mirror of https://github.com/Xaymar/obs-StreamFX
119 lines
4.2 KiB
C++
119 lines
4.2 KiB
C++
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/*
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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.hpp"
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#include <stdexcept>
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#include <util/platform.h>
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#if defined(_WIN32) || defined(_WIN64)
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#define CUDA_NAME "nvcuda.dll"
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#else
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#define CUDA_NAME "libcuda.so.1"
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#endif
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#define CUDA_LOAD_SYMBOL(NAME) \
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{ \
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NAME = static_cast<decltype(NAME)>(os_dlsym(_library, #NAME)); \
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if (!NAME) \
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throw std::runtime_error("Failed to load '" #NAME "' from '" CUDA_NAME "'."); \
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}
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#define CUDA_LOAD_SYMBOL_V2(NAME) \
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{ \
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NAME = static_cast<decltype(NAME)>(os_dlsym(_library, #NAME "_v2")); \
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if (!NAME) \
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throw std::runtime_error("Failed to load '" #NAME "' from '" CUDA_NAME "'."); \
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}
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#define CUDA_LOAD_SYMBOL_EX(NAME, OVERRIDE) \
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{ \
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NAME = static_cast<decltype(NAME)>(os_dlsym(_library, #OVERRIDE)); \
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if (!NAME) \
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throw std::runtime_error("Failed to load '" #NAME "' from '" CUDA_NAME "'."); \
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}
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nvidia::cuda::cuda::cuda()
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{
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_library = os_dlopen(CUDA_NAME);
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if (!_library)
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throw std::runtime_error("Failed to load '" CUDA_NAME "'.");
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// Initialization
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CUDA_LOAD_SYMBOL(cuInit);
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// Version Management
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CUDA_LOAD_SYMBOL(cuDriverGetVersion);
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// Primary Context Management
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CUDA_LOAD_SYMBOL(cuDevicePrimaryCtxRetain);
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CUDA_LOAD_SYMBOL_V2(cuDevicePrimaryCtxRelease);
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// Context Management
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CUDA_LOAD_SYMBOL_V2(cuCtxDestroy);
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CUDA_LOAD_SYMBOL(cuCtxGetCurrent);
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CUDA_LOAD_SYMBOL_V2(cuCtxPopCurrent);
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CUDA_LOAD_SYMBOL_V2(cuCtxPushCurrent);
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CUDA_LOAD_SYMBOL(cuCtxSetCurrent);
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// Memory Management
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CUDA_LOAD_SYMBOL_V2(cuArrayGetDescriptor);
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CUDA_LOAD_SYMBOL_V2(cuMemAlloc);
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CUDA_LOAD_SYMBOL_V2(cuMemAllocPitch);
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CUDA_LOAD_SYMBOL_V2(cuMemFree);
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CUDA_LOAD_SYMBOL_V2(cuMemHostGetDevicePointer);
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CUDA_LOAD_SYMBOL(cuMemcpy);
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CUDA_LOAD_SYMBOL_V2(cuMemcpy2D);
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CUDA_LOAD_SYMBOL_V2(cuMemcpy2DAsync);
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CUDA_LOAD_SYMBOL_V2(cuMemcpyAtoA);
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CUDA_LOAD_SYMBOL_V2(cuMemcpyAtoD);
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CUDA_LOAD_SYMBOL_V2(cuMemcpyAtoH);
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CUDA_LOAD_SYMBOL_V2(cuMemcpyAtoHAsync);
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CUDA_LOAD_SYMBOL_V2(cuMemcpyDtoA);
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CUDA_LOAD_SYMBOL_V2(cuMemcpyDtoD);
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CUDA_LOAD_SYMBOL_V2(cuMemcpyDtoH);
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CUDA_LOAD_SYMBOL_V2(cuMemcpyDtoHAsync);
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CUDA_LOAD_SYMBOL_V2(cuMemcpyHtoA);
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CUDA_LOAD_SYMBOL_V2(cuMemcpyHtoAAsync);
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CUDA_LOAD_SYMBOL_V2(cuMemcpyHtoD);
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CUDA_LOAD_SYMBOL_V2(cuMemcpyHtoDAsync);
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// Stream Managment
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CUDA_LOAD_SYMBOL(cuStreamCreate);
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CUDA_LOAD_SYMBOL_V2(cuStreamDestroy);
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CUDA_LOAD_SYMBOL(cuStreamSynchronize);
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// Graphics Interoperability
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CUDA_LOAD_SYMBOL(cuGraphicsMapResources);
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CUDA_LOAD_SYMBOL(cuGraphicsSubResourceGetMappedArray);
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CUDA_LOAD_SYMBOL(cuGraphicsUnmapResources);
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CUDA_LOAD_SYMBOL(cuGraphicsUnregisterResource);
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#ifdef WIN32
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// Direct3D11 Interopability
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CUDA_LOAD_SYMBOL(cuD3D11GetDevice);
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CUDA_LOAD_SYMBOL(cuGraphicsD3D11RegisterResource);
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#endif
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// Initialize CUDA
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cuInit(0);
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}
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nvidia::cuda::cuda::~cuda()
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{
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os_dlclose(_library);
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}
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