diff options
Diffstat (limited to 'src/backends/reference/RefLayerSupport.cpp')
| -rw-r--r-- | src/backends/reference/RefLayerSupport.cpp | 313 |
1 files changed, 312 insertions, 1 deletions
diff --git a/src/backends/reference/RefLayerSupport.cpp b/src/backends/reference/RefLayerSupport.cpp index a42efb748f..e6b1442e4d 100644 --- a/src/backends/reference/RefLayerSupport.cpp +++ b/src/backends/reference/RefLayerSupport.cpp @@ -17,6 +17,317 @@ using namespace boost; namespace armnn { +namespace +{ + +std::string* GetReasonIfUnsupportedPtr(const Optional<std::string&>& reasonIfUnsupported) +{ + return reasonIfUnsupported ? &reasonIfUnsupported.value() : nullptr; +} + +} // anonymous namespace + +bool RefLayerSupport::IsActivationSupported(const TensorInfo& input, + const TensorInfo& output, + const ActivationDescriptor& descriptor, + Optional<std::string&> reasonIfUnsupported) const +{ + return armnn::IsActivationSupportedRef(input, output, descriptor, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); +} + +bool RefLayerSupport::IsAdditionSupported(const TensorInfo& input0, + const TensorInfo& input1, + const TensorInfo& output, + Optional<std::string&> reasonIfUnsupported) const +{ + return armnn::IsAdditionSupportedRef(input0, + input1, + output, + GetReasonIfUnsupportedPtr(reasonIfUnsupported)); +} + +bool RefLayerSupport::IsBatchNormalizationSupported(const TensorInfo& input, + const TensorInfo& output, + const TensorInfo& mean, + const TensorInfo& var, + const TensorInfo& beta, + const TensorInfo& gamma, + const BatchNormalizationDescriptor& descriptor, + Optional<std::string&> reasonIfUnsupported) const +{ + return armnn::IsBatchNormalizationSupportedRef(input, + output, + mean, + var, + beta, + gamma, + descriptor, + GetReasonIfUnsupportedPtr(reasonIfUnsupported)); +} + +bool RefLayerSupport::IsConstantSupported(const TensorInfo& output, + Optional<std::string&> reasonIfUnsupported) const +{ + return armnn::IsConstantSupportedRef(output, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); +} + +bool RefLayerSupport::IsConvertFp16ToFp32Supported(const TensorInfo& input, + const TensorInfo& output, + Optional<std::string&> reasonIfUnsupported) const +{ + return armnn::IsConvertFp16ToFp32SupportedRef(input, output, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); +} + +bool RefLayerSupport::IsConvertFp32ToFp16Supported(const TensorInfo& input, + const TensorInfo& output, + Optional<std::string&> reasonIfUnsupported) const +{ + return armnn::IsConvertFp32ToFp16SupportedRef(input, output, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); +} + +bool RefLayerSupport::IsConvolution2dSupported(const TensorInfo& input, + const TensorInfo& output, + const Convolution2dDescriptor& descriptor, + const TensorInfo& weights, + const Optional<TensorInfo>& biases, + Optional<std::string&> reasonIfUnsupported) const +{ + return armnn::IsConvolution2dSupportedRef(input, + output, + descriptor, + weights, + biases, + GetReasonIfUnsupportedPtr(reasonIfUnsupported)); +} + +bool RefLayerSupport::IsDepthwiseConvolutionSupported(const TensorInfo& input, + const TensorInfo& output, + const DepthwiseConvolution2dDescriptor& descriptor, + const TensorInfo& weights, + const Optional<TensorInfo>& biases, + Optional<std::string&> reasonIfUnsupported) const +{ + return armnn::IsDepthwiseConvolutionSupportedRef(input, + output, + descriptor, + weights, + biases, + GetReasonIfUnsupportedPtr(reasonIfUnsupported)); +} + +bool RefLayerSupport::IsDivisionSupported(const TensorInfo& input0, + const TensorInfo& input1, + const TensorInfo& output, + Optional<std::string&> reasonIfUnsupported) const +{ + return armnn::IsDivisionSupportedRef(input0, input1, output, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); +} + +bool RefLayerSupport::IsFakeQuantizationSupported(const TensorInfo& input, + const FakeQuantizationDescriptor& descriptor, + Optional<std::string&> reasonIfUnsupported) const +{ + return armnn::IsFakeQuantizationSupportedRef(input, descriptor, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); +} + +bool RefLayerSupport::IsFloorSupported(const TensorInfo& input, + const TensorInfo& output, + Optional<std::string&> reasonIfUnsupported) const +{ + return armnn::IsFloorSupportedRef(input, output, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); +} + +bool RefLayerSupport::IsFullyConnectedSupported(const TensorInfo& input, + const TensorInfo& output, + const TensorInfo& weights, + const TensorInfo& biases, + const FullyConnectedDescriptor& descriptor, + Optional<std::string&> reasonIfUnsupported) const +{ + return armnn::IsFullyConnectedSupportedRef(input, + output, + weights, + biases, + descriptor, + GetReasonIfUnsupportedPtr(reasonIfUnsupported)); +} + +bool RefLayerSupport::IsInputSupported(const TensorInfo& input, + Optional<std::string&> reasonIfUnsupported) const +{ + return armnn::IsInputSupportedRef(input, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); +} + +bool RefLayerSupport::IsL2NormalizationSupported(const TensorInfo& input, + const TensorInfo& output, + const