torch_reciprocal

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_reciprocal function

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

Arguments

Returns a new tensor with the reciprocal of the elements of <code>input</code>
$$
 \mbox{out}_{i} = \frac{1}{\mbox{input}_{i}}
$$

reciprocal(input, out=NULL) -&gt; Tensor 

Reciprocal — torch_reciprocal

<dl>

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

</dl>

Returns a new tensor with the reciprocal of the elements of <code>input</code>
$$
 \mbox{out}_{i} = \frac{1}{\mbox{input}_{i}}
$$

Last chance! 50% off unlimited learning

torch_reciprocal: Reciprocal

Description

Usage

Arguments

reciprocal(input, out=NULL) -> Tensor

Examples

Last chance! 50% off unlimited learning

Description

Usage

Arguments

reciprocal(input, out=NULL) -&gt; Tensor

Examples

reciprocal(input, out=NULL) -> Tensor