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| # Copyright (c) OpenMMLab. All rights reserved. | |
| """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.mmpkg.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.mmpkg.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: # gcc is unavailable | |
| 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.mmpkg.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 | |