torch_multiply

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_multiply function

<dl><dt>self</dt>
<dd>(Tensor) the first multiplicand tensor</dd>
<dt>other</dt>
<dd>(Tensor) the second multiplicand tensor</dd></dl>

Arguments

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

multiply(input, other, *, out=None) 

Multiply — torch_multiply

<dl>

<dt>self</dt>
<dd>(Tensor) the first multiplicand tensor</dd>


<dt>other</dt>
<dd>(Tensor) the second multiplicand tensor</dd>

</dl>

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

torch_multiply: Multiply

Description

Usage

Arguments

multiply(input, other, *, out=None)