PyTorch implementation of PixelCNN from Pixel Recurrent Neural Networks
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PyTorch implementation of PixelCNN from "Pixel Recurrent Neural Networks"
PyTorch implementation of PixelCNN from Pixel Recurrent Neural Networks
In the mask with type 'B', the mask was generated with code:
mask[:, :, height // 2] = 0
which I believe should be :
mask[:, :, height // 2 + 1:] = 0
Thanks for your code.
Hi, got this error on sample func (solver.py)
Saved sampled images at f/cs/labs/yedid/daniel023/glann_images/cifar_glo_clean/PixelCNN/results/2019-06-22_15-51-26/epoch-1.png)
Epoch: 0%| | 0/200 [00:00<?, ?it/s]> /cs/labs/yedid/daniel023/glann_images/cifar_glo_clean/PixelCNN/solver.py(142)sample()
140 ipdb.set_trace()
141
--> 142 save_image(sample, image_path)
ipdb>
Exiting Debugger.
Hi, in the paper, they mentioned that they used a vertical and horizontal convolution stack to overcome blindspot. Was this also included in your implementation?
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