docstr: The forward pass of the model.
  
  Args:
      x (Dict): The input of the model with 'continuous' and 'categorical' keys
code: def forward(self, x: Dict) -> Dict[str, Any]:
      """The forward pass of the model.
  
      Args:
          x (Dict): The input of the model with 'continuous' and 'categorical' keys
      """
      x = self.embed_input(x)
      x = self.compute_backbone(x)
      return self.compute_head(x)
  
imports: import importlib
  import warnings
  from abc import ABCMeta, abstractmethod
  from functools import partial
  from typing import Any, Callable, Dict, List, Optional, Tuple, Type, Union
  import numpy
  import pytorch_lightning
  import torch
  import torch.nn
  import torchmetrics
  from omegaconf import DictConfig, OmegaConf
  from pandas import DataFrame
  from torch import Tensor
  from torch.optim import Optimizer
  from pytorch_tabular.models.common.heads import blocks
  from pytorch_tabular.models.common.layers import PreEncoded1dLayer
  from pytorch_tabular.utils import get_logger, reset_all_weights
label_desc: Use image node_id 18 for calling the BaseModel obj's underlying member method code with example usage: obj.forward(x) and returns: self