| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "LayerSupportCommon.hpp" |
| |
| #include "ClLayerSupport.hpp" |
| #include "InternalTypes.hpp" |
| #include <armnn/Descriptors.hpp> |
| #include <armnn/Types.hpp> |
| #include <armnn/Tensor.hpp> |
| |
| #include <boost/core/ignore_unused.hpp> |
| |
| #ifdef ARMCOMPUTECL_ENABLED |
| #include "ClWorkloads/ClAdditionWorkload.hpp" |
| #include "ClWorkloads/ClActivationFloatWorkload.hpp" |
| #include "ClWorkloads/ClBatchNormalizationFloatWorkload.hpp" |
| #include "ClWorkloads/ClConvertFp16ToFp32Workload.hpp" |
| #include "ClWorkloads/ClConvertFp32ToFp16Workload.hpp" |
| #include "ClWorkloads/ClConvolution2dBaseWorkload.hpp" |
| #include "ClWorkloads/ClDepthwiseConvolutionBaseWorkload.hpp" |
| #include "ClWorkloads/ClDivisionFloatWorkload.hpp" |
| #include "ClWorkloads/ClL2NormalizationFloatWorkload.hpp" |
| #include "ClWorkloads/ClMultiplicationFloatWorkload.hpp" |
| #include "ClWorkloads/ClFullyConnectedWorkload.hpp" |
| #include "ClWorkloads/ClPadWorkload.hpp" |
| #include "ClWorkloads/ClPooling2dBaseWorkload.hpp" |
| #include "ClWorkloads/ClPermuteWorkload.hpp" |
| #include "ClWorkloads/ClNormalizationFloatWorkload.hpp" |
| #include "ClWorkloads/ClSoftmaxBaseWorkload.hpp" |
| #include "ClWorkloads/ClSubtractionWorkload.hpp" |
| #include "ClWorkloads/ClLstmFloatWorkload.hpp" |
| #endif |
| |
| using namespace boost; |
| |
| namespace armnn |
| { |
| namespace |
| { |
| template<unsigned int FilterSize> |
| bool IsMatchingSize2d(const TensorInfo& weightInfo) |
| { |
| // Width & Height must match. |
| return (weightInfo.GetShape()[3] == FilterSize) && (weightInfo.GetShape()[2] == FilterSize); |
| } |
| |
| template<uint32_t ValidStride> |
| bool IsMatchingStride(uint32_t actualStride) |
| { |
| return ValidStride == actualStride; |
| } |
| |
| template<uint32_t FirstStride, uint32_t SecondStride, uint32_t... ValidStrides> |
| bool IsMatchingStride(uint32_t actualStride) |
| { |
| return IsMatchingStride<FirstStride>(actualStride) || IsMatchingStride<SecondStride, ValidStrides...>(actualStride); |
| }; |
| |
| bool IsClBackendSupported(std::string* reasonIfUnsupported) |
| { |
| #if ARMCOMPUTECL_ENABLED |
| return true; |
| #else |
| if (reasonIfUnsupported != nullptr) |
| { |
| *reasonIfUnsupported = "The armnn library has been built without CL support"; |
| } |
| return false; |
| #endif |
| } |
| |
| #if ARMCOMPUTECL_ENABLED |
| #define FORWARD_CL_LAYER_SUPPORT_FUNC(expr) (expr) |
| #else |
| #define FORWARD_CL_LAYER_SUPPORT_FUNC(expr) IsClBackendSupported(reasonIfUnsupported) |
| #endif |
| |
| #if ARMCOMPUTECL_ENABLED |
| template<class FuncType, class... Args> |
| inline bool IsWorkloadSupported(FuncType&& func, std::string* reasonIfUnsupported, Args&&... args) |
| { |
| arm_compute::Status aclStatus = func(std::forward<Args>(args)...); |
| const bool supported = (aclStatus.error_code() == arm_compute::ErrorCode::OK); |
| if (!supported && reasonIfUnsupported) |
| { |
| *reasonIfUnsupported = aclStatus.error_description(); |
| } |
| return supported; |
| } |
| |
| #define FORWARD_WORKLOAD_VALIDATE_FUNC(func, reasonIfUnsupported, ...) \ |
| return IsWorkloadSupported(func, reasonIfUnsupported, __VA_ARGS__); |
| #else |
| #define FORWARD_WORKLOAD_VALIDATE_FUNC(func, reasonIfUnsupported, ...) \ |
| return IsClBackendSupported(reasonIfUnsupported); |
| #endif |
| |
| } //namespace |
| |
| template<typename FloatFunc, typename Uint8Func, typename ... Params> |
| bool IsSupportedForDataTypeCl(std::string* reasonIfUnsupported, |
| DataType dataType, |
| FloatFunc floatFuncPtr, |
| Uint8Func uint8FuncPtr, |
