# Codeblock 6
def bbox_loss_test():
    target = torch.zeros(BATCH_SIZE, S, S, (C+5))        #(1)
    prediction = torch.zeros(BATCH_SIZE, S, S, (C+B*5))  #(2)
    
    target[0, 3, 3, 21:25] = torch.tensor([0.4, 0.5, 2.4, 3.2])    #(3)
    target[0, 3, 3, 20] = 1.0    #(4)
    target[0, 3, 3, 7] = 1.0     #(5)
    
    prediction[0, 3, 3, 21:25] = torch.tensor([0.4, 0.5, 2.4, 3.2])       #(6)
    #prediction[0, 3, 3, 21:25] = torch.tensor([0.4, 0.5, 2.8, 4.0])      #(7)
    #prediction[0, 3, 3, 21:25] = torch.tensor([0.3, 0.2, 3.2, 4.3])      #(8)
    
    target = target.reshape(BATCH_SIZE, S*S*(C+5))            #(9)
    prediction = prediction.reshape(BATCH_SIZE, S*S*(C+B*5))  #(10)

    bbox_loss = loss(target, prediction)[0]    #(11)
    
    return bbox_loss

bbox_loss_test()