Open SageAgastya opened 3 years ago
Hi @SageAgastya,
I assume that you're attempting to apply the patch
function from the PyPI distribution. We have paused development in the middle of a major update and will not be able to make changes to the PyPI distribution anytime soon. However, even if version 1.9 of TensorFlow had a version
attribute, and therefore didn't exit with a TypeError
for that reason, the patch
code would proceed to exit with another TypeError
and a message saying, "No patch available for version 1.9 of TensorFlow".
The patch function is not intended to be executed on any NGC TensorFlow containers nor on versions of stock TensorFlow earlier than 1.14 and is designed to throw a TypeError
if that is attempted.
I hope this helps. I'm going to close this issue, but I'm happy to continue this discussion, if you wish.
Duncan
Actually, I'm going to leave this open so that it serves as a marker to possibly address this issue in a future release. We could check if there is a version
attribute and if there is none then we could assume that the TensorFlow version is earlier than 1.14.
Thank you, @SageAgastya, for bringing this to my attention.
I am getting AttributeError for tf 1.9, saying that tensorflow doesn't have "version" as attribute. Can you help?