code: def test_cpu_multiple_creation(self):
      feature_config = (
          tpu_embedding_v2_utils.FeatureConfig(
              table=self.table_user,
              name="friends",
              max_sequence_length=2,
          ),
      )
      optimizer = tpu_embedding_v2_utils.SGD(learning_rate=0.1)
      embedding_one = tpu_embedding_for_serving.TPUEmbeddingForServing(
          feature_config=feature_config, optimizer=optimizer
      )
      embedding_two = tpu_embedding_for_serving.TPUEmbeddingForServing(
          feature_config=feature_config, optimizer=optimizer
      )
  
      # Both of the tpu embedding tables should be able to build on cpu.
      embedding_one.build()
      embedding_two.build()
  
imports: import numpy
  from tensorflow.python.compat import v2_compat
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.ops import init_ops_v2
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import test
  from tensorflow.python.tpu import tpu_embedding_for_serving
  from tensorflow.python.tpu import tpu_embedding_v2_utils
  from tensorflow.python.util import nest
label_desc: Use image node_id 21 for calling the TPUEmbeddingForServingTest obj's underlying member method code with example usage: obj.test_cpu_multiple_creation() without return types