|
1 | | -import os.path as osp |
2 | | -import subprocess |
3 | | -import sys |
4 | | -from collections import defaultdict |
5 | | - |
6 | | -import cv2 |
7 | | -import mmcv |
8 | | -import torch |
9 | | -import torchvision |
10 | | -from mmcv.utils import get_build_config, get_git_hash |
| 1 | +from mmcv.utils import collect_env as collect_base_env |
| 2 | +from mmcv.utils import get_git_hash |
11 | 3 |
|
12 | 4 | import mmseg |
13 | 5 |
|
14 | 6 |
|
15 | 7 | def collect_env(): |
16 | 8 | """Collect the information of the running environments.""" |
17 | | - env_info = {} |
18 | | - env_info['sys.platform'] = sys.platform |
19 | | - env_info['Python'] = sys.version.replace('\n', '') |
20 | | - |
21 | | - cuda_available = torch.cuda.is_available() |
22 | | - env_info['CUDA available'] = cuda_available |
23 | | - |
24 | | - if cuda_available: |
25 | | - from mmcv.utils.parrots_wrapper import CUDA_HOME |
26 | | - env_info['CUDA_HOME'] = CUDA_HOME |
27 | | - |
28 | | - if CUDA_HOME is not None and osp.isdir(CUDA_HOME): |
29 | | - try: |
30 | | - nvcc = osp.join(CUDA_HOME, 'bin/nvcc') |
31 | | - nvcc = subprocess.check_output( |
32 | | - '"{}" -V | tail -n1'.format(nvcc), shell=True) |
33 | | - nvcc = nvcc.decode('utf-8').strip() |
34 | | - except subprocess.SubprocessError: |
35 | | - nvcc = 'Not Available' |
36 | | - env_info['NVCC'] = nvcc |
37 | | - |
38 | | - devices = defaultdict(list) |
39 | | - for k in range(torch.cuda.device_count()): |
40 | | - devices[torch.cuda.get_device_name(k)].append(str(k)) |
41 | | - for name, devids in devices.items(): |
42 | | - env_info['GPU ' + ','.join(devids)] = name |
43 | | - try: |
44 | | - gcc = subprocess.check_output('gcc --version | head -n1', shell=True) |
45 | | - gcc = gcc.decode('utf-8').strip() |
46 | | - env_info['GCC'] = gcc |
47 | | - except subprocess.CalledProcessError: |
48 | | - env_info['GCC'] = 'n/a' |
49 | | - |
50 | | - env_info['PyTorch'] = torch.__version__ |
51 | | - env_info['PyTorch compiling details'] = get_build_config() |
52 | | - |
53 | | - env_info['TorchVision'] = torchvision.__version__ |
54 | | - |
55 | | - env_info['OpenCV'] = cv2.__version__ |
56 | | - |
57 | | - env_info['MMCV'] = mmcv.__version__ |
| 9 | + env_info = collect_base_env() |
58 | 10 | env_info['MMSegmentation'] = f'{mmseg.__version__}+{get_git_hash()[:7]}' |
59 | | - try: |
60 | | - from mmcv.ops import get_compiler_version, get_compiling_cuda_version |
61 | | - env_info['MMCV Compiler'] = get_compiler_version() |
62 | | - env_info['MMCV CUDA Compiler'] = get_compiling_cuda_version() |
63 | | - except ImportError: |
64 | | - env_info['MMCV Compiler'] = 'n/a' |
65 | | - env_info['MMCV CUDA Compiler'] = 'n/a' |
66 | 11 |
|
67 | 12 | return env_info |
68 | 13 |
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