mirror of
https://github.com/Xaymar/obs-StreamFX
synced 2024-12-04 17:17:25 +00:00
137 lines
4 KiB
C++
137 lines
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-context.hpp"
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#include <cassert>
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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::context> "
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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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#ifdef WIN32
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#ifdef _MSC_VER
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#pragma warning(push)
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#pragma warning(disable : 4191 4242 4244 4365 4777 4986 5039 5204)
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#endif
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#include <atlutil.h>
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#ifdef _MSC_VER
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#pragma warning(pop)
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#endif
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#endif
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#define ENABLE_STACK_CHECKS
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nvidia::cuda::context::~context()
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{
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D_LOG_DEBUG("Finalizing... (Addr: 0x%" PRIuPTR ")", this);
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if (_has_device) {
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_cuda->cuDevicePrimaryCtxRelease(_device);
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}
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_cuda->cuCtxDestroy(_ctx);
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}
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nvidia::cuda::context::context() : _cuda(::nvidia::cuda::cuda::get()), _ctx(), _has_device(false), _device()
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{
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D_LOG_DEBUG("Initializating... (Addr: 0x%" PRIuPTR ")", this);
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}
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#ifdef WIN32
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nvidia::cuda::context::context(ID3D11Device* device) : context()
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{
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using namespace nvidia::cuda;
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if (!device)
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throw std::invalid_argument("device");
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// Get DXGI Device
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IDXGIDevice* dxgi_device; // Don't use ATL::CComPtr
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device->QueryInterface(__uuidof(IDXGIDevice), (void**)&dxgi_device);
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// Get DXGI Adapter
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ATL::CComPtr<IDXGIAdapter> dxgi_adapter;
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dxgi_device->GetAdapter(&dxgi_adapter);
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// Get Device Index
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if (result res = _cuda->cuD3D11GetDevice(&_device, dxgi_adapter); res != result::SUCCESS) {
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throw std::runtime_error("Failed to get device index for device.");
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}
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// Acquire Context
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if (result res = _cuda->cuDevicePrimaryCtxRetain(&_ctx, _device); res != result::SUCCESS) {
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throw std::runtime_error("Failed to acquire primary device context.");
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}
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_has_device = true;
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}
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#endif
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::nvidia::cuda::context_t nvidia::cuda::context::get()
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{
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return _ctx;
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}
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std::shared_ptr<::nvidia::cuda::context_stack> nvidia::cuda::context::enter()
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{
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return std::make_shared<::nvidia::cuda::context_stack>(shared_from_this());
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}
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void nvidia::cuda::context::push()
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{
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if (auto res = _cuda->cuCtxPushCurrent(_ctx); res != ::nvidia::cuda::result::SUCCESS) {
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throw ::nvidia::cuda::cuda_error(res);
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}
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}
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void nvidia::cuda::context::pop()
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{
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#ifdef ENABLE_STACK_CHECKS
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::nvidia::cuda::context_t ctx;
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if (_cuda->cuCtxGetCurrent(&ctx) == ::nvidia::cuda::result::SUCCESS)
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assert(ctx == _ctx);
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#endif
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assert(_cuda->cuCtxPopCurrent(&ctx) == ::nvidia::cuda::result::SUCCESS);
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}
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void nvidia::cuda::context::synchronize()
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{
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D_LOG_DEBUG("Synchronizing... (Addr: 0x%" PRIuPTR ")", this);
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#ifdef ENABLE_STACK_CHECKS
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::nvidia::cuda::context_t ctx;
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if (_cuda->cuCtxGetCurrent(&ctx) == ::nvidia::cuda::result::SUCCESS)
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assert(ctx == _ctx);
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#endif
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if (auto res = _cuda->cuCtxSynchronize(); res != ::nvidia::cuda::result::SUCCESS) {
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throw ::nvidia::cuda::cuda_error(res);
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}
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}
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