code: def _serve(
      self, blocking=False, debug=False, port=None, bind_all=False
  ):
      from captum.insights.attr_vis.server import start_server
  
      return start_server(
          self,
          blocking=blocking,
          debug=debug,
          _port=port,
          bind_all=bind_all,
      )
  
imports: from collections import namedtuple
  from itertools import cycle
  from typing import Any, Callable, Dict, Iterable, List, NamedTuple, Optional, Tuple, Union
  import torch
  from captum.attr import IntegratedGradients
  from captum.attr._utils.batching import _batched_generator
  from captum.insights.attr_vis.attribution_calculation import AttributionCalculation, OutputScore
  from captum.insights.attr_vis.config import ATTRIBUTION_METHOD_CONFIG, ATTRIBUTION_NAMES_TO_METHODS
  from captum.insights.attr_vis.features import BaseFeature
  from captum.insights.attr_vis.server import namedtuple_to_dict
  from captum.log import log_usage
  from torch import Tensor
  from torch.nn import Module
label_desc: Use image node_id 6 for calling the AttributionVisualizer obj's underlying member method code with example usage: obj._serve(blocking, debug, port, bind_all) and returns: start_server