L2NormalizationDescriptor& descriptor, + Optional<std::string&> reasonIfUnsupported) const +{ + return armnn::IsL2NormalizationSupportedRef(input, + output, + descriptor, + GetReasonIfUnsupportedPtr(reasonIfUnsupported)); +} + +bool RefLayerSupport::IsLstmSupported(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, + Optional<std::string&> reasonIfUnsupported) const +{ + return armnn::IsLstmSupportedRef(input, + outputStateIn, + cellStateIn, + scratchBuffer, + outputStateOut, + cellStateOut, + output, + descriptor, + inputToForgetWeights, + inputToCellWeights, + inputToOutputWeights, + recurrentToForgetWeights, + recurrentToCellWeights, + recurrentToOutputWeights, + forgetGateBias, + cellBias, + outputGateBias, + inputToInputWeights, + recurrentToInputWeights, + cellToInputWeights, + inputGateBias, + projectionWeights, + projectionBias, + cellToForgetWeights, + cellToOutputWeights, + GetReasonIfUnsupportedPtr(reasonIfUnsupported)); +} + +bool RefLayerSupport::IsMeanSupported(const TensorInfo& input, + const TensorInfo& output, + const MeanDescriptor& descriptor, + Optional<std::string&> reasonIfUnsupported) const +{ + return armnn::IsMeanSupportedRef(input, output, descriptor, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); +} + +bool RefLayerSupport::IsMergerSupported(const std::vector<const TensorInfo*> inputs, + const OriginsDescriptor& descriptor, + Optional<std::string&> reasonIfUnsupported) const +{ + return armnn::IsMergerSupportedRef(inputs, descriptor, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); +} + +bool RefLayerSupport::IsMultiplicationSupported(const TensorInfo& input0, + const TensorInfo& input1, + const TensorInfo& output, + Optional<std::string&> reasonIfUnsupported) const +{ + return armnn::IsMultiplicationSupportedRef(input0, input1, output, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); +} + +bool RefLayerSupport::IsNormalizationSupported(const TensorInfo& input, + const TensorInfo& output, + const NormalizationDescriptor& descriptor, + Optional<std::string&> reasonIfUnsupported) const +{ + return armnn::IsNormalizationSupportedRef(input, + output, + descriptor, + GetReasonIfUnsupportedPtr(reasonIfUnsupported)); +} + +bool RefLayerSupport::IsOutputSupported(const TensorInfo& output, + Optional<std::string&> reasonIfUnsupported) const +{ + return armnn::IsOutputSupportedRef(output, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); +} + +bool RefLayerSupport::IsPadSupported(const TensorInfo& input, + const TensorInfo& output, + const PadDescriptor& descriptor, + Optional<std::string&> reasonIfUnsupported) const +{ + return armnn::IsPadSupportedRef(input, output, descriptor, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); +} + +bool RefLayerSupport::IsPermuteSupported(const TensorInfo& input, + const TensorInfo& output, + const PermuteDescriptor& descriptor, + Optional<std::string&> reasonIfUnsupported) const +{ + return armnn::IsPermuteSupportedRef(input, output, descriptor, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); +} + +bool RefLayerSupport::IsPooling2dSupported(const TensorInfo& input, + const TensorInfo& output, + const Pooling2dDescriptor& descriptor, + Optional<std::string&> reasonIfUnsupported) const +{ + return armnn::IsPooling2dSupportedRef(input, output, descriptor, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); +} + +bool RefLayerSupport::IsReshapeSupported(const TensorInfo& input, + Optional<std::string&> reasonIfUnsupported) const +{ + return armnn::IsReshapeSupportedRef(input, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); +} + +bool RefLayerSupport::IsResizeBilinearSupported(const TensorInfo& input, + Optional<std::string&> reasonIfUnsupported) const +{ + return armnn::IsResizeBilinearSupportedRef(input, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); +} + +bool RefLayerSupport::IsSoftmaxSupported(const TensorInfo& input, + const TensorInfo& output, + const SoftmaxDescriptor& descriptor, + Optional<std::string&> reasonIfUnsupported) const +{ + return armnn::IsSoftmaxSupportedRef(input, output, descriptor, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); +} + +bool RefLayerSupport::IsSplitterSupported(const TensorInfo& input, + const ViewsDescriptor& descriptor, + Optional<std::string&> reasonIfUnsupported) const +{ + return armnn::IsSplitterSupportedRef(input, descriptor, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); +} + +bool RefLayerSupport::IsSubtractionSupported(const TensorInfo& input0, + const TensorInfo& input1, + const TensorInfo& output, + Optional<std::string&> reasonIfUnsupported) const +{ + return armnn::IsSubtractionSupportedRef(input0, input1, output, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); +} + +// +// Implementation functions +// +// TODO: Functions kept for backward compatibility. Remove once transition to plugable backends is complete! + template<typename Float32Func, typename Uint8Func, typename ... Params> bool IsSupportedForDataTypeRef(std::string* reasonIfUnsupported, DataType dataType, @@ -412,4 +723,4 @@ bool IsPadSupportedRef(const TensorInfo& input, return false; } -} +} // namespace armnn |