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/*
* 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 "backend/acl_cl/feature/View.h"
#include "internal/nnapi/feature/View.h"
#include <util/feature/IndexIterator.h>
#include <arm_compute/runtime/CL/CLScheduler.h>
namespace neurun
{
namespace kernel
{
namespace acl_cl
{
bool TensorConvertToCommonLayer::convert()
{
auto outputBuffer = _outputTensor->buffer();
auto outputSize = _outputTensor->info()->total_size();
auto &queue = ::arm_compute::CLScheduler::get().queue();
_inputTensor->map(queue);
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::arm_compute::feature::View<float> from{_inputTensor};
::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;
};
}
_inputTensor->unmap(queue);
}
void TensorConvertToCommonLayer::configure(::arm_compute::ICLTensor *inputTensor,
::internal::common::Tensor *outputTensor,
const ::neurun::graph::operand::Shape &tensorShape)
{
_inputTensor = inputTensor;
_outputTensor = outputTensor;
_tensorShape = tensorShape;
}
void TensorConvertToCommonLayer::run() { convert(); }
} // namespace acl_cl
} // namespace kernel
} // namespace neurun
#endif
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