Hello 🙂
here is the full trace:
None

Yeah sure 🙂
Will share it, let me get it ^^

It seems the task initialization process is successful, can you share a snippet of the code, how click is used and what are you doing in the main part of the code (including Task.init() etc.)?

Here are the code.
When using ClearML Agent it does not work but if we copy paste the command line specified in the log as Entry point it works

"entry_point = -m emotions_classification.__main__  lightning train -c  configs/logging.yml -c  configs/lightning_module/multiclass-transformer.yml -c  configs/data_module/fr-emotions-data-module.yml -c  configs/trainer/debug.yml -c  configs/common/camembert-base.yml trainer.logger.name=debug
working_dir = .

Hey @<1564422650187485184:profile|ScaryDeer25> , we just released clearml==1.11.1rc2 which should solve the compatibility issues for lightning >= 2.0. Can you install it and check whether it solves your problem?

Hi @<1564422650187485184:profile|ScaryDeer25> , is thie from a task run by an agent?

Hi 🙂
Thanks for your reply, I will find it out

Yeah, this is the ouput of the run from the agent

The issue may be related to the fact that right now we have some edge cases when working with lightning >= 2.0, we should have better support in the upcoming release

Can you please share the entire task log? Also, how are you running the agent?

Any news guys about this issue ? 🙂

Hello 🙂
This is the snipper using Click

@define()
class ClearMLConfig:
    task_name: str = "First experiment"
    task_type: Task.TaskTypes = Task.TaskTypes.training
    reuse_last_task_id: bool = True
    output_uri: Optional[str] = None


clearml_config = ClearMLConfig()
task = Task.init(project_name='Illuin Emotions',
                 task_name=clearml_config.task_name,
                 reuse_last_task_id=clearml_config.reuse_last_task_id,
                 task_type=clearml_config.task_type,
                 output_uri=clearml_config.output_uri)


@click.group()
def cli() -> None:
    if os.path.isfile(".env"):
        logger.info("Loading .env file")
        load_dotenv(".env")


cli.add_command(lightning_cli, name="lightning")
cli.add_command(huggingface_cli, name="huggingface")

And to log it we use:
Task.current_task().connect(attrs.asdict(config))