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
#> -0.6807  0.4855  0.1751 -0.1340  0.8230
#>  0.8294  0.5862 -0.5774  0.2247 -0.7242
#> -0.4457  0.5181 -0.2803 -0.0586 -0.4050
#> [ CPUFloatType{3,5} ]