code: def test_float16_mode_enabled_call_function(self):
      mixed_precision.enable(tf.float32)
  
      class DummyCall(base.Module, test_utils.TestCase):
          def __init__(self):
              super().__init__()
              test_utils.TestCase.__init__(self)
              self.y = tf.Variable([[1.0, 3], [5.0, 7.0]])
  
          @mixed_precision.modes([tf.float16, tf.float32])
          def __call__(self, x, dtype):
              # pylint: disable=g-generic-assert
              self.assertTrue(self.y.dtype == dtype)
              self.assertTrue(x.dtype == dtype)
              return x
  
          def runTest(self):
              pass
  
      x = tf.Variable([[1.0, 3], [5.0, 7.0]])
      self.assertEqual(x.dtype, tf.float32)
  
      d = DummyCall()
      mixed_precision.enable(tf.float16)
      self.assertEqual(d(x, tf.float32).dtype, tf.float32)
      self.assertEqual(d(x, tf.float16).dtype, tf.float32)
  
imports: from absl.testing import parameterized
  from sonnet.src import base
  from sonnet.src import mixed_precision
  from sonnet.src import test_utils
  import tensorflow
  import tree
label_desc: Use image node_id 6 for calling the MixedPrecisionTest obj's underlying member method code with example usage: obj.test_float16_mode_enabled_call_function() and returns: x