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zip() stacks two lists and creates an one-time iterator. This iterator could be used only once. a = range(5) b = range(5) iter1 = zip(a,b) print(list(iter1)) # working print(list(iter1)) # empty-iterator Output: [(0, 0), (1, 1), (2, 2), (3, 3), (4, 4)] [] If we want to reuse the result, we could list() the iterator. a = range(5) b = rang...

In PyTorch and Numpy, slicing format differs from that of Python list. tensor[:2] stands for the first and second samples. tensor = torch.ones([5,32,32,1]) lists = list(range(0,5120)) print(tensor[:2].shape) # torch.Size([2, 32, 32, 1]) tensor[:2,1] stands for the second row of the first two samples. print(tensor[:2, 1].shape) # torch.Size([...