diff options
author | Brecht Van Lommel <brecht@blender.org> | 2021-09-20 18:59:20 +0300 |
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committer | Brecht Van Lommel <brecht@blender.org> | 2021-09-21 15:55:54 +0300 |
commit | 08031197250aeecbaca3803254e6f25b8c7b7b37 (patch) | |
tree | 6fe7ab045f0dc0a423d6557c4073f34309ef4740 /intern/cycles/device/cuda/device.cpp | |
parent | fa6b1007bad065440950cd67deb16a04f368856f (diff) |
Cycles: merge of cycles-x branch, a major update to the renderer
This includes much improved GPU rendering performance, viewport interactivity,
new shadow catcher, revamped sampling settings, subsurface scattering anisotropy,
new GPU volume sampling, improved PMJ sampling pattern, and more.
Some features have also been removed or changed, breaking backwards compatibility.
Including the removal of the OpenCL backend, for which alternatives are under
development.
Release notes and code docs:
https://wiki.blender.org/wiki/Reference/Release_Notes/3.0/Cycles
https://wiki.blender.org/wiki/Source/Render/Cycles
Credits:
* Sergey Sharybin
* Brecht Van Lommel
* Patrick Mours (OptiX backend)
* Christophe Hery (subsurface scattering anisotropy)
* William Leeson (PMJ sampling pattern)
* Alaska (various fixes and tweaks)
* Thomas Dinges (various fixes)
For the full commit history, see the cycles-x branch. This squashes together
all the changes since intermediate changes would often fail building or tests.
Ref T87839, T87837, T87836
Fixes T90734, T89353, T80267, T80267, T77185, T69800
Diffstat (limited to 'intern/cycles/device/cuda/device.cpp')
-rw-r--r-- | intern/cycles/device/cuda/device.cpp | 340 |
1 files changed, 340 insertions, 0 deletions
diff --git a/intern/cycles/device/cuda/device.cpp b/intern/cycles/device/cuda/device.cpp new file mode 100644 index 00000000000..84becd6d081 --- /dev/null +++ b/intern/cycles/device/cuda/device.cpp @@ -0,0 +1,340 @@ +/* + * Copyright 2011-2013 Blender Foundation + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "device/cuda/device.h" + +#include "util/util_logging.h" + +#ifdef WITH_CUDA +# include "device/cuda/device_impl.h" +# include "device/device.h" + +# include "util/util_string.h" +# include "util/util_windows.h" +#endif /* WITH_CUDA */ + +CCL_NAMESPACE_BEGIN + +bool device_cuda_init() +{ +#if !defined(WITH_CUDA) + return false; +#elif defined(WITH_CUDA_DYNLOAD) + static bool initialized = false; + static bool result = false; + + if (initialized) + return result; + + initialized = true; + int cuew_result = cuewInit(CUEW_INIT_CUDA); + if (cuew_result == CUEW_SUCCESS) { + VLOG(1) << "CUEW initialization succeeded"; + if (CUDADevice::have_precompiled_kernels()) { + VLOG(1) << "Found precompiled kernels"; + result = true; + } + else if (cuewCompilerPath() != NULL) { + VLOG(1) << "Found CUDA compiler " << cuewCompilerPath(); + result = true; + } + else { + VLOG(1) << "Neither precompiled kernels nor CUDA compiler was found," + << " unable to