torch.t
torch.t(input) -> Tensor
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)".
Parameters:
      input (Tensor) -- the input tensor.
Example:
  >>> x = torch.randn(())
  >>> x
  tensor(0.1995)
  >>> torch.t(x)
  tensor(0.1995)
  >>> x = torch.randn(3)
  >>> x
  tensor([ 2.4320, -0.4608,  0.7702])
  >>> torch.t(x)
  tensor([ 2.4320, -0.4608,  0.7702])
  >>> x = torch.randn(2, 3)
  >>> x
  tensor([[ 0.4875,  0.9158, -0.5872],
          [ 0.3938, -0.6929,  0.6932]])
  >>> torch.t(x)
  tensor([[ 0.4875,  0.3938],
          [ 0.9158, -0.6929],
          [-0.5872,  0.6932]])

See also "torch.transpose()".