code: def run_pipeline(pipeline, input_filename, output_filename):
      """Run an audio transform pipeline.
  
      This will run the pipeline on an input audio file, producing an output audio
      file. Transform parameters will be sampled at each stage.
  
      Args:
        pipeline: The pipeline to run, a list of AudioTransformStage objects.
        input_filename: Path to the audio file to be transformed.
        output_filename: Path to the resulting output audio file.
      """
      transformer = sox.Transformer()
      transformer.set_globals(guard=True)
      for stage in pipeline:
          stage.apply(transformer)
      transformer.build(input_filename, output_filename)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import math
  import random
  import subprocess
  import tempfile
  from magenta.contrib import training
  import sox
  import tensorflow.compat.v1
label_desc: Use image node_id 2 for calling a global function with example usage: run_pipeline(pipeline, input_filename, output_filename) without return types