cuda_device_count

<p>Returns the number of GPUs available.</p>

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

cuda_device_count function

Returns the number of GPUs available. — cuda_device_count

Returns the number of GPUs available.

cuda_device_count: Returns the number of GPUs available.

Description

Usage

Arguments