class_docstr: infer from forzen model 
class_docstr_tok: ["infer","from","forzen","model"]
docstr: extract speaker embedding 
docstr_tok: ["extract","speaker","embedding"]
code: def predict(self):
      """extract speaker embedding"""
      batch = 0
      try:
          while True:
              batch += 1
              logging.info("process {} batches".format(batch))
              self.run()
      except tf.errors.OutOfRangeError:
          logging.info("Process End")
  
imports: import numpy
  from absl import logging
  import delta.compat
  from delta import utils
  from delta.utils.register import registers
  from delta.utils.register import import_all_modules_for_register
  from delta.serving.base_frozen_model import Evaluater
label_desc: Use image node_id 4 for calling the SpkSpeechEvaluater obj's underlying member method code with example usage: obj.predict() without return types