nnf_hardswish

Applies the hardswish function, element-wise, as described in the paper:
Searching for MobileNetV3.

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_hardswish 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

Hardswish — nnf_hardswish

<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>

Hardswish

The Learning Leader's Guide to AI Literacy

nnf_hardswish: Hardswish

Description

Usage

Arguments

Details