| Params&&... params) |
| { |
| return IsClBackendSupported(reasonIfUnsupported) && |
| IsSupportedForDataTypeGeneric(reasonIfUnsupported, |
| dataType, |
| floatFuncPtr, |
| floatFuncPtr, |
| uint8FuncPtr, |
| std::forward<Params>(params)...); |
| } |
| |
| bool IsActivationSupportedCl(const TensorInfo& input, |
| const TensorInfo& output, |
| const ActivationDescriptor& descriptor, |
| std::string* reasonIfUnsupported) |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClActivationWorkloadValidate, |
| reasonIfUnsupported, |
| input, |
| output, |
| descriptor); |
| } |
| |
| bool IsAdditionSupportedCl(const TensorInfo& input0, |
| const TensorInfo& input1, |
| const TensorInfo& output, |
| std::string* reasonIfUnsupported) |
| { |
| return FORWARD_CL_LAYER_SUPPORT_FUNC(ClAdditionValidate(input0, |
| input1, |
| output, |
| reasonIfUnsupported)); |
| } |
| |
| bool IsBatchNormalizationSupportedCl(const TensorInfo& input, |
| const TensorInfo& output, |
| const TensorInfo& mean, |
| const TensorInfo& var, |
| const TensorInfo& beta, |
| const TensorInfo& gamma, |
| const BatchNormalizationDescriptor& descriptor, |
| std::string* reasonIfUnsupported) |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClBatchNormalizationValidate, |
| reasonIfUnsupported, |
| input, |
| output, |
| mean, |
| var, |
| beta, |
| gamma, |
| descriptor); |
| } |
| |
| bool IsConstantSupportedCl(const TensorInfo& output, |
| std::string* reasonIfUnsupported) |
| { |
| return IsSupportedForDataTypeCl(reasonIfUnsupported, |
| output.GetDataType(), |
| &TrueFunc<>, |
| &FalseFuncU8<>); |
| } |
| |
| bool IsClDirectConvolution2dSupported(const TensorInfo& weightInfo, const Convolution2dDescriptor& desc) |
| { |
| bool isSupported = false; |
| |
| bool strideXIsOneOrTwo = IsMatchingStride<1, 2>(desc.m_StrideX); |
| bool strideXIsThree = IsMatchingStride<3>(desc.m_StrideX); |
| |
| bool strideYIsOneOrTwo = IsMatchingStride<1, 2>(desc.m_StrideY); |
| bool strideYIsThree = IsMatchingStride<3>(desc.m_StrideY); |
| |
| bool strideIsOneOrTwo = strideXIsOneOrTwo && strideYIsOneOrTwo; |
| bool strideIsOneOrTwoOrThree = ( strideXIsOneOrTwo || strideXIsThree ) && ( strideYIsOneOrTwo || strideYIsThree ); |
| |
| // 1x1 convolution with strides of 1,2,3. |
| isSupported |= IsMatchingSize2d<1>(weightInfo) && ( strideIsOneOrTwoOrThree ); |
| |
| // 3x3 convolution with strides of 1,2. |
| isSupported |= IsMatchingSize2d<3>(weightInfo) && ( strideIsOneOrTwo ); |
| |
| // 5x5 convolution with strides of 1,2 |
| isSupported |= IsMatchingSize2d<5>(weightInfo) && ( strideIsOneOrTwo ); |
| |
| //Fall back to normal convolution for the asymmetric padding case. |
| if (desc.m_PadLeft != desc.m_PadRight || |
| desc.m_PadTop != desc.m_PadBottom) |
| { |
| //Direct convolution does not support asymmetric padding yet. |
| isSupported = false; |
| } |
| |
| return isSupported; |
| } |
| |
| bool IsDirectConvolution2dParamsSupportedCl(std::string* reasonIfUnsupported, |
| const Convolution2dDescriptor& parameters, |
| const TensorInfo& weightInfo) |
| { |
| return IsClDirectConvolution2dSupported(weightInfo, parameters); |
| } |
| |
| bool IsConvolution2dSupportedCl(const TensorInfo& input, |
| const TensorInfo& output, |
| const Convolution2dDescriptor& descriptor, |
| const TensorInfo& weights, |
| const boost::optional<TensorInfo>& biases, |
| std::string* reasonIfUnsupported) |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClConvolution2dWorkloadValidate, |
| reasonIfUnsupported, |
| input, |
| output, |
| descriptor, |
| weights, |
| biases); |
| } |
| |
| bool IsDepthwiseConvolutionSupportedCl(const TensorInfo& input, |
