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
#> -0.2885  0.8016  0.2671  0.6929 -0.3408
#>  0.4783  0.4668  0.3913 -0.7870  0.4415
#>  0.2813  0.7060 -0.2810 -0.0499 -0.6675
#> [ CPUFloatType{3,5} ]