code: def _create_mid_level(self):
      optimizer = tpu_embedding_v2_utils.SGD(learning_rate=0.1)
      return tpu_embedding_for_serving.TPUEmbeddingForServing(
          feature_config=self.feature_config, optimizer=optimizer
      )
  
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 2 for calling the TPUEmbeddingForServingTest obj's underlying member method code with example usage: obj._create_mid_level() and returns: tpu_embedding_for_serving