code: def whisper_decoder(request):
      return OpenAIWhisperDecoder(
          vocab_size=VOCAB_SIZE_WHISPER_MULTILINGUAL,
          encoder_output_size=384,
          whisper_model="tiny",
      )
  
file_path: espnet/test/espnet2/asr/decoder/test_whisper_decoder.py
imports: import sys
  import pytest
  import torch
  from packaging.version import parse
  from espnet2.asr.decoder.whisper_decoder import OpenAIWhisperDecoder
label_desc: Use image node_id 1 for calling a global function with example usage: whisper_decoder(request) and returns: OpenAIWhisperDecoder