code: def load(
      uri: InputType,
      frame_offset: int = 0,
      num_frames: int = -1,
      normalize: bool = True,
      channels_first: bool = True,
      format: Optional[str] = None,
      buffer_size: int = 4096,
  ) -> Tuple[torch.Tensor, int]:
      return load_audio(
          uri,
          frame_offset,
          num_frames,
          normalize,
          channels_first,
          format,
      )
  
imports: import os
  import re
  import sys
  from typing import BinaryIO, Optional, Tuple, Union
  import torch
  import torchaudio
  from .backend import Backend
  from .common import AudioMetaData
label_desc: Use image node_id 2 for calling the FFmpegBackend obj's underlying member method code with example usage: obj.load(uri, frame_offset, num_frames, normalize, channels_first, format, buffer_size) and returns: load_audio