diff options
Diffstat (limited to 'include/armnn')
-rw-r--r-- | include/armnn/ILayerSupport.hpp | 210 | ||||
-rw-r--r-- | include/armnn/Types.hpp | 2 |
2 files changed, 212 insertions, 0 deletions
diff --git a/include/armnn/ILayerSupport.hpp b/include/armnn/ILayerSupport.hpp new file mode 100644 index 0000000000..7962393f34 --- /dev/null +++ b/include/armnn/ILayerSupport.hpp @@ -0,0 +1,210 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// +#pragma once + +#include <armnn/DescriptorsFwd.hpp> + +#include <boost/optional.hpp> +#include <vector> + +namespace armnn +{ + +class TensorInfo; + +class ILayerSupport +{ +protected: + ILayerSupport() {} + virtual ~ILayerSupport() {} + +public: + virtual bool IsActivationSupported(const TensorInfo& input, + const TensorInfo& output, + const ActivationDescriptor& descriptor, + char* reasonIfUnsupported = nullptr, + size_t reasonIfUnsupportedMaxLength = 1024) const; + + virtual bool IsAdditionSupported(const TensorInfo& input0, + const TensorInfo& input1, + const TensorInfo& output, + char* reasonIfUnsupported = nullptr, + size_t reasonIfUnsupportedMaxLength = 1024) const; + + virtual bool IsBatchNormalizationSupported(const TensorInfo& input, + const TensorInfo& output, + const TensorInfo& mean, + const TensorInfo& var, + const TensorInfo& beta, + const TensorInfo& gamma, + const BatchNormalizationDescriptor& descriptor, + char* reasonIfUnsupported = nullptr, + size_t reasonIfUnsupportedMaxLength = 1024) const; + + virtual bool IsConstantSupported(const TensorInfo& output, + char* reasonIfUnsupported = nullptr, + size_t reasonIfUnsupportedMaxLength = 1024) const; + + virtual bool IsConvertFp16ToFp32Supported(const TensorInfo& input, + const TensorInfo& output, + char* reasonIfUnsupported = nullptr, + size_t reasonIfUnsupportedMaxLength = 1024) const; + + virtual bool IsConvertFp32ToFp16Supported(const TensorInfo& input, + const TensorInfo& output, + char* reasonIfUnsupported = nullptr, + size_t reasonIfUnsupportedMaxLength = 1024) const; + + virtual bool IsConvolution2dSupported(const TensorInfo& input, + const TensorInfo& output, + const Convolution2dDescriptor& descriptor, + const TensorInfo& weights, + const boost::optional<TensorInfo>& biases, + char* reasonIfUnsupported = nullptr, + size_t reasonIfUnsupportedMaxLength = 1024) const; + + virtual bool IsDepthwiseConvolutionSupported(const TensorInfo& input, + const TensorInfo& output, + const DepthwiseConvolution2dDescriptor& descriptor, + const TensorInfo& weights, + const boost::optional<TensorInfo>& biases, + char* reasonIfUnsupported = nullptr, + size_t reasonIfUnsupportedMaxLength = 1024) const; + + virtual bool IsDivisionSupported(const TensorInfo& input0, + const TensorInfo& input1, + const TensorInfo& output, + char* reasonIfUnsupported = nullptr, + size_t reasonIfUnsupportedMaxLength = 1024) const; + + virtual bool IsSubtractionSupported(const TensorInfo& input0, + const TensorInfo& input1, + const TensorInfo& output, + char* reasonIfUnsupported = nullptr, + size_t reasonIfUnsupportedMaxLength = 1024) const; + + virtual bool IsInputSupported(const TensorInfo& input, + char* reasonIfUnsupported = nullptr, + size_t reasonIfUnsupportedMaxLength = 1024) const; + + virtual bool IsFullyConnectedSupported(const TensorInfo& input, + const TensorInfo& output, + const TensorInfo& weights, + const TensorInfo& biases, + const FullyConnectedDescriptor& descriptor, + char* reasonIfUnsupported = nullptr, + size_t reasonIfUnsupportedMaxLength = 1024) const; + + virtual bool IsL2NormalizationSupported(const TensorInfo& input, + const TensorInfo& output, + const