code: def test_grad_clip_with_accumulation_off(self, optimizer):
      with self.assertRaisesRegex(ValueError, "accumulation"):
          optimizer(use_gradient_accumulation=False, clipvalue=0.0)
      with self.assertRaisesRegex(ValueError, "accumulation"):
          optimizer(
              use_gradient_accumulation=False, clipvalue=(None, 1.0)
          )
  
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 1 for calling the TPUEmbeddingOptimizerTest obj's underlying member method code with example usage: obj.test_grad_clip_with_accumulation_off(optimizer) without return types