Hi
I want to train a 2-conv/3-conv layered model by feeding and transforming every single input image into multiple resolution, e.g., 128,96 and 64,48. At a specific conv-layer (e.g, 3rd conv), I then need the tensor outputs of both the resolution. What can be the easiest way to do it on pytroch?
Thank You.