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
#>  0.7169  0.5156 -0.5015  0.8152  0.3892
#>  1.6825  0.5823  0.1249 -0.2365  0.3972
#> -0.6086  0.9432 -1.1624 -0.2687 -0.5962
#> [ CPUFloatType{3,5} ]