use CUDA"; + } + } + else { + VLOG(1) << "CUEW initialization failed: " + << ((cuew_result == CUEW_ERROR_ATEXIT_FAILED) ? "Error setting up atexit() handler" : + "Error opening the library"); + } + + return result; +#else /* WITH_CUDA_DYNLOAD */ + return true; +#endif /* WITH_CUDA_DYNLOAD */ +} + +Device *device_cuda_create(const DeviceInfo &info, Stats &stats, Profiler &profiler) +{ +#ifdef WITH_CUDA + return new CUDADevice(info, stats, profiler); +#else + (void)info; + (void)stats; + (void)profiler; + + LOG(FATAL) << "Request to create CUDA device without compiled-in support. Should never happen."; + + return nullptr; +#endif +} + +#ifdef WITH_CUDA +static CUresult device_cuda_safe_init() +{ +# ifdef _WIN32 + __try { + return cuInit(0); + } + __except (EXCEPTION_EXECUTE_HANDLER) { + /* Ignore crashes inside the CUDA driver and hope we can + * survive even with corrupted CUDA installs. */ + fprintf(stderr, "Cycles CUDA: driver crashed, continuing without CUDA.\n"); + } + + return CUDA_ERROR_NO_DEVICE; +# else + return cuInit(0); +# endif +} +#endif /* WITH_CUDA */ + +void device_cuda_info(vector<DeviceInfo> &devices) +{ +#ifdef WITH_CUDA + CUresult result = device_cuda_safe_init(); + if (result != CUDA_SUCCESS) { + if (result != CUDA_ERROR_NO_DEVICE) + fprintf(stderr, "CUDA cuInit: %s\n", cuewErrorString(result)); + return; + } + + int count = 0; + result = cuDeviceGetCount(&count); + if (result != CUDA_SUCCESS) { + fprintf(stderr, "CUDA cuDeviceGetCount: %s\n", cuewErrorString(result)); + return; + } + + vector<DeviceInfo> display_devices; + + for (int num = 0; num < count; num++) { + char name[256]; + + result = cuDeviceGetName(name, 256, num); + if (result != CUDA_SUCCESS) { + fprintf(stderr, "CUDA cuDeviceGetName: %s\n", cuewErrorString(result)); + continue; + } + + int major; + cuDeviceGetAttribute(&major, CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR, num); + if (major < 3) { + VLOG(1) << "Ignoring device \"" << name << "\", this graphics card is no longer supported."; + continue; + } + + DeviceInfo info; + + info.type = DEVICE_CUDA; + info.description = string(name); + info.num = num; + + info.has_half_images = (major >= 3); + info.has_nanovdb = true; + info.denoisers = 0; + + info.has_gpu_queue = true; + + /* Check if the device has P2P access to any other device in the system. */ + for (int peer_num = 0; peer_num < count && !info.has_peer_memory; peer_num++) { + if (num != peer_num) { + int can_access = 0; + cuDeviceCanAccessPeer(&can_access, num, peer_num); + info.has_peer_memory = (can_access != 0); + } + } + + int pci_location[3] = {0, 0, 0}; + cuDeviceGetAttribute(&pci_location[0], CU_DEVICE_ATTRIBUTE_PCI_DOMAIN_ID, num); + cuDeviceGetAttribute(&pci_location[1], CU_DEVICE_ATTRIBUTE_PCI_BUS_ID, num); + cuDeviceGetAttribute(&pci_location[2], CU_DEVICE_ATTRIBUTE_PCI_DEVICE_ID, num); + info.id = string_printf("CUDA_%s_%04x:%02x:%02x", + name, + (unsigned int)pci_location[0], + (unsigned