- sub_quantized_different_scales::examples_59);
+ sub_quantized_different_scales::get_examples_59());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_60) {
execute(sub_quantized_different_scales::CreateModel_60,
sub_quantized_different_scales::is_ignored_60,
- sub_quantized_different_scales::examples_60);
+ sub_quantized_different_scales::get_examples_60());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_61) {
execute(sub_quantized_different_scales::CreateModel_61,
sub_quantized_different_scales::is_ignored_61,
- sub_quantized_different_scales::examples_61);
+ sub_quantized_different_scales::get_examples_61());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_62) {
execute(sub_quantized_different_scales::CreateModel_62,
sub_quantized_different_scales::is_ignored_62,
- sub_quantized_different_scales::examples_62);
+ sub_quantized_different_scales::get_examples_62());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_63) {
execute(sub_quantized_different_scales::CreateModel_63,
sub_quantized_different_scales::is_ignored_63,
- sub_quantized_different_scales::examples_63);
+ sub_quantized_different_scales::get_examples_63());
}
TEST_F(GeneratedTests, sub_quantized_different_scales_64) {
execute(sub_quantized_different_scales::CreateModel_64,
sub_quantized_different_scales::is_ignored_64,
- sub_quantized_different_scales::examples_64);
+ sub_quantized_different_scales::get_examples_64());
}
diff --git a/nn/runtime/test/generated/tests/sub_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/sub_relaxed.mod.py.cpp
index 9d21ec8..faebaa6 100644
--- a/nn/runtime/test/generated/tests/sub_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/sub_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, sub_relaxed) {
execute(sub_relaxed::CreateModel,
sub_relaxed::is_ignored,
- sub_relaxed::examples);
+ sub_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/svdf.mod.py.cpp b/nn/runtime/test/generated/tests/svdf.mod.py.cpp
index d20d673..53b0c7b 100644
--- a/nn/runtime/test/generated/tests/svdf.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/svdf.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, svdf) {
execute(svdf::CreateModel,
svdf::is_ignored,
- svdf::examples);
+ svdf::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/svdf2.mod.py.cpp b/nn/runtime/test/generated/tests/svdf2.mod.py.cpp
index 5da560c..8e2aec5 100644
--- a/nn/runtime/test/generated/tests/svdf2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/svdf2.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, svdf2) {
execute(svdf2::CreateModel,
svdf2::is_ignored,
- svdf2::examples);
+ svdf2::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/svdf2_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/svdf2_relaxed.mod.py.cpp
index 2992455..5f4a24b 100644
--- a/nn/runtime/test/generated/tests/svdf2_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/svdf2_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, svdf2_relaxed) {
execute(svdf2_relaxed::CreateModel,
svdf2_relaxed::is_ignored,
- svdf2_relaxed::examples);
+ svdf2_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/svdf_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/svdf_relaxed.mod.py.cpp
index c1c496c..28c66f5 100644
--- a/nn/runtime/test/generated/tests/svdf_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/svdf_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, svdf_relaxed) {
execute(svdf_relaxed::CreateModel,
svdf_relaxed::is_ignored,
- svdf_relaxed::examples);
+ svdf_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/svdf_state.mod.py.cpp b/nn/runtime/test/generated/tests/svdf_state.mod.py.cpp
index 6602360..de746d7 100644
--- a/nn/runtime/test/generated/tests/svdf_state.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/svdf_state.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, svdf_state) {
execute(svdf_state::CreateModel,
svdf_state::is_ignored,
- svdf_state::examples);
+ svdf_state::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/svdf_state_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/svdf_state_relaxed.mod.py.cpp
index 3dac9e3..130a7c8 100644
--- a/nn/runtime/test/generated/tests/svdf_state_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/svdf_state_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, svdf_state_relaxed) {
execute(svdf_state_relaxed::CreateModel,
svdf_state_relaxed::is_ignored,
- svdf_state_relaxed::examples);
+ svdf_state_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/tanh.mod.py.cpp b/nn/runtime/test/generated/tests/tanh.mod.py.cpp
index 5e93892..6df3e14 100644
--- a/nn/runtime/test/generated/tests/tanh.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/tanh.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, tanh) {
execute(tanh::CreateModel,
tanh::is_ignored,
- tanh::examples);
+ tanh::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/tanh_float16.mod.py.cpp b/nn/runtime/test/generated/tests/tanh_float16.mod.py.cpp
index 9016081..3d76f54 100644
--- a/nn/runtime/test/generated/tests/tanh_float16.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/tanh_float16.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, tanh_float16) {
execute(tanh_float16::CreateModel,
tanh_float16::is_ignored,
- tanh_float16::examples);
+ tanh_float16::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/tanh_quantized.mod.py.cpp b/nn/runtime/test/generated/tests/tanh_quantized.mod.py.cpp
index 306421c..79ff989 100644
--- a/nn/runtime/test/generated/tests/tanh_quantized.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/tanh_quantized.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, tanh_quantized) {
execute(tanh_quantized::CreateModel,
tanh_quantized::is_ignored,
- tanh_quantized::examples);
+ tanh_quantized::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/tanh_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/tanh_relaxed.mod.py.cpp
index 60138bd..2a4fe5b 100644
--- a/nn/runtime/test/generated/tests/tanh_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/tanh_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, tanh_relaxed) {
execute(tanh_relaxed::CreateModel,
tanh_relaxed::is_ignored,
- tanh_relaxed::examples);
+ tanh_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/tile_1.mod.py.cpp b/nn/runtime/test/generated/tests/tile_1.mod.py.cpp
index 1a1c935..4efdbb5 100644
--- a/nn/runtime/test/generated/tests/tile_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/tile_1.mod.py.cpp
@@ -12,24 +12,24 @@
TEST_F(GeneratedTests, tile_1) {
execute(tile_1::CreateModel,
tile_1::is_ignored,
- tile_1::examples);
+ tile_1::get_examples());
}
TEST_F(GeneratedTests, tile_1_relaxed) {
execute(tile_1::CreateModel_relaxed,
tile_1::is_ignored_relaxed,
- tile_1::examples_relaxed);
+ tile_1::get_examples_relaxed());
}
TEST_F(GeneratedTests, tile_1_float16) {
execute(tile_1::CreateModel_float16,
tile_1::is_ignored_float16,
- tile_1::examples_float16);
+ tile_1::get_examples_float16());
}
TEST_F(GeneratedTests, tile_1_quant8) {
execute(tile_1::CreateModel_quant8,
tile_1::is_ignored_quant8,
- tile_1::examples_quant8);
+ tile_1::get_examples_quant8());
}
diff --git a/nn/runtime/test/generated/tests/tile_2.mod.py.cpp b/nn/runtime/test/generated/tests/tile_2.mod.py.cpp
index 3e68f86..2a19141 100644
--- a/nn/runtime/test/generated/tests/tile_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/tile_2.mod.py.cpp
@@ -12,30 +12,30 @@
TEST_F(GeneratedTests, tile_2) {
execute(tile_2::CreateModel,
tile_2::is_ignored,
- tile_2::examples);
+ tile_2::get_examples());
}
TEST_F(GeneratedTests, tile_2_relaxed) {
execute(tile_2::CreateModel_relaxed,
tile_2::is_ignored_relaxed,
- tile_2::examples_relaxed);
+ tile_2::get_examples_relaxed());
}
TEST_F(GeneratedTests, tile_2_float16) {
execute(tile_2::CreateModel_float16,
tile_2::is_ignored_float16,
- tile_2::examples_float16);
+ tile_2::get_examples_float16());
}
TEST_F(GeneratedTests, tile_2_quant8) {
execute(tile_2::CreateModel_quant8,
tile_2::is_ignored_quant8,
- tile_2::examples_quant8);
+ tile_2::get_examples_quant8());
}
TEST_F(GeneratedTests, tile_2_int32) {
execute(tile_2::CreateModel_int32,
tile_2::is_ignored_int32,
- tile_2::examples_int32);
+ tile_2::get_examples_int32());
}
diff --git a/nn/runtime/test/generated/tests/tile_3.mod.py.cpp b/nn/runtime/test/generated/tests/tile_3.mod.py.cpp
index 0068ac5..aee292b 100644
--- a/nn/runtime/test/generated/tests/tile_3.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/tile_3.mod.py.cpp
@@ -12,30 +12,30 @@
TEST_F(GeneratedTests, tile_3) {
execute(tile_3::CreateModel,
tile_3::is_ignored,
- tile_3::examples);
+ tile_3::get_examples());
}
TEST_F(GeneratedTests, tile_3_relaxed) {
execute(tile_3::CreateModel_relaxed,
tile_3::is_ignored_relaxed,
- tile_3::examples_relaxed);
+ tile_3::get_examples_relaxed());
}
TEST_F(GeneratedTests, tile_3_float16) {
execute(tile_3::CreateModel_float16,
tile_3::is_ignored_float16,
- tile_3::examples_float16);
+ tile_3::get_examples_float16());
}
TEST_F(GeneratedTests, tile_3_quant8) {
execute(tile_3::CreateModel_quant8,
tile_3::is_ignored_quant8,
- tile_3::examples_quant8);
+ tile_3::get_examples_quant8());
}
TEST_F(GeneratedTests, tile_3_int32) {
execute(tile_3::CreateModel_int32,
tile_3::is_ignored_int32,
- tile_3::examples_int32);
+ tile_3::get_examples_int32());
}
diff --git a/nn/runtime/test/generated/tests/topk_v2.mod.py.cpp b/nn/runtime/test/generated/tests/topk_v2.mod.py.cpp
index 8075450..655bb5f 100644
--- a/nn/runtime/test/generated/tests/topk_v2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/topk_v2.mod.py.cpp
@@ -12,108 +12,108 @@
TEST_F(GeneratedTests, topk_v2) {
execute(topk_v2::CreateModel,
topk_v2::is_ignored,
- topk_v2::examples);
+ topk_v2::get_examples());
}
TEST_F(GeneratedTests, topk_v2_relaxed) {
execute(topk_v2::CreateModel_relaxed,
topk_v2::is_ignored_relaxed,
- topk_v2::examples_relaxed);
+ topk_v2::get_examples_relaxed());
}
TEST_F(GeneratedTests, topk_v2_float16) {
execute(topk_v2::CreateModel_float16,
topk_v2::is_ignored_float16,
- topk_v2::examples_float16);
+ topk_v2::get_examples_float16());
}
TEST_F(GeneratedTests, topk_v2_2) {
execute(topk_v2::CreateModel_2,
topk_v2::is_ignored_2,
- topk_v2::examples_2);
+ topk_v2::get_examples_2());
}
TEST_F(GeneratedTests, topk_v2_relaxed_2) {
execute(topk_v2::CreateModel_relaxed_2,
topk_v2::is_ignored_relaxed_2,
- topk_v2::examples_relaxed_2);
+ topk_v2::get_examples_relaxed_2());
}
TEST_F(GeneratedTests, topk_v2_float16_2) {
execute(topk_v2::CreateModel_float16_2,
topk_v2::is_ignored_float16_2,
- topk_v2::examples_float16_2);
+ topk_v2::get_examples_float16_2());
}
TEST_F(GeneratedTests, topk_v2_3) {
execute(topk_v2::CreateModel_3,
topk_v2::is_ignored_3,
- topk_v2::examples_3);
+ topk_v2::get_examples_3());
}
TEST_F(GeneratedTests, topk_v2_relaxed_3) {
execute(topk_v2::CreateModel_relaxed_3,
topk_v2::is_ignored_relaxed_3,
- topk_v2::examples_relaxed_3);
+ topk_v2::get_examples_relaxed_3());
}
TEST_F(GeneratedTests, topk_v2_float16_3) {
execute(topk_v2::CreateModel_float16_3,
topk_v2::is_ignored_float16_3,
- topk_v2::examples_float16_3);
+ topk_v2::get_examples_float16_3());
}
TEST_F(GeneratedTests, topk_v2_4) {
execute(topk_v2::CreateModel_4,
topk_v2::is_ignored_4,
- topk_v2::examples_4);
+ topk_v2::get_examples_4());
}
TEST_F(GeneratedTests, topk_v2_relaxed_4) {
execute(topk_v2::CreateModel_relaxed_4,
topk_v2::is_ignored_relaxed_4,
- topk_v2::examples_relaxed_4);
+ topk_v2::get_examples_relaxed_4());
}
TEST_F(GeneratedTests, topk_v2_float16_4) {
execute(topk_v2::CreateModel_float16_4,
topk_v2::is_ignored_float16_4,
- topk_v2::examples_float16_4);
+ topk_v2::get_examples_float16_4());
}
TEST_F(GeneratedTests, topk_v2_5) {
execute(topk_v2::CreateModel_5,
topk_v2::is_ignored_5,
- topk_v2::examples_5);
+ topk_v2::get_examples_5());
}
TEST_F(GeneratedTests, topk_v2_relaxed_5) {
execute(topk_v2::CreateModel_relaxed_5,
topk_v2::is_ignored_relaxed_5,
- topk_v2::examples_relaxed_5);
+ topk_v2::get_examples_relaxed_5());
}
TEST_F(GeneratedTests, topk_v2_float16_5) {
execute(topk_v2::CreateModel_float16_5,
topk_v2::is_ignored_float16_5,
- topk_v2::examples_float16_5);
+ topk_v2::get_examples_float16_5());
}
TEST_F(GeneratedTests, topk_v2_6) {
execute(topk_v2::CreateModel_6,
topk_v2::is_ignored_6,
- topk_v2::examples_6);
+ topk_v2::get_examples_6());
}
TEST_F(GeneratedTests, topk_v2_relaxed_6) {
execute(topk_v2::CreateModel_relaxed_6,
topk_v2::is_ignored_relaxed_6,
- topk_v2::examples_relaxed_6);
+ topk_v2::get_examples_relaxed_6());
}
TEST_F(GeneratedTests, topk_v2_float16_6) {
execute(topk_v2::CreateModel_float16_6,
topk_v2::is_ignored_float16_6,
- topk_v2::examples_float16_6);
+ topk_v2::get_examples_float16_6());
}
diff --git a/nn/runtime/test/generated/tests/transpose.mod.py.cpp b/nn/runtime/test/generated/tests/transpose.mod.py.cpp
index 3957078..3d5b61a 100644
--- a/nn/runtime/test/generated/tests/transpose.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/transpose.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, transpose) {
execute(transpose::CreateModel,
transpose::is_ignored,
- transpose::examples);
+ transpose::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/transpose_conv2d.mod.py.cpp b/nn/runtime/test/generated/tests/transpose_conv2d.mod.py.cpp
index 0dfa347..10ff1b5 100644
--- a/nn/runtime/test/generated/tests/transpose_conv2d.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/transpose_conv2d.mod.py.cpp
@@ -12,576 +12,576 @@
TEST_F(GeneratedTests, transpose_conv2d_nhwc_none) {
execute(transpose_conv2d::CreateModel_nhwc_none,
transpose_conv2d::is_ignored_nhwc_none,
- transpose_conv2d::examples_nhwc_none);
+ transpose_conv2d::get_examples_nhwc_none());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_none_weight_as_input) {
execute(transpose_conv2d::CreateModel_nhwc_none_weight_as_input,
transpose_conv2d::is_ignored_nhwc_none_weight_as_input,
- transpose_conv2d::examples_nhwc_none_weight_as_input);
+ transpose_conv2d::get_examples_nhwc_none_weight_as_input());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_none_relaxed) {
execute(transpose_conv2d::CreateModel_nhwc_none_relaxed,
transpose_conv2d::is_ignored_nhwc_none_relaxed,
- transpose_conv2d::examples_nhwc_none_relaxed);
+ transpose_conv2d::get_examples_nhwc_none_relaxed());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_none_relaxed_weight_as_input) {
execute(transpose_conv2d::CreateModel_nhwc_none_relaxed_weight_as_input,
transpose_conv2d::is_ignored_nhwc_none_relaxed_weight_as_input,
- transpose_conv2d::examples_nhwc_none_relaxed_weight_as_input);
+ transpose_conv2d::get_examples_nhwc_none_relaxed_weight_as_input());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_none_quant8) {
execute(transpose_conv2d::CreateModel_nhwc_none_quant8,
transpose_conv2d::is_ignored_nhwc_none_quant8,
- transpose_conv2d::examples_nhwc_none_quant8);
+ transpose_conv2d::get_examples_nhwc_none_quant8());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_none_quant8_weight_as_input) {
execute(transpose_conv2d::CreateModel_nhwc_none_quant8_weight_as_input,
transpose_conv2d::is_ignored_nhwc_none_quant8_weight_as_input,
- transpose_conv2d::examples_nhwc_none_quant8_weight_as_input);
+ transpose_conv2d::get_examples_nhwc_none_quant8_weight_as_input());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_relu) {
execute(transpose_conv2d::CreateModel_nhwc_relu,
transpose_conv2d::is_ignored_nhwc_relu,
- transpose_conv2d::examples_nhwc_relu);
+ transpose_conv2d::get_examples_nhwc_relu());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_relu_weight_as_input) {
execute(transpose_conv2d::CreateModel_nhwc_relu_weight_as_input,
transpose_conv2d::is_ignored_nhwc_relu_weight_as_input,
- transpose_conv2d::examples_nhwc_relu_weight_as_input);
+ transpose_conv2d::get_examples_nhwc_relu_weight_as_input());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_relu_relaxed) {
execute(transpose_conv2d::CreateModel_nhwc_relu_relaxed,
transpose_conv2d::is_ignored_nhwc_relu_relaxed,
- transpose_conv2d::examples_nhwc_relu_relaxed);
+ transpose_conv2d::get_examples_nhwc_relu_relaxed());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_relu_relaxed_weight_as_input) {
execute(transpose_conv2d::CreateModel_nhwc_relu_relaxed_weight_as_input,
transpose_conv2d::is_ignored_nhwc_relu_relaxed_weight_as_input,
- transpose_conv2d::examples_nhwc_relu_relaxed_weight_as_input);
+ transpose_conv2d::get_examples_nhwc_relu_relaxed_weight_as_input());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_relu_quant8) {
execute(transpose_conv2d::CreateModel_nhwc_relu_quant8,
transpose_conv2d::is_ignored_nhwc_relu_quant8,
- transpose_conv2d::examples_nhwc_relu_quant8);
+ transpose_conv2d::get_examples_nhwc_relu_quant8());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_relu_quant8_weight_as_input) {
execute(transpose_conv2d::CreateModel_nhwc_relu_quant8_weight_as_input,
transpose_conv2d::is_ignored_nhwc_relu_quant8_weight_as_input,
- transpose_conv2d::examples_nhwc_relu_quant8_weight_as_input);
+ transpose_conv2d::get_examples_nhwc_relu_quant8_weight_as_input());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_relu1) {
execute(transpose_conv2d::CreateModel_nhwc_relu1,
transpose_conv2d::is_ignored_nhwc_relu1,
- transpose_conv2d::examples_nhwc_relu1);
+ transpose_conv2d::get_examples_nhwc_relu1());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_relu1_weight_as_input) {
execute(transpose_conv2d::CreateModel_nhwc_relu1_weight_as_input,
transpose_conv2d::is_ignored_nhwc_relu1_weight_as_input,
- transpose_conv2d::examples_nhwc_relu1_weight_as_input);
+ transpose_conv2d::get_examples_nhwc_relu1_weight_as_input());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_relu1_relaxed) {
execute(transpose_conv2d::CreateModel_nhwc_relu1_relaxed,
transpose_conv2d::is_ignored_nhwc_relu1_relaxed,
- transpose_conv2d::examples_nhwc_relu1_relaxed);
+ transpose_conv2d::get_examples_nhwc_relu1_relaxed());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_relu1_relaxed_weight_as_input) {
execute(transpose_conv2d::CreateModel_nhwc_relu1_relaxed_weight_as_input,
transpose_conv2d::is_ignored_nhwc_relu1_relaxed_weight_as_input,
- transpose_conv2d::examples_nhwc_relu1_relaxed_weight_as_input);
+ transpose_conv2d::get_examples_nhwc_relu1_relaxed_weight_as_input());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_relu1_quant8) {
execute(transpose_conv2d::CreateModel_nhwc_relu1_quant8,
transpose_conv2d::is_ignored_nhwc_relu1_quant8,
- transpose_conv2d::examples_nhwc_relu1_quant8);
+ transpose_conv2d::get_examples_nhwc_relu1_quant8());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_relu1_quant8_weight_as_input) {
execute(transpose_conv2d::CreateModel_nhwc_relu1_quant8_weight_as_input,
transpose_conv2d::is_ignored_nhwc_relu1_quant8_weight_as_input,
- transpose_conv2d::examples_nhwc_relu1_quant8_weight_as_input);
+ transpose_conv2d::get_examples_nhwc_relu1_quant8_weight_as_input());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_relu6) {
execute(transpose_conv2d::CreateModel_nhwc_relu6,
transpose_conv2d::is_ignored_nhwc_relu6,
- transpose_conv2d::examples_nhwc_relu6);
+ transpose_conv2d::get_examples_nhwc_relu6());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_relu6_weight_as_input) {
execute(transpose_conv2d::CreateModel_nhwc_relu6_weight_as_input,
transpose_conv2d::is_ignored_nhwc_relu6_weight_as_input,
- transpose_conv2d::examples_nhwc_relu6_weight_as_input);
+ transpose_conv2d::get_examples_nhwc_relu6_weight_as_input());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_relu6_relaxed) {
execute(transpose_conv2d::CreateModel_nhwc_relu6_relaxed,
transpose_conv2d::is_ignored_nhwc_relu6_relaxed,
- transpose_conv2d::examples_nhwc_relu6_relaxed);
+ transpose_conv2d::get_examples_nhwc_relu6_relaxed());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_relu6_relaxed_weight_as_input) {
execute(transpose_conv2d::CreateModel_nhwc_relu6_relaxed_weight_as_input,
transpose_conv2d::is_ignored_nhwc_relu6_relaxed_weight_as_input,
- transpose_conv2d::examples_nhwc_relu6_relaxed_weight_as_input);
+ transpose_conv2d::get_examples_nhwc_relu6_relaxed_weight_as_input());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_relu6_quant8) {
execute(transpose_conv2d::CreateModel_nhwc_relu6_quant8,
transpose_conv2d::is_ignored_nhwc_relu6_quant8,
- transpose_conv2d::examples_nhwc_relu6_quant8);
+ transpose_conv2d::get_examples_nhwc_relu6_quant8());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_relu6_quant8_weight_as_input) {
execute(transpose_conv2d::CreateModel_nhwc_relu6_quant8_weight_as_input,
transpose_conv2d::is_ignored_nhwc_relu6_quant8_weight_as_input,
- transpose_conv2d::examples_nhwc_relu6_quant8_weight_as_input);
+ transpose_conv2d::get_examples_nhwc_relu6_quant8_weight_as_input());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_none) {
execute(transpose_conv2d::CreateModel_nchw_none,
transpose_conv2d::is_ignored_nchw_none,
- transpose_conv2d::examples_nchw_none);
+ transpose_conv2d::get_examples_nchw_none());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_none_weight_as_input) {
execute(transpose_conv2d::CreateModel_nchw_none_weight_as_input,
transpose_conv2d::is_ignored_nchw_none_weight_as_input,
- transpose_conv2d::examples_nchw_none_weight_as_input);
+ transpose_conv2d::get_examples_nchw_none_weight_as_input());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_none_relaxed) {
execute(transpose_conv2d::CreateModel_nchw_none_relaxed,
transpose_conv2d::is_ignored_nchw_none_relaxed,
- transpose_conv2d::examples_nchw_none_relaxed);
+ transpose_conv2d::get_examples_nchw_none_relaxed());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_none_relaxed_weight_as_input) {
execute(transpose_conv2d::CreateModel_nchw_none_relaxed_weight_as_input,
transpose_conv2d::is_ignored_nchw_none_relaxed_weight_as_input,
- transpose_conv2d::examples_nchw_none_relaxed_weight_as_input);
+ transpose_conv2d::get_examples_nchw_none_relaxed_weight_as_input());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_none_quant8) {
execute(transpose_conv2d::CreateModel_nchw_none_quant8,
transpose_conv2d::is_ignored_nchw_none_quant8,
- transpose_conv2d::examples_nchw_none_quant8);
+ transpose_conv2d::get_examples_nchw_none_quant8());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_none_quant8_weight_as_input) {
execute(transpose_conv2d::CreateModel_nchw_none_quant8_weight_as_input,
transpose_conv2d::is_ignored_nchw_none_quant8_weight_as_input,
- transpose_conv2d::examples_nchw_none_quant8_weight_as_input);
+ transpose_conv2d::get_examples_nchw_none_quant8_weight_as_input());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_relu) {
execute(transpose_conv2d::CreateModel_nchw_relu,
transpose_conv2d::is_ignored_nchw_relu,
- transpose_conv2d::examples_nchw_relu);
+ transpose_conv2d::get_examples_nchw_relu());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_relu_weight_as_input) {
execute(transpose_conv2d::CreateModel_nchw_relu_weight_as_input,
transpose_conv2d::is_ignored_nchw_relu_weight_as_input,
- transpose_conv2d::examples_nchw_relu_weight_as_input);
+ transpose_conv2d::get_examples_nchw_relu_weight_as_input());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_relu_relaxed) {
execute(transpose_conv2d::CreateModel_nchw_relu_relaxed,
transpose_conv2d::is_ignored_nchw_relu_relaxed,
- transpose_conv2d::examples_nchw_relu_relaxed);
+ transpose_conv2d::get_examples_nchw_relu_relaxed());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_relu_relaxed_weight_as_input) {
execute(transpose_conv2d::CreateModel_nchw_relu_relaxed_weight_as_input,
transpose_conv2d::is_ignored_nchw_relu_relaxed_weight_as_input,
- transpose_conv2d::examples_nchw_relu_relaxed_weight_as_input);
+ transpose_conv2d::get_examples_nchw_relu_relaxed_weight_as_input());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_relu_quant8) {
execute(transpose_conv2d::CreateModel_nchw_relu_quant8,
transpose_conv2d::is_ignored_nchw_relu_quant8,
- transpose_conv2d::examples_nchw_relu_quant8);
+ transpose_conv2d::get_examples_nchw_relu_quant8());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_relu_quant8_weight_as_input) {
execute(transpose_conv2d::CreateModel_nchw_relu_quant8_weight_as_input,
transpose_conv2d::is_ignored_nchw_relu_quant8_weight_as_input,
- transpose_conv2d::examples_nchw_relu_quant8_weight_as_input);
+ transpose_conv2d::get_examples_nchw_relu_quant8_weight_as_input());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_relu1) {
execute(transpose_conv2d::CreateModel_nchw_relu1,
transpose_conv2d::is_ignored_nchw_relu1,
- transpose_conv2d::examples_nchw_relu1);
+ transpose_conv2d::get_examples_nchw_relu1());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_relu1_weight_as_input) {
execute(transpose_conv2d::CreateModel_nchw_relu1_weight_as_input,
transpose_conv2d::is_ignored_nchw_relu1_weight_as_input,
- transpose_conv2d::examples_nchw_relu1_weight_as_input);
+ transpose_conv2d::get_examples_nchw_relu1_weight_as_input());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_relu1_relaxed) {
execute(transpose_conv2d::CreateModel_nchw_relu1_relaxed,
transpose_conv2d::is_ignored_nchw_relu1_relaxed,
- transpose_conv2d::examples_nchw_relu1_relaxed);
+ transpose_conv2d::get_examples_nchw_relu1_relaxed());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_relu1_relaxed_weight_as_input) {
execute(transpose_conv2d::CreateModel_nchw_relu1_relaxed_weight_as_input,
transpose_conv2d::is_ignored_nchw_relu1_relaxed_weight_as_input,
- transpose_conv2d::examples_nchw_relu1_relaxed_weight_as_input);
+ transpose_conv2d::get_examples_nchw_relu1_relaxed_weight_as_input());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_relu1_quant8) {
execute(transpose_conv2d::CreateModel_nchw_relu1_quant8,
transpose_conv2d::is_ignored_nchw_relu1_quant8,
- transpose_conv2d::examples_nchw_relu1_quant8);
+ transpose_conv2d::get_examples_nchw_relu1_quant8());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_relu1_quant8_weight_as_input) {
execute(transpose_conv2d::CreateModel_nchw_relu1_quant8_weight_as_input,
transpose_conv2d::is_ignored_nchw_relu1_quant8_weight_as_input,
- transpose_conv2d::examples_nchw_relu1_quant8_weight_as_input);
+ transpose_conv2d::get_examples_nchw_relu1_quant8_weight_as_input());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_relu6) {
execute(transpose_conv2d::CreateModel_nchw_relu6,
transpose_conv2d::is_ignored_nchw_relu6,
- transpose_conv2d::examples_nchw_relu6);
+ transpose_conv2d::get_examples_nchw_relu6());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_relu6_weight_as_input) {
execute(transpose_conv2d::CreateModel_nchw_relu6_weight_as_input,
transpose_conv2d::is_ignored_nchw_relu6_weight_as_input,
- transpose_conv2d::examples_nchw_relu6_weight_as_input);
+ transpose_conv2d::get_examples_nchw_relu6_weight_as_input());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_relu6_relaxed) {
