# Codeblock 7
def object_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, 20] = 1.0    #(7)
    #prediction[0, 3, 3, 20] = 0.9   #(8)
    #prediction[0, 3, 3, 20] = 0.6   #(9)
    
    target = target.reshape(BATCH_SIZE, S*S*(C+5))
    prediction = prediction.reshape(BATCH_SIZE, S*S*(C+B*5))

    object_loss = loss(target, prediction)[1]
    
    return object_loss

object_loss_test()