code: def compile_wrapper(
      rl_module: "TorchRLModule", compile_config: TorchCompileConfig
  ):
      """A wrapper that compiles the forward methods of a TorchRLModule."""
  
      # TODO(Artur): Remove this once our requirements enforce torch >= 2.0.0
      # Check if torch framework supports torch.compile.
      if (
          torch is not None
          and version.parse(torch.__version__)
          < TORCH_COMPILE_REQUIRED_VERSION
      ):
          raise ValueError(
              "torch.compile is only supported from torch 2.0.0"
          )
  
      compiled_forward_train = torch.compile(
          rl_module._forward_train,
          backend=compile_config.torch_dynamo_backend,
          mode=compile_config.torch_dynamo_mode,
          **compile_config.kwargs,
      )
  
      rl_module._forward_train = compiled_forward_train
  
      compiled_forward_inference = torch.compile(
          rl_module._forward_inference,
          backend=compile_config.torch_dynamo_backend,
          mode=compile_config.torch_dynamo_mode,
          **compile_config.kwargs,
      )
  
      rl_module._forward_inference = compiled_forward_inference
  
      compiled_forward_exploration = torch.compile(
          rl_module._forward_exploration,
          backend=compile_config.torch_dynamo_backend,
          mode=compile_config.torch_dynamo_mode,
          **compile_config.kwargs,
      )
  
      rl_module._forward_exploration = compiled_forward_exploration
  
      return rl_module
  
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 for calling a global function with example usage: compile_wrapper(rl_module, compile_config) and returns: rl_module