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# 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