class_docstr: Loader that loads the transcriptions of audio
code: def set_context(self):
      if get_device() == "cuda" and self.asr_gpu:
          import torch
  
          n_gpus = (
              torch.cuda.device_count()
              if torch.cuda.is_available()
              else 0
          )
          if n_gpus > 0:
              self.context_class = torch.device
              self.device = "cuda"
          else:
              self.device = "cpu"
      else:
          self.device = "cpu"
      if get_device() == "cuda" and self.asr_gpu:
          if self.gpu_id == "auto":
              # blip2 has issues with multi-GPU.  Error says need to somehow set language model in device map
              # device_map = 'auto'
              self.gpu_id = 0
          self.device_map = {"": "cuda:%d" % self.gpu_id}
      else:
          self.gpu_id = -1
          self.device_map = {"": "cpu"}
  
imports: import logging
  import os
  import tempfile
  import time
  from typing import Dict, Iterator, Optional, Tuple
  from langchain.document_loaders.base import BaseBlobParser
  from langchain.document_loaders.blob_loaders import Blob
  from langchain.document_loaders.generic import GenericLoader
  from langchain.schema import Document
  from typing import List, Union, Any, Tuple
  import requests
  from langchain.docstore.document import Document
  from langchain.document_loaders import ImageCaptionLoader
  from utils import get_device, NullContext, clear_torch_cache, have_use_faster, makedirs
  from importlib.metadata import distribution, PackageNotFoundError
  from typing import Iterable, List
  from langchain.document_loaders.blob_loaders import FileSystemBlobLoader
  from langchain.document_loaders.blob_loaders.schema import Blob, BlobLoader
label_desc: Use image node_id 2 for calling the H2OAudioCaptionLoader obj's underlying member method code with example usage: obj.set_context() without return types