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

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...

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 ?

That's alright?

Also, does PipelineDecorator.upload_model store anything on the fileserver ? I can't seem to understand the use of PipelineDecorator.upload_model() apart from making a model appear on the pipeline task

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

It's the same file from the raw github link

SuccessfulKoala55 Any leads f or the above error i n running the script?

What exact ly does the error mean

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

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 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

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 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

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

Yes, I can pull other containers from dockerhub

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

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

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.

Not local .py files

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.

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

I suppose the issue is only with the elastic search registry

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

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

Here's the code we're testing

Do let me know about the cpu cores

Simple doubt

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