Log

Usage

torch_log(self)

Arguments

self

(Tensor) the input tensor.

log(input, out=NULL) -> Tensor

Returns a new tensor with the natural logarithm of the elements of input.

$$y_i={\log }_e(x_i)$$

Examples

if (torch_is_installed()) {

a = torch_randn(c(5))
a
torch_log(a)
}
#> torch_tensor
#> -1.1529
#> -0.6609
#>     nan
#>     nan
#>     nan
#> [ CPUFloatType{5} ]