code: def explain_model(self, question, context, explain_method="gradient"):
      if explain_method == "gradient":
          return self.get_gradient(question, context)
  
file_path: neuralqa/neuralqa/reader/bertreader.py
imports: from neuralqa.reader import Reader
  import tensorflow
  import numpy
  import time
  import logging
label_desc: Use image node_id 10 for calling the BERTReader obj's underlying member method code with example usage: obj.explain_model(question, context, explain_method) and returns: self