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#!/usr/bin/env python3
import ipywidgets as widgets
from captum.insights import AttributionVisualizer
from captum.insights.attr_vis.server import namedtuple_to_dict
from traitlets import Dict, Instance, List, observe, Unicode
@widgets.register
class CaptumInsights(widgets.DOMWidget):
"""A widget for interacting with Captum Insights."""
_view_name = Unicode("CaptumInsightsView").tag(sync=True)
_model_name = Unicode("CaptumInsightsModel").tag(sync=True)
_view_module = Unicode("jupyter-captum-insights").tag(sync=True)
_model_module = Unicode("jupyter-captum-insights").tag(sync=True)
_view_module_version = Unicode("^0.1.0").tag(sync=True)
_model_module_version = Unicode("^0.1.0").tag(sync=True)
visualizer = Instance(klass=AttributionVisualizer)
insights_config = Dict().tag(sync=True)
label_details = Dict().tag(sync=True)
attribution = Dict().tag(sync=True)
config = Dict().tag(sync=True)
output = List().tag(sync=True)
def __init__(self, **kwargs) -> None:
super(CaptumInsights, self).__init__(**kwargs)
self.insights_config = self.visualizer.get_insights_config()
self.out = widgets.Output()
with self.out:
print("Captum Insights widget created.")
@observe("config")
def _fetch_data(self, change):
if not self.config:
return
with self.out:
self.visualizer._update_config(self.config)
self.output = namedtuple_to_dict(self.visualizer.visualize())
self.config = dict()
@observe("label_details")
def _fetch_attribution(self, change):
if not self.label_details:
return
with self.out:
self.attribution = namedtuple_to_dict(
self.visualizer._calculate_attribution_from_cache(
self.label_details["inputIndex"],
self.label_details["modelIndex"],
self.label_details["labelIndex"],
)
)
self.label_details = dict()
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