[Depth study notes] torch.unsqueeze ()
tags: Study notes Depth study
First, the role
Mainly to expand the data dimension. To the specified position, add dimensions of dimensions 1, such as data (3) originally 4 rows (3), which will be 1 row 4 columns (1, 3). A.unsqueeze (n) is a dimension of 1 dimension of 1 plus a dimension of 1 in the specified position n in A. There is also a form is that b = torch.unsqueeze (a, n) a is a dimension of the position N plus a dimension of 1 in the specified position n in A.
Second, the example
x = torch.tensor([1, 2, 3, 4])
torch.unsqueeze(x, 0).size()
RESULTS: Torch.Size([1, 4])
torch.unsqueeze(x, 1).size()
RESULTS: Torch.Size([4, 1])
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