New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
condensenet-86 parameters number different from torchsummary #31
Comments
Hi there, I think you were testing with a wrong model. Here is our profile with the package you provided:
Thanks! |
Okay, I know where the difference comes from, the provided params are from converted model, right? python main.py --model condensenet_converted -b 64 -j 2 cifar10 --epochs 300 --stages 14-14-14 --growth 8-16-32 --gpu 0 `
--evaluate-from E:/CondenseNet_log/results/savedir/save_models/converted_model_best.pth.tar The one I submit in the issue is before the training epoch begin. |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Hi, I noticed that condensenet-86 on cifar10 is 0.52M on cifar10
However using torchsummary package, the total calculated params are as follow:
the parameters are calculated as
Do you know why is there the difference?
Thanks in advance
The text was updated successfully, but these errors were encountered: