| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| #include <Layer.hpp> |
| #include <backendsCommon/CpuTensorHandle.hpp> |
| #include <backendsCommon/MemCopyWorkload.hpp> |
| #include <backendsCommon/MemImportWorkload.hpp> |
| #include <backendsCommon/MakeWorkloadHelper.hpp> |
| #include "RefWorkloadFactory.hpp" |
| #include "RefBackendId.hpp" |
| #include "workloads/RefWorkloads.hpp" |
| #include "RefTensorHandle.hpp" |
| |
| #include <boost/log/trivial.hpp> |
| |
| namespace armnn |
| { |
| |
| namespace |
| { |
| static const BackendId s_Id{RefBackendId()}; |
| } |
| template <typename F32Workload, typename U8Workload, typename QueueDescriptorType> |
| std::unique_ptr<IWorkload> RefWorkloadFactory::MakeWorkload(const QueueDescriptorType& descriptor, |
| const WorkloadInfo& info) const |
| { |
| return armnn::MakeWorkloadHelper<NullWorkload, F32Workload, U8Workload, NullWorkload, NullWorkload>(descriptor, |
| info); |
| } |
| |
| template <DataType ArmnnType> |
| bool IsDataType(const WorkloadInfo& info) |
| { |
| auto checkType = [](const TensorInfo& tensorInfo) {return tensorInfo.GetDataType() == ArmnnType;}; |
| auto it = std::find_if(std::begin(info.m_InputTensorInfos), std::end(info.m_InputTensorInfos), checkType); |
| if (it != std::end(info.m_InputTensorInfos)) |
| { |
| return true; |
| } |
| it = std::find_if(std::begin(info.m_OutputTensorInfos), std::end(info.m_OutputTensorInfos), checkType); |
| if (it != std::end(info.m_OutputTensorInfos)) |
| { |
| return true; |
| } |
| return false; |
| } |
| |
| bool IsFloat16(const WorkloadInfo& info) |
| { |
| return IsDataType<DataType::Float16>(info); |
| } |
| |
| bool IsQSymm16(const WorkloadInfo& info) |
| { |
| return IsDataType<DataType::QuantisedSymm16>(info); |
| } |
| |
| RefWorkloadFactory::RefWorkloadFactory(const std::shared_ptr<RefMemoryManager>& memoryManager) |
| : m_MemoryManager(memoryManager) |
| { |
| } |
| |
| RefWorkloadFactory::RefWorkloadFactory() |
| : m_MemoryManager(new RefMemoryManager()) |
| { |
| } |
| |
| const BackendId& RefWorkloadFactory::GetBackendId() const |
| { |
| return s_Id; |
| } |
| |
| bool RefWorkloadFactory::IsLayerSupported(const Layer& layer, |
| Optional<DataType> dataType, |
| std::string& outReasonIfUnsupported) |
| { |
| return IWorkloadFactory::IsLayerSupported(s_Id, layer, dataType, outReasonIfUnsupported); |
| } |
| |
| std::unique_ptr<ITensorHandle> RefWorkloadFactory::CreateTensorHandle(const TensorInfo& tensorInfo, |
| const bool IsMemoryManaged) const |
| { |
| // For Ref it is okay to make the TensorHandle memory managed as it can also store a pointer |
| // to unmanaged memory. This also ensures memory alignment. |
| return std::make_unique<RefTensorHandle>(tensorInfo, m_MemoryManager); |
| } |
| |
| std::unique_ptr<ITensorHandle> RefWorkloadFactory::CreateTensorHandle(const TensorInfo& tensorInfo, |
| DataLayout dataLayout, |
| const bool IsMemoryManaged) const |
| { |
| // For Ref it is okay to make the TensorHandle memory managed as it can also store a pointer |
| // to unmanaged memory. This also ensures memory alignment. |
| return std::make_unique<RefTensorHandle>(tensorInfo, m_MemoryManager); |
| } |
| |
| std::unique_ptr<IWorkload> RefWorkloadFactory::CreateInput(const InputQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| if (info.m_InputTensorInfos.empty() ) |
| { |
| throw InvalidArgumentException("RefWorkloadFactory::CreateInput: Input cannot be zero length"); |
| } |
| if (info.m_OutputTensorInfos.empty()) |
| { |
| throw InvalidArgumentException("RefWorkloadFactory::CreateInput: Output cannot be zero length"); |
| } |
| |
| if (info.m_InputTensorInfos[0].GetNumBytes() != info.m_OutputTensorInfos[0].GetNumBytes()) |
| { |
| throw InvalidArgumentException("RefWorkloadFactory::CreateInput: data input and output differ in byte count."); |
| } |
| |
| return std::make_unique<CopyMemGenericWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<IWorkload> RefWorkloadFactory::CreateOutput(const OutputQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| if (info.m_InputTensorInfos.empty() ) |
| { |
| throw InvalidArgumentException("RefWorkloadFactory::CreateOutput: Input cannot be zero length"); |
| } |
| if (info.m_OutputTensorInfos.empty()) |
| { |
| throw InvalidArgumentException("RefWorkloadFactory::CreateOutput: Output cannot be zero length"); |
| } |
| if (info.m_InputTensorInfos[0].GetNumBytes() != info.m_OutputTensorInfos[0].GetNumBytes()) |
| { |
| throw InvalidArgumentException("RefWorkloadFactory::CreateOutput: data input and output differ in byte count."); |
| } |
| |
| return std::make_unique<CopyMemGenericWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<IWorkload> RefWorkloadFactory::CreateActivation(const ActivationQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefActivationWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<IWorkload> RefWorkloadFactory::CreateArgMinMax(const ArgMinMaxQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefArgMinMaxWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<IWorkload> RefWorkloadFactory::CreateSoftmax(const SoftmaxQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefSoftmaxWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<IWorkload> RefWorkloadFactory::CreateSplitter(const SplitterQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefSplitterWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<armnn::IWorkload> RefWorkloadFactory::CreateMerger(const MergerQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| return CreateConcat(descriptor, info); |
| } |
| |
