| |
| """This file holding some environment constant for sharing by other files.""" |
|
|
| import os.path as osp |
| import subprocess |
| import sys |
| from collections import defaultdict |
|
|
| import cv2 |
| import torch |
|
|
| import annotator.uniformer.mmcv as mmcv |
| from .parrots_wrapper import get_build_config |
|
|
|
|
| def collect_env(): |
| """Collect the information of the running environments. |
| |
| Returns: |
| dict: The environment information. The following fields are contained. |
| |
| - sys.platform: The variable of ``sys.platform``. |
| - Python: Python version. |
| - CUDA available: Bool, indicating if CUDA is available. |
| - GPU devices: Device type of each GPU. |
| - CUDA_HOME (optional): The env var ``CUDA_HOME``. |
| - NVCC (optional): NVCC version. |
| - GCC: GCC version, "n/a" if GCC is not installed. |
| - PyTorch: PyTorch version. |
| - PyTorch compiling details: The output of \ |
| ``torch.__config__.show()``. |
| - TorchVision (optional): TorchVision version. |
| - OpenCV: OpenCV version. |
| - MMCV: MMCV version. |
| - MMCV Compiler: The GCC version for compiling MMCV ops. |
| - MMCV CUDA Compiler: The CUDA version for compiling MMCV ops. |
| """ |
| env_info = {} |
| env_info['sys.platform'] = sys.platform |
| env_info['Python'] = sys.version.replace('\n', '') |
|
|
| cuda_available = torch.cuda.is_available() |
| env_info['CUDA available'] = cuda_available |
|
|
| if cuda_available: |
| devices = defaultdict(list) |
| for k in range(torch.cuda.device_count()): |
| devices[torch.cuda.get_device_name(k)].append(str(k)) |
| for name, device_ids in devices.items(): |
| env_info['GPU ' + ','.join(device_ids)] = name |
|
|
| from annotator.uniformer.mmcv.utils.parrots_wrapper import _get_cuda_home |
| CUDA_HOME = _get_cuda_home() |
| env_info['CUDA_HOME'] = CUDA_HOME |
|
|
| if CUDA_HOME is not None and osp.isdir(CUDA_HOME): |
| try: |
| nvcc = osp.join(CUDA_HOME, 'bin/nvcc') |
| nvcc = subprocess.check_output( |
| f'"{nvcc}" -V | tail -n1', shell=True) |
| nvcc = nvcc.decode('utf-8').strip() |
| except subprocess.SubprocessError: |
| nvcc = 'Not Available' |
| env_info['NVCC'] = nvcc |
|
|
| try: |
| gcc = subprocess.check_output('gcc --version | head -n1', shell=True) |
| gcc = gcc.decode('utf-8').strip() |
| env_info['GCC'] = gcc |
| except subprocess.CalledProcessError: |
| env_info['GCC'] = 'n/a' |
|
|
| env_info['PyTorch'] = torch.__version__ |
| env_info['PyTorch compiling details'] = get_build_config() |
|
|
| try: |
| import torchvision |
| env_info['TorchVision'] = torchvision.__version__ |
| except ModuleNotFoundError: |
| pass |
|
|
| env_info['OpenCV'] = cv2.__version__ |
|
|
| env_info['MMCV'] = mmcv.__version__ |
|
|
| try: |
| from annotator.uniformer.mmcv.ops import get_compiler_version, get_compiling_cuda_version |
| except ModuleNotFoundError: |
| env_info['MMCV Compiler'] = 'n/a' |
| env_info['MMCV CUDA Compiler'] = 'n/a' |
| else: |
| env_info['MMCV Compiler'] = get_compiler_version() |
| env_info['MMCV CUDA Compiler'] = get_compiling_cuda_version() |
|
|
| return env_info |
|
|
