# 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 .
#
# 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.
from __future__ import absolute_import, division, print_function
from ..compat import *
from ..operators.operator import Operator
from ..operators.sandwich_operator import SandwichOperator
from ..sugar import makeOp
from ..linearization import Linearization
class BernoulliEnergy(Operator):
def __init__(self, p, d):
super(BernoulliEnergy, self).__init__()
self._p = p
self._d = d
@property
def domain(self):
return self._p.domain
@property
def target(self):
return DomainTuple.scalar_domain()
def __call__(self, x):
x = self._p(x)
v = ((-self._d)*x.log()).sum() - ((1.-self._d)*((1.-x).log())).sum()
if not isinstance(x, Linearization):
return v
met = makeOp(1./(x.val*(1.-x.val)))
met = SandwichOperator.make(x.jac, met)
return v.add_metric(met)