71 lines
2.2 KiB
Python
71 lines
2.2 KiB
Python
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 get_build_config, get_git_hash
|
|
|
|
import mmseg
|
|
|
|
|
|
def collect_env():
|
|
"""Collect the information of the running environments."""
|
|
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:
|
|
from mmcv.utils.parrots_wrapper import 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(
|
|
'"{}" -V | tail -n1'.format(nvcc), shell=True)
|
|
nvcc = nvcc.decode('utf-8').strip()
|
|
except subprocess.SubprocessError:
|
|
nvcc = 'Not Available'
|
|
env_info['NVCC'] = nvcc
|
|
|
|
devices = defaultdict(list)
|
|
for k in range(torch.cuda.device_count()):
|
|
devices[torch.cuda.get_device_name(k)].append(str(k))
|
|
for name, devids in devices.items():
|
|
env_info['GPU ' + ','.join(devids)] = name
|
|
|
|
gcc = subprocess.check_output('gcc --version | head -n1', shell=True)
|
|
gcc = gcc.decode('utf-8').strip()
|
|
env_info['GCC'] = gcc
|
|
|
|
env_info['PyTorch'] = torch.__version__
|
|
env_info['PyTorch compiling details'] = get_build_config()
|
|
|
|
env_info['TorchVision'] = torchvision.__version__
|
|
|
|
env_info['OpenCV'] = cv2.__version__
|
|
|
|
env_info['MMCV'] = mmcv.__version__
|
|
env_info['MMSegmentation'] = f'{mmseg.__version__}+{get_git_hash()[:7]}'
|
|
try:
|
|
from mmcv.ops import get_compiler_version, get_compiling_cuda_version
|
|
env_info['MMCV Compiler'] = get_compiler_version()
|
|
env_info['MMCV CUDA Compiler'] = get_compiling_cuda_version()
|
|
except ImportError:
|
|
env_info['MMCV Compiler'] = 'n/a'
|
|
env_info['MMCV CUDA Compiler'] = 'n/a'
|
|
|
|
return env_info
|
|
|
|
|
|
if __name__ == '__main__':
|
|
for name, val in collect_env().items():
|
|
print('{}: {}'.format(name, val))
|