class_docstr: infer from forzen model 
class_docstr_tok: ["infer","from","forzen","model"]
code: def __init__(self, config, gpu_str=None, mode=utils.INFER):
      self._config = config
      self._mode = mode
      model = os.path.join(
          config["solver"]["service"]["model_path"],
          config["solver"]["service"]["model_version"],
      )
      super().__init__(model, gpu_str=gpu_str)
  
      self.inspect_ops()
  
      self.input_sentence = self.graph.get_tensor_by_name(
          config["solver"]["service"]["input_sentence"]
      )
      self.input_x = self.graph.get_tensor_by_name(
          config["solver"]["service"]["input_x"]
      )
      self.score = self.graph.get_tensor_by_name(
          config["solver"]["service"]["score"]
      )
      self.preds = self.graph.get_tensor_by_name(
          config["solver"]["service"]["preds"]
      )
  
file_path: delta/delta/serving/eval_text_cls_pb.py
imports: import os
  import delta.compat
  from absl import logging
  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 1 to create a new TextClsEvaluater object from inherited base classes: Evaluater with example: obj = TextClsEvaluater(config, gpu_str, mode)