version: "3.6"
services:

apiserver:
command:
apiserver
container_name: clearml-apiserver
image: allegroai/clearml:latest
restart: unless-stopped
volumes:
/opt/clearml/logs:/var/log/clearml
/opt/clearml/config:/opt/clearml/config
/opt/clearml/data/fileserver:/mnt/fileserver
depends_on:
redis
mongo
elasticsearch
fileserver
environment:
CLEARML_ELASTIC_SERVICE_HOST: elasticsearch
CLEARML_ELASTIC_SERVICE_PORT: 920...

It's the same file from the raw github link

Yes, I can pull other containers from dockerhub

David,
I haven't provided a monitor_model parameter

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

Hey David , I was able to get things uploaded to the fileserver by a change in the conf

I have hidden the host name as well

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

How do I provide an output storage destination for that stage of the pipeline?

Hey We figured a temporary solution - by importing the modules and reloading the contents of the artefact by pickle. It still gives us a warning, though training works now. Do send an update if you find a better solution

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?

Super sorry for being a bit late!

Thank you so much for being active!

Sure, in a moment

Im using the clearml-serving for repo and running the docker-compose file there to set it tip ,
But im also running the clearml server on my machine self - hosted

Thanks a lot David!

stuff is a package that has my local modules - I've added it to my path by sys.path.insert, though here it isn't able to unpickle

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

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.

Umm I suppose that won't work - this package consists of .py scripts that I use for a set of configs and Utils for my model.

I tried it - it works for a library that you can install, not for something local I suppose

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

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

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

Nop e

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?

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

DefiantHippopotamus88 did you get it working?