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参考资料 ultralytics/utils/dist.py

备注

该文件可从https://github.com/ultralytics/ultralytics/blob/main/ ultralytics/utils/dist .py。如果您发现问题,请通过提交 Pull Request🛠️ 帮助修复。谢谢🙏!



ultralytics.utils.dist.find_free_network_port()

查找 localhost 上的空闲端口。

在单节点训练中,当我们不想连接到真正的主节点,但又必须设置 MASTER_PORT 环境变量。

源代码 ultralytics/utils/dist.py
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



ultralytics.utils.dist.generate_ddp_file(trainer)

生成 DDP 文件并返回其文件名。

源代码 ultralytics/utils/dist.py
def generate_ddp_file(trainer):
    """Generates a DDP file and returns its file name."""
    module, name = f"{trainer.__class__.__module__}.{trainer.__class__.__name__}".rsplit(".", 1)

    content = f"""
# Ultralytics Multi-GPU training temp file (should be automatically deleted after use)
overrides = {vars(trainer.args)}

if __name__ == "__main__":
    from {module} import {name}
    from ultralytics.utils import DEFAULT_CFG_DICT

    cfg = DEFAULT_CFG_DICT.copy()
    cfg.update(save_dir='')   # handle the extra key 'save_dir'
    trainer = {name}(cfg=cfg, overrides=overrides)
    results = 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



ultralytics.utils.dist.generate_ddp_command(world_size, trainer)

生成并返回分布式训练指令。

源代码 ultralytics/utils/dist.py
def generate_ddp_command(world_size, trainer):
    """Generates and returns command for distributed training."""
    import __main__  # noqa local import to avoid https://github.com/Lightning-AI/lightning/issues/15218

    if not trainer.resume:
        shutil.rmtree(trainer.save_dir)  # remove the save_dir
    file = generate_ddp_file(trainer)
    dist_cmd = "torch.distributed.run" if TORCH_1_9 else "torch.distributed.launch"
    port = find_free_network_port()
    cmd = [sys.executable, "-m", dist_cmd, "--nproc_per_node", f"{world_size}", "--master_port", f"{port}", file]
    return cmd, file



ultralytics.utils.dist.ddp_cleanup(trainer, file)

如果创建了临时文件,则删除该文件。

源代码 ultralytics/utils/dist.py
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)





创建于 2023-11-12,更新于 2023-11-25
作者:glenn-jocher(3),Laughing-q(1)