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