code: def test_xlsr_pretraining_models(bundle):
      """Smoke test of downloading weights for pretraining models"""
      bundle.get_model()
  
imports: import os
  import pytest
  import torchaudio
  from torchaudio.pipelines import HUBERT_ASR_LARGE, HUBERT_ASR_XLARGE, HUBERT_BASE, HUBERT_LARGE, HUBERT_XLARGE, VOXPOPULI_ASR_BASE_10K_DE, VOXPOPULI_ASR_BASE_10K_EN, VOXPOPULI_ASR_BASE_10K_ES, VOXPOPULI_ASR_BASE_10K_FR, VOXPOPULI_ASR_BASE_10K_IT, WAV2VEC2_ASR_BASE_100H, WAV2VEC2_ASR_BASE_10M, WAV2VEC2_ASR_BASE_960H, WAV2VEC2_ASR_LARGE_100H, WAV2VEC2_ASR_LARGE_10M, WAV2VEC2_ASR_LARGE_960H, WAV2VEC2_ASR_LARGE_LV60K_100H, WAV2VEC2_ASR_LARGE_LV60K_10M, WAV2VEC2_ASR_LARGE_LV60K_960H, WAV2VEC2_BASE, WAV2VEC2_LARGE, WAV2VEC2_LARGE_LV60K, WAV2VEC2_XLSR53, WAV2VEC2_XLSR_1B, WAV2VEC2_XLSR_300M, WAVLM_BASE, WAVLM_BASE_PLUS, WAVLM_LARGE
label_desc: Use image node_id 2 for calling a global function with example usage: test_xlsr_pretraining_models(bundle) without return types