diff options
Diffstat (limited to 'src/backends/reference/RefLayerSupport.cpp')
| -rw-r--r-- | src/backends/reference/RefLayerSupport.cpp | 168 |
1 files changed, 83 insertions, 85 deletions
diff --git a/src/backends/reference/RefLayerSupport.cpp b/src/backends/reference/RefLayerSupport.cpp index e6b1442e4d..2ee942cc2e 100644 --- a/src/backends/reference/RefLayerSupport.cpp +++ b/src/backends/reference/RefLayerSupport.cpp @@ -17,22 +17,12 @@ using namespace boost; namespace armnn { -namespace -{ - -std::string* GetReasonIfUnsupportedPtr(const Optional<std::string&>& reasonIfUnsupported) -{ - return reasonIfUnsupported ? &reasonIfUnsupported.value() : nullptr; -} - -} // anonymous namespace - bool RefLayerSupport::IsActivationSupported(const TensorInfo& input, const TensorInfo& output, const ActivationDescriptor& descriptor, Optional<std::string&> reasonIfUnsupported) const { - return armnn::IsActivationSupportedRef(input, output, descriptor, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); + return armnn::IsActivationSupportedRef(input, output, descriptor, reasonIfUnsupported); } bool RefLayerSupport::IsAdditionSupported(const TensorInfo& input0, @@ -40,10 +30,7 @@ bool RefLayerSupport::IsAdditionSupported(const TensorInfo& input0, const TensorInfo& output, Optional<std::string&> reasonIfUnsupported) const { - return armnn::IsAdditionSupportedRef(input0, - input1, - output, - GetReasonIfUnsupportedPtr(reasonIfUnsupported)); + return armnn::IsAdditionSupportedRef(input0, input1, output, reasonIfUnsupported); } bool RefLayerSupport::IsBatchNormalizationSupported(const TensorInfo& input, @@ -62,27 +49,27 @@ bool RefLayerSupport::IsBatchNormalizationSupported(const TensorInfo& input, beta, gamma, descriptor, - GetReasonIfUnsupportedPtr(reasonIfUnsupported)); + reasonIfUnsupported); } bool RefLayerSupport::IsConstantSupported(const TensorInfo& output, Optional<std::string&> reasonIfUnsupported) const { - return armnn::IsConstantSupportedRef(output, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); + return armnn::IsConstantSupportedRef(output, reasonIfUnsupported); } bool RefLayerSupport::IsConvertFp16ToFp32Supported(const TensorInfo& input, const TensorInfo& output, Optional<std::string&> reasonIfUnsupported) const { - return armnn::IsConvertFp16ToFp32SupportedRef(input, output, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); + return armnn::IsConvertFp16ToFp32SupportedRef(input, output, reasonIfUnsupported); } bool RefLayerSupport::IsConvertFp32ToFp16Supported(const TensorInfo& input, const TensorInfo& output, Optional<std::string&> reasonIfUnsupported) const { - return armnn::IsConvertFp32ToFp16SupportedRef(input, output, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); + return armnn::IsConvertFp32ToFp16SupportedRef(input, output, reasonIfUnsupported); } bool RefLayerSupport::IsConvolution2dSupported(const TensorInfo& input, @@ -97,7 +84,7 @@ bool RefLayerSupport::IsConvolution2dSupported(const TensorInfo& input, descriptor, weights, biases, - GetReasonIfUnsupportedPtr(reasonIfUnsupported)); + reasonIfUnsupported); } bool RefLayerSupport::IsDepthwiseConvolutionSupported(const TensorInfo& input, @@ -112,7 +99,7 @@ bool RefLayerSupport::IsDepthwiseConvolutionSupported(const TensorInfo& input, descriptor, weights, biases, - GetReasonIfUnsupportedPtr(reasonIfUnsupported)); + reasonIfUnsupported); } bool RefLayerSupport::IsDivisionSupported(const TensorInfo& input0, @@ -120,21 +107,21 @@ bool RefLayerSupport::IsDivisionSupported(const TensorInfo& input0, const TensorInfo& output, Optional<std::string&> reasonIfUnsupported) const { - return armnn::IsDivisionSupportedRef(input0, input1, output, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); + return armnn::IsDivisionSupportedRef(input0, input1, output, reasonIfUnsupported); } bool RefLayerSupport::IsFakeQuantizationSupported(const TensorInfo& input, const FakeQuantizationDescriptor& descriptor, Optional<std::string&> reasonIfUnsupported) const { - return armnn::IsFakeQuantizationSupportedRef(input, descriptor, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); + return armnn::IsFakeQuantizationSupportedRef(input, descriptor, reasonIfUnsupported); } bool RefLayerSupport::IsFloorSupported(const TensorInfo& input, const TensorInfo& output, Optional<std::string&> reasonIfUnsupported) const { - return armnn::IsFloorSupportedRef(input, output, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); + return armnn::IsFloorSupportedRef(input, output, reasonIfUnsupported); } bool RefLayerSupport::IsFullyConnectedSupported(const TensorInfo& input, @@ -149,13 +136,13 @@ bool RefLayerSupport::IsFullyConnectedSupported(const TensorInfo& input, weights, biases, descriptor, - GetReasonIfUnsupportedPtr(reasonIfUnsupported)); + reasonIfUnsupported); } bool RefLayerSupport::IsInputSupported(const TensorInfo& input, Optional<std::string&> reasonIfUnsupported) const { - return armnn::IsInputSupportedRef(input, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); + return armnn::IsInputSupportedRef(input, reasonIfUnsupported); } bool RefLayerSupport::IsL2NormalizationSupported(const TensorInfo& input, @@ -163,10 +150,7 @@ bool RefLayerSupport::IsL2NormalizationSupported(const TensorInfo& input, const L2NormalizationDescriptor& descriptor, Optional<std::string&> reasonIfUnsupported) const { - return armnn::IsL2NormalizationSupportedRef(input, - output, - descriptor, - GetReasonIfUnsupportedPtr(reasonIfUnsupported)); + return armnn::IsL2NormalizationSupportedRef(input, output, descriptor, reasonIfUnsupported); } bool RefLayerSupport::IsLstmSupported(const TensorInfo& input, @@ -221,7 +205,7 @@ bool RefLayerSupport::IsLstmSupported(const TensorInfo& input, projectionBias, cellToForgetWeights, cellToOutputWeights, - GetReasonIfUnsupportedPtr(reasonIfUnsupported)); + reasonIfUnsupported); } bool RefLayerSupport::IsMeanSupported(const TensorInfo& input, @@ -229,14 +213,14 @@ bool RefLayerSupport::IsMeanSupported(const TensorInfo& input, const MeanDescriptor& descriptor, Optional<std::string&> reasonIfUnsupported) const { - return armnn::IsMeanSupportedRef(input, output, descriptor, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); + return armnn::IsMeanSupportedRef(input, output, descriptor,reasonIfUnsupported); } bool RefLayerSupport::IsMergerSupported(const std::vector<const TensorInfo*> inputs, const OriginsDescriptor& descriptor, Optional<std::string&> reasonIfUnsupported) const { - return armnn::IsMergerSupportedRef(inputs, descriptor, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); + return armnn::IsMergerSupportedRef(inputs, descriptor, reasonIfUnsupported); } bool RefLayerSupport::IsMultiplicationSupported(const TensorInfo& input0, @@ -244,7 +228,7 @@ bool RefLayerSupport::IsMultiplicationSupported(const TensorInfo& input0, const TensorInfo& output, Optional<std::string&> reasonIfUnsupported) const { - return armnn::IsMultiplicationSupportedRef(input0, input1, output, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); + return armnn::IsMultiplicationSupportedRef(input0, input1, output, reasonIfUnsupported); } bool RefLayerSupport::IsNormalizationSupported(const TensorInfo& input, @@ -255,13 +239,13 @@ bool RefLayerSupport::IsNormalizationSupported(const TensorInfo& input, return armnn::IsNormalizationSupportedRef(input, output, descriptor, - GetReasonIfUnsupportedPtr(reasonIfUnsupported)); + reasonIfUnsupported); } bool RefLayerSupport::IsOutputSupported(const TensorInfo& output, Optional<std::string&> reasonIfUnsupported) const { - return armnn::IsOutputSupportedRef(output, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); + return armnn::IsOutputSupportedRef(output, reasonIfUnsupported); } bool RefLayerSupport::IsPadSupported(const TensorInfo& input, @@ -269,7 +253,7 @@ bool RefLayerSupport::IsPadSupported(const TensorInfo& input, const PadDescriptor& descriptor, Optional<std::string&> reasonIfUnsupported) const { - return armnn::IsPadSupportedRef(input, output, descriptor, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); + return armnn::IsPadSupportedRef(input, output, descriptor, reasonIfUnsupported); } bool RefLayerSupport::IsPermuteSupported(const TensorInfo& input, @@ -277,7 +261,7 @@ bool RefLayerSupport::IsPermuteSupported(const TensorInfo& input, const PermuteDescriptor& descriptor, Optional<std::string&> reasonIfUnsupported) const { - return armnn::IsPermuteSupportedRef(input, output, descriptor, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); + return armnn::IsPermuteSupportedRef(input, output, descriptor, reasonIfUnsupported); } bool RefLayerSupport::IsPooling2dSupported(const TensorInfo& input, @@ -285,19 +269,19 @@ bool RefLayerSupport::IsPooling2dSupported(const TensorInfo& input, const Pooling2dDescriptor& descriptor, Optional<std::string&> reasonIfUnsupported) const { - return armnn::IsPooling2dSupportedRef(input, output, descriptor, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); + return armnn::IsPooling2dSupportedRef(input, output, descriptor, reasonIfUnsupported); } bool RefLayerSupport::IsReshapeSupported(const TensorInfo& input, Optional<std::string&> reasonIfUnsupported) const { - return armnn::IsReshapeSupportedRef(input, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); + return armnn::IsReshapeSupportedRef(input, reasonIfUnsupported); } bool RefLayerSupport::IsResizeBilinearSupported(const TensorInfo& input, Optional<std::string&> reasonIfUnsupported) const { - return armnn::IsResizeBilinearSupportedRef(input, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); + return armnn::IsResizeBilinearSupportedRef(input, reasonIfUnsupported); } bool RefLayerSupport::IsSoftmaxSupported(const TensorInfo& input, @@ -305,14 +289,14 @@ bool RefLayerSupport::IsSoftmaxSupported(const TensorInfo& input, const SoftmaxDescriptor& descriptor, Optional<std::string&> reasonIfUnsupported) const { - return armnn::IsSoftmaxSupportedRef(input, output, descriptor, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); + return armnn::IsSoftmaxSupportedRef(input, output, descriptor, reasonIfUnsupported); } bool RefLayerSupport::IsSplitterSupported(const TensorInfo& input, const ViewsDescriptor& descriptor, Optional<std::string&> reasonIfUnsupported) const { - return armnn::IsSplitterSupportedRef(input, descriptor, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); + return