blob: 1ca3d5b6d642201068b989a3daedb7b42f50ffc9 [file] [log] [blame]
//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "LayerSupportCommon.hpp"
#include "RefLayerSupport.hpp"
#include <armnn/Descriptors.hpp>
#include <armnn/Types.hpp>
#include <armnn/Tensor.hpp>
#include <boost/core/ignore_unused.hpp>
#include "InternalTypes.hpp"
using namespace boost;
namespace armnn
{
template<typename Float32Func, typename Uint8Func, typename ... Params>
bool IsSupportedForDataTypeRef(std::string* reasonIfUnsupported,
DataType dataType,
Float32Func floatFuncPtr,
Uint8Func uint8FuncPtr,
Params&&... params)
{
return IsSupportedForDataTypeGeneric(reasonIfUnsupported,
dataType,
&FalseFunc<Params...>,
floatFuncPtr,
uint8FuncPtr,
std::forward<Params>(params)...);
}
bool IsActivationSupportedRef(const TensorInfo& input,
const TensorInfo& output,
const ActivationDescriptor& descriptor,
std::string* reasonIfUnsupported)
{
ignore_unused(output);
ignore_unused(descriptor);
return IsSupportedForDataTypeRef(reasonIfUnsupported,
input.GetDataType(),
&TrueFunc<>,
&TrueFunc<>);
}
bool IsAdditionSupportedRef(const TensorInfo& input0,
const TensorInfo& input1,
const TensorInfo& output,
std::string* reasonIfUnsupported)
{
ignore_unused(input1);
ignore_unused(output);
return IsSupportedForDataTypeRef(reasonIfUnsupported,
input0.GetDataType(),
&TrueFunc<>,
&TrueFunc<>);
}
bool IsBatchNormalizationSupportedRef(const TensorInfo& input,
const TensorInfo& output,
const TensorInfo& mean,
const TensorInfo& var,
const TensorInfo& beta,
const TensorInfo& gamma,
const BatchNormalizationDescriptor& descriptor,
std::string* reasonIfUnsupported)
{
ignore_unused(descriptor);
return IsSupportedForDataTypeRef(reasonIfUnsupported,
input.GetDataType(),
&TrueFunc<>,
&TrueFunc<>);
}
bool IsConstantSupportedRef(const TensorInfo& output,
std::string* reasonIfUnsupported)
{
return IsSupportedForDataTypeRef(reasonIfUnsupported,
output.GetDataType(),
&TrueFunc<>,
&TrueFunc<>);
}
bool IsConvolution2dSupportedRef(const TensorInfo& input,
const TensorInfo& output,
const Convolution2dDescriptor& descriptor,
const TensorInfo& weights,
const boost::optional<TensorInfo>& biases,
std::string* reasonIfUnsupported)
{
ignore_unused(descriptor);
ignore_unused(output);
ignore_unused(weights);
ignore_unused(biases);
return IsSupportedForDataTypeRef(reasonIfUnsupported,
input.GetDataType(),
&TrueFunc<>,
&TrueFunc<>);
}
bool IsDepthwiseConvolutionSupportedRef(const TensorInfo& input,
const TensorInfo& output,
const DepthwiseConvolution2dDescriptor& descriptor,
const TensorInfo& weights,
const boost::optional<TensorInfo>& biases,
std::string* reasonIfUnsupported)
{
ignore_unused(output);
ignore_unused(descriptor);
ignore_unused(weights);
ignore_unused(biases);
return IsSupportedForDataTypeRef(reasonIfUnsupported,
input.GetDataType(),
&TrueFunc<>,
&TrueFunc<>);
}
bool IsDivisionSupportedRef(const TensorInfo& input0,
const TensorInfo& input1,
const TensorInfo& output,
std::string* reasonIfUnsupported)
{
ignore_unused(input1);
ignore_unused(output);
return IsSupportedForDataTypeRef(reasonIfUnsupported,
input0.GetDataType(),
&TrueFunc<>,
&TrueFunc<>);
}
bool IsSubtractionSupportedRef(const TensorInfo& input0,
const TensorInfo& input1,
const TensorInfo& output,
std::string* reasonIfUnsupported)
{
ignore_unused(input1);
ignore_unused(output);
return IsSupportedForDataTypeRef(reasonIfUnsupported,
input0.GetDataType(),
&TrueFunc<>,
&TrueFunc<>);
}
bool IsFullyConnectedSupportedRef(const TensorInfo& input,
const TensorInfo& output,
