code: def speed(path):
      wav, sample_rate = torchaudio.backend.sox_io_backend.load(path)
      effects = [
          ["speed", "1.03756523535464655"],
          ["rate", f"{sample_rate}"],
      ]
      return torchaudio.sox_effects.apply_effects_tensor(
          wav, sample_rate, effects
      )[0]
  
imports: import os
  import platform
  import sys
  from concurrent.futures import ProcessPoolExecutor
  from typing import List, Tuple
  from unittest import skipIf
  import numpy
  import torch
  import torchaudio
  from torchaudio_unittest.common_utils import get_whitenoise, PytorchTestCase, save_wav, skipIfNoSox, TempDirMixin
label_desc: Use image node_id 2 for calling a global function with example usage: speed(path) and returns: torchaudio