code: def __init__(self, config: DictConfig, **kwargs):
      super().__init__()
      self.hparams = config
      # self.hparams.output_dim = (0 if self.hparams.output_dim is None else self.hparams.output_dim)
      # For SSL cases where output_dim will be None
      self._build_network()
  
imports: import warnings
  import torch
  import torch.nn
  from omegaconf import DictConfig
  from pytorch_tabular.models.common.layers import Embedding1dLayer
  from pytorch_tabular.utils import get_logger
  from ..base_model import BaseModel
  from ..common import activations
  from ..common.layers import Lambda
  from .architecture_blocks import DenseODSTBlock
label_desc: Use image node_id 1 to create a new NODEBackbone object from inherited base classes: nn with example: obj = NODEBackbone(config)