Reduce dimensions of a tensor (to a scalar)
In:
a = torch.tensor([[2.4]])
torch.squeeze(a, 1)
a.size(), a

Out:
(torch.Size([1, 1]), tensor([[2.4000]]))

During computations using nn.MSELoss, I got a mismatch of dimensions.
Input had size ([1,1]) and target ([]).
The functions reshape and squeeze haven't worked.
I would be grateful for a solution, to this embarassingly simple problem. : ]
Edit: there was a simple mistake of not assigning a= the squeezed value. Thank You for Your answer.

Function torch.squeeze will not modify input a. Either reassign it:
a = a.squeeze(1)

or use the in-place version of the function torch.squeeze_
a.squeeze_(1)

