code: def test_grad_clip_with_tuple(self, optimizer):
      opt = optimizer(clipvalue=(-1.0, 1.0))
      self.assertEqual(-1.0, opt.clip_gradient_min)
      self.assertEqual(1.0, opt.clip_gradient_max)
  
imports: from absl.testing import parameterized
  from tensorflow.core.protobuf.tpu import tpu_embedding_configuration_pb2
  from tensorflow.python.compat import v2_compat
  from tensorflow.python.platform import test
  from tensorflow.python.tpu import tpu_embedding_v2_utils
label_desc: Use image node_id 2 for calling the TPUEmbeddingOptimizerTest obj's underlying member method code with example usage: obj.test_grad_clip_with_tuple(optimizer) without return types