Tan

Usage

torch_tan(self)

Arguments

self

(Tensor) the input tensor.

tan(input, out=NULL) -> Tensor

Returns a new tensor with the tangent of the elements of input.

$${\text{out}}_i=\tan ({\text{input}}_i)$$

Examples

if (torch_is_installed()) {

a = torch_randn(c(4))
a
torch_tan(a)
}
#> torch_tensor
#>  0.3603
#>  5.3275
#> -0.4244
#> -2.6174
#> [ CPUFloatType{4} ]