code: def query_tfmem_rank_score(self, arch_id) -> Dict:
      # todo: here we use the global rank, other than dymalically update the rank
      # todo: so, we directly return the rank_score, instead of the mutilpel_algs score
      # return {"nas_wot": self.api.get_metrics_score(arch_id, dataset)["nas_wot"],
      #         "synflow": self.api.get_metrics_score(arch_id, dataset)["synflow"],
      #         }
      return self.api.get_global_rank_score(arch_id)
  
file_path: singa/examples/model_selection/TRAILS-Database-Native-Model-Selection/internal/ml/model_selection/src/query_api/interface.py
imports: from src.common.constant import Config, CommonVars
  from src.query_api.query_api_img import Gt201, Gt101
  from src.query_api.query_api_mlp import GTMLP
  from src.query_api.query_api_img import ImgScoreQueryApi
  from typing import *
label_desc: Use image node_id 2 for calling the SimulateScore obj's underlying member method code with example usage: obj.query_tfmem_rank_score(arch_id) and returns: self