I am writing this Image Classifier and I have defined the loaders but getting this mistake and I have no clue about it.

I have defined the train loader, for a better explanation I tried this

for ina,lab in train_loader:
    print(type(ina))
    print(type(lab))

and I got

<class 'torch.Tensor'>
<class 'tuple'>

Now, For training of the model, I did

def train_model(model,optimizer,n_epochs,criterion):
    start_time = time.time()
    for epoch in range(1,n_epochs-1):
        epoch_time = time.time()
        epoch_loss = 0
        correct = 0
        total = 0
        print( "Epoch {}/{}".format(epoch,n_epochs))
        
        model.train()
        
        for inputs,labels in train_loader:
            inputs = inputs.to(device)
            labels  = labels.to(device)
            optimizer.zero_grad()
            output = model(inputs)
            loss = criterion(output,labels)
            loss.backward()
            optimizer.step()
            epoch_loss +=loss.item()
            _,pred =torch.max(output,1)
            correct += (pred.cpu()==label.cpu()).sum().item()
            total +=labels.shape[0]
            
        acc = correct/total

and I got the error:

Epoch 1/15
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-36-fea243b3636a> in <module>
----> 1 train_model(model=arch, optimizer=optim, n_epochs=15, criterion=criterion)

<ipython-input-34-b53149a4bac0> in train_model(model, optimizer, n_epochs, criterion)
     12         for inputs,labels in train_loader:
     13             inputs = inputs.to(device)
---> 14             labels  = labels.to(device)
     15             optimizer.zero_grad()
     16             output = model(inputs)

AttributeError: 'tuple' object has no attribute 'to'

If you want anything more, please tell me! Thanks

Edit: The label looks like this. This was an Image Classification between Bee and Wasp. It also contains insects and non insects

('wasp', 'wasp', 'insect', 'insect', 'wasp', 'insect', 'insect', 'wasp', 'wasp', 'bee', 'insect', 'insect', 'other', 'bee', 'other', 'wasp', 'other', 'wasp', 'bee', 'bee', 'wasp', 'wasp', 'wasp', 'wasp', 'bee', 'wasp', 'wasp', 'other', 'bee', 'wasp', 'bee', 'bee') ('wasp', 'wasp', 'insect', 'bee', 'other', 'wasp', 'insect', 'wasp', 'insect', 'insect', 'insect', 'wasp', 'wasp', 'insect', 'wasp', 'wasp', 'wasp', 'bee', 'wasp', 'wasp', 'insect', 'insect', 'wasp', 'wasp', 'bee', 'wasp', 'insect', 'bee', 'bee', 'insect', 'insect', 'other')