code: def test_sync_weights_in_one_model(self):
      N = 10
      random_obs = paddle.to_tensor(
          np.random.rand(N, 4).astype(np.float32)
      )
      for i in range(N):
          x = random_obs[i]
          model_output = self.model.predict(x)
          target_model_output = self.target_model.predict(x)
          self.assertNotEqual(model_output, target_model_output)
  
      self.model.sync_weights_to(self.target_model)
  
      random_obs = paddle.to_tensor(
          np.random.rand(N, 4).astype(np.float32)
      )
      for i in range(N):
          x = random_obs[i]
          model_output = self.model.predict(x).numpy()
          target_model_output = self.target_model.predict(x).numpy()
          self.assertEqual(model_output, target_model_output)
  
imports: import numpy
  import paddle
  import paddle.nn
  import parl
  import unittest
  from copy import deepcopy
  from parl.core.paddle.model import Model
label_desc: Use image node_id 4 for calling the ModelBaseTest obj's underlying member method code with example usage: obj.test_sync_weights_in_one_model() without return types