I had initially just pasted the new credentials in place of the existing ones in my conf file;
Running clearml-init now fails at verifying credentials

Configuration completed now; I t was a proxy issue from my end
However running my pipeline from a different m achine still gives me a problem

This is the error that I get:

2022-07-12 13:41:39,309 - clearml.Task - ERROR - Action failed <400/12: tasks.create/v1.0 (Validation error (error for field 'name'. field is required!))> (name=custom pipeline logic, system_tags=['development'], type=controller, comment=Auto-generated at 2022-07-12 08:11:38 UTC by mbz1kor@BMH1125053, project=2ecfc7efcda448a6b6e7de61c8553ba1, input={'view': {}})

Traceback (most recent call last):

File "main.py", line 189, in <module>

executing_pipeline( 

File "/home/mbz1kor...

Here's what I get for the initial set up stage of clearml-serving

Hey so I was able to get the local .py files imported by adding the folder to my path sys .path

DefiantHippopotamus88 did you get it working?

I replaced local host with the host name of the server in the credentials

AgitatedDove14 Doesn't look like the same error as that thread.

Tried all three solutions right now;
Oddly enough it doesn't work :(

So I did exactly that, and the name and path of the model on the local repo is noted;
However, I want to upload it to the fileserver

Hey, is it possible for me to upload a pdf as an artefact?

Basically I have a script that generates a pipeline report in pdf format, was wondering if that can be logged

Is there a way to store the return values after each pipeline stage in a format other than pickle?

Yep, the pipeline finishes but the status is still at running . Do we need to close a logger that we use for scalers or anything?

How would you structure PyTorch pipelines in clearml? Especially dealing with image data

Yep, no clue why I had two of them either;
It started my pipeline and a few seconds in, another pipeline shows up

Not local .py files

More context:
I have agents running the stages and the pipeline being executed locally here.

Also, if I were to move to g pu machines, how do I assign more cores to a worker or so?

Do let me know about the cpu cores

More context:
I'm using agents to remotely execute the pipeline,
A weird observation is that adding ‘import timm’ to the pipeline controller doesn't make the agent running the pipeline controller install timm.
Adding to this,
Here I want to run the entire pipeline remotely - both the controller and the components run on agents

How do I provide a specific output path to store the model? (Say I want to server to store it in ~/models)
I'm training my model via a remote agent.
Thanks to your suggestion I could log the model as an artefact(using PipelineDecorator.upload_model()) - but only the path is reflected; I can't seem to download the model from the server

Also,
How do I just submit a pipeline to the server to be executed by an agent?
Currently I am able to use P ipeline Decorator.run_locally() to run it ;
However I just want to push it to a queue and make the agent do it's trick, any recommendations ?

Thanks a lot David !

http://localhost:9000 http://localhost:9000/%3Cbucket%3E
My minio instance is hosted locally at the 9000 port.

Can PipelineDecorator.upload_model be used to store models on the clearml fileserver?

Thanks for actively replying, David
Any update on the example for saving a model from within a pipeline( specifically in .pth or h5 formats?)