code: def _forward_inference(self, batch, **kwargs):
      return mask_forward_fn_torch(
          super()._forward_inference, batch, **kwargs
      )
  
imports: import gymnasium
  from ray.rllib.algorithms.ppo.tf.ppo_tf_rl_module import PPOTfRLModule
  from ray.rllib.algorithms.ppo.torch.ppo_torch_rl_module import PPOTorchRLModule
  from ray.rllib.core.rl_module.rl_module import RLModule, RLModuleConfig
  from ray.rllib.policy.sample_batch import SampleBatch
  from ray.rllib.utils.framework import try_import_torch, try_import_tf
  from ray.rllib.utils.torch_utils import FLOAT_MIN
label_desc: Use image node_id 1 for calling the TorchActionMaskRLM obj's underlying member method code with example usage: obj._forward_inference(batch) and returns: mask_forward_fn_torch