I'm using Hydra 1.0.6

I created this toy example so you don't need any external conf files. Btw if I first launch the task as python example.py port=80 than the task will print the message "Is this a webserver" correctly. If then in the UI I clone the same task, overrides the port with ['port=43'] , for example, and run the experiment, I will still get the message "Is this a webserver" so the port didn't change

I also removed 'sudo' from all the commands as is suggested in https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/user-data.html but that wasn't the cause of the problem

Also, if I want to modify another parameter, e.g. ui.height I have this problem:

If it can help understand, this is what I'm doing

Hi AgitatedDove14 , sorry for the late reply. Btw, I tried with the latest RC and the issue is still there. So if I clone an experiment, modify an overrides params eg ['training.max_epochs=10'] my experiment run the old configuration. Therefore it seems that it doesn't change the OmegaConf configuration.

Hi AgitatedDove14
I implemented the pipeline manually as you suggested. I also used task.wait_for_status() after each task.enqueue() so I was able to implement a full pipeline in one script. It seems to be working correctly. Thank you!

Actually I had the same issue even with that value set to False

Thank you!!

Hi AgitatedDove14 , you can try with this toy example. If i run the task with python example.py ui.width=2048 the task will run correctly and print Title=My app, size=2048x768 pixels . However, in the UI I'm not allowed to change the ui.width in the Hydra parameters section: the 'Save' button is frozen

Hi TimelyPenguin76 , I tried your approach and it works, thank you! However it's a bit different to what I was trying to do: instead of cloning an existing task I'd like to specify the repository and a specific commit tag to use as it is done in Task.create. If this is possible with the API client it would be perfect

` from clearml import Task

from dataclasses import dataclass

import hydra
from hydra.core.config_store import ConfigStore
from omegaconf import OmegaConf

@dataclass
class MySQLConfig:
host: str = "localhost"
port: int = 3306

@dataclass
class UserInterface:
title: str = "My app"
width: int = 1024
height: int = 768

@dataclass
class MyConfig:
db: MySQLConfig = MySQLConfig()
ui: UserInterface = UserInterface()

cs = ConfigStore.instance()
cs.store(name="config", n...

Yes I think it's only related to the UI. Do you think It can be fixed somehow? It would be the easiest way to launch new experiments with a different configuration

Hi TimelyPenguin76 , I used api_client.tasks.create and It works, thank you!

I'm using ClearML 0.17.5

Nice, I'll try also with the extra_bash_script, thank you!

It's working correctly, thank you!

Yes it was set to nvidia/cuda:10.1-runtime-ubuntu18.04... ok I'll try again and see if that was the problem, thank you

FriendlySquid61 Your solution seems to have solved the problem. But only after I removed the export CLEARML_API_HOST={api_server}
export CLEARML_WEB_HOST={web_server}
export CLEARML_FILES_HOST={files_server}
command from the bash script executed when the instance is launched

Hi AgitatedDove14 , what I meant is that if it is possible to associate ec2 instances of the autoscaler to a IAM role in order to grant permissions to applications running on that instances, which could be for example the access to a s3 buckets that can be accessed only with a certain IAM role permissions. I'm not completely sure that what I'm saying makes sense, but I refer to something similar as it's specified here https://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles_use_switch-role...

Hi Sapir, no that didn't solve the problem unfortunately. I ssh into the machine (after removing shutdown so that it doesn't terminate) and from the log I saw the error : "clearml_agent: ERROR: Connection Error: it seems *api_server* is misconfigured. Is this the ClearML API server http://apiserver:8008 ? So it is a credential problem

Back to the feature request, if this is taken care of (both adding a missed package, and the S3 upload), do you still believe there is a room for this kind of feature?

Well, I can set import(s3fs) even if I don't really use it in my own code. One problem could be if this happen for a lot of packages, therefore I'd need to add this import to all my entry points of all my repos. While if I just download the right packages from the requirements.txt than I don't need to think about...

Nice, I didn't know that 🙂

` # ClearML - Hydra Example

from clearml import Task

from dataclasses import dataclass

import hydra
from hydra.core.config_store import ConfigStore
from omegaconf import OmegaConf

@dataclass
class MySQLConfig:
host: str = "localhost"
port: int = 3306

cs = ConfigStore.instance()

Registering the Config class with the name 'config'.

cs.store(name="config", node=MySQLConfig)

@hydra.main(config_name="config")
def my_app(cfg: MySQLConfig) -> None:
# type (DictConfig) -> None
...

Yes exactly

Does it work if I launch the clearml-agent on a docker and pip doesn't know the packages to install?

Make sure you have the S3 credentials in your agent's clearml.conf

Ok this could be a problem, as right now I'm using ec2-instances with a instance-profile (I use it in the autoscaler) so they have by the default the right s3 permissions. But I'll try it anyway

As an example, in Task.create() there is the possibility to install packages using a requirements.txt, and if not specified, it uses the requirements.txt of the repository. I'd like something like for Task.init() if possible

Hi AgitatedDove14 , I'm interested in this feature to run the agent and force it to install packages from requirements.txt. Is it available?

My problem right now is that Pytorch Lightning need the s3fs package to store model checkpoint into s3 buckets, but in my "installed packages" is not imported and I get an import error