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: Use the name of the parameters group to get the corresponding runtime module index.
  
  Parameters
  ----------
  name: str
      The parameter group name.
  
  Returns
  -------
  module_index: int
      The index of the runtime module.
docstr_tok: ["Use","the","name","of","the","parameters","group","to","get","the","corresponding","runtime","module","index",".","Parameters","--","--","--","--","--","name",":","str","The","parameter","group","name",".","Returns","--","--","--","-","module_index",":","int","The","index","of","the","runtime","module","."]
code: def get_params_group_pipeline_map(self, name):
      """Use the name of the parameters group to get the corresponding runtime module index.
  
      Parameters
      ----------
      name: str
          The parameter group name.
  
      Returns
      -------
      module_index: int
          The index of the runtime module.
      """
      return self._get_params_group_pipeline_map(name)
  
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 4 for calling the PipelineModule obj's underlying member method code with example usage: obj.get_params_group_pipeline_map(name) and returns: self