How to extract the intermediate layers of vgg16 model

quantization
1

I am trying to extract intermediate feature layers of vgg16 using python on spyder IDE, and then looking to compress the feature map.

Looking for answers,…

2

do you mean the weights or the activations? for the activations i posted a method here: I saved the quantized weight and loaded it with the model after torch.ao.quantization.convert(). how do I print the output of each layer of the network?

for hte weights you can just print them with something like

for name, param in model.named_parameters():
   print(name, param)