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
#> -0.3560 -0.4678  0.8668  0.6178 -0.6472
#>  1.0229  0.2751 -0.7472  1.6860  0.5638
#>  1.2977  0.8134 -0.0995  0.8243 -0.1895
#> [ CPUFloatType{3,5} ]