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
---
 .../workloads/RefConvolution2dFloat32Workload.cpp  | 37 ++++++++++++++++++++++
 1 file changed, 37 insertions(+)
 create mode 100644 src/backends/reference/workloads/RefConvolution2dFloat32Workload.cpp

(limited to 'src/backends/reference/workloads/RefConvolution2dFloat32Workload.cpp')

diff --git a/src/backends/reference/workloads/RefConvolution2dFloat32Workload.cpp b/src/backends/reference/workloads/RefConvolution2dFloat32Workload.cpp
new file mode 100644
index 0000000000..20905646d7
--- /dev/null
+++ b/src/backends/reference/workloads/RefConvolution2dFloat32Workload.cpp
@@ -0,0 +1,37 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "RefConvolution2dFloat32Workload.hpp"
+
+#include "ConvImpl.hpp"
+#include "RefWorkloadUtils.hpp"
+
+#include "Profiling.hpp"
+
+namespace armnn
+{
+RefConvolution2dFloat32Workload::RefConvolution2dFloat32Workload(
+    const Convolution2dQueueDescriptor& descriptor, const WorkloadInfo& info)
+        : Float32Workload<Convolution2dQueueDescriptor>(descriptor, info),
+          m_Weight(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Weight))),
+          m_Bias(descriptor.m_Parameters.m_BiasEnabled
+                 ? std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Bias)) : nullptr) {}
+
+void RefConvolution2dFloat32Workload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefConvolution2dFloat32Workload_Execute");
+
+    float*       outputData = GetOutputTensorDataFloat(0, m_Data);
+    const float* inputData  = GetInputTensorDataFloat(0, m_Data);
+    const float* weightData = m_Weight->template GetConstTensor<float>();
+    const float* biasData   = m_Data.m_Parameters.m_BiasEnabled ?
+        m_Bias->template GetConstTensor<float>() : nullptr;
+    const TensorInfo& filterInfo = m_Weight->GetTensorInfo();
+
+    ConvImpl<armnn::Convolution2dQueueDescriptor, float, float, float>(
+        m_Data, inputData, 0.0f, 0, weightData, 0.0f, 0, biasData, outputData, 0.0f, 0, filterInfo);
+}
+
+} //namespace armnn
-- 
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