68 lines
2.5 KiB
C++
68 lines
2.5 KiB
C++
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/*
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* Copyright (c) 2017-2018 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#include "RawTensor.h"
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namespace arm_compute
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{
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namespace test
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{
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RawTensor::RawTensor(TensorShape shape, Format format)
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: SimpleTensor(shape, format)
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{
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_buffer = support::cpp14::make_unique<uint8_t[]>(SimpleTensor::num_elements() * SimpleTensor::num_channels() * SimpleTensor::element_size());
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}
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RawTensor::RawTensor(TensorShape shape, DataType data_type, int num_channels)
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: SimpleTensor(shape, data_type, num_channels)
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{
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_buffer = support::cpp14::make_unique<uint8_t[]>(SimpleTensor::num_elements() * SimpleTensor::num_channels() * SimpleTensor::element_size());
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}
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RawTensor::RawTensor(const RawTensor &tensor)
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: SimpleTensor(tensor.shape(), tensor.data_type(), tensor.num_channels())
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{
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_format = tensor.format();
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_buffer = support::cpp14::make_unique<uint8_t[]>(num_elements() * num_channels() * element_size());
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std::copy_n(tensor.data(), num_elements() * num_channels() * element_size(), _buffer.get());
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}
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RawTensor &RawTensor::operator=(RawTensor tensor)
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{
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swap(*this, tensor);
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return *this;
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}
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const void *RawTensor::operator()(const Coordinates &coord) const
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{
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return _buffer.get() + coord2index(_shape, coord) * element_size();
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}
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void *RawTensor::operator()(const Coordinates &coord)
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{
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return _buffer.get() + coord2index(_shape, coord) * element_size();
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}
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} // namespace test
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} // namespace arm_compute
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