code: def save_wav(path: str, wav: torch.Tensor, sample_rate: int):
      assert wav.dim() == 2, wav.shape
      fp = Path(path)
      assert fp.suffix in [".mp3", ".ogg", ".wav", ".flac"], fp
      audio_write(
          fp.parent / fp.stem,
          wav,
          sample_rate,
          fp.suffix[1:],
          normalize=False,
          strategy="clip",
          peak_clip_headroom_db=0,
      )
  
imports: from pathlib import Path
  import torch
  from audiocraft.data.audio import audio_write
label_desc: Use image node_id 3 for calling a global function with example usage: save_wav(path, wav, sample_rate) without return types