Transformers when fine tuning a model

I’ve heard that images which are used for transfer learning of Resnet (i.e., pre-trained) models should be resized to 224x224px (or other kinds of transformations). I wonder if it is required when using fine_tune albeit a description in the docs which follows:

If normalize and pretrained are True, this function adds a Normalization transform to the dls (if there is not already one) using the statistics of the pretrained model. That way, you won’t ever forget to normalize your data in transfer learning.

Normalization would modify (i.e. normalize) the images themselves, not their size. So resizing might still be required