diff options
Diffstat (limited to 'src/backends/reference/RefLayerSupport.cpp')
| -rw-r--r-- | src/backends/reference/RefLayerSupport.cpp | 119 |
1 files changed, 5 insertions, 114 deletions
diff --git a/src/backends/reference/RefLayerSupport.cpp b/src/backends/reference/RefLayerSupport.cpp index c0ede678bf..b80aa9992f 100644 --- a/src/backends/reference/RefLayerSupport.cpp +++ b/src/backends/reference/RefLayerSupport.cpp @@ -58,15 +58,6 @@ std::string CreateIncorrectDimensionsErrorMsg(unsigned int expected, } // anonymous namespace -bool RefLayerSupport::IsAbsSupported(const TensorInfo& input, const TensorInfo& output, - Optional<std::string&> reasonIfUnsupported) const -{ - return IsElementwiseUnarySupported(input, - output, - ElementwiseUnaryDescriptor(UnaryOperation::Abs), - reasonIfUnsupported); -} - bool RefLayerSupport::IsActivationSupported(const TensorInfo& input, const TensorInfo& output, const ActivationDescriptor& descriptor, @@ -565,15 +556,12 @@ bool RefLayerSupport::IsConvolution2dSupported(const TensorInfo& input, const DataType inputType = input.GetDataType(); if (IsQuantized8BitType(inputType)) { - ARMNN_NO_DEPRECATE_WARN_BEGIN - std::array<DataType, 4> supportedWeightTypes = + std::array<DataType, 3> supportedWeightTypes = { DataType::QAsymmS8, DataType::QAsymmU8, - DataType::QSymmS8, - DataType::QuantizedSymm8PerAxis // deprecated + DataType::QSymmS8 }; - ARMNN_NO_DEPRECATE_WARN_END supported &= CheckSupportRule(TypeAnyOf(weights, supportedWeightTypes), reasonIfUnsupported, "Reference Convolution2d: weights type not supported for quantized input."); @@ -769,15 +757,12 @@ bool RefLayerSupport::IsDepthwiseConvolutionSupported(const TensorInfo& input, const DataType inputType = input.GetDataType(); if (IsQuantized8BitType(inputType)) { - ARMNN_NO_DEPRECATE_WARN_BEGIN - std::array<DataType, 4> supportedWeightTypes = + std::array<DataType, 3> supportedWeightTypes = { DataType::QAsymmS8, DataType::QAsymmU8, DataType::QSymmS8, - DataType::QuantizedSymm8PerAxis // deprecated }; - ARMNN_NO_DEPRECATE_WARN_END supported &= CheckSupportRule(TypeAnyOf(weights, supportedWeightTypes), reasonIfUnsupported, "Reference DepthwiseConvolution2d: weights type not supported for " @@ -977,18 +962,6 @@ bool RefLayerSupport::IsElementwiseUnarySupported(const TensorInfo& input, return supported; } -bool RefLayerSupport::IsEqualSupported(const TensorInfo& input0, - const TensorInfo& input1, - const TensorInfo& output, - Optional<std::string&> reasonIfUnsupported) const -{ - return IsComparisonSupported(input0, - input1, - output, - ComparisonDescriptor(ComparisonOperation::Equal), - reasonIfUnsupported); -} - bool RefLayerSupport::IsFakeQuantizationSupported(const TensorInfo& input, const FakeQuantizationDescriptor& descriptor, Optional<std::string&> reasonIfUnsupported) const @@ -1173,18 +1146,6 @@ bool RefLayerSupport::IsGatherSupported(const armnn::TensorInfo& input0, return supported; } -bool RefLayerSupport::IsGreaterSupported(const TensorInfo& input0, - const TensorInfo& input1, - const TensorInfo& output, - Optional<std::string&> reasonIfUnsupported) const -{ - return IsComparisonSupported(input0, - input1, - output, - ComparisonDescriptor(ComparisonOperation::Greater), - reasonIfUnsupported); -} - bool RefLayerSupport::IsInputSupported(const TensorInfo& /*input*/, Optional<std::string&> /*reasonIfUnsupported*/) const { @@ -1523,14 +1484,6 @@ bool RefLayerSupport::IsMeanSupported(const TensorInfo& input, return supported; } -bool