code: def __init__(self, config: DictConfig, **kwargs):
      super().__init__(config, **kwargs)
  
file_path: pytorch_tabular/src/pytorch_tabular/models/danet/danet.py
imports: import warnings
  import torch
  import torch.nn
  from omegaconf import DictConfig
  from pytorch_tabular.models.common.layers.embeddings import Embedding1dLayer
  from ..base_model import BaseModel
  from .arch_blocks import BasicBlock
label_desc: Use image node_id 1 to create a new DANetModel object from inherited base classes: BaseModel with example: obj = DANetModel(config)