mmsegmentation/mmseg/utils/set_env.py

56 lines
2.3 KiB
Python

# Copyright (c) OpenMMLab. All rights reserved.
import os
import platform
import cv2
import torch.multiprocessing as mp
from ..utils import get_root_logger
def setup_multi_processes(cfg):
"""Setup multi-processing environment variables."""
logger = get_root_logger()
# set multi-process start method
if platform.system() != 'Windows':
mp_start_method = cfg.get('mp_start_method', None)
current_method = mp.get_start_method(allow_none=True)
if mp_start_method in ('fork', 'spawn', 'forkserver'):
logger.info(
f'Multi-processing start method `{mp_start_method}` is '
f'different from the previous setting `{current_method}`.'
f'It will be force set to `{mp_start_method}`.')
mp.set_start_method(mp_start_method, force=True)
else:
logger.info(
f'Multi-processing start method is `{mp_start_method}`')
# disable opencv multithreading to avoid system being overloaded
opencv_num_threads = cfg.get('opencv_num_threads', None)
if isinstance(opencv_num_threads, int):
logger.info(f'OpenCV num_threads is `{opencv_num_threads}`')
cv2.setNumThreads(opencv_num_threads)
else:
logger.info(f'OpenCV num_threads is `{cv2.getNumThreads()}')
if cfg.data.workers_per_gpu > 1:
# setup OMP threads
# This code is referred from https://github.com/pytorch/pytorch/blob/master/torch/distributed/run.py # noqa
omp_num_threads = cfg.get('omp_num_threads', None)
if 'OMP_NUM_THREADS' not in os.environ:
if isinstance(omp_num_threads, int):
logger.info(f'OMP num threads is {omp_num_threads}')
os.environ['OMP_NUM_THREADS'] = str(omp_num_threads)
else:
logger.info(f'OMP num threads is {os.environ["OMP_NUM_THREADS"] }')
# setup MKL threads
if 'MKL_NUM_THREADS' not in os.environ:
mkl_num_threads = cfg.get('mkl_num_threads', None)
if isinstance(mkl_num_threads, int):
logger.info(f'MKL num threads is {mkl_num_threads}')
os.environ['MKL_NUM_THREADS'] = str(mkl_num_threads)
else:
logger.info(f'MKL num threads is {os.environ["MKL_NUM_THREADS"]}')