It doesn't help that the stacktrace isn't very verbose

thanks for the speedy response!

`
2021-10-19 14:19:07
Spinning new instance type=aws4gpu
Error: Can not start new instance, An error occurred (InvalidParameterValue) when calling the RunInstances operation: Invalid availability zone: [eu-west-2]
Spinning new instance type=aws4gpu
ClearML Monitor: GPU monitoring failed getting GPU reading, switching off GPU monitoring
Error: Can not start new instance, An error occurred (InvalidParameterValue) when calling the RunInstances operation: Invalid availability zone: [eu-west-2]
S...

I was having an issue with availability zone. I was using 'eu-west-2' instead of 'eu-west-2c'

echo -e $(aws ssm --region=eu-west-2 get-parameter --name 'my-param' --with-decryption --query "Parameter.Value") | tr -d '"' > .env set -a source .env set +a git clone https://${PAT}@github.com/myrepo/toolbox.git mv .env toolbox/ cd toolbox/ docker-compose up -d --build docker exec -it $(docker-compose ps -q) clearml-agent daemon --detached --gpus 0 --queue default

Hi AgitatedDove14 ,

I noticed that ClearML parses clearml.automation.UniformParameterRange to configuration space to be used with BOHB. When I've used BOHB previously I can use UniformFloatHyperparameter from the configuration space package that allows me to set a parameter in logspace. That is the range is defended by something like numpy.logspace rather than numpy.linspace

great thank you it's working. Just wanted to check before adding all env vars 🙂

Still debugging.... That fixed the issue with the
nvcr.io/nvidia/tritonserver:22.02-py3 container which now returns
` =============================
== Triton Inference Server ==

NVIDIA Release 22.02 (build 32400308)

Copyright (c) 2018-2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.

Various files include modifications (c) NVIDIA CORPORATION. All rights reserved.

This container image and its contents are governed by the NVIDIA Deep Learning Co...

I've got it... i just remembered I can call
task_idfrom the cloned tasked and check the status of that 🙂

Yes already tried that but it seems there's some form of mismatch with a C/C++ lib.

$ curl -X 'POST' ' ' -H 'accept: application/json' -H 'Content-Type: application/json' -d '{ "url": " " }' {"digit":5}

thanks

Hey having a few issues with this

ahhh okay thank you 🙂

cool thanks - I'll try it out

this is the response. We are using the clearml hosted server

(deepmirror) ryan@ryan:~$ python -c "import clearml print(clearml.__version__)" 1.1.4

Yay 🥳

yes exactly

the Model object

Hi SuccessfulKoala55 yes I can see the one upload using 1.6.1 but all old datasets have now been remove. I guess you want people to start moving over?

dw got it https://clearml.slack.com/archives/CTK20V944/p1634131822017500

Thanks JitteryCoyote63 , I'll double check the permissions of key/secrets and if no luck I'll check with the team

Usually that is shown here... for some reason it's not showing

great thank you

we normally do something like that - not sure what why it's freezing for you without more info

Hi SuccessfulKoala55 thanks I didn't know it was possible to use in place of the pw. So in the .conf I can just add the git PAT instead of pw?

git_user: ${GITHUB_USER} git_pass: ${GITHUB_PAT}

Hi SuccessfulKoala55 who's the best person on the team to speak with?

I'll let you know what happens

<queues.GetQueueMetricsResponse: { "queues": [] }>