class_docstr: Plugin for understanding/debugging model inference.
    
class_docstr_tok: ["Plugin","for","understanding\/debugging","model","inference","."]
code: def _serve_js(self, request):
      del request  # unused
      filepath = os.path.join(
          os.path.dirname(__file__), "static", "index.js"
      )
      with io.open(filepath, encoding="utf-8") as infile:
          contents = infile.read()
      return werkzeug.Response(
          contents, content_type="application/javascript"
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import copy
  import io
  import json
  import logging
  import math
  import numpy
  import os
  import werkzeug
  from werkzeug import wrappers
  from six.moves import xrange
  from google.protobuf import json_format
  from grpc.framework.interfaces.face.face import AbortionError
  from werkzeug import wrappers
  import tensorflow
  from tensorboard.backend import http_util
  from tensorboard.plugins import base_plugin
  from utils import common_utils
  from utils import inference_utils
  from utils import platform_utils
label_desc: Use image node_id 5 for calling the WhatIfToolPlugin obj's underlying member method code with example usage: obj._serve_js(request) and returns: werkzeug