Hello 
I want to use the pretrained models, such as resnet101, and get the features after the layer 4, and save them. I dont want to load a pretrained model because i dont have memory to do that
Then have another model that i want to use those saved features.
To clarify, the features that i want to save have size of 1x1024xWxH and when I reload them I don’t care if they have auto_grad to be True or False.
How can i save the features and then read them and use them in a new model? 
Why am I doing it? My second model is too big and already slow that i dont wanna add another thing on the top of it 
I think this question is the same as how to save and reuse the following tensor A:
A = torch.rand(1,1024,10,10)