code: def __init__(self, input_size, hidden_size):
      super().__init__()
      self.input_size = input_size
      self.hidden_size = hidden_size
  
      self.left_linear = paddle.nn.Linear(input_size, hidden_size)
      self.right_linear = paddle.nn.Linear(input_size, hidden_size)
      self.left_norm = L.batch_norm_1d(hidden_size)
      self.right_norm = L.batch_norm_1d(hidden_size)
      self.norm = L.batch_norm_1d(input_size)
  
imports: import os
  import sys
  import math
  import numpy
  import paddle
  import paddle.nn
  import paddle.nn.functional
  import pgl.nn
  from pgl.utils.logger import log
  import models.conv
  import models.mol_encoder
  import models.layers
label_desc: Use image node_id 1 to create a new BiMapSOPool object from inherited base classes: paddle.nn with example: obj = BiMapSOPool(input_size, hidden_size)