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