Xavier uniform initialization — nn_init_xavier_uniform

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 uniform distribution.

Usage

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)
}
#> torch_tensor
#>  0.2429 -0.2332 -0.5646  0.7758 -0.2718
#>  0.8498 -0.6601 -0.5773 -0.6066  0.0165
#>  0.2737  0.7753 -0.8161 -0.5464 -0.2942
#> [ CPUFloatType{3,5} ]