From b4540bef0b0327683fe8e63f727c1212800dc2a9 Mon Sep 17 00:00:00 2001
From: David Beck <david.beck@arm.com>
Date: Mon, 24 Sep 2018 13:18:27 +0100
Subject: IVGCVSW-1898 : Ref backend folder structure

* Reference backend is renamed to backends/reference as per
  https://confluence.arm.com/display/MLENG/Pluggable+backends

Change-Id: I27a13c274eb60995dfb459e3c49c0e2f60bcd32c
---
 .../RefBatchNormalizationUint8Workload.cpp         | 47 ++++++++++++++++++++++
 1 file changed, 47 insertions(+)
 create mode 100644 src/backends/reference/workloads/RefBatchNormalizationUint8Workload.cpp

(limited to 'src/backends/reference/workloads/RefBatchNormalizationUint8Workload.cpp')

diff --git a/src/backends/reference/workloads/RefBatchNormalizationUint8Workload.cpp b/src/backends/reference/workloads/RefBatchNormalizationUint8Workload.cpp
new file mode 100644
index 0000000000..e248ad4b9d
--- /dev/null
+++ b/src/backends/reference/workloads/RefBatchNormalizationUint8Workload.cpp
@@ -0,0 +1,47 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "RefBatchNormalizationUint8Workload.hpp"
+
+#include "BatchNormImpl.hpp"
+#include "RefWorkloadUtils.hpp"
+
+#include "Profiling.hpp"
+
+#include <vector>
+
+namespace armnn
+{
+RefBatchNormalizationUint8Workload::RefBatchNormalizationUint8Workload(
+    const BatchNormalizationQueueDescriptor& descriptor, const WorkloadInfo& info)
+       : Uint8Workload<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 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_Variance.get());
+    const TensorInfo& meanInfo = GetTensorInfo(m_Mean.get());
+    const TensorInfo& gammaInfo = GetTensorInfo(m_Gamma.get());
+    const TensorInfo& betaInfo = GetTensorInfo(m_Beta.get());
+    const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
+
+    auto input = Dequantize(GetInputTensorDataU8(0, m_Data), inputInfo0);
+    auto var = Dequantize(m_Variance->GetConstTensor<uint8_t>(), varInfo);
+    auto mean = Dequantize(m_Mean->GetConstTensor<uint8_t>(), meanInfo);
+    auto gamma = Dequantize(m_Gamma->GetConstTensor<uint8_t>(), gammaInfo);
+    auto beta = Dequantize(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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