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

1 files changed, 37 insertions, 0 deletions

diff --git a/src/backends/reference/workloads/RefDepthwiseConvolution2dFloat32Workload.cpp b/src/backends/reference/workloads/RefDepthwiseConvolution2dFloat32Workload.cpp
new file mode 100644
index 0000000000..e89013b9bd
--- /dev/null
+++ b/src/backends/reference/workloads/RefDepthwiseConvolution2dFloat32Workload.cpp
@@ -0,0 +1,37 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "RefDepthwiseConvolution2dFloat32Workload.hpp"
+
+#include "ConvImpl.hpp"
+#include "RefWorkloadUtils.hpp"
+
+#include "Profiling.hpp"
+
+namespace armnn
+{
+RefDepthwiseConvolution2dFloat32Workload::RefDepthwiseConvolution2dFloat32Workload(
+    const DepthwiseConvolution2dQueueDescriptor& descriptor, const WorkloadInfo& info)
+        : Float32Workload<DepthwiseConvolution2dQueueDescriptor>(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 RefDepthwiseConvolution2dFloat32Workload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefDepthwiseConvolution2dFloat32Workload_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::DepthwiseConvolution2dQueueDescriptor, float, float, float>
+        (m_Data, inputData, 0.0f, 0, weightData, 0.0f, 0, biasData, outputData, 0.0f, 0, filterInfo, true);
+}
+
+} //namespace armnn