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Hi! Thanks for providing code to reproduce your results!
I tried to run a simple experiment with the CIFAR-10 and ResNet18 model based on commands you provided in docstrings. While the training of the model went smoothly, I found that run_sis_on_cifar.py takes a lot of time. I managed to track the problem, which turned out to be the _backselect procedure. It takes approximately a minute to compute a mask for a single image with GPU. Is it expected? If so, how one can produce a masked version of the whole dataset?
Thanks for your help!
The text was updated successfully, but these errors were encountered:
Hi! Thanks for providing code to reproduce your results!
I tried to run a simple experiment with the CIFAR-10 and ResNet18 model based on commands you provided in docstrings. While the training of the model went smoothly, I found that
run_sis_on_cifar.py
takes a lot of time. I managed to track the problem, which turned out to be the_backselect
procedure. It takes approximately a minute to compute a mask for a single image with GPU. Is it expected? If so, how one can produce a masked version of the whole dataset?Thanks for your help!
The text was updated successfully, but these errors were encountered: