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

Not local .py files

Removing the “” in my env file gives me a timeout issue

DefiantHippopotamus88 did you get it working?

Hey,
So I did change the host port on the docker -compose.yml file, here's the weird error:
Why is the url being parsed with “”
I have renamed example. en v to just .env so that docker -compose can recognise the env variables(—env-file never works for me)

So I'd have to make edits to the docker-compose file for clearml-serving; there would not be any issues arising due to that right?

Yes they have been set up as per the new credentials created on the server

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

Yes, I can pull other containers from dockerhub

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

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

Here's the code, we're trying to make a pipeline using PyTorch so the first step has the dataset that ’ s created using ‘stuff’ - a local folder that serves as a package for my code. The issue seems to be in the unpicking stage in the train function.

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

I'm facing the issue during the initial set up of clearml serving - i.e the step where you use docker-compose to launch the serving containers

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

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

This issue was due to a wsl proxy problem; wsl’s host name couldn't be resolved by the server and that became a problem for running agents. It works fine on Linux machines so far, however.
So no worries :D

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

So I'm trying to run my pipeline file that runs a pipeline locally and logs metrics and stuff to the clearml server

Thank you so much for being active!

Nop e

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

Yep, that's exactly what's happening.
However here's what I want to do:
upload model to clearml’s fileserver and get the model url in the details for easy download

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

So I am able to access it via sending requests to the clearml fileserver but, any way to access it from the dashboard(the main app)?

Sure, in a moment

I have hidden the host name as well

It's the same file from the raw github link

I'm asking this because my kwargs is observed as an empty dict if printed