How to get intermediate features from pre-trained model

[mailcorahul (Raghul Asokan)]

You can use register_forward_hook for whichever intermediate layer you want. Check out my previous post below on extracting features.

How to get input&output tensor of a module in backward process

You can store the forward results in an attribute. Simply saving resnet18’s output after first 7x7 conv… class Net(nn.module): def __init__(self): self.net = models.resnet18(pretrained=True) self.remove_handle = self.net._modules['relu'].register_forward_hook(self.forward_hook) self.forward_output = None def forward_hook(self, module, input, output): # save any modules output in an attribute and later use it in backprop. self.forward_output = outp…