use_compat

Enables TensorFlow to run under a different API version for compatibility
with previous versions. For instance, this is useful to run TensorFlow 1.x
code when using TensorFlow 2.x.

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 

use_compat function

<dl><dt>version</dt>
<dd>The version to activate. Must be <code>"v1"</code> or <code>"v2"</code></dd></dl>

Arguments

Use Compatibility — use_compat

<dl>

<dt>version</dt>
<dd>The version to activate. Must be <code>"v1"</code> or <code>"v2"</code></dd>

</dl>

use_compat: Use Compatibility

Description

Usage

Arguments

Examples