1 files changed, 60 insertions, 0 deletions
diff --git a/src/armnn/backends/RefWorkloads/RefFullyConnectedUint8Workload.cpp b/src/armnn/backends/RefWorkloads/RefFullyConnectedUint8Workload.cpp
new file mode 100644
index 0000000000..0186d3f5e5
--- /dev/null
+++ b/src/armnn/backends/RefWorkloads/RefFullyConnectedUint8Workload.cpp
@@ -0,0 +1,60 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+
+#include "RefFullyConnectedUint8Workload.hpp"
+
+#include "FullyConnected.hpp"
+#include "RefWorkloadUtils.hpp"
+
+#include "Profiling.hpp"
+
+#include <vector>
+
+namespace armnn
+{
+
+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_Data.m_Weight->GetConstTensor<uint8_t>();
+
+    auto dequant = Dequantize(GetInputTensorDataU8(0, m_Data), inputInfo);
+
+    auto weight = Dequantize(weightData, m_Data.m_Weight->GetTensorInfo());
+
+    std::vector<float> results(inputInfo.GetNumElements());
+
+    if (m_Data.m_Parameters.m_BiasEnabled)
+    {
+        const int32_t* biasData = m_Data.m_Bias->GetConstTensor<int32_t>();
+        auto           bias     = Dequantize(biasData, m_Data.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