| std::unique_ptr<armnn::IWorkload> RefWorkloadFactory::CreateFullyConnected( |
| const FullyConnectedQueueDescriptor& descriptor, const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefFullyConnectedWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<armnn::IWorkload> RefWorkloadFactory::CreatePermute(const PermuteQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| if (IsQSymm16(info)) |
| { |
| return std::make_unique<RefPermuteQSymm16Workload>(descriptor, info); |
| } |
| return MakeWorkloadHelper<RefPermuteFloat16Workload, RefPermuteFloat32Workload, RefPermuteQAsymm8Workload, |
| NullWorkload, NullWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<armnn::IWorkload> RefWorkloadFactory::CreatePooling2d(const Pooling2dQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefPooling2dWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<armnn::IWorkload> RefWorkloadFactory::CreateConvolution2d( |
| const Convolution2dQueueDescriptor& descriptor, const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefConvolution2dWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<IWorkload> RefWorkloadFactory::CreateDepthToSpace(const DepthToSpaceQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefDepthToSpaceWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<armnn::IWorkload> RefWorkloadFactory::CreateDepthwiseConvolution2d( |
| const DepthwiseConvolution2dQueueDescriptor& descriptor, const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefDepthwiseConvolution2dWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<IWorkload> RefWorkloadFactory::CreateDetectionPostProcess( |
| const armnn::DetectionPostProcessQueueDescriptor& descriptor, const armnn::WorkloadInfo& info) const |
| { |
| return std::make_unique<RefDetectionPostProcessWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<armnn::IWorkload> RefWorkloadFactory::CreateNormalization( |
| const NormalizationQueueDescriptor& descriptor, const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefNormalizationWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<armnn::IWorkload> RefWorkloadFactory::CreateAddition(const AdditionQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefAdditionWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<armnn::IWorkload> RefWorkloadFactory::CreateMultiplication( |
| const MultiplicationQueueDescriptor& descriptor, const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefMultiplicationWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<armnn::IWorkload> RefWorkloadFactory::CreateBatchNormalization( |
| const BatchNormalizationQueueDescriptor& descriptor, const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefBatchNormalizationWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<armnn::IWorkload> RefWorkloadFactory::CreateMemCopy(const MemCopyQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| if (descriptor.m_Inputs.empty()) |
| { |
| throw InvalidArgumentException("RefWorkloadFactory: CreateMemCopy() expected an input tensor."); |
| } |
| return std::make_unique<CopyMemGenericWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<armnn::IWorkload> RefWorkloadFactory::CreateMemImport(const MemImportQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| if (descriptor.m_Inputs.empty()) |
| { |
| throw InvalidArgumentException("RefWorkloadFactory: CreateMemImport() expected an input tensor."); |
| } |
| return std::make_unique<ImportMemGenericWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<IWorkload> RefWorkloadFactory::CreateResize(const ResizeQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefResizeWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<IWorkload> RefWorkloadFactory::CreateResizeBilinear(const ResizeBilinearQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| ResizeQueueDescriptor resizeDescriptor; |
| resizeDescriptor.m_Parameters.m_Method = ResizeMethod::Bilinear; |
| resizeDescriptor.m_Parameters.m_DataLayout = descriptor.m_Parameters.m_DataLayout; |
| resizeDescriptor.m_Parameters.m_TargetWidth = descriptor.m_Parameters.m_TargetWidth; |
| resizeDescriptor.m_Parameters.m_TargetHeight = descriptor.m_Parameters.m_TargetHeight; |
| |
| return CreateResize(resizeDescriptor, info); |
| } |
| |
| std::unique_ptr<IWorkload> RefWorkloadFactory::CreateFakeQuantization( |
| const FakeQuantizationQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| return MakeWorkload<RefFakeQuantizationFloat32Workload, NullWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<IWorkload> RefWorkloadFactory::CreateL2Normalization(const L2NormalizationQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefL2NormalizationWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<armnn::IWorkload> RefWorkloadFactory::CreateConcat(const ConcatQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefConcatWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<IWorkload> RefWorkloadFactory::CreateConstant(const ConstantQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefConstantWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<IWorkload> RefWorkloadFactory::CreateReshape(const ReshapeQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefReshapeWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<IWorkload> RefWorkloadFactory::CreateSpaceToBatchNd(const SpaceToBatchNdQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefSpaceToBatchNdWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<IWorkload> RefWorkloadFactory::CreateSpaceToDepth(const armnn::SpaceToDepthQueueDescriptor& descriptor, |
| const armnn::WorkloadInfo& info) const |
| { |
