diff options
Diffstat (limited to 'src/backends/reference/workloads/RefConvolution3dWorkload.cpp')
-rw-r--r-- | src/backends/reference/workloads/RefConvolution3dWorkload.cpp | 76 |
1 files changed, 76 insertions, 0 deletions
diff --git a/src/backends/reference/workloads/RefConvolution3dWorkload.cpp b/src/backends/reference/workloads/RefConvolution3dWorkload.cpp new file mode 100644 index 0000000000..ea425daec9 --- /dev/null +++ b/src/backends/reference/workloads/RefConvolution3dWorkload.cpp @@ -0,0 +1,76 @@ +// +// Copyright © 2021 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) + : BaseWorkload<Convolution3dQueueDescriptor>(descriptor, info) +{ + WorkloadInfo detailsInfo; + detailsInfo.m_InputTensorInfos = info.m_InputTensorInfos; + detailsInfo.m_OutputTensorInfos = info.m_OutputTensorInfos; + detailsInfo.m_WeightsTensorInfo = armnn::Optional<armnn::TensorInfo>(descriptor.m_Weight->GetTensorInfo()); + if (descriptor.m_Parameters.m_BiasEnabled) + { + detailsInfo.m_BiasTensorInfo = armnn::Optional<armnn::TensorInfo>(descriptor.m_Bias->GetTensorInfo()); + } + + // Report Profiling Details + ARMNN_REPORT_PROFILING_WORKLOAD_DESC("RefConvolution3dWorkload_Construct", + descriptor.m_Parameters, + detailsInfo, + this->GetGuid()); + + 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.get()->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 RefConvolution3dWorkload::Execute() const +{ + Execute(m_Data.m_Inputs, m_Data.m_Outputs); +} + +void RefConvolution3dWorkload::ExecuteAsync(WorkingMemDescriptor& workingMemDescriptor) +{ + Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs); +} + +void RefConvolution3dWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const +{ + ARMNN_SCOPED_PROFILING_EVENT_GUID(Compute::CpuRef, "RefConvolution3dWorkload_Execute", this->GetGuid()); + + 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(); + + Convolve3d(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_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 |