| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "LayerSupportBase.hpp" |
| |
| #include <armnn/Exceptions.hpp> |
| |
| namespace |
| { |
| |
| bool DefaultLayerSupport(const char* func, |
| const char* file, |
| unsigned int line, |
| armnn::Optional<std::string&> reasonIfUnsupported) |
| { |
| // NOTE: We only need to return the reason if the optional parameter is not empty |
| if (reasonIfUnsupported) |
| { |
| std::stringstream message; |
| message << func << " is not implemented [" << file << ":" << line << "]"; |
| |
| reasonIfUnsupported.value() = message.str(); |
| } |
| |
| return false; |
| } |
| |
| } // anonymous namespace |
| |
| namespace armnn |
| { |
| |
| bool LayerSupportBase::IsActivationSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const ActivationDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsAdditionSupported(const TensorInfo& input0, |
| const TensorInfo& input1, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::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 DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsBatchToSpaceNdSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const BatchToSpaceNdDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsConstantSupported(const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsConvertFp16ToFp32Supported(const TensorInfo& input, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsConvertFp32ToFp16Supported(const TensorInfo& input, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsConvolution2dSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const Convolution2dDescriptor& descriptor, |
| const TensorInfo& weights, |
| const Optional<TensorInfo>& biases, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsDebugSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const DebugDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsDepthwiseConvolutionSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const DepthwiseConvolution2dDescriptor& descriptor, |
| const TensorInfo& weights, |
| const Optional<TensorInfo>& biases, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsDivisionSupported(const TensorInfo& input0, |
| const TensorInfo& input1, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsEqualSupported(const armnn::TensorInfo& input0, |
| const armnn::TensorInfo& input1, |
| const armnn::TensorInfo& output, |
| armnn::Optional<std::string &> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsFakeQuantizationSupported(const TensorInfo& input, |
| const FakeQuantizationDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsFloorSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsFullyConnectedSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const TensorInfo& weights, |
| const TensorInfo& biases, |
| const FullyConnectedDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsInputSupported(const TensorInfo& input, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsL2NormalizationSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const L2NormalizationDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::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 DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsMaximumSupported(const TensorInfo& input0, |
| const TensorInfo& input1, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsMeanSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const MeanDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsMemCopySupported(const armnn::TensorInfo& input, |
| const armnn::TensorInfo& output, |
| armnn::Optional<std::string &> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsMergerSupported(const std::vector<const TensorInfo*> inputs, |
| const TensorInfo& output, |
| const OriginsDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsMinimumSupported(const TensorInfo& input0, |
| const TensorInfo& input1, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsMultiplicationSupported(const TensorInfo& input0, |
| const TensorInfo& input1, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsNormalizationSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const NormalizationDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsOutputSupported(const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsPadSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const PadDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsPermuteSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const PermuteDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsPooling2dSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const Pooling2dDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsPreCompiledSupported(const TensorInfo& input, |
| const PreCompiledDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsReshapeSupported(const TensorInfo& input, |
| const ReshapeDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsResizeBilinearSupported(const TensorInfo& input, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsSoftmaxSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const SoftmaxDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsSpaceToBatchNdSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const SpaceToBatchNdDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsSplitterSupported(const TensorInfo& input, |
| const ViewsDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsStridedSliceSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const StridedSliceDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsSubtractionSupported(const TensorInfo& input0, |
| const TensorInfo& input1, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsGreaterSupported(const TensorInfo& input0, |
| const TensorInfo& input1, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsRsqrtSupported(const TensorInfo &input, |
| const TensorInfo &output, |
| Optional<std::string &> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| } // namespace armnn |
