code: def predict(self, x: Dict):
      ret_value = self.forward(x)
      return self.head.generate_point_predictions(
          ret_value["pi"], ret_value["sigma"], ret_value["mu"]
      )
  
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 10 for calling the MDNModel obj's underlying member method code with example usage: obj.predict(x) and returns: self