class_docstr: Wrapper of runtime module, caller can use this module to set parameters and get outputs.
  
  Parameters
  ----------
  module : Union[PipelineExecutorFactoryModule, Module]
      Common interface for pipeline executor factory modules or Module.
class_docstr_tok: ["Wrapper","of","runtime","module",",","caller","can","use","this","module","to","set","parameters","and","get","outputs",".","Parameters","--","--","--","--","--","module",":","Union","[","PipelineExecutorFactoryModule",",","Module","]","Common","interface","for","pipeline","executor","factory","modules","or","Module","."]
docstr: Import files to create a pipeline executor.
  
  Parameters
  ----------
  config_file_name : str
      Path and name of the configuration file, the configuration file contains the
      disk path of the parameter file, library file, and JSON file.
docstr_tok: ["Import","files","to","create","a","pipeline","executor",".","Parameters","--","--","--","--","--","config_file_name",":","str","Path","and","name","of","the","configuration","file",",","the","configuration","file","contains","the","disk","path","of","the","parameter","file",",","library","file",",","and","JSON","file","."]
code: def load_library(config_file_name):
      """Import files to create a pipeline executor.
  
      Parameters
      ----------
      config_file_name : str
          Path and name of the configuration file, the configuration file contains the
          disk path of the parameter file, library file, and JSON file.
      """
      with open(config_file_name, "r") as file_handle:
          config = file_handle.read()
      config = json.loads(config)
      if "load_config" not in config or "pipeline_config" not in config:
          raise RuntimeError(
              f'"load_config" or "pipeline_config" is missing in {config_file_name}'
          )
  
      # The config file used to load library, prameters, and JSON files.
      with open(config["load_config"], "r") as file_handle:
          load_config = file_handle.read()
  
      # The config file used to load pipeline compute config.
      with open(config["pipeline_config"], "r") as file_handle:
          pipeline_config = file_handle.read()
  
      # Load a PipelineExecutor from the disk files.
      load_library = get_global_func(
          "tvm.pipeline_executor.load", allow_missing=False
      )
      module = load_library(load_config, pipeline_config)
  
      return PipelineModule(module)
  
imports: import json
  import os
  import time
  from tvm import runtime
  from tvm._ffi import get_global_func
  from tvm.contrib import graph_executor
label_desc: Use image node_id 12 for calling the PipelineModule obj's underlying member method code with example usage: obj.load_library(config_file_name) and returns: PipelineModule