code: def execute(cls, ctx, op):
      indexes = tuple(
          ctx[index.key] if hasattr(index, "key") else index
          for index in op.indexes
      )
      input_ = ctx[op.inputs[0].key]
      xp = get_array_module(input_)
      ret = xp.asarray(input_)[indexes]
      if hasattr(ret, "astype"):
          ret = ret.astype(
              ret.dtype, order=op.outputs[0].order.value, copy=False
          )
      ctx[op.outputs[0].key] = ret
  
imports: from numbers import Integral
  import numpy
  from ...None import opcodes
  from ...core import ENTITY_TYPE
  from ...core.operand import OperandStage
  from ...serialization.serializables import FieldTypes, KeyField, ListField, TupleField, Int32Field
  from ..core import TENSOR_TYPE, TensorOrder
  from ..utils import split_indexes_into_chunks, calc_pos, filter_inputs
  from ..operands import TensorHasInput, TensorOperandMixin, TensorMapReduceOperand
  from ..array_utils import get_array_module
  from .core import process_index, calc_shape
  from .index_lib import TensorIndexesHandler
label_desc: Use image node_id 9 for calling the TensorIndex obj's underlying member method code with example usage: obj.execute(cls, ctx, op) without return types