code: def compute_backbone(self, x: Union[Dict, torch.Tensor]):
      # Returns output
      if isinstance(self.backbone, TabTransformerBackbone):
          x = self.backbone(x["categorical"], x["continuous"])
      else:
          x = self.backbone(x)
      return x
  
imports: from typing import Dict, Optional, Union
  import torch
  import torch.nn
  from omegaconf import DictConfig, OmegaConf
  from torch import Tensor
  from pytorch_tabular import models
  from pytorch_tabular.config.config import ModelConfig
  from pytorch_tabular.models.common.heads import blocks
  from pytorch_tabular.models.tab_transformer.tab_transformer import TabTransformerBackbone
  from pytorch_tabular.tabular_model import getattr_nested
  from pytorch_tabular.utils import get_logger
  from ..base_model import BaseModel, safe_merge_config
label_desc: Use image node_id 8 for calling the MDNModel obj's underlying member method code with example usage: obj.compute_backbone(x) and returns: x