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[D] GCP compute enging pricing question
not sure exactly what you mean by dimensionality of the forward passes, are you meaning the size of each layer? If it helps I've forked this https://github.com/rosinality/vq-vae-2-pytorch/blob/master/vqvae.py dimensionality of a single sample is [80000,3,1] ( batch size which works for me is about 8 size of the dataset is around 35000
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Using VQ-VAE to encode a matrix to a vector and back again
I am trying to use https://github.com/rosinality/vq-vae-2-pytorch for this purpose.
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2
1,438
0.0
about 1 year ago
rosinality/vq-vae-2-pytorch is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of vq-vae-2-pytorch is Python.
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