code: def __init__(self, backbone, num_class, dtype=paddle.float32):
      super(Classifier, self).__init__()
      self.backbone = backbone
      self.params = nn.ParameterList(
          [
              paddle.create_parameter(
                  shape=[num_class, self.backbone.emb_size], dtype=dtype
              )
          ]
      )
  
imports: import math
  import os
  import paddle
  import paddle.nn
  import paddle.nn.functional
label_desc: Use image node_id 1 to create a new Classifier object from inherited base classes: nn with example: obj = Classifier(backbone, num_class, dtype)