execute(transpose_conv2d::CreateModel_nchw_relu6_relaxed,
transpose_conv2d::is_ignored_nchw_relu6_relaxed,
- transpose_conv2d::examples_nchw_relu6_relaxed);
+ transpose_conv2d::get_examples_nchw_relu6_relaxed());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_relu6_relaxed_weight_as_input) {
execute(transpose_conv2d::CreateModel_nchw_relu6_relaxed_weight_as_input,
transpose_conv2d::is_ignored_nchw_relu6_relaxed_weight_as_input,
- transpose_conv2d::examples_nchw_relu6_relaxed_weight_as_input);
+ transpose_conv2d::get_examples_nchw_relu6_relaxed_weight_as_input());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_relu6_quant8) {
execute(transpose_conv2d::CreateModel_nchw_relu6_quant8,
transpose_conv2d::is_ignored_nchw_relu6_quant8,
- transpose_conv2d::examples_nchw_relu6_quant8);
+ transpose_conv2d::get_examples_nchw_relu6_quant8());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_relu6_quant8_weight_as_input) {
execute(transpose_conv2d::CreateModel_nchw_relu6_quant8_weight_as_input,
transpose_conv2d::is_ignored_nchw_relu6_quant8_weight_as_input,
- transpose_conv2d::examples_nchw_relu6_quant8_weight_as_input);
+ transpose_conv2d::get_examples_nchw_relu6_quant8_weight_as_input());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc) {
execute(transpose_conv2d::CreateModel_nhwc,
transpose_conv2d::is_ignored_nhwc,
- transpose_conv2d::examples_nhwc);
+ transpose_conv2d::get_examples_nhwc());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_weight_as_input) {
execute(transpose_conv2d::CreateModel_nhwc_weight_as_input,
transpose_conv2d::is_ignored_nhwc_weight_as_input,
- transpose_conv2d::examples_nhwc_weight_as_input);
+ transpose_conv2d::get_examples_nhwc_weight_as_input());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_relaxed) {
execute(transpose_conv2d::CreateModel_nhwc_relaxed,
transpose_conv2d::is_ignored_nhwc_relaxed,
- transpose_conv2d::examples_nhwc_relaxed);
+ transpose_conv2d::get_examples_nhwc_relaxed());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_relaxed_weight_as_input) {
execute(transpose_conv2d::CreateModel_nhwc_relaxed_weight_as_input,
transpose_conv2d::is_ignored_nhwc_relaxed_weight_as_input,
- transpose_conv2d::examples_nhwc_relaxed_weight_as_input);
+ transpose_conv2d::get_examples_nhwc_relaxed_weight_as_input());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_quant8) {
execute(transpose_conv2d::CreateModel_nhwc_quant8,
transpose_conv2d::is_ignored_nhwc_quant8,
- transpose_conv2d::examples_nhwc_quant8);
+ transpose_conv2d::get_examples_nhwc_quant8());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_quant8_weight_as_input) {
execute(transpose_conv2d::CreateModel_nhwc_quant8_weight_as_input,
transpose_conv2d::is_ignored_nhwc_quant8_weight_as_input,
- transpose_conv2d::examples_nhwc_quant8_weight_as_input);
+ transpose_conv2d::get_examples_nhwc_quant8_weight_as_input());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw) {
execute(transpose_conv2d::CreateModel_nchw,
transpose_conv2d::is_ignored_nchw,
- transpose_conv2d::examples_nchw);
+ transpose_conv2d::get_examples_nchw());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_weight_as_input) {
execute(transpose_conv2d::CreateModel_nchw_weight_as_input,
transpose_conv2d::is_ignored_nchw_weight_as_input,
- transpose_conv2d::examples_nchw_weight_as_input);
+ transpose_conv2d::get_examples_nchw_weight_as_input());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_relaxed) {
execute(transpose_conv2d::CreateModel_nchw_relaxed,
transpose_conv2d::is_ignored_nchw_relaxed,
- transpose_conv2d::examples_nchw_relaxed);
+ transpose_conv2d::get_examples_nchw_relaxed());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_relaxed_weight_as_input) {
execute(transpose_conv2d::CreateModel_nchw_relaxed_weight_as_input,
transpose_conv2d::is_ignored_nchw_relaxed_weight_as_input,
- transpose_conv2d::examples_nchw_relaxed_weight_as_input);
+ transpose_conv2d::get_examples_nchw_relaxed_weight_as_input());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_quant8) {
execute(transpose_conv2d::CreateModel_nchw_quant8,
transpose_conv2d::is_ignored_nchw_quant8,
- transpose_conv2d::examples_nchw_quant8);
+ transpose_conv2d::get_examples_nchw_quant8());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_quant8_weight_as_input) {
execute(transpose_conv2d::CreateModel_nchw_quant8_weight_as_input,
transpose_conv2d::is_ignored_nchw_quant8_weight_as_input,
- transpose_conv2d::examples_nchw_quant8_weight_as_input);
+ transpose_conv2d::get_examples_nchw_quant8_weight_as_input());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_2) {
execute(transpose_conv2d::CreateModel_nhwc_2,
transpose_conv2d::is_ignored_nhwc_2,
- transpose_conv2d::examples_nhwc_2);
+ transpose_conv2d::get_examples_nhwc_2());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_weight_as_input_2) {
execute(transpose_conv2d::CreateModel_nhwc_weight_as_input_2,
transpose_conv2d::is_ignored_nhwc_weight_as_input_2,
- transpose_conv2d::examples_nhwc_weight_as_input_2);
+ transpose_conv2d::get_examples_nhwc_weight_as_input_2());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_relaxed_2) {
execute(transpose_conv2d::CreateModel_nhwc_relaxed_2,
transpose_conv2d::is_ignored_nhwc_relaxed_2,
- transpose_conv2d::examples_nhwc_relaxed_2);
+ transpose_conv2d::get_examples_nhwc_relaxed_2());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_relaxed_weight_as_input_2) {
execute(transpose_conv2d::CreateModel_nhwc_relaxed_weight_as_input_2,
transpose_conv2d::is_ignored_nhwc_relaxed_weight_as_input_2,
- transpose_conv2d::examples_nhwc_relaxed_weight_as_input_2);
+ transpose_conv2d::get_examples_nhwc_relaxed_weight_as_input_2());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_quant8_2) {
execute(transpose_conv2d::CreateModel_nhwc_quant8_2,
transpose_conv2d::is_ignored_nhwc_quant8_2,
- transpose_conv2d::examples_nhwc_quant8_2);
+ transpose_conv2d::get_examples_nhwc_quant8_2());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_quant8_weight_as_input_2) {
execute(transpose_conv2d::CreateModel_nhwc_quant8_weight_as_input_2,
transpose_conv2d::is_ignored_nhwc_quant8_weight_as_input_2,
- transpose_conv2d::examples_nhwc_quant8_weight_as_input_2);
+ transpose_conv2d::get_examples_nhwc_quant8_weight_as_input_2());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_2) {
execute(transpose_conv2d::CreateModel_nchw_2,
transpose_conv2d::is_ignored_nchw_2,
- transpose_conv2d::examples_nchw_2);
+ transpose_conv2d::get_examples_nchw_2());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_weight_as_input_2) {
execute(transpose_conv2d::CreateModel_nchw_weight_as_input_2,
transpose_conv2d::is_ignored_nchw_weight_as_input_2,
- transpose_conv2d::examples_nchw_weight_as_input_2);
+ transpose_conv2d::get_examples_nchw_weight_as_input_2());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_relaxed_2) {
execute(transpose_conv2d::CreateModel_nchw_relaxed_2,
transpose_conv2d::is_ignored_nchw_relaxed_2,
- transpose_conv2d::examples_nchw_relaxed_2);
+ transpose_conv2d::get_examples_nchw_relaxed_2());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_relaxed_weight_as_input_2) {
execute(transpose_conv2d::CreateModel_nchw_relaxed_weight_as_input_2,
transpose_conv2d::is_ignored_nchw_relaxed_weight_as_input_2,
- transpose_conv2d::examples_nchw_relaxed_weight_as_input_2);
+ transpose_conv2d::get_examples_nchw_relaxed_weight_as_input_2());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_quant8_2) {
execute(transpose_conv2d::CreateModel_nchw_quant8_2,
transpose_conv2d::is_ignored_nchw_quant8_2,
- transpose_conv2d::examples_nchw_quant8_2);
+ transpose_conv2d::get_examples_nchw_quant8_2());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_quant8_weight_as_input_2) {
execute(transpose_conv2d::CreateModel_nchw_quant8_weight_as_input_2,
transpose_conv2d::is_ignored_nchw_quant8_weight_as_input_2,
- transpose_conv2d::examples_nchw_quant8_weight_as_input_2);
+ transpose_conv2d::get_examples_nchw_quant8_weight_as_input_2());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_3) {
execute(transpose_conv2d::CreateModel_nhwc_3,
transpose_conv2d::is_ignored_nhwc_3,
- transpose_conv2d::examples_nhwc_3);
+ transpose_conv2d::get_examples_nhwc_3());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_weight_as_input_3) {
execute(transpose_conv2d::CreateModel_nhwc_weight_as_input_3,
transpose_conv2d::is_ignored_nhwc_weight_as_input_3,
- transpose_conv2d::examples_nhwc_weight_as_input_3);
+ transpose_conv2d::get_examples_nhwc_weight_as_input_3());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_relaxed_3) {
execute(transpose_conv2d::CreateModel_nhwc_relaxed_3,
transpose_conv2d::is_ignored_nhwc_relaxed_3,
- transpose_conv2d::examples_nhwc_relaxed_3);
+ transpose_conv2d::get_examples_nhwc_relaxed_3());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_relaxed_weight_as_input_3) {
execute(transpose_conv2d::CreateModel_nhwc_relaxed_weight_as_input_3,
transpose_conv2d::is_ignored_nhwc_relaxed_weight_as_input_3,
- transpose_conv2d::examples_nhwc_relaxed_weight_as_input_3);
+ transpose_conv2d::get_examples_nhwc_relaxed_weight_as_input_3());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_quant8_3) {
execute(transpose_conv2d::CreateModel_nhwc_quant8_3,
transpose_conv2d::is_ignored_nhwc_quant8_3,
- transpose_conv2d::examples_nhwc_quant8_3);
+ transpose_conv2d::get_examples_nhwc_quant8_3());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_quant8_weight_as_input_3) {
execute(transpose_conv2d::CreateModel_nhwc_quant8_weight_as_input_3,
transpose_conv2d::is_ignored_nhwc_quant8_weight_as_input_3,
- transpose_conv2d::examples_nhwc_quant8_weight_as_input_3);
+ transpose_conv2d::get_examples_nhwc_quant8_weight_as_input_3());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_3) {
execute(transpose_conv2d::CreateModel_nchw_3,
transpose_conv2d::is_ignored_nchw_3,
- transpose_conv2d::examples_nchw_3);
+ transpose_conv2d::get_examples_nchw_3());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_weight_as_input_3) {
execute(transpose_conv2d::CreateModel_nchw_weight_as_input_3,
transpose_conv2d::is_ignored_nchw_weight_as_input_3,
- transpose_conv2d::examples_nchw_weight_as_input_3);
+ transpose_conv2d::get_examples_nchw_weight_as_input_3());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_relaxed_3) {
execute(transpose_conv2d::CreateModel_nchw_relaxed_3,
transpose_conv2d::is_ignored_nchw_relaxed_3,
- transpose_conv2d::examples_nchw_relaxed_3);
+ transpose_conv2d::get_examples_nchw_relaxed_3());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_relaxed_weight_as_input_3) {
execute(transpose_conv2d::CreateModel_nchw_relaxed_weight_as_input_3,
transpose_conv2d::is_ignored_nchw_relaxed_weight_as_input_3,
- transpose_conv2d::examples_nchw_relaxed_weight_as_input_3);
+ transpose_conv2d::get_examples_nchw_relaxed_weight_as_input_3());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_quant8_3) {
execute(transpose_conv2d::CreateModel_nchw_quant8_3,
transpose_conv2d::is_ignored_nchw_quant8_3,
- transpose_conv2d::examples_nchw_quant8_3);
+ transpose_conv2d::get_examples_nchw_quant8_3());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_quant8_weight_as_input_3) {
execute(transpose_conv2d::CreateModel_nchw_quant8_weight_as_input_3,
transpose_conv2d::is_ignored_nchw_quant8_weight_as_input_3,
- transpose_conv2d::examples_nchw_quant8_weight_as_input_3);
+ transpose_conv2d::get_examples_nchw_quant8_weight_as_input_3());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_4) {
execute(transpose_conv2d::CreateModel_nhwc_4,
transpose_conv2d::is_ignored_nhwc_4,
- transpose_conv2d::examples_nhwc_4);
+ transpose_conv2d::get_examples_nhwc_4());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_weight_as_input_4) {
execute(transpose_conv2d::CreateModel_nhwc_weight_as_input_4,
transpose_conv2d::is_ignored_nhwc_weight_as_input_4,
- transpose_conv2d::examples_nhwc_weight_as_input_4);
+ transpose_conv2d::get_examples_nhwc_weight_as_input_4());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_relaxed_4) {
execute(transpose_conv2d::CreateModel_nhwc_relaxed_4,
transpose_conv2d::is_ignored_nhwc_relaxed_4,
- transpose_conv2d::examples_nhwc_relaxed_4);
+ transpose_conv2d::get_examples_nhwc_relaxed_4());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_relaxed_weight_as_input_4) {
execute(transpose_conv2d::CreateModel_nhwc_relaxed_weight_as_input_4,
transpose_conv2d::is_ignored_nhwc_relaxed_weight_as_input_4,
- transpose_conv2d::examples_nhwc_relaxed_weight_as_input_4);
+ transpose_conv2d::get_examples_nhwc_relaxed_weight_as_input_4());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_quant8_4) {
execute(transpose_conv2d::CreateModel_nhwc_quant8_4,
transpose_conv2d::is_ignored_nhwc_quant8_4,
- transpose_conv2d::examples_nhwc_quant8_4);
+ transpose_conv2d::get_examples_nhwc_quant8_4());
}
TEST_F(GeneratedTests, transpose_conv2d_nhwc_quant8_weight_as_input_4) {
execute(transpose_conv2d::CreateModel_nhwc_quant8_weight_as_input_4,
transpose_conv2d::is_ignored_nhwc_quant8_weight_as_input_4,
- transpose_conv2d::examples_nhwc_quant8_weight_as_input_4);
+ transpose_conv2d::get_examples_nhwc_quant8_weight_as_input_4());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_4) {
execute(transpose_conv2d::CreateModel_nchw_4,
transpose_conv2d::is_ignored_nchw_4,
- transpose_conv2d::examples_nchw_4);
+ transpose_conv2d::get_examples_nchw_4());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_weight_as_input_4) {
execute(transpose_conv2d::CreateModel_nchw_weight_as_input_4,
transpose_conv2d::is_ignored_nchw_weight_as_input_4,
- transpose_conv2d::examples_nchw_weight_as_input_4);
+ transpose_conv2d::get_examples_nchw_weight_as_input_4());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_relaxed_4) {
execute(transpose_conv2d::CreateModel_nchw_relaxed_4,
transpose_conv2d::is_ignored_nchw_relaxed_4,
- transpose_conv2d::examples_nchw_relaxed_4);
+ transpose_conv2d::get_examples_nchw_relaxed_4());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_relaxed_weight_as_input_4) {
execute(transpose_conv2d::CreateModel_nchw_relaxed_weight_as_input_4,
transpose_conv2d::is_ignored_nchw_relaxed_weight_as_input_4,
- transpose_conv2d::examples_nchw_relaxed_weight_as_input_4);
+ transpose_conv2d::get_examples_nchw_relaxed_weight_as_input_4());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_quant8_4) {
execute(transpose_conv2d::CreateModel_nchw_quant8_4,
transpose_conv2d::is_ignored_nchw_quant8_4,
- transpose_conv2d::examples_nchw_quant8_4);
+ transpose_conv2d::get_examples_nchw_quant8_4());
}
TEST_F(GeneratedTests, transpose_conv2d_nchw_quant8_weight_as_input_4) {
execute(transpose_conv2d::CreateModel_nchw_quant8_weight_as_input_4,
transpose_conv2d::is_ignored_nchw_quant8_weight_as_input_4,
- transpose_conv2d::examples_nchw_quant8_weight_as_input_4);
+ transpose_conv2d::get_examples_nchw_quant8_weight_as_input_4());
}
diff --git a/nn/runtime/test/generated/tests/transpose_float16.mod.py.cpp b/nn/runtime/test/generated/tests/transpose_float16.mod.py.cpp
new file mode 100644
index 0000000..8dac13d
--- /dev/null
+++ b/nn/runtime/test/generated/tests/transpose_float16.mod.py.cpp
@@ -0,0 +1,17 @@
+// clang-format off
+// Generated file (from: transpose_float16.mod.py). Do not edit
+#include "../../TestGenerated.h"
+
+namespace transpose_float16 {
+// Generated transpose_float16 test
+#include "generated/examples/transpose_float16.example.cpp"
+// Generated model constructor
+#include "generated/models/transpose_float16.model.cpp"
+} // namespace transpose_float16
+
+TEST_F(GeneratedTests, transpose_float16) {
+ execute(transpose_float16::CreateModel,
+ transpose_float16::is_ignored,
+ transpose_float16::get_examples());
+}
+
diff --git a/nn/runtime/test/generated/tests/transpose_float_1.mod.py.cpp b/nn/runtime/test/generated/tests/transpose_float_1.mod.py.cpp
index 39ded2a..f247620 100644
--- a/nn/runtime/test/generated/tests/transpose_float_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/transpose_float_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, transpose_float_1) {
execute(transpose_float_1::CreateModel,
transpose_float_1::is_ignored,
- transpose_float_1::examples);
+ transpose_float_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/transpose_float_1_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/transpose_float_1_relaxed.mod.py.cpp
index b4f391b..90093bf 100644
--- a/nn/runtime/test/generated/tests/transpose_float_1_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/transpose_float_1_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, transpose_float_1_relaxed) {
execute(transpose_float_1_relaxed::CreateModel,
transpose_float_1_relaxed::is_ignored,
- transpose_float_1_relaxed::examples);
+ transpose_float_1_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/transpose_quant8_1.mod.py.cpp b/nn/runtime/test/generated/tests/transpose_quant8_1.mod.py.cpp
index a895716..45f08c5 100644
--- a/nn/runtime/test/generated/tests/transpose_quant8_1.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/transpose_quant8_1.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, transpose_quant8_1) {
execute(transpose_quant8_1::CreateModel,
transpose_quant8_1::is_ignored,
- transpose_quant8_1::examples);
+ transpose_quant8_1::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/transpose_relaxed.mod.py.cpp b/nn/runtime/test/generated/tests/transpose_relaxed.mod.py.cpp
index 41a3191..08211dd 100644
--- a/nn/runtime/test/generated/tests/transpose_relaxed.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/transpose_relaxed.mod.py.cpp
@@ -12,6 +12,6 @@
TEST_F(GeneratedTests, transpose_relaxed) {
execute(transpose_relaxed::CreateModel,
transpose_relaxed::is_ignored,
- transpose_relaxed::examples);
+ transpose_relaxed::get_examples());
}
diff --git a/nn/runtime/test/generated/tests/transpose_v1_2.mod.py.cpp b/nn/runtime/test/generated/tests/transpose_v1_2.mod.py.cpp
index 586de6d..132b5b1 100644
--- a/nn/runtime/test/generated/tests/transpose_v1_2.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/transpose_v1_2.mod.py.cpp
@@ -12,18 +12,18 @@
TEST_F(GeneratedTests, transpose_v1_2) {
execute(transpose_v1_2::CreateModel,
transpose_v1_2::is_ignored,
- transpose_v1_2::examples);
+ transpose_v1_2::get_examples());
}
TEST_F(GeneratedTests, transpose_v1_2_relaxed) {
execute(transpose_v1_2::CreateModel_relaxed,
transpose_v1_2::is_ignored_relaxed,
- transpose_v1_2::examples_relaxed);
+ transpose_v1_2::get_examples_relaxed());
}
TEST_F(GeneratedTests, transpose_v1_2_quant8) {
execute(transpose_v1_2::CreateModel_quant8,
transpose_v1_2::is_ignored_quant8,
- transpose_v1_2::examples_quant8);
+ transpose_v1_2::get_examples_quant8());
}
diff --git a/nn/runtime/test/generated/vts_models/abs.model.cpp b/nn/runtime/test/generated/vts_models/abs.model.cpp
new file mode 100644
index 0000000..a903484
--- /dev/null
+++ b/nn/runtime/test/generated/vts_models/abs.model.cpp
@@ -0,0 +1,156 @@
+// clang-format off
+// Generated file (from: abs.mod.py). Do not edit
+// Create the model
+Model createTestModel() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {1, 2, 3, 4, 5},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {1, 2, 3, 4, 5},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ABS,
+ .inputs = {0},
+ .outputs = {1},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {1};
+ std::vector<uint8_t> operandValues = {};
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_relaxed() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {1, 2, 3, 4, 5},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {1, 2, 3, 4, 5},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ABS,
+ .inputs = {0},
+ .outputs = {1},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {1};
+ std::vector<uint8_t> operandValues = {};
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ .relaxComputationFloat32toFloat16 = true,
+ };
+}
+
+inline bool is_ignored_relaxed(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_float16() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 3, 4, 5},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 3, 4, 5},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ABS,
+ .inputs = {0},
+ .outputs = {1},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {1};
+ std::vector<uint8_t> operandValues = {};
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
diff --git a/nn/runtime/test/generated/vts_models/argmax_1.model.cpp b/nn/runtime/test/generated/vts_models/argmax_1.model.cpp
new file mode 100644
index 0000000..adefc6f
--- /dev/null
+++ b/nn/runtime/test/generated/vts_models/argmax_1.model.cpp
@@ -0,0 +1,313 @@
+// clang-format off
+// Generated file (from: argmax_1.mod.py). Do not edit
+// Create the model
+Model createTestModel() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ARGMAX,
+ .inputs = {0, 1},
+ .outputs = {2},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {2};
+ std::vector<uint8_t> operandValues = {
+ 1, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_relaxed() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ARGMAX,
+ .inputs = {0, 1},
+ .outputs = {2},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {2};
+ std::vector<uint8_t> operandValues = {
+ 1, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ .relaxComputationFloat32toFloat16 = true,
+ };
+}
+
+inline bool is_ignored_relaxed(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_float16() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ARGMAX,
+ .inputs = {0, 1},
+ .outputs = {2},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {2};
+ std::vector<uint8_t> operandValues = {
+ 1, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_int32() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ARGMAX,
+ .inputs = {0, 1},
+ .outputs = {2},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {2};
+ std::vector<uint8_t> operandValues = {
+ 1, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_int32(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_quant8() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_QUANT8_ASYMM,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 1.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ARGMAX,
+ .inputs = {0, 1},
+ .outputs = {2},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {2};
+ std::vector<uint8_t> operandValues = {
+ 1, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_quant8(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
diff --git a/nn/runtime/test/generated/vts_models/argmax_1_float.model.cpp b/nn/runtime/test/generated/vts_models/argmax_1_float.model.cpp
deleted file mode 100644
index 191956f..0000000
--- a/nn/runtime/test/generated/vts_models/argmax_1_float.model.cpp
+++ /dev/null
@@ -1,64 +0,0 @@
-// clang-format off
-// Generated file (from: argmax_1_float.mod.py). Do not edit
-// Create the model
-Model createTestModel() {
- const std::vector<Operand> operands = {
- {
- .type = OperandType::TENSOR_FLOAT32,
- .dimensions = {2, 2},
- .numberOfConsumers = 1,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::MODEL_INPUT,
- .location = {.poolIndex = 0, .offset = 0, .length = 0},
- },
- {
- .type = OperandType::INT32,
- .dimensions = {},
- .numberOfConsumers = 1,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::CONSTANT_COPY,
- .location = {.poolIndex = 0, .offset = 0, .length = 4},
- },
- {
- .type = OperandType::TENSOR_INT32,
- .dimensions = {2},
- .numberOfConsumers = 0,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::MODEL_OUTPUT,
- .location = {.poolIndex = 0, .offset = 0, .length = 0},
- }
- };
-
- const std::vector<Operation> operations = {
- {
- .type = OperationType::ARGMAX,
- .inputs = {0, 1},
- .outputs = {2},
- }
- };
-
- const std::vector<uint32_t> inputIndexes = {0};
- const std::vector<uint32_t> outputIndexes = {2};
- std::vector<uint8_t> operandValues = {
- 1, 0, 0, 0
- };
- const std::vector<hidl_memory> pools = {};
-
- return {
- .operands = operands,
- .operations = operations,
- .inputIndexes = inputIndexes,
- .outputIndexes = outputIndexes,
- .operandValues = operandValues,
- .pools = pools,
- };
-}
-
-inline bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}
-
diff --git a/nn/runtime/test/generated/vts_models/argmax_1_float_relaxed.model.cpp b/nn/runtime/test/generated/vts_models/argmax_1_float_relaxed.model.cpp
deleted file mode 100644
index ac44cdb..0000000
--- a/nn/runtime/test/generated/vts_models/argmax_1_float_relaxed.model.cpp
+++ /dev/null
@@ -1,65 +0,0 @@
-// clang-format off
-// Generated file (from: argmax_1_float_relaxed.mod.py). Do not edit
-// Create the model
-Model createTestModel() {
- const std::vector<Operand> operands = {
- {
- .type = OperandType::TENSOR_FLOAT32,
- .dimensions = {2, 2},
- .numberOfConsumers = 1,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::MODEL_INPUT,
- .location = {.poolIndex = 0, .offset = 0, .length = 0},
- },
- {
- .type = OperandType::INT32,
- .dimensions = {},
- .numberOfConsumers = 1,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::CONSTANT_COPY,
- .location = {.poolIndex = 0, .offset = 0, .length = 4},
- },
- {
- .type = OperandType::TENSOR_INT32,
- .dimensions = {2},
- .numberOfConsumers = 0,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::MODEL_OUTPUT,
- .location = {.poolIndex = 0, .offset = 0, .length = 0},
- }
- };
-
- const std::vector<Operation> operations = {
- {
- .type = OperationType::ARGMAX,
- .inputs = {0, 1},
- .outputs = {2},
- }
- };
-
- const std::vector<uint32_t> inputIndexes = {0};
- const std::vector<uint32_t> outputIndexes = {2};
- std::vector<uint8_t> operandValues = {
- 1, 0, 0, 0
- };
- const std::vector<hidl_memory> pools = {};
-
- return {
- .operands = operands,
- .operations = operations,
- .inputIndexes = inputIndexes,
- .outputIndexes = outputIndexes,
- .operandValues = operandValues,
- .pools = pools,
- .relaxComputationFloat32toFloat16 = true,
- };
-}
-
-inline bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}
-
diff --git a/nn/runtime/test/generated/vts_models/argmax_1_int32.model.cpp b/nn/runtime/test/generated/vts_models/argmax_1_int32.model.cpp
deleted file mode 100644
index 3d7cba2..0000000
--- a/nn/runtime/test/generated/vts_models/argmax_1_int32.model.cpp
+++ /dev/null
@@ -1,64 +0,0 @@
-// clang-format off
-// Generated file (from: argmax_1_int32.mod.py). Do not edit
-// Create the model
-Model createTestModel() {
- const std::vector<Operand> operands = {
- {
- .type = OperandType::TENSOR_INT32,
- .dimensions = {2, 2},
- .numberOfConsumers = 1,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::MODEL_INPUT,
- .location = {.poolIndex = 0, .offset = 0, .length = 0},
- },
- {
- .type = OperandType::INT32,
- .dimensions = {},
- .numberOfConsumers = 1,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::CONSTANT_COPY,
- .location = {.poolIndex = 0, .offset = 0, .length = 4},
- },
