code: def compute_backbone(self, x: Dict):
      # Returns output
      x = self.backbone(x["categorical"], x["continuous"])
      return x
  
imports: from collections import OrderedDict
  from typing import Dict
  import torch
  import torch.nn
  from einops import rearrange
  from omegaconf import DictConfig
  from pytorch_tabular.models.common.layers.batch_norm import BatchNorm1d
  from ..base_model import BaseModel
  from ..common.layers import Embedding2dLayer, TransformerEncoderBlock
label_desc: Use image node_id 7 for calling the TabTransformerModel obj's underlying member method code with example usage: obj.compute_backbone(x) and returns: x