cuda_empty_cache

<p>Releases all unoccupied cached memory currently held by the caching allocator
so that those can be used in other GPU application and visible in <code>nvidia-smi</code>.</p>

Provides functionality to define and train neural networks similar to
'PyTorch' by Paszke et al (2019) <doi:10.48550/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

Sebastian Fischer

Maximilian Pichler

 RStudio

cuda_empty_cache function

Empty cache — cuda_empty_cache

Empty cache

cuda_empty_cache: Empty cache

Description

Usage

Arguments