L2NormalizationDescriptor& descriptor, + char* reasonIfUnsupported = nullptr, + size_t reasonIfUnsupportedMaxLength = 1024) const; + + virtual 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, + char* reasonIfUnsupported = nullptr, + size_t reasonIfUnsupportedMaxLength = 1024) const; + + virtual bool IsMergerSupported(const std::vector<const TensorInfo*> inputs, + const OriginsDescriptor& descriptor, + char* reasonIfUnsupported = nullptr, + size_t reasonIfUnsupportedMaxLength = 1024) const; + + virtual bool IsMultiplicationSupported(const TensorInfo& input0, + const TensorInfo& input1, + const TensorInfo& output, + char* reasonIfUnsupported = nullptr, + size_t reasonIfUnsupportedMaxLength = 1024) const; + + virtual bool IsNormalizationSupported(const TensorInfo& input, + const TensorInfo& output, + const NormalizationDescriptor& descriptor, + char* reasonIfUnsupported = nullptr, + size_t reasonIfUnsupportedMaxLength = 1024) const; + + virtual bool IsOutputSupported(const TensorInfo& output, + char* reasonIfUnsupported = nullptr, + size_t reasonIfUnsupportedMaxLength = 1024) const; + + virtual bool IsPermuteSupported(const TensorInfo& input, + const TensorInfo& output, + const PermuteDescriptor& descriptor, + char* reasonIfUnsupported = nullptr, + size_t reasonIfUnsupportedMaxLength = 1024) const; + + virtual bool IsPooling2dSupported(const TensorInfo& input, + const TensorInfo& output, + const Pooling2dDescriptor& descriptor, + char* reasonIfUnsupported = nullptr, + size_t reasonIfUnsupportedMaxLength = 1024) const; + + virtual bool IsResizeBilinearSupported(const TensorInfo& input, + char* reasonIfUnsupported = nullptr, + size_t reasonIfUnsupportedMaxLength = 1024) const; + + virtual bool IsSoftmaxSupported(const TensorInfo& input, + const TensorInfo& output, + const SoftmaxDescriptor& descriptor, + char* reasonIfUnsupported = nullptr, + size_t reasonIfUnsupportedMaxLength = 1024) const; + + virtual bool IsSplitterSupported(const TensorInfo& input, + const ViewsDescriptor& descriptor, + char* reasonIfUnsupported = nullptr, + size_t reasonIfUnsupportedMaxLength = 1024) const; + + virtual bool IsFakeQuantizationSupported(const TensorInfo& input, + const FakeQuantizationDescriptor& descriptor, + char* reasonIfUnsupported = nullptr, + size_t reasonIfUnsupportedMaxLength = 1024) const; + + virtual bool IsReshapeSupported(const TensorInfo& input, + char* reasonIfUnsupported = nullptr, + size_t reasonIfUnsupportedMaxLength = 1024) const; + + virtual bool IsFloorSupported(const TensorInfo& input, + const TensorInfo& output, + char* reasonIfUnsupported = nullptr, + size_t reasonIfUnsupportedMaxLength = 1024) const; + + virtual bool IsMeanSupported(const TensorInfo& input, + const TensorInfo& output, + const MeanDescriptor& descriptor, + char* reasonIfUnsupported = nullptr, + size_t reasonIfUnsupportedMaxLength = 1024) const; + + virtual bool IsPadSupported(const TensorInfo& input, + const TensorInfo& output, + const PadDescriptor& descriptor, + char* reasonIfUnsupported = nullptr, + size_t reasonIfUnsupportedMaxLength = 1024) const; + +}; // class ILayerSupport + +} // namespace armnn diff --git a/include/armnn/Types.hpp b/include/armnn/Types.hpp index d0a0174ecd..12ecda0c39 100644 --- a/include/armnn/Types.hpp +++ b/include/armnn/Types.hpp @@ -6,6 +6,7 @@ #include <array> #include <memory> +#include "ILayerSupport.hpp" namespace armnn { @@ -113,6 +114,7 @@ protected: public: virtual const std::string& GetId() const = 0; + virtual const ILayerSupport& GetLayerSupport() const = 0; }; using IBackendPtr = std::shared_ptr<IBackend>; |