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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "RefDetectionPostProcessUint8Workload.hpp"
#include "DetectionPostProcess.hpp"
#include "Profiling.hpp"
#include "RefWorkloadUtils.hpp"
namespace armnn
{
RefDetectionPostProcessUint8Workload::RefDetectionPostProcessUint8Workload(
const DetectionPostProcessQueueDescriptor& descriptor, const WorkloadInfo& info)
: Uint8ToFloat32Workload<DetectionPostProcessQueueDescriptor>(descriptor, info),
m_Anchors(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Anchors))) {}
void RefDetectionPostProcessUint8Workload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefDetectionPostProcessUint8Workload_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]);
const uint8_t* boxEncodingsData = GetInputTensorDataU8(0, m_Data);
const uint8_t* scoresData = GetInputTensorDataU8(1, m_Data);
const uint8_t* anchorsData = m_Anchors->GetConstTensor<uint8_t>();
auto boxEncodings = Dequantize(boxEncodingsData, boxEncodingsInfo);
auto scores = Dequantize(scoresData, scoresInfo);
auto anchors = Dequantize(anchorsData, anchorsInfo);
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.data(), scores.data(), anchors.data(),
detectionBoxes, detectionClasses, detectionScores, numDetections);
}
} //namespace armnn
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