diff options
Diffstat (limited to 'src/backends/reference/workloads/RefDetectionPostProcessWorkload.cpp')
-rw-r--r-- | src/backends/reference/workloads/RefDetectionPostProcessWorkload.cpp | 50 |
1 files changed, 50 insertions, 0 deletions
diff --git a/src/backends/reference/workloads/RefDetectionPostProcessWorkload.cpp b/src/backends/reference/workloads/RefDetectionPostProcessWorkload.cpp new file mode 100644 index 0000000000..db24cc53e4 --- /dev/null +++ b/src/backends/reference/workloads/RefDetectionPostProcessWorkload.cpp @@ -0,0 +1,50 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "RefDetectionPostProcessWorkload.hpp" + +#include "Decoders.hpp" +#include "DetectionPostProcess.hpp" +#include "Profiling.hpp" +#include "RefWorkloadUtils.hpp" + +namespace armnn +{ + +RefDetectionPostProcessWorkload::RefDetectionPostProcessWorkload( + const DetectionPostProcessQueueDescriptor& descriptor, const WorkloadInfo& info) + : BaseWorkload<DetectionPostProcessQueueDescriptor>(descriptor, info), + m_Anchors(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Anchors))) {} + +void RefDetectionPostProcessWorkload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefDetectionPostProcessWorkload_Execute"); + + const TensorInfo& boxEncodingsInfo = GetTensorInfo(m_Data.m_Inputs[0]); + const TensorInfo& scoresInfo = GetTensorInfo(m_Data.m_Inputs[1]); + const TensorInfo& anchorsInfo = GetTensorInfo(m_Anchors.get()); + + const TensorInfo& detectionBoxesInfo = GetTensorInfo(m_Data.m_Outputs[0]); + const TensorInfo& detectionClassesInfo = GetTensorInfo(m_Data.m_Outputs[1]); + const TensorInfo& detectionScoresInfo = GetTensorInfo(m_Data.m_Outputs[2]); + const TensorInfo& numDetectionsInfo = GetTensorInfo(m_Data.m_Outputs[3]); + + auto boxEncodings = MakeDecoder<float>(boxEncodingsInfo, m_Data.m_Inputs[0]->Map()); + auto scores = MakeDecoder<float>(scoresInfo, m_Data.m_Inputs[1]->Map()); + auto anchors = MakeDecoder<float>(anchorsInfo, m_Anchors->Map(false)); + + float* detectionBoxes = GetOutputTensorData<float>(0, m_Data); + float* detectionClasses = GetOutputTensorData<float>(1, m_Data); + float* detectionScores = GetOutputTensorData<float>(2, m_Data); + float* numDetections = GetOutputTensorData<float>(3, m_Data); + + DetectionPostProcess(boxEncodingsInfo, scoresInfo, anchorsInfo, + detectionBoxesInfo, detectionClassesInfo, + detectionScoresInfo, numDetectionsInfo, m_Data.m_Parameters, + *boxEncodings, *scores, *anchors, detectionBoxes, + detectionClasses, detectionScores, numDetections); +} + +} //namespace armnn |