code: def test_sync_weights_among_programs(self):
      pred_program = fluid.Program()
      pred_program_2 = fluid.Program()
      with fluid.program_guard(pred_program):
          obs = layers.data(name="obs", shape=[4], dtype="float32")
          model_output = self.model.predict(obs)
  
      # program 2
      with fluid.program_guard(pred_program_2):
          obs = layers.data(name="obs", shape=[4], dtype="float32")
          target_model_output = self.target_model.predict(obs)
  
      self.executor.run(fluid.default_startup_program())
  
      N = 10
      random_obs = np.random.random(size=(N, 4)).astype("float32")
      for i in range(N):
          x = np.expand_dims(random_obs[i], axis=0)
          outputs = self.executor.run(
              pred_program, feed={"obs": x}, fetch_list=[model_output]
          )
  
          outputs_2 = self.executor.run(
              pred_program_2,
              feed={"obs": x},
              fetch_list=[target_model_output],
          )
          self.assertNotEqual(
              outputs[0].flatten(), outputs_2[0].flatten()
          )
  
      self.model.sync_weights_to(self.target_model)
  
      random_obs = np.random.random(size=(N, 4)).astype("float32")
      for i in range(N):
          x = np.expand_dims(random_obs[i], axis=0)
          outputs = self.executor.run(
              pred_program, feed={"obs": x}, fetch_list=[model_output]
          )
  
          outputs_2 = self.executor.run(
              pred_program_2,
              feed={"obs": x},
              fetch_list=[target_model_output],
          )
          self.assertEqual(outputs[0].flatten(), outputs_2[0].flatten())
  
imports: import numpy
  import paddle.fluid
  import parl
  import unittest
  from copy import deepcopy
  from paddle.fluid import ParamAttr
  from parl import layers
  from parl.utils import get_gpu_count
  from parl.core.fluid.plutils import fetch_value
label_desc: Use image node_id 7 for calling the ModelBaseTest obj's underlying member method code with example usage: obj.test_sync_weights_among_programs() without return types