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/* Copyright (c) 2008-2022 the MRtrix3 contributors.
*
* This Source Code Form is subject to the terms of the Mozilla Public
* License, v. 2.0. If a copy of the MPL was not distributed with this
* file, You can obtain one at http://mozilla.org/MPL/2.0/.
*
* Covered Software is provided under this License on an "as is"
* basis, without warranty of any kind, either expressed, implied, or
* statutory, including, without limitation, warranties that the
* Covered Software is free of defects, merchantable, fit for a
* particular purpose or non-infringing.
* See the Mozilla Public License v. 2.0 for more details.
*
* For more details, see http://www.mrtrix.org/.
*/
#ifndef __algo_threaded_copy_h__
#define __algo_threaded_copy_h__
#include "algo/threaded_loop.h"
namespace MR
{
//! \cond skip
namespace {
struct __copy_func { NOMEMALIGN
template <class InputImageType, class OutputImageType>
FORCE_INLINE void operator() (InputImageType& in, OutputImageType& out) const {
out.value() = in.value();
}
};
}
//! \endcond
template <class InputImageType, class OutputImageType>
inline void threaded_copy (
InputImageType& source,
OutputImageType& destination,
const vector<size_t>& axes,
size_t num_axes_in_thread = 1)
{
ThreadedLoop (source, axes, num_axes_in_thread)
.run (__copy_func(), source, destination);
}
template <class InputImageType, class OutputImageType>
inline void threaded_copy (
InputImageType& source,
OutputImageType& destination,
size_t from_axis = 0,
size_t to_axis = std::numeric_limits<size_t>::max(),
size_t num_axes_in_thread = 1)
{
ThreadedLoop (source, from_axis, to_axis, num_axes_in_thread)
.run (__copy_func(), source, destination);
}
template <class InputImageType, class OutputImageType>
inline void threaded_copy_with_progress_message (
const std::string& message,
InputImageType& source,
OutputImageType& destination,
const vector<size_t>& axes,
size_t num_axes_in_thread = 1)
{
ThreadedLoop (message, source, axes, num_axes_in_thread)
.run (__copy_func(), source, destination);
}
template <class InputImageType, class OutputImageType>
inline void threaded_copy_with_progress_message (
const std::string& message,
InputImageType& source,
OutputImageType& destination,
size_t from_axis = 0,
size_t to_axis = std::numeric_limits<size_t>::max(),
size_t num_axes_in_thread = 1)
{
ThreadedLoop (message, source, from_axis, to_axis, num_axes_in_thread)
.run (__copy_func(), source, destination);
}
template <class InputImageType, class OutputImageType>
inline void threaded_copy_with_progress (
InputImageType& source,
OutputImageType& destination,
const vector<size_t>& axes,
size_t num_axes_in_thread = 1)
{
threaded_copy_with_progress_message ("copying from \"" + shorten (source.name()) + "\" to \"" + shorten (destination.name()) + "\"",
source, destination, axes, num_axes_in_thread);
}
template <class InputImageType, class OutputImageType>
inline void threaded_copy_with_progress (
InputImageType& source,
OutputImageType& destination,
size_t from_axis = 0,
size_t to_axis = std::numeric_limits<size_t>::max(),
size_t num_axes_in_thread = 1)
{
threaded_copy_with_progress_message ("copying from \"" + shorten (source.name()) + "\" to \"" + shorten (destination.name()) + "\"",
source, destination, from_axis, to_axis, num_axes_in_thread);
}
}
#endif
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