Issue
I'm using a module (SwimIR) for image super resolution based on PyTorch
One of the operations that is done is:
b, c, h, w = img_lq.size()
E = torch.zeros(b, c, h*scale_factor, w*scale_factor).type_as(img_lq)
W = torch.zeros_like(E)
I.e., getting the tensor shape and creating a new tensor of zeros of the same shape. I'm trying to understand what would be the two assigned variables b
and c
returned by the method size()
apart from h
and w
that are height and width respectively.
Looking in PyTorch documentation, I haven't found anything that could give me a clue about what are those 2 variables.
Solution
The torch.Tensor.size
function returns the shape of the tensor. As would accessing torch.Tensor.shape
directly.
In other words the first line is simply unpacking the dimension sizes of img_lq
as: b
("batch size"), c
("channels"), h
("height"), and w
("width"). Of course, this code makes the assumption that img_lq has exactly four dimensions.
Answered By - Ivan
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