code: def forward(self, x: torch.Tensor) -> torch.Tensor:
      new_features = self.layers(x)
      return torch.cat([x, new_features], 1)
  
imports: from __future__ import annotations
  import re
  from collections import OrderedDict
  from collections.abc import Callable, Sequence
  import torch
  import torch.nn
  from torch.hub import load_state_dict_from_url
  from monai.networks.layers.factories import Conv, Dropout, Pool
  from monai.networks.layers.utils import get_act_layer, get_norm_layer
  from monai.utils.module import look_up_option
label_desc: Use image node_id 2 for calling the _DenseLayer obj's underlying member method code with example usage: obj.forward(x) and returns: torch