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
#>  0.3316 -0.3799  0.7870  0.4199  0.2380
#> -0.5967  0.3578  0.7614  0.7000  0.4116
#> -0.5598  0.2516  0.2989 -0.4461  0.3115
#> [ CPUFloatType{3,5} ]