tf_gpu_configured

TensorFlow GPU configuration information

internal

Interface to 'TensorFlow' <https://www.tensorflow.org/>,
an open source software library for numerical computation using data
flow graphs. Nodes in the graph represent mathematical operations,
while the graph edges represent the multidimensional data arrays
(tensors) communicated between them. The flexible architecture allows
you to deploy computation to one or more 'CPUs' or 'GPUs' in a desktop,
server, or mobile device with a single 'API'. 'TensorFlow' was originally
developed by researchers and engineers working on the Google Brain Team
within Google's Machine Intelligence research organization for the
purposes of conducting machine learning and deep neural networks research,
but the system is general enough to be applicable in a wide variety
of other domains as well.

Tomasz Kalinowski

tensorflow

R Interface to 'TensorFlow'

JJ Allaire

Daniel Falbel

Dirk Eddelbuettel

Yuan Tang

Nick Golding

Google Inc. 

Posit, PBC 

tf_gpu_configured function

<dl><dt>verbose</dt>
<dd>boolean. Whether to show extra GPU info.</dd></dl>

Arguments

TensorFlow GPU configuration information — tf_gpu_configured

<dl>

<dt>verbose</dt>
<dd>boolean. Whether to show extra GPU info.</dd>

</dl>

TensorFlow GPU configuration information

tf_gpu_configured: TensorFlow GPU configuration information

Description

Usage

Value

Arguments