aaltay commented on pull request #14888: URL: https://github.com/apache/beam/pull/14888#issuecomment-857036083
> > > That is strange because I'd expect only tf-nightly to depend on keras-nightly. > > > > > > It turns out tensorflow==2.5.0 depends on keras-nightly ~=2.5.0.dev. I can reproduce it in a clean virtual environment. I will file a bug. > > It was added here: [tensorflow/tensorflow@d171d94](https://github.com/tensorflow/tensorflow/commit/d171d94d899cc73e18bd8b2b11b5c320ea7aac2c) > > Can you please link the tensorflow issue for future reference. In the Java side we do not allow to include any SNAPSHOT dependency because of the lack of reproducibility. Is this ok to do on the python side? I did not file a bug on their public issue tracker. The summary of the response was this was not intentional and it will be fixed in the next tensorflow release. If it helps, I can ask for a public bug for that. I do not think this is ok on python, and it was a bug. On the license side, I think we are ok. Because even the tool was failing to parse, there is a license and apparently we have a file on our repo to manually track licenses for packages if the tooling we use fails. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected]
