IVGCVSW-1897 : build infrastructure for the src/backends folder

Change-Id: I7ebafb675ccc77ad54d1deb01412a8379a5356bb

1 files changed, 0 insertions, 37 deletions

diff --git a/src/armnn/backends/RefWorkloads/RefDepthwiseConvolution2dFloat32Workload.cpp b/src/armnn/backends/RefWorkloads/RefDepthwiseConvolution2dFloat32Workload.cpp
deleted file mode 100644
index e89013b9bd..0000000000
--- a/src/armnn/backends/RefWorkloads/RefDepthwiseConvolution2dFloat32Workload.cpp
+++ /dev/null
@@ -1,37 +0,0 @@
-//
-// 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