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Very nice job, the code is very nice!
**Context.** Autoregressive models (including Image Transformer) can be viewed as a one layer normalizing flow as described in [this article](https://arxiv.org…
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Hello, thanks for your work.
I am fighting some issues when training your models. I followed your [Instructions](https://github.com/ritheshkumar95/pytorch-vqvae#instructions).
First, I think you m…
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How are the multiple solutions mentioned in your article reflected in the training and testing process?
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## What
Reproduce the train.track baseline, then change `embed_inputs=True` and
## Hypothesis
I would like to know that `embed_inputs` works properly, and that performance on a real world au…
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Hi and first of all thanks for the great code!
Can I ask why you stack a matrix of ones in the penultimate channel here?
https://github.com/USTC-JialunPeng/Diverse-Structure-Inpainting/blob/467b7a…
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Why does this function take long?
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Thanks for your amazing job, the result is amazing. But the inference time is such long.
On 32G V100 the inference time is 34ms. Is it normal?
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The quality of generated images is not good, How we can get exact images as the z is passed as an input to the mode;?
thnks
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Hi all,
Due to a new update, it is not possible to `import tensorflow_probability` anymore.
Using `cloudpickle >> import tensorflow_probability as tfp
Traceback (most recent call last):
File "…
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I am trying to implement the VQ-VAE using TensorFlow 2.X.
I borrow the code of the VQ-VAE training from [this github][1] which is written in TF 2x. and I'm working on merging the Keras code of Pixel…