code: def __init__(self, *args, **kwargs) -> None:
      nn.parallel.DistributedDataParallel.__init__(
          self, *args, **kwargs
      )
      # we do not want to call RLModule.__init__ here because all we need is
      # the interface of that base-class not the actual implementation.
      self.config = self.unwrapped().config
  
imports: import pathlib
  from typing import Any, List, Mapping, Tuple, Union, Type
  from packaging import version
  from ray.rllib.core.rl_module import RLModule
  from ray.rllib.core.rl_module.rl_module_with_target_networks_interface import RLModuleWithTargetNetworksInterface
  from ray.rllib.core.rl_module.torch.torch_compile_config import TorchCompileConfig
  from ray.rllib.models.torch.torch_distributions import TorchDistribution
  from ray.rllib.utils.annotations import override
  from ray.rllib.utils.framework import try_import_torch
  from ray.rllib.utils.torch_utils import convert_to_torch_tensor, TORCH_COMPILE_REQUIRED_VERSION
  from ray.rllib.utils.typing import NetworkType
label_desc: Use image node_id 1 to create a new TorchDDPRLModule object from inherited base classes: RLModule, nn.parallel with example: obj = TorchDDPRLModule()