Hello. Please tell me how to make sure that when you start the pipeline, nothing superfluous is installed in the service queue?

@PipelineDecorator.pipeline(
    project=CLEARML_CONFIG.pipeline.project_name,
    name=CLEARML_CONFIG.pipeline.pipeline_name,
)
def executing_pipeline(dataset_id: str):
    print(f"{dataset_id = }")
    weights_path = train_step(dataset_id)
    print(f"{weights_path = }")
    evaluate_step(weights_path)


@PipelineDecorator.component(
    execution_queue=CLEARML_CONFIG.queue,
    docker=CLEARML_CONFIG.docker_image,
    docker_args=CLEARML_CONFIG.docker_arguments,
    return_values=["weights_path"],
    cache=False,
    task_type=TaskTypes.training,
    repo="",
    repo_branch=BRANCH,
)
def train_step(dataset_id: str):
    ...
    return weights_path


@PipelineDecorator.component(
    execution_queue=CLEARML_CONFIG.queue,
    cache=False,
    task_type=TaskTypes.testing,
    docker=CLEARML_CONFIG.docker_image,
    docker_args=CLEARML_CONFIG.docker_arguments,
    parents=["train_step"],
    repo="",
    repo_branch=BRANCH,
)
def evaluate_step(weights_path):
    ...


if __name__ == "__main__":
    PipelineDecorator.set_default_execution_queue("services")
    executing_pipeline(dataset_id="...")