code: def test_float16_mode_eligible_func(self):
      mixed_precision.enable(tf.float32)
      self.assertEqual(
          mixed_precision._get_mixed_precision_mode(), tf.float32
      )
  
      @mixed_precision.modes([tf.float32, tf.float16])
      def check_type(x, expected_dtype):
          self.assertEqual(x.dtype, expected_dtype)
          return x
  
      mixed_precision.enable(tf.float16)
  
      x = tf.Variable([[1.0, 3], [5.0, 7.0]])
      self.assertEqual(x.dtype, tf.float32)
      self.assertEqual(check_type(x, tf.float32).dtype, tf.float32)
      self.assertEqual(check_type(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 1 for calling the MixedPrecisionTest obj's underlying member method code with example usage: obj.test_float16_mode_eligible_func() and returns: x