class_docstr: infer from forzen model 
code: def __init__(self, config, gpu_str=None, mode=utils.INFER):
      self._config = config
      self._mode = mode
      model = config["serving"]["model"]
      super().__init__(model, gpu_str="0")
  
      self.inputs = self.graph.get_tensor_by_name(
          config["serving"]["inputs"]
      )
      self.input_length = self.graph.get_tensor_by_name(
          config["serving"]["input_length"]
      )
      self.pred_valid = self.graph.get_tensor_by_name(
          config["serving"]["outputs"]
      )
  
file_path: delta/delta/serving/eval_asr_pb.py
imports: import delta.compat
  from absl import logging
  from delta import utils
  from delta.utils import metrics
  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 1 to create a new ASREvaluater object from inherited base classes: Evaluater with example: obj = ASREvaluater(config, gpu_str, mode)