Comments (18)
@p0p4k bug is on line
scaler.scale(loss_gen_all).backward()
Seems like GradScalar has issues with multi-gpu. I removed it and replaced it with standard backprop. The issue persists. Looks like a multi GPU issue.
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Haven't tested yet. Trying a run with fp16 enabled.
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Hi, temporarily turn off duration discriminator and tell me if it works.
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Yes it seems to be working for now. Any reason with the duration discriminator is causing the issue ?
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I feel my implementation was too naive. Might need to correct it with some testing. Busy on other models now, will do it when I have some time on me. Let me know about the audio quality after you train. Thanks.
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Hello,thank you for your great effort !
I meet the same problem and I want to know will you correct it recently or still busy on other models?
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I have moved to improving pflowtts
.
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I have moved to improving
pflowtts
.
Hi, p0p4k,
How is the pflowtts growing now? is it a better choice then vits2? can it support both normal tts and zero-shot tts?
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I think better than vits/vits2. Only downside it not being e2e.
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I think better than vits/vits2. Only downside it not being e2e.
ok, thank you.
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@p0p4k do you know the bug here?
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@codeghees which part ? training stuck part?
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yep
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In the same boat.
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@codeghees did not look into this personally cause of no gpu yet. Maybe you can try to debug and send a PR. I can assist you. Thanks a lot!
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Yep, will do! Trying to debug this.
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Works on single gpu?
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@p0p4k I have no issues for single GPU training. But it will stuck if I do multiple GPU training. Any success for resolving the issue?
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Related Issues (20)
- Checkpoint saves? HOT 1
- about duration-discriminator training objective HOT 8
- DurationDiscriminatorType error HOT 5
- how to know whether the model is fitting HOT 1
- Duration Discriminator problem HOT 18
- Where is L_mse? HOT 11
- colab error HOT 3
- Bad quality audio when infer with custom condition HOT 1
- good, how this combine to the bert-vits2? HOT 2
- Keep training on existed checkpoint HOT 3
- Training doesn´t start when speaker IDs isn´t sequential from 0 HOT 1
- hop size issue HOT 1
- Training using SDP (and with DP by ratio?) HOT 6
- Have anyone tried to decrease the feature channels of the model?
- AlignerNet instead of MAS HOT 17
- why 'duration_discriminator_type' is redefined?
- After finishing the training, continuing the training revealed that the curve of learning rate had reversed。 HOT 6
- Why are you using "use_mel_posterior_encoder"? HOT 4
- RuntimeError: during training
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