I use Pytorch, I would like to train The Cifar-100 images dataset which are of the shape 32,32,3 and resnet model which is trained on images of 224,224,3.
Is it necessary in pytorch to add “UpSampling layer” like in Keras? or Pytorch can do this implicitly ?