- {
- .type = OperandType::TENSOR_INT32,
- .dimensions = {2},
- .numberOfConsumers = 0,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::MODEL_OUTPUT,
- .location = {.poolIndex = 0, .offset = 0, .length = 0},
- }
- };
-
- const std::vector<Operation> operations = {
- {
- .type = OperationType::ARGMAX,
- .inputs = {0, 1},
- .outputs = {2},
- }
- };
-
- const std::vector<uint32_t> inputIndexes = {0};
- const std::vector<uint32_t> outputIndexes = {2};
- std::vector<uint8_t> operandValues = {
- 1, 0, 0, 0
- };
- const std::vector<hidl_memory> pools = {};
-
- return {
- .operands = operands,
- .operations = operations,
- .inputIndexes = inputIndexes,
- .outputIndexes = outputIndexes,
- .operandValues = operandValues,
- .pools = pools,
- };
-}
-
-inline bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}
-
diff --git a/nn/runtime/test/generated/vts_models/argmax_1_quant8.model.cpp b/nn/runtime/test/generated/vts_models/argmax_1_quant8.model.cpp
deleted file mode 100644
index 43a3aa6..0000000
--- a/nn/runtime/test/generated/vts_models/argmax_1_quant8.model.cpp
+++ /dev/null
@@ -1,64 +0,0 @@
-// clang-format off
-// Generated file (from: argmax_1_quant8.mod.py). Do not edit
-// Create the model
-Model createTestModel() {
- const std::vector<Operand> operands = {
- {
- .type = OperandType::TENSOR_QUANT8_ASYMM,
- .dimensions = {2, 2},
- .numberOfConsumers = 1,
- .scale = 1.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::MODEL_INPUT,
- .location = {.poolIndex = 0, .offset = 0, .length = 0},
- },
- {
- .type = OperandType::INT32,
- .dimensions = {},
- .numberOfConsumers = 1,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::CONSTANT_COPY,
- .location = {.poolIndex = 0, .offset = 0, .length = 4},
- },
- {
- .type = OperandType::TENSOR_INT32,
- .dimensions = {2},
- .numberOfConsumers = 0,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::MODEL_OUTPUT,
- .location = {.poolIndex = 0, .offset = 0, .length = 0},
- }
- };
-
- const std::vector<Operation> operations = {
- {
- .type = OperationType::ARGMAX,
- .inputs = {0, 1},
- .outputs = {2},
- }
- };
-
- const std::vector<uint32_t> inputIndexes = {0};
- const std::vector<uint32_t> outputIndexes = {2};
- std::vector<uint8_t> operandValues = {
- 1, 0, 0, 0
- };
- const std::vector<hidl_memory> pools = {};
-
- return {
- .operands = operands,
- .operations = operations,
- .inputIndexes = inputIndexes,
- .outputIndexes = outputIndexes,
- .operandValues = operandValues,
- .pools = pools,
- };
-}
-
-inline bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}
-
diff --git a/nn/runtime/test/generated/vts_models/argmax_2.model.cpp b/nn/runtime/test/generated/vts_models/argmax_2.model.cpp
new file mode 100644
index 0000000..ec9eb3f
--- /dev/null
+++ b/nn/runtime/test/generated/vts_models/argmax_2.model.cpp
@@ -0,0 +1,313 @@
+// clang-format off
+// Generated file (from: argmax_2.mod.py). Do not edit
+// Create the model
+Model createTestModel() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ARGMAX,
+ .inputs = {0, 1},
+ .outputs = {2},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {2};
+ std::vector<uint8_t> operandValues = {
+ 0, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_relaxed() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ARGMAX,
+ .inputs = {0, 1},
+ .outputs = {2},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {2};
+ std::vector<uint8_t> operandValues = {
+ 0, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ .relaxComputationFloat32toFloat16 = true,
+ };
+}
+
+inline bool is_ignored_relaxed(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_float16() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ARGMAX,
+ .inputs = {0, 1},
+ .outputs = {2},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {2};
+ std::vector<uint8_t> operandValues = {
+ 0, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_int32() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ARGMAX,
+ .inputs = {0, 1},
+ .outputs = {2},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {2};
+ std::vector<uint8_t> operandValues = {
+ 0, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_int32(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_quant8() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_QUANT8_ASYMM,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 1.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ARGMAX,
+ .inputs = {0, 1},
+ .outputs = {2},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {2};
+ std::vector<uint8_t> operandValues = {
+ 0, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_quant8(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
diff --git a/nn/runtime/test/generated/vts_models/argmax_2_float.model.cpp b/nn/runtime/test/generated/vts_models/argmax_2_float.model.cpp
deleted file mode 100644
index 8778262..0000000
--- a/nn/runtime/test/generated/vts_models/argmax_2_float.model.cpp
+++ /dev/null
@@ -1,64 +0,0 @@
-// clang-format off
-// Generated file (from: argmax_2_float.mod.py). Do not edit
-// Create the model
-Model createTestModel() {
- const std::vector<Operand> operands = {
- {
- .type = OperandType::TENSOR_FLOAT32,
- .dimensions = {2, 2},
- .numberOfConsumers = 1,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::MODEL_INPUT,
- .location = {.poolIndex = 0, .offset = 0, .length = 0},
- },
- {
- .type = OperandType::INT32,
- .dimensions = {},
- .numberOfConsumers = 1,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::CONSTANT_COPY,
- .location = {.poolIndex = 0, .offset = 0, .length = 4},
- },
- {
- .type = OperandType::TENSOR_INT32,
- .dimensions = {2},
- .numberOfConsumers = 0,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::MODEL_OUTPUT,
- .location = {.poolIndex = 0, .offset = 0, .length = 0},
- }
- };
-
- const std::vector<Operation> operations = {
- {
- .type = OperationType::ARGMAX,
- .inputs = {0, 1},
- .outputs = {2},
- }
- };
-
- const std::vector<uint32_t> inputIndexes = {0};
- const std::vector<uint32_t> outputIndexes = {2};
- std::vector<uint8_t> operandValues = {
- 0, 0, 0, 0
- };
- const std::vector<hidl_memory> pools = {};
-
- return {
- .operands = operands,
- .operations = operations,
- .inputIndexes = inputIndexes,
- .outputIndexes = outputIndexes,
- .operandValues = operandValues,
- .pools = pools,
- };
-}
-
-inline bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}
-
diff --git a/nn/runtime/test/generated/vts_models/argmax_2_int32.model.cpp b/nn/runtime/test/generated/vts_models/argmax_2_int32.model.cpp
deleted file mode 100644
index 741bf18..0000000
--- a/nn/runtime/test/generated/vts_models/argmax_2_int32.model.cpp
+++ /dev/null
@@ -1,64 +0,0 @@
-// clang-format off
-// Generated file (from: argmax_2_int32.mod.py). Do not edit
-// Create the model
-Model createTestModel() {
- const std::vector<Operand> operands = {
- {
- .type = OperandType::TENSOR_INT32,
- .dimensions = {2, 2},
- .numberOfConsumers = 1,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::MODEL_INPUT,
- .location = {.poolIndex = 0, .offset = 0, .length = 0},
- },
- {
- .type = OperandType::INT32,
- .dimensions = {},
- .numberOfConsumers = 1,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::CONSTANT_COPY,
- .location = {.poolIndex = 0, .offset = 0, .length = 4},
- },
- {
- .type = OperandType::TENSOR_INT32,
- .dimensions = {2},
- .numberOfConsumers = 0,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::MODEL_OUTPUT,
- .location = {.poolIndex = 0, .offset = 0, .length = 0},
- }
- };
-
- const std::vector<Operation> operations = {
- {
- .type = OperationType::ARGMAX,
- .inputs = {0, 1},
- .outputs = {2},
- }
- };
-
- const std::vector<uint32_t> inputIndexes = {0};
- const std::vector<uint32_t> outputIndexes = {2};
- std::vector<uint8_t> operandValues = {
- 0, 0, 0, 0
- };
- const std::vector<hidl_memory> pools = {};
-
- return {
- .operands = operands,
- .operations = operations,
- .inputIndexes = inputIndexes,
- .outputIndexes = outputIndexes,
- .operandValues = operandValues,
- .pools = pools,
- };
-}
-
-inline bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}
-
diff --git a/nn/runtime/test/generated/vts_models/argmax_2_quant8.model.cpp b/nn/runtime/test/generated/vts_models/argmax_2_quant8.model.cpp
deleted file mode 100644
index df22a3e..0000000
--- a/nn/runtime/test/generated/vts_models/argmax_2_quant8.model.cpp
+++ /dev/null
@@ -1,64 +0,0 @@
-// clang-format off
-// Generated file (from: argmax_2_quant8.mod.py). Do not edit
-// Create the model
-Model createTestModel() {
- const std::vector<Operand> operands = {
- {
- .type = OperandType::TENSOR_QUANT8_ASYMM,
- .dimensions = {2, 2},
- .numberOfConsumers = 1,
- .scale = 1.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::MODEL_INPUT,
- .location = {.poolIndex = 0, .offset = 0, .length = 0},
- },
- {
- .type = OperandType::INT32,
- .dimensions = {},
- .numberOfConsumers = 1,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::CONSTANT_COPY,
- .location = {.poolIndex = 0, .offset = 0, .length = 4},
- },
- {
- .type = OperandType::TENSOR_INT32,
- .dimensions = {2},
- .numberOfConsumers = 0,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::MODEL_OUTPUT,
- .location = {.poolIndex = 0, .offset = 0, .length = 0},
- }
- };
-
- const std::vector<Operation> operations = {
- {
- .type = OperationType::ARGMAX,
- .inputs = {0, 1},
- .outputs = {2},
- }
- };
-
- const std::vector<uint32_t> inputIndexes = {0};
- const std::vector<uint32_t> outputIndexes = {2};
- std::vector<uint8_t> operandValues = {
- 0, 0, 0, 0
- };
- const std::vector<hidl_memory> pools = {};
-
- return {
- .operands = operands,
- .operations = operations,
- .inputIndexes = inputIndexes,
- .outputIndexes = outputIndexes,
- .operandValues = operandValues,
- .pools = pools,
- };
-}
-
-inline bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}
-
diff --git a/nn/runtime/test/generated/vts_models/argmax_3.model.cpp b/nn/runtime/test/generated/vts_models/argmax_3.model.cpp
new file mode 100644
index 0000000..9377585
--- /dev/null
+++ b/nn/runtime/test/generated/vts_models/argmax_3.model.cpp
@@ -0,0 +1,313 @@
+// clang-format off
+// Generated file (from: argmax_3.mod.py). Do not edit
+// Create the model
+Model createTestModel() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ARGMAX,
+ .inputs = {0, 1},
+ .outputs = {2},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {2};
+ std::vector<uint8_t> operandValues = {
+ 255, 255, 255, 255
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_relaxed() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ARGMAX,
+ .inputs = {0, 1},
+ .outputs = {2},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {2};
+ std::vector<uint8_t> operandValues = {
+ 255, 255, 255, 255
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ .relaxComputationFloat32toFloat16 = true,
+ };
+}
+
+inline bool is_ignored_relaxed(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_float16() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ARGMAX,
+ .inputs = {0, 1},
+ .outputs = {2},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {2};
+ std::vector<uint8_t> operandValues = {
+ 255, 255, 255, 255
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_int32() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ARGMAX,
+ .inputs = {0, 1},
+ .outputs = {2},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {2};
+ std::vector<uint8_t> operandValues = {
+ 255, 255, 255, 255
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_int32(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_quant8() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_QUANT8_ASYMM,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 1.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ARGMAX,
+ .inputs = {0, 1},
+ .outputs = {2},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {2};
+ std::vector<uint8_t> operandValues = {
+ 255, 255, 255, 255
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_quant8(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
diff --git a/nn/runtime/test/generated/vts_models/argmin_1.model.cpp b/nn/runtime/test/generated/vts_models/argmin_1.model.cpp
new file mode 100644
index 0000000..456496f
--- /dev/null
+++ b/nn/runtime/test/generated/vts_models/argmin_1.model.cpp
@@ -0,0 +1,313 @@
+// clang-format off
+// Generated file (from: argmin_1.mod.py). Do not edit
+// Create the model
+Model createTestModel() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ARGMIN,
+ .inputs = {0, 1},
+ .outputs = {2},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {2};
+ std::vector<uint8_t> operandValues = {
+ 1, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_relaxed() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ARGMIN,
+ .inputs = {0, 1},
+ .outputs = {2},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {2};
+ std::vector<uint8_t> operandValues = {
+ 1, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ .relaxComputationFloat32toFloat16 = true,
+ };
+}
+
+inline bool is_ignored_relaxed(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_float16() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ARGMIN,
+ .inputs = {0, 1},
+ .outputs = {2},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {2};
+ std::vector<uint8_t> operandValues = {
+ 1, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_int32() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ARGMIN,
+ .inputs = {0, 1},
+ .outputs = {2},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {2};
+ std::vector<uint8_t> operandValues = {
+ 1, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_int32(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_quant8() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_QUANT8_ASYMM,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 1.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ARGMIN,
+ .inputs = {0, 1},
+ .outputs = {2},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {2};
+ std::vector<uint8_t> operandValues = {
+ 1, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_quant8(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
diff --git a/nn/runtime/test/generated/vts_models/argmin_1_float.model.cpp b/nn/runtime/test/generated/vts_models/argmin_1_float.model.cpp
deleted file mode 100644
index e111404..0000000
--- a/nn/runtime/test/generated/vts_models/argmin_1_float.model.cpp
+++ /dev/null
@@ -1,64 +0,0 @@
-// clang-format off
-// Generated file (from: argmin_1_float.mod.py). Do not edit
-// Create the model
-Model createTestModel() {
- const std::vector<Operand> operands = {
- {
- .type = OperandType::TENSOR_FLOAT32,
- .dimensions = {2, 2},
- .numberOfConsumers = 1,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::MODEL_INPUT,
- .location = {.poolIndex = 0, .offset = 0, .length = 0},
- },
- {
- .type = OperandType::INT32,
- .dimensions = {},
- .numberOfConsumers = 1,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::CONSTANT_COPY,
- .location = {.poolIndex = 0, .offset = 0, .length = 4},
- },
- {
- .type = OperandType::TENSOR_INT32,
- .dimensions = {2},
- .numberOfConsumers = 0,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::MODEL_OUTPUT,
- .location = {.poolIndex = 0, .offset = 0, .length = 0},
- }
- };
-
- const std::vector<Operation> operations = {
- {
- .type = OperationType::ARGMIN,
- .inputs = {0, 1},
- .outputs = {2},
- }
- };
-
- const std::vector<uint32_t> inputIndexes = {0};
- const std::vector<uint32_t> outputIndexes = {2};
- std::vector<uint8_t> operandValues = {
- 1, 0, 0, 0
- };
- const std::vector<hidl_memory> pools = {};
-
- return {
- .operands = operands,
- .operations = operations,
- .inputIndexes = inputIndexes,
- .outputIndexes = outputIndexes,
- .operandValues = operandValues,
- .pools = pools,
- };
-}
-
-inline bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}
-
diff --git a/nn/runtime/test/generated/vts_models/argmin_1_float_relaxed.model.cpp b/nn/runtime/test/generated/vts_models/argmin_1_float_relaxed.model.cpp
deleted file mode 100644
index fde01be..0000000
--- a/nn/runtime/test/generated/vts_models/argmin_1_float_relaxed.model.cpp
+++ /dev/null
@@ -1,65 +0,0 @@
-// clang-format off
-// Generated file (from: argmin_1_float_relaxed.mod.py). Do not edit
-// Create the model
-Model createTestModel() {
- const std::vector<Operand> operands = {
- {
- .type = OperandType::TENSOR_FLOAT32,
- .dimensions = {2, 2},
- .numberOfConsumers = 1,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::MODEL_INPUT,
- .location = {.poolIndex = 0, .offset = 0, .length = 0},
- },
- {
- .type = OperandType::INT32,
- .dimensions = {},
- .numberOfConsumers = 1,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::CONSTANT_COPY,
- .location = {.poolIndex = 0, .offset = 0, .length = 4},
- },
- {
- .type = OperandType::TENSOR_INT32,
- .dimensions = {2},
- .numberOfConsumers = 0,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::MODEL_OUTPUT,
- .location = {.poolIndex = 0, .offset = 0, .length = 0},
- }
- };
-
- const std::vector<Operation> operations = {
- {
- .type = OperationType::ARGMIN,
- .inputs = {0, 1},
- .outputs = {2},
- }
- };
-
- const std::vector<uint32_t> inputIndexes = {0};
- const std::vector<uint32_t> outputIndexes = {2};
- std::vector<uint8_t> operandValues = {
- 1, 0, 0, 0
- };
- const std::vector<hidl_memory> pools = {};
-
- return {
- .operands = operands,
- .operations = operations,
- .inputIndexes = inputIndexes,
- .outputIndexes = outputIndexes,
- .operandValues = operandValues,
- .pools = pools,
- .relaxComputationFloat32toFloat16 = true,
- };
-}
-
-inline bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}
-
diff --git a/nn/runtime/test/generated/vts_models/argmin_1_quant8.model.cpp b/nn/runtime/test/generated/vts_models/argmin_1_quant8.model.cpp
deleted file mode 100644
index 36b8e3c..0000000
--- a/nn/runtime/test/generated/vts_models/argmin_1_quant8.model.cpp
+++ /dev/null
@@ -1,64 +0,0 @@
-// clang-format off
-// Generated file (from: argmin_1_quant8.mod.py). Do not edit
-// Create the model
-Model createTestModel() {
- const std::vector<Operand> operands = {
- {
- .type = OperandType::TENSOR_QUANT8_ASYMM,
- .dimensions = {2, 2},
- .numberOfConsumers = 1,
- .scale = 1.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::MODEL_INPUT,
- .location = {.poolIndex = 0, .offset = 0, .length = 0},
- },
- {
- .type = OperandType::INT32,
- .dimensions = {},
- .numberOfConsumers = 1,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::CONSTANT_COPY,
- .location = {.poolIndex = 0, .offset = 0, .length = 4},
- },
- {
- .type = OperandType::TENSOR_INT32,
- .dimensions = {2},
- .numberOfConsumers = 0,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::MODEL_OUTPUT,
- .location = {.poolIndex = 0, .offset = 0, .length = 0},
- }
- };
-
- const std::vector<Operation> operations = {
- {
- .type = OperationType::ARGMIN,
- .inputs = {0, 1},
- .outputs = {2},
- }
- };
-
- const std::vector<uint32_t> inputIndexes = {0};
- const std::vector<uint32_t> outputIndexes = {2};
- std::vector<uint8_t> operandValues = {
- 1, 0, 0, 0
- };
- const std::vector<hidl_memory> pools = {};
-
- return {
- .operands = operands,
- .operations = operations,
- .inputIndexes = inputIndexes,
- .outputIndexes = outputIndexes,
- .operandValues = operandValues,
- .pools = pools,
- };
-}
-
-inline bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}
-
diff --git a/nn/runtime/test/generated/vts_models/argmin_2.model.cpp b/nn/runtime/test/generated/vts_models/argmin_2.model.cpp
new file mode 100644
index 0000000..8022c9d
--- /dev/null
+++ b/nn/runtime/test/generated/vts_models/argmin_2.model.cpp
@@ -0,0 +1,313 @@
+// clang-format off
+// Generated file (from: argmin_2.mod.py). Do not edit
+// Create the model
+Model createTestModel() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ARGMIN,
+ .inputs = {0, 1},
+ .outputs = {2},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {2};
+ std::vector<uint8_t> operandValues = {
+ 0, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_relaxed() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ARGMIN,
+ .inputs = {0, 1},
+ .outputs = {2},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {2};
+ std::vector<uint8_t> operandValues = {
+ 0, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ .relaxComputationFloat32toFloat16 = true,
+ };
+}
+
+inline bool is_ignored_relaxed(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_float16() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ARGMIN,
+ .inputs = {0, 1},
+ .outputs = {2},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {2};
+ std::vector<uint8_t> operandValues = {
+ 0, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_int32() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ARGMIN,
+ .inputs = {0, 1},
+ .outputs = {2},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {2};
+ std::vector<uint8_t> operandValues = {
+ 0, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_int32(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_quant8() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_QUANT8_ASYMM,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 1.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ARGMIN,
+ .inputs = {0, 1},
+ .outputs = {2},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {2};
+ std::vector<uint8_t> operandValues = {
+ 0, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_quant8(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
diff --git a/nn/runtime/test/generated/vts_models/argmin_2_float.model.cpp b/nn/runtime/test/generated/vts_models/argmin_2_float.model.cpp
deleted file mode 100644
index 22cb9ae..0000000
--- a/nn/runtime/test/generated/vts_models/argmin_2_float.model.cpp
+++ /dev/null
@@ -1,64 +0,0 @@
-// clang-format off
-// Generated file (from: argmin_2_float.mod.py). Do not edit
-// Create the model
-Model createTestModel() {
- const std::vector<Operand> operands = {
- {
- .type = OperandType::TENSOR_FLOAT32,
- .dimensions = {2, 2},
- .numberOfConsumers = 1,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::MODEL_INPUT,
- .location = {.poolIndex = 0, .offset = 0, .length = 0},
- },
- {
- .type = OperandType::INT32,
- .dimensions = {},
- .numberOfConsumers = 1,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::CONSTANT_COPY,
- .location = {.poolIndex = 0, .offset = 0, .length = 4},
- },
- {
- .type = OperandType::TENSOR_INT32,
- .dimensions = {2},
- .numberOfConsumers = 0,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::MODEL_OUTPUT,
- .location = {.poolIndex = 0, .offset = 0, .length = 0},
- }
- };
-
- const std::vector<Operation> operations = {
- {
- .type = OperationType::ARGMIN,
- .inputs = {0, 1},
- .outputs = {2},
- }
- };
-
- const std::vector<uint32_t> inputIndexes = {0};
- const std::vector<uint32_t> outputIndexes = {2};
- std::vector<uint8_t> operandValues = {
- 0, 0, 0, 0
- };
- const std::vector<hidl_memory> pools = {};
-
- return {
- .operands = operands,
- .operations = operations,
- .inputIndexes = inputIndexes,
- .outputIndexes = outputIndexes,
- .operandValues = operandValues,
- .pools = pools,
- };
-}
-
-inline bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}
-
diff --git a/nn/runtime/test/generated/vts_models/argmin_2_float_relaxed.model.cpp b/nn/runtime/test/generated/vts_models/argmin_2_float_relaxed.model.cpp
deleted file mode 100644
index 612526c..0000000
--- a/nn/runtime/test/generated/vts_models/argmin_2_float_relaxed.model.cpp
+++ /dev/null
@@ -1,65 +0,0 @@
-// clang-format off
-// Generated file (from: argmin_2_float_relaxed.mod.py). Do not edit
-// Create the model
-Model createTestModel() {
- const std::vector<Operand> operands = {
- {
- .type = OperandType::TENSOR_FLOAT32,
- .dimensions = {2, 2},
- .numberOfConsumers = 1,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::MODEL_INPUT,
- .location = {.poolIndex = 0, .offset = 0, .length = 0},
- },
- {
- .type = OperandType::INT32,
- .dimensions = {},
- .numberOfConsumers = 1,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::CONSTANT_COPY,
- .location = {.poolIndex = 0, .offset = 0, .length = 4},
- },
- {
- .type = OperandType::TENSOR_INT32,
- .dimensions = {2},
- .numberOfConsumers = 0,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::MODEL_OUTPUT,
- .location = {.poolIndex = 0, .offset = 0, .length = 0},
- }
- };
-
- const std::vector<Operation> operations = {
- {
- .type = OperationType::ARGMIN,
- .inputs = {0, 1},
- .outputs = {2},
- }
- };
-
- const std::vector<uint32_t> inputIndexes = {0};
- const std::vector<uint32_t> outputIndexes = {2};
- std::vector<uint8_t> operandValues = {
- 0, 0, 0, 0
- };
- const std::vector<hidl_memory> pools = {};
-
- return {
- .operands = operands,
- .operations = operations,
- .inputIndexes = inputIndexes,
- .outputIndexes = outputIndexes,
- .operandValues = operandValues,
- .pools = pools,
- .relaxComputationFloat32toFloat16 = true,
- };
-}
-
-inline bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}
-
diff --git a/nn/runtime/test/generated/vts_models/argmin_2_int32.model.cpp b/nn/runtime/test/generated/vts_models/argmin_2_int32.model.cpp
deleted file mode 100644
index c03fdb0..0000000
--- a/nn/runtime/test/generated/vts_models/argmin_2_int32.model.cpp
+++ /dev/null
@@ -1,64 +0,0 @@
-// clang-format off
-// Generated file (from: argmin_2_int32.mod.py). Do not edit
-// Create the model
-Model createTestModel() {
- const std::vector<Operand> operands = {
- {
- .type = OperandType::TENSOR_INT32,
- .dimensions = {2, 2},
- .numberOfConsumers = 1,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::MODEL_INPUT,
- .location = {.poolIndex = 0, .offset = 0, .length = 0},
- },
- {
- .type = OperandType::INT32,
- .dimensions = {},
- .numberOfConsumers = 1,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::CONSTANT_COPY,
- .location = {.poolIndex = 0, .offset = 0, .length = 4},
- },
- {
- .type = OperandType::TENSOR_INT32,
- .dimensions = {2},
- .numberOfConsumers = 0,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::MODEL_OUTPUT,
- .location = {.poolIndex = 0, .offset = 0, .length = 0},
- }
- };
-
- const std::vector<Operation> operations = {
- {
- .type = OperationType::ARGMIN,
- .inputs = {0, 1},
- .outputs = {2},
- }
- };
-
- const std::vector<uint32_t> inputIndexes = {0};
- const std::vector<uint32_t> outputIndexes = {2};
- std::vector<uint8_t> operandValues = {
- 0, 0, 0, 0
- };
- const std::vector<hidl_memory> pools = {};
-
- return {
- .operands = operands,
- .operations = operations,
- .inputIndexes = inputIndexes,
- .outputIndexes = outputIndexes,
- .operandValues = operandValues,
- .pools = pools,
- };
-}
-
-inline bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}
-
diff --git a/nn/runtime/test/generated/vts_models/argmin_2_quant8.model.cpp b/nn/runtime/test/generated/vts_models/argmin_2_quant8.model.cpp
deleted file mode 100644
index ec7c35e..0000000
--- a/nn/runtime/test/generated/vts_models/argmin_2_quant8.model.cpp
+++ /dev/null
@@ -1,64 +0,0 @@
