nnf_relu6

Applies the element-wise function \(ReLU6(x) = min(max(0,x), 6)\).

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_relu6 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

Relu6 — nnf_relu6

<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>

Relu6

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nnf_relu6: Relu6

Description

Usage

Arguments