Hello, In GAE Standard you cannot change the pip version, however in GAE Flex you can build your own runtime based on a GCP official image and then add a step before installing requirements to force use a specific or latest pip version using something like "python3 -m pip install --user --upgrade pip==9.0.3"
Generically speaking I recommend that you use GAE Flex for Tensorflow, but keep in mind that you need to double-check the logs for any other issues. There might be more things going wrong but it just stops at the first error. Also, you can follow this Public Issue that seems to be almost identical to stay updated on any progress[1] [1]: https://issuetracker.google.com/131663964 On Monday, April 20, 2020 at 2:25:30 PM UTC+2, Villem Kand wrote: > > I am trying to start a web service through Flask with the app engine, and > I require tensorflow 2.1.0 to load a model I trained for this. > > However in the requirements.txt when I enter tensorflow==2.1.0 it throws > me an error, because the pip version is too old, and I seemingly cannot > install the new pip before tensorflow is searched for. What do I do in this > situation? > -- You received this message because you are subscribed to the Google Groups "Google App Engine" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/google-appengine/6d728cc2-15bc-4cb0-b53e-9f496cfc420d%40googlegroups.com.
