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:
if mmcv.__version__ < '1.3.11':
from mmcv.utils.parrots_wrapper import CUDA_HOME
else:
from 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(
'"{}" -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 devname, devids in devices.items():
env_info['GPU ' + ','.join(devids)] = devname
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['MMGen'] = f'{ mmgen.__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
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__
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 torch.utils.cpp_extension 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(
f'"{nvcc}" -V | tail -n1', 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['MMDetection'] = mmdet.__version__,
from mmcv.ops import get_compiler_version, get_compiling_cuda_version
env_info['MMDetection Compiler'] = get_compiler_version()
env_info['MMDetection CUDA Compiler'] = get_compiling_cuda_version()
return env_info
