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/*
* Copyright (c) 2017 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"
#include "Utils.h"
#include "arm_compute/core/Utils.h"
#include <algorithm>
#include <array>
#include <functional>
#include <stdexcept>
#include <utility>
namespace arm_compute
{
namespace test
{
RawTensor::RawTensor(TensorShape shape, Format format, int fixed_point_position)
: _buffer(nullptr),
_shape(shape),
_format(format),
_fixed_point_position(fixed_point_position)
{
_buffer = ::arm_compute::test::cpp14::make_unique<BufferType[]>(size());
}
RawTensor::RawTensor(TensorShape shape, DataType data_type, int num_channels, int fixed_point_position)
: _buffer(nullptr),
_shape(shape),
_data_type(data_type),
_num_channels(num_channels),
_fixed_point_position(fixed_point_position)
{
_buffer = ::arm_compute::test::cpp14::make_unique<BufferType[]>(size());
}
RawTensor::RawTensor(const RawTensor &tensor)
: _buffer(nullptr),
_shape(tensor.shape()),
_format(tensor.format()),
_fixed_point_position(tensor.fixed_point_position())
{
_buffer = ::arm_compute::test::cpp14::make_unique<BufferType[]>(tensor.size());
std::copy(tensor.data(), tensor.data() + size(), _buffer.get());
}
RawTensor &RawTensor::operator=(RawTensor tensor)
{
swap(*this, tensor);
return *this;
}
RawTensor::BufferType &RawTensor::operator[](size_t offset)
{
return _buffer[offset];
}
const RawTensor::BufferType &RawTensor::operator[](size_t offset) const
{
return _buffer[offset];
}
TensorShape RawTensor::shape() const
{
return _shape;
}
size_t RawTensor::element_size() const
{
return num_channels() * element_size_from_data_type(data_type());
}
int RawTensor::fixed_point_position() const
{
return _fixed_point_position;
}
size_t RawTensor::size() const
{
const size_t size = std::accumulate(_shape.cbegin(), _shape.cend(), 1, std::multiplies<size_t>());
return size * element_size();
}
Format RawTensor::format() const
{
return _format;
}
DataType RawTensor::data_type() const
{
if(_format != Format::UNKNOWN)
{
return data_type_from_format(_format);
}
else
{
return _data_type;
}
}
int RawTensor::num_channels() const
{
switch(_format)
{
case Format::U8:
case Format::S16:
case Format::U16:
case Format::S32:
case Format::U32:
return 1;
case Format::RGB888:
return 3;
case Format::UNKNOWN:
return _num_channels;
default:
ARM_COMPUTE_ERROR("NOT SUPPORTED!");
}
}
int RawTensor::num_elements() const
{
return _shape.total_size();
}
const RawTensor::BufferType *RawTensor::data() const
{
return _buffer.get();
}
RawTensor::BufferType *RawTensor::data()
{
return _buffer.get();
}
const RawTensor::BufferType *RawTensor::operator()(const Coordinates &coord) const
{
return _buffer.get() + coord2index(_shape, coord) * element_size();
}
RawTensor::BufferType *RawTensor::operator()(const Coordinates &coord)
{
return _buffer.get() + coord2index(_shape, coord) * element_size();
}
void swap(RawTensor &tensor1, RawTensor &tensor2)
{
// Use unqualified call to swap to enable ADL. But make std::swap available
// as backup.
using std::swap;
swap(tensor1._shape, tensor2._shape);
swap(tensor1._format, tensor2._format);
swap(tensor1._data_type, tensor2._data_type);
swap(tensor1._num_channels, tensor2._num_channels);
swap(tensor1._buffer, tensor2._buffer);
}
} // namespace test
} // namespace arm_compute
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