code: def __init__(
      self,
      config_obj: ECDModelConfig,
      random_seed=None,
      **_kwargs,
  ):
      self.config_obj = config_obj
      self._random_seed = random_seed
  
      super().__init__(random_seed=self._random_seed)
  
      # ================ Inputs ================
      try:
          self.input_features.update(
              self.build_inputs(
                  input_feature_configs=self.config_obj.input_features
              )
          )
      except KeyError as e:
          raise KeyError(
              f"An input feature has a name that conflicts with a class attribute of torch's ModuleDict: {e}"
          ) from e
  
      # ================ Combiner ================
      logger.debug(f"Combiner {self.config_obj.combiner.type}")
      self.combiner = create_combiner(
          self.config_obj.combiner, input_features=self.input_features
      )
  
      # ================ Outputs ================
      self.output_features.update(
          self.build_outputs(
              output_feature_configs=self.config_obj.output_features,
              combiner=self.combiner,
          )
      )
  
      # After constructing all layers, clear the cache to free up memory
      clear_data_cache()
  
imports: import logging
  import os
  from typing import Dict, Tuple, Union
  import numpy
  import torch
  from ludwig.accounting.used_tokens import get_used_tokens_for_ecd
  from ludwig.combiners.combiners import create_combiner
  from ludwig.constants import MODEL_ECD, MODEL_LLM, USED_TOKENS
  from ludwig.globals import MODEL_WEIGHTS_FILE_NAME
  from ludwig.models.base import BaseModel
  from ludwig.schema.model_types.ecd import ECDModelConfig
  from ludwig.utils import output_feature_utils
  from ludwig.utils.augmentation_utils import AugmentationPipelines
  from ludwig.utils.data_utils import clear_data_cache
  from ludwig.utils.fs_utils import open_file
  from ludwig.utils.state_dict_backward_compatibility import update_state_dict
  from ludwig.utils.torch_utils import get_torch_device
label_desc: Use image node_id 2 to create a new ECD object from inherited base classes: BaseModel with example: obj = ECD(config_obj, random_seed)