IVGCVSW-1899 : Neon backend folder structure

armnn:149855

Change-Id: I26e8cf83422a65049386a5ebdb6d0001627aefaa

1 files changed, 0 insertions, 43 deletions

diff --git a/src/backends/NeonWorkloads/NeonConvertFp32ToFp16Workload.cpp b/src/backends/NeonWorkloads/NeonConvertFp32ToFp16Workload.cpp
deleted file mode 100644
index 0f4fbe4e93..0000000000
--- a/src/backends/NeonWorkloads/NeonConvertFp32ToFp16Workload.cpp
+++ /dev/null
@@ -1,43 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "NeonConvertFp32ToFp16Workload.hpp"
-
-#include "Half.hpp"
-#include "FloatingPointConverter.hpp"
-
-#include "Profiling.hpp"
-#include "backends/WorkloadUtils.hpp"
-
-namespace armnn
-{
-
-NeonConvertFp32ToFp16Workload::NeonConvertFp32ToFp16Workload(const ConvertFp32ToFp16QueueDescriptor& descriptor,
-                                                             const WorkloadInfo& info)
-    : Float32ToFloat16Workload<ConvertFp32ToFp16QueueDescriptor>(descriptor, info)
-{
-    this->m_Data.ValidateInputsOutputs("NeonConvertFp32ToFp16Workload", 1, 1);
-    GatherTensorHandlePairs(descriptor, m_TensorHandlePairs);
-}
-
-void NeonConvertFp32ToFp16Workload::Execute() const
-{
-    ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonConvertFp32ToFp16Workload_Execute");
-
-    auto convertFunc = [](uint8_t* dst, const uint8_t* src, size_t size)
-        {
-            auto input = reinterpret_cast<const float*>(src);
-            auto output = reinterpret_cast<Half*>(dst);
-            size_t numElements = size/2; // 2 bytes per fp16
-            armnnUtils::FloatingPointConverter::ConvertFloat32To16(input, numElements, output);
-        };
-
-    for (const auto& pair : m_TensorHandlePairs)
-    {
-        CopyTensorContentsGeneric(pair.first, pair.second, convertFunc);
-    }
-}
-
-} //namespace armnn