How to create a dataloader with variable-size input vision
  
  
    Hi, I’d like to create a dataloader with different size input images, but don’t know how to do that. 
I’ve read the official tutorial on loading custum data (http://pytorch.org/tutorials/beginner/data_loading_tutorial.html), however in the tutorial, all the input images are rescaled to 256x256 and randomly cropped to 224*224. 
I’d like to do another image classification task, and in my task I want to: keep image their original size, and the batch size should be greater than 1. 
I noticed that th…