// // Copyright © 2017 Arm Ltd. All rights reserved. // SPDX-License-Identifier: MIT // #include "RefConvolution2dWorkload.hpp" #include "ConvImpl.hpp" #include "RefWorkloadUtils.hpp" #include "Profiling.hpp" namespace armnn { RefConvolution2dWorkload::RefConvolution2dWorkload( const Convolution2dQueueDescriptor& descriptor, const WorkloadInfo& info) : BaseWorkload(descriptor, info) { m_Weight = std::make_unique(*(descriptor.m_Weight)); const TensorInfo& rFilterInfo = m_Weight->GetTensorInfo(); m_FilterShape = rFilterInfo.GetShape(); m_FilterDecoder = MakeDecoder(rFilterInfo, m_Weight.get()->Map(true)); if (descriptor.m_Parameters.m_BiasEnabled) { m_Bias = std::make_unique(*(descriptor.m_Bias)); const TensorInfo& biasInfo = m_Bias->GetTensorInfo(); m_BiasDecoder = MakeDecoder(biasInfo, m_Bias->Map(true)); } } void RefConvolution2dWorkload::Execute() const { Execute(m_Data.m_Inputs, m_Data.m_Outputs); } void RefConvolution2dWorkload::ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor) { Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs); } void RefConvolution2dWorkload::Execute(std::vector inputs, std::vector outputs) const { ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefConvolution2dWorkload_Execute"); std::unique_ptr> inputDecoder = MakeDecoder(GetTensorInfo(inputs[0]), inputs[0]->Map()); std::unique_ptr> outputEncoder = MakeEncoder(GetTensorInfo(outputs[0]), outputs[0]->Map()); const TensorShape& inputShape = GetTensorInfo(inputs[0]).GetShape(); const TensorShape& outputShape = GetTensorInfo(outputs[0]).GetShape(); Convolve(inputShape, *inputDecoder, outputShape, *outputEncoder, m_FilterShape, *m_FilterDecoder, m_Data.m_Parameters.m_BiasEnabled, m_BiasDecoder.get(), m_Data.m_Parameters.m_DataLayout, m_Data.m_Parameters.m_PadTop, m_Data.m_Parameters.m_PadLeft, m_Data.m_Parameters.m_StrideX, m_Data.m_Parameters.m_StrideY, m_Data.m_Parameters.m_DilationX, m_Data.m_Parameters.m_DilationY); } } //namespace armnn