1 files changed, 54 insertions, 0 deletions
diff --git a/src/armnn/backends/NeonWorkloads/NeonFullyConnectedFloat32Workload.cpp b/src/armnn/backends/NeonWorkloads/NeonFullyConnectedFloat32Workload.cpp
new file mode 100644
index 0000000000..54c4e4333c
--- /dev/null
+++ b/src/armnn/backends/NeonWorkloads/NeonFullyConnectedFloat32Workload.cpp
@@ -0,0 +1,54 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+
+#include "NeonFullyConnectedFloat32Workload.hpp"
+#include "backends/CpuTensorHandle.hpp"
+#include "backends/ArmComputeTensorUtils.hpp"
+
+
+namespace armnn
+{
+using namespace armcomputetensorutils;
+
+NeonFullyConnectedFloat32Workload::NeonFullyConnectedFloat32Workload(const FullyConnectedQueueDescriptor& descriptor,
+                                                                     const WorkloadInfo& info)
+    : Float32Workload<FullyConnectedQueueDescriptor>(descriptor, info)
+{
+    m_Data.ValidateInputsOutputs("NeonFullyConnectedFloat32Workload", 1, 1);
+
+    arm_compute::ITensor& input = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
+    arm_compute::ITensor& output = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
+
+    BuildArmComputeTensor(m_WeightsTensor, m_Data.m_Weight->GetTensorInfo());
+
+    arm_compute::Tensor* optionalBiasTensor = nullptr;
+    if (m_Data.m_Parameters.m_BiasEnabled)
+    {
+        BuildArmComputeTensor(m_BiasesTensor, m_Data.m_Bias->GetTensorInfo());
+        optionalBiasTensor = &m_BiasesTensor;
+    }
+
+    // Construct
+    m_FullyConnectedLayer.configure(
+        &input, &m_WeightsTensor, optionalBiasTensor, &output, m_Data.m_Parameters.m_TransposeWeightMatrix);
+
+    // Allocate
+    InitialiseArmComputeTensorData(m_WeightsTensor, m_Data.m_Weight->GetConstTensor<float>());
+
+    if (optionalBiasTensor)
+    {
+        InitialiseArmComputeTensorData(*optionalBiasTensor, m_Data.m_Bias->GetConstTensor<float>());
+    }
+}
+
+void NeonFullyConnectedFloat32Workload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuAcc, "NeonFullyConnectedFloat32Workload_Execute");
+    m_FullyConnectedLayer.run();
+}
+
+} //namespace armnn
+
+