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author | Cathal Corbett <cathal.corbett@arm.com> | 2021-12-24 12:24:40 +0000 |
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committer | Cathal Corbett <cathal.corbett@arm.com> | 2022-01-19 12:58:56 +0000 |
commit | 34b429c2215bab7fd12b761dd5c200414c1b4a5b (patch) | |
tree | 7518ec40c8e56dbf229421d47d9527ed7aadd33e /src/backends/cl/ClLayerSupport.cpp | |
parent | 479e230479c10dcf9b9a79a3e80f0847d6ae5293 (diff) | |
download | armnn-34b429c2215bab7fd12b761dd5c200414c1b4a5b.tar.gz |
IVGCVSW-6629 Stabilize the ILayerSupport interface with unified strategy.
* New Virtual Function Added.
* Implemented in Ref Neon CL with switch statement for all layers.
* Deprecate original IsXXXLayerSupported functions.
* Ensure Npu not broken with change.
Change-Id: Icf61b16beec83d6af1cb287e24ab1e98a6138c8c
Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Diffstat (limited to 'src/backends/cl/ClLayerSupport.cpp')
-rw-r--r-- | src/backends/cl/ClLayerSupport.cpp | 412 |
1 files changed, 410 insertions, 2 deletions
diff --git a/src/backends/cl/ClLayerSupport.cpp b/src/backends/cl/ClLayerSupport.cpp index afcaf566a9..e5204e4d5b 100644 --- a/src/backends/cl/ClLayerSupport.cpp +++ b/src/backends/cl/ClLayerSupport.cpp @@ -7,7 +7,6 @@ #include "ClBackendId.hpp" #include "ClBackendModelContext.hpp" -#include <armnn/Descriptors.hpp> #include <armnn/BackendRegistry.hpp> #include <InternalTypes.hpp> @@ -177,6 +176,415 @@ ClLayerSupport::ClLayerSupport() { } +bool ClLayerSupport::IsLayerSupported(const LayerType& type, + const std::vector<TensorInfo>& infos, + const BaseDescriptor& descriptor, + const Optional<LstmInputParamsInfo>& lstmParamsInfo, + const Optional<QuantizedLstmInputParamsInfo>& quantizedLstmParamsInfo, + Optional<std::string&> reasonIfUnsupported) const +{ + switch (type) + { + case LayerType::Activation: + return IsActivationSupported(infos[0], + infos[1], + *(PolymorphicDowncast<const ActivationDescriptor*>(&descriptor)), + reasonIfUnsupported); + case LayerType::Addition: + return IsAdditionSupported(infos[0], infos[1], infos[2], reasonIfUnsupported); + case LayerType::ArgMinMax: + return IsArgMinMaxSupported(infos[0], + infos[1], + *(PolymorphicDowncast<const ArgMinMaxDescriptor*>(&descriptor)), + reasonIfUnsupported); + case LayerType::BatchNormalization: + return IsBatchNormalizationSupported(infos[0], + infos[1], + infos[2], + infos[3], + infos[4], + infos[5], + *(PolymorphicDowncast<const BatchNormalizationDescriptor*> + (&descriptor)), + reasonIfUnsupported); + case LayerType::BatchToSpaceNd: + return IsBatchToSpaceNdSupported(infos[0], + infos[1], + *(PolymorphicDowncast<const BatchToSpaceNdDescriptor*>(&descriptor)), + reasonIfUnsupported); + case LayerType::Comparison: + return IsComparisonSupported(infos[0], + infos[1], + infos[2], + *(PolymorphicDowncast<const ComparisonDescriptor*>(&descriptor)), + reasonIfUnsupported); + case LayerType::Concat: + { + std::vector<const TensorInfo*> inputInfos; + for (uint32_t i = 0; i < (infos.size() - 1); i++) + { + inputInfos.push_back(&infos[i]); + } + return IsConcatSupported(inputInfos, + infos[infos.size() - 1], + *(PolymorphicDowncast<const OriginsDescriptor*>(&descriptor)), + reasonIfUnsupported); + } + case LayerType::Constant: + return IsConstantSupported(infos[0], reasonIfUnsupported); + case LayerType::ConvertFp16ToFp32: + return IsConvertFp16ToFp32Supported(infos[0], infos[1], reasonIfUnsupported); + case LayerType::ConvertFp32ToFp16: + return IsConvertFp32ToFp16Supported(infos[0], infos[1], reasonIfUnsupported); + case LayerType::Convolution2d: + { + if (infos.size() != 4) + { + throw InvalidArgumentException("Invalid number of Convolution2d TensorInfos. " + "TensorInfos should be of format: {input, output, weights, biases}."); + } + + auto desc = *(PolymorphicDowncast<const Convolution2dDescriptor*>(&descriptor)); + if (infos[3] == TensorInfo()) + { + return IsConvolution2dSupported(infos[0], + infos[1], + desc, + infos[2], + EmptyOptional(), + reasonIfUnsupported); + } + else + { + return IsConvolution2dSupported(infos[0], + infos[1], + desc, + infos[2], + infos[3], + reasonIfUnsupported); + } + } + case LayerType::DepthToSpace: + return IsDepthToSpaceSupported(infos[0], + infos[1], + *(PolymorphicDowncast<const DepthToSpaceDescriptor*>(&descriptor)), + reasonIfUnsupported); + case LayerType::DepthwiseConvolution2d: + { + if (infos.size() != 4) + { + throw InvalidArgumentException("Invalid number of DepthwiseConvolution2d TensorInfos. " + "TensorInfos should be of format: {input, output, weights, biases}."); + } + + auto desc = *(PolymorphicDowncast<const DepthwiseConvolution2dDescriptor*>(&descriptor)); + if (infos[3] == TensorInfo()) + { + return IsDepthwiseConvolutionSupported(infos[0], + infos[1], + desc, + infos[2], + EmptyOptional(), + reasonIfUnsupported); + } + else + { + return IsDepthwiseConvolutionSupported(infos[0], + infos[1], + desc, + infos[2], + infos[3], + reasonIfUnsupported); + } + } + case LayerType::Dequantize: + return IsDequantizeSupported(infos[0], infos[1], reasonIfUnsupported); + case LayerType::Division: + return IsDivisionSupported(infos[0], infos[1], infos[2], reasonIfUnsupported); + case LayerType::ElementwiseUnary: + return IsElementwiseUnarySupported(infos[0], + infos[1], + *(PolymorphicDowncast<const ElementwiseUnaryDescriptor*>(&descriptor)), + reasonIfUnsupported); + case LayerType::Fill: + return IsFillSupported(infos[0], + infos[1], + *(PolymorphicDowncast<const FillDescriptor*>(&descriptor)), + reasonIfUnsupported); + case LayerType::Floor: + return IsFloorSupported(infos[0], infos[1], reasonIfUnsupported); + case LayerType::FullyConnected: + return IsFullyConnectedSupported(infos[0], + infos[1], + infos[2], + infos[3], + *(PolymorphicDowncast<const FullyConnectedDescriptor*>(&descriptor)), + reasonIfUnsupported); + case LayerType::Gather: + return IsGatherSupported(infos[0], + infos[1], + infos[2], + *(PolymorphicDowncast<const GatherDescriptor*>(&descriptor)), + reasonIfUnsupported); + case LayerType::Input: + return IsInputSupported(infos[0], reasonIfUnsupported); + case LayerType::InstanceNormalization: + return IsInstanceNormalizationSupported(infos[0], + infos[1], + *(PolymorphicDowncast<const InstanceNormalizationDescriptor*> + (&descriptor)), + reasonIfUnsupported); + case LayerType::L2Normalization: + return IsL2NormalizationSupported(infos[0], + infos[1], + *(PolymorphicDowncast<const L2NormalizationDescriptor*>(&descriptor)), + reasonIfUnsupported); + case LayerType::LogicalBinary: + return IsLogicalBinarySupported(infos[0], + infos[1], + infos[2], + *(PolymorphicDowncast<const LogicalBinaryDescriptor*>(&descriptor)), + reasonIfUnsupported); + case LayerType::LogSoftmax: + return IsLogSoftmaxSupported(infos[0], + infos[1], + *(PolymorphicDowncast<const LogSoftmaxDescriptor*>(&descriptor)), + reasonIfUnsupported); + case LayerType::Lstm: + return IsLstmSupported(infos[0], + infos[1], + infos[2], + infos[3], + infos[4], + infos[5], + infos[6], + *(PolymorphicDowncast<const LstmDescriptor*>(&descriptor)), + lstmParamsInfo.value(), + reasonIfUnsupported); + case LayerType::QLstm: + return