Spaces:
Running
on
Zero
Running
on
Zero
# Copyright (c) Meta Platforms, Inc. and affiliates. | |
# All rights reserved. | |
# | |
# This source code is licensed under the license found in the | |
# LICENSE file in the root directory of this source tree. | |
"""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 | |
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 | |