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# Ultralytics YOLO 🚀, GPL-3.0 license
import os
import shutil
import socket
import sys
import tempfile
from . import USER_CONFIG_DIR
from .torch_utils import TORCH_1_9
def find_free_network_port() -> int:
"""Finds a free port on localhost.
It is useful in single-node training when we don't want to connect to a real main node but have to set the
`MASTER_PORT` environment variable.
"""
with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
s.bind(('127.0.0.1', 0))
return s.getsockname()[1] # port
def generate_ddp_file(trainer):
import_path = '.'.join(str(trainer.__class__).split('.')[1:-1])
content = f'''cfg = {vars(trainer.args)} \nif __name__ == "__main__":
from ultralytics.{import_path} import {trainer.__class__.__name__}
trainer = {trainer.__class__.__name__}(cfg=cfg)
trainer.train()'''
(USER_CONFIG_DIR / 'DDP').mkdir(exist_ok=True)
with tempfile.NamedTemporaryFile(prefix='_temp_',
suffix=f'{id(trainer)}.py',
mode='w+',
encoding='utf-8',
dir=USER_CONFIG_DIR / 'DDP',
delete=False) as file:
file.write(content)
return file.name
def generate_ddp_command(world_size, trainer):
import __main__ # local import to avoid https://github.com/Lightning-AI/lightning/issues/15218
file = os.path.abspath(sys.argv[0])
using_cli = not file.endswith('.py')
if not trainer.resume:
shutil.rmtree(trainer.save_dir) # remove the save_dir
if using_cli:
file = generate_ddp_file(trainer)
dist_cmd = 'torch.distributed.run' if TORCH_1_9 else 'torch.distributed.launch'
port = find_free_network_port()
exclude_args = ['save_dir']
args = [f'{k}={v}' for k, v in vars(trainer.args).items() if k not in exclude_args]
cmd = [sys.executable, '-m', dist_cmd, '--nproc_per_node', f'{world_size}', '--master_port', f'{port}', file] + args
return cmd, file
def ddp_cleanup(trainer, file):
# delete temp file if created
if f'{id(trainer)}.py' in file: # if temp_file suffix in file
os.remove(file)