blob: d8df0096c6f5f2a2f56de5477880828b968ba9c0 [file] [log] [blame]
// Generated from sqrt.mod.py
// DO NOT EDIT
// clang-format off
#include "TestGenerated.h"
namespace generated_tests::sqrt {
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_SQRT, {input0}, {output0});
// Phase 3, inputs and outputs
model->identifyInputsAndOutputs(
{input0},
{output0});
assert(model->isValid());
}
bool is_ignored(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace generated_tests::sqrt
namespace generated_tests::sqrt {
void CreateModel_dynamic_output_shape(Model *model) {
OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 3, 4, 5});
OperandType type1(Type::TENSOR_FLOAT32, {0, 0, 0, 0, 0});
// Phase 1, operands
auto input0 = model->addOperand(&type0);
auto output0 = model->addOperand(&type1);
// Phase 2, operations
model->addOperation(ANEURALNETWORKS_SQRT, {input0}, {output0});
// Phase 3, inputs and outputs
model->identifyInputsAndOutputs(
{input0},
{output0});
assert(model->isValid());
}
bool is_ignored_dynamic_output_shape(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace generated_tests::sqrt
namespace generated_tests::sqrt {
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_SQRT, {input0}, {output0});
// Phase 3, inputs and outputs
model->identifyInputsAndOutputs(
{input0},
{output0});
// Phase 4: set relaxed execution
model->relaxComputationFloat32toFloat16(true);
assert(model->isValid());
}
bool is_ignored_relaxed(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace generated_tests::sqrt
namespace generated_tests::sqrt {
void CreateModel_relaxed_dynamic_output_shape(Model *model) {
OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 3, 4, 5});
OperandType type1(Type::TENSOR_FLOAT32, {0, 0, 0, 0, 0});
// Phase 1, operands
auto input0 = model->addOperand(&type0);
auto output0 = model->addOperand(&type1);
// Phase 2, operations
model->addOperation(ANEURALNETWORKS_SQRT, {input0}, {output0});
// Phase 3, inputs and outputs
model->identifyInputsAndOutputs(
{input0},
{output0});
// Phase 4: set relaxed execution
model->relaxComputationFloat32toFloat16(true);
assert(model->isValid());
}
bool is_ignored_relaxed_dynamic_output_shape(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace generated_tests::sqrt
namespace generated_tests::sqrt {
void CreateModel_float16(Model *model) {
OperandType type2(Type::TENSOR_FLOAT16, {1, 2, 3, 4, 5});
// Phase 1, operands
auto input0 = model->addOperand(&type2);
auto output0 = model->addOperand(&type2);
// Phase 2, operations
model->addOperation(ANEURALNETWORKS_SQRT, {input0}, {output0});
// Phase 3, inputs and outputs
model->identifyInputsAndOutputs(
{input0},
{output0});
assert(model->isValid());
}
bool is_ignored_float16(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace generated_tests::sqrt
namespace generated_tests::sqrt {
void CreateModel_float16_dynamic_output_shape(Model *model) {
OperandType type2(Type::TENSOR_FLOAT16, {1, 2, 3, 4, 5});
OperandType type3(Type::TENSOR_FLOAT16, {0, 0, 0, 0, 0});
// Phase 1, operands
auto input0 = model->addOperand(&type2);
auto output0 = model->addOperand(&type3);
// Phase 2, operations
model->addOperation(ANEURALNETWORKS_SQRT, {input0}, {output0});
// Phase 3, inputs and outputs
model->identifyInputsAndOutputs(
{input0},
{output0});
assert(model->isValid());
}
bool is_ignored_float16_dynamic_output_shape(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace generated_tests::sqrt