| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "RefDepthwiseConvolution2dWorkload.hpp" |
| |
| #include "ConvImpl.hpp" |
| #include "RefWorkloadUtils.hpp" |
| #include "Decoders.hpp" |
| #include "Encoders.hpp" |
| #include "Profiling.hpp" |
| #include <ResolveType.hpp> |
| |
| namespace armnn |
| { |
| |
| RefDepthwiseConvolution2dWorkload::RefDepthwiseConvolution2dWorkload( |
| const DepthwiseConvolution2dQueueDescriptor& descriptor, const WorkloadInfo& info) |
| : BaseWorkload<DepthwiseConvolution2dQueueDescriptor>(descriptor, info) |
| { |
| m_Weight = std::make_unique<ScopedTensorHandle>(*(descriptor.m_Weight)); |
| const TensorInfo& rFilterInfo = m_Weight->GetTensorInfo(); |
| m_FilterShape = rFilterInfo.GetShape(); |
| m_FilterDecoder = MakeDecoder<float>(rFilterInfo, m_Weight->Map(true)); |
| |
| if (descriptor.m_Parameters.m_BiasEnabled) |
| { |
| m_Bias = std::make_unique<ScopedTensorHandle>(*(descriptor.m_Bias)); |
| const TensorInfo& biasInfo = m_Bias->GetTensorInfo(); |
| m_BiasDecoder = MakeDecoder<float>(biasInfo, m_Bias->Map(true)); |
| } |
| } |
| |
| void RefDepthwiseConvolution2dWorkload::Execute() const |
| { |
| Execute(m_Data.m_Inputs, m_Data.m_Outputs); |
| } |
| |
| void RefDepthwiseConvolution2dWorkload::ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor) |
| { |
| Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs); |
| } |
| |
| void RefDepthwiseConvolution2dWorkload::Execute(std::vector<ITensorHandle*> inputs, |
| std::vector<ITensorHandle*> outputs) const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefDepthwiseConvolution2dWorkload_Execute"); |
| std::unique_ptr<Decoder<float>> pBiasDecoder{}; |
| |
| std::unique_ptr<Decoder<float>> inputDecoder = MakeDecoder<float>(GetTensorInfo(inputs[0]), inputs[0]->Map()); |
| std::unique_ptr<Encoder<float>> OutputEncoder = MakeEncoder<float>(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, true); |
| } |
| |
| } //namespace armnn |