code: def test_model_set_parameters(self):
      model1 = SimpleModel(output_dim=2, name="model1")
      model2 = SimpleModel(output_dim=2, name="model2")
      input_var = tf.compat.v1.placeholder(tf.float32, shape=(None, 5))
      model1.build(input_var)
      model2.build(input_var)
      model1.parameters = model2.parameters
      for m1, m2 in zip(
          model1.parameters.values(), model2.parameters.values()
      ):
          assert np.array_equal(m1, m2)
  
imports: import pickle
  import numpy
  import pytest
  import tensorflow
  from garage.tf.models.mlp import mlp
  from garage.tf.models.model import Model
  from tests.fixtures import TfGraphTestCase
label_desc: Use image node_id 14 for calling the TestModel obj's underlying member method code with example usage: obj.test_model_set_parameters() without return types