parameters: (
        self,
        enqueue_datas_list,
        mode_override=None,
        ragged=False,
    )
return_statement: return [
          self._generate_enqueue_op(  # pylint: disable=g-complex-comprehension
              enqueue_datas,
              device_ordinal=i % self._num_cores_per_host,
              mode_override=mode_override,
              ragged=ragged,
          ) for i, enqueue_datas in enumerate(enqueue_datas_list)
      ]
docstring: Generate enqueue ops.
  
      Args:
        enqueue_datas_list: a list of dictionary mapping from string of feature
          names to EnqueueData. Each dictionary is for one TPU core. Dictionaries
          for the same host should be contiguous in the list.
        mode_override: A string input that overrides the mode specified in the
          TPUEmbeddingConfiguration. Supported values are {'unspecified',
          'inference', 'training', 'backward_pass_only'}. When set to
          'unspecified', the mode set in TPUEmbeddingConfiguration is used,
          otherwise mode_override is used (optional).
        ragged: If True, creates RaggedTensor enqueue ops rather than
          SparseTensor.
  
      Returns:
        Ops to enqueue to TPU for embedding.
docstring_summary: Generate enqueue ops.
docstring_tokens: Generate enqueue ops .
function: def generate_enqueue_ops(
        self,
        enqueue_datas_list,
        mode_override=None,
        ragged=False,
    ):
      """Generate enqueue ops.
  
      Args:
        enqueue_datas_list: a list of dictionary mapping from string of feature
          names to EnqueueData. Each dictionary is for one TPU core. Dictionaries
          for the same host should be contiguous in the list.
        mode_override: A string input that overrides the mode specified in the
          TPUEmbeddingConfiguration. Supported values are {'unspecified',
          'inference', 'training', 'backward_pass_only'}. When set to
          'unspecified', the mode set in TPUEmbeddingConfiguration is used,
          otherwise mode_override is used (optional).
        ragged: If True, creates RaggedTensor enqueue ops rather than
          SparseTensor.
  
      Returns:
        Ops to enqueue to TPU for embedding.
      """
      self._validate_generate_enqueue_ops_enqueue_datas_list(enqueue_datas_list)
      return [
          self._generate_enqueue_op(  # pylint: disable=g-complex-comprehension
              enqueue_datas,
              device_ordinal=i % self._num_cores_per_host,
              mode_override=mode_override,
              ragged=ragged,
          ) for i, enqueue_datas in enumerate(enqueue_datas_list)
      ]
function_tokens: def generate_enqueue_ops ( self , enqueue_datas_list , mode_override = None , ragged = False , ) : self . _validate_generate_enqueue_ops_enqueue_datas_list ( enqueue_datas_list ) return [ self . _generate_enqueue_op ( # pylint: disable=g-complex-comprehension enqueue_datas , device_ordinal = i % self . _num_cores_per_host , mode_override = mode_override , ragged = ragged , ) for i , enqueue_datas in enumerate ( enqueue_datas_list ) ]