Hi there,
When I run the second step as your instructions, I met the "out of memory" problem.
I tried to debug the problem and found it is because the music_data is float64 and the memory is consumed rapidly when converting the list music_data to music_np. (in File "utils/functional.py").
Have you ever met the same problem like me?
Is it possible to use float32 for training data(music_np) without decreasing the performance of the final model?
Hi there, When I run the second step as your instructions, I met the "out of memory" problem. I tried to debug the problem and found it is because the music_data is float64 and the memory is consumed rapidly when converting the list music_data to music_np. (in File "utils/functional.py"). Have you ever met the same problem like me? Is it possible to use float32 for training data(music_np) without decreasing the performance of the final model?
BTW: There are 120G of memory in my computer.