torch_clip

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_clip function

<dl><dt>self</dt>
<dd>(Tensor) the input tensor.</dd>
<dt>min</dt>
<dd>(Number) lower-bound of the range to be clamped to</dd>
<dt>max</dt>
<dd>(Number) upper-bound of the range to be clamped to</dd></dl>

Arguments

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

clip(input, min, max, *, out=None) -&gt; Tensor 

Clip — torch_clip

<dl>

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


<dt>min</dt>
<dd>(Number) lower-bound of the range to be clamped to</dd>


<dt>max</dt>
<dd>(Number) upper-bound of the range to be clamped to</dd>

</dl>

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

Last chance! 50% off unlimited learning

torch_clip: Clip

Description

Usage

Arguments

clip(input, min, max, *, out=None) -> Tensor

Last chance! 50% off unlimited learning

Description

Usage

Arguments

clip(input, min, max, *, out=None) -&gt; Tensor

clip(input, min, max, *, out=None) -> Tensor