From bc67cef3e3dc9e7fe9c4331495009eda48c89527 Mon Sep 17 00:00:00 2001 From: Narumol Prangnawarat Date: Thu, 31 Jan 2019 15:31:54 +0000 Subject: IVGCVSW-2557 Ref Workload Implementation for Detection PostProcess * implementation of DetectionPostProcessQueueDescriptor validate * add Uint8ToFloat32Workload * add implementation of Detection PostProcess functionalities * add ref workload implemenentation for float and uint8 * add layer support for Detection PostProcess in ref * unit tests Change-Id: I650461f49edbb3c533d68ef8700377af51bc3592 --- .../RefDetectionPostProcessFloat32Workload.cpp | 48 ++++++++++++++++++++++ 1 file changed, 48 insertions(+) create mode 100644 src/backends/reference/workloads/RefDetectionPostProcessFloat32Workload.cpp (limited to 'src/backends/reference/workloads/RefDetectionPostProcessFloat32Workload.cpp') diff --git a/src/backends/reference/workloads/RefDetectionPostProcessFloat32Workload.cpp b/src/backends/reference/workloads/RefDetectionPostProcessFloat32Workload.cpp new file mode 100644 index 0000000000..ddab046f9c --- /dev/null +++ b/src/backends/reference/workloads/RefDetectionPostProcessFloat32Workload.cpp @@ -0,0 +1,48 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "RefDetectionPostProcessFloat32Workload.hpp" + +#include "DetectionPostProcess.hpp" +#include "Profiling.hpp" +#include "RefWorkloadUtils.hpp" + +namespace armnn +{ + +RefDetectionPostProcessFloat32Workload::RefDetectionPostProcessFloat32Workload( + const DetectionPostProcessQueueDescriptor& descriptor, const WorkloadInfo& info) + : Float32Workload(descriptor, info), + m_Anchors(std::make_unique(*(descriptor.m_Anchors))) {} + +void RefDetectionPostProcessFloat32Workload::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 float* boxEncodings = GetInputTensorDataFloat(0, m_Data); + const float* scores = GetInputTensorDataFloat(1, m_Data); + const float* anchors = m_Anchors->GetConstTensor(); + + float* detectionBoxes = GetOutputTensorData(0, m_Data); + float* detectionClasses = GetOutputTensorData(1, m_Data); + float* detectionScores = GetOutputTensorData(2, m_Data); + float* numDetections = GetOutputTensorData(3, m_Data); + + DetectionPostProcess(boxEncodingsInfo, scoresInfo, anchorsInfo, + detectionBoxesInfo, detectionClassesInfo, + detectionScoresInfo, numDetectionsInfo, m_Data.m_Parameters, + boxEncodings, scores, anchors, detectionBoxes, + detectionClasses, detectionScores, numDetections); +} + +} //namespace armnn -- cgit v1.2.1