1 files changed, 0 insertions, 90 deletions
diff --git a/runtimes/neurun/src/kernel/cpu/TensorConvertToCommonLayer.cc b/runtimes/neurun/src/kernel/cpu/TensorConvertToCommonLayer.cc
deleted file mode 100644
index 7d721f494..000000000
--- a/runtimes/neurun/src/kernel/cpu/TensorConvertToCommonLayer.cc
+++ /dev/null
@@ -1,90 +0,0 @@
-/*
- * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-//
-// THIS FILE IS UNUSED BUT LEFT FOR FUTURE REFERNCE
-//
-
-#if 0
-
-#include "TensorConvertToCommonLayer.h"
-
-#include "internal/nnapi/feature/Reader.h"
-#include "internal/nnapi/feature/View.h"
-
-#include <util/feature/IndexIterator.h>
-
-namespace neurun
-{
-namespace kernel
-{
-namespace cpu
-{
-
-bool TensorConvertToCommonLayer::convert()
-{
-  auto inputBuffer = _inputTensor->buffer();
-  auto inputSize = _inputTensor->info()->total_size();
-
-  auto outputBuffer = _outputTensor->buffer();
-  auto outputSize = _outputTensor->info()->total_size();
-
-  if (_tensorShape.rank() == 2)
-  {
-    const auto len = _tensorShape.dim(1);
-
-    auto base = reinterpret_cast<float *>(outputBuffer);
-
-    for (int32_t n = 0; n < len; ++n)
-    {
-      auto from = reinterpret_cast<const float *>(
-          _inputTensor->ptr_to_element(::arm_compute::Coordinates{n}));
-      auto into = base + n;
-
-      *into = *from;
-    }
-  }
-  else if (_tensorShape.rank() == 4)
-  {
-    auto featureShape = _tensorShape.asFeature();
-
-    const ::internal::nnapi::feature::Reader<float> from{featureShape, inputBuffer, inputSize};
-    ::internal::nnapi::feature::View<float> into{featureShape, outputBuffer, outputSize};
-
-    ::nnfw::util::feature::iterate(featureShape)
-        << [&](uint32_t batch, uint32_t ch, uint32_t row, uint32_t col) {
-             const auto value = from.at(batch, ch, row, col);
-             into.at(batch, ch, row, col) = value;
-           };
-  }
-}
-
-void TensorConvertToCommonLayer::configure(::internal::cpu::Tensor *inputTensor,
-                                           ::internal::common::Tensor *outputTensor,
-                                           const Shape &tensorShape)
-{
-  _inputTensor = inputTensor;
-  _outputTensor = outputTensor;
-  _tensorShape = tensorShape;
-}
-
-void TensorConvertToCommonLayer::run() { convert(); }
-
-} // namespace cpu
-} // namespace kernel
-} // namespace neurun
-
-#endif