| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| #pragma once |
| |
| #include <armnn/ArmNN.hpp> |
| |
| namespace armnn |
| { |
| |
| class ClLayerSupport : public ILayerSupport |
| { |
| public: |
| bool IsActivationSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const ActivationDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override; |
| |
| bool IsAdditionSupported(const TensorInfo& input0, |
| const TensorInfo& input1, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override; |
| |
| bool 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 = EmptyOptional()) const override; |
| |
| bool IsConstantSupported(const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override; |
| |
| bool IsConvertFp16ToFp32Supported(const TensorInfo& input, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override; |
| |
| bool IsConvertFp32ToFp16Supported(const TensorInfo& input, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override; |
| |
| bool IsConvolution2dSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const Convolution2dDescriptor& descriptor, |
| const TensorInfo& weights, |
| const Optional<TensorInfo>& biases, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override; |
| |
| bool IsDepthwiseConvolutionSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const DepthwiseConvolution2dDescriptor& descriptor, |
| const TensorInfo& weights, |
| const Optional<TensorInfo>& biases, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override; |
| |
| bool IsDivisionSupported(const TensorInfo& input0, |
| const TensorInfo& input1, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override; |
| |
| bool IsFakeQuantizationSupported(const TensorInfo& input, |
| const FakeQuantizationDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override; |
| |
| bool IsFloorSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override; |
| |
| bool IsFullyConnectedSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const TensorInfo& weights, |
| const TensorInfo& biases, |
| const FullyConnectedDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override; |
| |
| bool IsInputSupported(const TensorInfo& input, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override; |
| |
| bool IsL2NormalizationSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const L2NormalizationDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override; |
| |
| bool 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 = EmptyOptional()) const override; |
| |
| bool IsMeanSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const MeanDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override; |
| |
| bool IsMergerSupported(const std::vector<const TensorInfo*> inputs, |
| const OriginsDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override; |
| |
| bool IsMultiplicationSupported(const TensorInfo& input0, |
| const TensorInfo& input1, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override; |
| |
| bool IsNormalizationSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const NormalizationDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override; |
| |
| bool IsOutputSupported(const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override; |
| |
| bool IsPadSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const PadDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override; |
| |
| bool IsPermuteSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const PermuteDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override; |
| |
| bool IsPooling2dSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const Pooling2dDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override; |
| |
| bool IsReshapeSupported(const TensorInfo& input, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override; |
| |
| bool IsResizeBilinearSupported(const TensorInfo& input, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override; |
| |
| bool IsSoftmaxSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const SoftmaxDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override; |
| |
| bool IsSplitterSupported(const TensorInfo& input, |
| const ViewsDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override; |
| |
| bool IsSubtractionSupported(const TensorInfo& input0, |
| const TensorInfo& input1, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override; |
| }; |
| |
| bool IsClDirectConvolution2dSupported(const TensorInfo& weightInfo, const Convolution2dDescriptor& desc); |
| bool IsClDepthwiseConvolution2dDescParamsSupported(Optional<std::string&> reasonIfUnsupported, |
| const DepthwiseConvolution2dDescriptor& parameters, |
| const TensorInfo& weights); |
| |
| bool IsActivationSupportedCl(const TensorInfo& input, |
| const TensorInfo& output, |
| const ActivationDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()); |
| |
| bool IsAdditionSupportedCl(const TensorInfo& input0, |
| const TensorInfo& input1, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()); |
| |
| bool IsBatchNormalizationSupportedCl(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 = EmptyOptional()); |
| |
| bool IsConstantSupportedCl(const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()); |
| |
| bool IsConvolution2dSupportedCl(const TensorInfo& input, |
| const TensorInfo& output, |
| const Convolution2dDescriptor& descriptor, |
| const TensorInfo& weights, |
| const Optional<TensorInfo>& biases, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()); |
| |
| bool IsDepthwiseConvolutionSupportedCl(const TensorInfo& input, |
| const TensorInfo& output, |
| const DepthwiseConvolution2dDescriptor& descriptor, |
| const TensorInfo& weights, |
| const Optional<TensorInfo>& biases, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()); |
| |
| bool IsDivisionSupportedCl(const TensorInfo& input0, |
| const TensorInfo& input1, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()); |
| |
| bool IsSubtractionSupportedCl(const TensorInfo& input0, |
| const TensorInfo& input1, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()); |
| |
| bool IsFullyConnectedSupportedCl(const TensorInfo& input, |
| const TensorInfo& output, |
| const TensorInfo& weights, |
| const TensorInfo& biases, |
| const FullyConnectedDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()); |
| |
| bool IsInputSupportedCl(const TensorInfo& input, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()); |
| |
| bool IsL2NormalizationSupportedCl(const TensorInfo& input, |
| const TensorInfo& output, |
| const L2NormalizationDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()); |
| |
| bool IsLstmSupportedCl(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 = EmptyOptional()); |
| |
| bool IsMergerSupportedCl(const std::vector<const TensorInfo*> inputs, |
| const OriginsDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()); |
| |
| bool IsMultiplicationSupportedCl(const TensorInfo& input0, |
| const TensorInfo& input1, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()); |
| |
| bool IsNormalizationSupportedCl(const TensorInfo& input, |
| const TensorInfo& output, |
| const NormalizationDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()); |
| |
| bool IsOutputSupportedCl(const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()); |
| |
| bool IsPermuteSupportedCl(const TensorInfo& input, |
| const TensorInfo& output, |
| const PermuteDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()); |
| |
| bool IsPooling2dSupportedCl(const TensorInfo& input, |
| const TensorInfo& output, |
| const Pooling2dDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()); |
| |
| bool IsResizeBilinearSupportedCl(const TensorInfo& input, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()); |
| |
| bool IsSoftmaxSupportedCl(const TensorInfo& input, |
| const TensorInfo& output, |
| const SoftmaxDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()); |
| |
| bool IsSplitterSupportedCl(const TensorInfo& input, |
| const ViewsDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()); |
| |
| bool IsFakeQuantizationSupportedCl(const TensorInfo& input, |
| const FakeQuantizationDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()); |
| |
| bool IsReshapeSupportedCl(const TensorInfo& input, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()); |
| |
| bool IsFloorSupportedCl(const TensorInfo& input, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()); |
| |
| bool IsConvertFp16ToFp32SupportedCl(const TensorInfo& input, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()); |
| |
| bool IsConvertFp32ToFp16SupportedCl(const TensorInfo& input, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()); |
| |
| bool IsMeanSupportedCl(const TensorInfo& input, |
| const TensorInfo& output, |
| const MeanDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()); |
| |
| bool IsPadSupportedCl(const TensorInfo& input, |
| const TensorInfo& output, |
| const PadDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported = EmptyOptional()); |
| |
| } |