code: def __init__(
      self,
      num_class,
      num_layers,
      hidden_size_a=24,
      hidden_size_v=32,
      hidden_size_m=64,
      hidden_size_o=128,
      heads=8,
      act="relu",
      name="GaAN",
  ):
      self.num_class = num_class
      self.num_layers = num_layers
      self.hidden_size_a = hidden_size_a
      self.hidden_size_v = hidden_size_v
      self.hidden_size_m = hidden_size_m
      self.hidden_size_o = hidden_size_o
      self.act = act
      self.name = name
      self.heads = heads
  
imports: import os
  import re
  import time
  from random import random
  from functools import reduce, partial
  import numpy
  import multiprocessing
  import paddle
  import paddle.fluid
  import paddle.fluid
  import paddle.fluid.layers
  from pgl.graph_wrapper import GraphWrapper
  from pgl.layers.conv import gcn, gat
  from pgl.utils import paddle_helper
label_desc: Use image node_id 1 to create a new GaANModel object from inherited base classes: object with example: obj = GaANModel(num_class, num_layers, hidden_size_a, hidden_size_v, hidden_size_m, hidden_size_o, heads, act, name)