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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include <armnn/ILayerSupport.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());
}
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