Not able to understand DataLoader part in solver.py file

[IamGroot19]

The definitions for self.train_loader is defined as follows in the file:

self.train_data = TrainDataset(cfg.train_data_path, scale=cfg.scale, size=cfg.patch_size)

self.train_loader = DataLoader(self.train_data, batch_size=cfg.batch_size, num_workers=1, shuffle=True, drop_last=True)

def fit(self):
        cfg = self.cfg
        refiner = nn.DataParallel(self.refiner, device_ids=range(cfg.num_gpu))
        
        learning_rate = cfg.lr
        while True:
            for inputs in self.train_loader:
                self.refiner.train()

                if cfg.scale > 0:
                    scale = cfg.scale
                    hr, lr = inputs[-1][0], inputs[-1][1]

Suppose I give batch_size = 10 in the DataLoader, then in the fit() function, in each iteration of the for loop, the variable inputs while containing data of 10 image pairs. But then the code seems to be taking only 1 pair out of the entire batch of 10 image pairs. Am I missing something here?