WARNING deprecation.py:50 -- DeprecationWarning: `RLModule(config=[RLModuleConfig object])` has been deprecated. Use `RLModule(observation_space=.., action_space=.., inference_only=.., model_config=.., catalog_class=..)` instead

RLlib
3

TL;DR you can savely ignore this warning. See also here: ValueError: `RLModule(config=[RLModuleConfig])` has been deprecated- New API Stack - #17 by Daraan

You already found the correct line that creates the actually deprecated module.config attribute, as this is hard-coded you can do nothing to avoid this line from being executed.

As it is only logged once I execute this before my code

# suppress a deprecation warning from ray, by creating a RLModuleConfig once
try:
    from ray.rllib.core.rl_module.rl_module import RLModuleConfig
except ImportError:  # might not exist anymore in the future
    pass
else:
    from ray.rllib.utils.deprecation import logger as __deprecation_logger
    import logging

    # This suppresses a deprecation warning from RLModuleConfig
    __old_level = __deprecation_logger.getEffectiveLevel()
    __deprecation_logger.setLevel(logging.ERROR)
    RLModuleConfig()
    __deprecation_logger.setLevel(__old_level)
    del __deprecation_logger
    del logging
    del RLModuleConfig
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