Returns a new tensor that is a narrowed version of input
tensor. The dimension dim
is input from start
to start + length
. The returned tensor and input
tensor share the same underlying storage.
>>> x = torch.tensor([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) >>> torch.narrow(x, 0, 0, 2) tensor([[ 1, 2, 3], [ 4, 5, 6]]) >>> torch.narrow(x, 1, 1, 2) tensor([[ 2, 3], [ 5, 6], [ 8, 9]]) >>> torch.narrow(x, -1, torch.tensor(-1), 1) tensor([[3], [6], [9]])
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