Truncated normal initialization — nn_init_trunc_normal_ • torch

Fills the input Tensor with values drawn from a truncated normal distribution.

Usage

nn_init_trunc_normal_(tensor, mean = 0, std = 1, a = -2, b = 2)

Arguments

tensor: an n-dimensional Tensor
mean: the mean of the normal distribution
std: the standard deviation of the normal distribution
a: the minimum cutoff value
b: the maximum cutoff value

Examples

if (torch_is_installed()) {
w <- torch_empty(3, 5)
nn_init_trunc_normal_(w)
}
#> torch_tensor
#> -0.7527  0.3771 -1.2495 -0.2431  0.8773
#> -1.0118  1.0828 -1.3777  0.1028 -0.6785
#>  0.3834  0.4042 -0.4491 -1.1887  1.1607
#> [ CPUFloatType{3,5} ]