mirror of
https://github.com/Xaymar/obs-StreamFX
synced 2024-10-24 05:42:39 +00:00
98f711523e
The CUDA library is always available as a singleton, so it does not make sense for it to be passed in. Instead we can simply grab it from the singleton and use it as it is, which makes the code easier to maintain and automates certain code.
39 lines
1.2 KiB
C++
39 lines
1.2 KiB
C++
/*
|
|
* Modern effects for a modern Streamer
|
|
* Copyright (C) 2020 Michael Fabian Dirks
|
|
*
|
|
* This program is free software; you can redistribute it and/or modify
|
|
* it under the terms of the GNU General Public License as published by
|
|
* the Free Software Foundation; either version 2 of the License, or
|
|
* (at your option) any later version.
|
|
*
|
|
* This program is distributed in the hope that it will be useful,
|
|
* but WITHOUT ANY WARRANTY; without even the implied warranty of
|
|
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
|
* GNU General Public License for more details.
|
|
*
|
|
* You should have received a copy of the GNU General Public License
|
|
* along with this program; if not, write to the Free Software
|
|
* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA
|
|
*/
|
|
|
|
#pragma once
|
|
#include <cstddef>
|
|
#include <memory>
|
|
#include "nvidia-cuda.hpp"
|
|
|
|
namespace nvidia::cuda {
|
|
class memory {
|
|
std::shared_ptr<::nvidia::cuda::cuda> _cuda;
|
|
device_ptr_t _pointer;
|
|
size_t _size;
|
|
|
|
public:
|
|
memory(size_t size);
|
|
~memory();
|
|
|
|
device_ptr_t get();
|
|
|
|
std::size_t size();
|
|
};
|
|
} // namespace nvidia::cuda
|