diffwave-sashimi
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Regarding conditional generation on SC09
Hello, thank you so much for your work, do we have conditional model checkpoint for SC)( currently?
We didn't train any conditional models. SC09 is a dataset for unconditional generation.
Thanks, besides, during the generation process, I encounter a problem that "size mismatch for c_layers.4.layer.D: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1, 512])". How to solve it?
Sorry I missed this comment. I'm not sure why you got this error if using this repo at HEAD, because I checked that everything loaded. Note that, according to the README, you need to go to a specific checkpoints
branch to load pre-trained models.
If you pasted in a later version of S4 then it's possible to get these errors because of small changes in the model. One could just load and modify the weights to resolve this.