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

SuccessfulKoala55 could we run a server with some verbose logging?

Yes, it is a good reason 🙂
Do you maybe know a tool that measures that during execution (to avoid looking on nvidia-smi during all training)?

So, suppose, that a task T uses 27% of GPU, means, that we can spawn 3 agents on this GPU (suppose that we will give them only task T). Does it make sense?

there is no such option

Thanks! 🙂

ClearML Server Version: 1.7.0-232

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

AgitatedDove14 shouldn't it be
while not an_optimizer.wait(timeout=1.0):instead of
while an_optimizer.wait(timeout=1.0):in the first code block?

Commits, that are not pushed to the repo

So there is no way to use Agent without use of remote repo (just using local server not connected to Internet), am I right?

No, we have one server

AgitatedDove14 one more question regarding this issue
Is it possible to change parameter space dynamically.
(dummy) example:
Our optimization is a task when we sample from [1,2,3] twice. At the situation when 3 is chosen twice, eliminate 3 from one sampling range, so make the sampling x1 from [1,2,3] and x2 from [1,2]

btw. why do I need to give my git name/pass to run it if I serve an agent from local?

I'll try that...

No. I would like to use TaskScheduler for pipelines. For now it seems to me, that I need to firstly run whole pipeline to get it's id.

I would like to define the pipeline but not run it before it is run by the scheduler

https://github.com/allegroai/clearml/issues/864

Thanks! 🙂

SuccessfulKoala55 should I make an issue on Github?

Just like in example: https://github.com/allegroai/clearml/blob/master/examples/pipeline/pipeline_from_tasks.py

But stucks at the same moment when using docker

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

?

I host the code on my Github

Hmm, it is hard to specify the way

Do we even have an option to assign id to each agent? https://clear.ml/docs/latest/docs/clearml_agent/clearml_agent_daemon

AgitatedDove14 in fact in our case we want to use simple strategies, RandomSearch is enough, but the problem is that we need to change the ranges dynamically

SuccessfulKoala55 we did it through default Docker-compose file.

If there a way to give more resources for server to help it somehow?

docker mode

hmm, is there a way to name the workers in some other way?

yes, sure, I'm doing that

Ok, thanks!