code: def forward(self, x):
      x = self.forward_features(x)
      x = x.flatten(1)
      if self.drop_rate > 0.0:
          x = F.dropout(x, p=self.drop_rate, training=self.training)
      x = self.classifier(x)
      return x
  
file_path: nni/examples/nas/legacy/cream/lib/models/structures/childnet.py
imports: from lib.utils.builder_util import *
  from lib.models.builders.build_childnet import *
  from timm.models.layers import SelectAdaptivePool2d
  from timm.models.layers.activations import hard_sigmoid
label_desc: Use image node_id 5 for calling the ChildNet obj's underlying member method code with example usage: obj.forward(x) and returns: x