Commits, that are not pushed to the repo

Can I do this to specify which worker should execute that task?
CLEARML_WORKER_NAME=<worker_name> clearml-agent execute --id <task_id>

AgitatedDove14 do you know if it possible not to open ports on machines B_i where agents reside?

But stucks at the same moment when using docker

clearml-agent daemon --docker --foreground --debug
usage: clearml-agent [-h] [--help] [--version] [--config-file CONFIG_FILE] [--debug]
{execute,build,list,daemon,config,init} ...
clearml-agent: error: unrecognized arguments: --debug

I also see, that I can't abort a task

I am referring to something like Ray framework has https://docs.ray.io/en/latest/ray-core/tasks.html#specifying-required-resources

WARNING: You are using pip version 20.1.1; however, version 21.3.1 is available.
You should consider upgrading via the '/usr/bin/python3 -m pip install --upgrade pip'
command.
Retrying (Retry(total=239, connect=239, read=240, redirect=240, status=240)) after co
nnection broken by 'NewConnectionError('<urllib3.connection.HTTPConnection object at
` 0x7faf9da78400>: Failed to establish a ...

The use case was that server with repo wasn't responding for a while and I was thinking how to solve that. Thanks for the answer!

it still stucks at the same moment

when is server created on my local machine, when I do clearml-init ?

no, it is everything on my local machine

I haven't change any port mapping

Because it has no coincidence with some specific actions

thank you, it worked

What is interesting, it works when using virtual environment setup

AgitatedDove14 do I need to have the repo that I am running on my account? Even if it is public repo, like repo with your (clearml) examples:

SOURCE CODE
REPOSITORY
https://github.com/allegroai/clearml.git
BRANCH NAME
Latest in branch master
SCRIPT PATH
pytorch_matplotlib.py
WORKING DIRECTORY
examples/frameworks/pytorch

?

There is a git repo 🙂 my question was to clarify if I understand well. Thank you for response :)

building from code: pipe.add_step()2. not locally, but also not with services queue
pipe.set_default_execution_queue(DEFAULT_EXECUTION_QUEUE)
Is there a need to use just services queue?

From UI: right click, abort

more or less

Wow, that looks insteresting 🙂 Thank you, AgitatedDove14

I assume, that even this is a thing that we would need:
https://clear.ml/docs/latest/docs/references/sdk/hpo_parameters_discreteparameterrange

But I would need to re-init this class when set of parameters, changes, right?

In fact, as I assume, we need to write our custom HyperParameterOptimizer, am I right?

CostlyOstrich36 have you ever seen something like my case maybe?

SuccessfulKoala55 thank you for the response; what about the second part of question (stopping)?

ubuntu

No, we have one server

Ok, thanks!

docker mode