RefLayerSupport::IsMergerSupported(const std::vector<const TensorInfo*> inputs, - const TensorInfo& output, - const MergerDescriptor& descriptor, - Optional<std::string&> reasonIfUnsupported) const -{ - return IsConcatSupported(inputs, output, descriptor, reasonIfUnsupported); -} - bool RefLayerSupport::IsMemCopySupported(const TensorInfo &input, const TensorInfo &output, Optional<std::string &> reasonIfUnsupported) const @@ -1897,33 +1850,6 @@ bool RefLayerSupport::IsReshapeSupported(const TensorInfo& input, "Reference reshape: input type not supported."); } -bool RefLayerSupport::IsResizeBilinearSupported(const TensorInfo& input, - const TensorInfo& output, - Optional<std::string&> reasonIfUnsupported) const -{ - bool supported = true; - std::array<DataType,6> supportedTypes = - { - DataType::BFloat16, - DataType::Float32, - DataType::Float16, - DataType::QAsymmS8, - DataType::QAsymmU8, - DataType::QSymmS16 - }; - - supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported, - "Reference ResizeBilinear: input type not supported"); - - supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported, - "Reference ResizeBilinear: output type not supported"); - - supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported, - "Reference ResizeBilinear: input and output types not matching"); - - return supported; -} - bool RefLayerSupport::IsResizeSupported(const TensorInfo& input, const TensorInfo& output, const ResizeDescriptor& descriptor, @@ -1953,16 +1879,6 @@ bool RefLayerSupport::IsResizeSupported(const TensorInfo& input, return supported; } -bool RefLayerSupport::IsRsqrtSupported(const TensorInfo& input, - const TensorInfo& output, - Optional<std::string&> reasonIfUnsupported) const -{ - return IsElementwiseUnarySupported(input, - output, - ElementwiseUnaryDescriptor(UnaryOperation::Rsqrt), - reasonIfUnsupported); -} - bool RefLayerSupport::IsShapeSupported(const TensorInfo& input, const TensorInfo& output, Optional<std::string&> reasonIfUnsupported) const @@ -2101,28 +2017,6 @@ bool RefLayerSupport::IsSpaceToDepthSupported(const TensorInfo& input, } bool RefLayerSupport::IsSplitterSupported(const TensorInfo& input, - const ViewsDescriptor& descriptor, - Optional<std::string&> reasonIfUnsupported) const -{ - IgnoreUnused(descriptor); - bool supported = true; - std::array<DataType,6> supportedTypes = - { - DataType::BFloat16, - DataType::Float32, - DataType::Float16, - DataType::QAsymmS8, - DataType::QAsymmU8, - DataType::QSymmS16 - }; - - supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported, - "Reference splitter: input type not supported"); - - return supported; -} - -bool RefLayerSupport::IsSplitterSupported(const TensorInfo& input, const std::vector<std::reference_wrapper<TensorInfo>>& outputs, const ViewsDescriptor& descriptor, Optional<std::string&> reasonIfUnsupported) const @@ -2322,15 +2216,12 @@ bool RefLayerSupport::IsTransposeConvolution2dSupported(const TensorInfo& input, const DataType inputType = input.GetDataType(); if (IsQuantized8BitType(inputType)) { - ARMNN_NO_DEPRECATE_WARN_BEGIN - std::array<DataType, 4> supportedWeightTypes = + std::array<DataType, 3> supportedWeightTypes = { DataType::QAsymmS8, DataType::QAsymmU8, - DataType::QSymmS8, - DataType::QuantizedSymm8PerAxis //Deprecated + DataType::QSymmS8 }; - ARMNN_NO_DEPRECATE_WARN_END supported &= CheckSupportRule(TypeAnyOf(weights, supportedWeightTypes), reasonIfUnsupported, "Reference TransposeConvolution2d: weights type not supported for " |