mirror of
https://github.com/Xaymar/obs-StreamFX
synced 2024-10-24 05:42:39 +00:00
88213e81f6
Due to the 'nvcuda' library being part of the driver, it falls in a clause of the GPL which allows us to load and interface with system drivers. Since we can't rely on Nvidias headers here (incompatible license), most of this was pulled from FFmpeg and other things were found out via testing.
47 lines
1.4 KiB
C++
47 lines
1.4 KiB
C++
/*
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* Modern effects for a modern Streamer
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* Copyright (C) 2020 Michael Fabian Dirks
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*
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* This program is free software; you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation; either version 2 of the License, or
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* (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program; if not, write to the Free Software
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* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA
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*/
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#include "nvidia-cuda-memory.hpp"
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#include <stdexcept>
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nvidia::cuda::memory::memory(std::shared_ptr<::nvidia::cuda::cuda> cuda, std::size_t size) : _cuda(cuda), _pointer(), _size(size)
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{
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::nvidia::cuda::cu_result res = _cuda->cuMemAlloc(&_pointer, size);
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switch (res) {
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case ::nvidia::cuda::cu_result::SUCCESS:
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break;
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default:
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throw std::runtime_error("nvidia::cuda::memory: cuMemAlloc failed.");
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}
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}
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nvidia::cuda::memory::~memory()
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{
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_cuda->cuMemFree(_pointer);
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}
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nvidia::cuda::cu_device_ptr_t nvidia::cuda::memory::get()
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{
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return _pointer;
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}
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std::size_t nvidia::cuda::memory::size()
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{
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return _size;
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}
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