1 files changed, 65 insertions, 0 deletions
diff --git a/src/backends/reference/workloads/RefFullyConnectedWorkload.cpp b/src/backends/reference/workloads/RefFullyConnectedWorkload.cpp
new file mode 100644
index 0000000000..dc7030ef81
--- /dev/null
+++ b/src/backends/reference/workloads/RefFullyConnectedWorkload.cpp
@@ -0,0 +1,65 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "RefFullyConnectedWorkload.hpp"
+
+#include "FullyConnected.hpp"
+#include "RefWorkloadUtils.hpp"
+
+#include "Profiling.hpp"
+
+namespace armnn
+{
+RefFullyConnectedWorkload::RefFullyConnectedWorkload(
+    const FullyConnectedQueueDescriptor& descriptor, const WorkloadInfo& info)
+        : BaseWorkload<FullyConnectedQueueDescriptor>(descriptor, info),
+          m_Weight(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Weight)))
+{
+    const TensorInfo& rWeightInfo = GetTensorInfo(m_Weight.get());
+    m_WeightShape = rWeightInfo.GetShape();
+    m_WeightDecoder = MakeDecoder<float>(rWeightInfo, m_Weight->Map(true));
+
+    if (descriptor.m_Parameters.m_BiasEnabled)
+    {
+        m_Bias = std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Bias));
+        const TensorInfo& biasInfo = GetTensorInfo(m_Bias.get());
+        m_BiasDecoder = MakeDecoder<float>(biasInfo, m_Bias->Map(true));
+    }
+}
+
+void RefFullyConnectedWorkload::PostAllocationConfigure()
+{
+    const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]);
+    BOOST_ASSERT(inputInfo.GetNumDimensions() > 1);
+    m_InputShape = inputInfo.GetShape();
+    m_InputDecoder = MakeDecoder<float>(inputInfo, m_Data.m_Inputs[0]->Map());
+
+    const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
+    m_OutputShape = outputInfo.GetShape();
+    m_OutputEncoder = MakeEncoder<float>(outputInfo, m_Data.m_Outputs[0]->Map());
+
+    m_NumActivations = 1; // Total number of activations in the input.
+    for (unsigned int i = 1; i < inputInfo.GetNumDimensions(); i++)
+    {
+        m_NumActivations *= inputInfo.GetShape()[i];
+    }
+}
+
+void RefFullyConnectedWorkload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefFullyConnectedWorkload_Execute");
+
+    FullyConnected(m_InputShape,
+                   *m_InputDecoder,
+                   m_OutputShape,
+                   *m_OutputEncoder,
+                   *m_WeightDecoder,
+                   *m_BiasDecoder,
+                   m_Data.m_Parameters.m_BiasEnabled,
+                   m_NumActivations,
+                   m_Data.m_Parameters.m_TransposeWeightMatrix);
+}
+
+} //namespace armnn