blob: 5ce997c363e959f41ab81d9041efb366d7e4893b [file] [log] [blame]
//
// 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"
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 MakeWorkloadHelper<NullWorkload, F32Workload, U8Workload, NullWorkload, 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 IsSigned32(const WorkloadInfo& info)
{
return IsDataType<DataType::Signed32>(info);
}
bool IsBFloat16(const WorkloadInfo& info)
{
return IsDataType<DataType::BFloat16>(info);
}
bool IsFloat16(const WorkloadInfo& info)
{
return IsDataType<DataType::Float16>(info);
}
bool IsQSymmS16(const WorkloadInfo& info)
{
return IsDataType<DataType::QSymmS16>(info);
}
bool IsQSymmS8(const WorkloadInfo& info)
{
return IsDataType<DataType::QSymmS8>(info);
}
bool IsQAsymmS8(const WorkloadInfo& info)
{
return IsDataType<DataType::QAsymmS8>(info);
}
bool IsQAsymmU8(const WorkloadInfo& info)
{
return IsDataType<DataType::QAsymmU8>(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.
IgnoreUnused(isMemoryManaged);
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.
IgnoreUnused(isMemoryManaged, dataLayout);
return std::make_unique<RefTensorHandle>(tensorInfo, m_MemoryManager);
}
std::unique_ptr<IWorkload> RefWorkloadFactory::CreateAbs(const AbsQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
IgnoreUnused(descriptor);
ElementwiseUnaryQueueDescriptor elementwiseUnaryDescriptor;
elementwiseUnaryDescriptor.m_Parameters.m_Operation = UnaryOperation::Abs;
return CreateElementwiseUnary(elementwiseUnaryDescriptor, 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::CreateAddition(const AdditionQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
return std::make_unique<RefAdditionWorkload>(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::CreateBatchNormalization(
const BatchNormalizationQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
return std::make_unique<RefBatchNormalizationWorkload>(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::CreateComparison(const ComparisonQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
return std::make_unique<RefComparisonWorkload>(descriptor, info);
}
std::unique_ptr<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::CreateConvertBf16ToFp32(
const ConvertBf16ToFp32QueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
return std::make_unique<RefConvertBf16ToFp32Workload>(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::CreateConvertFp32ToBf16(
const ConvertFp32ToBf16QueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
return std::make_unique<RefConvertFp32ToBf16Workload>(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<IWorkload> RefWorkloadFactory::CreateConvolution2d(const Convolution2dQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
return std::make_unique<RefConvolution2dWorkload>(descriptor, info);
}
std::unique_ptr<IWorkload> RefWorkloadFactory::CreateDebug(const DebugQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
if (IsBFloat16(info))
{
return std::make_unique<RefDebugBFloat16Workload>(descriptor, info);
}
if (IsFloat16(info))
{
return std::make_unique<RefDebugFloat16Workload>(descriptor, info);
}
if (IsQSymmS16(info))
{
return std::make_unique<RefDebugQSymmS16Workload>(descriptor, info);
}
if (IsQSymmS8(info))
{
return std::make_unique<RefDebugQSymmS8Workload>(descriptor, info);
}
if (IsQAsymmU8(info))
{
return std::make_unique<RefDebugQAsymmU8Workload>(descriptor, info);
}
if (IsQAsymmS8(info))
{
return std::make_unique<RefDebugQAsymmS8Workload>(descriptor, info);
}
if (IsSigned32(info))
{
return std::make_unique<RefDebugSigned32Workload>(descriptor, info);
}
return MakeWorkload<RefDebugFloat32Workload, RefDebugQAsymmU8Workload>(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<IWorkload> RefWorkloadFactory::CreateDepthwiseConvolution2d(
const DepthwiseConvolution2dQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
return std::make_unique<RefDepthwiseConvolution2dWorkload>(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::CreateDetectionPostProcess(
const DetectionPostProcessQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
return std::make_unique<RefDetectionPostProcessWorkload>(descriptor, info);
}
std::unique_ptr<IWorkload> RefWorkloadFactory::CreateDivision(const DivisionQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
return std::make_unique<RefDivisionWorkload>(descriptor, info);
}
std::unique_ptr<IWorkload> RefWorkloadFactory::CreateElementwiseUnary(const ElementwiseUnaryQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
return std::make_unique<RefElementwiseUnaryWorkload>(descriptor, info);
}
std::unique_ptr<IWorkload> RefWorkloadFactory::CreateEqual(const EqualQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
IgnoreUnused(descriptor);
ComparisonQueueDescriptor comparisonDescriptor;
comparisonDescriptor.m_Parameters.m_Operation = ComparisonOperation::Equal;
return CreateComparison(comparisonDescriptor, 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::CreateFloor(const FloorQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
return std::make_unique<RefFloorWorkload>(descriptor, info);
}
std::unique_ptr<IWorkload> RefWorkloadFactory::CreateFullyConnected(
const FullyConnectedQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
return std::make_unique<RefFullyConnectedWorkload>(descriptor, info);
}
std::unique_ptr<IWorkload> RefWorkloadFactory::CreateGather(const GatherQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
return std::make_unique<RefGatherWorkload>(descriptor, info);
}
std::unique_ptr<IWorkload> RefWorkloadFactory::CreateGreater(const GreaterQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
IgnoreUnused(descriptor);
ComparisonQueueDescriptor comparisonDescriptor;
comparisonDescriptor.m_Parameters.m_Operation = ComparisonOperation::Greater;
return CreateComparison(comparisonDescriptor, info);
