import os.path as osp import subprocess import sys from collections import defaultdict import cv2 import mmcv import torch import torchvision from mmcv.utils import CUDA_HOME, get_build_config import mmaction from mmaction.utils import collect_env def test_collect_env(): env_info = collect_env() target_keys = [ 'sys.platform', 'Python', 'CUDA available', 'GCC', 'PyTorch', 'PyTorch compiling details', 'TorchVision', 'OpenCV', 'MMCV', 'MMAction2' ] cuda_available = torch.cuda.is_available() if cuda_available: cuda_keys = ['CUDA_HOME', 'NVCC'] devices = defaultdict(list) devices_dict = dict() for k in range(torch.cuda.device_count()): devices[torch.cuda.get_device_name(k)].append(str(k)) for name, devids in devices.items(): devices_dict['GPU ' + ','.join(devids)] = name cuda_keys.append('GPU ' + ','.join(devids)) target_keys.extend(cuda_keys) assert set(env_info.keys()) == set(target_keys) assert env_info['sys.platform'] == sys.platform assert env_info['Python'] == sys.version.replace('\n', '') assert env_info['CUDA available'] == cuda_available if cuda_available: assert 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( '"{}" -V | tail -n1'.format(nvcc), shell=True) nvcc = nvcc.decode('utf-8').strip() except subprocess.SubprocessError: nvcc = 'Not Available' assert env_info['NVCC'] == nvcc for k, v in devices_dict.items(): assert env_info[k] == v gcc = subprocess.check_output('gcc --version | head -n1', shell=True) gcc = gcc.decode('utf-8').strip() assert env_info['GCC'] == gcc assert env_info['PyTorch'] == torch.__version__ assert env_info['PyTorch compiling details'] == get_build_config() assert env_info['TorchVision'] == torchvision.__version__ assert env_info['OpenCV'] == cv2.__version__ assert env_info['MMCV'] == mmcv.__version__ assert env_info['MMAction2'] == mmaction.__version__