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
#> -0.6983 -1.2446  0.6143  0.4006 -0.8285
#> -1.4190  0.1839 -0.4354  1.6085 -0.3045
#>  0.5880  0.2451 -0.3725 -0.8311  1.4535
#> [ CPUFloatType{3,5} ]