docstr: This is an iterator of all operators in the Topology object.
  Operators are returned in a topological order.
docstr_tok: ["This","is","an","iterator","of","all","operators","in","the","Topology","object",".","Operators","are","returned","in","a","topological","order","."]
code: def topological_operator_iterator(self):
      """
      This is an iterator of all operators in the Topology object.
      Operators are returned in a topological order.
      """
      return self.onnxconverter_topology.topological_operator_iterator()
  
imports: import numpy
  import os
  from packaging.version import Version, parse
  import torch
  from uuid import uuid4
  from onnxconverter_common.registration import get_converter
  from onnxconverter_common.topology import Topology
  import onnx
  from hummingbird.ml.containers import PyTorchSklearnContainerRegression, PyTorchSklearnContainerClassification, PyTorchSklearnContainerTransformer, PyTorchSklearnContainerAnomalyDetection, TorchScriptSklearnContainerRegression, TorchScriptSklearnContainerClassification, TorchScriptSklearnContainerTransformer, TorchScriptSklearnContainerAnomalyDetection, ONNXSklearnContainerRegression, ONNXSklearnContainerClassification, ONNXSklearnContainerTransformer, ONNXSklearnContainerAnomalyDetection, TVMSklearnContainerRegression, TVMSklearnContainerClassification, TVMSklearnContainerTransformer, TVMSklearnContainerAnomalyDetection, BatchContainer
  from hummingbird.ml._utils import pandas_installed, tvm_installed, get_device, from_strings_to_ints
  from hummingbird.ml._executor import Executor
  from hummingbird.ml.exceptions import MissingConverter
  from hummingbird.ml.operator_converters import constants
label_desc: Use image node_id 6 for calling the Topology obj's underlying member method code with example usage: obj.topological_operator_iterator() and returns: self