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
#>  1.6650 -0.5936 -0.4173 -0.3491 -0.2854
#> -0.7031 -0.3730  0.4309 -0.8737  0.2055
#>  0.7119  1.1223 -1.3891  1.1680 -0.0479
#> [ CPUFloatType{3,5} ]