How to iterate over two dataloaders simultaneously using pytorch?

Question

I am trying to implement a Siamese network that takes in two images. I load these images and create two separate dataloaders.

In my loop I want to go through both datalo

Answer 1

I see you are struggling to make a right dataloder function. I would do:

class Siamese(Dataset):


    def __init__(self, transform=None):
    
       #init data here
    
    def __len__(self):
        return   #length of the data

    def __getitem__(self, idx):
        #get images and labels here 
        #returned images must be tensor
        #labels should be int 
        return img1, img2 , label1, label2