code: def load_param(dirname, var_name_list):
      """load_param"""
      for var_name in var_name_list:
          var = fluid.global_scope().find_var(var_name)
          var_tensor = var.get_tensor()
          var_tmp = np.load(os.path.join(dirname, var_name + ".npy"))
          var_tensor.set(var_tmp, fluid.CPUPlace())
  
imports: import argparse
  import sys
  import os
  import tqdm
  import time
  import math
  import logging
  import random
  import pickle
  import numpy
  import sklearn.metrics
  from sklearn.metrics import f1_score
  import pgl
  import paddle.fluid
  import paddle.fluid.layers
  import Dataset
  from utils import *
label_desc: Use image node_id 1 for calling a global function with example usage: load_param(dirname, var_name_list) without return types