| return std::make_unique<RefSpaceToDepthWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<IWorkload> RefWorkloadFactory::CreateFloor(const FloorQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefFloorWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<IWorkload> RefWorkloadFactory::CreateLstm(const LstmQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefLstmWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<IWorkload> RefWorkloadFactory::CreateConvertFp16ToFp32( |
| const ConvertFp16ToFp32QueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefConvertFp16ToFp32Workload>(descriptor, info); |
| } |
| |
| std::unique_ptr<IWorkload> RefWorkloadFactory::CreateConvertFp32ToFp16( |
| const ConvertFp32ToFp16QueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefConvertFp32ToFp16Workload>(descriptor, info); |
| } |
| |
| std::unique_ptr<armnn::IWorkload> RefWorkloadFactory::CreateDivision( |
| const DivisionQueueDescriptor& descriptor, const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefDivisionWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<armnn::IWorkload> RefWorkloadFactory::CreateSubtraction( |
| const SubtractionQueueDescriptor& descriptor, const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefSubtractionWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<armnn::IWorkload> RefWorkloadFactory::CreateMaximum( |
| const MaximumQueueDescriptor& descriptor, const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefMaximumWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<armnn::IWorkload> RefWorkloadFactory::CreateMean( |
| const MeanQueueDescriptor& descriptor, const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefMeanWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<armnn::IWorkload> RefWorkloadFactory::CreateMinimum( |
| const MinimumQueueDescriptor& descriptor, const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefMinimumWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<IWorkload> RefWorkloadFactory::CreatePad(const PadQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| if (IsQSymm16(info)) |
| { |
| return std::make_unique<RefPadQSymm16Workload>(descriptor, info); |
| } |
| else if (IsFloat16(info)) |
| { |
| return std::make_unique<RefPadFloat16Workload>(descriptor, info); |
| } |
| return MakeWorkload<RefPadFloat32Workload, RefPadQAsymm8Workload>(descriptor, info); |
| } |
| |
| std::unique_ptr<IWorkload> RefWorkloadFactory::CreateEqual(const EqualQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefEqualWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<IWorkload> RefWorkloadFactory::CreateBatchToSpaceNd(const BatchToSpaceNdQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefBatchToSpaceNdWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<IWorkload> RefWorkloadFactory::CreateStridedSlice(const StridedSliceQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefStridedSliceWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<IWorkload> RefWorkloadFactory::CreateGreater(const GreaterQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefGreaterWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<IWorkload> RefWorkloadFactory::CreateDebug(const DebugQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| if (IsQSymm16(info)) |
| { |
| return std::make_unique<RefDebugQSymm16Workload>(descriptor, info); |
| } |
| return MakeWorkload<RefDebugFloat32Workload, RefDebugQAsymm8Workload>(descriptor, info); |
| } |
| |
| std::unique_ptr<IWorkload> RefWorkloadFactory::CreateRsqrt(const RsqrtQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefRsqrtWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<IWorkload> RefWorkloadFactory::CreateGather(const armnn::GatherQueueDescriptor& descriptor, |
| const armnn::WorkloadInfo& info) const |
| { |
| return std::make_unique<RefGatherWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<IWorkload> RefWorkloadFactory::CreatePreCompiled(const PreCompiledQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| return nullptr; |
| } |
| |
| std::unique_ptr<IWorkload> RefWorkloadFactory::CreateQuantize(const QuantizeQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefQuantizeWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<IWorkload> RefWorkloadFactory::CreateDequantize(const DequantizeQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefDequantizeWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<IWorkload> RefWorkloadFactory::CreatePrelu(const PreluQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefPreluWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<IWorkload> RefWorkloadFactory::CreateTransposeConvolution2d( |
| const TransposeConvolution2dQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefTransposeConvolution2dWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<IWorkload> RefWorkloadFactory::CreateStack(const StackQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefStackWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<IWorkload> RefWorkloadFactory::CreateAbs(const AbsQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefAbsWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<IWorkload> RefWorkloadFactory::CreateSlice(const SliceQueueDescriptor& descriptor, |
| const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefSliceWorkload>(descriptor, info); |
| } |
| |
| std::unique_ptr<armnn::IWorkload> RefWorkloadFactory::CreateInstanceNormalization( |
| const InstanceNormalizationQueueDescriptor& descriptor, const WorkloadInfo& info) const |
| { |
| return std::make_unique<RefInstanceNormalizationWorkload>(descriptor, info); |
| } |
| |
| } // namespace armnn |
