Yes the example works. As the example, in my code I am basically starting with doing, was not that supposed to work?

` @hydra.main(config_path="config", config_name="config")
def main(cfg: DictConfig):

import os
import pytorch_lightning as pl
import torch
import yaml
import clearml

pl.seed_everything(cfg.seed)

task = clearml.Task.init(
    project_name=cfg.project_name,
    task_name=cfg.task_name,
) `

Yes the clearml import Must be outside if everything (so it can link with hydra), when you do it this way, by the time you import clearml, hydra is already done

Hi SkinnyPanda43

I realized that the params are not being saved anymore

Could you test with clearml==1.0.4 ?

Can you verify this example is not working for you?
https://github.com/allegroai/clearml/blob/master/examples/frameworks/hydra/hydra_example.py

Hydra params are still not upload on 1.0.4

Thank you, I was importing everything inside the function so the the hydra autocomplete would run faster.