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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include <armnn/BackendId.hpp>
#include <armnn/BackendOptions.hpp>
#include <armnn/backends/ILayerSupport.hpp>
#include <armnn/Types.hpp>
namespace armnn
{
// This handle calls its own IsXXXLayerSupported() functions which then call the polymorphic
// ILayerSupport::IsXXXLayerSupported() at the framework level so there is no risk of VTable misalignment.
// This is to make ILayerSupport in its abstract form a solely Backend interface alongside a
// separate ABI stable frontend class free of virtual functions via an added layer of indirection.
class LayerSupportHandle
{
public:
explicit LayerSupportHandle(std::shared_ptr<ILayerSupport> layerSupport)
: m_LayerSupport(std::move(layerSupport)), m_BackendId(Compute::Undefined) {};
explicit LayerSupportHandle(std::shared_ptr<ILayerSupport> layerSupport, const BackendId& backendId)
: m_LayerSupport(std::move(layerSupport)), m_BackendId(backendId) {};
bool IsBackendRegistered() const;
bool IsActivationSupported(const TensorInfo& input,
const TensorInfo& output,
const ActivationDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsAdditionSupported(const TensorInfo& input0,
const TensorInfo& input1,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsArgMinMaxSupported(const TensorInfo& input,
const TensorInfo& output,
const ArgMinMaxDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
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());
bool IsBatchToSpaceNdSupported(const TensorInfo& input,
const TensorInfo& output,
const BatchToSpaceNdDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsCastSupported(const TensorInfo& input,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsChannelShuffleSupported(const TensorInfo& input,
const TensorInfo& output,
const ChannelShuffleDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsComparisonSupported(const TensorInfo& input0,
const TensorInfo& input1,
const TensorInfo& output,
const ComparisonDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsConcatSupported(const std::vector<const TensorInfo*> inputs,
const TensorInfo& output,
const OriginsDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsConstantSupported(const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsConvertBf16ToFp32Supported(const TensorInfo& input,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsConvertFp32ToBf16Supported(const TensorInfo& input,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsConvertFp16ToFp32Supported(const TensorInfo& input,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsConvertFp32ToFp16Supported(const TensorInfo& input,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsConvolution2dSupported(const TensorInfo& input,
const TensorInfo& output,
const Convolution2dDescriptor& descriptor,
const TensorInfo& weights,
const Optional<TensorInfo>& biases,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsConvolution3dSupported(const TensorInfo& input,
const TensorInfo& output,
const Convolution3dDescriptor& descriptor,
const TensorInfo& weights,
const Optional<TensorInfo>& biases,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsDebugSupported(const TensorInfo& input,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsDepthToSpaceSupported(const TensorInfo& input,
const TensorInfo& output,
const DepthToSpaceDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsDepthwiseConvolutionSupported(
const TensorInfo& input,
const TensorInfo& output,
const DepthwiseConvolution2dDescriptor& descriptor,
const TensorInfo& weights,
const Optional<TensorInfo>& biases,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsDequantizeSupported(const TensorInfo& input,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsDetectionPostProcessSupported(const TensorInfo& boxEncodings,
const TensorInfo& scores,
const TensorInfo& anchors,
const TensorInfo& detectionBoxes,
const TensorInfo& detectionClasses,
const TensorInfo& detectionScores,
const TensorInfo& numDetections,
const DetectionPostProcessDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsDilatedDepthwiseConvolutionSupported(
const TensorInfo& input,
const TensorInfo& output,
const DepthwiseConvolution2dDescriptor& descriptor,
const TensorInfo& weights,
const Optional<TensorInfo>& biases,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsDivisionSupported(const TensorInfo& input0,
const TensorInfo& input1,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsElementwiseUnarySupported(const TensorInfo& input,
const TensorInfo& output,
const ElementwiseUnaryDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsFakeQuantizationSupported(const TensorInfo& input,
const FakeQuantizationDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsFillSupported(const TensorInfo& input,
const TensorInfo& output,
const FillDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsFloorSupported(const TensorInfo& input,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsFullyConnectedSupported(const TensorInfo& input,
const TensorInfo& output,
const TensorInfo& weights,
const TensorInfo& biases,
const FullyConnectedDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsGatherSupported(const TensorInfo& input0,
const TensorInfo& input1,
const TensorInfo& output,
const GatherDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsGatherNdSupported(const TensorInfo& input0,
const TensorInfo& input1,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsInputSupported(const TensorInfo& input,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsInstanceNormalizationSupported(
const TensorInfo& input,
const TensorInfo& output,
const InstanceNormalizationDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsL2NormalizationSupported(const TensorInfo& input,
const TensorInfo& output,
const L2NormalizationDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsLogicalBinarySupported(const TensorInfo& input0,
const TensorInfo& input1,
const TensorInfo& output,
const LogicalBinaryDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsLogicalUnarySupported(const TensorInfo& input,
const TensorInfo& output,
const ElementwiseUnaryDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsLogSoftmaxSupported(const TensorInfo& input,
const TensorInfo& output,
const LogSoftmaxDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
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 LstmInputParamsInfo& paramsInfo,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsMaximumSupported(const TensorInfo& input0,
const TensorInfo& input1,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsMeanSupported(const TensorInfo& input,
const TensorInfo& output,
const MeanDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsMemCopySupported(const TensorInfo& input,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsMemImportSupported(const TensorInfo& input,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsMergeSupported(const TensorInfo& input0,
const TensorInfo& input1,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsMinimumSupported(const TensorInfo& input0,
const TensorInfo& input1,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsMultiplicationSupported(const TensorInfo& input0,
const TensorInfo& input1,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsNormalizationSupported(const TensorInfo& input,
const TensorInfo& output,
const NormalizationDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsOutputSupported(const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsPadSupported(const TensorInfo& input,
const TensorInfo& output,
const PadDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsPermuteSupported(const TensorInfo& input,
const TensorInfo& output,
const PermuteDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsPooling2dSupported(const TensorInfo& input,
const TensorInfo& output,
const Pooling2dDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsPooling3dSupported(const TensorInfo& input,
const TensorInfo& output,
const Pooling3dDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsPreCompiledSupported(const TensorInfo& input,
const PreCompiledDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsPreluSupported(const TensorInfo& input,
const TensorInfo& alpha,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsQuantizeSupported(const TensorInfo& input,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsQLstmSupported(const TensorInfo& input,
const TensorInfo& previousOutputIn,
const TensorInfo& previousCellStateIn,
const TensorInfo& outputStateOut,
const TensorInfo& cellStateOut,
const TensorInfo& output,
const QLstmDescriptor& descriptor,
const LstmInputParamsInfo& paramsInfo,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsQuantizedLstmSupported(const TensorInfo& input,
const TensorInfo& previousCellStateIn,
const TensorInfo& previousOutputIn,
const TensorInfo& cellStateOut,
const TensorInfo& output,
const QuantizedLstmInputParamsInfo& paramsInfo,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsRankSupported(const TensorInfo& input,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsReduceSupported(const TensorInfo& input,
const TensorInfo& output,
const ReduceDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsReshapeSupported(const TensorInfo& input,
const TensorInfo& output,
const ReshapeDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsResizeSupported(const TensorInfo& input,
const TensorInfo& output,
const ResizeDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsShapeSupported(const TensorInfo& input,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsSliceSupported(const TensorInfo& input,
const TensorInfo& output,
const SliceDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsSoftmaxSupported(const TensorInfo& input,
const TensorInfo& output,
const SoftmaxDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsSpaceToBatchNdSupported(const TensorInfo& input,
const TensorInfo& output,
const SpaceToBatchNdDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsSpaceToDepthSupported(const TensorInfo& input,
const TensorInfo& output,
const SpaceToDepthDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsSplitterSupported(const TensorInfo& input,
const std::vector<std::reference_wrapper<TensorInfo>>& outputs,
const ViewsDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsStackSupported(const std::vector<const TensorInfo*>& inputs,
const TensorInfo& output,
const StackDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsStandInSupported(const std::vector<const TensorInfo*>& inputs,
const std::vector<const TensorInfo*>& outputs,
const StandInDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsStridedSliceSupported(const TensorInfo& input,
const TensorInfo& output,
const StridedSliceDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsSubtractionSupported(const TensorInfo& input0,
const TensorInfo& input1,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsSwitchSupported(const TensorInfo& input0,
const TensorInfo& input1,
const TensorInfo& output0,
const TensorInfo& output1,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsTransposeConvolution2dSupported(
const TensorInfo& input,
const TensorInfo& output,
const TransposeConvolution2dDescriptor& descriptor,
const TensorInfo& weights,
const Optional<TensorInfo>& biases,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsTransposeSupported(const TensorInfo& input,
const TensorInfo& output,
const TransposeDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
ARMNN_DEPRECATED_MSG_REMOVAL_DATE("This function has been deprecated, please use function without "
"Optional TensorInfos", "23.02")
bool IsUnidirectionalSequenceLstmSupported(
const TensorInfo& input,
const TensorInfo& outputStateIn,
const TensorInfo& cellStateIn,
const TensorInfo& output,
const Optional<TensorInfo>& hiddenStateOutput,
const Optional<TensorInfo>& cellStateOutput,
const LstmDescriptor& descriptor,
const LstmInputParamsInfo& paramsInfo,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
bool IsUnidirectionalSequenceLstmSupported(
const TensorInfo& input,
const TensorInfo& outputStateIn,
const TensorInfo& cellStateIn,
const TensorInfo& outputStateOut,
const TensorInfo& cellStateOut,
const TensorInfo& output,
const LstmDescriptor& descriptor,
const LstmInputParamsInfo& paramsInfo,
Optional<std::string&> reasonIfUnsupported = EmptyOptional());
private:
std::shared_ptr<ILayerSupport> m_LayerSupport;
const BackendId m_BackendId;
};
/// Convenience function to retrieve the ILayerSupportHandle for a backend
LayerSupportHandle GetILayerSupportByBackendId(const armnn::BackendId& backend);
/// Convenience function to check if a capability exists in a BackendCapabilites struct
bool HasCapability(const std::string& name,const BackendCapabilities& capabilities);
/// Convenience function to check if a capability exists in a backend
bool HasCapability(const std::string& name, const armnn::BackendId& backend);
/// Convenience function to check if a given capability matches a capability in a BackendCapabilities struct
bool HasCapability(const BackendOptions::BackendOption& capability, const BackendCapabilities& capabilities);
/// Convenience function to check if a given capability matches a capability in a backend
bool HasCapability(const BackendOptions::BackendOption& backendOption, const armnn::BackendId& backend);
/// Returns a BackendCapability if the backend lists the capability
/// The BackendCapability must then be inspected to check whether or not that BackendCapability is supported
/// Otherwise returns an EmptyOptional if the BackendCapability is unlisted
Optional<const BackendOptions::BackendOption> GetCapability(const std::string& backendCapabilityName,
const BackendCapabilities& capabilities);
/// Returns a BackendCapability if the backend lists the capability
/// The BackendCapability must then be inspected to check whether or not that BackendCapability is supported
/// Otherwise returns an EmptyOptional if the BackendCapability is unlisted
Optional<const BackendOptions::BackendOption> GetCapability(const std::string& backendCapabilityName,
const armnn::BackendId& backend);
/// Convenience function to check a capability on a backend
ARMNN_DEPRECATED_MSG_REMOVAL_DATE("This function has been deprecated in favour of GetBackendCapability", "22.05")
bool IsCapabilitySupported(const armnn::BackendId& backend, armnn::BackendCapability capability);
/// Returns the number of cached files if backend supports caching
unsigned int GetNumberOfCacheFiles(const armnn::BackendId& backend);
}
|
