diff options
Diffstat (limited to 'runtimes/neurun/src/kernel/cpu/TensorConvertFromCommonLayer.cc')
-rw-r--r-- | runtimes/neurun/src/kernel/cpu/TensorConvertFromCommonLayer.cc | 90 |
1 files changed, 0 insertions, 90 deletions
diff --git a/runtimes/neurun/src/kernel/cpu/TensorConvertFromCommonLayer.cc b/runtimes/neurun/src/kernel/cpu/TensorConvertFromCommonLayer.cc deleted file mode 100644 index 00e914732..000000000 --- a/runtimes/neurun/src/kernel/cpu/TensorConvertFromCommonLayer.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 "TensorConvertFromCommonLayer.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 TensorConvertFromCommonLayer::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<const float *>(inputBuffer); - - for (int32_t n = 0; n < len; ++n) - { - auto from = base + n; - auto into = - reinterpret_cast<float *>(_outputTensor->ptr_to_element(::arm_compute::Coordinates{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 TensorConvertFromCommonLayer::configure(::internal::common::Tensor *inputTensor, - ::internal::cpu::Tensor *outputTensor, - const Shape &tensorShape) -{ - _inputTensor = inputTensor; - _outputTensor = outputTensor; - _tensorShape = tensorShape; -} - -void TensorConvertFromCommonLayer::run() { convert(); } - -} // namespace cpu -} // namespace kernel -} // namespace neurun - -#endif |