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

Failed processing request http://localhost:8008/auth.login : 'Logger' object is not callable

i think the call is wrong

since its a logger object

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

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

` [2022-08-18 20:58:49,892] [9] [INFO] [clearml.request_handlers] GET
[2022-08-18 20:58:49,895] [9] [INFO] [clearml.request_handlers] Basic NUtORklQWUIzM0tIVUFRNUI4SkM6eU4yUXE4RTNvWDlpYlBRVmF1NEpiQXZQMHlUdHozNUluZVY4ZkpuZXNTRnRYbmRlR3I=
[2022-08-18 20:58:49,904] [9] [INFO] [clearml.service_repo] Returned 200 for auth.login in 6ms
[2022-08-18 20:58:50,059] [9] [INFO] [clearml.request_handlers] GET
[2022-08-18 20:58:50,060] [9] [INFO] [clearml.request_handlers] Basic NUtORklQWUIzM0tIVUFRNUI4SkM...

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 got these extra logs

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

alternatively you could create a new OutputModel like here: https://github.com/allegroai/clearml/blob/master/examples/reporting/model_reporting.py , not sure if there is a way to stop the automatic uploading

not sure if it will work but its worth a try

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

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

` 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...

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

i.e.
Task.update_output_model(name="custom_model")

model*

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

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