T

torch_t(self)

Arguments

self

(Tensor) the input tensor.

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).

Examples

if (torch_is_installed()) { x = torch_randn(c(2,3)) x torch_t(x) x = torch_randn(c(3)) x torch_t(x) x = torch_randn(c(2, 3)) x torch_t(x) }
#> torch_tensor #> -0.0795 -1.5202 #> -0.1916 0.4658 #> 1.7875 1.4437 #> [ CPUFloatType{3,2} ]