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

 RStudio

cuda_device_count function

Returns the number of GPUs available. — cuda_device_count

Returns the number of GPUs available.

Data Engineering and BI courses are free this week!

cuda_device_count: Returns the number of GPUs available.

Description

Usage

Arguments