code: def test_config(self):
      msle_obj = metrics.MeanSquaredLogarithmicError(
          name="my_msle", dtype="int32"
      )
      self.assertEqual(msle_obj.name, "my_msle")
      self.assertEqual(msle_obj._dtype, "int32")
  
      # Check save and restore config
      msle_obj2 = metrics.MeanSquaredLogarithmicError.from_config(
          msle_obj.get_config()
      )
      self.assertEqual(msle_obj2.name, "my_msle")
      self.assertEqual(msle_obj2._dtype, "int32")
  
imports: import numpy
  from absl.testing import parameterized
  from keras import testing
  from keras.metrics import regression_metrics
label_desc: Use image node_id 1 for calling the MeanSquaredLogarithmicErrorTest obj's underlying member method code with example usage: obj.test_config() without return types