nnf_threshold

nnf_threshold_

Thresholds each element of the input Tensor.

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_threshold function

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

Arguments

Threshold — nnf_threshold

<dl>

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


<dt>threshold</dt>
<dd>The value to threshold at</dd>


<dt>value</dt>
<dd>The value to replace with</dd>


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

</dl>

Threshold

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nnf_threshold: Threshold

Description

Usage

Arguments