| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include <armnn/Exceptions.hpp> |
| |
| #include <backendsCommon/LayerSupportBase.hpp> |
| |
| #include <boost/core/ignore_unused.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::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::IsConvertFp16ToFp32Supported(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::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::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::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::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 &> /*reasonIfUnsupported*/) const |
| { |
| return true; |
| } |
| |
| bool LayerSupportBase::IsMemImportSupported(const armnn::TensorInfo& /*input*/, |
| const armnn::TensorInfo& /*output*/, |
| armnn::Optional<std::string &> /*reasonIfUnsupported*/) const |
| { |
| 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::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::IsReshapeSupported(const TensorInfo& /*input*/, |
| 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::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); |
| } |
| |
| } // namespace armnn |
