If your script expects `--local_rank` argument to be set, please change it to read from `os.environ['LOCAL_RANK']` instead. See
时间: 2024-05-22 18:10:31 浏览: 28
这个提示的意思是如果你的脚本需要设置`--local_rank`参数,那么你应该更新你的脚本,使其从`os.environ['LOCAL_RANK']`环境变量中获取该参数的值。这是因为在分布式训练中,`--local_rank`参数通常是通过环境变量传递的,而不是通过命令行参数传递的。这个提示提醒你在分布式训练中正确地获取`--local_rank`参数的值,以便你的脚本能够正确地运行。
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FutureWarning: The module torch.distributed.launch is deprecated and will be removed in future. Use torchrun. Note that --use-env is set by default in torchrun. If your script expects `--local-rank` argument to be set, please change it to read from `os.environ['LOCAL_RANK']` instead. See https://pytorch.org/docs/stable/distributed.html#launch-utility for further instructions
这个警告提示表示 torch.distributed.launch 模块已被弃,并将在未来的中删除。建议 torchrun 替代它。
使用 torchrun 时,默认情况下,--use-env 选项已经被设置好了。如果你的脚本期设置 --local-rank 参数,请为从 os.environ[''] 中读取该值。可以在这里参考更多的指令:https://pytorch.org/docs/stable/distributed.html#launch-utility
建议你更新你的代码,使用 torchrun 来启动分布式训练,并根据警告信息中的指引来进行相应的修改。
如果你有任何其他问题,请随时提问。
parser.add_argument('--batch_size', type=int, default=1, help='batch size')
As an AI language model, I don't have the context to provide a specific answer to this question. However, in general, `parser.add_argument()` is a method used to add command-line arguments to a Python script.
In this case, `--batch_size` is an argument that can be passed to the script with a default value of 1. This argument is of type `int`, which means it expects an integer value to be passed to it. The `help` parameter provides a description of the argument that will be displayed if the user types `--help` as a command-line argument.
The purpose of this argument could be to allow the user to specify the batch size for a machine learning model being trained in the script. By default, the batch size is set to 1, but the user can change it by passing a different value for `--batch_size`.