distributed_train.py

# *****************************************************************************
# Adapted from https://github.com/NVIDIA/waveglow/blob/master/distributed.py
# *****************************************************************************

# *****************************************************************************
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import os
import sys
import time
import subprocess
import argparse
import warnings
warnings.filterwarnings("ignore")

import torch

from distributed_util import *


def main(config, stdout_dir, args_str):
    args_list = ['train.py']
    args_list += args_str.split(' ') if len(args_str) > 0 else []

    args_list.append('--config={}'.format(config))

    num_gpus = torch.cuda.device_count()
    args_list.append('--num_gpus={}'.format(num_gpus))
    args_list.append("--group_name=group_{}".format(time.strftime("%Y_%m_%d-%H%M%S")))

    if not os.path.isdir(stdout_dir):
        os.makedirs(stdout_dir)
        os.chmod(stdout_dir, 0o775)

    workers = []

    for i in range(num_gpus):
        args_list[-2] = '--rank={}'.format(i)
        stdout = None if i == 0 else open(
            os.path.join(stdout_dir, "GPU_{}.log".format(i)), "w")
        print(args_list)
        p = subprocess.Popen([str(sys.executable)]+args_list, stdout=stdout)
        workers.append(p)

    for p in workers:
        p.wait()


if __name__ == '__main__':
    parser = argparse.ArgumentParser()
    parser.add_argument('-c', '--config', type=str,
                        help='JSON file for configuration')
    parser.add_argument('-s', '--stdout_dir', type=str, default="exp/",
                        help='directory to save stoud logs')
    parser.add_argument('-a', '--args_str', type=str, default='',
                        help='double quoted string with space separated key value pairs')

    args = parser.parse_args()
    main(args.config, args.stdout_dir, args.args_str)