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CUDA out of memory #27
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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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Thank you so much, though I later found that it was my preprocessing problem... |
Usually the SDR is positive after 1 epochs.
…On Sat, 13 Nov 2021 at 21:00, Sophia Y. Chou ***@***.***> wrote:
Thank you so much, though I later found that it was my preprocessing
problem...
One other thing I'd like to ask is that is it normal to have negative SDR
at epoch 8?
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Got it, thanks! |
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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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