There is a maintenance of MPCDF Gitlab on Thursday, April 22st 2020, 9:00 am CEST - Expect some service interruptions during this time

bernoulli_energy.py 1.9 KB
Newer Older
Jakob Knollmueller's avatar
Jakob Knollmueller committed
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
# Copyright(C) 2013-2018 Max-Planck-Society
#
# NIFTy is being developed at the Max-Planck-Institut fuer Astrophysik
# and financially supported by the Studienstiftung des deutschen Volkes.

19
from __future__ import absolute_import, division, print_function
Philipp Arras's avatar
Philipp Arras committed
20

Jakob Knollmueller's avatar
Jakob Knollmueller committed
21
from numpy import inf, isnan
Philipp Arras's avatar
Philipp Arras committed
22 23

from ..compat import *
Jakob Knollmueller's avatar
Jakob Knollmueller committed
24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40
from ..minimization.energy import Energy
from ..operators.sandwich_operator import SandwichOperator
from ..sugar import log, makeOp


class BernoulliEnergy(Energy):
    def __init__(self, p, d):
        """
        p: Model object


        """
        super(BernoulliEnergy, self).__init__(p.position)
        self._p = p
        self._d = d

        p_val = self._p.value
Martin Reinecke's avatar
Martin Reinecke committed
41
        self._value = -self._d.vdot(log(p_val)) - (1.-d).vdot(log(1.-p_val))
Jakob Knollmueller's avatar
Jakob Knollmueller committed
42 43
        if isnan(self._value):
            self._value = inf
Martin Reinecke's avatar
Martin Reinecke committed
44
        metric = makeOp(1. / (p_val * (1.-p_val)))
Martin Reinecke's avatar
Martin Reinecke committed
45
        self._gradient = self._p.jacobian.adjoint_times(metric(p_val-d))
Jakob Knollmueller's avatar
Jakob Knollmueller committed
46

Martin Reinecke's avatar
Martin Reinecke committed
47
        self._metric = SandwichOperator.make(self._p.jacobian, metric)
Jakob Knollmueller's avatar
Jakob Knollmueller committed
48 49 50 51 52 53 54 55 56 57 58 59 60

    def at(self, position):
        return self.__class__(self._p.at(position), self._d)

    @property
    def value(self):
        return self._value

    @property
    def gradient(self):
        return self._gradient

    @property
Martin Reinecke's avatar
Martin Reinecke committed
61 62
    def metric(self):
        return self._metric