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88 lines
3.4 KiB
88 lines
3.4 KiB
2 years ago
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#!/usr/bin/python3
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# Copyright (c) ByteDance, Inc. and its affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the license found in the
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# LICENSE file in the root directory of this source tree.
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import argparse
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import functools
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import os
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import socket
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import subprocess
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import sys
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from typing import List
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echo = lambda info: os_system(f'echo "[$(date "+%m-%d-%H:%M:%S")] ({os.path.basename(sys._getframe().f_back.f_code.co_filename)}, line{sys._getframe().f_back.f_lineno})=> {info}"')
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os_system = functools.partial(subprocess.call, shell=True)
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os_system_get_stdout = lambda cmd: subprocess.run(cmd, shell=True, stdout=subprocess.PIPE).stdout.decode('utf-8')
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def os_system_get_stdout_stderr(cmd):
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sp = subprocess.run(cmd, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
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return sp.stdout.decode('utf-8'), sp.stderr.decode('utf-8')
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def __find_free_port():
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sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
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# Binding to port 0 will cause the OS to find an available port for us
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sock.bind(("", 0))
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port = sock.getsockname()[1]
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sock.close()
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# NOTE: there is still a chance the port could be taken by other processes.
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return port
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if __name__ == '__main__':
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parser = argparse.ArgumentParser(description='PyTorch Distributed Launcher')
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parser.add_argument('--main_py_relpath', type=str, default='main.py',
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help='specify launcher script.')
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# distributed environment
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parser.add_argument('--num_nodes', type=int, default=1)
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parser.add_argument('--ngpu_per_node', type=int, default=1)
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parser.add_argument('--node_rank', type=int, default=0,
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help='node rank, ranged from 0 to [dist_num_nodes]-1')
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parser.add_argument('--master_address', type=str, default='128.0.0.0',
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help='master address for distributed communication')
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parser.add_argument('--master_port', type=int, default=30001,
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help='master port for distributed communication')
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# other args
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known_args, other_args = parser.parse_known_args()
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other_args: List[str]
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echo(f'[other_args received by launch.py]: {other_args}')
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main_args = other_args[-1]
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main_args = '='.join(map(str.strip, main_args.split('=')))
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main_args = main_args.split(' ')
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for i, a in enumerate(main_args):
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if len(a) and '=' not in a:
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main_args[i] = f'{a}=1'
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other_args[-1] = ' '.join(main_args)
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echo(f'[final other_args]: {other_args[-1]}')
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if known_args.num_nodes > 1:
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os.environ['NPROC_PER_NODE'] = str(known_args.ngpu_per_node)
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cmd = (
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f'python3 -m torch.distributed.launch'
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f' --nproc_per_node={known_args.ngpu_per_node}'
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f' --nnodes={known_args.num_nodes}'
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f' --node_rank={known_args.node_rank}'
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f' --master_addr={known_args.master_address}'
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f' --master_port={known_args.master_port}'
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f' {known_args.main_py_relpath}'
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f' {" ".join(other_args)}'
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)
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else:
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cmd = (
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f'python3 -m torch.distributed.launch'
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f' --nproc_per_node={known_args.ngpu_per_node}'
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f' --master_port={known_args.master_port}'
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f' {known_args.main_py_relpath}'
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f' {" ".join(other_args)}'
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)
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exit_code = subprocess.call(cmd, shell=True)
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sys.exit(exit_code)
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