def expected_log_prob_h(self, stats):

        mean_h = stats.d['mean_h']

        term1 = T.dot(self.bias_hid, mean_h)
        term2 = - T.nnet.softplus(self.bias_hid).sum()

        rval = term1 + term2

        assert len(rval.type.broadcastable) == 0

        return rval
The function flags.
dataset/ETHPy150Open lisa-lab/pylearn2/pylearn2/models/s3c.py/S3C.expected_log_prob_h--crossover with--dataset/ETHPy150Open tmr232/Sark/sark/code/function.py/Function.flags