def get(self):
        y = T.clip(self.result_tensor, EPSILON, EPSILON - 1.0)
        y = y.reshape((-1, y.shape[-1]))
        k = self.index_tensor.reshape((-1,))
        return -T.mean(T.log2(y[T.arange(k.shape[0]), k]))
dataset/ETHPy150Open zomux/deepy/experiments/lm/cost.py/LMCost.get/swapped operands of `-`