-// clang-format off
-// Generated file (from: argmin_2_quant8.mod.py). Do not edit
-// Create the model
-Model createTestModel() {
- const std::vector<Operand> operands = {
- {
- .type = OperandType::TENSOR_QUANT8_ASYMM,
- .dimensions = {2, 2},
- .numberOfConsumers = 1,
- .scale = 1.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::MODEL_INPUT,
- .location = {.poolIndex = 0, .offset = 0, .length = 0},
- },
- {
- .type = OperandType::INT32,
- .dimensions = {},
- .numberOfConsumers = 1,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::CONSTANT_COPY,
- .location = {.poolIndex = 0, .offset = 0, .length = 4},
- },
- {
- .type = OperandType::TENSOR_INT32,
- .dimensions = {2},
- .numberOfConsumers = 0,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::MODEL_OUTPUT,
- .location = {.poolIndex = 0, .offset = 0, .length = 0},
- }
- };
-
- const std::vector<Operation> operations = {
- {
- .type = OperationType::ARGMIN,
- .inputs = {0, 1},
- .outputs = {2},
- }
- };
-
- const std::vector<uint32_t> inputIndexes = {0};
- const std::vector<uint32_t> outputIndexes = {2};
- std::vector<uint8_t> operandValues = {
- 0, 0, 0, 0
- };
- const std::vector<hidl_memory> pools = {};
-
- return {
- .operands = operands,
- .operations = operations,
- .inputIndexes = inputIndexes,
- .outputIndexes = outputIndexes,
- .operandValues = operandValues,
- .pools = pools,
- };
-}
-
-inline bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}
-
diff --git a/nn/runtime/test/generated/vts_models/argmin_3.model.cpp b/nn/runtime/test/generated/vts_models/argmin_3.model.cpp
new file mode 100644
index 0000000..ab53fbb
--- /dev/null
+++ b/nn/runtime/test/generated/vts_models/argmin_3.model.cpp
@@ -0,0 +1,313 @@
+// clang-format off
+// Generated file (from: argmin_3.mod.py). Do not edit
+// Create the model
+Model createTestModel() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ARGMIN,
+ .inputs = {0, 1},
+ .outputs = {2},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {2};
+ std::vector<uint8_t> operandValues = {
+ 255, 255, 255, 255
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_relaxed() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ARGMIN,
+ .inputs = {0, 1},
+ .outputs = {2},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {2};
+ std::vector<uint8_t> operandValues = {
+ 255, 255, 255, 255
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ .relaxComputationFloat32toFloat16 = true,
+ };
+}
+
+inline bool is_ignored_relaxed(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_float16() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ARGMIN,
+ .inputs = {0, 1},
+ .outputs = {2},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {2};
+ std::vector<uint8_t> operandValues = {
+ 255, 255, 255, 255
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_int32() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ARGMIN,
+ .inputs = {0, 1},
+ .outputs = {2},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {2};
+ std::vector<uint8_t> operandValues = {
+ 255, 255, 255, 255
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_int32(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_quant8() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_QUANT8_ASYMM,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 1.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ARGMIN,
+ .inputs = {0, 1},
+ .outputs = {2},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {2};
+ std::vector<uint8_t> operandValues = {
+ 255, 255, 255, 255
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_quant8(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
diff --git a/nn/runtime/test/generated/vts_models/argmin_3_float.model.cpp b/nn/runtime/test/generated/vts_models/argmin_3_float.model.cpp
deleted file mode 100644
index 881272e..0000000
--- a/nn/runtime/test/generated/vts_models/argmin_3_float.model.cpp
+++ /dev/null
@@ -1,64 +0,0 @@
-// clang-format off
-// Generated file (from: argmin_3_float.mod.py). Do not edit
-// Create the model
-Model createTestModel() {
- const std::vector<Operand> operands = {
- {
- .type = OperandType::TENSOR_FLOAT32,
- .dimensions = {2, 2},
- .numberOfConsumers = 1,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::MODEL_INPUT,
- .location = {.poolIndex = 0, .offset = 0, .length = 0},
- },
- {
- .type = OperandType::INT32,
- .dimensions = {},
- .numberOfConsumers = 1,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::CONSTANT_COPY,
- .location = {.poolIndex = 0, .offset = 0, .length = 4},
- },
- {
- .type = OperandType::TENSOR_INT32,
- .dimensions = {2},
- .numberOfConsumers = 0,
- .scale = 0.0f,
- .zeroPoint = 0,
- .lifetime = OperandLifeTime::MODEL_OUTPUT,
- .location = {.poolIndex = 0, .offset = 0, .length = 0},
- }
- };
-
- const std::vector<Operation> operations = {
- {
- .type = OperationType::ARGMIN,
- .inputs = {0, 1},
- .outputs = {2},
- }
- };
-
- const std::vector<uint32_t> inputIndexes = {0};
- const std::vector<uint32_t> outputIndexes = {2};
- std::vector<uint8_t> operandValues = {
- 255, 255, 255, 255
- };
- const std::vector<hidl_memory> pools = {};
-
- return {
- .operands = operands,
- .operations = operations,
- .inputIndexes = inputIndexes,
- .outputIndexes = outputIndexes,
- .operandValues = operandValues,
- .pools = pools,
- };
-}
-
-inline bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}
-
diff --git a/nn/runtime/test/generated/vts_models/batch_to_space_v1_2.model.cpp b/nn/runtime/test/generated/vts_models/batch_to_space_v1_2.model.cpp
index 385c179..5ee2652 100644
--- a/nn/runtime/test/generated/vts_models/batch_to_space_v1_2.model.cpp
+++ b/nn/runtime/test/generated/vts_models/batch_to_space_v1_2.model.cpp
@@ -144,6 +144,77 @@
}
// Create the model
+Model createTestModel_nhwc_float16() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {4, 1, 1, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 8},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::BATCH_TO_SPACE_ND,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {
+ 2, 0, 0, 0, 2, 0, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nhwc_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_nhwc_quant8() {
const std::vector<Operand> operands = {
{
@@ -358,6 +429,77 @@
}
// Create the model
+Model createTestModel_nchw_float16() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {4, 2, 1, 1},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 8},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::BATCH_TO_SPACE_ND,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {
+ 2, 0, 0, 0, 2, 0, 0, 0, 1
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nchw_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_nchw_quant8() {
const std::vector<Operand> operands = {
{
@@ -572,6 +714,77 @@
}
// Create the model
+Model createTestModel_nhwc_float16_2() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {4, 2, 2, 1},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 8},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 4, 4, 1},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::BATCH_TO_SPACE_ND,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {
+ 2, 0, 0, 0, 2, 0, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nhwc_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_nhwc_quant8_2() {
const std::vector<Operand> operands = {
{
@@ -786,6 +999,77 @@
}
// Create the model
+Model createTestModel_nchw_float16_2() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {4, 1, 2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 8},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 1, 4, 4},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::BATCH_TO_SPACE_ND,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {
+ 2, 0, 0, 0, 2, 0, 0, 0, 1
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nchw_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_nchw_quant8_2() {
const std::vector<Operand> operands = {
{
diff --git a/nn/runtime/test/generated/vts_models/concat_mixed_quant.model.cpp b/nn/runtime/test/generated/vts_models/concat_mixed_quant.model.cpp
new file mode 100644
index 0000000..1edf35d
--- /dev/null
+++ b/nn/runtime/test/generated/vts_models/concat_mixed_quant.model.cpp
@@ -0,0 +1,180 @@
+// clang-format off
+// Generated file (from: concat_mixed_quant.mod.py). Do not edit
+// Create the model
+Model createTestModel_quant8() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_QUANT8_ASYMM,
+ .dimensions = {2, 1, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.084f,
+ .zeroPoint = 127,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_QUANT8_ASYMM,
+ .dimensions = {2, 1, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.05f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_QUANT8_ASYMM,
+ .dimensions = {2, 1, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.089f,
+ .zeroPoint = 123,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_QUANT8_ASYMM,
+ .dimensions = {2, 1, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.029f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::TENSOR_QUANT8_ASYMM,
+ .dimensions = {2, 1, 8},
+ .numberOfConsumers = 0,
+ .scale = 0.1f,
+ .zeroPoint = 127,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::CONCATENATION,
+ .inputs = {0, 1, 2, 3, 4},
+ .outputs = {5},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3};
+ const std::vector<uint32_t> outputIndexes = {5};
+ std::vector<uint8_t> operandValues = {
+ 2, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_quant8(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_quant8_2() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_QUANT8_ASYMM,
+ .dimensions = {2, 1, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.084f,
+ .zeroPoint = 127,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_QUANT8_ASYMM,
+ .dimensions = {2, 1, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.05f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_QUANT8_ASYMM,
+ .dimensions = {2, 1, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.089f,
+ .zeroPoint = 123,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_QUANT8_ASYMM,
+ .dimensions = {2, 1, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.029f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::TENSOR_QUANT8_ASYMM,
+ .dimensions = {2, 1, 8},
+ .numberOfConsumers = 0,
+ .scale = 0.0078125f,
+ .zeroPoint = 127,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::CONCATENATION,
+ .inputs = {0, 1, 2, 3, 4},
+ .outputs = {5},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3};
+ const std::vector<uint32_t> outputIndexes = {5};
+ std::vector<uint8_t> operandValues = {
+ 2, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_quant8_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
diff --git a/nn/runtime/test/generated/vts_models/depth_to_space_v1_2.model.cpp b/nn/runtime/test/generated/vts_models/depth_to_space_v1_2.model.cpp
index 787202b..e3bad6c 100644
--- a/nn/runtime/test/generated/vts_models/depth_to_space_v1_2.model.cpp
+++ b/nn/runtime/test/generated/vts_models/depth_to_space_v1_2.model.cpp
@@ -144,6 +144,77 @@
}
// Create the model
+Model createTestModel_nhwc_float16() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 1, 1, 8},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 4, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::DEPTH_TO_SPACE,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {
+ 2, 0, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nhwc_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_nhwc_quant8() {
const std::vector<Operand> operands = {
{
@@ -358,6 +429,77 @@
}
// Create the model
+Model createTestModel_nchw_float16() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 8, 1, 1},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 4, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::DEPTH_TO_SPACE,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {
+ 2, 0, 0, 0, 1
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nchw_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_nchw_quant8() {
const std::vector<Operand> operands = {
{
@@ -572,6 +714,77 @@
}
// Create the model
+Model createTestModel_nhwc_float16_2() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 4, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 4, 4, 1},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::DEPTH_TO_SPACE,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {
+ 2, 0, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nhwc_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_nhwc_quant8_2() {
const std::vector<Operand> operands = {
{
@@ -786,6 +999,77 @@
}
// Create the model
+Model createTestModel_nchw_float16_2() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 4, 2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 4, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 1, 4, 4},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::DEPTH_TO_SPACE,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {
+ 2, 0, 0, 0, 1
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nchw_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_nchw_quant8_2() {
const std::vector<Operand> operands = {
{
@@ -1000,6 +1284,77 @@
}
// Create the model
+Model createTestModel_nhwc_float16_3() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 8},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 4, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 4, 4, 2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::DEPTH_TO_SPACE,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {
+ 2, 0, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nhwc_float16_3(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_nhwc_quant8_3() {
const std::vector<Operand> operands = {
{
@@ -1214,6 +1569,77 @@
}
// Create the model
+Model createTestModel_nchw_float16_3() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 8, 2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 4, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 4, 4},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::DEPTH_TO_SPACE,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {
+ 2, 0, 0, 0, 1
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nchw_float16_3(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_nchw_quant8_3() {
const std::vector<Operand> operands = {
{
diff --git a/nn/runtime/test/generated/vts_models/depthwise_conv2d_v1_2.model.cpp b/nn/runtime/test/generated/vts_models/depthwise_conv2d_v1_2.model.cpp
index 6e273b1..0005247 100644
--- a/nn/runtime/test/generated/vts_models/depthwise_conv2d_v1_2.model.cpp
+++ b/nn/runtime/test/generated/vts_models/depthwise_conv2d_v1_2.model.cpp
@@ -306,6 +306,158 @@
}
// Create the model
+Model createTestModel_nhwc_float16() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 3, 3, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 32},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 32, .length = 8},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 40, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 44, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 48, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 52, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 56, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 60, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 64, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 68, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 72, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 4},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::DEPTHWISE_CONV_2D,
+ .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11},
+ .outputs = {12},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {12};
+ std::vector<uint8_t> operandValues = {
+ 0, 52, 0, 0, 102, 50, 0, 0, 0, 52, 0, 0, 0, 0, 205, 52, 0, 52, 0, 0, 0, 0, 0, 0, 0, 52, 102, 46, 0, 0, 0, 0, 0, 60, 0, 64, 0, 66, 0, 68, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nhwc_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_nhwc_quant8() {
const std::vector<Operand> operands = {
{
@@ -763,6 +915,158 @@
}
// Create the model
+Model createTestModel_nhwc_weight_as_input_float16() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 3, 3, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 4, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 12, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 16, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 20, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 24, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 28, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 32, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 4},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::DEPTHWISE_CONV_2D,
+ .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11},
+ .outputs = {12},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1, 2};
+ const std::vector<uint32_t> outputIndexes = {12};
+ std::vector<uint8_t> operandValues = {
+ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nhwc_weight_as_input_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_nhwc_weight_as_input_quant8() {
const std::vector<Operand> operands = {
{
@@ -1220,6 +1524,158 @@
}
// Create the model
+Model createTestModel_nchw_float16() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 3, 3},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 32},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 32, .length = 8},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 40, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 44, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 48, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 52, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 56, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 60, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 64, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 68, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 72, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 4, 2, 2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::DEPTHWISE_CONV_2D,
+ .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11},
+ .outputs = {12},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {12};
+ std::vector<uint8_t> operandValues = {
+ 0, 52, 0, 0, 102, 50, 0, 0, 0, 52, 0, 0, 0, 0, 205, 52, 0, 52, 0, 0, 0, 0, 0, 0, 0, 52, 102, 46, 0, 0, 0, 0, 0, 60, 0, 64, 0, 66, 0, 68, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nchw_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_nchw_quant8() {
const std::vector<Operand> operands = {
{
@@ -1677,6 +2133,158 @@
}
// Create the model
+Model createTestModel_nchw_weight_as_input_float16() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 3, 3},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 4, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 12, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 16, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 20, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 24, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 28, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 32, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 4, 2, 2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::DEPTHWISE_CONV_2D,
+ .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11},
+ .outputs = {12},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1, 2};
+ const std::vector<uint32_t> outputIndexes = {12};
+ std::vector<uint8_t> operandValues = {
+ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nchw_weight_as_input_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_nchw_weight_as_input_quant8() {
const std::vector<Operand> operands = {
{
@@ -2080,6 +2688,131 @@
}
// Create the model
+Model createTestModel_nhwc_float16_2() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 3, 2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 32},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 32, .length = 8},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 40, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 44, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 48, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 52, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 56, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 60, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 1, 4},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::DEPTHWISE_CONV_2D,
+ .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8},
+ .outputs = {9},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {9};
+ std::vector<uint8_t> operandValues = {
+ 0, 60, 0, 64, 0, 66, 0, 68, 128, 200, 0, 73, 128, 201, 0, 74, 0, 69, 0, 70, 0, 71, 0, 72, 128, 74, 0, 203, 128, 75, 0, 204, 0, 60, 0, 64, 0, 66, 0, 68, 2, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nhwc_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_nhwc_quant8_2() {
const std::vector<Operand> operands = {
{
@@ -2456,6 +3189,131 @@
}
// Create the model
+Model createTestModel_nhwc_weight_as_input_float16_2() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 3, 2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 4, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 12, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 16, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 20, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 1, 4},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::DEPTHWISE_CONV_2D,
+ .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8},
+ .outputs = {9},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1, 2};
+ const std::vector<uint32_t> outputIndexes = {9};
+ std::vector<uint8_t> operandValues = {
+ 2, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nhwc_weight_as_input_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_nhwc_weight_as_input_quant8_2() {
const std::vector<Operand> operands = {
{
@@ -2832,6 +3690,131 @@
}
// Create the model
+Model createTestModel_nchw_float16_2() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 3, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 32},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 32, .length = 8},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 40, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 44, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 48, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 52, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 56, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 60, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 4, 2, 1},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::DEPTHWISE_CONV_2D,
+ .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8},
+ .outputs = {9},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {9};
+ std::vector<uint8_t> operandValues = {
+ 0, 60, 0, 64, 0, 66, 0, 68, 128, 200, 0, 73, 128, 201, 0, 74, 0, 69, 0, 70, 0, 71, 0, 72, 128, 74, 0, 203, 128, 75, 0, 204, 0, 60, 0, 64, 0, 66, 0, 68, 2, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nchw_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_nchw_quant8_2() {
const std::vector<Operand> operands = {
{
@@ -3208,6 +4191,131 @@
}
// Create the model
+Model createTestModel_nchw_weight_as_input_float16_2() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 3, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 4, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 12, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 16, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 20, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 4, 2, 1},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::DEPTHWISE_CONV_2D,
+ .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8},
+ .outputs = {9},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1, 2};
+ const std::vector<uint32_t> outputIndexes = {9};
+ std::vector<uint8_t> operandValues = {
+ 2, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nchw_weight_as_input_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_nchw_weight_as_input_quant8_2() {
const std::vector<Operand> operands = {
{
@@ -3638,6 +4746,158 @@
}
// Create the model
+Model createTestModel_large_nhwc_float16() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 16},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 16, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 20, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 24, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 28, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 32, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 36, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 40, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 44, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 48, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 52, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 1, 1, 2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::DEPTHWISE_CONV_2D,
+ .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11},
+ .outputs = {12},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {12};
+ std::vector<uint8_t> operandValues = {
+ 0, 52, 0, 0, 0, 52, 0, 60, 0, 52, 0, 0, 0, 52, 0, 60, 64, 86, 64, 90, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_large_nhwc_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_large_nhwc_quant8() {
const std::vector<Operand> operands = {
{
@@ -4095,6 +5355,158 @@
}
// Create the model
+Model createTestModel_large_nhwc_weight_as_input_float16() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 4, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 12, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 16, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 20, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 24, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 28, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 32, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 1, 1, 2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::DEPTHWISE_CONV_2D,
+ .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11},
+ .outputs = {12},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1, 2};
+ const std::vector<uint32_t> outputIndexes = {12};
+ std::vector<uint8_t> operandValues = {
+ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_large_nhwc_weight_as_input_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_large_nhwc_weight_as_input_quant8() {
const std::vector<Operand> operands = {
{
@@ -4552,6 +5964,158 @@
}
// Create the model
