Another example on what I would expect:
` ### start_carla.py
def get_task():
task = Task.init(project_name="examples", task_name="start-carla", task_type="application")
# experiment is not run here. The experiment is only run when this is executed as standalone or on a clearml-agent.
return task

def run_experiment(task):
...

This task can also be run as standalone or run by a clearml-agent

if name == "main":
task = get_task()
run_experiment(task)

run_pipeline.py

from start_carla import get_task as get_start_carla_task

if name == "main":
pipe = PipelineController(
name="carla-autostart",
project="rlad/carla-servers",
version="0.0.1",
add_pipeline_tags=False,
)
pipe.add_step(name="start-carla-1", base_task_factory=get_start_carla_task)
pipe.add_step(name="start-carla-2", base_task_factory=get_start_carla_task)
pipe.start() `