mmcv.utils.env 源代码
# 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 torch
from mmengine.utils.dl_utils import collect_env as mmengine_collect_env
import mmcv
[文档]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.
- MSVC: Microsoft Virtual C++ Compiler version, Windows only.
- PyTorch: PyTorch version.
- PyTorch compiling details: The output of \
``torch.__config__.show()``.
- TorchVision (optional): TorchVision version.
- OpenCV: OpenCV version.
- MMEngine: MMEngine 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 = mmengine_collect_env()
# MMEngine does not add the hipcc compiler information when collecting
# environment information, so it is added here. When MMEngine v0.3.0 is
# released, the code here can be removed.
cuda_available = torch.cuda.is_available()
if cuda_available and env_info.get('NVCC') == 'Not Available':
CUDA_HOME = env_info['CUDA_HOME']
if CUDA_HOME is not None and osp.isdir(CUDA_HOME):
if CUDA_HOME == '/opt/rocm':
try:
nvcc = osp.join(CUDA_HOME, 'hip/bin/hipcc')
nvcc = subprocess.check_output(
f'"{nvcc}" --version', shell=True)
nvcc = nvcc.decode('utf-8').strip()
release = nvcc.rfind('HIP version:')
build = nvcc.rfind('')
nvcc = nvcc[release:build].strip()
except subprocess.SubprocessError:
nvcc = 'Not Available'
else:
try:
nvcc = osp.join(CUDA_HOME, 'bin/nvcc')
nvcc = subprocess.check_output(f'"{nvcc}" -V', shell=True)
nvcc = nvcc.decode('utf-8').strip()
release = nvcc.rfind('Cuda compilation tools')
build = nvcc.rfind('Build ')
nvcc = nvcc[release:build].strip()
except subprocess.SubprocessError:
nvcc = 'Not Available'
env_info['NVCC'] = nvcc
env_info['MMCV'] = mmcv.__version__
try:
from 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