+Model createTestModel_large_nchw_float16() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 16},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 16, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 20, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 24, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 28, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 32, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 36, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 40, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 44, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 48, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 52, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 1, 1},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::DEPTHWISE_CONV_2D,
+ .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11},
+ .outputs = {12},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {12};
+ std::vector<uint8_t> operandValues = {
+ 0, 52, 0, 0, 0, 52, 0, 60, 0, 52, 0, 0, 0, 52, 0, 60, 64, 86, 64, 90, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_large_nchw_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_large_nchw_quant8() {
const std::vector<Operand> operands = {
{
@@ -5009,6 +6573,158 @@
}
// Create the model
+Model createTestModel_large_nchw_weight_as_input_float16() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 4, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 12, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 16, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 20, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 24, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 28, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 32, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 1, 1},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::DEPTHWISE_CONV_2D,
+ .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11},
+ .outputs = {12},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1, 2};
+ const std::vector<uint32_t> outputIndexes = {12};
+ std::vector<uint8_t> operandValues = {
+ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_large_nchw_weight_as_input_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_large_nchw_weight_as_input_quant8() {
const std::vector<Operand> operands = {
{
@@ -5466,6 +7182,158 @@
}
// Create the model
+Model createTestModel_large_nhwc_float16_2() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 32},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 32, .length = 8},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 40, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 44, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 48, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 52, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 56, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 60, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 64, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 68, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 72, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 1, 1, 4},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::DEPTHWISE_CONV_2D,
+ .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11},
+ .outputs = {12},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {12};
+ std::vector<uint8_t> operandValues = {
+ 0, 52, 0, 0, 0, 73, 64, 82, 0, 52, 0, 60, 0, 77, 64, 82, 0, 52, 0, 0, 128, 79, 64, 82, 0, 52, 0, 60, 0, 81, 64, 82, 220, 109, 214, 110, 208, 111, 101, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_large_nhwc_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_large_nhwc_quant8_2() {
const std::vector<Operand> operands = {
{
@@ -5923,6 +7791,158 @@
}
// Create the model
+Model createTestModel_large_nhwc_weight_as_input_float16_2() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 4, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 12, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 16, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 20, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 24, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 28, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 32, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 1, 1, 4},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::DEPTHWISE_CONV_2D,
+ .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11},
+ .outputs = {12},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1, 2};
+ const std::vector<uint32_t> outputIndexes = {12};
+ std::vector<uint8_t> operandValues = {
+ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_large_nhwc_weight_as_input_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_large_nhwc_weight_as_input_quant8_2() {
const std::vector<Operand> operands = {
{
@@ -6380,6 +8400,158 @@
}
// Create the model
+Model createTestModel_large_nchw_float16_2() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 4, 2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 32},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 32, .length = 8},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 40, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 44, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 48, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 52, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 56, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 60, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 64, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 68, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 72, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 4, 1, 1},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::DEPTHWISE_CONV_2D,
+ .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11},
+ .outputs = {12},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {12};
+ std::vector<uint8_t> operandValues = {
+ 0, 52, 0, 0, 0, 73, 64, 82, 0, 52, 0, 60, 0, 77, 64, 82, 0, 52, 0, 0, 128, 79, 64, 82, 0, 52, 0, 60, 0, 81, 64, 82, 220, 109, 214, 110, 208, 111, 101, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_large_nchw_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_large_nchw_quant8_2() {
const std::vector<Operand> operands = {
{
@@ -6837,6 +9009,158 @@
}
// Create the model
+Model createTestModel_large_nchw_weight_as_input_float16_2() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 4, 2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 4, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 12, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 16, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 20, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 24, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 28, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 32, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 4, 1, 1},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::DEPTHWISE_CONV_2D,
+ .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11},
+ .outputs = {12},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1, 2};
+ const std::vector<uint32_t> outputIndexes = {12};
+ std::vector<uint8_t> operandValues = {
+ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_large_nchw_weight_as_input_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_large_nchw_weight_as_input_quant8_2() {
const std::vector<Operand> operands = {
{
diff --git a/nn/runtime/test/generated/vts_models/argmax_2_float_relaxed.model.cpp b/nn/runtime/test/generated/vts_models/pad_float16.model.cpp
similarity index 78%
copy from nn/runtime/test/generated/vts_models/argmax_2_float_relaxed.model.cpp
copy to nn/runtime/test/generated/vts_models/pad_float16.model.cpp
index ac9ff41..906050e 100644
--- a/nn/runtime/test/generated/vts_models/argmax_2_float_relaxed.model.cpp
+++ b/nn/runtime/test/generated/vts_models/pad_float16.model.cpp
@@ -1,11 +1,11 @@
// clang-format off
-// Generated file (from: argmax_2_float_relaxed.mod.py). Do not edit
+// Generated file (from: pad_float16.mod.py). Do not edit
// Create the model
Model createTestModel() {
const std::vector<Operand> operands = {
{
- .type = OperandType::TENSOR_FLOAT32,
- .dimensions = {2, 2},
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 1},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
@@ -13,17 +13,17 @@
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
- .type = OperandType::INT32,
- .dimensions = {},
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {4, 2},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
- .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ .location = {.poolIndex = 0, .offset = 0, .length = 32},
},
{
- .type = OperandType::TENSOR_INT32,
- .dimensions = {2},
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 4, 4, 1},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
@@ -34,7 +34,7 @@
const std::vector<Operation> operations = {
{
- .type = OperationType::ARGMAX,
+ .type = OperationType::PAD,
.inputs = {0, 1},
.outputs = {2},
}
@@ -43,7 +43,7 @@
const std::vector<uint32_t> inputIndexes = {0};
const std::vector<uint32_t> outputIndexes = {2};
std::vector<uint8_t> operandValues = {
- 0, 0, 0, 0
+ 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
};
const std::vector<hidl_memory> pools = {};
@@ -54,7 +54,6 @@
.outputIndexes = outputIndexes,
.operandValues = operandValues,
.pools = pools,
- .relaxComputationFloat32toFloat16 = true,
};
}
diff --git a/nn/runtime/test/generated/vts_models/pad_v2_1_float.model.cpp b/nn/runtime/test/generated/vts_models/pad_v2_1_float.model.cpp
index 4d4cf25..63571b7 100644
--- a/nn/runtime/test/generated/vts_models/pad_v2_1_float.model.cpp
+++ b/nn/runtime/test/generated/vts_models/pad_v2_1_float.model.cpp
@@ -71,3 +71,74 @@
return ignore.find(i) != ignore.end();
}
+// Create the model
+Model createTestModel_float16() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 3, 1},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {4, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 32},
+ },
+ {
+ .type = OperandType::FLOAT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 32, .length = 4},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 4, 7, 1},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::PAD_V2,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {
+ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 205, 204, 20, 65
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
diff --git a/nn/runtime/test/generated/vts_models/argmax_3_float.model.cpp b/nn/runtime/test/generated/vts_models/reshape_float16.model.cpp
similarity index 83%
rename from nn/runtime/test/generated/vts_models/argmax_3_float.model.cpp
rename to nn/runtime/test/generated/vts_models/reshape_float16.model.cpp
index caa1a00..644b7c1 100644
--- a/nn/runtime/test/generated/vts_models/argmax_3_float.model.cpp
+++ b/nn/runtime/test/generated/vts_models/reshape_float16.model.cpp
@@ -1,11 +1,11 @@
// clang-format off
-// Generated file (from: argmax_3_float.mod.py). Do not edit
+// Generated file (from: reshape_float16.mod.py). Do not edit
// Create the model
Model createTestModel() {
const std::vector<Operand> operands = {
{
- .type = OperandType::TENSOR_FLOAT32,
- .dimensions = {2, 2},
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 1, 3, 3},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
@@ -13,8 +13,8 @@
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
- .type = OperandType::INT32,
- .dimensions = {},
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {1},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
@@ -22,8 +22,8 @@
.location = {.poolIndex = 0, .offset = 0, .length = 4},
},
{
- .type = OperandType::TENSOR_INT32,
- .dimensions = {2},
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {9},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
@@ -34,7 +34,7 @@
const std::vector<Operation> operations = {
{
- .type = OperationType::ARGMAX,
+ .type = OperationType::RESHAPE,
.inputs = {0, 1},
.outputs = {2},
}
diff --git a/nn/runtime/test/generated/vts_models/resize_bilinear_v1_2.model.cpp b/nn/runtime/test/generated/vts_models/resize_bilinear_v1_2.model.cpp
index 9ebd9dc..0dc7c33 100644
--- a/nn/runtime/test/generated/vts_models/resize_bilinear_v1_2.model.cpp
+++ b/nn/runtime/test/generated/vts_models/resize_bilinear_v1_2.model.cpp
@@ -162,6 +162,86 @@
}
// Create the model
+Model createTestModel_nhwc_float16() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 1},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 4, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 3, 3, 1},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::RESIZE_BILINEAR,
+ .inputs = {0, 1, 2, 3},
+ .outputs = {4},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {4};
+ std::vector<uint8_t> operandValues = {
+ 3, 0, 0, 0, 3, 0, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nhwc_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_nchw() {
const std::vector<Operand> operands = {
{
@@ -323,6 +403,86 @@
}
// Create the model
+Model createTestModel_nchw_float16() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 1, 2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 4, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 1, 3, 3},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::RESIZE_BILINEAR,
+ .inputs = {0, 1, 2, 3},
+ .outputs = {4},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {4};
+ std::vector<uint8_t> operandValues = {
+ 3, 0, 0, 0, 3, 0, 0, 0, 1
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nchw_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_nhwc_2() {
const std::vector<Operand> operands = {
{
@@ -484,6 +644,86 @@
}
// Create the model
+Model createTestModel_nhwc_float16_2() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 4, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 3, 3, 2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::RESIZE_BILINEAR,
+ .inputs = {0, 1, 2, 3},
+ .outputs = {4},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {4};
+ std::vector<uint8_t> operandValues = {
+ 3, 0, 0, 0, 3, 0, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nhwc_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_nchw_2() {
const std::vector<Operand> operands = {
{
@@ -644,3 +884,83 @@
return ignore.find(i) != ignore.end();
}
+// Create the model
+Model createTestModel_nchw_float16_2() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 4, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 3, 3},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::RESIZE_BILINEAR,
+ .inputs = {0, 1, 2, 3},
+ .outputs = {4},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {4};
+ std::vector<uint8_t> operandValues = {
+ 3, 0, 0, 0, 3, 0, 0, 0, 1
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nchw_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
diff --git a/nn/runtime/test/generated/vts_models/roi_pooling.model.cpp b/nn/runtime/test/generated/vts_models/roi_pooling.model.cpp
new file mode 100644
index 0000000..cec26cc
--- /dev/null
+++ b/nn/runtime/test/generated/vts_models/roi_pooling.model.cpp
@@ -0,0 +1,1074 @@
+// clang-format off
+// Generated file (from: roi_pooling.mod.py). Do not edit
+// Create the model
+Model createTestModel_nhwc() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {1, 4, 4, 1},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {4, 4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 8},
+ },
+ {
+ .type = OperandType::FLOAT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 12, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {4, 2, 2, 1},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ROI_POOLING,
+ .inputs = {0, 1, 2, 3, 4},
+ .outputs = {5},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1};
+ const std::vector<uint32_t> outputIndexes = {5};
+ std::vector<uint8_t> operandValues = {
+ 2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 63, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nhwc(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_nhwc_relaxed() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {1, 4, 4, 1},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {4, 4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 8},
+ },
+ {
+ .type = OperandType::FLOAT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 12, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {4, 2, 2, 1},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ROI_POOLING,
+ .inputs = {0, 1, 2, 3, 4},
+ .outputs = {5},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1};
+ const std::vector<uint32_t> outputIndexes = {5};
+ std::vector<uint8_t> operandValues = {
+ 2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 63, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ .relaxComputationFloat32toFloat16 = true,
+ };
+}
+
+inline bool is_ignored_nhwc_relaxed(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_nhwc_quant8() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_QUANT8_ASYMM,
+ .dimensions = {1, 4, 4, 1},
+ .numberOfConsumers = 1,
+ .scale = 0.25f,
+ .zeroPoint = 128,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {4, 4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 8},
+ },
+ {
+ .type = OperandType::FLOAT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 12, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_QUANT8_ASYMM,
+ .dimensions = {4, 2, 2, 1},
+ .numberOfConsumers = 0,
+ .scale = 0.25f,
+ .zeroPoint = 128,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ROI_POOLING,
+ .inputs = {0, 1, 2, 3, 4},
+ .outputs = {5},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1};
+ const std::vector<uint32_t> outputIndexes = {5};
+ std::vector<uint8_t> operandValues = {
+ 2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 63, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nhwc_quant8(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_nchw() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {1, 1, 4, 4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {4, 4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 8},
+ },
+ {
+ .type = OperandType::FLOAT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 12, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {4, 1, 2, 2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ROI_POOLING,
+ .inputs = {0, 1, 2, 3, 4},
+ .outputs = {5},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1};
+ const std::vector<uint32_t> outputIndexes = {5};
+ std::vector<uint8_t> operandValues = {
+ 2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 63, 1
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nchw(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_nchw_relaxed() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {1, 1, 4, 4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {4, 4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 8},
+ },
+ {
+ .type = OperandType::FLOAT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 12, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {4, 1, 2, 2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ROI_POOLING,
+ .inputs = {0, 1, 2, 3, 4},
+ .outputs = {5},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1};
+ const std::vector<uint32_t> outputIndexes = {5};
+ std::vector<uint8_t> operandValues = {
+ 2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 63, 1
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ .relaxComputationFloat32toFloat16 = true,
+ };
+}
+
+inline bool is_ignored_nchw_relaxed(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_nchw_quant8() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_QUANT8_ASYMM,
+ .dimensions = {1, 1, 4, 4},
+ .numberOfConsumers = 1,
+ .scale = 0.25f,
+ .zeroPoint = 128,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {4, 4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 8},
+ },
+ {
+ .type = OperandType::FLOAT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 12, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_QUANT8_ASYMM,
+ .dimensions = {4, 1, 2, 2},
+ .numberOfConsumers = 0,
+ .scale = 0.25f,
+ .zeroPoint = 128,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ROI_POOLING,
+ .inputs = {0, 1, 2, 3, 4},
+ .outputs = {5},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1};
+ const std::vector<uint32_t> outputIndexes = {5};
+ std::vector<uint8_t> operandValues = {
+ 2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 63, 1
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nchw_quant8(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_nhwc_2() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {2, 4, 8, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {4, 5},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 8},
+ },
+ {
+ .type = OperandType::FLOAT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 12, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {4, 2, 3, 2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ROI_POOLING,
+ .inputs = {0, 1, 2, 3, 4},
+ .outputs = {5},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1};
+ const std::vector<uint32_t> outputIndexes = {5};
+ std::vector<uint8_t> operandValues = {
+ 2, 0, 0, 0, 3, 0, 0, 0, 0, 0, 128, 62, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nhwc_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_nhwc_relaxed_2() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {2, 4, 8, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {4, 5},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 8},
+ },
+ {
+ .type = OperandType::FLOAT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 12, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {4, 2, 3, 2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ROI_POOLING,
+ .inputs = {0, 1, 2, 3, 4},
+ .outputs = {5},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1};
+ const std::vector<uint32_t> outputIndexes = {5};
+ std::vector<uint8_t> operandValues = {
+ 2, 0, 0, 0, 3, 0, 0, 0, 0, 0, 128, 62, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ .relaxComputationFloat32toFloat16 = true,
+ };
+}
+
+inline bool is_ignored_nhwc_relaxed_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_nhwc_quant8_2() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_QUANT8_ASYMM,
+ .dimensions = {2, 4, 8, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.04f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {4, 5},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 8},
+ },
+ {
+ .type = OperandType::FLOAT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 12, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_QUANT8_ASYMM,
+ .dimensions = {4, 2, 3, 2},
+ .numberOfConsumers = 0,
+ .scale = 0.04f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ROI_POOLING,
+ .inputs = {0, 1, 2, 3, 4},
+ .outputs = {5},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1};
+ const std::vector<uint32_t> outputIndexes = {5};
+ std::vector<uint8_t> operandValues = {
+ 2, 0, 0, 0, 3, 0, 0, 0, 0, 0, 128, 62, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nhwc_quant8_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_nchw_2() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {2, 2, 4, 8},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {4, 5},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 8},
+ },
+ {
+ .type = OperandType::FLOAT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 12, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {4, 2, 2, 3},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ROI_POOLING,
+ .inputs = {0, 1, 2, 3, 4},
+ .outputs = {5},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1};
+ const std::vector<uint32_t> outputIndexes = {5};
+ std::vector<uint8_t> operandValues = {
+ 2, 0, 0, 0, 3, 0, 0, 0, 0, 0, 128, 62, 1
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nchw_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_nchw_relaxed_2() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {2, 2, 4, 8},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {4, 5},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 8},
+ },
+ {
+ .type = OperandType::FLOAT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 12, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {4, 2, 2, 3},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ROI_POOLING,
+ .inputs = {0, 1, 2, 3, 4},
+ .outputs = {5},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1};
+ const std::vector<uint32_t> outputIndexes = {5};
+ std::vector<uint8_t> operandValues = {
+ 2, 0, 0, 0, 3, 0, 0, 0, 0, 0, 128, 62, 1
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ .relaxComputationFloat32toFloat16 = true,
+ };
+}
+
+inline bool is_ignored_nchw_relaxed_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_nchw_quant8_2() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_QUANT8_ASYMM,
+ .dimensions = {2, 2, 4, 8},
+ .numberOfConsumers = 1,
+ .scale = 0.04f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {4, 5},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 8},
+ },
+ {
+ .type = OperandType::FLOAT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 12, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_QUANT8_ASYMM,
+ .dimensions = {4, 2, 2, 3},
+ .numberOfConsumers = 0,
+ .scale = 0.04f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::ROI_POOLING,
+ .inputs = {0, 1, 2, 3, 4},
+ .outputs = {5},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1};
+ const std::vector<uint32_t> outputIndexes = {5};
+ std::vector<uint8_t> operandValues = {
+ 2, 0, 0, 0, 3, 0, 0, 0, 0, 0, 128, 62, 1
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nchw_quant8_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
diff --git a/nn/runtime/test/generated/vts_models/slice.model.cpp b/nn/runtime/test/generated/vts_models/slice.model.cpp
new file mode 100644
index 0000000..79141f7
--- /dev/null
+++ b/nn/runtime/test/generated/vts_models/slice.model.cpp
@@ -0,0 +1,1666 @@
+// clang-format off
+// Generated file (from: slice.mod.py). Do not edit
+// Create the model
+Model createTestModel() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {1},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {1},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SLICE,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1, 2};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {};
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_relaxed() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {1},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {1},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SLICE,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1, 2};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {};
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ .relaxComputationFloat32toFloat16 = true,
+ };
+}
+
+inline bool is_ignored_relaxed(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_float16() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {1},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {1},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SLICE,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1, 2};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {};
