nnf_hardtanh

nnf_hardtanh_

Applies the HardTanh function element-wise.

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_hardtanh function

<dl><dt>input</dt>
<dd>(N,*) tensor, where * means, any number of additional
dimensions</dd>
<dt>min_val</dt>
<dd>minimum value of the linear region range. Default: -1</dd>
<dt>max_val</dt>
<dd>maximum value of the linear region range. Default: 1</dd>
<dt>inplace</dt>
<dd>can optionally do the operation in-place. Default: FALSE</dd></dl>

Arguments

Hardtanh — nnf_hardtanh

<dl>

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


<dt>min_val</dt>
<dd>minimum value of the linear region range. Default: -1</dd>


<dt>max_val</dt>
<dd>maximum value of the linear region range. Default: 1</dd>


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

</dl>

Hardtanh

nnf_hardtanh: Hardtanh

Description

Usage

Arguments