qiuqiangkong
commented
2 years ago Hi, please use ResUNet_subband model, it is 4x smaller and the performance is close to the ResUNet system.
On Tue, 9 Nov 2021 at 14:30, Sophia Y. Chou @.***> wrote:
Hi! First, thanks for your contribution to music source separation! Since I'd like to separate vocals & accompaniment using only 1 model, and the pre-trained model you provided has only one target, I decided to train it from scratch. I also modify the code so that a validation set is added.
However, I cannot train it on 3 GTX 1080 with small batch size (<12), and I thought that the ResUNet_ismir doesn't require that much memory? Or does it really need a lot of GPU memory? Could you provide some insight, like how long it takes for you to train a model and how many GPU memory it requires?
Thank you a lot!
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sophia1488
Hi! First, thanks for your contribution to music source separation! Since I'd like to separate vocals & accompaniment using only 1 model, and the pre-trained model you provided has only one target, I decided to train it from scratch. I also modify the code so that a validation set is added.
However, I cannot train it on 3 GTX 1080 with small batch size (<12), and I thought that the ResUNet_ismir doesn't require that much memory? Or does it really need a lot of GPU memory? Could you provide some insight, like how long it takes for you to train a model and how many GPU memory it requires?
Thank you a lot!