| const TensorInfo& output, |
| const DepthwiseConvolution2dDescriptor& descriptor, |
| const TensorInfo& weights, |
| const boost::optional<TensorInfo>& biases, |
| std::string* reasonIfUnsupported) |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClDepthwiseConvolutionWorkloadValidate, |
| reasonIfUnsupported, |
| input, |
| output, |
| descriptor, |
| weights, |
| biases); |
| } |
| |
| bool IsDivisionSupportedCl(const TensorInfo& input0, |
| const TensorInfo& input1, |
| const TensorInfo& output, |
| std::string* reasonIfUnsupported) |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClDivisionWorkloadValidate, |
| reasonIfUnsupported, |
| input0, |
| input1, |
| output); |
| } |
| |
| bool IsSubtractionSupportedCl(const TensorInfo& input0, |
| const TensorInfo& input1, |
| const TensorInfo& output, |
| std::string* reasonIfUnsupported) |
| { |
| return FORWARD_CL_LAYER_SUPPORT_FUNC(ClSubtractionValidate(input0, |
| input1, |
| output, |
| reasonIfUnsupported)); |
| } |
| |
| bool IsFullyConnectedSupportedCl(const TensorInfo& input, |
| const TensorInfo& output, |
| const TensorInfo& weights, |
| const TensorInfo& biases, |
| const FullyConnectedDescriptor& descriptor, |
| std::string* reasonIfUnsupported) |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClFullyConnectedWorkloadValidate, |
| reasonIfUnsupported, |
| input, |
| output, |
| weights, |
| biases, |
| descriptor); |
| } |
| |
| bool IsInputSupportedCl(const TensorInfo& input, |
| std::string* reasonIfUnsupported) |
| { |
| return IsSupportedForDataTypeCl(reasonIfUnsupported, |
| input.GetDataType(), |
| &TrueFunc<>, |
| &TrueFunc<>); |
| } |
| |
| bool IsL2NormalizationSupportedCl(const TensorInfo& input, |
| const TensorInfo& output, |
| const L2NormalizationDescriptor& descriptor, |
| std::string* reasonIfUnsupported) |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClL2NormalizationWorkloadValidate, reasonIfUnsupported, input, output, descriptor); |
| } |
| |
| bool IsMergerSupportedCl(const std::vector<const TensorInfo*> inputs, |
| const OriginsDescriptor& descriptor, |
| std::string* reasonIfUnsupported) |
| { |
| ignore_unused(descriptor); |
| return IsSupportedForDataTypeCl(reasonIfUnsupported, |
| inputs[0]->GetDataType(), |
| &TrueFunc<>, |
| &FalseFuncU8<>); |
| } |
| |
| bool IsMultiplicationSupportedCl(const TensorInfo& input0, |
| const TensorInfo& input1, |
| const TensorInfo& output, |
| std::string* reasonIfUnsupported) |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClMultiplicationWorkloadValidate, |
| reasonIfUnsupported, |
| input0, |
| input1, |
| output); |
| } |
| |
| bool IsNormalizationSupportedCl(const TensorInfo& input, |
| const TensorInfo& output, |
| const NormalizationDescriptor& descriptor, |
| std::string* reasonIfUnsupported) |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClNormalizationWorkloadValidate, reasonIfUnsupported, input, output, descriptor); |
| } |
| |
| bool IsOutputSupportedCl(const TensorInfo& output, |
| std::string* reasonIfUnsupported) |
| { |
| return IsSupportedForDataTypeCl(reasonIfUnsupported, |
| output.GetDataType(), |
| &TrueFunc<>, |
| &TrueFunc<>); |
| } |
| |
| bool IsPadSupportedCl(const TensorInfo& input, |
| const TensorInfo& output, |
| const PadDescriptor& descriptor, |
| std::string* reasonIfUnsupported) |
| { |
| return FORWARD_CL_LAYER_SUPPORT_FUNC(ClPadValidate(input, output, descriptor, reasonIfUnsupported)); |
| } |
| |
| bool IsPermuteSupportedCl(const TensorInfo& input, |
| const TensorInfo& output, |
| const PermuteDescriptor& descriptor, |
