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View Code? Open in Web Editor NEWCode for "Adversarial Distillation of Bayesian Neural Network Posteriors" https://arxiv.org/abs/1806.10317
Code for "Adversarial Distillation of Bayesian Neural Network Posteriors" https://arxiv.org/abs/1806.10317
Hi there! thanks for open sourcing this work.
I want to run the APD experiments to see what a bunch of different GAN samples look like.
So if I understand this right, I want to use train_new.py
with
python3 train_new.py model/config/fc-mnist-400.yaml opt/config/sgld-mnist-1-1.yaml mnist-50000 --cuda
Most of this is fine, but opt/apd-config is missing. I couldn't find it in past commits either.
Then I want to run the GAN to actually get samples, as well as see their shape for fcnn2
python3 gan.py 'saves/fc-mnist-400-X-sgld-mnist-1-1-X-mnist-50000@2018-10-29' opt/gan-config/gan1.yaml --cuda
This fails immediately with augument errors that I did not pass a exp_dir
, I hardcoded this and there are argument KeyError
s for --test
Is there a working set of commands I can use for training some networks and getting GAN samples?I feel like I might just be missing something, or I'm looking at the wrong code
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