code: def test_asr_quantize(name, backend):
      model = dynamic_import_asr(name, backend).build(
          10,
          10,
          mtlalpha=0.123,
          adim=4,
          eunits=2,
          dunits=2,
          elayers=1,
          dlayers=1,
      )
      quantized_model = torch.quantization.quantize_dynamic(
          model, {torch.nn.Linear}, dtype=torch.qint8
      )
      assert quantized_model.state_dict()
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_asr_quantize(name, backend) without return types