torch_bitwise_and

input

other

(Tensor, optional) the output tensor.

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

 RStudio

torch_bitwise_and function

Computes the bitwise AND of <code>input</code> and <code>other</code>. The input tensor must be of
integral or Boolean types. For bool tensors, it computes the logical AND.

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

Bitwise_and — torch_bitwise_and

Bitwise_and

torch_bitwise_and: Bitwise_and

Description

Arguments

bitwise_and(input, other, out=None) -> Tensor

Description

Arguments

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

bitwise_and(input, other, out=None) -> Tensor