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Add compatibility for attention applied only at single layer of MusicRNN.

See original GitHub issue

Hi,

I’ve trained a DrumsRNN model with my own drum sequence dataset and been trying to use it with magenta-js. When I load the model, I get errors apparently caused by the differences in the layer structure described in weights_manifest.json. I suspect that it is a compatibility issue.

Which tensorflow version is compatible with magenta-js?

FYI, I used tensorflow 1.4.1 to train the DrumsRNN model.

Thanks

Issue Analytics

State:
Created 5 years ago
Comments:7 (4 by maintainers)

Top GitHub Comments

1reaction

adarobcommented, Jul 19, 2018

Hi Nao,

Unfortunately I won’t be able to look into this until early next week. If you want something that works before then, it should be possible to retrain your model with “–hparams=attn_length=0”. The resulting checkpoint should then work, although it may not be perform quite as well without attention.

-Adam

On Thu, Jul 19, 2018 at 7:39 AM Nao Tokui notifications@github.com wrote:

Thank you! here are my checkpoints: https://www.dropbox.com/sh/84ohnr9ee8yvzvm/AADn70s7HGzcLhQkLAfEaRbna?dl=0

— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/tensorflow/magenta-js/issues/106#issuecomment-406299982, or mute the thread https://github.com/notifications/unsubscribe-auth/ABCa6M6GuqQrMsqqxQrD5VLriaUTclCTks5uIJo8gaJpZM4VMtv- .

0reactions

adarobcommented, Apr 26, 2022

Sorry. but I am not sure if/when we will have time to fix this on our end. However, we would absolutely accept PR hhat does!