IsQLstmSupported(infos[0], + infos[1], + infos[2], + infos[3], + infos[4], + infos[5], + *(PolymorphicDowncast<const QLstmDescriptor*>(&descriptor)), + lstmParamsInfo.value(), + reasonIfUnsupported); + case LayerType::Maximum: + return IsMaximumSupported(infos[0], infos[1], infos[2], reasonIfUnsupported); + case LayerType::Mean: + return IsMeanSupported(infos[0], + infos[1], + *(PolymorphicDowncast<const MeanDescriptor*>(&descriptor)), + reasonIfUnsupported); + case LayerType::Minimum: + return IsMinimumSupported(infos[0], infos[1], infos[2], reasonIfUnsupported); + case LayerType::Multiplication: + return IsMultiplicationSupported(infos[0], infos[1], infos[2], reasonIfUnsupported); + case LayerType::Normalization: + return IsNormalizationSupported(infos[0], + infos[1], + *(PolymorphicDowncast<const NormalizationDescriptor*>(&descriptor)), + reasonIfUnsupported); + case LayerType::Output: + return IsOutputSupported(infos[0], reasonIfUnsupported); + case LayerType::Pad: + return IsPadSupported(infos[0], + infos[1], + *(PolymorphicDowncast<const PadDescriptor*>(&descriptor)), + reasonIfUnsupported); + case LayerType::Permute: + return IsPermuteSupported(infos[0], + infos[1], + *(PolymorphicDowncast<const PermuteDescriptor*>(&descriptor)), + reasonIfUnsupported); + case LayerType::Pooling2d: + return IsPooling2dSupported(infos[0], + infos[1], + *(PolymorphicDowncast<const Pooling2dDescriptor*>(&descriptor)), + reasonIfUnsupported); + case LayerType::Prelu: + return IsPreluSupported(infos[0], infos[1], infos[2], reasonIfUnsupported); + case LayerType::Quantize: + return IsQuantizeSupported(infos[0], infos[1], reasonIfUnsupported); + case LayerType::QuantizedLstm: + return IsQuantizedLstmSupported(infos[0], + infos[1], + infos[2], + infos[3], + infos[4], + quantizedLstmParamsInfo.value(), + reasonIfUnsupported); + case LayerType::Reshape: + return IsReshapeSupported(infos[0], + infos[1], + *(PolymorphicDowncast<const ReshapeDescriptor*>(&descriptor)), + reasonIfUnsupported); + case LayerType::Resize: + return IsResizeSupported(infos[0], + infos[1], + *(PolymorphicDowncast<const ResizeDescriptor*>(&descriptor)), + reasonIfUnsupported); + case LayerType::Reduce: + return IsReduceSupported(infos[0], + infos[1], + *(PolymorphicDowncast<const ReduceDescriptor*>(&descriptor)), + reasonIfUnsupported); + case LayerType::Slice: + return IsSliceSupported(infos[0], + infos[1], + *(PolymorphicDowncast<const SliceDescriptor*>(&descriptor)), + reasonIfUnsupported); + case LayerType::Softmax: + return IsSoftmaxSupported(infos[0], + infos[1], + *(PolymorphicDowncast<const SoftmaxDescriptor*>(&descriptor)), + reasonIfUnsupported); + case LayerType::SpaceToBatchNd: + return IsSpaceToBatchNdSupported(infos[0], + infos[1], + *(PolymorphicDowncast<const SpaceToBatchNdDescriptor*>(&descriptor)), + reasonIfUnsupported); + case LayerType::SpaceToDepth: + return IsSpaceToDepthSupported(infos[0], + infos[1], + *(PolymorphicDowncast<const SpaceToDepthDescriptor*>(&descriptor)), + reasonIfUnsupported); + case LayerType::Splitter: + { + std::vector<TensorInfo> outputInfos; + for (uint32_t i = 1; i < infos.size(); i++) + { + outputInfos.push_back(infos[i]); + } + return IsSplitterSupported(infos[0], + {outputInfos.begin(), outputInfos.end()}, + *(PolymorphicDowncast<const ViewsDescriptor*>(&descriptor)), + reasonIfUnsupported); + } + case LayerType::Stack: + { + std::vector<const TensorInfo*> inputInfos; + for (uint32_t i = 0; i < infos.size() - 1; i++) + { + inputInfos.push_back(&infos[i]); + } + return IsStackSupported(inputInfos, + infos[infos.size() - 1], + *(PolymorphicDowncast<const StackDescriptor*>(&descriptor)), + reasonIfUnsupported); + } + case