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

Change-Id: I7ebafb675ccc77ad54d1deb01412a8379a5356bb

1 files changed, 0 insertions, 43 deletions

diff --git a/src/armnn/backends/RefWorkloads/RefFullyConnectedFloat32Workload.cpp b/src/armnn/backends/RefWorkloads/RefFullyConnectedFloat32Workload.cpp
deleted file mode 100644
index ccaf4cd87b..0000000000
--- a/src/armnn/backends/RefWorkloads/RefFullyConnectedFloat32Workload.cpp
+++ /dev/null
@@ -1,43 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "RefFullyConnectedFloat32Workload.hpp"
-
-#include "FullyConnected.hpp"
-#include "RefWorkloadUtils.hpp"
-
-#include "Profiling.hpp"
-
-namespace armnn
-{
-RefFullyConnectedFloat32Workload::RefFullyConnectedFloat32Workload(
-    const FullyConnectedQueueDescriptor& descriptor, const WorkloadInfo& info)
-        : Float32Workload<FullyConnectedQueueDescriptor>(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 RefFullyConnectedFloat32Workload::Execute() const
-{
-    ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefFullyConnectedFloat32Workload_Execute");
-
-    const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]);
-    const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
-
-    float*       outputData = GetOutputTensorDataFloat(0, m_Data);
-    const float* inputData  = GetInputTensorDataFloat(0, m_Data);
-    const float* weightData = m_Weight->GetConstTensor<float>();
-    const float* biasData   = m_Data.m_Parameters.m_BiasEnabled ? m_Bias->GetConstTensor<float>() : nullptr;
-
-    FullyConnected(inputData,
-                   outputData,
-                   inputInfo,
-                   outputInfo,
-                   weightData,
-                   biasData,
-                   m_Data.m_Parameters.m_TransposeWeightMatrix);
-}
-
-} //namespace armnn