update

examples/sound_classification_by_lstm/step_9_evaluation_onnx_model.py

@@ -92,6 +92,7 @@ def main():
         window_fn=torch.hamming_window if config.mel_spectrogram_param["window_fn"] == "hamming" else torch.hann_window,
         n_mels=config.mel_spectrogram_param["n_mels"],
     )
+    wave_to_mel_spectrogram.to(device)
 
     df = pd.read_excel(evaluation_file.as_posix())
     result = list()