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"""This file holding some environment constant for sharing by other files."""
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import os.path as osp
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import subprocess
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import sys
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from collections import defaultdict
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import cv2
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import torch
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import annotator.uniformer.mmcv as mmcv
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from .parrots_wrapper import get_build_config
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def collect_env():
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"""Collect the information of the running environments.
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Returns:
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dict: The environment information. The following fields are contained.
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- sys.platform: The variable of ``sys.platform``.
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- Python: Python version.
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- CUDA available: Bool, indicating if CUDA is available.
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- GPU devices: Device type of each GPU.
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- CUDA_HOME (optional): The env var ``CUDA_HOME``.
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- NVCC (optional): NVCC version.
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- GCC: GCC version, "n/a" if GCC is not installed.
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- PyTorch: PyTorch version.
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- PyTorch compiling details: The output of \
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``torch.__config__.show()``.
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- TorchVision (optional): TorchVision version.
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- OpenCV: OpenCV version.
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- MMCV: MMCV version.
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- MMCV Compiler: The GCC version for compiling MMCV ops.
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- MMCV CUDA Compiler: The CUDA version for compiling MMCV ops.
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"""
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env_info = {}
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env_info['sys.platform'] = sys.platform
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env_info['Python'] = sys.version.replace('\n', '')
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cuda_available = torch.cuda.is_available()
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env_info['CUDA available'] = cuda_available
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if cuda_available:
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devices = defaultdict(list)
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for k in range(torch.cuda.device_count()):
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devices[torch.cuda.get_device_name(k)].append(str(k))
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for name, device_ids in devices.items():
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env_info['GPU ' + ','.join(device_ids)] = name
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from annotator.uniformer.mmcv.utils.parrots_wrapper import _get_cuda_home
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CUDA_HOME = _get_cuda_home()
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env_info['CUDA_HOME'] = CUDA_HOME
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if CUDA_HOME is not None and osp.isdir(CUDA_HOME):
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try:
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nvcc = osp.join(CUDA_HOME, 'bin/nvcc')
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nvcc = subprocess.check_output(
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f'"{nvcc}" -V | tail -n1', shell=True)
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nvcc = nvcc.decode('utf-8').strip()
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except subprocess.SubprocessError:
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nvcc = 'Not Available'
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env_info['NVCC'] = nvcc
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try:
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gcc = subprocess.check_output('gcc --version | head -n1', shell=True)
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gcc = gcc.decode('utf-8').strip()
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env_info['GCC'] = gcc
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except subprocess.CalledProcessError:
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env_info['GCC'] = 'n/a'
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env_info['PyTorch'] = torch.__version__
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env_info['PyTorch compiling details'] = get_build_config()
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try:
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import torchvision
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env_info['TorchVision'] = torchvision.__version__
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except ModuleNotFoundError:
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pass
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env_info['OpenCV'] = cv2.__version__
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env_info['MMCV'] = mmcv.__version__
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try:
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from annotator.uniformer.mmcv.ops import get_compiler_version, get_compiling_cuda_version
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except ModuleNotFoundError:
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env_info['MMCV Compiler'] = 'n/a'
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env_info['MMCV CUDA Compiler'] = 'n/a'
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else:
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env_info['MMCV Compiler'] = get_compiler_version()
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env_info['MMCV CUDA Compiler'] = get_compiling_cuda_version()
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return env_info
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