torch.t — PyTorch 2.7 documentation (original) (raw)

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().