torch_not_equal

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_not_equal function

<dl><dt>self</dt>
<dd>(Tensor) the tensor to compare</dd>
<dt>other</dt>
<dd>(Tensor or float) the tensor or value to compare</dd></dl>

Arguments

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

not_equal(input, other, *, out=None) -&gt; Tensor 

Not_equal — torch_not_equal

<dl>

<dt>self</dt>
<dd>(Tensor) the tensor to compare</dd>


<dt>other</dt>
<dd>(Tensor or float) the tensor or value to compare</dd>

</dl>

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

torch_not_equal: Not_equal

Description

Usage

Arguments

not_equal(input, other, *, out=None) -> Tensor

Description

Usage

Arguments

not_equal(input, other, *, out=None) -&gt; Tensor

not_equal(input, other, *, out=None) -> Tensor