当压缩两个循环的torch数据加载器和一个torch数据加载器时，两个循环的torch数据加载器在最后一步的行为不同

Question

unlabelledloader2 = torch.utils.data.DataLoader(train_data, batch_size=batch_size, sampler = unlabelled_sampler2,  num_workers=workers, pin_memory=True)
unlabelledloader = torch.utils.data.DataLoader(train_data, batch_size=batch_size, sampler = unlabelled_sampler,  num_workers=workers, pin_memory=True)
train_loader= torch.utils.data.DataLoader(train_data, batch_size=batch_size, sampler = train_sampler,  num_workers=workers, pin_memory=True)
for (input, target), (u, _), (u2, _) in zip(cycle(trainloader), unlabelledloader, cycle(unlabelledloader2):

火车装载机和无标签装载机2都有1000个样本，而无标签装载机有2037个样本。所有这些都设置为每一步弹出100个样本

在最后一步，我期望unlabelledloader弹出37个样本，而trainloader和unlabelledloader2弹出相同数量的样本，或者37个，或者100个。然而，奇怪的事情发生了，trainloader弹出37个，unlabelledloader2弹出100个

有人能解释一下吗？非常感谢