code: def forward(self, x: torch.Tensor) -> torch.Tensor:
      out = self.init_layer(x)
      for layer in self.layers:
          out = layer(x, pre_out=out)
      return out
  
file_path: pytorch_tabular/src/pytorch_tabular/models/danet/danet.py
imports: import warnings
  import torch
  import torch.nn
  from omegaconf import DictConfig
  from pytorch_tabular.models.common.layers.embeddings import Embedding1dLayer
  from ..base_model import BaseModel
  from .arch_blocks import BasicBlock
label_desc: Use image node_id 4 for calling the DANetBackbone obj's underlying member method code with example usage: obj.forward(x) and returns: out