| std::string* reasonIfUnsupported) |
| { |
| ignore_unused(input); |
| ignore_unused(output); |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClPermuteWorkloadValidate, reasonIfUnsupported, descriptor); |
| } |
| |
| bool IsPooling2dSupportedCl(const TensorInfo& input, |
| const TensorInfo& output, |
| const Pooling2dDescriptor& descriptor, |
| std::string* reasonIfUnsupported) |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClPooling2dWorkloadValidate, reasonIfUnsupported, input, output, descriptor); |
| } |
| |
| bool IsResizeBilinearSupportedCl(const TensorInfo& input, |
| std::string* reasonIfUnsupported) |
| { |
| return IsSupportedForDataTypeCl(reasonIfUnsupported, |
| input.GetDataType(), |
| &TrueFunc<>, |
| &FalseFuncU8<>); |
| } |
| |
| bool IsSoftmaxSupportedCl(const TensorInfo& input, |
| const TensorInfo& output, |
| const SoftmaxDescriptor& descriptor, |
| std::string* reasonIfUnsupported) |
| { |
| ignore_unused(descriptor); |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClSoftmaxWorkloadValidate, reasonIfUnsupported, input, output); |
| } |
| |
| bool IsSplitterSupportedCl(const TensorInfo& input, |
| const ViewsDescriptor& descriptor, |
| std::string* reasonIfUnsupported) |
| { |
| ignore_unused(descriptor); |
| return IsSupportedForDataTypeCl(reasonIfUnsupported, |
| input.GetDataType(), |
| &TrueFunc<>, |
| &TrueFunc<>); |
| } |
| |
| bool IsFakeQuantizationSupportedCl(const TensorInfo& input, |
| const FakeQuantizationDescriptor& descriptor, |
| std::string* reasonIfUnsupported) |
| { |
| ignore_unused(input); |
| ignore_unused(descriptor); |
| return false; |
| } |
| |
| bool IsReshapeSupportedCl(const TensorInfo& input, |
| std::string* reasonIfUnsupported) |
| { |
| ignore_unused(input); |
| return true; |
| } |
| |
| bool IsFloorSupportedCl(const TensorInfo& input, |
| const TensorInfo& output, |
| std::string* reasonIfUnsupported) |
| { |
| ignore_unused(output); |
| return IsClBackendSupported(reasonIfUnsupported) && |
| IsSupportedForDataTypeGeneric(reasonIfUnsupported, |
| input.GetDataType(), |
| &FalseFuncF16<>, |
| &TrueFunc<>, |
| &FalseFuncU8<>); |
| } |
| |
| bool IsLstmSupportedCl(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) |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClLstmFloatWorkloadValidate, reasonIfUnsupported, |
| input, outputStateIn, cellStateIn, scratchBuffer, outputStateOut, cellStateOut, |
| output, descriptor, inputToForgetWeights, inputToCellWeights, |
| inputToOutputWeights, recurrentToForgetWeights, |
| recurrentToCellWeights, recurrentToOutputWeights, |
| forgetGateBias, cellBias, outputGateBias, |
| inputToInputWeights, recurrentToInputWeights, |
| cellToInputWeights, inputGateBias, projectionWeights, |
| projectionBias, cellToForgetWeights, cellToOutputWeights); |
| } |
| |
| bool IsConvertFp16ToFp32SupportedCl(const TensorInfo& input, |
| const TensorInfo& output, |
| std::string* reasonIfUnsupported) |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClConvertFp16ToFp32WorkloadValidate, |
| reasonIfUnsupported, |
| input, |
| output, |
| reasonIfUnsupported); |
| } |
| |
| bool IsConvertFp32ToFp16SupportedCl(const TensorInfo& input, |
| const TensorInfo& output, |
| std::string* reasonIfUnsupported) |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClConvertFp32ToFp16WorkloadValidate, |
| reasonIfUnsupported, |
| input, |
| output, |
| reasonIfUnsupported); |
| } |
| |
| bool IsMeanSupportedCl(const TensorInfo& input, |
| const TensorInfo& output, |
| const MeanDescriptor& descriptor, |
| std::string* reasonIfUnsupported) |
| { |
| return false; |
| } |
| |
| } |