nn_init_xavier_normal_ {torch}

Xavier normal initialization

Description

Fills the input Tensor with values according to the method described in ⁠Understanding the difficulty of training deep feedforward neural networks⁠ - Glorot, X. & Bengio, Y. (2010), using a normal distribution.

Usage

nn_init_xavier_normal_(tensor, gain = 1)

Arguments

tensor

an n-dimensional Tensor

gain

an optional scaling factor

Examples

if (torch_is_installed()) {
w <- torch_empty(3, 5)
nn_init_xavier_normal_(w)
}