Resize PyTorch Tensor

Question

I am currently using the tensor.resize() function to resize a tensor to a new shape t = t.resize(1, 2, 3).

This gives me a deprecation warning:

Answer 1

Simply use t = t.contiguous().view(1, 2, 3) if you don't really want to change its data.

If not the case, the in-place resize_ operation will break the grad computation graph of t.
If it doesn't matter to you, just use t = t.data.resize_(1,2,3).