etc/obs-StreamFX
0
0
Fork 0
mirror of https://github.com/Xaymar/obs-StreamFX synced 2024-11-11 06:15:05 +00:00
Code Issues Projects Releases Packages Wiki Activity
obs-StreamFX/source/nvidia/cuda/nvidia-cuda.cpp
Michael Fabian 'Xaymar' Dirks 84a7685d7b nvidia/cv: Add NVIDIA Computer Vision wrapper
2023-04-05 18:51:08 +02:00

262 lines
8.9 KiB
C++
Raw Blame History

/*
* 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
*/
#include "nvidia-cuda.hpp"
#include <mutex>
#include "util/util-logging.hpp"
#ifdef _DEBUG
#define ST_PREFIX "<%s> "
#define D_LOG_ERROR(x, ...) P_LOG_ERROR(ST_PREFIX##x, __FUNCTION_SIG__, __VA_ARGS__)
#define D_LOG_WARNING(x, ...) P_LOG_WARN(ST_PREFIX##x, __FUNCTION_SIG__, __VA_ARGS__)
#define D_LOG_INFO(x, ...) P_LOG_INFO(ST_PREFIX##x, __FUNCTION_SIG__, __VA_ARGS__)
#define D_LOG_DEBUG(x, ...) P_LOG_DEBUG(ST_PREFIX##x, __FUNCTION_SIG__, __VA_ARGS__)
#else
#define ST_PREFIX "<nvidia::cuda::cuda> "
#define D_LOG_ERROR(...) P_LOG_ERROR(ST_PREFIX __VA_ARGS__)
#define D_LOG_WARNING(...) P_LOG_WARN(ST_PREFIX __VA_ARGS__)
#define D_LOG_INFO(...) P_LOG_INFO(ST_PREFIX __VA_ARGS__)
#define D_LOG_DEBUG(...) P_LOG_DEBUG(ST_PREFIX __VA_ARGS__)
#endif
#if defined(_WIN32) || defined(_WIN64)
#define ST_CUDA_NAME "nvcuda.dll"
#else
#define ST_CUDA_NAME "libcuda.so.1"
#endif
#define P_CUDA_LOAD_SYMBOL(NAME) \
{ \
NAME = reinterpret_cast<decltype(NAME)>(_library->load_symbol(#NAME)); \
if (!NAME) \
throw std::runtime_error("Failed to load '" #NAME "' from '" ST_CUDA_NAME "'."); \
}
#define P_CUDA_LOAD_SYMBOL_OPT(NAME) \
{ \
NAME = reinterpret_cast<decltype(NAME)>(_library->load_symbol(#NAME)); \
if (!NAME) \
D_LOG_WARNING("Loading of optional symbol '" #NAME "' failed.", 0); \
}
#define P_CUDA_LOAD_SYMBOL_EX(NAME, OVERRIDE) \
{ \
NAME = reinterpret_cast<decltype(NAME)>(_library->load_symbol(#OVERRIDE)); \
if (!NAME) \
throw std::runtime_error("Failed to load '" #NAME "' from '" ST_CUDA_NAME "'."); \
}
#define P_CUDA_LOAD_SYMBOL_OPT_EX(NAME, OVERRIDE) \
{ \
NAME = reinterpret_cast<decltype(NAME)>(_library->load_symbol(#OVERRIDE)); \
if (!NAME) \
D_LOG_WARNING("Loading of optional symbol '" #NAME "' failed.", 0); \
}
#define P_CUDA_LOAD_SYMBOL_V2(NAME) \
{ \
NAME = reinterpret_cast<decltype(NAME)>(_library->load_symbol(#NAME "_v2")); \
if (!NAME) \
throw std::runtime_error("Failed to load '" #NAME "' from '" ST_CUDA_NAME "'."); \
}
#define P_CUDA_LOAD_SYMBOL_OPT_V2(NAME) \
{ \
NAME = reinterpret_cast<decltype(NAME)>(_library->load_symbol(#NAME "_v2")); \
if (!NAME) \
D_LOG_WARNING("Loading of optional symbol '" #NAME "' failed.", 0); \
}
streamfx::nvidia::cuda::cuda::~cuda()
{
D_LOG_DEBUG("Finalizing... (Addr: 0x%" PRIuPTR ")", this);
}
streamfx::nvidia::cuda::cuda::cuda() : _library()
{
int32_t cuda_version = 0;
D_LOG_DEBUG("Initializing... (Addr: 0x%" PRIuPTR ")", this);
_library = streamfx::util::library::load(std::string_view(ST_CUDA_NAME));
{ // 1. Load critical initialization functions.
// Initialization
P_CUDA_LOAD_SYMBOL(cuInit);
// Version Management
P_CUDA_LOAD_SYMBOL(cuDriverGetVersion);
}
{ // 2. Get the CUDA Driver version and log it.
if (cuDriverGetVersion(&cuda_version) == result::SUCCESS) {
int32_t major = cuda_version / 1000;
int32_t minor = (cuda_version % 1000) / 10;
int32_t patch = (cuda_version % 10);
D_LOG_INFO("Driver reported CUDA version: %" PRId32 ".%" PRId32 ".%" PRId32, major, minor, patch);
} else {
D_LOG_WARNING("Failed to query NVIDIA CUDA Driver for version.", 0);
}
}
{ // 3. Load remaining functions.
// Device Management
P_CUDA_LOAD_SYMBOL(cuDeviceGetName);
P_CUDA_LOAD_SYMBOL(cuDeviceGetLuid);
P_CUDA_LOAD_SYMBOL(cuDeviceGetUuid);
// Primary Context Management
P_CUDA_LOAD_SYMBOL(cuDevicePrimaryCtxRetain);
P_CUDA_LOAD_SYMBOL_V2(cuDevicePrimaryCtxRelease);
P_CUDA_LOAD_SYMBOL_OPT_V2(cuDevicePrimaryCtxSetFlags);
// Context Management
P_CUDA_LOAD_SYMBOL_V2(cuCtxCreate);
P_CUDA_LOAD_SYMBOL_V2(cuCtxDestroy);
P_CUDA_LOAD_SYMBOL_V2(cuCtxPushCurrent);
P_CUDA_LOAD_SYMBOL_V2(cuCtxPopCurrent);
P_CUDA_LOAD_SYMBOL_OPT(cuCtxGetCurrent);
P_CUDA_LOAD_SYMBOL_OPT(cuCtxSetCurrent);
P_CUDA_LOAD_SYMBOL(cuCtxGetStreamPriorityRange);
P_CUDA_LOAD_SYMBOL(cuCtxSynchronize);
// Module Management
// - Not yet needed.
// Memory Management
P_CUDA_LOAD_SYMBOL_V2(cuMemAlloc);
P_CUDA_LOAD_SYMBOL_V2(cuMemAllocPitch);
P_CUDA_LOAD_SYMBOL_V2(cuMemFree);
P_CUDA_LOAD_SYMBOL(cuMemcpy);
P_CUDA_LOAD_SYMBOL_V2(cuMemcpy2D);
P_CUDA_LOAD_SYMBOL_V2(cuMemcpy2DAsync);
P_CUDA_LOAD_SYMBOL_OPT_V2(cuArrayGetDescriptor);
P_CUDA_LOAD_SYMBOL_OPT_V2(cuMemcpyAtoA);
P_CUDA_LOAD_SYMBOL_OPT_V2(cuMemcpyAtoD);
P_CUDA_LOAD_SYMBOL_OPT_V2(cuMemcpyAtoH);
P_CUDA_LOAD_SYMBOL_OPT_V2(cuMemcpyAtoHAsync);
P_CUDA_LOAD_SYMBOL_OPT_V2(cuMemcpyDtoA);
P_CUDA_LOAD_SYMBOL_OPT_V2(cuMemcpyDtoD);
P_CUDA_LOAD_SYMBOL_OPT_V2(cuMemcpyDtoH);
P_CUDA_LOAD_SYMBOL_OPT_V2(cuMemcpyDtoHAsync);
P_CUDA_LOAD_SYMBOL_OPT_V2(cuMemcpyHtoA);
P_CUDA_LOAD_SYMBOL_OPT_V2(cuMemcpyHtoAAsync);
P_CUDA_LOAD_SYMBOL_OPT_V2(cuMemcpyHtoD);
P_CUDA_LOAD_SYMBOL_OPT_V2(cuMemcpyHtoDAsync);
P_CUDA_LOAD_SYMBOL_OPT_V2(cuMemHostGetDevicePointer);
// Virtual Memory Management
// - Not yet needed.
// Stream Ordered Memory Allocator
// - Not yet needed.
// Unified Addressing
// - Not yet needed.
// Stream Management
P_CUDA_LOAD_SYMBOL(cuStreamCreate);
P_CUDA_LOAD_SYMBOL_V2(cuStreamDestroy);
P_CUDA_LOAD_SYMBOL(cuStreamSynchronize);
P_CUDA_LOAD_SYMBOL_OPT(cuStreamCreateWithPriority);
P_CUDA_LOAD_SYMBOL_OPT(cuStreamGetPriority);
// Event Management
// - Not yet needed.
// External Resource Interoperability (CUDA 11.1+)
// - Not yet needed.
// Stream Memory Operations
// - Not yet needed.
// Execution Control
// - Not yet needed.
// Graph Management
// - Not yet needed.
// Occupancy
// - Not yet needed.
// Texture Object Management
// - Not yet needed.
// Surface Object Management
// - Not yet needed.
// Peer Context Memory Access
// - Not yet needed.
// Graphics Interoperability
P_CUDA_LOAD_SYMBOL(cuGraphicsMapResources);
P_CUDA_LOAD_SYMBOL(cuGraphicsSubResourceGetMappedArray);
P_CUDA_LOAD_SYMBOL(cuGraphicsUnmapResources);
P_CUDA_LOAD_SYMBOL(cuGraphicsUnregisterResource);
// Driver Entry Point Access
// - Not yet needed.
// Profiler Control
// - Not yet needed.
// OpenGL Interoperability
// - Not yet needed.
// VDPAU Interoperability
// - Not yet needed.
// EGL Interoperability
// - Not yet needed.
#ifdef WIN32
// Direct3D9 Interoperability
// - Not yet needed.
// Direct3D10 Interoperability
P_CUDA_LOAD_SYMBOL(cuD3D10GetDevice);
P_CUDA_LOAD_SYMBOL_OPT(cuGraphicsD3D10RegisterResource);
// Direct3D11 Interoperability
P_CUDA_LOAD_SYMBOL(cuD3D11GetDevice);
P_CUDA_LOAD_SYMBOL_OPT(cuGraphicsD3D11RegisterResource);
#endif
}
// Initialize CUDA
cuInit(0);
}
int32_t streamfx::nvidia::cuda::cuda::version()
{
int32_t v = 0;
cuDriverGetVersion(&v);
return v;
}
std::shared_ptr<streamfx::nvidia::cuda::cuda> streamfx::nvidia::cuda::cuda::get()
{
static std::weak_ptr<streamfx::nvidia::cuda::cuda> instance;
static std::mutex lock;
std::unique_lock<std::mutex> ul(lock);
if (instance.expired()) {
auto hard_instance = std::make_shared<streamfx::nvidia::cuda::cuda>();
instance = hard_instance;
return hard_instance;
}
return instance.lock();
}
Reference in a new issue View git blame Copy permalink