nnf_rrelu

nnf_rrelu_

Provides functionality to define and train neural networks similar to
'PyTorch' by Paszke et al (2019) <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

 RStudio

nnf_rrelu function

<dl><dt>input</dt>
<dd>(N,*) tensor, where * means, any number of additional
dimensions</dd>
<dt>lower</dt>
<dd>lower bound of the uniform distribution. Default: 1/8</dd>
<dt>upper</dt>
<dd>upper bound of the uniform distribution. Default: 1/3</dd>
<dt>training</dt>
<dd>bool wether it's a training pass. DEfault: FALSE</dd>
<dt>inplace</dt>
<dd>can optionally do the operation in-place. Default: FALSE</dd></dl>

Arguments

Rrelu — nnf_rrelu

<dl>

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


<dt>lower</dt>
<dd>lower bound of the uniform distribution. Default: 1/8</dd>


<dt>upper</dt>
<dd>upper bound of the uniform distribution. Default: 1/3</dd>


<dt>training</dt>
<dd>bool wether it's a training pass. DEfault: FALSE</dd>


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

</dl>

Rrelu

nnf_rrelu: Rrelu

Description

Usage

Arguments