1 files changed, 40 insertions, 0 deletions
diff --git a/src/armnn/backends/RefWorkloads/RefBatchNormalizationUint8Workload.cpp b/src/armnn/backends/RefWorkloads/RefBatchNormalizationUint8Workload.cpp
new file mode 100644
index 0000000000..8a48523765
--- /dev/null
+++ b/src/armnn/backends/RefWorkloads/RefBatchNormalizationUint8Workload.cpp
@@ -0,0 +1,40 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+
+#include "RefBatchNormalizationUint8Workload.hpp"
+
+#include "BatchNormImpl.hpp"
+#include "RefWorkloadUtils.hpp"
+
+#include "Profiling.hpp"
+
+#include <vector>
+
+namespace armnn
+{
+
+void RefBatchNormalizationUint8Workload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefBatchNormalizationUint8Workload_Execute");
+
+    const TensorInfo& inputInfo0 = GetTensorInfo(m_Data.m_Inputs[0]);
+    const TensorInfo& varInfo = GetTensorInfo(m_Data.m_Variance);
+    const TensorInfo& meanInfo = GetTensorInfo(m_Data.m_Mean);
+    const TensorInfo& gammaInfo = GetTensorInfo(m_Data.m_Gamma);
+    const TensorInfo& betaInfo = GetTensorInfo(m_Data.m_Beta);
+    const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
+
+    auto input = Dequantize(GetInputTensorDataU8(0, m_Data), inputInfo0);
+    auto var = Dequantize(m_Data.m_Variance->GetConstTensor<uint8_t>(), varInfo);
+    auto mean = Dequantize(m_Data.m_Mean->GetConstTensor<uint8_t>(), meanInfo);
+    auto gamma = Dequantize(m_Data.m_Gamma->GetConstTensor<uint8_t>(), gammaInfo);
+    auto beta = Dequantize(m_Data.m_Beta->GetConstTensor<uint8_t>(), betaInfo);
+
+    std::vector<float> results(outputInfo.GetNumElements());
+    BatchNormImpl(m_Data, var.data(), mean.data(), gamma.data(), beta.data(), results.data(), input.data());
+    Quantize(GetOutputTensorDataU8(0, m_Data), results.data(), outputInfo);
+}
+
+} //namespace armnn