code: def place_on_device(x, device):
      """Recursively places the input on the specified device."""
      if isinstance(x, list):
          return [place_on_device(xi, device) for xi in x]
      elif isinstance(x, dict):
          return {k: place_on_device(v, device) for k, v in x.items()}
      elif isinstance(x, set):
          return {place_on_device(xi, device) for xi in x}
      elif isinstance(x, tuple):
          return tuple(place_on_device(xi, device) for xi in x)
      elif isinstance(x, torch.Tensor):
          return x.to(device)
      else:
          return x
  
imports: import math
  import os
  import warnings
  from abc import abstractmethod
  from functools import lru_cache
  from typing import List, Optional, Tuple, Union
  import torch
  from torch import nn
  from torch.nn import Module, ModuleDict
  from ludwig.api_annotations import DeveloperAPI
  from ludwig.constants import ENCODER_OUTPUT
  from ludwig.utils.strings_utils import SpecialSymbol
label_desc: Use image node_id 2 for calling a global function with example usage: place_on_device(x, device) and returns: unknown, unknown, unknown, tuple, x, x