Error while evaluating in Pytorch (Computer Vision)

[Semicurl]

Hello. I have a Problem in getting model results. The training part works just fine. But the evaluation part confuses the hell out of me.
Here is the Code I'm talking about:

torch.manual_seed(42)
def eval_model(model: torch.nn.Module, data_loader: torch.utils.data.DataLoader, loss_fn: torch.nn.Module,accuracy_fn):
loss, acc = 0,0
model.eval()
with torch.inference_mode():
for X,y in data_loader:
y_pred = model(X)

        loss+=loss_fn(y_pred,y)
        acc += accuracy_fn(y_true=y,y_pred=y_pred.argmax(dim=1))
    
    loss /= len(data_loader)
    acc /= len(data_loader)
return {"model_name":model.__class__.__name__,
       "model_loss":loss.item(),
        "model_acc":acc
       }

model_0_results = eval_model(model=model_0, data_loader = test_dataloader, loss_fn=loss_fn,accuracy_fn = accuracy_fn)

And here is the Error:

TypeError Traceback (most recent call last)
/tmp/ipykernel_33231/1605480602.py in
----> 1 model_0_results = eval_model(model=model_0, data_loader = test_dataloader, loss_fn=loss_fn,accuracy_fn = accuracy_fn)

/tmp/ipykernel_33231/3664206720.py in eval_model(model, data_loader, loss_fn, accuracy_fn)
4 model.eval()
5 with torch.inference_mode():
----> 6 for X,y in data_loader:
7 y_pred = model(X)
8 ...
...
TypeError: ToTensor.init() takes 1 positional argument but 2 were given

I even copied the code from gitlab to resolve the issue because I was so desparate. Pls help me Daniel :D Or anybody else.