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34 × Eureka!SuccessfulKoala55 we are looking into that as well .
The agent captures all output of a script, right?
It is the graph mode from TF1 and we use the mode still (in a session).
I will come up with a min working example (probably next week)
We wrap everything in a tf.function() like
` def f():
print('Tracing!')
tf.print('Executing')
tf.function(f)() `
It makes training much faster
Besides that, the procedure is the same, yes…
I have to look deeper into our codebase to see what exactly happens.
I navigated my way to the users in the database. The name of User 1 is exactly the same, however, the instances have different IDs and credentials.
Thanks.
We’d like to consolidate these users in the WebUI because it’s very clustered. Is there a way to consolidate their experiments under the same user? I’d probably have to scroll through all experiments and change them manually, right?
Does it make a difference for the autologging if this is done in graphmode ?
Yes, we can freely create different users
But the tasks should aways be connected to the same user, right?
Is there a way to use Google Auth on free tier?
What would happen if I deleted them out of the database?
for to the database and check the
user
collection in the
auth
database
How do I find this?
This would indicate the server created them on separate occasions
How can this be if the names are exactly the same?
Exactly. It’s hard to say for me whether this is an error on our end or yours. However, our setup is very rudimentary-->we basically use only the standard settings.
SuccessfulKoala55 I updated the mongo db (removed 2 users) but I still see them in the User Filter in the WebUI. Does it take longer to update that or do I have to do that manually?