From 4fcda0101ec3d110c1d6d7bee5c83416b645528a Mon Sep 17 00:00:00 2001
From: telsoa01 <telmo.soares@arm.com>
Date: Fri, 9 Mar 2018 14:13:49 +0000
Subject: Release 18.02

Change-Id: Id3c11dc5ee94ef664374a988fcc6901e9a232fa6
---
 .../RefBatchNormalizationUint8Workload.cpp         | 40 ++++++++++++++++++++++
 1 file changed, 40 insertions(+)
 create mode 100644 src/armnn/backends/RefWorkloads/RefBatchNormalizationUint8Workload.cpp

(limited to 'src/armnn/backends/RefWorkloads/RefBatchNormalizationUint8Workload.cpp')

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
-- 
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