You can see the version if you go to settings page. It is in the bottom right of the screen 🙂
Hi @<1523701122311655424:profile|VexedElephant56> , I think is achievable with Slurm + ClearML, however I don't think something like this out of the box exists
Hi @<1523707653782507520:profile|MelancholyElk85> , in Task.init()
you have the auto_connect_frameworks
Parameter.
And how is the model being saved?
You have a self hosted server, several agents that are running and two users developing on their own machines but the training is done elsewhere?
Hi @<1570220852421595136:profile|TeenyHedgehog42> , the docker images are stored together with all images - this is managed by docker and not clearml
You're right, I forgot, ClearML-Agent also tries to match a version to something that will work on the system it's running on
@<1523701087100473344:profile|SuccessfulKoala55> , what is the intended behavior?
Hi AdventurousButterfly15 ,
When running code locally, how are the installed packages detected? Does it detect your entire venv or does it detect only the packages that were used?
Hi @<1533620191232004096:profile|NuttyLobster9> , what version of clearml
SDK are you using and is it a self hosted server or not?
Hi @<1576381444509405184:profile|ManiacalLizard2> , I don't think such a capability currently exists. I would suggest opening a github feature request for this. As a workaround you could zip them up together and then bind them to an output model.
What do you think?
Hi @<1587615463670550528:profile|DepravedDolphin12> , can you please add the full log?
Hi @<1587615463670550528:profile|DepravedDolphin12> , can you please provide a link to the doc you read?
Just making sure we cover all bases - you changed updated the optimized to use a base task with _allow_omegaconf_edit_ : True
Usually the location is on the file server at opt/clearml/data/fileserver
The addresses seems strange, is this the hostname?
It seems like a mix between hostname and IP?
Make sure to fetch the logger manually and not construct it yourself 🙂
What optimization method did you use? Can you add a log of the HPO app? It's in hidden projects (Go to settings and enable viewing hidden projects).
Also, what are the values that the cloned experiments get?
And finally 🙂
Can you try with values 0 and 1 without the decimal points at the end?
ZanyPig66 , Hi.
To use a custome docker image with ClearML you need to have that image locally on the machine that is runing the agent. In the experiment you can specify the docker image either via UI (in the Execution -> Container sections)
Or in code like this:task.set_base_docker(docker_image="python:3.9-bullseye")
DepressedFish57 , Hi 🙂
What do you mean by downloading a previous part of the dataset? get_local_copy
fetches the entire dataset if I'm not mistaken. Am I missing something?
PunyWoodpecker71 , regarding the REST API:
The format would be something like this:base_url/endpoint
Where base_url
would be the api_server
as configured in your ~/clearml.conf
and the endpoint is any endpoint you choose from the docs 🙂
Username/password are the access_key
/ secret_key
as also configured in ~/clearml.conf
(You can get it from the UI)
content-type is application/json
And of course it's a POST 🙂
Hi @<1546303277010784256:profile|LivelyBadger26> , can you provide a snippet that reproduces this?
Hi @<1754676274460102656:profile|CurvedStarfish68> , it takes some time until metrics are updated. I suggest deleting a few more experiments and waiting.
I see. I'm guessing you have pretty extensive use in the form of artifacts/debug samples. You can lower the storage usage by deleting some experiments/models though the UI. That should free up some space 🙂
Does it give you any error while deleting the experiments?
Hi @<1666253626772819968:profile|SmoggyDog77> , this is indeed a very interesting and somewhat complicated use-case! I think ClearML can support all of your current needs and any that might rise in the future.
I would suggest to contact ClearML directly to get a better idea of how ClearML can assist your MLOps efforts.
The suggested method from my experience would be via the contact form - None
Hi @<1724960468822396928:profile|CumbersomeSealion22> , what was the structure that worked previously for you and what is the new structure?
Hi @<1523701797800120320:profile|SteadySeagull18> , can you please elaborate on what you mean?
GrievingTurkey78 Hi!
What versions of clearml
and clearml-agent
are you using? Also for how long were the experiments were going?
Seems like agent is still reporting iterations and usage for the experiment so what do you mean by stopped?
@<1624579015031394304:profile|JitterySeal56> , is it possible there are connectivity issues between the client and the server? Do you see anything in the logs of the apiserver?