1 files changed, 0 insertions, 57 deletions
diff --git a/src/backends/reference/workloads/RefStackWorkload.cpp b/src/backends/reference/workloads/RefStackWorkload.cpp
deleted file mode 100644
index be36f40633..0000000000
--- a/src/backends/reference/workloads/RefStackWorkload.cpp
+++ /dev/null
@@ -1,57 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "RefStackWorkload.hpp"
-
-#include "RefWorkloadUtils.hpp"
-#include "Stack.hpp"
-
-#include <Profiling.hpp>
-
-namespace armnn
-{
-
-RefStackWorkload::RefStackWorkload(const StackQueueDescriptor& descriptor,
-                                   const WorkloadInfo& info)
-    : BaseWorkload(descriptor, info)
-{}
-
-void RefStackWorkload::Execute() const
-{
-    ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefStackWorkload_Execute");
-
-    // Can perform a simple concatenation when axis == 0
-    if (!m_Data.m_Parameters.m_Axis)
-    {
-        float* output = GetOutputTensorData<float>(0, m_Data);
-        BOOST_ASSERT(output != nullptr);
-
-        unsigned int numInputs = m_Data.m_Parameters.m_NumInputs;
-        unsigned int inputLength = GetTensorInfo(m_Data.m_Inputs[0]).GetNumElements();
-
-        for (unsigned int inputIdx=0; inputIdx<numInputs; ++inputIdx)
-        {
-            const float* input = GetInputTensorData<float>(inputIdx, m_Data);
-            for (unsigned int elmt=0; elmt<inputLength; ++elmt)
-            {
-                output[(inputIdx * inputLength) + elmt] = input[elmt];
-            }
-        }
-        return;
-    }
-
-    std::vector<std::unique_ptr<Decoder<float>>> inputDecoders;
-    for (unsigned int i=0; i<m_Data.m_Inputs.size(); ++i)
-    {
-        inputDecoders.push_back(MakeDecoder<float>(GetTensorInfo(m_Data.m_Inputs[i]),
-                                                   m_Data.m_Inputs[i]->Map()));
-    }
-    std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(m_Data.m_Outputs[0]),
-                                                                       m_Data.m_Outputs[0]->Map());
-
-    Stack(m_Data, inputDecoders, *outputEncoder);
-}
-
-} // namespace armnn