torch: nn_init_trunc_normal_ – R documentation

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torch

nn_init_trunc_normal_

Truncated normal initialization

Description

Fills the input Tensor with values drawn from a truncated normal distribution.

Usage

nn_init_trunc_normal_(tensor, mean = 0, std = 1, a = -2, b = 2)

Arguments

`tensor`	an n-dimensional Tensor
`mean`	the mean of the normal distribution
`std`	the standard deviation of the normal distribution
`a`	the minimum cutoff value
`b`	the maximum cutoff value

Examples

if (torch_is_installed()) {
w <- torch_empty(3, 5)
nn_init_trunc_normal_(w)

}

torch

Tensors and Neural Networks with 'GPU' Acceleration

v0.3.0

MIT + file LICENSE

Authors

Daniel Falbel [aut, cre, cph], Javier Luraschi [aut], Dmitriy Selivanov [ctb], Athos Damiani [ctb], Christophe Regouby [ctb], Krzysztof Joachimiak [ctb], RStudio [cph]

Initial release

nn_init_trunc_normal_

Description

Usage

Arguments

Examples

torch

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