1 files changed, 52 insertions, 0 deletions
diff --git a/src/backends/reference/workloads/RefDetectionPostProcessUint8Workload.cpp b/src/backends/reference/workloads/RefDetectionPostProcessUint8Workload.cpp
new file mode 100644
index 0000000000..ccdaf87c9a
--- /dev/null
+++ b/src/backends/reference/workloads/RefDetectionPostProcessUint8Workload.cpp
@@ -0,0 +1,52 @@
+//
+// 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