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_2() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {2, 3},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {1, 2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SLICE,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1, 2};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {};
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_relaxed_2() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {2, 3},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {1, 2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SLICE,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1, 2};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {};
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ .relaxComputationFloat32toFloat16 = true,
+ };
+}
+
+inline bool is_ignored_relaxed_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_float16_2() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {2, 3},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SLICE,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1, 2};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {};
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_3() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {2, 3, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {3},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {3},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {2, 3, 2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SLICE,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1, 2};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {};
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_3(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_relaxed_3() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {2, 3, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {3},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {3},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {2, 3, 2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SLICE,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1, 2};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {};
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ .relaxComputationFloat32toFloat16 = true,
+ };
+}
+
+inline bool is_ignored_relaxed_3(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_float16_3() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {2, 3, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {3},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {3},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {2, 3, 2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SLICE,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1, 2};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {};
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_float16_3(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_4() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {4, 1, 1, 1},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {3, 1, 1, 1},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SLICE,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1, 2};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {};
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_4(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_relaxed_4() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {4, 1, 1, 1},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT32,
+ .dimensions = {3, 1, 1, 1},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SLICE,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1, 2};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {};
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ .relaxComputationFloat32toFloat16 = true,
+ };
+}
+
+inline bool is_ignored_relaxed_4(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_float16_4() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {4, 1, 1, 1},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {3, 1, 1, 1},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SLICE,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1, 2};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {};
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_float16_4(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_5() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {3, 2, 3, 1},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {1, 1, 3, 1},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SLICE,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1, 2};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {};
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_5(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_relaxed_5() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {3, 2, 3, 1},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {1, 1, 3, 1},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SLICE,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1, 2};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {};
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ .relaxComputationFloat32toFloat16 = true,
+ };
+}
+
+inline bool is_ignored_relaxed_5(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_float16_5() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {3, 2, 3, 1},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {1, 1, 3, 1},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SLICE,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1, 2};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {};
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_float16_5(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_6() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {3, 2, 3, 1},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2, 1, 3, 1},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SLICE,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1, 2};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {};
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_6(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_relaxed_6() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {3, 2, 3, 1},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2, 1, 3, 1},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SLICE,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1, 2};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {};
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ .relaxComputationFloat32toFloat16 = true,
+ };
+}
+
+inline bool is_ignored_relaxed_6(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_float16_6() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {3, 2, 3, 1},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2, 1, 3, 1},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SLICE,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1, 2};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {};
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_float16_6(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_7() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_QUANT8_ASYMM,
+ .dimensions = {3, 2, 3, 1},
+ .numberOfConsumers = 1,
+ .scale = 2.0f,
+ .zeroPoint = 128,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_QUANT8_ASYMM,
+ .dimensions = {2, 1, 3, 1},
+ .numberOfConsumers = 0,
+ .scale = 2.0f,
+ .zeroPoint = 128,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SLICE,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1, 2};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {};
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_7(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_relaxed_7() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_QUANT8_ASYMM,
+ .dimensions = {3, 2, 3, 1},
+ .numberOfConsumers = 1,
+ .scale = 2.0f,
+ .zeroPoint = 128,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_QUANT8_ASYMM,
+ .dimensions = {2, 1, 3, 1},
+ .numberOfConsumers = 0,
+ .scale = 2.0f,
+ .zeroPoint = 128,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SLICE,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1, 2};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {};
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ .relaxComputationFloat32toFloat16 = true,
+ };
+}
+
+inline bool is_ignored_relaxed_7(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_float16_7() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_QUANT8_ASYMM,
+ .dimensions = {3, 2, 3, 1},
+ .numberOfConsumers = 1,
+ .scale = 2.0f,
+ .zeroPoint = 128,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_QUANT8_ASYMM,
+ .dimensions = {2, 1, 3, 1},
+ .numberOfConsumers = 0,
+ .scale = 2.0f,
+ .zeroPoint = 128,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SLICE,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1, 2};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {};
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_float16_7(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_8() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {3, 2, 3, 1},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2, 1, 3, 1},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SLICE,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1, 2};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {};
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_8(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_relaxed_8() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {3, 2, 3, 1},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2, 1, 3, 1},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SLICE,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1, 2};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {};
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ .relaxComputationFloat32toFloat16 = true,
+ };
+}
+
+inline bool is_ignored_relaxed_8(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_float16_8() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {3, 2, 3, 1},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2, 1, 3, 1},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SLICE,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0, 1, 2};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {};
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_float16_8(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
diff --git a/nn/runtime/test/generated/vts_models/space_to_batch_v1_2.model.cpp b/nn/runtime/test/generated/vts_models/space_to_batch_v1_2.model.cpp
index ea6a078..3203582 100644
--- a/nn/runtime/test/generated/vts_models/space_to_batch_v1_2.model.cpp
+++ b/nn/runtime/test/generated/vts_models/space_to_batch_v1_2.model.cpp
@@ -162,6 +162,86 @@
}
// Create the model
+Model createTestModel_nhwc_float16() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 8},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 16},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 24, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {4, 1, 1, 2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SPACE_TO_BATCH_ND,
+ .inputs = {0, 1, 2, 3},
+ .outputs = {4},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {4};
+ std::vector<uint8_t> operandValues = {
+ 2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nhwc_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_nhwc_quant8() {
const std::vector<Operand> operands = {
{
@@ -403,6 +483,86 @@
}
// Create the model
+Model createTestModel_nchw_float16() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 8},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 16},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 24, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {4, 2, 1, 1},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SPACE_TO_BATCH_ND,
+ .inputs = {0, 1, 2, 3},
+ .outputs = {4},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {4};
+ std::vector<uint8_t> operandValues = {
+ 2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nchw_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_nchw_quant8() {
const std::vector<Operand> operands = {
{
@@ -644,6 +804,86 @@
}
// Create the model
+Model createTestModel_nhwc_float16_2() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 4, 4, 1},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 8},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 16},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 24, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {4, 2, 2, 1},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SPACE_TO_BATCH_ND,
+ .inputs = {0, 1, 2, 3},
+ .outputs = {4},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {4};
+ std::vector<uint8_t> operandValues = {
+ 2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nhwc_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_nhwc_quant8_2() {
const std::vector<Operand> operands = {
{
@@ -885,6 +1125,86 @@
}
// Create the model
+Model createTestModel_nchw_float16_2() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 1, 4, 4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 8},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 16},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 24, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {4, 1, 2, 2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SPACE_TO_BATCH_ND,
+ .inputs = {0, 1, 2, 3},
+ .outputs = {4},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {4};
+ std::vector<uint8_t> operandValues = {
+ 2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nchw_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_nchw_quant8_2() {
const std::vector<Operand> operands = {
{
@@ -1126,6 +1446,86 @@
}
// Create the model
+Model createTestModel_nhwc_float16_3() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 5, 2, 1},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 8},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 16},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 24, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {6, 2, 2, 1},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SPACE_TO_BATCH_ND,
+ .inputs = {0, 1, 2, 3},
+ .outputs = {4},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {4};
+ std::vector<uint8_t> operandValues = {
+ 3, 0, 0, 0, 2, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nhwc_float16_3(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_nhwc_quant8_3() {
const std::vector<Operand> operands = {
{
@@ -1367,6 +1767,86 @@
}
// Create the model
+Model createTestModel_nchw_float16_3() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 1, 5, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 8},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 16},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 24, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {6, 1, 2, 2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SPACE_TO_BATCH_ND,
+ .inputs = {0, 1, 2, 3},
+ .outputs = {4},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {4};
+ std::vector<uint8_t> operandValues = {
+ 3, 0, 0, 0, 2, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nchw_float16_3(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_nchw_quant8_3() {
const std::vector<Operand> operands = {
{
@@ -1608,6 +2088,86 @@
}
// Create the model
+Model createTestModel_nhwc_float16_4() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 4, 2, 1},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 8},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 16},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 24, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {6, 2, 4, 1},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SPACE_TO_BATCH_ND,
+ .inputs = {0, 1, 2, 3},
+ .outputs = {4},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {4};
+ std::vector<uint8_t> operandValues = {
+ 3, 0, 0, 0, 2, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 4, 0, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nhwc_float16_4(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_nhwc_quant8_4() {
const std::vector<Operand> operands = {
{
@@ -1849,6 +2409,86 @@
}
// Create the model
+Model createTestModel_nchw_float16_4() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 1, 4, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 8},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 16},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 24, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {6, 1, 2, 4},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SPACE_TO_BATCH_ND,
+ .inputs = {0, 1, 2, 3},
+ .outputs = {4},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {4};
+ std::vector<uint8_t> operandValues = {
+ 3, 0, 0, 0, 2, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 4, 0, 0, 0, 1
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nchw_float16_4(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_nchw_quant8_4() {
const std::vector<Operand> operands = {
{
diff --git a/nn/runtime/test/generated/vts_models/space_to_depth_v1_2.model.cpp b/nn/runtime/test/generated/vts_models/space_to_depth_v1_2.model.cpp
index ab66f1d..aca8bff 100644
--- a/nn/runtime/test/generated/vts_models/space_to_depth_v1_2.model.cpp
+++ b/nn/runtime/test/generated/vts_models/space_to_depth_v1_2.model.cpp
@@ -144,6 +144,77 @@
}
// Create the model
+Model createTestModel_nhwc_float16() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 4, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 1, 1, 8},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SPACE_TO_DEPTH,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {
+ 2, 0, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nhwc_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_nhwc_quant8() {
const std::vector<Operand> operands = {
{
@@ -358,6 +429,77 @@
}
// Create the model
+Model createTestModel_nchw_float16() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 4, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 8, 1, 1},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SPACE_TO_DEPTH,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {
+ 2, 0, 0, 0, 1
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nchw_float16(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_nchw_quant8() {
const std::vector<Operand> operands = {
{
@@ -572,6 +714,77 @@
}
// Create the model
+Model createTestModel_nhwc_float16_2() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 4, 4, 1},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 4, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 4},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SPACE_TO_DEPTH,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {
+ 2, 0, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nhwc_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_nhwc_quant8_2() {
const std::vector<Operand> operands = {
{
@@ -786,6 +999,77 @@
}
// Create the model
+Model createTestModel_nchw_float16_2() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 1, 4, 4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 4, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 4, 2, 2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SPACE_TO_DEPTH,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {
+ 2, 0, 0, 0, 1
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nchw_float16_2(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_nchw_quant8_2() {
const std::vector<Operand> operands = {
{
@@ -1000,6 +1284,77 @@
}
// Create the model
+Model createTestModel_nhwc_float16_3() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 4, 4, 2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 4, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 8},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SPACE_TO_DEPTH,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {
+ 2, 0, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nhwc_float16_3(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_nhwc_quant8_3() {
const std::vector<Operand> operands = {
{
@@ -1214,6 +1569,77 @@
}
// Create the model
+Model createTestModel_nchw_float16_3() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 4, 4},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ },
+ {
+ .type = OperandType::BOOL,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 4, .length = 1},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 8, 2, 2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::SPACE_TO_DEPTH,
+ .inputs = {0, 1, 2},
+ .outputs = {3},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {3};
+ std::vector<uint8_t> operandValues = {
+ 2, 0, 0, 0, 1
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored_nchw_float16_3(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
+// Create the model
Model createTestModel_nchw_quant8_3() {
const std::vector<Operand> operands = {
{
diff --git a/nn/runtime/test/generated/vts_models/argmin_1_int32.model.cpp b/nn/runtime/test/generated/vts_models/squeeze_float16.model.cpp
similarity index 83%
rename from nn/runtime/test/generated/vts_models/argmin_1_int32.model.cpp
rename to nn/runtime/test/generated/vts_models/squeeze_float16.model.cpp
index 6ac3ef4..f2d8e21 100644
--- a/nn/runtime/test/generated/vts_models/argmin_1_int32.model.cpp
+++ b/nn/runtime/test/generated/vts_models/squeeze_float16.model.cpp
@@ -1,11 +1,11 @@
// clang-format off
-// Generated file (from: argmin_1_int32.mod.py). Do not edit
+// Generated file (from: squeeze_float16.mod.py). Do not edit
// Create the model
Model createTestModel() {
const std::vector<Operand> operands = {
{
- .type = OperandType::TENSOR_INT32,
- .dimensions = {2, 2},
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {4, 1, 1, 2},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
@@ -13,17 +13,17 @@
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
- .type = OperandType::INT32,
- .dimensions = {},
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
- .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ .location = {.poolIndex = 0, .offset = 0, .length = 8},
},
{
- .type = OperandType::TENSOR_INT32,
- .dimensions = {2},
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {4, 2},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
@@ -34,7 +34,7 @@
const std::vector<Operation> operations = {
{
- .type = OperationType::ARGMIN,
+ .type = OperationType::SQUEEZE,
.inputs = {0, 1},
.outputs = {2},
}
@@ -43,7 +43,7 @@
const std::vector<uint32_t> inputIndexes = {0};
const std::vector<uint32_t> outputIndexes = {2};
std::vector<uint8_t> operandValues = {
- 1, 0, 0, 0
+ 1, 0, 0, 0, 2, 0, 0, 0
};
const std::vector<hidl_memory> pools = {};
diff --git a/nn/runtime/test/generated/vts_models/strided_slice_float16.model.cpp b/nn/runtime/test/generated/vts_models/strided_slice_float16.model.cpp
new file mode 100644
index 0000000..31fd792
--- /dev/null
+++ b/nn/runtime/test/generated/vts_models/strided_slice_float16.model.cpp
@@ -0,0 +1,109 @@
+// clang-format off
+// Generated file (from: strided_slice_float16.mod.py). Do not edit
+// Create the model
+Model createTestModel() {
+ const std::vector<Operand> operands = {
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {2, 3},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_INPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 0, .length = 8},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 8, .length = 8},
+ },
+ {
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {2},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 16, .length = 8},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 24, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 28, .length = 4},
+ },
+ {
+ .type = OperandType::INT32,
+ .dimensions = {},
+ .numberOfConsumers = 1,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::CONSTANT_COPY,
+ .location = {.poolIndex = 0, .offset = 32, .length = 4},
+ },
+ {
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2},
+ .numberOfConsumers = 0,
+ .scale = 0.0f,
+ .zeroPoint = 0,
+ .lifetime = OperandLifeTime::MODEL_OUTPUT,
+ .location = {.poolIndex = 0, .offset = 0, .length = 0},
+ }
+ };
+
+ const std::vector<Operation> operations = {
+ {
+ .type = OperationType::STRIDED_SLICE,
+ .inputs = {0, 1, 2, 3, 4, 5, 6},
+ .outputs = {7},
+ }
+ };
+
+ const std::vector<uint32_t> inputIndexes = {0};
+ const std::vector<uint32_t> outputIndexes = {7};
+ std::vector<uint8_t> operandValues = {
+ 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 3, 0, 0, 0, 2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
+ };
+ const std::vector<hidl_memory> pools = {};
+
+ return {
+ .operands = operands,
+ .operations = operations,
+ .inputIndexes = inputIndexes,
+ .outputIndexes = outputIndexes,
+ .operandValues = operandValues,
+ .pools = pools,
+ };
+}
+
+inline bool is_ignored(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}
+
diff --git a/nn/runtime/test/generated/vts_models/argmax_2_float_relaxed.model.cpp b/nn/runtime/test/generated/vts_models/transpose_float16.model.cpp
similarity index 80%
rename from nn/runtime/test/generated/vts_models/argmax_2_float_relaxed.model.cpp
rename to nn/runtime/test/generated/vts_models/transpose_float16.model.cpp
index ac9ff41..03122d3 100644
--- a/nn/runtime/test/generated/vts_models/argmax_2_float_relaxed.model.cpp
+++ b/nn/runtime/test/generated/vts_models/transpose_float16.model.cpp
@@ -1,11 +1,11 @@
// clang-format off
-// Generated file (from: argmax_2_float_relaxed.mod.py). Do not edit
+// Generated file (from: transpose_float16.mod.py). Do not edit
// Create the model
Model createTestModel() {
const std::vector<Operand> operands = {
{
- .type = OperandType::TENSOR_FLOAT32,
- .dimensions = {2, 2},
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 1},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
@@ -13,17 +13,17 @@
.location = {.poolIndex = 0, .offset = 0, .length = 0},
},
{
- .type = OperandType::INT32,
- .dimensions = {},
+ .type = OperandType::TENSOR_INT32,
+ .dimensions = {4},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.lifetime = OperandLifeTime::CONSTANT_COPY,
- .location = {.poolIndex = 0, .offset = 0, .length = 4},
+ .location = {.poolIndex = 0, .offset = 0, .length = 16},
},
{
- .type = OperandType::TENSOR_INT32,
- .dimensions = {2},
+ .type = OperandType::TENSOR_FLOAT16,
+ .dimensions = {1, 2, 2, 1},
.numberOfConsumers = 0,
.scale = 0.0f,
.zeroPoint = 0,
@@ -34,7 +34,7 @@
const std::vector<Operation> operations = {
{
- .type = OperationType::ARGMAX,
+ .type = OperationType::TRANSPOSE,
.inputs = {0, 1},
.outputs = {2},
}
@@ -43,7 +43,7 @@
const std::vector<uint32_t> inputIndexes = {0};
const std::vector<uint32_t> outputIndexes = {2};
std::vector<uint8_t> operandValues = {
- 0, 0, 0, 0
+ 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 0, 0, 3, 0, 0, 0
};
const std::vector<hidl_memory> pools = {};
@@ -54,7 +54,6 @@
.outputIndexes = outputIndexes,
.operandValues = operandValues,
.pools = pools,
- .relaxComputationFloat32toFloat16 = true,
};
}
diff --git a/nn/runtime/test/specs/V1_2/argmin_1_float_relaxed.mod.py b/nn/runtime/test/specs/V1_2/abs.mod.py
