code: def __init__(self):
      super().__init__()
      self._losses = {}
      self.register_buffer(
          "device_tensor", torch.zeros(0), persistent=False
      )
  
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 1 to create a new LudwigModule object from inherited base classes: Module with example: obj = LudwigModule()