I am trying to use fastai for my master thesis where I use a Unet to get morphological information about bacterial cells. Hence I dont directly use the output of the Unet but rather extracts the features at the head which later is used for some unsupervised clustering. I am currently at a stage where I would like to see how the skip connections are affecting the feature maps that I am extracting, meaning I would like to drop all/some of the skip connections. I have without luck tried to do so with use of hooks. Are there any easy way to play with the skip connections or do I have to build the encoder/decoder myself - Not that I want to be lazy, I just wanted to see if something already exists within the fastai enviroment. I hope some of you have some input.