torch_subtract

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_subtract function

<dl><dt>self</dt>
<dd>(Tensor) the input tensor.</dd>
<dt>other</dt>
<dd>(Tensor or Scalar) the tensor or scalar to subtract from <code>input</code></dd>
<dt>alpha</dt>
<dd>the scalar multiplier for other</dd></dl>

Arguments

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

subtract(input, other, *, alpha=1, out=None) -&gt; Tensor 

Subtract — torch_subtract

<dl>

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


<dt>other</dt>
<dd>(Tensor or Scalar) the tensor or scalar to subtract from <code>input</code></dd>


<dt>alpha</dt>
<dd>the scalar multiplier for other</dd>

</dl>

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

torch_subtract: Subtract

Description

Usage

Arguments

subtract(input, other, *, alpha=1, out=None) -> Tensor

Description

Usage

Arguments

subtract(input, other, *, alpha=1, out=None) -&gt; Tensor

subtract(input, other, *, alpha=1, out=None) -> Tensor