int)pci_location[1], + (unsigned int)pci_location[2]); + + /* If device has a kernel timeout and no compute preemption, we assume + * it is connected to a display and will freeze the display while doing + * computations. */ + int timeout_attr = 0, preempt_attr = 0; + cuDeviceGetAttribute(&timeout_attr, CU_DEVICE_ATTRIBUTE_KERNEL_EXEC_TIMEOUT, num); + cuDeviceGetAttribute(&preempt_attr, CU_DEVICE_ATTRIBUTE_COMPUTE_PREEMPTION_SUPPORTED, num); + + /* The CUDA driver reports compute preemption as not being available on + * Windows 10 even when it is, due to an issue in application profiles. + * Detect case where we expect it to be available and override. */ + if (preempt_attr == 0 && (major >= 6) && system_windows_version_at_least(10, 17134)) { + VLOG(1) << "Assuming device has compute preemption on Windows 10."; + preempt_attr = 1; + } + + if (timeout_attr && !preempt_attr) { + VLOG(1) << "Device is recognized as display."; + info.description += " (Display)"; + info.display_device = true; + display_devices.push_back(info); + } + else { + VLOG(1) << "Device has compute preemption or is not used for display."; + devices.push_back(info); + } + VLOG(1) << "Added device \"" << name << "\" with id \"" << info.id << "\"."; + } + + if (!display_devices.empty()) + devices.insert(devices.end(), display_devices.begin(), display_devices.end()); +#else /* WITH_CUDA */ + (void)devices; +#endif /* WITH_CUDA */ +} + +string device_cuda_capabilities() +{ +#ifdef WITH_CUDA + CUresult result = device_cuda_safe_init(); + if (result != CUDA_SUCCESS) { + if (result != CUDA_ERROR_NO_DEVICE) { + return string("Error initializing CUDA: ") + cuewErrorString(result); + } + return "No CUDA device found\n"; + } + + int count; + result = cuDeviceGetCount(&count); + if (result != CUDA_SUCCESS) { + return string("Error getting devices: ") + cuewErrorString(result); + } + + string capabilities = ""; + for (int num = 0; num < count; num++) { + char name[256]; + if (cuDeviceGetName(name, 256, num) != CUDA_SUCCESS) { + continue; + } + capabilities += string("\t") + name + "\n"; + int value; +# define GET_ATTR(attr) \ + { \ + if (cuDeviceGetAttribute(&value, CU_DEVICE_ATTRIBUTE_##attr, num) == CUDA_SUCCESS) { \ + capabilities += string_printf("\t\tCU_DEVICE_ATTRIBUTE_" #attr "\t\t\t%d\n", value); \ + } \ + } \ + (void)0 + /* TODO(sergey): Strip all attributes which are not useful for us + * or does not depend on the driver. + */ + GET_ATTR(MAX_THREADS_PER_BLOCK); + GET_ATTR(MAX_BLOCK_DIM_X); + GET_ATTR(MAX_BLOCK_DIM_Y); + GET_ATTR(MAX_BLOCK_DIM_Z); + GET_ATTR(MAX_GRID_DIM_X); + GET_ATTR(MAX_GRID_DIM_Y); + GET_ATTR(MAX_GRID_DIM_Z); + GET_ATTR(MAX_SHARED_MEMORY_PER_BLOCK); + GET_ATTR(SHARED_MEMORY_PER_BLOCK); + GET_ATTR(TOTAL_CONSTANT_MEMORY); + GET_ATTR(WARP_SIZE); + GET_ATTR(MAX_PITCH); + GET_ATTR(MAX_REGISTERS_PER_BLOCK); + GET_ATTR(REGISTERS_PER_BLOCK); + GET_ATTR(CLOCK_RATE); + GET_ATTR(TEXTURE_ALIGNMENT); + GET_ATTR(GPU_OVERLAP); + GET_ATTR(MULTIPROCESSOR_COUNT); + GET_ATTR(KERNEL_EXEC_TIMEOUT); + GET_ATTR(INTEGRATED); + GET_ATTR(CAN_MAP_HOST_MEMORY); + GET_ATTR(COMPUTE_MODE); + GET_ATTR(MAXIMUM_TEXTURE1D_WIDTH); + GET_ATTR(MAXIMUM_TEXTURE2D_WIDTH); + GET_ATTR(MAXIMUM_TEXTURE2D_HEIGHT); + GET_ATTR(MAXIMUM_TEXTURE3D_WIDTH); + GET_ATTR(MAXIMUM_TEXTURE3D_HEIGHT); + GET_ATTR(MAXIMUM_TEXTURE3D_DEPTH); + GET_ATTR(MAXIMUM_TEXTURE2D_LAYERED_WIDTH); + GET_ATTR(MAXIMUM_TEXTURE2D_LAYERED_HEIGHT); + GET_ATTR(MAXIMUM_TEXTURE2D_LAYERED_LAYERS); + GET_ATTR(MAXIMUM_TEXTURE2D_ARRAY_WIDTH); + GET_ATTR(MAXIMUM_TEXTURE2D_ARRAY_HEIGHT); + GET_ATTR(MAXIMUM_TEXTURE2D_ARRAY_NUMSLICES); + GET_ATTR(SURFACE_ALIGNMENT); + GET_ATTR(CONCURRENT_KERNELS); + GET_ATTR(ECC_ENABLED); + GET_ATTR(TCC_DRIVER); + GET_ATTR(MEMORY_CLOCK_RATE); + GET_ATTR(GLOBAL_MEMORY_BUS_WIDTH); + GET_ATTR(L2_CACHE_SIZE); + GET_ATTR(MAX_THREADS_PER_MULTIPROCESSOR); + GET_ATTR(ASYNC_ENGINE_COUNT); + GET_ATTR(UNIFIED_ADDRESSING); + GET_ATTR(MAXIMUM_TEXTURE1D_LAYERED_WIDTH); + GET_ATTR(MAXIMUM_TEXTURE1D_LAYERED_LAYERS); + GET_ATTR(CAN_TEX2D_GATHER); + GET_ATTR(MAXIMUM_TEXTURE2D_GATHER_WIDTH); + GET_ATTR(MAXIMUM_TEXTURE2D_GATHER_HEIGHT); + GET_ATTR(MAXIMUM_TEXTURE3D_WIDTH_ALTERNATE); + GET_ATTR(MAXIMUM_TEXTURE3D_HEIGHT_ALTERNATE); + GET_ATTR(MAXIMUM_TEXTURE3D_DEPTH_ALTERNATE); + GET_ATTR(TEXTURE_PITCH_ALIGNMENT); + GET_ATTR(MAXIMUM_TEXTURECUBEMAP_WIDTH); + GET_ATTR(MAXIMUM_TEXTURECUBEMAP_LAYERED_WIDTH); + GET_ATTR(MAXIMUM_TEXTURECUBEMAP_LAYERED_LAYERS); + GET_ATTR(MAXIMUM_SURFACE1D_WIDTH); + GET_ATTR(MAXIMUM_SURFACE2D_WIDTH); + GET_ATTR(MAXIMUM_SURFACE2D_HEIGHT); + GET_ATTR(MAXIMUM_SURFACE3D_WIDTH); + GET_ATTR(MAXIMUM_SURFACE3D_HEIGHT); + GET_ATTR(MAXIMUM_SURFACE3D_DEPTH); + GET_ATTR(MAXIMUM_SURFACE1D_LAYERED_WIDTH); + GET_ATTR(MAXIMUM_SURFACE1D_LAYERED_LAYERS); + GET_ATTR(MAXIMUM_SURFACE2D_LAYERED_WIDTH); + GET_ATTR(MAXIMUM_SURFACE2D_LAYERED_HEIGHT); + GET_ATTR(MAXIMUM_SURFACE2D_LAYERED_LAYERS); + GET_ATTR(MAXIMUM_SURFACECUBEMAP_WIDTH); + GET_ATTR(MAXIMUM_SURFACECUBEMAP_LAYERED_WIDTH); + GET_ATTR(MAXIMUM_SURFACECUBEMAP_LAYERED_LAYERS); + GET_ATTR(MAXIMUM_TEXTURE1D_LINEAR_WIDTH); + GET_ATTR(MAXIMUM_TEXTURE2D_LINEAR_WIDTH); + GET_ATTR(MAXIMUM_TEXTURE2D_LINEAR_HEIGHT); + GET_ATTR(MAXIMUM_TEXTURE2D_LINEAR_PITCH); + GET_ATTR(MAXIMUM_TEXTURE2D_MIPMAPPED_WIDTH); + GET_ATTR(MAXIMUM_TEXTURE2D_MIPMAPPED_HEIGHT); + GET_ATTR(COMPUTE_CAPABILITY_MAJOR); + GET_ATTR(COMPUTE_CAPABILITY_MINOR); + GET_ATTR(MAXIMUM_TEXTURE1D_MIPMAPPED_WIDTH); + GET_ATTR(STREAM_PRIORITIES_SUPPORTED); + GET_ATTR(GLOBAL_L1_CACHE_SUPPORTED); + GET_ATTR(LOCAL_L1_CACHE_SUPPORTED); + GET_ATTR(MAX_SHARED_MEMORY_PER_MULTIPROCESSOR); + GET_ATTR(MAX_REGISTERS_PER_MULTIPROCESSOR); + GET_ATTR(MANAGED_MEMORY); + GET_ATTR(MULTI_GPU_BOARD); + GET_ATTR(MULTI_GPU_BOARD_GROUP_ID); +# undef GET_ATTR + capabilities += "\n"; + } + + return capabilities; + +#else /* WITH_CUDA */ + return ""; +#endif /* WITH_CUDA */ +} + +CCL_NAMESPACE_END |