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38 × Eureka!BTW why using the api calls and not clearml sdk?
Because the training part is only the sub system of our whole system.
And the python stuff is not facing to the web, where training request is coming.
now I am going AFK.
Thanks for your support!
We have a web server which accepts various requests and manages database resources.
This web server arranges the request and creates a task on the clearml api server, which is running an internal network.
Um..
and if you clone the local task run and enqueue it to the agent?
It failed.
Saying: Could not read from remote repository.
The labels are attached for that clone task output model.
Even though I called task.connect_label_enumeration
, there is no data to show on the output model.
I confirmed that worked if it is not started by an agent.
Relating to it but another question.
With that task, which is running under an agent, task.connect_label_enumeration
does not look working.
Is it handling data just in a form of regular files?
Hi JitteryCoyote63 ,
Oh, you have somethings, Nice!
I will look into that document, thanks!
I mean, the output model comes with the labels which is posted.
Hm, clearml-data looks very much like git.
No, I have checked it on the web frontend, following the model link and the LABELS tab.
As for the versionsroot@120eb0cddb60:~# pip list | grep clearml clearml 0.17.5 clearml-agent 0.17.1
Does this task
(started by an agent) have some limitation?
Like being disabled to connect labels?
Is there any example of how to use clearml-data
?
Maybe I should have clone the repo with https instead of ssh.
For the agent run, I posted only the following params:
name project script typeto tasks.create
endpoint and let an agent to pick it.
But maybe we should have a cmd line that just outputs the current datasetid, this means it will be easier to grab and pipe
That sounds good.
It definitely helps!
I tried clearml.model.InputModel
and successfully downloaded a model.
Is this an expected way to consume a trained model for inference?
Can you run this one -
 ?
Do you get the labels for both local and clearml-agent run?
Okay, I did the example.
For the local run, I got the labels.
For the agent run, I did not get the labels.
By the way, we found that when I added labels param and post a tasks.create
request, it worked.
Well, yeah, it would be cleaner if we could go fully python.
But our system is already built and running, and now we are planning to add some training functionality.
The training part can be written in Python but the sample collecting part will be deeply connected to the existing system which is not written in python.
For now using CLI looks much reasonable for that part.