terminal

What am I missing ?

where is it running? could you restart all the dockers ? Is it running on your machine?

and this link on it's own works?
if it does, open your browser dev tools (ctrl+shift+I on chrome, I think), I'm assuming you will see a few errors on CORS or the alike, paste them here

Hi @<1729309131241689088:profile|MistyFly99>
notice that the files server need to have an "address" that can be accessed from the browser, data is stored in a federated manner. This means your browser is directly accessing the files server, not through the API server, I'm assuming the address is not valid?

WackyRabbit7 I do 'pkill -f trains' but it's the same... If you need to debug and test run with --foreground and just hit ctrl-c to end the process (it will never switch to background...). Helps?

JitteryCoyote63 nice hack 😄
how come it is not automatically logged as console output ?

Can you see it on the console ?

Try adding this environment variable:
export TRAINS_CUDA_VERSION=0

Also there was a truck that worked in the previous big, could you zoom out in the browser, and see if you suddenly get the plot?

Nice workaround!
RoughTiger69 how do I reproduce this behavior? (I'm still unsure on why exactly the clearml binding broke it, and would like to fix that)
(can you also provide the crash trace, maybe that could help as well)

JitteryCoyote63 There is a basic elastic license that should always be there. If for some reason it was deleted/expired then the following command should fix it:
curl -XPOST ' http://localhost:9200/_xpack/license/start_basic '

JitteryCoyote63 is this still an issue?

Hmm I see what you mean. It is on the roadmap (ETA the next version 0.17, 0.16 is due in a week or so) to add multiple models per Task so it is easier to see the connections in the UI. I'm assuming this will solve the problem?

Hi JitteryCoyote63 ,
These properties are usually not available on the UI and are used internal, hence the lack of documentation. Regrading parent property, it will hold a parent Task.id (str) , that said it has no real effect on the Task itself. You can however search for Tasks with a specific parent ID (For examples, this is how the the hyper parameter class is using this property)

I'll try to find the link...

Hi PungentLouse55 ,
I think can see how these magic lines solved it, and I think you are onto something.
Any chance what happened is multiple workers were trying to simultaneously save/load the same Model ?

btw: both should work fine

CooperativeFox72 we are aware of Pool throwing exception that causes things to hang. Fix will be deployed in 0.16 (due to be released tomorrow).
Do you have a code to reproduce it, so I can verify the fix solves the issue?

BTW: what's the use case? Why do you need to open two Tasks in the same code/script ?

Okay this is indeed reported in the UI, but the trains-agent is running the experiment, and seems to be failing to clone the repository in question.
Seems like a "https" error, git is actually failing to clone the repository error: RPC failed; curl 56 GnuTLS recv error (-54): Error in the pull function.
Can you manually run the clone command on that machine ? I would guess there is some kind of firewall sitting in the middle of the https connection, and that is causing the git to ...

DeliciousSeal67 the agent will use the "install packages" section in order to install packages for the code. If you clear the entire section (you can do that in the UI or programmatically) then it will revert to requirementsd.txt
Make sense ?

JitteryCoyote63 could you send the log maybe ?

Hi @<1720249416255803392:profile|IdealMole15>
I'm assuming you mean on a remote machine with clearml-agent running ?
If you do, then you either use clearml-task to create a Task (Job) and specify the container and script. or click on "Create New Experiment" in the UI, and fill out the git repo / script and specify the docker image.
Make sense?

sorry the point where you select the interpreter for pycharm

Oh I see...

Let me check

because it should have detected it...
Did you see "Repository and package analysis timed out ..."

simply record the type of each argument when you store it, and keep it in the database, unbeknownst to the user, what do you say?

This is now supported, but then you still need to flatten the dict.
Maybe we can just support "empty_dict/new_value = 42" if the original was "empty_dict = {}"
WDYT?

Hi SubstantialElk6
Could you test with the latest RC6 ?
pip install clearml==0.17.5rc6

If possible, i would like all together prevent the fileserver and write everything to S3 (without needing every user to change their config)

There is no current way to "globally" change the default files server (I think this is part of the enterprise version, alongside vault etc.).
What you can do is use an OS environment to override the conf file:
CLEARML_FILES_HOST=" "PricklyRaven28 wdyt?