similarity index 62%
copy from nn/runtime/test/specs/V1_2/argmin_1_float_relaxed.mod.py
copy to nn/runtime/test/specs/V1_2/abs.mod.py
index f58f2b8..376769e 100644
--- a/nn/runtime/test/specs/V1_2/argmin_1_float_relaxed.mod.py
+++ b/nn/runtime/test/specs/V1_2/abs.mod.py
@@ -14,16 +14,14 @@
# limitations under the License.
#
-input0 = Input("input0", "TENSOR_FLOAT32", "{2, 2}")
-axis = Int32Scalar("axis", 1)
-output0 = Output("output", "TENSOR_INT32", "{2}")
+input0 = Input("input0", "TENSOR_FLOAT32", "{1, 2, 3, 4, 5}")
+output0 = Output("output0", "TENSOR_FLOAT32", "{1, 2, 3, 4, 5}")
+model = Model().Operation("ABS", input0).To(output0)
-model = Model().Operation("ARGMIN", input0, axis).To(output0)
-model.RelaxedExecution(True)
+input_data = [(i - 60) / 10 for i in range(120)]
+output_data = [abs(x) for x in input_data]
-Example(({
- input0: [1.0, 2.0,
- 4.0, 3.0],
-}, {
- output0: [0, 1],
-}))
+Example({
+ input0: input_data,
+ output0: output_data,
+}).AddVariations("relaxed", "float16")
diff --git a/nn/runtime/test/specs/V1_2/argmax_1_float.mod.py b/nn/runtime/test/specs/V1_2/argmax_1.mod.py
similarity index 84%
rename from nn/runtime/test/specs/V1_2/argmax_1_float.mod.py
rename to nn/runtime/test/specs/V1_2/argmax_1.mod.py
index a567adc..6dc7430 100644
--- a/nn/runtime/test/specs/V1_2/argmax_1_float.mod.py
+++ b/nn/runtime/test/specs/V1_2/argmax_1.mod.py
@@ -20,9 +20,12 @@
model = Model().Operation("ARGMAX", input0, axis).To(output0)
-Example(({
+quant8 = DataTypeConverter().Identify({
+ input0: ["TENSOR_QUANT8_ASYMM", 1.0, 0],
+})
+
+Example({
input0: [1.0, 2.0,
4.0, 3.0],
-}, {
output0: [1, 0],
-}))
+}).AddVariations("relaxed", "float16", "int32", quant8)
diff --git a/nn/runtime/test/specs/V1_2/argmax_1_float_relaxed.mod.py b/nn/runtime/test/specs/V1_2/argmax_1_float_relaxed.mod.py
deleted file mode 100644
index a54e5e6..0000000
--- a/nn/runtime/test/specs/V1_2/argmax_1_float_relaxed.mod.py
+++ /dev/null
@@ -1,29 +0,0 @@
-#
-# Copyright (C) 2018 The Android Open Source Project
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-input0 = Input("input0", "TENSOR_FLOAT32", "{2, 2}")
-axis = Int32Scalar("axis", 1)
-output0 = Output("output", "TENSOR_INT32", "{2}")
-
-model = Model().Operation("ARGMAX", input0, axis).To(output0)
-model.RelaxedExecution(True)
-
-Example(({
- input0: [1.0, 2.0,
- 4.0, 3.0],
-}, {
- output0: [1, 0],
-}))
diff --git a/nn/runtime/test/specs/V1_2/argmax_1_int32.mod.py b/nn/runtime/test/specs/V1_2/argmax_1_int32.mod.py
deleted file mode 100644
index b69e1f5..0000000
--- a/nn/runtime/test/specs/V1_2/argmax_1_int32.mod.py
+++ /dev/null
@@ -1,28 +0,0 @@
-#
-# Copyright (C) 2018 The Android Open Source Project
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-input0 = Input("input0", "TENSOR_INT32", "{2, 2}")
-axis = Int32Scalar("axis", 1)
-output0 = Output("output", "TENSOR_INT32", "{2}")
-
-model = Model().Operation("ARGMAX", input0, axis).To(output0)
-
-Example(({
- input0: [1, 2,
- 4, 3],
-}, {
- output0: [1, 0],
-}))
diff --git a/nn/runtime/test/specs/V1_2/argmax_1_quant8.mod.py b/nn/runtime/test/specs/V1_2/argmax_1_quant8.mod.py
deleted file mode 100644
index 38c37ce..0000000
--- a/nn/runtime/test/specs/V1_2/argmax_1_quant8.mod.py
+++ /dev/null
@@ -1,28 +0,0 @@
-#
-# Copyright (C) 2018 The Android Open Source Project
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-input0 = Input("input0", "TENSOR_QUANT8_ASYMM", "{2, 2}, 1.0, 0")
-axis = Int32Scalar("axis", 1)
-output0 = Output("output", "TENSOR_INT32", "{2}")
-
-model = Model().Operation("ARGMAX", input0, axis).To(output0)
-
-Example(({
- input0: [1, 2,
- 4, 3],
-}, {
- output0: [1, 0],
-}))
diff --git a/nn/runtime/test/specs/V1_2/argmax_2_float_relaxed.mod.py b/nn/runtime/test/specs/V1_2/argmax_2.mod.py
similarity index 84%
rename from nn/runtime/test/specs/V1_2/argmax_2_float_relaxed.mod.py
rename to nn/runtime/test/specs/V1_2/argmax_2.mod.py
index 5531830..69be607 100644
--- a/nn/runtime/test/specs/V1_2/argmax_2_float_relaxed.mod.py
+++ b/nn/runtime/test/specs/V1_2/argmax_2.mod.py
@@ -19,11 +19,13 @@
output0 = Output("output", "TENSOR_INT32", "{2}")
model = Model().Operation("ARGMAX", input0, axis).To(output0)
-model.RelaxedExecution(True)
-Example(({
+quant8 = DataTypeConverter().Identify({
+ input0: ["TENSOR_QUANT8_ASYMM", 1.0, 0],
+})
+
+Example({
input0: [1.0, 2.0,
4.0, 3.0],
-}, {
output0: [1, 1],
-}))
+}).AddVariations("relaxed", "float16", "int32", quant8)
diff --git a/nn/runtime/test/specs/V1_2/argmax_2_float.mod.py b/nn/runtime/test/specs/V1_2/argmax_2_float.mod.py
deleted file mode 100644
index f1fb189..0000000
--- a/nn/runtime/test/specs/V1_2/argmax_2_float.mod.py
+++ /dev/null
@@ -1,28 +0,0 @@
-#
-# Copyright (C) 2018 The Android Open Source Project
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-input0 = Input("input0", "TENSOR_FLOAT32", "{2, 2}")
-axis = Int32Scalar("axis", 0)
-output0 = Output("output", "TENSOR_INT32", "{2}")
-
-model = Model().Operation("ARGMAX", input0, axis).To(output0)
-
-Example(({
- input0: [1.0, 2.0,
- 4.0, 3.0],
-}, {
- output0: [1, 1],
-}))
diff --git a/nn/runtime/test/specs/V1_2/argmax_2_int32.mod.py b/nn/runtime/test/specs/V1_2/argmax_2_int32.mod.py
deleted file mode 100644
index ad0a1ce..0000000
--- a/nn/runtime/test/specs/V1_2/argmax_2_int32.mod.py
+++ /dev/null
@@ -1,28 +0,0 @@
-#
-# Copyright (C) 2018 The Android Open Source Project
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-input0 = Input("input0", "TENSOR_INT32", "{2, 2}")
-axis = Int32Scalar("axis", 0)
-output0 = Output("output", "TENSOR_INT32", "{2}")
-
-model = Model().Operation("ARGMAX", input0, axis).To(output0)
-
-Example(({
- input0: [1, 2,
- 4, 3],
-}, {
- output0: [1, 1],
-}))
diff --git a/nn/runtime/test/specs/V1_2/argmax_2_quant8.mod.py b/nn/runtime/test/specs/V1_2/argmax_2_quant8.mod.py
deleted file mode 100644
index abe5395..0000000
--- a/nn/runtime/test/specs/V1_2/argmax_2_quant8.mod.py
+++ /dev/null
@@ -1,28 +0,0 @@
-#
-# Copyright (C) 2018 The Android Open Source Project
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-input0 = Input("input0", "TENSOR_QUANT8_ASYMM", "{2, 2}, 1.0, 0")
-axis = Int32Scalar("axis", 0)
-output0 = Output("output", "TENSOR_INT32", "{2}")
-
-model = Model().Operation("ARGMAX", input0, axis).To(output0)
-
-Example(({
- input0: [1, 2,
- 4, 3],
-}, {
- output0: [1, 1],
-}))
diff --git a/nn/runtime/test/specs/V1_2/argmax_3_float.mod.py b/nn/runtime/test/specs/V1_2/argmax_3.mod.py
similarity index 85%
rename from nn/runtime/test/specs/V1_2/argmax_3_float.mod.py
rename to nn/runtime/test/specs/V1_2/argmax_3.mod.py
index 96a8348..ab7afc6 100644
--- a/nn/runtime/test/specs/V1_2/argmax_3_float.mod.py
+++ b/nn/runtime/test/specs/V1_2/argmax_3.mod.py
@@ -22,9 +22,12 @@
model = Model().Operation("ARGMAX", input0, axis).To(output0)
-Example(({
+quant8 = DataTypeConverter().Identify({
+ input0: ["TENSOR_QUANT8_ASYMM", 1.0, 0],
+})
+
+Example({
input0: [1.0, 2.0,
4.0, 3.0],
-}, {
output0: [1, 0],
-}))
+}).AddVariations("relaxed", "float16", "int32", quant8)
diff --git a/nn/runtime/test/specs/V1_2/argmin_1_float_relaxed.mod.py b/nn/runtime/test/specs/V1_2/argmin_1.mod.py
similarity index 84%
rename from nn/runtime/test/specs/V1_2/argmin_1_float_relaxed.mod.py
rename to nn/runtime/test/specs/V1_2/argmin_1.mod.py
index f58f2b8..e89ceea 100644
--- a/nn/runtime/test/specs/V1_2/argmin_1_float_relaxed.mod.py
+++ b/nn/runtime/test/specs/V1_2/argmin_1.mod.py
@@ -19,11 +19,13 @@
output0 = Output("output", "TENSOR_INT32", "{2}")
model = Model().Operation("ARGMIN", input0, axis).To(output0)
-model.RelaxedExecution(True)
-Example(({
+quant8 = DataTypeConverter().Identify({
+ input0: ["TENSOR_QUANT8_ASYMM", 1.0, 0],
+})
+
+Example({
input0: [1.0, 2.0,
4.0, 3.0],
-}, {
output0: [0, 1],
-}))
+}).AddVariations("relaxed", "float16", "int32", quant8)
diff --git a/nn/runtime/test/specs/V1_2/argmin_1_float.mod.py b/nn/runtime/test/specs/V1_2/argmin_1_float.mod.py
deleted file mode 100644
index 365177c..0000000
--- a/nn/runtime/test/specs/V1_2/argmin_1_float.mod.py
+++ /dev/null
@@ -1,28 +0,0 @@
-#
-# Copyright (C) 2018 The Android Open Source Project
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-input0 = Input("input0", "TENSOR_FLOAT32", "{2, 2}")
-axis = Int32Scalar("axis", 1)
-output0 = Output("output", "TENSOR_INT32", "{2}")
-
-model = Model().Operation("ARGMIN", input0, axis).To(output0)
-
-Example(({
- input0: [1.0, 2.0,
- 4.0, 3.0],
-}, {
- output0: [0, 1],
-}))
diff --git a/nn/runtime/test/specs/V1_2/argmin_1_int32.mod.py b/nn/runtime/test/specs/V1_2/argmin_1_int32.mod.py
deleted file mode 100644
index e2eef13..0000000
--- a/nn/runtime/test/specs/V1_2/argmin_1_int32.mod.py
+++ /dev/null
@@ -1,28 +0,0 @@
-#
-# Copyright (C) 2018 The Android Open Source Project
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-input0 = Input("input0", "TENSOR_INT32", "{2, 2}")
-axis = Int32Scalar("axis", 1)
-output0 = Output("output", "TENSOR_INT32", "{2}")
-
-model = Model().Operation("ARGMIN", input0, axis).To(output0)
-
-Example(({
- input0: [1, 2,
- 4, 3],
-}, {
- output0: [0, 1],
-}))
diff --git a/nn/runtime/test/specs/V1_2/argmin_1_quant8.mod.py b/nn/runtime/test/specs/V1_2/argmin_1_quant8.mod.py
deleted file mode 100644
index 994af14..0000000
--- a/nn/runtime/test/specs/V1_2/argmin_1_quant8.mod.py
+++ /dev/null
@@ -1,28 +0,0 @@
-#
-# Copyright (C) 2018 The Android Open Source Project
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-input0 = Input("input0", "TENSOR_QUANT8_ASYMM", "{2, 2}, 1.0, 0")
-axis = Int32Scalar("axis", 1)
-output0 = Output("output", "TENSOR_INT32", "{2}")
-
-model = Model().Operation("ARGMIN", input0, axis).To(output0)
-
-Example(({
- input0: [1, 2,
- 4, 3],
-}, {
- output0: [0, 1],
-}))
diff --git a/nn/runtime/test/specs/V1_2/argmin_2_float.mod.py b/nn/runtime/test/specs/V1_2/argmin_2.mod.py
similarity index 84%
rename from nn/runtime/test/specs/V1_2/argmin_2_float.mod.py
rename to nn/runtime/test/specs/V1_2/argmin_2.mod.py
index 1640a80..e54cff7 100644
--- a/nn/runtime/test/specs/V1_2/argmin_2_float.mod.py
+++ b/nn/runtime/test/specs/V1_2/argmin_2.mod.py
@@ -20,9 +20,12 @@
model = Model().Operation("ARGMIN", input0, axis).To(output0)
-Example(({
+quant8 = DataTypeConverter().Identify({
+ input0: ["TENSOR_QUANT8_ASYMM", 1.0, 0],
+})
+
+Example({
input0: [1.0, 2.0,
4.0, 3.0],
-}, {
output0: [0, 0],
-}))
+}).AddVariations("relaxed", "float16", "int32", quant8)
diff --git a/nn/runtime/test/specs/V1_2/argmin_2_float_relaxed.mod.py b/nn/runtime/test/specs/V1_2/argmin_2_float_relaxed.mod.py
deleted file mode 100644
index 1b9147e..0000000
--- a/nn/runtime/test/specs/V1_2/argmin_2_float_relaxed.mod.py
+++ /dev/null
@@ -1,29 +0,0 @@
-#
-# Copyright (C) 2018 The Android Open Source Project
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-input0 = Input("input0", "TENSOR_FLOAT32", "{2, 2}")
-axis = Int32Scalar("axis", 0)
-output0 = Output("output", "TENSOR_INT32", "{2}")
-
-model = Model().Operation("ARGMIN", input0, axis).To(output0)
-model.RelaxedExecution(True)
-
-Example(({
- input0: [1.0, 2.0,
- 4.0, 3.0],
-}, {
- output0: [0, 0],
-}))
diff --git a/nn/runtime/test/specs/V1_2/argmin_2_int32.mod.py b/nn/runtime/test/specs/V1_2/argmin_2_int32.mod.py
deleted file mode 100644
index 0dd11e3..0000000
--- a/nn/runtime/test/specs/V1_2/argmin_2_int32.mod.py
+++ /dev/null
@@ -1,28 +0,0 @@
-#
-# Copyright (C) 2018 The Android Open Source Project
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-input0 = Input("input0", "TENSOR_INT32", "{2, 2}")
-axis = Int32Scalar("axis", 0)
-output0 = Output("output", "TENSOR_INT32", "{2}")
-
-model = Model().Operation("ARGMIN", input0, axis).To(output0)
-
-Example(({
- input0: [1, 2,
- 4, 3],
-}, {
- output0: [0, 0],
-}))
diff --git a/nn/runtime/test/specs/V1_2/argmin_2_quant8.mod.py b/nn/runtime/test/specs/V1_2/argmin_2_quant8.mod.py
deleted file mode 100644
index 620836a..0000000
--- a/nn/runtime/test/specs/V1_2/argmin_2_quant8.mod.py
+++ /dev/null
@@ -1,28 +0,0 @@
-#
-# Copyright (C) 2018 The Android Open Source Project
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-input0 = Input("input0", "TENSOR_QUANT8_ASYMM", "{2, 2}, 1.0, 0")
-axis = Int32Scalar("axis", 0)
-output0 = Output("output", "TENSOR_INT32", "{2}")
-
-model = Model().Operation("ARGMIN", input0, axis).To(output0)
-
-Example(({
- input0: [1, 2,
- 4, 3],
-}, {
- output0: [0, 0],
-}))
diff --git a/nn/runtime/test/specs/V1_2/argmin_3_float.mod.py b/nn/runtime/test/specs/V1_2/argmin_3.mod.py
similarity index 85%
rename from nn/runtime/test/specs/V1_2/argmin_3_float.mod.py
rename to nn/runtime/test/specs/V1_2/argmin_3.mod.py
index 493dc1a..d3cbd76 100644
--- a/nn/runtime/test/specs/V1_2/argmin_3_float.mod.py
+++ b/nn/runtime/test/specs/V1_2/argmin_3.mod.py
@@ -22,9 +22,12 @@
model = Model().Operation("ARGMIN", input0, axis).To(output0)
-Example(({
+quant8 = DataTypeConverter().Identify({
+ input0: ["TENSOR_QUANT8_ASYMM", 1.0, 0],
+})
+
+Example({
input0: [1.0, 2.0,
4.0, 3.0],
-}, {
output0: [0, 1],
-}))
+}).AddVariations("relaxed", "float16", "int32", quant8)
diff --git a/nn/runtime/test/specs/V1_2/batch_to_space_v1_2.mod.py b/nn/runtime/test/specs/V1_2/batch_to_space_v1_2.mod.py
index 576f4be..e7247bf 100644
--- a/nn/runtime/test/specs/V1_2/batch_to_space_v1_2.mod.py
+++ b/nn/runtime/test/specs/V1_2/batch_to_space_v1_2.mod.py
@@ -31,7 +31,7 @@
example = Example({
i1: [1.4, 2.3, 3.2, 4.1, 5.4, 6.3, 7.2, 8.1],
o1: [1.4, 2.3, 3.2, 4.1, 5.4, 6.3, 7.2, 8.1]
-}).AddNchw(i1, o1, layout).AddVariations("relaxed", quant8)
+}).AddNchw(i1, o1, layout).AddVariations("relaxed", "float16", quant8)
# TEST 2: BATCH_TO_SPACE_NCHW_2, block_size = [2, 2]
@@ -49,4 +49,4 @@
example = Example({
i2: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16],
o2: [1, 5, 2, 6, 9, 13, 10, 14, 3, 7, 4, 8, 11, 15, 12, 16]
-}).AddNchw(i2, o2, layout).AddVariations("relaxed", quant8)
+}).AddNchw(i2, o2, layout).AddVariations("relaxed", "float16", quant8)
diff --git a/nn/runtime/test/specs/V1_2/concat_mixed_quant.mod.py b/nn/runtime/test/specs/V1_2/concat_mixed_quant.mod.py
new file mode 100644
index 0000000..6610fea
--- /dev/null
+++ b/nn/runtime/test/specs/V1_2/concat_mixed_quant.mod.py
@@ -0,0 +1,56 @@
+#
+# Copyright (C) 2018 The Android Open Source Project
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+# Adapted from tensorflow/lite/kernels/concatenation_test.cc
+
+input0 = Input("input0", "TENSOR_FLOAT32", "{2, 1, 2}")
+input1 = Input("input1", "TENSOR_FLOAT32", "{2, 1, 2}")
+input2 = Input("input2", "TENSOR_FLOAT32", "{2, 1, 2}")
+input3 = Input("input3", "TENSOR_FLOAT32", "{2, 1, 2}")
+axis = 2
+output0 = Output("output0", "TENSOR_FLOAT32", "{2, 1, 8}")
+
+model = Model().Operation("CONCATENATION", input0, input1, input2, input3, axis).To(output0)
+
+# FourInputsQuantizedMixedRange
+Example({
+ input0: [1.0, -3.0, -4.0, -7.0],
+ input1: [1.1, 3.1, 4.1, 7.1],
+ input2: [1.2, -3.2, -4.2, 7.2],
+ input3: [1.3, 3.3, 4.3, 7.3],
+ output0: [1.0, -3.0, 1.1, 3.1, 1.2, -3.2, 1.3, 3.3, -4.0, -7.0, 4.1, 7.1, -4.2, 7.2, 4.3, 7.3],
+}).AddVariations(DataTypeConverter().Identify({
+ input0: ["TENSOR_QUANT8_ASYMM", 0.084, 127],
+ input1: ["TENSOR_QUANT8_ASYMM", 0.05, 0],
+ input2: ["TENSOR_QUANT8_ASYMM", 0.089, 123],
+ input3: ["TENSOR_QUANT8_ASYMM", 0.029, 0],
+ output0: ["TENSOR_QUANT8_ASYMM", 0.1, 127],
+}), includeDefault=False)
+
+# FourInputsQuantizedMixedRangeClampingLogic
+Example({
+ input0: [1.0, -3.0, -4.0, -7.0],
+ input1: [1.1, 3.1, 4.1, 7.1],
+ input2: [1.2, -3.2, -4.2, 7.2],
+ input3: [1.3, 3.3, 4.3, 7.3],
+ output0: [1.0, -1.0, 1.0, 1.0, 1.0, -1.0, 1.0, 1.0, -1.0, -1.0, 1.0, 1.0, -1.0, 1.0, 1.0, 1.0]
+}).AddVariations(DataTypeConverter().Identify({
+ input0: ["TENSOR_QUANT8_ASYMM", 0.084, 127],
+ input1: ["TENSOR_QUANT8_ASYMM", 0.05, 0],
+ input2: ["TENSOR_QUANT8_ASYMM", 0.089, 123],
+ input3: ["TENSOR_QUANT8_ASYMM", 0.029, 0],
+ output0: ["TENSOR_QUANT8_ASYMM", 0.0078125, 127],
+}), includeDefault=False)
diff --git a/nn/runtime/test/specs/V1_2/depth_to_space_v1_2.mod.py b/nn/runtime/test/specs/V1_2/depth_to_space_v1_2.mod.py
index 10fa153..8d9de4b 100644
--- a/nn/runtime/test/specs/V1_2/depth_to_space_v1_2.mod.py
+++ b/nn/runtime/test/specs/V1_2/depth_to_space_v1_2.mod.py
@@ -31,7 +31,7 @@
example = Example({
i1: [1.4, 2.3, 3.2, 4.1, 5.4, 6.3, 7.2, 8.1],
o1: [1.4, 2.3, 3.2, 4.1, 5.4, 6.3, 7.2, 8.1]
-}).AddNchw(i1, o1, layout).AddVariations("relaxed", quant8)
+}).AddNchw(i1, o1, layout).AddVariations("relaxed", "float16", quant8)
# TEST 2: DEPTH_TO_SPACE_NCHW_2, block_size = 2
@@ -49,7 +49,7 @@
example = Example({
i2: [1., 2., 5., 6., 3., 4., 7., 8., 9., 10., 13., 14., 11., 12., 15., 16.],
o2: [1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13., 14., 15., 16.]
