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
#> -0.3541 -0.9657  0.2861 -0.9022  0.0056
#>  0.5659  0.1487 -0.3610  0.7793 -0.2646
#> -0.8720 -0.9267 -0.3642 -0.9594 -1.3802
#> [ CPUFloatType{3,5} ]