Hey guys, I was wondering if it’s possible to create a convnet with variable size input images as training data. If so can someone provide a simple example on how to achieve sth like that. For instance in tensorflow I would go and simply define the input shape on the first conv layer as (None, None, 3). Can we do sth like that in pytorch?
Thanks!