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88 lines
3.7 KiB
88 lines
3.7 KiB
import click
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from colossalai.context import Config
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from .run import launch_multi_processes
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@click.command(help="Launch distributed training on a single node or multiple nodes",
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context_settings=dict(ignore_unknown_options=True))
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@click.option("-H",
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"-host",
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"--host",
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type=str,
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default=None,
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help="the list of hostnames to launch in the format <host1>,<host2>")
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@click.option(
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"--hostfile",
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type=str,
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default=None,
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help="Hostfile path that defines the device pool available to the job, each line in the file is a hostname")
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@click.option("--include",
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type=str,
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default=None,
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help="Specify computing devices to use during execution. String format is <host1>,<host2>,"
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" only effective when used with --hostfile.")
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@click.option(
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"--exclude",
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type=str,
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default=None,
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help=
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"Specify computing devices to NOT use during execution. Mutually exclusive with --include. Formatting is the same as --include,"
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" only effective when used with --hostfile.")
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@click.option("--num_nodes",
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type=int,
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default=-1,
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help="Total number of worker nodes to use, only effective when used with --hostfile.")
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@click.option("--nproc_per_node", type=int, default=None, help="Number of GPUs to use on each node.")
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@click.option("--master_port",
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type=int,
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default=29500,
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help="(optional) Port used by PyTorch distributed for communication during distributed training.")
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@click.option("--master_addr",
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type=str,
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default="127.0.0.1",
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help="(optional) IP address of node 0, will be inferred via 'hostname -I' if not specified.")
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@click.option(
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"--extra_launch_args",
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type=str,
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default=None,
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help=
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"Set additional torch distributed launcher arguments such as --standalone. The format is --extra_launch_args arg1=1,arg2=2. "
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"This will be converted to --arg1=1 --arg2=2 during execution")
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@click.option("--ssh-port", type=int, default=None, help="(optional) the port used for ssh connection")
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@click.argument("user_script", type=str)
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@click.argument('user_args', nargs=-1)
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def run(host: str, hostfile: str, num_nodes: int, nproc_per_node: int, include: str, exclude: str, master_addr: str,
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master_port: int, extra_launch_args: str, ssh_port: int, user_script: str, user_args: str) -> None:
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"""
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To launch multiple processes on a single node or multiple nodes via command line.
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Usage::
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# run with 4 GPUs on the current node use default port 29500
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colossalai run --nprocs_per_node 4 train.py
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# run with 2 GPUs on the current node at port 29550
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colossalai run --nprocs_per_node 4 --master_port 29550 train.py
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# run on two nodes
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colossalai run --host <host1>,<host2> --master_addr host1 --nprocs_per_node 4 train.py
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# run with hostfile
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colossalai run --hostfile <file_path> --master_addr <host> --nprocs_per_node 4 train.py
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# run with hostfile with only included hosts
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colossalai run --hostfile <file_path> --master_addr host1 --include host1,host2 --nprocs_per_node 4 train.py
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# run with hostfile excluding the hosts selected
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colossalai run --hostfile <file_path> --master_addr host1 --exclude host2 --nprocs_per_node 4 train.py
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"""
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if not user_script.endswith('.py'):
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click.echo(f'Error: invalid Python file {user_script}. Did you use a wrong option? Try colossalai run --help')
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exit()
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args_dict = locals()
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args = Config(args_dict)
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args.user_args = list(args.user_args)
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launch_multi_processes(args)
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