tuple unpacking in X_test
i am following a simple tutorial in PyTorch. The tutorial is using the diabetes dataset and built a simple two-layer network. In some part of the tutorial there exist the following part of the code where there exists an iteration on the X_test using enumerate.
predictions=[]
with torch.no_grad(): 
    
    for i, data in enumerate(X_test): 
        y_pred=model(data)
        
        predictions.append(y_pred.argmax().item()) 
       
        print(y_pred.argmax().item())

while I thought that I was understanding enumerate I am a little confused. What the i and data referring to in the above code?
in general, I understandnd that is a typle unpacking procedure

enumerate simply enumerates iterable items.
e.g.
my_list = ['cat', 'dog', 'elephant']
print(list(enumerate(my_list)))
&gt;&gt; [(0, 'cat'), (1, 'dog'), (2, 'elephant')]

In your case i is an index of data variable in some loop state (it is not used tho) and data is a feature tensor of one row in your dataset.
