cuda_synchronize

Waits for all kernels in all streams on a CUDA device to complete.

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_synchronize function

<dl><dt>device</dt>
<dd>device for which to synchronize. It uses the current device
given by <code>cuda_current_device()</code> if no device is specified.</dd></dl>

Arguments

Waits for all kernels in all streams on a CUDA device to complete. — cuda_synchronize

<dl>

<dt>device</dt>
<dd>device for which to synchronize. It uses the current device
given by <code>cuda_current_device()</code> if no device is specified.</dd>

</dl>

Waits for all kernels in all streams on a CUDA device to complete.

cuda_synchronize: Waits for all kernels in all streams on a CUDA device to complete.

Description

Usage

Arguments