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This repository was archived by the owner on Jul 1, 2024. It is now read-only.
This repository was archived by the owner on Jul 1, 2024. It is now read-only.

Quantized Model Output NaN / 0 #9

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@sophia1488

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@sophia1488

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Hi, I want to apply DiffQ to my source separation model with PyTorch Lightning framework, and I added the quantizer following the Usage on ReadMe.

In my callback function during training, it works fine when evaluating the unquantized model with SDR.
But when I use the quantized model to run separation on MUSDB test set or other pop songs, the separation result is NaN or contains lots of 0s.

Do you have any comments or suggestions on this? Hope to get your reply!
Sincerely,

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