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38 × Eureka!Is it handling data just in a form of regular files?
Hm, clearml-data looks very much like git.
Does this task (started by an agent) have some limitation?
Like being disabled to connect labels?
For the agent run, I posted only the following params:
name project script typeto tasks.create endpoint and let an agent to pick it.
Relating to it but another question.
With that task, which is running under an agent, task.connect_label_enumeration does not look working.
Hi JitteryCoyote63 ,
Oh, you have somethings, Nice!
I will look into that document, thanks!
The labels are attached for that clone task output model.
now I am going AFK.
Thanks for your support!
I mean, the output model comes with the labels which is posted.
Maybe I should have clone the repo with https instead of ssh.
Is there any example of how to use clearml-data ?
I will set repository url as https and retry.
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.
Yeah, as I have known that, now the CLI looks much more familiar to me.
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.
Yeah, what I have done is uploaded:
https://github.com/kayhide/PyTorch-YOLOv3/tree/clearml
This is a fork of well-known torch yolo sample and adapted to clearml.
Um..
and if you clone the local task run and enqueue it to the agent?
It failed.
Saying: Could not read from remote repository.
As for the versionsroot@120eb0cddb60:~# pip list | grep clearml clearml 0.17.5 clearml-agent 0.17.1
By the way, we found that when I added labels param and post a tasks.create request, it worked.
No, I have checked it on the web frontend, following the model link and the LABELS tab.
I tried clearml.model.InputModel and successfully downloaded a model.
Is this an expected way to consume a trained model for inference?
Even though I called task.connect_label_enumeration , there is no data to show on the output model.
GrumpyPenguin23 Hi, thanks for your instruction!
Putting some metadata into the model sounds nice.
I was exactly wondering how to take care of labels and being afraid of handling them as a dataset even when inferring.