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在CVAE-GAN.py的第168-171行:
`# 更新VAE(G)2`
`output = D(recon_data)`
`real_label = torch.ones(batch_size).to(device)`
`vae_loss2 = criterion(output,real_label)`
其中第170行应该是real_label = torch.zeros....吧?…
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Hi,
I found the code cannot produce the results showed in jupyter notebook.Is there any chance that you can update the codes ? Really need some details to make VAE-GAN works.
yzwxx updated
7 years ago
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I appreciate your paper very much, and have read it many times!
Recently I started to read your code to figure out some implementation details. But It seems that your code is not consistent with you…
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```shell
/home/francesco/Desktop/test/VAE-GAN/network.py:187: UserWarning: nn.init.uniform is now deprecated in favor of nn.init.uniform_.
nn.init.uniform(m.weight,-scale,scale)
/home/francesco/D…
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Hello,
I noticed that in the Make-an-aduio 2 paper, you have not reported the reconstruction loss performance of your trained 1D VAE in comparison with the 2D one. I am wondering if you could get …
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- Maybe you can push [VAE-Pytorch](https://github.com/explainingai-code/VAE-Pytorch/tree/main)/[utils](https://github.com/explainingai-code/VAE-Pytorch/tree/main/utils/extract_mnist_images.py) to this…
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## Enhancement
Thanks for this wonderful work.
However, is there any guidance on training the VQ-VAE in MS-ILLM ?
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@shonenkov Great work everyone!
As far as I can tell, there is only VAE decoder with DWT and no corresponding encoder.
Encoding with get_vae(dwt=True) produces the same number of tokens as get_vae(d…
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hi, i'm trying to reproduce your tutorial with pretrained models, but there is a problem with outputting files from the wavenet - after starting infer.sh I get files 1 second long, please tell me what…
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Hi, would it be possible to use the code for anomaly detection ? I'm interested in applying the conditional normalizing flows model for this in the framework of detecting gravitational waves and compa…