| // |
| // Copyright © 2017 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include <armnn/Deprecated.hpp> |
| #include <armnn/Descriptors.hpp> |
| #include <armnn/Exceptions.hpp> |
| #include <armnn/Types.hpp> |
| |
| #include <backendsCommon/LayerSupportBase.hpp> |
| |
| #include <armnn/utility/IgnoreUnused.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::IsAbsSupported(const TensorInfo&, // input |
| const TensorInfo&, // output |
| Optional<std::string &> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| 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::IsArgMinMaxSupported(const armnn::TensorInfo&, // input |
| const armnn::TensorInfo&, // output |
| const armnn::ArgMinMaxDescriptor&, // descriptor |
| armnn::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::IsCastSupported(const TensorInfo&, //input |
| const TensorInfo&, //output |
| Optional<std::string &> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsChannelShuffleSupported(const TensorInfo&, //input |
| const TensorInfo&, //output |
| const ChannelShuffleDescriptor&, //descriptor |
| Optional<std::string &> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsComparisonSupported(const TensorInfo&, // input0 |
| const TensorInfo&, // input1 |
| const TensorInfo&, // output |
| const ComparisonDescriptor&, // descriptor |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsConcatSupported(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::IsConstantSupported(const TensorInfo&, // output |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsConvertBf16ToFp32Supported(const TensorInfo&, // input |
| 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::IsConvertFp32ToBf16Supported(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 |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsDepthToSpaceSupported(const TensorInfo&, // input |
| const TensorInfo&, // output |
| const DepthToSpaceDescriptor&, // 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::IsDequantizeSupported(const TensorInfo&, // input |
| const TensorInfo&, // output |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::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) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsDilatedDepthwiseConvolutionSupported(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::IsElementwiseUnarySupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const ElementwiseUnaryDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| if (descriptor.m_Operation == UnaryOperation::Abs) |
| { |
| ARMNN_NO_DEPRECATE_WARN_BEGIN |
| return IsAbsSupported(input, output, reasonIfUnsupported); |
| ARMNN_NO_DEPRECATE_WARN_END |
| } |
| else if (descriptor.m_Operation == UnaryOperation::Rsqrt) |
| { |
| ARMNN_NO_DEPRECATE_WARN_BEGIN |
| return IsRsqrtSupported(input, output, reasonIfUnsupported); |
| ARMNN_NO_DEPRECATE_WARN_END |
| } |
| return false; |
| } |
| |
| 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::IsFillSupported(const TensorInfo&, // input |
| const TensorInfo&, // output |
| const FillDescriptor&, // 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::IsGatherSupported(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::IsGatherSupported(const armnn::TensorInfo&, // input0 |
| const armnn::TensorInfo&, // input1 |
| const armnn::TensorInfo&, // output |
| const GatherDescriptor&, // descriptor |
| armnn::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::IsInputSupported(const TensorInfo&, // input |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsInstanceNormalizationSupported(const TensorInfo&, // input |
| const TensorInfo&, // output |
| const InstanceNormalizationDescriptor&, // descriptor |
| 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::IsLogicalBinarySupported(const TensorInfo&, // input0 |
| const TensorInfo&, // input1 |
| const TensorInfo&, // output |
| const LogicalBinaryDescriptor&, // descriptor |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsLogicalUnarySupported(const TensorInfo&, // input |
| const TensorInfo&, // output |
| const ElementwiseUnaryDescriptor&, // descriptor |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsLogSoftmaxSupported(const TensorInfo&, // input |
| const TensorInfo&, // output |
| const LogSoftmaxDescriptor&, // 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 LstmInputParamsInfo&, // paramsInfo |
| 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 &> ) const // reasonIfUnsupported |
| { |
| return true; |
| } |
| |
| bool LayerSupportBase::IsMemImportSupported(const armnn::TensorInfo&, // input |
