torch_log10

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_log10 function

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

Arguments

Returns a new tensor with the logarithm to the base 10 of the elements
of <code>input</code>.
$$
 y_{i} = \log_{10} (x_{i})
$$

log10(input, out=NULL) -&gt; Tensor 

Log10 — torch_log10

<dl>

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

</dl>

Returns a new tensor with the logarithm to the base 10 of the elements
of <code>input</code>.
$$
 y_{i} = \log_{10} (x_{i})
$$

torch_log10: Log10

Description

Usage

Arguments

log10(input, out=NULL) -> Tensor

Examples

Description

Usage

Arguments

log10(input, out=NULL) -&gt; Tensor

Examples

log10(input, out=NULL) -> Tensor