1 files changed, 0 insertions, 42 deletions
diff --git a/src/backends/RefWorkloads/RefFakeQuantizationFloat32Workload.cpp b/src/backends/RefWorkloads/RefFakeQuantizationFloat32Workload.cpp
deleted file mode 100644
index 3e16f60b11..0000000000
--- a/src/backends/RefWorkloads/RefFakeQuantizationFloat32Workload.cpp
+++ /dev/null
@@ -1,42 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "RefFakeQuantizationFloat32Workload.hpp"
-
-#include "RefWorkloadUtils.hpp"
-
-#include "Profiling.hpp"
-
-#include <boost/numeric/conversion/cast.hpp>
-
-namespace armnn
-{
-
-void FakeQuantization(const float* inputData, float* outputData, uint32_t numElements, float min, float max)
-{
-    float scale = (max - min) / 255.f;
-    int32_t offset = boost::numeric_cast<int32_t>((-min * 255.f) / (max - min));
-
-    for (uint32_t i = 0; i < numElements; i++)
-    {
-        outputData[i] = static_cast<float>(armnn::Quantize<uint8_t>(inputData[i], scale, offset));
-    }
-
-}
-
-void RefFakeQuantizationFloat32Workload::Execute() const
-{
-    ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefFakeQuantizationFloat32Workload_Execute");
-
-    const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]);
-
-    const float* inputData = GetInputTensorDataFloat(0, m_Data);
-    float* outputData = GetOutputTensorDataFloat(0, m_Data);
-    FakeQuantization(inputData, outputData, inputInfo.GetNumElements(),
-                     m_Data.m_Parameters.m_Min,
-                     m_Data.m_Parameters.m_Max);
-}
-
-} //namespace armnn