TensorFlow Python API Upgrade Utility

This tool allows you to upgrade your existing TensorFlow Python scripts, specifically:

tf_upgrade_v2.py: Upgrade code from TensorFlow 1.x to TensorFlow 2.0 preview.
tf_upgrade.py: Upgrade code to TensorFlow 1.0 from TensorFlow 0.11.

Running the script from pip package

First, install TensorFlow pip package*. See https://www.tensorflow.org/install/pip.

Upgrade script can be run on a single Python file:

tf_upgrade_v2 --infile foo.py --outfile foo-upgraded.py

It will print a list of errors it finds that it can't fix. You can also run it on a directory tree:

# upgrade the .py files and copy all the other files to the outtree
tf_upgrade_v2 --intree coolcode --outtree coolcode-upgraded

# just upgrade the .py files
tf_upgrade_v2 --intree coolcode --outtree coolcode-upgraded --copyotherfiles False

*Note: tf_upgrade_v2 is installed automatically as a script by the pip install after TensorFlow 1.12.

Report

The script will also dump out a report e.g. which will detail changes e.g.:

'tensorflow/tools/compatibility/testdata/test_file_v1_12.py' Line 65
--------------------------------------------------------------------------------

Added keyword 'input' to reordered function 'tf.argmax'
Renamed keyword argument from 'dimension' to 'axis'

    Old:         tf.argmax([[1, 3, 2]], dimension=0)
                                        ~~~~~~~~~~
    New:         tf.argmax(input=[[1, 3, 2]], axis=0)

Caveats

Don't update parts of your code manually before running this script. In particular, functions that have had reordered arguments like tf.argmax or tf.batch_to_space will cause the script to incorrectly add keyword arguments that mismap arguments.
This script wouldn't actually reorder arguments. Instead, the script will add keyword arguments to functions that had their arguments reordered.
The script assumes that tensorflow is imported using import tensorflow as tf.
Note for upgrading to 2.0: Check out tf2up.ml for a convenient tool to upgrade Jupyter notebooks and Python files in a GitHub repository.
Note for upgrading to 1.0: There are some syntaxes that are not handleable with this script as this script was designed to use only standard python packages. If the script fails with "A necessary keyword argument failed to be inserted." or "Failed to find keyword lexicographically. Fix manually.", you can try @machrisaa's fork of this script. @machrisaa has used the RedBaron Python refactoring engine which is able to localize syntactic elements more reliably than the built-in ast module this script is based upon. Note that the alternative script is not available for TensorFlow 2.0 upgrade.