code: def _smoke_test(self, model, device, dtype):
      model = model.to(device=device, dtype=dtype)
      model = model.eval()
  
      batch_size, num_frames, in_features = 3, 1024, 64
      features = torch.randn(
          batch_size,
          num_frames,
          in_features,
          device=device,
          dtype=dtype,
      )
      lengths = torch.randint(
          low=0,
          high=num_frames,
          size=[
              batch_size,
          ],
          device=device,
      )
  
      model(features, lengths)
  
file_path: audio/test/torchaudio_unittest/prototype/conformer_wav2vec2_test.py
imports: import torch
  from parameterized import parameterized
  from torchaudio.prototype.models import conformer_wav2vec2_base, conformer_wav2vec2_pretrain_base, conformer_wav2vec2_pretrain_large
  from torchaudio_unittest.common_utils import disabledInCI, nested_params, skipIfNoCuda, torch_script, TorchaudioTestCase
label_desc: Use image node_id 1 for calling the TestConformerWav2Vec2 obj's underlying member method code with example usage: obj._smoke_test(model, device, dtype) without return types