def grad(self, inputs, gout):
        (gz,) = gout
        is_continuous = [(i.dtype is continuous_dtypes)
                         for i in inputs]
        derivative = {True: gz, False: None}
        return [derivative[b] for b in is_continuous]
dataset/ETHPy150Open rizar/attention-lvcsr/libs/Theano/theano/sparse/basic.py/AddSSData.grad/operator `in` -> `is`