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