-}).AddNchw(i2, o2, layout).AddVariations("relaxed", quant8)
+}).AddNchw(i2, o2, layout).AddVariations("relaxed", "float16", quant8)
# TEST 3: DEPTH_TO_SPACE_NCHW_3, block_size = 2
@@ -73,4 +73,4 @@
14, 24, 15, 25, 16, 26, 17, 27,
18, 28, 19, 29, 110, 210, 111, 211,
112, 212, 113, 213, 114, 214, 115, 215]
-}).AddNchw(i3, o3, layout).AddVariations("relaxed", quant8)
+}).AddNchw(i3, o3, layout).AddVariations("relaxed", "float16", quant8)
diff --git a/nn/runtime/test/specs/V1_2/depthwise_conv2d_v1_2.mod.py b/nn/runtime/test/specs/V1_2/depthwise_conv2d_v1_2.mod.py
index b813749..02a20d8 100644
--- a/nn/runtime/test/specs/V1_2/depthwise_conv2d_v1_2.mod.py
+++ b/nn/runtime/test/specs/V1_2/depthwise_conv2d_v1_2.mod.py
@@ -40,7 +40,7 @@
11, 3, 7.4, 10.9,
11, 3, 7.8, 11.5,
11, 3, 8.0, 11.8]
-}).AddNchw(i1, o1, layout).AddInput(f1, b1).AddVariations("relaxed", quant8)
+}).AddNchw(i1, o1, layout).AddInput(f1, b1).AddVariations("relaxed", "float16", quant8)
# TEST 2: DEPTHWISE_CONV2D_NCHW_2, pad = valid, stride = 1, cm = 2, act = none
@@ -62,7 +62,7 @@
example = Example({
i2: [1, 2, 7, 8, 3, 4, 9, 10, 5, 6, 11, 12],
o2: [71, -34, 99, -20, 91, -26, 127, -4]
-}).AddNchw(i2, o2, layout).AddInput(f2, b2).AddVariations("relaxed", quant8)
+}).AddNchw(i2, o2, layout).AddInput(f2, b2).AddVariations("relaxed", "float16", quant8)
# TEST 3: DEPTHWISE_CONV2D_NCHW_LARGE, pad = 0, stride = 1, cm = 1, act = none
@@ -84,7 +84,7 @@
example = Example({
i3: [10, 21, 10, 22, 10, 23, 10, 24],
o3: [110, 246]
-}).AddNchw(i3, o3, layout).AddInput(f3, b3).AddVariations("relaxed", quant8)
+}).AddNchw(i3, o3, layout).AddInput(f3, b3).AddVariations("relaxed", "float16", quant8)
# TEST 4: DEPTHWISE_CONV2D_NCHW_LARGE, pad = 0, stride = 1, cm = 1, act = none
@@ -109,4 +109,4 @@
10, 23, 30, 0,
10, 24, 40, 0],
o4: [6010, 7046, 11000, 9000]
-}).AddNchw(i4, o4, layout).AddInput(f4, b4).AddVariations("relaxed", quant8)
+}).AddNchw(i4, o4, layout).AddInput(f4, b4).AddVariations("relaxed", "float16", quant8)
diff --git a/nn/runtime/test/specs/V1_2/pad_float16.mod.py b/nn/runtime/test/specs/V1_2/pad_float16.mod.py
new file mode 100644
index 0000000..7a6b29c
--- /dev/null
+++ b/nn/runtime/test/specs/V1_2/pad_float16.mod.py
@@ -0,0 +1,20 @@
+# model
+model = Model()
+i1 = Input("op1", "TENSOR_FLOAT16", "{1, 2, 2, 1}")
+i2 = Parameter("op2", "TENSOR_INT32", "{4, 2}", [0, 0, 1, 1, 1, 1, 0, 0])
+i3 = Output("op3", "TENSOR_FLOAT16", "{1, 4, 4, 1}")
+model = model.Operation("PAD", i1, i2).To(i3)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+ [1.0, 2.0,
+ 3.0, 4.0,]}
+
+output0 = {i3: # output 0
+ [0.0, 0.0, 0.0, 0.0,
+ 0.0, 1.0, 2.0, 0.0,
+ 0.0, 3.0, 4.0, 0.0,
+ 0.0, 0.0, 0.0, 0.0]}
+
+# Instantiate an example
+Example((input0, output0))
diff --git a/nn/runtime/test/specs/V1_2/pad_v2_1_float.mod.py b/nn/runtime/test/specs/V1_2/pad_v2_1_float.mod.py
index 2833b14..f6caa0f 100644
--- a/nn/runtime/test/specs/V1_2/pad_v2_1_float.mod.py
+++ b/nn/runtime/test/specs/V1_2/pad_v2_1_float.mod.py
@@ -32,4 +32,4 @@
9.3, 4.0, 5.0, 6.0, 9.3, 9.3, 9.3,
9.3, 9.3, 9.3, 9.3, 9.3, 9.3, 9.3,
9.3, 9.3, 9.3, 9.3, 9.3, 9.3, 9.3],
-}))
+})).AddVariations("float16")
diff --git a/nn/runtime/test/specs/V1_2/reshape_float16.mod.py b/nn/runtime/test/specs/V1_2/reshape_float16.mod.py
new file mode 100644
index 0000000..f54cba6
--- /dev/null
+++ b/nn/runtime/test/specs/V1_2/reshape_float16.mod.py
@@ -0,0 +1,18 @@
+# model
+model = Model()
+i1 = Input("op1", "TENSOR_FLOAT16", "{1, 1, 3, 3}") # a line of 3 pixels, 3 components/pixel
+i2 = Parameter("op2", "TENSOR_INT32", "{1}", [-1]) # another vector of 2 float32s
+i3 = Output("op3", "TENSOR_FLOAT16", "{9}")
+model = model.Operation("RESHAPE", i1, i2).To(i3)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+ [1, 2, 3,
+ 4, 5, 6,
+ 7, 8, 9]}
+
+output0 = {i3: # output 0
+ [1, 2, 3, 4, 5, 6, 7, 8, 9]}
+
+# Instantiate an example
+Example((input0, output0))
diff --git a/nn/runtime/test/specs/V1_2/resize_bilinear_v1_2.mod.py b/nn/runtime/test/specs/V1_2/resize_bilinear_v1_2.mod.py
index c7760b0..1ff400d 100644
--- a/nn/runtime/test/specs/V1_2/resize_bilinear_v1_2.mod.py
+++ b/nn/runtime/test/specs/V1_2/resize_bilinear_v1_2.mod.py
@@ -27,7 +27,7 @@
o1: [1.0, 1.0, 1.0,
1.666666667, 1.666666667, 1.666666667,
2.0, 2.0, 2.0]
-}).AddNchw(i1, o1, layout).AddRelaxed()
+}).AddNchw(i1, o1, layout).AddVariations("relaxed", "float16")
# TEST 2: RESIZE_BILINEAR_NCHW_2, h = 3, w = 3
@@ -41,4 +41,4 @@
o2: [3, 4, 5, 8, 6, 10,
7, 8, 9, 12, 10, 14,
9, 10, 11, 14, 12, 16,]
-}).AddNchw(i2, o2, layout).AddRelaxed()
+}).AddNchw(i2, o2, layout).AddVariations("relaxed", "float16")
diff --git a/nn/runtime/test/specs/V1_2/roi_pooling.mod.py b/nn/runtime/test/specs/V1_2/roi_pooling.mod.py
new file mode 100644
index 0000000..243bb76
--- /dev/null
+++ b/nn/runtime/test/specs/V1_2/roi_pooling.mod.py
@@ -0,0 +1,94 @@
+#
+# Copyright (C) 2018 The Android Open Source Project
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+layout = BoolScalar("layout", False) # NHWC
+
+# TEST 1: ROI_ALIGN_1, outputShape = [2, 2], spatialScale = 0.5, samplingRatio = 4
+i1 = Input("in", "TENSOR_FLOAT32", "{1, 4, 4, 1}")
+roi1 = Input("roi", "TENSOR_FLOAT32", "{4, 4}")
+o1 = Output("out", "TENSOR_FLOAT32", "{4, 2, 2, 1}")
+Model().Operation("ROI_POOLING", i1, roi1, [2, 2], 0.5, layout).To(o1)
+
+quant8 = DataTypeConverter().Identify({
+ i1: ("TENSOR_QUANT8_ASYMM", 0.25, 128),
+ o1: ("TENSOR_QUANT8_ASYMM", 0.25, 128)
+})
+
+# Instantiate an example
+Example({
+ i1: [
+ -10, -1, 4, -5,
+ -8, -2, 9, 1,
+ 7, -2, 3, -7,
+ -2, 10, -3, 5
+ ],
+ roi1: [
+ 2, 2, 4, 4,
+ 0, 0, 6, 6,
+ 2, 0, 4, 6,
+ 0, 2, 6, 4
+ ],
+ o1: [
+ -2, 9, -2, 3,
+ -1, 9, 10, 5,
+ -1, 9, 10, 3,
+ -2, 9, 7, 3
+ ]
+}).AddNchw(i1, o1, layout).AddVariations("relaxed", quant8)
+
+
+# TEST 2: ROI_ALIGN_2, outputShape = [2, 3], spatialScale = 0.25, samplingRatio = 4
+i2 = Input("in", "TENSOR_FLOAT32", "{2, 4, 8, 2}")
+roi2 = Input("roi", "TENSOR_FLOAT32", "{4, 5}")
+o2 = Output("out", "TENSOR_FLOAT32", "{4, 2, 3, 2}")
+Model().Operation("ROI_POOLING", i2, roi2, [2, 3], 0.25, layout).To(o2)
+
+quant8 = DataTypeConverter().Identify({
+ i2: ("TENSOR_QUANT8_ASYMM", 0.04, 0),
+ o2: ("TENSOR_QUANT8_ASYMM", 0.04, 0)
+})
+
+# Instantiate an example
+Example({
+ i2: [
+ 8.84, 8.88, 7.41, 5.60, 9.95, 4.37, 0.10, 7.64, 6.50, 9.47,
+ 7.55, 3.00, 0.89, 3.01, 6.30, 4.40, 1.64, 6.74, 6.16, 8.60,
+ 5.85, 3.17, 7.12, 6.79, 5.77, 6.62, 5.13, 8.44, 5.08, 7.12,
+ 2.84, 1.19, 8.37, 0.90, 7.86, 9.69, 1.97, 1.31, 4.42, 9.89,
+ 0.18, 9.00, 9.30, 0.44, 5.05, 6.47, 1.09, 9.50, 1.30, 2.18,
+ 2.05, 7.74, 7.66, 0.65, 4.18, 7.14, 5.35, 7.90, 1.04, 1.47,
+ 9.01, 0.95, 4.07, 0.65,
+ 5.47, 2.64, 0.86, 4.86, 2.38, 2.45, 8.77, 0.06, 3.60, 9.28,
+ 5.84, 8.97, 6.89, 1.43, 3.90, 5.91, 7.40, 9.25, 3.12, 4.92,
+ 1.87, 3.22, 9.50, 6.73, 2.07, 7.30, 3.07, 4.97, 0.24, 8.91,
+ 1.09, 0.27, 7.29, 6.94, 2.31, 6.88, 4.33, 1.37, 0.86, 0.46,
+ 6.07, 3.81, 0.86, 6.99, 4.36, 1.92, 8.19, 3.57, 7.90, 6.78,
+ 4.64, 6.82, 6.18, 9.63, 2.63, 2.33, 1.36, 2.70, 9.99, 9.85,
+ 8.06, 4.80, 7.80, 5.43
+ ],
+ roi2: [
+ 0, 4, 4, 24, 8,
+ 0, 4, 4, 28, 12,
+ 1, 7, 1, 25, 11, # test rounding
+ 1, 1, 7, 5, 11 # test roi with shape smaller than output
+ ],
+ o2: [
+ 6.16, 8.60, 7.12, 6.79, 5.13, 8.44, 7.86, 9.69, 4.42, 9.89, 9.30, 6.47,
+ 7.86, 9.89, 9.30, 9.89, 9.30, 9.50, 7.86, 9.89, 9.30, 9.89, 9.30, 9.50,
+ 9.50, 6.73, 9.50, 9.28, 6.89, 8.97, 6.18, 9.63, 9.99, 9.85, 9.99, 9.85,
+ 7.29, 6.94, 7.29, 6.94, 2.31, 6.88, 7.90, 6.78, 7.90, 6.82, 4.64, 6.82
+ ]
+}).AddNchw(i2, o2, layout).AddVariations("relaxed", quant8)
diff --git a/nn/runtime/test/specs/V1_2/slice.mod.py b/nn/runtime/test/specs/V1_2/slice.mod.py
new file mode 100644
index 0000000..6326f2e
--- /dev/null
+++ b/nn/runtime/test/specs/V1_2/slice.mod.py
@@ -0,0 +1,107 @@
+#
+# Copyright (C) 2018 The Android Open Source Project
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import collections
+
+TestCase = collections.namedtuple("TestCase", [
+ "inp", "inp_data", "begin", "begin_data", "size", "size_data", "output",
+ "output_data"
+])
+
+test_cases = [
+ TestCase(
+ inp=Input("input", "TENSOR_FLOAT32", "{4}"),
+ inp_data=[1, 2, 3, 4],
+ begin=Input("begin", "TENSOR_INT32", "{1}"),
+ begin_data=[1],
+ size=Input("size", "TENSOR_INT32", "{1}"),
+ size_data=[2],
+ output=Output("output", "TENSOR_FLOAT32", "{2}"),
+ output_data=[2, 3]),
+ TestCase(
+ inp=Input("input", "TENSOR_FLOAT32", "{2,3}"),
+ inp_data=[1, 2, 3, 4, 5, 6],
+ begin=Input("begin", "TENSOR_INT32", "{2}"),
+ begin_data=[1, 0],
+ size=Input("size", "TENSOR_INT32", "{2}"),
+ size_data=[1, 2],
+ output=Output("output", "TENSOR_FLOAT32", "{1, 2}"),
+ output_data=[4, 5]),
+ TestCase(
+ inp=Input("input", "TENSOR_FLOAT32", "{2,3,2}"),
+ inp_data=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12],
+ begin=Input("begin", "TENSOR_INT32", "{3}"),
+ begin_data=[0, 0, 0],
+ size=Input("size", "TENSOR_INT32", "{3}"),
+ size_data=[2, 3, 2],
+ output=Output("output", "TENSOR_FLOAT32", "{2, 3, 2}"),
+ output_data=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]),
+ TestCase(
+ inp=Input("input", "TENSOR_FLOAT32", "{4, 1, 1, 1}"),
+ inp_data=[1, 2, 3, 4],
+ begin=Input("begin", "TENSOR_INT32", "{4}"),
+ begin_data=[1, 0, 0, 0],
+ size=Input("size", "TENSOR_INT32", "{4}"),
+ size_data=[3, 1, 1, 1],
+ output=Output("output", "TENSOR_FLOAT32", "{3, 1, 1, 1}"),
+ output_data=[2, 3, 4]),
+ TestCase(
+ inp=Input("input", "TENSOR_INT32", "{3, 2, 3, 1}"),
+ inp_data=[1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6],
+ begin=Input("begin", "TENSOR_INT32", "{4}"),
+ begin_data=[1, 0, 0, 0],
+ size=Input("size", "TENSOR_INT32", "{4}"),
+ size_data=[1, 1, 3, 1],
+ output=Output("output", "TENSOR_INT32", "{1, 1, 3, 1}"),
+ output_data=[3, 3, 3]),
+ TestCase(
+ inp=Input("input", "TENSOR_INT32", "{3, 2, 3, 1}"),
+ inp_data=[1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6],
+ begin=Input("begin", "TENSOR_INT32", "{4}"),
+ begin_data=[1, 0, 0, 0],
+ size=Input("size", "TENSOR_INT32", "{4}"),
+ size_data=[2, 1, 3, 1],
+ output=Output("output", "TENSOR_INT32", "{2, 1, 3, 1}"),
+ output_data=[3, 3, 3, 5, 5, 5]),
+ TestCase(
+ inp=Input("input", "TENSOR_QUANT8_ASYMM", "{3, 2, 3, 1}, 2.0, 128"),
+ inp_data=[1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6],
+ begin=Input("begin", "TENSOR_INT32", "{4}"),
+ begin_data=[1, 0, 0, 0],
+ size=Input("size", "TENSOR_INT32", "{4}"),
+ size_data=[2, 1, 3, 1],
+ output=Output("output", "TENSOR_QUANT8_ASYMM", "{2, 1, 3, 1}, 2.0, 128"),
+ output_data=[3, 3, 3, 5, 5, 5]),
+ TestCase(
+ inp=Input("input", "TENSOR_INT32", "{3, 2, 3, 1}"),
+ inp_data=[1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6],
+ begin=Input("begin", "TENSOR_INT32", "{4}"),
+ begin_data=[1, 0, 0, 0],
+ size=Input("size", "TENSOR_INT32", "{4}"),
+ size_data=[2, 1, -1, 1],
+ output=Output("output", "TENSOR_INT32", "{2, 1, 3, 1}"),
+ output_data=[3, 3, 3, 5, 5, 5]),
+]
+
+for test_case in test_cases:
+ model = Model().Operation("SLICE", test_case.inp, test_case.begin,
+ test_case.size).To(test_case.output)
+ Example({
+ test_case.inp: test_case.inp_data,
+ test_case.begin: test_case.begin_data,
+ test_case.size: test_case.size_data,
+ test_case.output: test_case.output_data,
+ },
+ model=model).AddVariations("relaxed", "float16")
diff --git a/nn/runtime/test/specs/V1_2/space_to_batch_v1_2.mod.py b/nn/runtime/test/specs/V1_2/space_to_batch_v1_2.mod.py
index 73ce1eb..dfe234f 100644
--- a/nn/runtime/test/specs/V1_2/space_to_batch_v1_2.mod.py
+++ b/nn/runtime/test/specs/V1_2/space_to_batch_v1_2.mod.py
@@ -32,7 +32,7 @@
example = Example({
i1: [1.4, 2.3, 3.2, 4.1, 5.4, 6.3, 7.2, 8.1],
o1: [1.4, 2.3, 3.2, 4.1, 5.4, 6.3, 7.2, 8.1]
-}).AddNchw(i1, o1, layout).AddVariations("relaxed", quant8)
+}).AddNchw(i1, o1, layout).AddVariations("relaxed", "float16", quant8)
# TEST 2: SPACE_TO_BATCH_NCHW_2, block_size = [2, 2]
@@ -50,7 +50,7 @@
example = Example({
i2: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16],
o2: [1, 3, 9, 11, 2, 4, 10, 12, 5, 7, 13, 15, 6, 8, 14, 16]
-}).AddNchw(i2, o2, layout).AddVariations("relaxed", quant8)
+}).AddNchw(i2, o2, layout).AddVariations("relaxed", "float16", quant8)
# TEST 3: SPACE_TO_BATCH_NCHW_3, block_size = [3, 2]
@@ -70,7 +70,7 @@
i3: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
o3: [0, 0, 0, 5, 0, 0, 0, 6, 0, 1, 0, 7,
0, 2, 0, 8, 0, 3, 0, 9, 0, 4, 0, 10]
-}).AddNchw(i3, o3, layout).AddVariations("relaxed", quant8)
+}).AddNchw(i3, o3, layout).AddVariations("relaxed", "float16", quant8)
# TEST 4: SPACE_TO_BATCH_NCHW_4, block_size = [3, 2]
@@ -91,4 +91,4 @@
o4: [0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0,
0, 1, 0, 0, 0, 7, 0, 0, 0, 2, 0, 0, 0, 8, 0, 0,
0, 3, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0]
-}).AddNchw(i4, o4, layout).AddVariations("relaxed", quant8)
+}).AddNchw(i4, o4, layout).AddVariations("relaxed", "float16", quant8)
diff --git a/nn/runtime/test/specs/V1_2/space_to_depth_v1_2.mod.py b/nn/runtime/test/specs/V1_2/space_to_depth_v1_2.mod.py
index 017d2c9..9f1a799 100644
--- a/nn/runtime/test/specs/V1_2/space_to_depth_v1_2.mod.py
+++ b/nn/runtime/test/specs/V1_2/space_to_depth_v1_2.mod.py
@@ -31,7 +31,7 @@
example = Example({
i1: [1.4, 2.3, 3.2, 4.1, 5.4, 6.3, 7.2, 8.1],
o1: [1.4, 2.3, 3.2, 4.1, 5.4, 6.3, 7.2, 8.1]
-}).AddNchw(i1, o1, layout).AddVariations("relaxed", quant8)
+}).AddNchw(i1, o1, layout).AddVariations("relaxed", "float16", quant8)
# TEST 2: SPACE_TO_DEPTH_NCHW_2, block_size = 2
@@ -49,7 +49,7 @@
example = Example({
i2: [1., 2., 5., 6., 3., 4., 7., 8., 9., 10., 13., 14., 11., 12., 15., 16.],
o2: [1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13., 14., 15., 16.]
-}).AddNchw(i2, o2, layout).AddVariations("relaxed", quant8)
+}).AddNchw(i2, o2, layout).AddVariations("relaxed", "float16", quant8)
# TEST 3: SPACE_TO_DEPTH_NCHW_3, block_size = 2
@@ -73,4 +73,4 @@
12, 22, 13, 23, 16, 26, 17, 27,
18, 28, 19, 29, 112, 212, 113, 213,
110, 210, 111, 211, 114, 214, 115, 215]
-}).AddNchw(i3, o3, layout).AddVariations("relaxed", quant8)
+}).AddNchw(i3, o3, layout).AddVariations("relaxed", "float16", quant8)
diff --git a/nn/runtime/test/specs/V1_2/squeeze_float16.mod.py b/nn/runtime/test/specs/V1_2/squeeze_float16.mod.py
new file mode 100644
index 0000000..e5f18a5
--- /dev/null
+++ b/nn/runtime/test/specs/V1_2/squeeze_float16.mod.py
@@ -0,0 +1,16 @@
+model = Model()
+i1 = Input("input", "TENSOR_FLOAT16", "{4, 1, 1, 2}")
+squeezeDims = Parameter("squeezeDims", "TENSOR_INT32", "{2}", [1, 2])
+output = Output("output", "TENSOR_FLOAT16", "{4, 2}")
+
+model = model.Operation("SQUEEZE", i1, squeezeDims).To(output)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+ [1.4, 2.3, 3.2, 4.1, 5.4, 6.3, 7.2, 8.1]}
+
+output0 = {output: # output 0
+ [1.4, 2.3, 3.2, 4.1, 5.4, 6.3, 7.2, 8.1]}
+
+# Instantiate an example
+Example((input0, output0))
diff --git a/nn/runtime/test/specs/V1_2/strided_slice_float16.mod.py b/nn/runtime/test/specs/V1_2/strided_slice_float16.mod.py
new file mode 100644
index 0000000..88735f5
--- /dev/null
+++ b/nn/runtime/test/specs/V1_2/strided_slice_float16.mod.py
@@ -0,0 +1,23 @@
+model = Model()
+i1 = Input("input", "TENSOR_FLOAT16", "{2, 3}")
+begins = Parameter("begins", "TENSOR_INT32", "{2}", [0, 0])
+ends = Parameter("ends", "TENSOR_INT32", "{2}", [2, 3])
+strides = Parameter("strides", "TENSOR_INT32", "{2}", [2, 2])
+beginMask = Int32Scalar("beginMask", 0)
+endMask = Int32Scalar("endMask", 0)
+shrinkAxisMask = Int32Scalar("shrinkAxisMask", 0)
+
+output = Output("output", "TENSOR_FLOAT16", "{1, 2}")
+
+model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+ [1.0, 2.0, 3.0,
+ 4.0, 5.0, 6.0]}
+
+output0 = {output: # output 0
+ [1.0, 3.0]}
+
+# Instantiate an example
+Example((input0, output0))
diff --git a/nn/runtime/test/specs/V1_2/transpose_float16.mod.py b/nn/runtime/test/specs/V1_2/transpose_float16.mod.py
new file mode 100644
index 0000000..79b3796
--- /dev/null
+++ b/nn/runtime/test/specs/V1_2/transpose_float16.mod.py
@@ -0,0 +1,18 @@
+model = Model()
+i1 = Input("input", "TENSOR_FLOAT16", "{1, 2, 2, 1}")
+perms = Parameter("perms", "TENSOR_INT32", "{4}", [0, 2, 1, 3])
+output = Output("output", "TENSOR_FLOAT16", "{1, 2, 2, 1}")
+
+model = model.Operation("TRANSPOSE", i1, perms).To(output)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+ [1.0, 2.0,
+ 3.0, 4.0]}
+
+output0 = {output: # output 0
+ [1.0, 3.0,
+ 2.0, 4.0]}
+
+# Instantiate an example
+Example((input0, output0))
diff --git a/nn/tools/test_generator/cts_generator.py b/nn/tools/test_generator/cts_generator.py
index 07d6d18..e818695 100755
--- a/nn/tools/test_generator/cts_generator.py
+++ b/nn/tools/test_generator/cts_generator.py
@@ -213,7 +213,8 @@
# Dump Example file for Cts tests
def DumpCtsExample(example, example_fd):
- print("std::vector<MixedTypedExample> %s = {"%(example.examplesName), file=example_fd)
+ print("std::vector<MixedTypedExample>& get_%s() {" % (example.examplesName), file=example_fd)
+ print("static std::vector<MixedTypedExample> %s = {" % (example.examplesName), file=example_fd)
for inputFeedDict, outputFeedDict in example.feedDicts:
print ('// Begin of an example', file = example_fd)
print ('{\n.operands = {', file = example_fd)
@@ -226,6 +227,8 @@
print ('.expectedMultinomialDistributionTolerance = %f' %
example.expectedMultinomialDistributionTolerance, file = example_fd)
print ('}, // End of an example', file = example_fd)
+ print("};", file=example_fd)
+ print("return %s;" % (example.examplesName), file=example_fd)
print("};\n", file=example_fd)
# Dump Test file for Cts tests
@@ -234,7 +237,7 @@
TEST_F(GeneratedTests, {test_name}) {{
execute({namespace}::{create_model_name},
{namespace}::{is_ignored_name},
- {namespace}::{examples_name}{log_file});\n}}\n"""
+ {namespace}::get_{examples_name}(){log_file});\n}}\n"""
print(testTemplate.format(
test_name=str(example.testName),
namespace=tg.FileNames.specName,
diff --git a/nn/tools/test_generator/vts_generator.py b/nn/tools/test_generator/vts_generator.py
index 68403c8..ca1fe2f 100755
--- a/nn/tools/test_generator/vts_generator.py
+++ b/nn/tools/test_generator/vts_generator.py
@@ -27,6 +27,7 @@
import argparse
from functools import reduce
import math
+import numpy as np
import os
import re
import struct
@@ -121,6 +122,10 @@
binit += w.value
elif ty == "BOOL":
binit += [1 if x else 0 for x in w.value]
+ elif ty == "TENSOR_FLOAT16":
+ for f in w.value:
+ # The pack format for float16 is not available until Python 3.6.
+ binit += [int(x) for x in np.float16(f).tostring()]
elif ty in {"TENSOR_FLOAT32", "FLOAT32", "TENSOR_INT32", "INT32"}:
fmt = "f" if (ty == "TENSOR_FLOAT32" or ty == "FLOAT32") else "i"
for f in w.value:
@@ -242,11 +247,11 @@
generated_tests::Execute(device,
{namespace}::{create_model_name},
{namespace}::{is_ignored_name},
- {namespace}::{examples_name});\n}}
+ {namespace}::get_{examples_name}());\n}}
TEST_F(ValidationTest, {test_name}) {{
const Model model = {namespace}::{create_model_name}();
- const std::vector<Request> requests = createRequests({namespace}::{examples_name});
+ const std::vector<Request> requests = createRequests({namespace}::get_{examples_name}());
validateModel(model);
validateRequests(model, requests);
}}\n
