| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "RefTransposeConvolution2dWorkload.hpp" |
| |
| #include "RefWorkloadUtils.hpp" |
| #include "TransposeConvolution2d.hpp" |
| |
| #include <Profiling.hpp> |
| |
| namespace armnn |
| { |
| |
| RefTransposeConvolution2dWorkload::RefTransposeConvolution2dWorkload( |
| const TransposeConvolution2dQueueDescriptor& descriptor, const WorkloadInfo& info) : |
| BaseWorkload<TransposeConvolution2dQueueDescriptor>(descriptor, info) |
| { |
| // set up weights decoder |
| m_Weights = std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Weight)); |
| const TensorInfo& weightsInfo = m_Weights->GetTensorInfo(); |
| |
| m_WeightsDecoder = MakeDecoder<float>(weightsInfo, m_Weights->Map(true)); |
| m_WeightsShape = weightsInfo.GetShape(); |
| |
| // set up biases decoder |
| if (descriptor.m_Parameters.m_BiasEnabled) |
| { |
| m_Biases = std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Bias)); |
| const TensorInfo& biasesInfo = m_Biases->GetTensorInfo(); |
| m_BiasesDecoder = MakeDecoder<float>(biasesInfo, m_Biases->Map(true)); |
| } |
| } |
| |
| void RefTransposeConvolution2dWorkload::PostAllocationConfigure() |
| { |
| // set up input decoder |
| const ITensorHandle* input = m_Data.m_Inputs[0]; |
| const TensorInfo& inputInfo = GetTensorInfo(input); |
| |
| m_InputShape = inputInfo.GetShape(); |
| m_InputDecoder = MakeDecoder<float>(inputInfo); |
| |
| // set up output encoder |
| ITensorHandle* output = m_Data.m_Outputs[0]; |
| const TensorInfo& outputInfo = GetTensorInfo(output); |
| |
| m_OutputShape = outputInfo.GetShape(); |
| m_OutputEncoder = MakeEncoder<float>(outputInfo); |
| } |
| |
| void RefTransposeConvolution2dWorkload::Execute() const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefTransposeConvolution2dWorkload_Execute"); |
| |
| m_InputDecoder->Reset(m_Data.m_Inputs[0]->Map()); |
| m_OutputEncoder->Reset(m_Data.m_Outputs[0]->Map()); |
| |
| TransposeConvolution2dImpl(m_Data.m_Parameters, |
| m_InputShape, |
| *m_InputDecoder, |
| m_OutputShape, |
| *m_OutputEncoder, |
| m_WeightsShape, |
| *m_WeightsDecoder, |
| m_BiasesDecoder.get()); |
| } |
| |
| } // namespace armnn |