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
#> -1.4053  0.6697
#> -0.9852  0.4609
#> -2.0105 -1.1546
#> [ CPUFloatType{3,2} ]