From 10b4dfd8e9ccd7a03df7bb053ee1c644cb37f8ab Mon Sep 17 00:00:00 2001
From: David Beck <david.beck@arm.com>
Date: Wed, 19 Sep 2018 12:03:20 +0100
Subject: IVGCVSW-1897 : build infrastructure for the src/backends folder

Change-Id: I7ebafb675ccc77ad54d1deb01412a8379a5356bb
---
 .../RefBatchNormalizationFloat32Workload.cpp       | 38 ++++++++++++++++++++++
 1 file changed, 38 insertions(+)
 create mode 100644 src/backends/RefWorkloads/RefBatchNormalizationFloat32Workload.cpp

(limited to 'src/backends/RefWorkloads/RefBatchNormalizationFloat32Workload.cpp')

diff --git a/src/backends/RefWorkloads/RefBatchNormalizationFloat32Workload.cpp b/src/backends/RefWorkloads/RefBatchNormalizationFloat32Workload.cpp
new file mode 100644
index 0000000000..313af9c438
--- /dev/null
+++ b/src/backends/RefWorkloads/RefBatchNormalizationFloat32Workload.cpp
@@ -0,0 +1,38 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "RefBatchNormalizationFloat32Workload.hpp"
+
+#include "BatchNormImpl.hpp"
+#include "RefWorkloadUtils.hpp"
+
+#include "Profiling.hpp"
+
+namespace armnn
+{
+RefBatchNormalizationFloat32Workload::RefBatchNormalizationFloat32Workload(
+   const BatchNormalizationQueueDescriptor& descriptor, const WorkloadInfo& info)
+      : Float32Workload<BatchNormalizationQueueDescriptor>(descriptor, info),
+        m_Mean(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Mean))),
+        m_Variance(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Variance))),
+        m_Beta(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Beta))),
+        m_Gamma(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Gamma))) {}
+
+void RefBatchNormalizationFloat32Workload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefBatchNormalizationFloat32Workload_Execute");
+
+    const float* var   = m_Variance->GetConstTensor<float>();
+    const float* mean  = m_Mean->GetConstTensor<float>();
+    const float* gamma = m_Gamma->GetConstTensor<float>();
+    const float* beta  = m_Beta->GetConstTensor<float>();
+
+    auto inputData = GetInputTensorDataFloat(0, m_Data);
+    auto outputData = GetOutputTensorDataFloat(0, m_Data);
+
+    BatchNormImpl(m_Data, var, mean, gamma, beta, outputData, inputData);
+}
+
+} //namespace armnn
-- 
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