armnn::IsSplitterSupportedRef(input, descriptor, reasonIfUnsupported); } bool RefLayerSupport::IsSubtractionSupported(const TensorInfo& input0, @@ -320,7 +304,7 @@ bool RefLayerSupport::IsSubtractionSupported(const TensorInfo& input0, const TensorInfo& output, Optional<std::string&> reasonIfUnsupported) const { - return armnn::IsSubtractionSupportedRef(input0, input1, output, GetReasonIfUnsupportedPtr(reasonIfUnsupported)); + return armnn::IsSubtractionSupportedRef(input0, input1, output, reasonIfUnsupported); } // @@ -329,7 +313,7 @@ bool RefLayerSupport::IsSubtractionSupported(const TensorInfo& input0, // TODO: Functions kept for backward compatibility. Remove once transition to plugable backends is complete! template<typename Float32Func, typename Uint8Func, typename ... Params> -bool IsSupportedForDataTypeRef(std::string* reasonIfUnsupported, +bool IsSupportedForDataTypeRef(Optional<std::string&> reasonIfUnsupported, DataType dataType, Float32Func floatFuncPtr, Uint8Func uint8FuncPtr, @@ -346,7 +330,7 @@ bool IsSupportedForDataTypeRef(std::string* reasonIfUnsupported, bool IsActivationSupportedRef(const TensorInfo& input, const TensorInfo& output, const ActivationDescriptor& descriptor, - std::string* reasonIfUnsupported) + Optional<std::string&> reasonIfUnsupported) { ignore_unused(output); ignore_unused(descriptor); @@ -359,7 +343,7 @@ bool IsActivationSupportedRef(const TensorInfo& input, bool IsAdditionSupportedRef(const TensorInfo& input0, const TensorInfo& input1, const TensorInfo& output, - std::string* reasonIfUnsupported) + Optional<std::string&> reasonIfUnsupported) { ignore_unused(input1); ignore_unused(output); @@ -376,7 +360,7 @@ bool IsBatchNormalizationSupportedRef(const TensorInfo& input, const TensorInfo& beta, const TensorInfo& gamma, const BatchNormalizationDescriptor& descriptor, - std::string* reasonIfUnsupported) + Optional<std::string&> reasonIfUnsupported) { ignore_unused(descriptor); return IsSupportedForDataTypeRef(reasonIfUnsupported, @@ -386,7 +370,7 @@ bool IsBatchNormalizationSupportedRef(const TensorInfo& input, } bool IsConstantSupportedRef(const TensorInfo& output, - std::string* reasonIfUnsupported) + Optional<std::string&> reasonIfUnsupported) { return IsSupportedForDataTypeRef(reasonIfUnsupported, output.GetDataType(), @@ -399,7 +383,7 @@ bool IsConvolution2dSupportedRef(const TensorInfo& input, const Convolution2dDescriptor& descriptor, const TensorInfo& weights, const Optional<TensorInfo>& biases, - std::string* reasonIfUnsupported) + Optional<std::string&> reasonIfUnsupported) { ignore_unused(descriptor); ignore_unused(output); @@ -416,7 +400,7 @@ bool IsDepthwiseConvolutionSupportedRef(const TensorInfo& input, const DepthwiseConvolution2dDescriptor& descriptor, const TensorInfo& weights, const Optional<TensorInfo>& biases, - std::string* reasonIfUnsupported) + Optional<std::string&> reasonIfUnsupported) { ignore_unused(output); ignore_unused(descriptor); @@ -431,7 +415,7 @@ bool IsDepthwiseConvolutionSupportedRef(const TensorInfo& input, bool IsDivisionSupportedRef(const TensorInfo& input0, const TensorInfo& input1, const TensorInfo& output, - std::string* reasonIfUnsupported) + Optional<std::string&> reasonIfUnsupported) { ignore_unused(input1); ignore_unused(output); @@ -444,7 +428,7 @@ bool IsDivisionSupportedRef(const TensorInfo& input0, bool IsSubtractionSupportedRef(const TensorInfo& input0, const