code: def _get_model(self):
      return (
          emformer_rnnt_model(**self._get_model_config())
          .to(device=self.device, dtype=self.dtype)
          .eval()
      )
  
file_path: audio/test/torchaudio_unittest/models/rnnt_decoder/rnnt_decoder_test_impl.py
imports: import torch
  from torchaudio.models import emformer_rnnt_model, RNNTBeamSearch
  from torchaudio_unittest.common_utils import TestBaseMixin, torch_script
label_desc: Use image node_id 3 for calling the RNNTBeamSearchTestImpl obj's underlying member method code with example usage: obj._get_model() and returns: emformer_rnnt_model