1 files changed, 0 insertions, 69 deletions
diff --git a/src/armnn/backends/RefWorkloads/RefArithmeticWorkload.cpp b/src/armnn/backends/RefWorkloads/RefArithmeticWorkload.cpp
deleted file mode 100644
index 6c39fa1186..0000000000
--- a/src/armnn/backends/RefWorkloads/RefArithmeticWorkload.cpp
+++ /dev/null
@@ -1,69 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "RefArithmeticWorkload.hpp"
-#include "ArithmeticFunction.hpp"
-#include "RefWorkloadUtils.hpp"
-#include "Profiling.hpp"
-#include <vector>
-
-namespace armnn
-{
-
-template <typename ParentDescriptor, typename Functor>
-void BaseFloat32ArithmeticWorkload<ParentDescriptor, Functor>::ExecuteImpl(const char * debugString) const
-{
-    ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, debugString);
-
-    auto data = Float32Workload<ParentDescriptor>::GetData();
-    const TensorShape& inShape0 = GetTensorInfo(data.m_Inputs[0]).GetShape();
-    const TensorShape& inShape1 = GetTensorInfo(data.m_Inputs[1]).GetShape();
-    const TensorShape& outShape = GetTensorInfo(data.m_Outputs[0]).GetShape();
-
-    const float* inData0 = GetInputTensorDataFloat(0, data);
-    const float* inData1 = GetInputTensorDataFloat(1, data);
-    float* outData = GetOutputTensorDataFloat(0, data);
-
-    ArithmeticFunction<Functor>(inShape0, inShape1, outShape, inData0, inData1, outData);
-}
-
-template <typename ParentDescriptor, typename Functor>
-void BaseUint8ArithmeticWorkload<ParentDescriptor, Functor>::ExecuteImpl(const char * debugString) const
-{
-    ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, debugString);
-
-    auto data = Uint8Workload<ParentDescriptor>::GetData();
-    const TensorInfo& inputInfo0 = GetTensorInfo(data.m_Inputs[0]);
-    const TensorInfo& inputInfo1 = GetTensorInfo(data.m_Inputs[1]);
-    const TensorInfo& outputInfo = GetTensorInfo(data.m_Outputs[0]);
-
-    auto dequant0 = Dequantize(GetInputTensorDataU8(0, data), inputInfo0);
-    auto dequant1 = Dequantize(GetInputTensorDataU8(1, data), inputInfo1);
-
-    std::vector<float> results(outputInfo.GetNumElements());
-
-    ArithmeticFunction<Functor>(inputInfo0.GetShape(),
-                                inputInfo1.GetShape(),
-                                outputInfo.GetShape(),
-                                dequant0.data(),
-                                dequant1.data(),
-                                results.data());
-
-    Quantize(GetOutputTensorDataU8(0, data), results.data(), outputInfo);
-}
-
-}
-
-template class armnn::BaseFloat32ArithmeticWorkload<armnn::AdditionQueueDescriptor, std::plus<float>>;
-template class armnn::BaseUint8ArithmeticWorkload<armnn::AdditionQueueDescriptor, std::plus<float>>;
-
-template class armnn::BaseFloat32ArithmeticWorkload<armnn::SubtractionQueueDescriptor, std::minus<float>>;
-template class armnn::BaseUint8ArithmeticWorkload<armnn::SubtractionQueueDescriptor, std::minus<float>>;
-
-template class armnn::BaseFloat32ArithmeticWorkload<armnn::MultiplicationQueueDescriptor, std::multiplies<float>>;
-template class armnn::BaseUint8ArithmeticWorkload<armnn::MultiplicationQueueDescriptor, std::multiplies<float>>;
-
-template class armnn::BaseFloat32ArithmeticWorkload<armnn::DivisionQueueDescriptor, std::divides<float>>;
-template class armnn::BaseUint8ArithmeticWorkload<armnn::DivisionQueueDescriptor, std::divides<float>>;