Difference between tensor.t() and tensor.T?

2

From the docs:
tensor.t:

Expects input to be <= 2-D tensor and transposes dimensions 0 and 1.
0-D and 1-D tensors are returned as is. When input is a 2-D tensor this is equivalent to transpose(input, 0, 1).

tensor.T:

Returns a view of this tensor with its dimensions reversed.
If n is the number of dimensions in x, x.T is equivalent to x.permute(n-1, n-2, ..., 0).

In your use case both will yield the same result.

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