code: def shufflenet_v2_x2_0(num_classes=1000, input_shape=(224, 224, 3)):
      model = shufflenet_v2(
          num_classes=num_classes,
          input_shape=input_shape,
          stages_repeats=[4, 8, 4],
          stages_out_channels=[24, 244, 488, 976, 2048],
      )
      return model
  
imports: import tensorflow
  from tensorflow.keras import layers, Model
label_desc: Use image node_id 6 for calling a global function with example usage: shufflenet_v2_x2_0(num_classes, input_shape) and returns: model