class_docstr: Base class for RLlib TensorFlow RLModules.
class_docstr_tok: ["Base","class","for","RLlib","TensorFlow","RLModules","."]
code: def _module_state_file_name(self) -> pathlib.Path:
      # TF checkpointing in the native tf format saves the weights as multiple
      # files, and when calling save_weights, the name passed should have no
      # file ending (e.g. .h5).
      return pathlib.Path("module_state")
  
file_path: ray/rllib/core/rl_module/tf/tf_rl_module.py
imports: import pathlib
  from typing import Any, Mapping, Union
  from ray.rllib.core.rl_module import RLModule
  from ray.rllib.utils.annotations import override
  from ray.rllib.utils.framework import try_import_tf
label_desc: Use image node_id 5 for calling the TfRLModule obj's underlying member method code with example usage: obj._module_state_file_name() and returns: pathlib