torch_divide

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

torch_divide function

<dl><dt>self</dt>
<dd>(Tensor) the input tensor.</dd>
<dt>other</dt>
<dd>(Number) the number to be divided to each element of <code>input</code></dd>
<dt>rounding_mode</dt>
<dd>(str, optional) – Type of rounding applied to the result:<ul>
<li><code>NULL</code> - default behavior. Performs no rounding and, if both input and
other are integer types, promotes the inputs to the default scalar type.
Equivalent to true division in Python (the / operator) and NumPy’s
<code>np.true_divide</code>.</li>
<li>"trunc" - rounds the results of the division towards zero. Equivalent to
C-style integer division.</li>
<li>"floor" - rounds the results of the division down. Equivalent to floor
division in Python (the // operator) and NumPy’s <code>np.floor_divide</code>.</li>
</ul></dd></dl>

Arguments

Alias for <code>torch_div()</code>.

divide(input, other, *, out=None) -&gt; Tensor 

Divide — torch_divide

<dl>

<dt>self</dt>
<dd>(Tensor) the input tensor.</dd>


<dt>other</dt>
<dd>(Number) the number to be divided to each element of <code>input</code></dd>


<dt>rounding_mode</dt>
<dd>(str, optional) – Type of rounding applied to the result:<ul>
<li><code>NULL</code> - default behavior. Performs no rounding and, if both input and
other are integer types, promotes the inputs to the default scalar type.
Equivalent to true division in Python (the / operator) and NumPy’s
<code>np.true_divide</code>.</li>
<li>"trunc" - rounds the results of the division towards zero. Equivalent to
C-style integer division.</li>
<li>"floor" - rounds the results of the division down. Equivalent to floor
division in Python (the // operator) and NumPy’s <code>np.floor_divide</code>.</li>
</ul></dd>

</dl>

Alias for <code>torch_div()</code>.

torch_divide: Divide

Description

Usage

Arguments

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

Description

Usage

Arguments

divide(input, other, *, out=None) -&gt; Tensor

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