How can we use a sliding window on a 2D PyTorch tensor t
with shape (6, 10)
such that we end up with a 3D PyTorch tensor with shape (3, 4, 10)
?
For example, if we have the tensor t
:
t = torch.range(1, 6*10).reshape((7, 10))
tensor([[ 1., 2., 3., 4., 5., 6., 7., 8., 9., 10.],
[11., 12., 13., 14., 15., 16., 17., 18., 19., 20.],
[21., 22., 23., 24., 25., 26., 27., 28., 29., 30.],
[31., 32., 33., 34., 35., 36., 37., 38., 39., 40.],
[41., 42., 43., 44., 45., 46., 47., 48., 49., 50.],
[51., 52., 53., 54., 55., 56., 57., 58., 59., 60.]]
how can we reshape it (using PyTorch) such that we get the tensor:
tensor([[ 1., 2., 3., 4., 5., 6., 7., 8., 9., 10.],
[11., 12., 13., 14., 15., 16., 17., 18., 19., 20.],
[21., 22., 23., 24., 25., 26., 27., 28., 29., 30.],
[31., 32., 33., 34., 35., 36., 37., 38., 39., 40.]],
[[11., 12., 13., 14., 15., 16., 17., 18., 19., 20.],
[21., 22., 23., 24., 25., 26., 27., 28., 29., 30.],
[31., 32., 33., 34., 35., 36., 37., 38., 39., 40.],
[41., 42., 43., 44., 45., 46., 47., 48., 49., 50.]],
[[21., 22., 23., 24., 25., 26., 27., 28., 29., 30.],
[31., 32., 33., 34., 35., 36., 37., 38., 39., 40.],
[41., 42., 43., 44., 45., 46., 47., 48., 49., 50.],
[51., 52., 53., 54., 55., 56., 57., 58., 59., 60.]])
Looks like a case for unfold
:
t.unfold(0,4,1).transpose(2,1)
Output:
tensor([[[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
[10, 11, 12, 13, 14, 15, 16, 17, 18, 19],
[20, 21, 22, 23, 24, 25, 26, 27, 28, 29],
[30, 31, 32, 33, 34, 35, 36, 37, 38, 39]],
[[10, 11, 12, 13, 14, 15, 16, 17, 18, 19],
[20, 21, 22, 23, 24, 25, 26, 27, 28, 29],
[30, 31, 32, 33, 34, 35, 36, 37, 38, 39],
[40, 41, 42, 43, 44, 45, 46, 47, 48, 49]],
[[20, 21, 22, 23, 24, 25, 26, 27, 28, 29],
[30, 31, 32, 33, 34, 35, 36, 37, 38, 39],
[40, 41, 42, 43, 44, 45, 46, 47, 48, 49],
[50, 51, 52, 53, 54, 55, 56, 57, 58, 59]]])
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