def fprop_step(self, state_below, state_before, U):

        g_on = tensor.inc_subtensor(
            state_below[:, self.dim:],
            tensor.dot(state_before, U[:, self.dim:])
        )
        r_on = tensor.nnet.sigmoid(g_on[:, self.dim:2*self.dim])
        u_on = tensor.nnet.sigmoid(g_on[:, 2*self.dim:])

        z_t = tensor.tanh(
            g_on[:, :self.dim] +
            tensor.dot(r_on * state_before, U[:, :self.dim])
        )
        z_t = u_on * state_before + (1. - u_on) * z_t

        return z_t
Adds the given job to this store.
dataset/ETHPy150Open lisa-lab/pylearn2/pylearn2/sandbox/rnn/models/rnn.py/GRU.fprop_step--crossover with--dataset/ETHPy150Open agronholm/apscheduler/apscheduler/jobstores/base.py/BaseJobStore.add_job