nnf_silu

Applies the Sigmoid Linear Unit (SiLU) function, element-wise.
See <code>nn_silu()</code> for more information.

Provides functionality to define and train neural networks similar to
'PyTorch' by Paszke et al (2019) <doi:10.48550/arXiv.1912.01703> but written entirely in R
using the 'libtorch' library. Also supports low-level tensor operations and
'GPU' acceleration.

Daniel Falbel

torch

Tensors and Neural Networks with 'GPU' Acceleration

Javier Luraschi

Dmitriy Selivanov

Athos Damiani

Christophe Regouby

Krzysztof Joachimiak

Hamada S. Badr

Sebastian Fischer

Maximilian Pichler

 RStudio

nnf_silu function

<dl><dt>input</dt>
<dd>(N,*) tensor, where * means, any number of additional
dimensions</dd>
<dt>inplace</dt>
<dd>can optionally do the operation in-place. Default: FALSE</dd></dl>

Arguments

Applies the Sigmoid Linear Unit (SiLU) function, element-wise.
See nn_silu() for more information. — nnf_silu

<dl>

<dt>input</dt>
<dd>(N,*) tensor, where * means, any number of additional
dimensions</dd>


<dt>inplace</dt>
<dd>can optionally do the operation in-place. Default: FALSE</dd>

</dl>

Applies the Sigmoid Linear Unit (SiLU) function, element-wise.
See <code>nn_silu()</code> for more information.

nnf_silu: Applies the Sigmoid Linear Unit (SiLU) function, element-wise. See `nn_silu()` for more information.

Description

Usage

Arguments

See Also