线程池快速上手

from concurrent.futures import ThreadPoolExecutor
from utils import *

workers = 8
with ThreadPoolExecutor(max_workers=workers) as pool:
    # 使用线程执行map计算
    results = pool.map(batch_gen, ('_{}'.format(ed) for ed in range(5000, 5000*workers+1, 5000)), (5000 for _ in range(workers)))
    for r in results:
        print("Stend {}s ...".format(r))

自动阻塞主线程等待全部线程完成

多进程处理

https://www.cnblogs.com/hellcat/p/7985694.html

使用子进程调用命令行

import os
import subprocess

print(os.listdir('./'))
assert os.path.isfile('./tools/dist_train.sh'), "Can't found file 'dist_train.sh'"

commands = [
    "./tools/dist_train.sh configs/carbonate/htc_libra_cca_dconv2_c3-c5_se_x101_64x4d_pan.py 2",
    "./tools/dist_train.sh configs/carbonate/trident/htc_trident.py 2",
    "./tools/dist_train.sh configs/carbonate/trident/trident_c4c5_r50_fpn_1x.py 2",
]

for cmd in commands:
    print("Process command '{}' ...".format(cmd))
    try:
        p = subprocess.Popen(cmd, shell=True)
        p.wait()
    except RuntimeError as e:
        continue

明显的，子进程不会同步运行