class_docstr: MultiCategorical distribution for MultiDiscrete action spaces.
class_docstr_tok: ["MultiCategorical","distribution","for","MultiDiscrete","action","spaces","."]
code: def to_deterministic(self) -> "TorchMultiDistribution":
      return TorchMultiDistribution(
          [cat.to_deterministic() for cat in self._cats]
      )
  
imports: import gymnasium
  import numpy
  from typing import Optional, List, Mapping, Iterable, Dict
  import tree
  import abc
  from ray.rllib.models.distributions import Distribution
  from ray.rllib.utils.annotations import override, DeveloperAPI
  from ray.rllib.utils.framework import try_import_torch
  from ray.rllib.utils.typing import TensorType, Union, Tuple
label_desc: Use image node_id 9 for calling the TorchMultiCategorical obj's underlying member method code with example usage: obj.to_deterministic() and returns: TorchMultiDistribution