hello every one,
Is there a way in PyTorch to get the derivation from the net.
I want to find the distance between two points, say x and y as follows:
The output of the encoder is x and y:
output_feature ,class=model(input)
x and y are the output_feature [2,2048]
the input is [2,8,3,128,128]
The distance to be calculated : (x-y)(transpose)   J(transpose)  J  (x-y).
with J being the Jacobian matrix wrt the encoder.
how can I calculate J in PyTorch?