How do you want to use the data? You can call the two dataloaders independently in the same iteration.
train_iter = iter(train_loader)
train_iter2 = iter(train_loader2)
for epoch in range(10):
    for iter in in range(10000): 
        data1 = train_iter.next()
        data2 = train_iter2.next()