Thank you for your guidance!
So when I do that operation I get a 8x8 grid filters (so 64 filters of variable sizes), doing that over a resnet18. Visualizing the resnet18 model feature maps, I see the model is composed of 72 layers (ResNet blocks are included). If all weights are corresponding to filters (avgpool and cn) I imagine that is showing “filters” of also Relu layers and only 8 untrainable layers are excluded those corresponding to the ResNet skip blocks??
You are everywhere here, reading you a lot. Thank you for your effort and teachings!