Truncated normal initialization

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
#> -0.1711 -0.8581 -0.2728 -1.1535 -0.3773
#> -0.0247  0.3796  0.4174  0.4901  0.1598
#>  1.2716  1.4482  0.5034  1.8015 -0.2843
#> [ CPUFloatType{3,5} ]