Or maybe I'm wrong

Oh

Do let me know about the cpu cores

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

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?

Super sorry for being a bit late!

What is the detached flag for?

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

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

Hey, thanks for the reply
I have another question ;
Are Kwargs supported in functions decorated as a pipeline component?

That aside, adding mock doesn't really change the error above though

This is the error that I get:

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 !

What exact ly does the error mean

So, I replaced line 65 in your docker-compose file with image: elasticsearch:7.16.2 so that it pulls the image from the dockerhub registry than the registry at http://docker.elastic.co , I just want to confirm if this is okay with the functioning of clearml

I have hidden the host name as well

We're initialising a task to ensure it appears on the experiments page;
Also not doing so gave us issues of ‘Missing parent pipeline task’ for a set of experiments we had done earlier

Nop e

Because it is pulling from http://docker.elastic.co , can I replace that one with the image available on docker hub?

Thanks a lot David!

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

Here's the code we're testing

However, I use this to create an instance of a dataloader(torch) this is fed into my next stage in the pipeline - though I import the local modules and add the folders to the path it is unable to unpickle the artifact

Alright then, the server worked as it should so far, thanks 😄

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

A simple StorageManager.download_folder(‘url’)
My minio instance is hosted locally, so I'm providing an url like ‘ http://localhost:9000/bucket-name%E2%80%99

Also, does clearml by default upload models if we save them using torch.save?

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