torch_sin

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

 RStudio

torch_sin function

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

Arguments

Returns a new tensor with the sine of the elements of <code>input</code>.
$$
 \mbox{out}_{i} = \sin(\mbox{input}_{i})
$$

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

Sin — torch_sin

<dl>

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

</dl>

Returns a new tensor with the sine of the elements of <code>input</code>.
$$
 \mbox{out}_{i} = \sin(\mbox{input}_{i})
$$

Last chance! 50% off unlimited learning

torch_sin: Sin

Description

Usage

Arguments

sin(input, out=NULL) -> Tensor

Examples

Last chance! 50% off unlimited learning

Description

Usage

Arguments

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

Examples

sin(input, out=NULL) -> Tensor