def get_monitoring_channels(self, V, model):
        hid_observations = model.infer(V)

        stats = SufficientStatistics.from_observations(needed_stats = S3C.expected_log_prob_vhs_needed_stats(),
                V = V, **hid_observations)

        H_hat = hid_observations['H_hat']
        S_hat = hid_observations['S_hat']

        obj = model.expected_log_prob_vhs(stats, H_hat, S_hat)

        return { 'expected_log_prob_vhs' : obj }
Creates PID file for process
dataset/ETHPy150Open lisa-lab/pylearn2/pylearn2/models/s3c.py/Grad_M_Step.get_monitoring_channels--crossover with--dataset/ETHPy150Open geopy/geopy/test/daemon.py/createPid