class_docstr: Represents data from mars tensor
code: def _set_inputs(self, inputs: List[EntityType]):
      super()._set_inputs(inputs)
      inputs_iter = iter(self._inputs)
      if self.input is not None:
          if not isinstance(self.input, dict):
              self.input = next(inputs_iter)
          else:
              # check each value for input
              new_input = OrderedDict()
              for k, v in self.input.items():
                  if isinstance(v, ENTITY_TYPE):
                      new_input[k] = next(inputs_iter)
                  else:
                      new_input[k] = v
              self.input = new_input
  
      if isinstance(self.index, ENTITY_TYPE):
          self.index = next(inputs_iter)
  
imports: from collections import OrderedDict
  from typing import Any, Dict, List, Union
  import numpy
  import pandas
  from ...None import opcodes
  from ...core import ENTITY_TYPE, OutputType, recursive_tile
  from ...core.context import Context
  from ...serialization.serializables import KeyField, AnyField
  from ...tensor.core import Tensor
  from ...tensor.datasource import tensor
  from ...tensor.utils import unify_chunks
  from ...typing import EntityType, TileableType
  from ...utils import has_unknown_shape
  from ..core import INDEX_TYPE, SERIES_TYPE
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import parse_index
label_desc: Use image node_id 2 for calling the DataFrameFromTensor obj's underlying member method code with example usage: obj._set_inputs(inputs) without return types