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Thanks for this great implementation of PixelCNN. Could you please add a license to your repo? This will allow others to reuse your code "properly".
You can use this [license picker](https://choose…
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Hi @rampage644, i am trying your pixelcnn implementation on cifar with `python train.py -g0 --levels 256 --out data/ --dataset cifar`, but I am receiving assertion error `AttributeError: 'MaskedConvol…
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Hi there, thanks for your work.
I am running main.py on one 1080Ti GPU with memory of 11172MB.
And the parameters are all set by default.
It seems that the PixelCNN++ model has consumed all the m…
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@xzr12
Hi Ziru,
Thanks for your paper and code.
After skimming your paper, I have a question: Are you comparing to "VPN baseline" or "VPN"?
Best,
Pharrell
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I have pushed a module that takes the gradient of the pixel cnn model, and tried to interface it but it receives some nan in input for some reason, also it gets postage stamps of size 65 instead of …
EiffL updated
5 years ago
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How do you use this code, please? Including the reading of datasets, the configuration of the environment, hardware requirements, and so on? Thank you for your help.
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Hi I am running a model implemented by tensorflow with only one GPU, the GPU usage is 95% while the volatile GPU-Util is 0.
Specifically I have Tesla k40m with cuda 7.0 and cudnn 6.5v2 installed on C…
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Having these implementations of baselines and their training curves is a fantastic help -- thanks! Is there any intention of releasing an implementation of DQN-CTS or DQN-PixelCNN at any point?
ezliu updated
6 years ago
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Thanks for this clear notebook example, I have one question regarding construction of the quantized image:
In the paper, it was mentioned that we could use 'prior' like PixelCNN to model the constr…
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hi,
I do not know why the WAV should be rescaled during the preprocessing procedure, in this way:
```
if hparams.rescale:
wav = wav / np.abs(wav).max() * hparams.rescaling_max
```
Could you t…
ghost updated
6 years ago