going to double check that rn

the task is stil running

@<1523701070390366208:profile|CostlyOstrich36> yes it indeed shows up when running it locally

^ it works if i do that and use the jupyter credentials from my work space settings.

The only difference that i notice is that when i run it locally the task is completed

%env CLEARML_WEB_HOST={-----}
%env CLEARML_API_HOST={-----}
%env CLEARML_FILES_HOST=undefined
%env CLEARML_API_ACCESS_KEY={-----}
%env CLEARML_API_SECRET_KEY={-----}

@<1523701070390366208:profile|CostlyOstrich36> maybe cause sagemaker is running in headless mode

but none the less I’ll continue with this work around thanks!

import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from clearml import Task

# Connecting ClearML with the current process,
# from here on everything is logged automatically
# Create a new task, disable automatic matplotlib connect
task = Task.init(project_name='Something', task_name='Something')

# Create plot and explicitly report as figure
N = 50
x = np.random.rand(N)
y = np.random.rand(N)
colors = np.random.rand(N)
area = (30 * np.random.rand(N))**2  # 0 to 15 ...

although i wish it would use the credentials in my clearml.conf file automatically

^ self hosted @<1523701070390366208:profile|CostlyOstrich36>

you can try to update the clearml.conf it has agent.cuda_version

https://clear.ml/docs/latest/docs/configs/clearml_conf/

from the clearml logs when setting up the clearml server using kubernetes

ahh i see so one Task has multiple models that are trained

you can use Task.update_output_model() to update the name of the output moel

1000%

AgitatedDove14 yes it is a flask warning, i'm wondering why the clearml server isn't setup with wsgi?

i see what you are saying I dont thinl there would be anything on my system which might do that i can investigate

` from argparse import ArgumentParser

from flask import Flask

from apiserver.config_repo import config
from apiserver.server_init.app_sequence import AppSequence
from apiserver.server_init.request_handlers import RequestHandlers

app = Flask(name, static_url_path="/static")
AppSequence(app).start(request_handlers=RequestHandlers())

=================== MAIN =======================

if name == "main":
p = ArgumentParser(description=doc)
p.add_argument(
"--po...

i'm looking at the server.py file and it doesn't have call = self. create_api_call(request)

SuccessfulKoala55 thanks alot for your help i greatly appreciate it, i think you are right that there is something happening with the request, I did some checking i can get it running on another computer (my non work computer), so i think you are right there must be something happening with my work related computer which is causing this to occur 😕 I'll keep trying to drill down on this issue on my work computer to see what the difference is, but I can atleast proceed now to as i g...

i think the call is wrong

should it be http://log.info (...)

@<1523701827080556544:profile|JuicyFox94> thanks for the reply, I’ll create a github issue 🙂 !

if you go here https://clear.ml/docs/latest/docs/deploying_clearml/clearml_server_aws_ec2_ami you can see you can launch a community ami and if you go here https://clear.ml/docs/latest/docs/deploying_clearml/clearml_server_aws_ec2_ami/#clearml-server-aws-community-amis you will see the list of community AMI’s you can launch

model*

https://clear.ml/docs/latest/docs/references/sdk/task#update_output_model

yeah