nn_init_xavier_uniform_ function

Xavier uniform initialization

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

nn_init_xavier_uniform_(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_uniform_(w)
}