TensorInfo& input1, const TensorInfo& output, - std::string* reasonIfUnsupported) + Optional<std::string&> reasonIfUnsupported) { ignore_unused(input1); ignore_unused(output); @@ -459,7 +443,7 @@ bool IsFullyConnectedSupportedRef(const TensorInfo& input, const TensorInfo& weights, const TensorInfo& biases, const FullyConnectedDescriptor& descriptor, - std::string* reasonIfUnsupported) + Optional<std::string&> reasonIfUnsupported) { ignore_unused(output); ignore_unused(descriptor); @@ -472,7 +456,7 @@ bool IsFullyConnectedSupportedRef(const TensorInfo& input, } bool IsInputSupportedRef(const TensorInfo& input, - std::string* reasonIfUnsupported) + Optional<std::string&> reasonIfUnsupported) { return IsSupportedForDataTypeRef(reasonIfUnsupported, input.GetDataType(), @@ -483,7 +467,7 @@ bool IsInputSupportedRef(const TensorInfo& input, bool IsL2NormalizationSupportedRef(const TensorInfo& input, const TensorInfo& output, const L2NormalizationDescriptor& descriptor, - std::string* reasonIfUnsupported) + Optional<std::string&> reasonIfUnsupported) { ignore_unused(output); ignore_unused(descriptor); @@ -495,7 +479,7 @@ bool IsL2NormalizationSupportedRef(const TensorInfo& input, bool IsMergerSupportedRef(const std::vector<const TensorInfo*> inputs, const OriginsDescriptor& descriptor, - std::string* reasonIfUnsupported) + Optional<std::string&> reasonIfUnsupported) { ignore_unused(descriptor); return IsSupportedForDataTypeRef(reasonIfUnsupported, @@ -507,7 +491,7 @@ bool IsMergerSupportedRef(const std::vector<const TensorInfo*> inputs, bool IsMultiplicationSupportedRef(const TensorInfo& input0, const TensorInfo& input1, const TensorInfo& output, - std::string* reasonIfUnsupported) + Optional<std::string&> reasonIfUnsupported) { ignore_unused(input1); ignore_unused(output); @@ -520,7 +504,7 @@ bool IsMultiplicationSupportedRef(const TensorInfo& input0, bool IsNormalizationSupportedRef(const TensorInfo& input, const TensorInfo& output, const NormalizationDescriptor& descriptor, - std::string* reasonIfUnsupported) + Optional<std::string&> reasonIfUnsupported) { ignore_unused(descriptor); return IsSupportedForDataTypeRef(reasonIfUnsupported, @@ -530,7 +514,7 @@ bool IsNormalizationSupportedRef(const TensorInfo& input, } bool IsOutputSupportedRef(const TensorInfo& output, - std::string* reasonIfUnsupported) + Optional<std::string&> reasonIfUnsupported) { return IsSupportedForDataTypeRef(reasonIfUnsupported, output.GetDataType(), @@ -541,7 +525,7 @@ bool IsOutputSupportedRef(const TensorInfo& output, bool IsPermuteSupportedRef(const TensorInfo& input, const TensorInfo& output, const PermuteDescriptor& descriptor, - std::string* reasonIfUnsupported) + Optional<std::string&> reasonIfUnsupported) { ignore_unused(descriptor); return IsSupportedForDataTypeRef(reasonIfUnsupported, @@ -553,7 +537,7 @@ bool IsPermuteSupportedRef(const TensorInfo& input, bool IsPooling2dSupportedRef(const TensorInfo& input, const TensorInfo& output, const Pooling2dDescriptor& descriptor, - std::string* reasonIfUnsupported) + Optional<std::string&> reasonIfUnsupported) { ignore_unused(descriptor); return IsSupportedForDataTypeRef(reasonIfUnsupported, @@ -563,7 +547,7 @@ bool IsPooling2dSupportedRef(const TensorInfo& input, } bool IsResizeBilinearSupportedRef(const TensorInfo& input, - std::string* reasonIfUnsupported) + Optional<std::string&> reasonIfUnsupported) { return IsSupportedForDataTypeRef(reasonIfUnsupported, input.GetDataType(), @@ -574,7 +558,7 @@ bool IsResizeBilinearSupportedRef(const TensorInfo& input, bool IsSoftmaxSupportedRef(const TensorInfo& input, const TensorInfo& output, const SoftmaxDescriptor& descriptor, - std::string* reasonIfUnsupported) + Optional<std::string&> reasonIfUnsupported) { ignore_unused(output); ignore_unused(descriptor); @@ -586,7 +570,7 @@ bool IsSoftmaxSupportedRef(const TensorInfo& input, bool IsSplitterSupportedRef(const TensorInfo& input, const ViewsDescriptor& descriptor, - std::string* reasonIfUnsupported) + Optional<std::string&> reasonIfUnsupported) { ignore_unused(descriptor); return IsSupportedForDataTypeRef(reasonIfUnsupported, @@ -597,7 +581,7 @@ bool IsSplitterSupportedRef(const TensorInfo& input, bool IsFakeQuantizationSupportedRef(const TensorInfo& input, const FakeQuantizationDescriptor& descriptor, - std::string* reasonIfUnsupported) + Optional<std::string&> reasonIfUnsupported) { ignore_unused(descriptor); return IsSupportedForDataTypeRef(reasonIfUnsupported, @@ -607,7 +591,7 @@ bool IsFakeQuantizationSupportedRef(const TensorInfo& input, } bool IsReshapeSupportedRef(const TensorInfo& input, - std::string* reasonIfUnsupported) + Optional<std::string&> reasonIfUnsupported) { return IsSupportedForDataTypeRef(reasonIfUnsupported, input.GetDataType(), @@ -617,7 +601,7 @@ bool IsReshapeSupportedRef(const TensorInfo& input, bool IsFloorSupportedRef(const TensorInfo& input, const TensorInfo& output, - std::string* reasonIfUnsupported) + Optional<std::string&> reasonIfUnsupported) { ignore_unused(output); return IsSupportedForDataTypeRef(reasonIfUnsupported, @@ -626,19 +610,32 @@ bool IsFloorSupportedRef(const TensorInfo& input, &FalseFuncU8<>); } -bool IsLstmSupportedRef(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, std::string* reasonIfUnsupported) +bool IsLstmSupportedRef(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) { ignore_unused(input); ignore_unused(outputStateIn); @@ -665,12 +662,13 @@ bool IsLstmSupportedRef(const TensorInfo& input, const TensorInfo& outputStateIn ignore_unused(projectionBias); ignore_unused(cellToForgetWeights); ignore_unused(cellToOutputWeights); + ignore_unused(reasonIfUnsupported); return false; } bool IsConvertFp16ToFp32SupportedRef(const TensorInfo& input, const TensorInfo& output, - std::string* reasonIfUnsupported) + Optional<std::string&> reasonIfUnsupported) { return (IsSupportedForDataTypeGeneric(reasonIfUnsupported, input.GetDataType(), @@ -686,7 +684,7 @@ bool IsConvertFp16ToFp32SupportedRef(const TensorInfo& input, bool IsConvertFp32ToFp16SupportedRef(const TensorInfo& input, const TensorInfo& output, - std::string* reasonIfUnsupported) + Optional<std::string&> reasonIfUnsupported) { return (IsSupportedForDataTypeGeneric(reasonIfUnsupported, input.GetDataType(), @@ -703,7 +701,7 @@ bool IsConvertFp32ToFp16SupportedRef(const TensorInfo& input, bool IsMeanSupportedRef(const TensorInfo& input, const TensorInfo& output, const MeanDescriptor& descriptor, - std::string* reasonIfUnsupported) + Optional<std::string&> reasonIfUnsupported) { ignore_unused(output); ignore_unused(descriptor); @@ -716,7 +714,7 @@ bool IsMeanSupportedRef(const TensorInfo& input, bool IsPadSupportedRef(const TensorInfo& input, const TensorInfo& output, const PadDescriptor& descriptor, - std::string* reasonIfUnsupported) + Optional<std::string&> reasonIfUnsupported) { ignore_unused(output); ignore_unused(descriptor); |