I tested 0.17.2 and 0.17.4

{"detail":"Error processing request: [Errno 2] No such file or directory: '~/.clearml'"}

nevermind! I have figured out my issue

I think it's still caching environments... I keep deleting the caches (pip, vcs, venvs-*) and running an experiment. it re-creates all these folders and even prints

Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.8/dist-packages (from requests>=2.20.0->clearml==1.6.4->prediction-service-utilities==0.1.0) (3.4)
Requirement already satisfied: charset-normalizer<4,>=2 in /root/.clearml/venvs-builds/3.8/lib/python3.8/site-packages (from requests>=2.20.0->clearml==1.6....

hiya Jake, how do I inject this with the extra_docker_shell_script setting?

where should I look for this folder?
I am talking about serving

can you elaborate a bit on the token side? i'm not sure exactly what would be a bad practice here

does this make more sense? SuccessfulKoala55

Hi SuccessfulKoala55 I am having some issues with this. I have put a concurrency limit of 2 and I can see 3 workers running

Is this a possible future feature? I have used cometML before and they have this. I'm not sure how they do it though...

using clearML agent

um, this line is not doing anything for me 🤔
controller_clearml_task = Task.current_task() controller_clearml_task.set_resource_monitor_iteration_timeout( seconds_from_start=10 )

in particular, I ran the agent with clearml-agent daemon --queue test-concurrency --create-queue --services-mode 2 --docker "ubuntu:20.04" --detached and enqueued 4 tasks to it that sleep 15 minutes.
I can see all 4 tasks running, see

yes

This is a minimal comet example. I'm afraid I don't know what it does under the hood.. There are no callbacks on the metrics tracked in model.fit and yet if you check out your project in the website, your training and validation losses are tracked automatically, live.

https://www.comet.ml/docs/python-sdk/keras/

Ok, going to ask the server admins, will keep you posted, thanks!

yes, in the corresponding task

right, I get the same error SuccessfulKoala55

well.. it initially worked but now i get the same thing 😕 SuccessfulKoala55

and this should force the model to be uploaded?

unicorn is an alias for the ip of the machine the server is hosted on

a model

see this for example

yes, docker compose

sure, thanks!

it says method not allowed when i try to access that url

` Using cached repository in "/root/.clearml/vcs-cache/DeployKit_cloud.git.3e6952dd2fa4054e353465fe2d40daa3/DeployKit_cloud.git"

fatal: Could not read from remote repository. `

web_server:

I can do curl http://localhost:8080 but it's a remote server so unless I do X forwarding I can't browse it