code: def _dynamo_is_available():
      # This only works if torch._dynamo is available
      try:
          # TODO(Artur): Remove this once torch._dynamo is available on CI
          import torch._dynamo as dynamo  # noqa: F401
  
          return True
      except ImportError:
          return False
  
imports: import logging
  import os
  import warnings
  from typing import Dict, List, Optional, TYPE_CHECKING, Union
  import gymnasium
  import numpy
  import tree
  from gymnasium.spaces import Discrete, MultiDiscrete
  from packaging import version
  import ray
  from ray.rllib.models.repeated_values import RepeatedValues
  from ray.rllib.utils.annotations import Deprecated, PublicAPI, DeveloperAPI
  from ray.rllib.utils.framework import try_import_torch
  from ray.rllib.utils.numpy import SMALL_NUMBER
  from ray.rllib.utils.typing import LocalOptimizer, SpaceStruct, TensorStructType, TensorType
label_desc: Use image node_id 21 for calling a global function with example usage: _dynamo_is_available() and returns: True, False