LayerType::StridedSlice: + return IsStridedSliceSupported(infos[0], + infos[1], + *(PolymorphicDowncast<const StridedSliceDescriptor*>(&descriptor)), + reasonIfUnsupported); + case LayerType::Subtraction: + return IsSubtractionSupported(infos[0], infos[1], infos[2], reasonIfUnsupported); + case LayerType::Transpose: + return IsTransposeSupported(infos[0], + infos[1], + *(PolymorphicDowncast<const TransposeDescriptor*>(&descriptor)), + reasonIfUnsupported); + case LayerType::TransposeConvolution2d: + { + if (infos.size() != 4) + { + throw InvalidArgumentException("Invalid number of TransposeConvolution2d TensorInfos. " + "TensorInfos should be of format: {input, output, weights, biases}."); + } + + auto desc = *(PolymorphicDowncast<const TransposeConvolution2dDescriptor*>(&descriptor)); + if (infos[3] == TensorInfo()) + { + return IsTransposeConvolution2dSupported(infos[0], + infos[1], + desc, + infos[2], + EmptyOptional(), + reasonIfUnsupported); + } + else + { + return IsTransposeConvolution2dSupported(infos[0], + infos[1], + desc, + infos[2], + infos[3], + reasonIfUnsupported); + } + } + case LayerType::Cast: + return IsCastSupported(infos[0], infos[1], reasonIfUnsupported); + case LayerType::ChannelShuffle: + return IsChannelShuffleSupported(infos[0], + infos[1], + *(PolymorphicDowncast<const ChannelShuffleDescriptor*>(&descriptor)), + reasonIfUnsupported); + case LayerType::Convolution3d: + { + if (infos.size() != 4) + { + throw InvalidArgumentException("Invalid number of Convolution3d TensorInfos. " + "TensorInfos should be of format: {input, output, weights, biases}."); + } + + auto desc = *(PolymorphicDowncast<const Convolution3dDescriptor*>(&descriptor)); + if (infos[3] == TensorInfo()) + { + return IsConvolution3dSupported(infos[0], + infos[1], + desc, + infos[2], + EmptyOptional(), + reasonIfUnsupported); + } + else + { + return IsConvolution3dSupported(infos[0], + infos[1], + desc, + infos[2], + infos[3], + reasonIfUnsupported); + } + } + case LayerType::MemCopy: + return LayerSupportBase::IsMemCopySupported(infos[0], infos[1], reasonIfUnsupported); + case LayerType::MemImport: + return LayerSupportBase::IsMemImportSupported(infos[0], infos[1], reasonIfUnsupported); + case LayerType::Map: + return true; + case LayerType::Unmap: + return true; + case LayerType::Merge: + return LayerSupportBase::IsMergeSupported(infos[0], + infos[1], + infos[2], + reasonIfUnsupported); + case LayerType::Rank: + return true; + case LayerType::Shape: + return LayerSupportBase::IsShapeSupported(infos[0], + infos[1], + reasonIfUnsupported); + case LayerType::ConvertBf16ToFp32: + return LayerSupportBase::IsConvertBf16ToFp32Supported(infos[0], + infos[1], + reasonIfUnsupported); + case LayerType::ConvertFp32ToBf16: + return LayerSupportBase::IsConvertFp32ToBf16Supported(infos[0], + infos[1], + reasonIfUnsupported); + default: + // layers not supported in cl by default: + // debug, detectionpostprocess, fakequantization, precompiled, + // standin, switch, unidirectionalsequencelstm, pooling3d + return false; + } +} + bool ClLayerSupport::IsActivationSupported(const TensorInfo& input, const TensorInfo& output, const ActivationDescriptor& descriptor, @@ -286,7 +694,7 @@ bool ClLayerSupport::IsComparisonSupported(const TensorInfo& input0, bool ClLayerSupport::IsConcatSupported(const std::vector<const TensorInfo*> inputs, const TensorInfo& output, - const ConcatDescriptor& descriptor, + const OriginsDescriptor& descriptor, Optional<std::string&> reasonIfUnsupported) const { if (descriptor.GetNumDimensions() <= descriptor.GetConcatAxis()) |