num_workers=args.workers, drop_last=False)
时间: 2024-05-24 12:10:03 浏览: 21
This line of code is used to create a PyTorch DataLoader object for loading data in batches during training or inference.
Here, num_workers specifies the number of subprocesses to use for data loading. This parameter is used to speed up the data loading process by loading and preprocessing data in parallel.
The drop_last parameter specifies whether to drop the last batch if it is smaller than the batch size. If set to True, the last batch will be dropped. If set to False, the last batch will be included even if its size is smaller than the batch size.
相关问题
这段代码什么意思num_workers=args.workers, drop_last=False)
这段代码是用来设置数据加载器的参数。其中,num_workers表示要使用的进程数量,args.workers是从命令行参数中获取的值;drop_last表示是否丢弃最后一个batch,如果为True,则最后一个batch如果不足batch_size大小,则会被丢弃,如果为False,则最后一个batch的大小可能会小于batch_size。
num_features=args.features
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