class_docstr: Audio type returned by the agent.
class_docstr_tok: ["Audio","type","returned","by","the","agent","."]
docstr: Returns the "raw" version of that object. It is a `torch.Tensor` object.
docstr_tok: ["Returns","the","``","raw","''","version","of","that","object",".","It","is","a","`","torch.Tensor","`","object","."]
code: def to_raw(self):
      """
      Returns the "raw" version of that object. It is a `torch.Tensor` object.
      """
      if self._tensor is not None:
          return self._tensor
  
      if self._path is not None:
          tensor, self.samplerate = sf.read(self._path)
          self._tensor = torch.tensor(tensor)
          return self._tensor
  
imports: import os
  import pathlib
  import tempfile
  import uuid
  import numpy
  from ..utils import is_soundfile_availble, is_torch_available, is_vision_available, logging
label_desc: Use image node_id 3 for calling the AgentAudio obj's underlying member method code with example usage: obj.to_raw() and returns: self, self