def loss(self, pred, target):
        pred = ca.maximum(pred, _FLT_MIN)
        return -ca.sum(target*ca.log(pred) + (1 - target)*ca.log(pred - 1),
                       axis=1)
dataset/ETHPy150Open andersbll/deeppy/deeppy/loss.py/BinaryCrossEntropy.loss/swapped operands of `-`