code: def _set_inputs(self, inputs):
      super()._set_inputs(inputs)
      if self.stage == OperandStage.reduce:
          self.input = self._inputs[0]
          return
      elif self.stage == OperandStage.map:
          inputs_iter = iter(self._inputs)
      else:
          self.input = self._inputs[0]
          inputs_iter = iter(self._inputs[1:])
      new_indexes = [
          next(inputs_iter) if isinstance(index, ENTITY_TYPE) else index
          for index in self.indexes
      ]
      self.indexes = tuple(new_indexes)
      if isinstance(self.value, ENTITY_TYPE):
          self.value = next(inputs_iter)
  
imports: import functools
  import itertools
  import operator
  from numbers import Integral
  from typing import Union
  import numpy
  from ...None import opcodes
  from ...core import ENTITY_TYPE, recursive_tile
  from ...core.context import Context
  from ...core.operand import OperandStage
  from ...serialization.serializables import KeyField, TupleField, AnyField, BoolField
  from ...tensor import tensor
  from ...utils import has_unknown_shape
  from ..base import broadcast_to
  from ..core import TENSOR_TYPE, TensorOrder
  from ..operands import TensorMapReduceOperand, TensorOperandMixin, TensorShuffleProxy
  from ..utils import broadcast_shape, filter_inputs
  from .core import process_index
label_desc: Use image node_id 2 for calling the TensorIndexSetValue obj's underlying member method code with example usage: obj._set_inputs(inputs) without return types