const TensorInfo& weights,
const TensorInfo& biases,
const FullyConnectedDescriptor& descriptor,
std::string* reasonIfUnsupported)
{
ignore_unused(output);
ignore_unused(descriptor);
ignore_unused(weights);
ignore_unused(biases);
return IsSupportedForDataTypeRef(reasonIfUnsupported,
input.GetDataType(),
&TrueFunc<>,
&TrueFunc<>);
}
bool IsInputSupportedRef(const TensorInfo& input,
std::string* reasonIfUnsupported)
{
return IsSupportedForDataTypeRef(reasonIfUnsupported,
input.GetDataType(),
&TrueFunc<>,
&TrueFunc<>);
}
bool IsL2NormalizationSupportedRef(const TensorInfo& input,
const TensorInfo& output,
const L2NormalizationDescriptor& descriptor,
std::string* reasonIfUnsupported)
{
ignore_unused(output);
ignore_unused(descriptor);
return IsSupportedForDataTypeRef(reasonIfUnsupported,
input.GetDataType(),
&TrueFunc<>,
&FalseFuncU8<>);
}
bool IsMergerSupportedRef(const std::vector<const TensorInfo*> inputs,
const OriginsDescriptor& descriptor,
std::string* reasonIfUnsupported)
{
ignore_unused(descriptor);
return IsSupportedForDataTypeRef(reasonIfUnsupported,
inputs[0]->GetDataType(),
&TrueFunc<>,
&TrueFunc<>);
}
bool IsMultiplicationSupportedRef(const TensorInfo& input0,
const TensorInfo& input1,
const TensorInfo& output,
std::string* reasonIfUnsupported)
{
ignore_unused(input1);
ignore_unused(output);
return IsSupportedForDataTypeRef(reasonIfUnsupported,
input0.GetDataType(),
&TrueFunc<>,
&TrueFunc<>);
}
bool IsNormalizationSupportedRef(const TensorInfo& input,
const TensorInfo& output,
const NormalizationDescriptor& descriptor,
std::string* reasonIfUnsupported)
{
ignore_unused(descriptor);
return IsSupportedForDataTypeRef(reasonIfUnsupported,
input.GetDataType(),
&TrueFunc<>,
&FalseFuncU8<>);
}
bool IsOutputSupportedRef(const TensorInfo& output,
std::string* reasonIfUnsupported)
{
return IsSupportedForDataTypeRef(reasonIfUnsupported,
output.GetDataType(),
&TrueFunc<>,
&TrueFunc<>);
}
bool IsPermuteSupportedRef(const TensorInfo& input,
const TensorInfo& output,
const PermuteDescriptor& descriptor,
std::string* reasonIfUnsupported)
{
ignore_unused(descriptor);
return IsSupportedForDataTypeRef(reasonIfUnsupported,
input.GetDataType(),
&TrueFunc<>,
&TrueFunc<>);
}
bool IsPooling2dSupportedRef(const TensorInfo& input,
const TensorInfo& output,
const Pooling2dDescriptor& descriptor,
std::string* reasonIfUnsupported)
{
ignore_unused(descriptor);
return IsSupportedForDataTypeRef(reasonIfUnsupported,
input.GetDataType(),
&TrueFunc<>,
&TrueFunc<>);
}
bool IsResizeBilinearSupportedRef(const TensorInfo& input,
std::string* reasonIfUnsupported)
{
return IsSupportedForDataTypeRef(reasonIfUnsupported,
input.GetDataType(),
&TrueFunc<>,
&TrueFunc<>);
}
bool IsSoftmaxSupportedRef(const TensorInfo& input,
const TensorInfo& output,
const SoftmaxDescriptor& descriptor,
std::string* reasonIfUnsupported)
{
ignore_unused(output);
ignore_unused(descriptor);
return IsSupportedForDataTypeRef(reasonIfUnsupported,
input.GetDataType(),
&TrueFunc<>,
&TrueFunc<>);
}
bool IsSplitterSupportedRef(const TensorInfo& input,
const ViewsDescriptor& descriptor,
std::string* reasonIfUnsupported)
{
ignore_unused(descriptor);
return IsSupportedForDataTypeRef(reasonIfUnsupported,
input.GetDataType(),
&TrueFunc<>,
&TrueFunc<>);
}
bool IsFakeQuantizationSupportedRef(const TensorInfo& input,
const FakeQuantizationDescriptor& descriptor,
std::string* reasonIfUnsupported)
{
ignore_unused(descriptor);
return IsSupportedForDataTypeRef(reasonIfUnsupported,
input.GetDataType(),
&TrueFunc<>,
