code: def enqueue(self, inp, mid_level_api, use_device, training):
      if use_device:
          for emb, device in zip(inp, self.embedding_devices):
              mid_level_api.enqueue(
                  emb, device=device, training=training
              )
      else:
          mid_level_api.enqueue(inp[0], training=training)
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.compat import v2_compat
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.distribute import distribute_lib
  from tensorflow.python.distribute import tpu_strategy
  from tensorflow.python.eager import backprop
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops import gen_math_ops
  from tensorflow.python.ops import init_ops_v2
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
  from tensorflow.python.tpu import device_assignment
  from tensorflow.python.tpu import tpu_embedding_v2
  from tensorflow.python.tpu import tpu_embedding_v2_utils
  from tensorflow.python.tpu.tests import tpu_embedding_base_test
label_desc: Use image node_id 3 for calling the TPUEmbeddingTPUStrategyV2Test obj's underlying member method code with example usage: obj.enqueue(inp, mid_level_api, use_device, training) without return types