}
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::CreateInstanceNormalization(
const InstanceNormalizationQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
return std::make_unique<RefInstanceNormalizationWorkload>(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<IWorkload> RefWorkloadFactory::CreateLogSoftmax(const LogSoftmaxQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
return std::make_unique<RefLogSoftmaxWorkload>(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::CreateMaximum(const MaximumQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
return std::make_unique<RefMaximumWorkload>(descriptor, info);
}
std::unique_ptr<IWorkload> RefWorkloadFactory::CreateMean(const MeanQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
return std::make_unique<RefMeanWorkload>(descriptor, info);
}
std::unique_ptr<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::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::CreateMerger(const MergerQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
return CreateConcat(descriptor, info);
}
std::unique_ptr<IWorkload> RefWorkloadFactory::CreateMinimum(const MinimumQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
return std::make_unique<RefMinimumWorkload>(descriptor, info);
}
std::unique_ptr<IWorkload> RefWorkloadFactory::CreateMultiplication(const MultiplicationQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
return std::make_unique<RefMultiplicationWorkload>(descriptor, info);
}
std::unique_ptr<IWorkload> RefWorkloadFactory::CreateNormalization(const NormalizationQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
return std::make_unique<RefNormalizationWorkload>(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::CreatePad(const PadQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
if (IsQSymmS16(info))
{
return std::make_unique<RefPadQSymm16Workload>(descriptor, info);
}
else if (IsFloat16(info))
{
return std::make_unique<RefPadFloat16Workload>(descriptor, info);
}
else if (IsBFloat16(info))
{
return std::make_unique<RefPadBFloat16Workload>(descriptor, info);
}
else if (IsQAsymmS8(info))
{
return std::make_unique<RefPadQAsymmS8Workload>(descriptor, info);
}
return MakeWorkload<RefPadFloat32Workload, RefPadQAsymm8Workload>(descriptor, info);
}
std::unique_ptr<IWorkload> RefWorkloadFactory::CreatePermute(const PermuteQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
if (IsQSymmS16(info))
{
return std::make_unique<RefPermuteQSymm16Workload>(descriptor, info);
}
else if (IsBFloat16(info))
{
return std::make_unique<RefPermuteBFloat16Workload>(descriptor, info);
}
else if (IsQAsymmS8(info))
{
return std::make_unique<RefPermuteQAsymmS8Workload>(descriptor, info);
}
return MakeWorkloadHelper<RefPermuteFloat16Workload, RefPermuteFloat32Workload, RefPermuteQAsymm8Workload,
NullWorkload, NullWorkload, NullWorkload>(descriptor, info);
}
std::unique_ptr<IWorkload> RefWorkloadFactory::CreatePooling2d(const Pooling2dQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
return std::make_unique<RefPooling2dWorkload>(descriptor, info);
}
std::unique_ptr<IWorkload> RefWorkloadFactory::CreatePreCompiled(const PreCompiledQueueDescriptor& /*descriptor*/,
const WorkloadInfo& /*info*/) const
{
return nullptr;
}
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::CreateQLstm(const QLstmQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
return std::make_unique<RefQLstmWorkload>(descriptor, info);
}
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::CreateReshape(const ReshapeQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
return std::make_unique<RefReshapeWorkload>(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::CreateRsqrt(const RsqrtQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
IgnoreUnused(descriptor);
ElementwiseUnaryQueueDescriptor elementwiseUnaryDescriptor;
elementwiseUnaryDescriptor.m_Parameters.m_Operation = UnaryOperation::Rsqrt;
return CreateElementwiseUnary(elementwiseUnaryDescriptor, info);
}
std::unique_ptr<IWorkload> RefWorkloadFactory::CreateSlice(const SliceQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
return std::make_unique<RefSliceWorkload>(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::CreateSpaceToBatchNd(const SpaceToBatchNdQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
return std::make_unique<RefSpaceToBatchNdWorkload>(descriptor, info);
}
std::unique_ptr<IWorkload> RefWorkloadFactory::CreateSpaceToDepth(const SpaceToDepthQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
return std::make_unique<RefSpaceToDepthWorkload>(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<IWorkload> RefWorkloadFactory::CreateStack(const StackQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
return std::make_unique<RefStackWorkload>(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::CreateSubtraction(const SubtractionQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
return std::make_unique<RefSubtractionWorkload>(descriptor, info);
}
std::unique_ptr<IWorkload> RefWorkloadFactory::CreateTranspose(const TransposeQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
if (IsQSymmS16(info))
{
return std::make_unique<RefTransposeQSymm16Workload>(descriptor, info);
}
else if (IsBFloat16(info))
{
return std::make_unique<RefTransposeBFloat16Workload>(descriptor, info);
}
else if (IsQAsymmS8(info))
{
return std::make_unique<RefTransposeQAsymmS8Workload>(descriptor, info);
}
return MakeWorkloadHelper<RefTransposeFloat16Workload, RefTransposeFloat32Workload, RefTransposeQAsymm8Workload,
NullWorkload, NullWorkload, NullWorkload>(descriptor, info);
}
std::unique_ptr<IWorkload> RefWorkloadFactory::CreateTransposeConvolution2d(
const TransposeConvolution2dQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
return std::make_unique<RefTransposeConvolution2dWorkload>(descriptor, info);
}
} // namespace armnn