Evaluation metrics for machine-composed symbolic music. Paper: "The Jazz Transformer on the Front Line: Exploring the Shortcomings of AI-Composed Music through Quantitative Measures", ISMIR 2020
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Something wrong with inference.py, the output file can't be played normally #1
As I follow the instructions to compose music
I got this log output:
Start model inference... 2020-08-05 05:55:32.732437: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2020-08-05 05:55:33.762416: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 failed iterations: 1 failed iterations: 1 failed iterations: 2 failed iterations: 3 failed iterations: 4 failed iterations: 5 failed iterations: 6 failed iterations: 7 failed iterations: 8 failed iterations: 9 failed iterations: 10 failed iterations: 1 failed iterations: 1 failed iterations: 1 generated 6460 events First 20 events: ['Part-Start_I', 'Rep-Start_1', 'Bar', 'Position_0/64', 'Tempo-Class_0', 'Tempo_67.50', 'Position_16/64', 'Tempo-Class_0', 'Tempo_65.00', 'Position_32/64', 'Tempo-Class_0', 'Tempo_67.50', 'Position_48/64', 'Tempo-Class_0', 'Tempo_62.50', 'Position_55/64', 'Phrase', 'MLU-Type_lick', 'MLU-Subtype_lick-general', 'Backref-Referred']
It did generate midi file in output dir, but the file can't be played in normal player. It seems like the writing file stage makes something wrong ...