torch_expm1

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_expm1 function

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

Arguments

Returns a new tensor with the exponential of the elements minus 1
of <code>input</code>.
$$
 y_{i} = e^{x_{i}} - 1
$$

expm1(input, out=NULL) -&gt; Tensor 

Expm1 — torch_expm1

<dl>

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

</dl>

Returns a new tensor with the exponential of the elements minus 1
of <code>input</code>.
$$
 y_{i} = e^{x_{i}} - 1
$$

Last chance! 50% off unlimited learning

torch_expm1: Expm1

Description

Usage

Arguments

expm1(input, out=NULL) -> Tensor

Examples

Last chance! 50% off unlimited learning

Description

Usage

Arguments

expm1(input, out=NULL) -&gt; Tensor

Examples

expm1(input, out=NULL) -> Tensor