1 files changed, 0 insertions, 66 deletions
diff --git a/src/backends/reference/workloads/RefFullyConnectedUint8Workload.cpp b/src/backends/reference/workloads/RefFullyConnectedUint8Workload.cpp
deleted file mode 100644
index cd785d786c..0000000000
--- a/src/backends/reference/workloads/RefFullyConnectedUint8Workload.cpp
+++ /dev/null
@@ -1,66 +0,0 @@
-//
-// 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