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
#>  0.3975  0.9598 -0.1321  0.2450  0.9107
#>  1.0950  1.1163 -1.3789  1.0975 -1.2351
#> -1.2719  0.0179 -0.1226  1.2499  1.3921
#> [ CPUFloatType{3,5} ]