ajayjain / lmconv Goto Github PK
View Code? Open in Web Editor NEWCode for UAI 2020 paper "Locally Masked Convolution for Autoregressive Models"
Home Page: https://ajayjain.github.io/lmconv/
License: Other
Code for UAI 2020 paper "Locally Masked Convolution for Autoregressive Models"
Home Page: https://ajayjain.github.io/lmconv/
License: Other
Hi,
You wrote in the paper that
"Recomputing the im2col operation achieves 2.7ร memory savings at a 1.3ร slowdown."
I was wondering, how much time/resources did you put into the Celeb-A ?
Does using other pixel ordering compensate for the 1.3x slowdown?
Hey,
Thanks for this very interesting project.
I'm trying to understand the "lmconv" layer but I want to start from the memory inefficient version you mention in the paper:
"The first is an implementation that uses autodifferentiation to compute gradients. As only the forward pass is defined by the user, the implementation is under 20 lines of Python."
Do you have the code reference for this ?
Thanks !
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