1 files changed, 75 insertions, 0 deletions
diff --git a/src/backends/reference/workloads/RefL2NormalizationWorkload.cpp b/src/backends/reference/workloads/RefL2NormalizationWorkload.cpp
new file mode 100644
index 0000000000..ce5699ef0b
--- /dev/null
+++ b/src/backends/reference/workloads/RefL2NormalizationWorkload.cpp
@@ -0,0 +1,75 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "RefL2NormalizationWorkload.hpp"
+
+#include "RefWorkloadUtils.hpp"
+#include "Decoders.hpp"
+#include "Encoders.hpp"
+#include "DataLayoutIndexed.hpp"
+
+
+#include "Profiling.hpp"
+
+#include <cmath>
+
+using namespace armnnUtils;
+
+namespace armnn
+{
+RefL2NormalizationWorkload::RefL2NormalizationWorkload(
+            const L2NormalizationQueueDescriptor& descriptor,
+            const WorkloadInfo& info)
+            : BaseWorkload<L2NormalizationQueueDescriptor>(descriptor, info) {}
+
+    void RefL2NormalizationWorkload::Execute() const
+    {
+        ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefL2NormalizationWorkload_Execute");
+
+        const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]);
+        const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
+
+        auto inputDecoder  = MakeDecoder<float>(inputInfo, m_Data.m_Inputs[0]->Map());
+        auto outputEncoder = MakeEncoder<float>(outputInfo, m_Data.m_Outputs[0]->Map());
+
+        DataLayoutIndexed dataLayout(m_Data.m_Parameters.m_DataLayout);
+
+        const unsigned int batches  = inputInfo.GetShape()[0];
+        const unsigned int channels = inputInfo.GetShape()[dataLayout.GetChannelsIndex()];
+        const unsigned int height   = inputInfo.GetShape()[dataLayout.GetHeightIndex()];
+        const unsigned int width    = inputInfo.GetShape()[dataLayout.GetWidthIndex()];
+
+        for (unsigned int n = 0; n < batches; ++n)
+        {
+            for (unsigned int c = 0; c < channels; ++c)
+            {
+                for (unsigned int h = 0; h < height; ++h)
+                {
+                    for (unsigned int w = 0; w < width; ++w)
+                    {
+                        float reduction = 0.0;
+                        for (unsigned int d = 0; d < channels; ++d)
+                        {
+                            unsigned int inputIndex = dataLayout.GetIndex(inputInfo.GetShape(), n, d, h, w);
+
+                            (*inputDecoder)[inputIndex];
+                            const float value = inputDecoder->Get();
+                            reduction += value * value;
+                        }
+
+                        unsigned int index = dataLayout.GetIndex(inputInfo.GetShape(), n, c, h, w);
+
+                        const float scale = 1.0f / sqrtf(reduction);
+
+                        (*inputDecoder)[index];
+                        (*outputEncoder)[index];
+                        outputEncoder->Set(inputDecoder->Get() * scale);
+                    }
+                }
+            }
+        }
+    }
+
+} //namespace armnn