Comments (2)
I think https://github.com/rosinality/glow-pytorch/blob/master/model.py#L285 corresponds to https://github.com/openai/glow/blob/master/model.py#L89, which is conditioned on latents, and https://github.com/openai/glow/blob/master/model.py#L180 corresponds to https://github.com/rosinality/glow-pytorch/blob/master/model.py#L346.
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Thanks for your swift reply :)
You're absolutely right! I missed that part. Well, then your implementation is correct and I still don't understand how this represents a prior. I need to do some math to see if I can show/provide a counter-example.
It's unfortunate that this isn't even mentioned in the Glow paper (the fact that the prior params are conditioned on the latents). I'll close this issue as this has nothing to do with your specific implementation anymore, thanks :)
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