code: def forward(self, x):
      x = self.forward_features(x)
      x = self.forward_head(x)
      return x
  
imports: from collections import OrderedDict
  from functools import partial
  from typing import Tuple
  import torch
  import torch.nn
  import torch.nn.functional
  from timm.data import IMAGENET_DPN_MEAN, IMAGENET_DPN_STD, IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
  from timm.layers import BatchNormAct2d, ConvNormAct, create_conv2d, create_classifier, get_norm_act_layer
  from ._builder import build_model_with_cfg
  from ._registry import register_model, generate_default_cfgs
label_desc: Use image node_id 8 for calling the DPN obj's underlying member method code with example usage: obj.forward(x) and returns: x