mirror of
https://github.com/Xaymar/obs-StreamFX
synced 2024-12-04 17:17:25 +00:00
66 lines
2.2 KiB
C++
66 lines
2.2 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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#include "util/util-logging.hpp"
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#ifdef _DEBUG
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#define ST_PREFIX "<%s> "
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#define D_LOG_ERROR(x, ...) P_LOG_ERROR(ST_PREFIX##x, __FUNCTION_SIG__, __VA_ARGS__)
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#define D_LOG_WARNING(x, ...) P_LOG_WARN(ST_PREFIX##x, __FUNCTION_SIG__, __VA_ARGS__)
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#define D_LOG_INFO(x, ...) P_LOG_INFO(ST_PREFIX##x, __FUNCTION_SIG__, __VA_ARGS__)
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#define D_LOG_DEBUG(x, ...) P_LOG_DEBUG(ST_PREFIX##x, __FUNCTION_SIG__, __VA_ARGS__)
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#else
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#define ST_PREFIX "<nvidia::cuda::memory> "
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#define D_LOG_ERROR(...) P_LOG_ERROR(ST_PREFIX __VA_ARGS__)
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#define D_LOG_WARNING(...) P_LOG_WARN(ST_PREFIX __VA_ARGS__)
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#define D_LOG_INFO(...) P_LOG_INFO(ST_PREFIX __VA_ARGS__)
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#define D_LOG_DEBUG(...) P_LOG_DEBUG(ST_PREFIX __VA_ARGS__)
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#endif
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nvidia::cuda::memory::~memory()
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{
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D_LOG_DEBUG("Finalizing... (Addr: 0x%" PRIuPTR ")", this);
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_cuda->cuMemFree(_pointer);
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}
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nvidia::cuda::memory::memory(size_t size) : _cuda(::nvidia::cuda::cuda::get()), _pointer(), _size(size)
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{
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D_LOG_DEBUG("Initializating... (Addr: 0x%" PRIuPTR ")", this);
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::nvidia::cuda::result res = _cuda->cuMemAlloc(&_pointer, _size);
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switch (res) {
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case ::nvidia::cuda::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::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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