code: def call(self, prev_layers):
      out_x, mask_x = self.cell_x(prev_layers)
      out_y, mask_y = self.cell_y(prev_layers)
      return out_x + out_y, mask_x | mask_y
  
imports: import tensorflow
  from tensorflow.keras import Model, Sequential
  from tensorflow.keras.layers import AveragePooling2D, BatchNormalization, Conv2D, Dense, Dropout, GlobalAveragePooling2D, MaxPool2D, ReLU, SeparableConv2D
  from nni.nas.tensorflow.mutables import InputChoice, LayerChoice, MutableScope
label_desc: Use image node_id 2 for calling the Node obj's underlying member method code with example usage: obj.call(prev_layers) and returns: unknown,  unknown