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tuan3w / spleeter-pytorch

Spleeter implementation in pytorch
MIT License
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What if L>512? #1

Closed qq12cvhj closed 4 years ago

qq12cvhj commented 4 years ago

Here in the example file the L<512,so it is right.but what if the L > 512?There will be exceptions be thrown. mask = mask.permute([0, 3, 2, 1])[:, :, :L, 0].unsqueeze(-1)

tuan3w commented 4 years ago

Hi @qq12cvhj , It should be fixed in latest commit. However, you should use this repo for learning purpose only, since it has bugs as noted in README and it only supported 2-stems model.

You should use [original repo] (https://github.com/deezer/spleeter) for production usage. Otherwise, you might try similar projects like demux or open-unmix.

qq12cvhj commented 4 years ago

Good job.I saved the model converted by pytorch,just to run it on mobile platforms,however tensorflow do not work on these platforms.So I choose your edition.Ok,I just use it in research work,not a productive env.I'll try it.