• Haven’t changed it, although I did change the host port to 8081 instead of 8080? Everything else seems to work fine tho.
• Sorry what do you mean? I basically just followed the tutorial

you need to set

CLEARML_DEFAULT_BASE_SERVE_URL: 

So it knows how to access itself

I did change the

instead of 8080?

So this is the issue

Hi @<1523701205467926528:profile|AgitatedDove14> , I already did the scikit learn examples, it works.

Also both endpoint_a and endpoint_b work when hitting them directly within the pipeline example. But not the pipeline itself.

I’m running it through docker-compose . Tried both with and without triton

Hmm still facing same issue actually…

print("This runs!")
predict_a = self.send_request(endpoint="/test_model_sklearn_a/", version=None, data=data)
predict_b = self.send_request(endpoint="/test_model_sklearn_b/", version=None, data=data)

print("Doesn't get here", predict_a, predict_b)

And still, hitting the endpoints independently using curls works. Are you able to replicate this? 

ahh yepp, that makes sense! Thank you so much!

Also what do you have in the "Configuration" section of the serving inference Task?

Hi @<1547028116780617728:profile|TimelyRabbit96>
Start with the simple scikit learn example
https://github.com/allegroai/clearml-serving/tree/main/examples/sklearn
The pipeline example is more complicated, it needs the base endpoints, start simple 😃

what do you have here in your docker compose :
None

This is odd, how are you spinning clearml-serving ?
You can also do it synchronously :

predict_a = self.send_request(endpoint="/test_model_sklearn_a/", version=None, data=data)
predict_b = self.send_request(endpoint="/test_model_sklearn_b/", version=None, data=data)