nn_init_trunc_normal_: Truncated normal initialization

In torch: Tensors and Neural Networks with 'GPU' Acceleration

Truncated normal initialization

Description

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 documentation built on May 29, 2024, 9:54 a.m.