class_docstr: SingleNodeModel defines abstraction for model service which loads a
  single model.
class_docstr_tok: ["SingleNodeModel","defines","abstraction","for","model","service","which","loads","a","single","model","."]
docstr: Internal inference methods. Run forward computation and
  return output.
  
  Parameters
  ----------
  data : list of NDArray
      Preprocessed inputs in NDArray format.
  
  Returns
  -------
  list of NDArray
      Inference output.
docstr_tok: ["Internal","inference","methods",".","Run","forward","computation","and","return","output",".","Parameters","--","--","--","--","--","data",":","list","of","NDArray","Preprocessed","inputs","in","NDArray","format",".","Returns","--","--","--","-","list","of","NDArray","Inference","output","."]
code: def _inference(self, data):
      """
      Internal inference methods. Run forward computation and
      return output.
  
      Parameters
      ----------
      data : list of NDArray
          Preprocessed inputs in NDArray format.
  
      Returns
      -------
      list of NDArray
          Inference output.
      """
      return data
  
file_path: serve/ts/model_service/model_service.py
imports: import ast
  import json
  import logging
  import os
  import time
  from abc import ABCMeta, abstractmethod
label_desc: Use image node_id 2 for calling the SingleNodeService obj's underlying member method code with example usage: obj._inference(data) and returns: data