code: def render(self, debug=True):
      from captum.insights.attr_vis.widget import CaptumInsights
      from IPython.display import display
  
      widget = CaptumInsights(visualizer=self)
      display(widget)
      if debug:
          display(widget.out)
  
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 4 for calling the AttributionVisualizer obj's underlying member method code with example usage: obj.render(debug) without return types