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[Backport r0.8] Better user experience when the version of TF is not right. #1307

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Mar 14, 2020
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[Backport r0.8] Better user experience when the version of TF is not right. #1307

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51 changes: 32 additions & 19 deletions tensorflow_addons/utils/ensure_tf_install.py
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Original file line number Diff line number Diff line change
Expand Up @@ -17,27 +17,40 @@
# Ensure TensorFlow is importable and its version is sufficiently recent. This
# needs to happen before anything else, since the imports below will try to
# import tensorflow, too.

from distutils.version import LooseVersion
import warnings

import tensorflow as tf


warning_template = """
This version of TensorFlow Addons requires TensorFlow {required}.
Detected an installation of version {present}.

While some functions might work, TensorFlow Addons was not tested
with this TensorFlow version. Also custom ops were not compiled
against this version of TensorFlow. If you use custom ops,
you might get errors (segmentation faults for example).

It might help you to fallback to pure Python ops with
TF_ADDONS_PY_OPS . To do that, see
https://github.com/tensorflow/addons#gpucpu-custom-ops

If you encounter errors, do *not* file bugs in GitHub because
the version of TensorFlow you are using is not supported.
"""


def _ensure_tf_install():
"""Attempt to import tensorflow, and ensure its version is sufficient.
Raises:
ImportError: if either tensorflow is not importable or its version is
inadequate.
"""Warn the user if the version of TensorFlow used is not supported.
"""
import tensorflow as tf
import distutils.version

#
# Update this whenever we need to depend on a newer TensorFlow release.
#
required_tensorflow_version = "2.1.0"

if distutils.version.LooseVersion(tf.__version__) < distutils.version.LooseVersion(
required_tensorflow_version
):
raise ImportError(
"This version of TensorFlow Addons requires TensorFlow "
"version >= {required}; Detected an installation of version "
"{present}. Please upgrade TensorFlow to proceed.".format(
required=required_tensorflow_version, present=tf.__version__
)
required_tf_version = "2.1.0"

if LooseVersion(tf.__version__) != LooseVersion(required_tf_version):
message = warning_template.format(
required=required_tf_version, present=tf.__version__
)
warnings.warn(message, UserWarning)