code: def __init__(self, num_classes=1000):
      super(Classifier, self).__init__()
      self.classifier = nn.Linear(num_classes, num_classes)
  
imports: from lib.utils.builder_util import *
  from lib.utils.search_structure_supernet import *
  from lib.models.builders.build_supernet import *
  from lib.utils.op_by_layer_dict import flops_op_dict
  from timm.models.layers import SelectAdaptivePool2d
  from timm.models.layers.activations import hard_sigmoid
label_desc: Use image node_id 1 to create a new Classifier object from inherited base classes: nn with example: obj = Classifier(num_classes)