reexports

as_iterator

loop

yield

These objects are imported from other packages. Follow the links
below to see their documentation.<dl class="dl-horizontal">
 <dt>coro</dt><dd><code><a rd-options="coro" href="/link/as_iterator?package=torch&version=0.2.0&to=coro" data-mini-rdoc="coro::as_iterator">as_iterator</a></code>, <code><a rd-options="coro:collect" href="/link/loop?package=torch&version=0.2.0&to=coro%3Acollect" data-mini-rdoc="coro:collect::loop">loop</a></code>, <code><a rd-options="coro" href="/link/yield?package=torch&version=0.2.0&to=coro" data-mini-rdoc="coro::yield">yield</a></code></dd>
</dl>

internal

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

 RStudio

reexports function

These objects are imported from other packages. Follow the links
below to see their documentation.<dl class='dl-horizontal'>
 <dt>coro</dt><dd><code><a rd-options='coro' href='as_iterator'>as_iterator</a></code>, <code><a rd-options='coro:collect' href='loop'>loop</a></code>, <code><a rd-options='coro' href='yield'>yield</a></code></dd>
</dl>

Re-exporting the as_iterator function. — reexports

Re-exporting the as_iterator function.

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reexports: Re-exporting the as_iterator function.

Description

Arguments