I was trying to run through the different Resnet models (32,50,101,152) on the Multi-label classification set, and it appears that 152 is not supported. Just curious, is this true or am I reading the code wrong?
I went through the following troubleshooting included updating my libraries. I see PyTorch supports Resnet 152 in torchvision/resnet.py.
Turning back to the Fast.ai folder I used:
grep -nr resnet
to find that both torch_imports.py and conv_learner.py are calling the other Resnet models but not 152.
I tried altering the code in both files to add resnet152 but could not trace down all the dependencies.
It is not supported. You can try to add it. Jeremy recently added VGG16. Here is his CL.
I created a pull request to add these two networks (Resnet152 and VGG19). Tested via Lesson 1 Notebook.
Great work Ramesh, that will be very nice to have.
I guess I never used it since resnext101_64 seems like the best ‘big model’ choice. But thanks for the PR - no harm having the option!
Agreed the more model options the better! (imo)