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Diffstat (limited to 'src/backends/reference/RefWorkloadFactory.cpp')
| -rw-r--r-- | src/backends/reference/RefWorkloadFactory.cpp | 255 |
1 files changed, 255 insertions, 0 deletions
diff --git a/src/backends/reference/RefWorkloadFactory.cpp b/src/backends/reference/RefWorkloadFactory.cpp new file mode 100644 index 0000000000..5cefd1b6e1 --- /dev/null +++ b/src/backends/reference/RefWorkloadFactory.cpp @@ -0,0 +1,255 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// +#include <backends/CpuTensorHandle.hpp> +#include <backends/MemCopyWorkload.hpp> +#include <backends/MakeWorkloadHelper.hpp> +#include "RefWorkloadFactory.hpp" +#include "workloads/RefWorkloads.hpp" +#include "Layer.hpp" + +#include <boost/log/trivial.hpp> + +namespace armnn +{ + +template <typename F32Workload, typename U8Workload, typename QueueDescriptorType> +std::unique_ptr<IWorkload> RefWorkloadFactory::MakeWorkload(const QueueDescriptorType& descriptor, + const WorkloadInfo& info) const +{ + return armnn::MakeWorkload<NullWorkload, F32Workload, U8Workload>(descriptor, info); +} + +RefWorkloadFactory::RefWorkloadFactory() +{ +} + +bool RefWorkloadFactory::IsLayerSupported(const Layer& layer, boost::optional<DataType> dataType, + std::string& outReasonIfUnsupported) +{ + return IWorkloadFactory::IsLayerSupported(Compute::CpuRef, layer, dataType, outReasonIfUnsupported); +} + +std::unique_ptr<ITensorHandle> RefWorkloadFactory::CreateTensorHandle(const TensorInfo& tensorInfo) const +{ + return std::make_unique<ScopedCpuTensorHandle>(tensorInfo); +} + +std::unique_ptr<ITensorHandle> RefWorkloadFactory::CreateTensorHandle(const TensorInfo& tensorInfo, + DataLayout dataLayout) const +{ + return std::make_unique<ScopedCpuTensorHandle>(tensorInfo); +} + +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 MakeWorkload<CopyMemGenericWorkload, 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 MakeWorkload<CopyMemGenericWorkload, CopyMemGenericWorkload>(descriptor, info); +} + +std::unique_ptr<IWorkload> RefWorkloadFactory::CreateActivation(const ActivationQueueDescriptor& descriptor, + const WorkloadInfo& info) const +{ + return MakeWorkload<RefActivationFloat32Workload, RefActivationUint8Workload>(descriptor, info); +} + +std::unique_ptr<IWorkload> RefWorkloadFactory::CreateSoftmax(const SoftmaxQueueDescriptor& descriptor, + const WorkloadInfo& info) const +{ + return MakeWorkload<RefSoftmaxFloat32Workload, RefSoftmaxUint8Workload>(descriptor, info); +} + +std::unique_ptr<IWorkload> RefWorkloadFactory::CreateSplitter(const SplitterQueueDescriptor& descriptor, + const WorkloadInfo& info) const +{ + return MakeWorkload<RefSplitterFloat32Workload, RefSplitterUint8Workload>(descriptor, info); +} + +std::unique_ptr<armnn::IWorkload> RefWorkloadFactory::CreateMerger(const MergerQueueDescriptor& descriptor, + const WorkloadInfo& info) const +{ + return MakeWorkload<RefMergerFloat32Workload, RefMergerUint8Workload>(descriptor, info); +} + +std::unique_ptr<armnn::IWorkload> RefWorkloadFactory::CreateFullyConnected( + const FullyConnectedQueueDescriptor& descriptor, const WorkloadInfo& info) const +{ + return MakeWorkload<RefFullyConnectedFloat32Workload, RefFullyConnectedUint8Workload>(descriptor, info); +} + +std::unique_ptr<armnn::IWorkload> RefWorkloadFactory::CreatePermute(const PermuteQueueDescriptor& descriptor, + const WorkloadInfo& info) const +{ + return MakeWorkload<RefPermuteFloat32Workload, RefPermuteUint8Workload>(descriptor, info); +} + +std::unique_ptr<armnn::IWorkload> RefWorkloadFactory::CreatePooling2d(const Pooling2dQueueDescriptor& descriptor, + const WorkloadInfo& info) const +{ + return MakeWorkload<RefPooling2dFloat32Workload, RefPooling2dUint8Workload>(descriptor, info); +} + +std::unique_ptr<armnn::IWorkload> RefWorkloadFactory::CreateConvolution2d( + const Convolution2dQueueDescriptor& descriptor, const WorkloadInfo& info) const +{ + return MakeWorkload<RefConvolution2dFloat32Workload, RefConvolution2dUint8Workload>(descriptor, info); +} + +std::unique_ptr<IWorkload> RefWorkloadFactory::CreateDepthwiseConvolution2d( + const DepthwiseConvolution2dQueueDescriptor& descriptor, const WorkloadInfo& info) const +{ + return MakeWorkload<RefDepthwiseConvolution2dFloat32Workload, + RefDepthwiseConvolution2dUint8Workload>(descriptor, info); +} + +std::unique_ptr<armnn::IWorkload> RefWorkloadFactory::CreateNormalization( + const NormalizationQueueDescriptor& descriptor, const WorkloadInfo& info) const +{ + return MakeWorkload<RefNormalizationFloat32Workload, NullWorkload>(descriptor, info); +} + +std::unique_ptr<armnn::IWorkload> RefWorkloadFactory::CreateAddition(const AdditionQueueDescriptor& descriptor, + const WorkloadInfo& info) const +{ + return MakeWorkload<RefAdditionFloat32Workload, RefAdditionUint8Workload>(descriptor, info); +} + +std::unique_ptr<armnn::IWorkload> RefWorkloadFactory::CreateMultiplication( + const MultiplicationQueueDescriptor& descriptor, const WorkloadInfo& info) const +{ + return MakeWorkload<RefMultiplicationFloat32Workload, RefMultiplicationUint8Workload>(descriptor, info); +} + +std::unique_ptr<armnn::IWorkload> RefWorkloadFactory::CreateBatchNormalization( + const BatchNormalizationQueueDescriptor& descriptor, const WorkloadInfo& info) const +{ + return MakeWorkload<RefBatchNormalizationFloat32Workload, RefBatchNormalizationUint8Workload>(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<IWorkload> RefWorkloadFactory::CreateResizeBilinear(const ResizeBilinearQueueDescriptor& descriptor, + const WorkloadInfo& info) const +{ + return MakeWorkload<RefResizeBilinearFloat32Workload, RefResizeBilinearUint8Workload>(descriptor, 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 MakeWorkload<RefL2NormalizationFloat32Workload, NullWorkload>(descriptor, info); +} + +std::unique_ptr<IWorkload> RefWorkloadFactory::CreateConstant(const ConstantQueueDescriptor& descriptor, + const WorkloadInfo& info) const +{ + return MakeWorkload<RefConstantFloat32Workload, RefConstantUint8Workload>(descriptor, info); +} + +std::unique_ptr<IWorkload> RefWorkloadFactory::CreateReshape(const ReshapeQueueDescriptor& descriptor, + const WorkloadInfo& info) const +{ + return MakeWorkload<RefReshapeFloat32Workload, RefReshapeUint8Workload>(descriptor, info); +} + +std::unique_ptr<IWorkload> RefWorkloadFactory::CreateFloor(const FloorQueueDescriptor& descriptor, + const WorkloadInfo& info) const +{ + return MakeWorkload<RefFloorFloat32Workload, NullWorkload>(descriptor, info); +} + +std::unique_ptr<IWorkload> RefWorkloadFactory::CreateLstm(const LstmQueueDescriptor& descriptor, + const WorkloadInfo& info) const +{ + return MakeWorkload<RefLstmFloat32Workload, NullWorkload>(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 MakeWorkload<RefDivisionFloat32Workload, RefDivisionUint8Workload>(descriptor, info); +} + +std::unique_ptr<armnn::IWorkload> RefWorkloadFactory::CreateSubtraction( + const SubtractionQueueDescriptor& descriptor, const WorkloadInfo& info) const +{ + return MakeWorkload<RefSubtractionFloat32Workload, RefSubtractionUint8Workload>(descriptor, info); +} + +std::unique_ptr<armnn::IWorkload> RefWorkloadFactory::CreateMean( + const MeanQueueDescriptor& descriptor, const WorkloadInfo& info) const +{ + return MakeWorkload<NullWorkload, NullWorkload>(descriptor, info); +} + +std::unique_ptr<IWorkload> RefWorkloadFactory::CreatePad(const PadQueueDescriptor& descriptor, + const WorkloadInfo& info) const +{ + return MakeWorkload<NullWorkload, NullWorkload>(descriptor, info); +} + + +} // namespace armnn |