torch.t#

torch.t(input)→Tensor#

Expectsinput to be <= 2-D tensor and transposes dimensions 0and 1.

0-D and 1-D tensors are returned as is. When input is a 2-D tensor thisis equivalent totranspose(input,0,1).

Parameters

input (Tensor) – the input tensor.

Example:

>>>x=torch.randn(())>>>xtensor(0.1995)>>>torch.t(x)tensor(0.1995)>>>x=torch.randn(3)>>>xtensor([ 2.4320, -0.4608,  0.7702])>>>torch.t(x)tensor([ 2.4320, -0.4608,  0.7702])>>>x=torch.randn(2,3)>>>xtensor([[ 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 alsotorch.transpose().