code: def forward(self, img):
      out = self.mod1(img)
      out = self.mod2(self.pool2(out))
      out = self.mod3(self.pool3(out))
      out = self.mod4(out)
      out = self.mod5(out)
      out = self.mod6(out)
      out = self.mod7(out)
      out = self.bn_out(out)
  
      if hasattr(self, "classifier"):
          return self.classifier(out)
      else:
          return out
  
imports: import sys
  from collections import OrderedDict
  from functools import partial
  import torch.nn
  import torch
  from .mynn import Norm2d
label_desc: Use image node_id 2 for calling the WiderResNetA2 obj's underlying member method code with example usage: obj.forward(img) and returns: self, out