code: def test_sync_weights_with_different_decay(self):
      decay_list = [0.0, 0.47, 0.9, 1.0]
      for decay in decay_list:
          updated_parameters = self._numpy_update(
              self.target_model, decay
          )
          (
              target_model_fc1_w,
              target_model_fc1_b,
              target_model_fc2_w,
              target_model_fc2_b,
              target_model_fc3_w,
              target_model_fc3_b,
          ) = (
              updated_parameters["actor.fc1.weight"],
              updated_parameters["actor.fc1.bias"],
              updated_parameters["actor.fc2.weight"],
              updated_parameters["actor.fc2.bias"],
              updated_parameters["actor.fc3.weight"],
              updated_parameters["actor.fc3.bias"],
          )
  
          self.model.sync_weights_to(self.target_model, decay)
          N = 10
          random_obs = np.random.randn(N, 4)
          for i in range(N):
              obs = np.expand_dims(random_obs[i], -1)
              real_target_outputs = self.target_model.predict(
                  torch.Tensor(obs).view(1, -1)
              )
              out_np = np.dot(target_model_fc1_w, obs) + np.expand_dims(
                  target_model_fc1_b, -1
              )
              out_np = np.dot(
                  target_model_fc2_w, out_np
              ) + np.expand_dims(target_model_fc2_b, -1)
              out_np = np.dot(
                  target_model_fc3_w, out_np
              ) + np.expand_dims(target_model_fc3_b, -1)
              diff = (
                  real_target_outputs.detach().numpy().sum()
                  - out_np.sum()
              )
              self.assertLess(diff, 1e-5)
  
imports: import numpy
  import unittest
  import os
  from copy import deepcopy
  from collections import OrderedDict
  import torch
  import torch.nn
  import torch.optim
  from parl.utils import get_gpu_count
  import parl
label_desc: Use image node_id 6 for calling the ModelBaseTest obj's underlying member method code with example usage: obj.test_sync_weights_with_different_decay() without return types