I am writing a python code in Kaggle notebook for Image Classification. In the training part, I am getting an error AttributeError Traceback (most recent call last) <ipython-input-22-052723d8ce9d> in <module> 5 test_loss = 0.0 6 for images,label in enumerate(train_loader): ----> 7 images,label = images.to(cuda),label.to(cuda) 8 optimizer.zero_grad() 9 AttributeError: 'int' object has no attribute 'to' This is the following code, (I am giving only 2 parts, pls tell if you need more) train_loader = torch.utils.data.DataLoader(train_data,batch_size = 128,num_workers =0,shuffle =True) test_loader = torch.utils.data.DataLoader(test_data,batch_size = 64,num_workers =0,shuffle =False) epoch = 10 for e in range(epoch): train_loss = 0.0 test_loss = 0.0 for images,label in enumerate(train_loader): images,label = images.to(cuda),label.to(cuda) optimizer.zero_grad() output = model(images) _,predict = torch.max(output.data, 1) loss = criterion(output,labels) loss.backward() optimizer.step() train_loss += loss.item() train_size += label.size(0) train_success += (predict==label).sum().item() print("train_accuracy is {.2f}".format(100*(train_success/train_size)) ) Continue reading...