class_docstr: Represents data from mars tensor
code: def tile(cls, op: "DataFrameFromTensor"):
      if isinstance(op.input, dict):
          return (yield from cls._tile_input_1d_tileables(op))
      elif op.input is not None:
          return (yield from cls._tile_input_tensor(op))
      else:
          return cls._tile_tensor_none(op)
  
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 8 for calling the DataFrameFromTensor obj's underlying member method code with example usage: obj.tile(cls, op) and returns: unknown, unknown, cls