parser.add_argument('--local_rank', type=int, default=-1, help='DDP parameter, do not modify')是什么意思

这段代码是一个命令行参数解析器（parser）中的一个参数（argument）。它指定了一个名为“local_rank”的参数，类型为整数（int），默认值为-1，帮助文本为“DDP parameter, do not modify”（DDP是分布式数据并行的缩写）。这个参数可能是用于在分布式训练中标识当前进程的本地排名（local rank）。

相关问题

parser.add_argument('--local_rank', type=int, default=-1, help='DDP parameter, do not modify')

parser.add_argument('--local_rank', type=int, default=-1, help='DDP parameter, do not modify')
# This argument specifies the local rank of the process when using Distributed Data Parallel (DDP) for multi-GPU training.
# It is set to -1 by default, which means that DDP is not being used.
# If DDP is being used, this argument should be set to the local rank of the current process.
# The local rank is an integer value that uniquely identifies each process within the node.

arser = argparse.ArgumentParser(description="Run GHCN.") parser.add_argument('--data_path', type=str, default='./data/', help='Input data path') parser.add_argument('--model_path', type=str, default='checkpoint.pt', help='Saved model path.') parser.add_argument('--dataset', type=str, default='Cora', help='Choose a dataset from {Cora, CiteSeer, PubMed}') parser.add_argument('--split', type=str, default='full', help='The type of dataset split {public, full, random}') parser.add_argument('--trim_prob', type=float, default=0.2, help='The probability to trim adj, 0 not trim, 1 trim') parser.add_argument('--seed', type=int, default=123, help='Random seed') parser.add_argument('--epoch', type=int, default=1000, help='Number of epochs to train') parser.add_argument('--lr', type=float, default=0.005, help='Initial learning rate') parser.add_argument('--weight_decay', type=float, default=5e-4, help='Weight decay (L2 norm on parameters)') parser.add_argument('--k', type=int, default=10, help='k-hop aggregation') parser.add_argument('--hidden', type=int, default=64, help='Number of hidden units') parser.add_argument('--dropout', type=float, default=0.7, help='Dropout rate') parser.add_argument('--patience', type=int, default=100, help='How long to wait after last time validation improved') args = parser.parse_args() for arg in vars(args): print('{0} = {1}'.format(arg, getattr(args, arg))) 修改代码要求：如果dataset不等于{Cora, CiteSeer, PubMed}中的任何一项则不打印split

修改后的代码如下：

import argparse

parser = argparse.ArgumentParser(description="Run GHCN.")
parser.add_argument('--data_path', type=str, default='./data/', help='Input data path')
parser.add_argument('--model_path', type=str, default='checkpoint.pt', help='Saved model path.')
parser.add_argument('--dataset', type=str, default='Cora', help='Choose a dataset from {Cora, CiteSeer, PubMed}')
parser.add_argument('--split', type=str, default='full', help='The type of dataset split {public, full, random}')
parser.add_argument('--trim_prob', type=float, default=0.2, help='The probability to trim adj, 0 not trim, 1 trim')
parser.add_argument('--seed', type=int, default=123, help='Random seed')
parser.add_argument('--epoch', type=int, default=1000, help='Number of epochs to train')
parser.add_argument('--lr', type=float, default=0.005, help='Initial learning rate')
parser.add_argument('--weight_decay', type=float, default=5e-4, help='Weight decay (L2 norm on parameters)')
parser.add_argument('--k', type=int, default=10, help='k-hop aggregation')
parser.add_argument('--hidden', type=int, default=64, help='Number of hidden units')
parser.add_argument('--dropout', type=float, default=0.7, help='Dropout rate')
parser.add_argument('--patience', type=int, default=100, help='How long to wait after last time validation improved')

args = parser.parse_args()

if args.dataset in {'Cora', 'CiteSeer', 'PubMed'}:
    for arg in vars(args):
        print('{0} = {1}'.format(arg, getattr(args, arg)))
else:
    print("Invalid dataset! Valid options are {Cora, CiteSeer, PubMed}.")

如果输入的 dataset 不是 {Cora, CiteSeer, PubMed} 中的任何一项，将会输出 "Invalid dataset! Valid options are {Cora, CiteSeer, PubMed}."，否则将会输出各个参数的值。