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: Using the "name" to get the corresponding subgraph index and also get the "input name"
  of the corresponding subgraph interface.
  Returns
  -------
  input map: Array[str]
      Returning the index and "input name" of the subgraph.
docstr_tok: ["Using","the","``","name","''","to","get","the","corresponding","subgraph","index","and","also","get","the","``","input","name","''","of","the","corresponding","subgraph","interface",".","Returns","--","--","--","-","input","map",":","Array","[","str","]","Returning","the","index","and","``","input","name","''","of","the","subgraph","."]
code: def get_input_pipeline_map(self, name):
      """Using the "name" to get the corresponding subgraph index and also get the "input name"
      of the corresponding subgraph interface.
      Returns
      -------
      input map: Array[str]
          Returning the index and "input name" of the subgraph.
      """
      return self._get_input_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 3 for calling the PipelineModule obj's underlying member method code with example usage: obj.get_input_pipeline_map(name) and returns: self