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
#>  0.7086 -1.0445 -0.6015  0.6182 -0.6275
#> -0.4756  0.7693 -0.9486 -0.3432 -0.9843
#>  0.5205  1.7394  0.3731  0.8029 -0.3389
#> [ CPUFloatType{3,5} ]