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-rw-r--r--src/backends/reference/workloads/RefFullyConnectedWorkload.cpp68
1 files changed, 0 insertions, 68 deletions
diff --git a/src/backends/reference/workloads/RefFullyConnectedWorkload.cpp b/src/backends/reference/workloads/RefFullyConnectedWorkload.cpp
deleted file mode 100644
index ac82db90e5..0000000000
--- a/src/backends/reference/workloads/RefFullyConnectedWorkload.cpp
+++ /dev/null
@@ -1,68 +0,0 @@
-//
-// 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 = m_Weight->GetTensorInfo();
- 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 = m_Bias->GetTensorInfo();
- 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);
-
- const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
- m_OutputShape = outputInfo.GetShape();
- m_OutputEncoder = MakeEncoder<float>(outputInfo);
-
- 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");
-
- m_InputDecoder->Reset(m_Data.m_Inputs[0]->Map());
- m_OutputEncoder->Reset(m_Data.m_Outputs[0]->Map());
-
- 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