class_docstr: A stage in an audio transform pipeline.
class_docstr_tok: ["A","stage","in","an","audio","transform","pipeline","."]
docstr: Apply this stage to a sox.Transformer object.
  
  Args:
    transformer: The sox.Transformer object to which this pipeline stage
        should be applied. No audio will actually be transformed until the
        `build` method is called on `transformer`.
docstr_tok: ["Apply","this","stage","to","a","sox.Transformer","object",".","Args",":","transformer",":","The","sox.Transformer","object","to","which","this","pipeline","stage","should","be","applied",".","No","audio","will","actually","be","transformed","until","the","`","build","`","method","is","called","on","`","transformer","`","."]
code: def apply(self, transformer):
      """Apply this stage to a sox.Transformer object.
  
      Args:
        transformer: The sox.Transformer object to which this pipeline stage
            should be applied. No audio will actually be transformed until the
            `build` method is called on `transformer`.
      """
      args = dict((param.name, param.sample()) for param in self.params)
      getattr(transformer, self.name)(**args)
  
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 the AudioTransformStage obj's underlying member method code with example usage: obj.apply(transformer) without return types