This tool allows you to upgrade your existing TensorFlow Python scripts. This script can be run on a single Python file:

tf_upgrade.py --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:

tf_upgrade.py --intree coolcode -outtree coolcode-upgraded

In either case, it will also dump out a report e.g. which will detail changes e.g.:

third_party/tensorflow/tools/compatibility/test_file_v0.11.py Line 125

Renamed keyword argument from `dim` to `axis`
Renamed keyword argument from `squeeze_dims` to `axis`

    Old:                   [[1, 2, 3]], dim=1), squeeze_dims=[1]).eval(),
                                        ~~~~    ~~~~~~~~~~~~~
    New:                   [[1, 2, 3]], axis=1), axis=[1]).eval(),
                                        ~~~~~    ~~~~~

• Don't update parts of your code manually before running this script. In particular, functions that have had reordered arguments like tf.concat, tf.split will cause the script to incorrectly add keyword arguments that mismap arguments.

• This script is not able to upgrade all functions. One notable example is tf.reverse() which has been changed to take a list of indices rather than a tensor of bools. If the script detects this, it will report this to stdout (and in the report), and you can fix it manually. For example if you have tf.reverse(a, [False, True, True]) you will need to manually change it to tf.reverse(a, [1, 2]).