| // |
| // Copyright © 2021-2023 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "RefConvolution3dWorkload.hpp" |
| |
| #include "Conv3dImpl.hpp" |
| #include "RefWorkloadUtils.hpp" |
| |
| #include "Profiling.hpp" |
| |
| namespace armnn |
| { |
| RefConvolution3dWorkload::RefConvolution3dWorkload( |
| const Convolution3dQueueDescriptor& descriptor, const WorkloadInfo& info) |
| : RefBaseWorkload<Convolution3dQueueDescriptor>(descriptor, info) |
| { |
| WorkloadInfo detailsInfo; |
| detailsInfo.m_InputTensorInfos = info.m_InputTensorInfos; |
| detailsInfo.m_OutputTensorInfos = info.m_OutputTensorInfos; |
| detailsInfo.m_WeightsTensorInfo = armnn::Optional<armnn::TensorInfo>(info.m_InputTensorInfos[1]); |
| if (descriptor.m_Parameters.m_BiasEnabled) |
| { |
| detailsInfo.m_BiasTensorInfo = armnn::Optional<armnn::TensorInfo>(info.m_InputTensorInfos[2]); |
| } |
| |
| // Report Profiling Details |
| ARMNN_REPORT_PROFILING_WORKLOAD_DESC("RefConvolution3dWorkload_Construct", |
| descriptor.m_Parameters, |
| detailsInfo, |
| this->GetGuid()); |
| } |
| |
| void RefConvolution3dWorkload::Execute() const |
| { |
| Execute(m_Data.m_Inputs, m_Data.m_Outputs); |
| } |
| |
| void RefConvolution3dWorkload::ExecuteAsync(ExecutionData& executionData) |
| { |
| WorkingMemDescriptor* workingMemDescriptor = static_cast<WorkingMemDescriptor*>(executionData.m_Data); |
| Execute(workingMemDescriptor->m_Inputs, workingMemDescriptor->m_Outputs); |
| } |
| |
| void RefConvolution3dWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID("RefConvolution3dWorkload_Execute"); |
| |
| 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(); |
| |
| const auto& filterInfo = GetTensorInfo(inputs[1]); |
| std::unique_ptr<Decoder<float>> filterDecoder = MakeDecoder<float>(GetTensorInfo(inputs[1]), inputs[1]->Map()); |
| std::unique_ptr<Decoder<float>> biasDecoder; |
| |
| if (m_Data.m_Parameters.m_BiasEnabled) |
| { |
| biasDecoder = MakeDecoder<float>(GetTensorInfo(inputs[2]), inputs[2]->Map()); |
| } |
| |
| Convolve3d(inputShape, *inputDecoder, outputShape, *outputEncoder, filterInfo.GetShape(), |
| *filterDecoder, m_Data.m_Parameters.m_BiasEnabled, 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_PadFront, |
| m_Data.m_Parameters.m_StrideX, m_Data.m_Parameters.m_StrideY, m_Data.m_Parameters.m_StrideZ, |
| m_Data.m_Parameters.m_DilationX, m_Data.m_Parameters.m_DilationY, m_Data.m_Parameters.m_DilationZ); |
| } |
| |
| } //namespace armnn |