&FalseFuncU8<>);
}
bool IsReshapeSupportedRef(const TensorInfo& input,
std::string* reasonIfUnsupported)
{
return IsSupportedForDataTypeRef(reasonIfUnsupported,
input.GetDataType(),
&TrueFunc<>,
&TrueFunc<>);
}
bool IsFloorSupportedRef(const TensorInfo& input,
const TensorInfo& output,
std::string* reasonIfUnsupported)
{
ignore_unused(output);
return IsSupportedForDataTypeRef(reasonIfUnsupported,
input.GetDataType(),
&TrueFunc<>,
&FalseFuncU8<>);
}
bool IsLstmSupportedRef(const TensorInfo& input, const TensorInfo& outputStateIn,
const TensorInfo& cellStateIn, const TensorInfo& scratchBuffer,
const TensorInfo& outputStateOut, const TensorInfo& cellStateOut,
const TensorInfo& output, const LstmDescriptor& descriptor,
const TensorInfo& inputToForgetWeights, const TensorInfo& inputToCellWeights,
const TensorInfo& inputToOutputWeights, const TensorInfo& recurrentToForgetWeights,
const TensorInfo& recurrentToCellWeights, const TensorInfo& recurrentToOutputWeights,
const TensorInfo& forgetGateBias, const TensorInfo& cellBias,
const TensorInfo& outputGateBias, const TensorInfo* inputToInputWeights,
const TensorInfo* recurrentToInputWeights, const TensorInfo* cellToInputWeights,
const TensorInfo* inputGateBias, const TensorInfo* projectionWeights,
const TensorInfo* projectionBias, const TensorInfo* cellToForgetWeights,
const TensorInfo* cellToOutputWeights, std::string* reasonIfUnsupported)
{
ignore_unused(input);
ignore_unused(outputStateIn);
ignore_unused(cellStateIn);
ignore_unused(scratchBuffer);
ignore_unused(outputStateOut);
ignore_unused(cellStateOut);
ignore_unused(output);
ignore_unused(descriptor);
ignore_unused(inputToForgetWeights);
ignore_unused(inputToCellWeights);
ignore_unused(inputToOutputWeights);
ignore_unused(recurrentToForgetWeights);
ignore_unused(recurrentToCellWeights);
ignore_unused(recurrentToOutputWeights);
ignore_unused(forgetGateBias);
ignore_unused(cellBias);
ignore_unused(outputGateBias);
ignore_unused(inputToInputWeights);
ignore_unused(recurrentToInputWeights);
ignore_unused(cellToInputWeights);
ignore_unused(inputGateBias);
ignore_unused(projectionWeights);
ignore_unused(projectionBias);
ignore_unused(cellToForgetWeights);
ignore_unused(cellToOutputWeights);
return false;
}
bool IsConvertFp16ToFp32SupportedRef(const TensorInfo& input,
const TensorInfo& output,
std::string* reasonIfUnsupported)
{
return (IsSupportedForDataTypeGeneric(reasonIfUnsupported,
input.GetDataType(),
&TrueFunc<>,
&FalseInputFuncF32<>,
&FalseFuncU8<>) &&
IsSupportedForDataTypeGeneric(reasonIfUnsupported,
output.GetDataType(),
&FalseOutputFuncF16<>,
&TrueFunc<>,
&FalseFuncU8<>));
}
bool IsConvertFp32ToFp16SupportedRef(const TensorInfo& input,
const TensorInfo& output,
std::string* reasonIfUnsupported)
{
return (IsSupportedForDataTypeGeneric(reasonIfUnsupported,
input.GetDataType(),
&FalseInputFuncF16<>,
&TrueFunc<>,
&FalseFuncU8<>) &&
IsSupportedForDataTypeGeneric(reasonIfUnsupported,
output.GetDataType(),
&TrueFunc<>,
&FalseOutputFuncF32<>,
&FalseFuncU8<>));
}
bool IsMeanSupportedRef(const TensorInfo& input,
const TensorInfo& output,
const MeanDescriptor& descriptor,
std::string* reasonIfUnsupported)
{
ignore_unused(output);
ignore_unused(descriptor);
return IsSupportedForDataTypeRef(reasonIfUnsupported,
input.GetDataType(),
&TrueFunc<>,
&TrueFunc<>);
}
bool IsPadSupportedRef(const TensorInfo& input,
const TensorInfo& output,
const PadDescriptor& descriptor,
std::string* reasonIfUnsupported)
{
ignore_unused(output);
ignore_unused(descriptor);
return false;
}
}