| const armnn::TensorInfo&, // output |
| armnn::Optional<std::string &> ) const // reasonIfUnsupported |
| { |
| return true; |
| } |
| |
| bool LayerSupportBase::IsMergeSupported(const TensorInfo&, // input0 |
| const TensorInfo&, // input1 |
| const TensorInfo&, // output |
| 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 IsConcatSupported(inputs, output, descriptor, 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::IsPreluSupported(const TensorInfo&, // input |
| const TensorInfo&, // alpha |
| const TensorInfo&, // output |
| Optional<std::string &> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsQuantizeSupported(const armnn::TensorInfo&, // input |
| const armnn::TensorInfo&, // output |
| armnn::Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::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) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsQuantizedLstmSupported(const TensorInfo&, // input |
| const TensorInfo&, // previousCellStateIn |
| const TensorInfo&, // previousOutputIn |
| const TensorInfo&, // cellStateOut |
| const TensorInfo&, // output |
| const QuantizedLstmInputParamsInfo&, // paramsInfo |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsRankSupported(const TensorInfo&, // input |
| const TensorInfo&, // output |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsReduceSupported(const TensorInfo& /*input*/, |
| const TensorInfo& /*output*/, |
| const ReduceDescriptor& /*descriptor*/, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsReshapeSupported(const TensorInfo&, // input |
| const TensorInfo&, // output |
| const ReshapeDescriptor&, // descriptor |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsResizeBilinearSupported(const TensorInfo&, // input |
| const TensorInfo&, // output |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsResizeSupported(const TensorInfo&, // input |
| const TensorInfo&, // output |
| const ResizeDescriptor&, // descriptor |
| 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); |
| } |
| |
| bool LayerSupportBase::IsShapeSupported(const TensorInfo&, // input |
| const TensorInfo&, // output |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsSliceSupported(const TensorInfo&, // input |
| const TensorInfo&, // output |
| const SliceDescriptor&, // descriptor |
| 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::IsSpaceToDepthSupported(const TensorInfo&, // input |
| const TensorInfo&, // output |
| const SpaceToDepthDescriptor&, // 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::IsSplitterSupported(const TensorInfo&, // input |
| const std::vector<std::reference_wrapper<TensorInfo>>&, // outputs |
| const ViewsDescriptor&, // descriptor |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsStackSupported(const std::vector<const TensorInfo*>&, // inputs |
| const TensorInfo&, // output |
| const StackDescriptor&, // descriptor |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsStandInSupported(const std::vector<const TensorInfo*>&, // inputs |
| const std::vector<const TensorInfo*>&, // outputs |
| const StandInDescriptor&, // descriptor |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| if (reasonIfUnsupported) |
| { |
| std::stringstream message; |
| message << "StandIn layer is not executable via backends"; |
| |
| reasonIfUnsupported.value() = message.str(); |
| } |
| |
| return false; |
| } |
| |
| 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::IsSwitchSupported(const TensorInfo&, // input0 |
| const TensorInfo&, // input1 |
| const TensorInfo&, // output0 |
| const TensorInfo&, // output1 |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsTransposeConvolution2dSupported(const TensorInfo&, // input |
| const TensorInfo&, // output |
| const TransposeConvolution2dDescriptor&, // descriptor |
| const TensorInfo&, // weights |
| const Optional<TensorInfo>&, // biases |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsTransposeSupported(const TensorInfo&, // input |
| const TensorInfo&, // output |
| const TransposeDescriptor&, // descriptor |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| bool LayerSupportBase::IsUnidirectionalSequenceLstmSupported(const TensorInfo&, // input |
| const TensorInfo&, // outputStateIn |
| const TensorInfo&, // cellStateIn |
| const TensorInfo&, // output |
| const Optional<TensorInfo>&, // hiddenStateOut |
| const Optional<TensorInfo>&, // cellStateOut |
| const LstmDescriptor&, // descriptor |
| const LstmInputParamsInfo&, // paramsInfo |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); |
| } |
| |
| } // namespace armnn |