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.

Tensors and Neural Networks with 'GPU' Acceleration

package-ubuntu-20.04-r-4.0.5#cran#torch-0.3.0

<table summary="R argblock">
<tr valign="top">
<td><code>self</code></td>
<td>
<p>(Tensor) the tensor to compare</p>
</td>
</tr>
<tr valign="top">
<td><code>other</code></td>
<td>
<p>(Tensor or float) the tensor or value to compare</p>
</td>
</tr>
</table>

<h3>less(input, other, *, out=None) -&gt; Tensor </h3>

<p>Alias for <code><a href="torch_lt.html">torch_lt()</a></code>.
</p>

package-ubuntu-20.04-r-4.0.5#cran#torch-0.3.0#docs#torch_less

torch_less

Description

Usage

Arguments

less(input, other, *, out=None) -> Tensor

torch

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`self`	(Tensor) the tensor to compare
`other`	(Tensor or float) the tensor or value to compare