This is strange. Exactly same code works for me. What version of clearml are you using? What version is your server?
Hi :)
I found a comparison here:
https://clear.ml/blog/stacking-up-against-the-competition/
As far as I am aware, there is an on-prem enterprise solution
Hi GloriousPenguin2 , can you please elaborate more on the exact scenario and add the full error? Is it coming from the controller?
This is strange. Can you take a look inside the apiserver and webserver docker logs to see if any errors pop up?
Hi @<1578555761724755968:profile|GrievingKoala83> , there is no such capability in the open source. To add new users you need to edit the users file.
In the Scale/Enterprise licenses you have full user management including role based access controls
Hi @<1693795218895147008:profile|FlatMole2> , is it possible that the apiserver.conf file isn't persistent and somehow changes?
You can read up on the caching options in your ~/clearml.conf
You can make virtualenv creation a bit faster
Hi EnormousCormorant39 , how did it fail?
It isn't a bug, you have to add the previews manually through reporting. For example:
ds = Dataset.create(...) ds.add_files(...) ds.get_logger().report_media(...)
Hi EcstaticBaldeagle77 ,
I'm not sure I follow. Are you using the self hosted server - and you'd like to move data from one self hosted server to another?
Hi @<1719524641879363584:profile|ThankfulClams64> , how are you reporting debug samples?
SubstantialElk6 , you can find some neat examples here:
https://github.com/allegroai/clearml/tree/master/examples/pipeline
Hi 🙂
Regarding the input issue - Try defining in your ~/clearml.conf
the following: sdk.development.default_output_uri
to wherever you want it uploaded. I'm guessing that when you're running the original input model is created through the script and downloaded?
Regarding tagging - I think you need to connect tags individually to output models if you wanna connect it only to outputs
You can try, but I don't think so.
Hi @<1546303269423288320:profile|MinuteStork43> , how did you set the apiserver in clearml.conf
?
Hi RoundMole15 , what version of clearml
are you using? Also how is the model being saved without ClearML?
Is that what you're looking for?
SwankySeaurchin41 , I think you don't need to connect pipelines. Think of pipeline as a DAG execution. You can build it anyway you want 🙂
Hi RattyLouse61 , how are you adding users? Are you adding them as fixed users in one of the configuration files?
Looks like you're trying to do fetch something and then do something to it, that's why there's a TypeError regarding a NoneType. Do you know where in the code the traceback occurs?
Hi @<1659005876989595648:profile|ExcitedMouse44> , you can simply configure the agent not to install anything and just use the existing environment 🙂
The relevant env variables for this are: CLEARML_AGENT_SKIP_PIP_VENV_INSTALL
CLEARML_AGENT_SKIP_PYTHON_ENV_INSTALL
None
Hi @<1523701868901961728:profile|ReassuredTiger98> , you can fetch the task object, there one of the attributes of the task is it's worker. This way you can see on what machine it is running 🙂
Hi @<1675675722045198336:profile|AmusedButterfly47> , what is your code doing? Do you have a snippet that reproduces this?
TartSeal39 , Hi 🙂
Do I understand correctly that you want to push parameters for Task.create() from a .yml file?
Hi SparklingHedgehong28 , can you please elaborate on the steps you take during the process + how you connect your config to the task?
Not sure, I would ask the DevOps team to check
JitteryCoyote63 , you mean insert temporary access keys or insert access keys temporarily?