T

T

Usage

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
#>  0.1252 -0.2142
#> -0.3174  0.6097
#>  1.4236  0.7359
#> [ CPUFloatType{3,2} ]