# Codeblock 9
def no_object_loss_test():
    target = torch.zeros(BATCH_SIZE, S, S, (C+5))
    prediction = torch.zeros(BATCH_SIZE, S, S, (C+B*5))
    
    target[0, 1, 1, 20] = 0.0        #(1)

    prediction[0, 1, 1, 20] = 0.0    #(2)
    prediction[0, 1, 1, 25] = 0.0    #(3)

    #prediction[0, 1, 1, 20] = 0.2   #(4)
    #prediction[0, 1, 1, 25] = 0.3   #(5)
    
    target = target.reshape(BATCH_SIZE, S*S*(C+5))
    prediction = prediction.reshape(BATCH_SIZE, S*S*(C+B*5))

    no_object_loss = loss(target, prediction)[2]
    
    return no_object_loss

no_object_loss_test()