code: def _execute(self):  # pragma: no cover
      execute_data = [
          t for t in self._tensors if isinstance(t, ACCEPT_TYPE[:3])
      ]
  
      if len(execute_data) > 0:
          execute(execute_data)
  
file_path: mars/mars/learn/contrib/tensorflow/dataset.py
imports: import copy
  from typing import List, Tuple
  import pandas
  import numpy
  from ....None import execute
  from ....core.context import get_context
  from ....tensor.core import TENSOR_TYPE
  from ....dataframe.core import DATAFRAME_TYPE, SERIES_TYPE
  from ....utils import require_not_none, lazy_import
label_desc: Use image node_id 3 for calling the MarsDataset obj's underlying member method code with example usage: obj._execute() without return types