Comments (2)
Hi again,
thanks for your comments and explanation. I was able to make the guided_backprop.py
code work with resnet18
and up with minor modifications. I decided this is probably not worthy of a pull request, since my changes are local only to guided_backprop.py
. Instead I published my changes in a gist for future reference as similar requests seem to have appeared in the past (issue #3).
Thanks a lot again,
MFreidank
from pytorch-cnn-visualizations.
Hello,
No, it won't work like that for ResNet because of residual layers' nested nature. You have to update the line where the code iterates through the layers to cover nested sequential layers.
Have a look at how ResNet architecture is organized in Pytorch and for example, AlexNet and you will understand it better.
You don't need to make HUGE changes, just a couple of lines will be enough.
Hope it helps,
Utku
from pytorch-cnn-visualizations.
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