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

Change-Id: I7ebafb675ccc77ad54d1deb01412a8379a5356bb

1 files changed, 66 insertions, 0 deletions

diff --git a/src/backends/RefWorkloads/RefFullyConnectedUint8Workload.cpp b/src/backends/RefWorkloads/RefFullyConnectedUint8Workload.cpp
new file mode 100644
index 0000000000..cd785d786c
--- /dev/null
+++ b/src/backends/RefWorkloads/RefFullyConnectedUint8Workload.cpp
@@ -0,0 +1,66 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "RefFullyConnectedUint8Workload.hpp"
+
+#include "FullyConnected.hpp"
+#include "RefWorkloadUtils.hpp"
+
+#include "Profiling.hpp"
+
+#include <vector>
+
+namespace armnn
+{
+RefFullyConnectedUint8Workload::RefFullyConnectedUint8Workload(
+    const FullyConnectedQueueDescriptor& descriptor, const WorkloadInfo& info)
+     : Uint8Workload<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 RefFullyConnectedUint8Workload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefFullyConnectedUint8Workload_Execute");
+
+    const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]);
+    const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
+
+    const uint8_t* weightData = m_Weight->GetConstTensor<uint8_t>();
+
+    auto dequant = Dequantize(GetInputTensorDataU8(0, m_Data), inputInfo);
+
+    auto weight = Dequantize(weightData, m_Weight->GetTensorInfo());
+
+    std::vector<float> results(outputInfo.GetNumElements());
+
+    if (m_Data.m_Parameters.m_BiasEnabled)
+    {
+        const int32_t* biasData = m_Bias->GetConstTensor<int32_t>();
+        auto           bias     = Dequantize(biasData, m_Bias->GetTensorInfo());
+
+        FullyConnected(dequant.data(),
+                       results.data(),
+                       inputInfo,
+                       outputInfo,
+                       weight.data(),
+                       bias.data(),
+                       m_Data.m_Parameters.m_TransposeWeightMatrix);
+    }
+    else
+    {
+        FullyConnected(dequant.data(),
+                       results.data(),
+                       inputInfo,
+                       outputInfo,
+                       weight.data(),
+                       nullptr,
+                       m_Data.m_Parameters.m_TransposeWeightMatrix);
+    }
+
+    Quantize(GetOutputTensorDataU8(0, m_Data), results.data(), outputInfo);
+}
+
+} //namespace armnn