code: def _create_jit_pipeline(rir_path, output_path):
      module = torch.jit.script(Pipeline(rir_path))
      print("*" * 40)
      print("* Pipeline code")
      print("*" * 40)
      print()
      print(module.code)
      print("*" * 40)
      module.save(output_path)
  
file_path: audio/examples/libtorchaudio/augmentation/create_jittable_pipeline.py
imports: import argparse
  import os
  import torch
  import torchaudio
label_desc: Use image node_id 1 for calling a global function with example usage: _create_jit_pipeline(rir_path, output_path) without return types