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
#>  0.2840 -0.6332  0.6820 -0.5914  0.3444
#>  0.3852  0.7540 -0.2986 -0.8205 -0.6940
#>  0.5924  0.8060 -0.0931 -0.4640  0.1849
#> [ CPUFloatType{3,5} ]