Commit 34eb25b9 authored by Philipp Arras's avatar Philipp Arras
Browse files

Add Energy tests. Power energy broken

parent 8185ce75
Pipeline #24100 failed with stage
in 3 minutes and 59 seconds
# 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) 2013-2017 Max-Planck-Society
#
# NIFTy is being developed at the Max-Planck-Institut fuer Astrophysik
# and financially supported by the Studienstiftung des deutschen Volkes.
import unittest
import nifty4 as ift
import numpy as np
from itertools import product
from test.common import expand
from numpy.testing import assert_allclose
_harmonic_spaces = [ift.RGSpace(7, distances=0.2, harmonic=True),
ift.RGSpace((12, 46), distances=(0.2, 0.3), harmonic=True),
ift.LMSpace(17)]
_position_spaces = [ift.RGSpace(19, distances=0.7),
ift.RGSpace((1, 2, 3, 6), distances=(0.2, 0.25, 0.34, .8)),
ift.HPSpace(17),
ift.GLSpace(8, 13)]
class Energy_Tests(unittest.TestCase):
@expand(product([ift.RGSpace(64, distances=.789),
ift.RGSpace([32, 32], distances=.789)],
[ift.library.Exponential, ift.library.Linear]))
def testNonlinearMap(self, space, nonlinearity):
f = nonlinearity()
dim = len(space.shape)
fft = ift.FFTOperator(space)
hspace = fft.target[0]
binbounds = ift.PowerSpace.useful_binbounds(hspace, logarithmic=False)
pspace = ift.PowerSpace(hspace, binbounds=binbounds)
P = ift.PowerProjectionOperator(domain=hspace, power_space=pspace)
xi0 = ift.Field.from_random(domain=hspace, random_type='normal')
def pspec(k): return 1 / (1 + k**2)**dim
pspec = ift.PS_field(pspace, pspec)
A = P.adjoint_times(ift.sqrt(pspec))
n = ift.Field.from_random(domain=space, random_type='normal')
s = fft.inverse_times(xi0 * A)
diag = ift.Field.ones(space) * 10
R = ift.DiagonalOperator(diag)
diag = ift.Field.ones(space)
N = ift.DiagonalOperator(diag)
d = R(f(s)) + n
direction = ift.Field.from_random('normal', hspace)
direction /= np.sqrt(direction.var())
eps = 1e-10
xi1 = xi0 + eps * direction
S = ift.create_power_operator(hspace, power_spectrum=lambda k: 1.)
energy0 = ift.library.NonlinearWienerFilterEnergy(
position=xi0, d=d, Instrument=R, nonlinearity=f, FFT=fft, power=A, N=N, S=S)
energy1 = ift.library.NonlinearWienerFilterEnergy(
position=xi1, d=d, Instrument=R, nonlinearity=f, FFT=fft, power=A, N=N, S=S)
a = (energy1.value - energy0.value) / eps
b = energy0.gradient.vdot(direction)
tol = 1e-2
assert_allclose(a, b, rtol=tol, atol=tol)
@expand(product([ift.RGSpace(64, distances=.789),
ift.RGSpace([32, 32], distances=.789)],
[ift.library.Exponential, ift.library.Linear]))
def testNonlinearPower(self, space, nonlinearity):
f = nonlinearity()
dim = len(space.shape)
fft = ift.FFTOperator(space)
hspace = fft.target[0]
binbounds = ift.PowerSpace.useful_binbounds(hspace, logarithmic=False)
pspace = ift.PowerSpace(hspace, binbounds=binbounds)
P = ift.PowerProjectionOperator(domain=hspace, power_space=pspace)
xi = ift.Field.from_random(domain=hspace, random_type='normal')
def pspec(k): return 1 / (1 + k**2)**dim
tau0 = ift.PS_field(pspace, pspec)
A = P.adjoint_times(ift.sqrt(tau0))
n = ift.Field.from_random(domain=space, random_type='normal')
s = fft.inverse_times(xi * A)
diag = ift.Field.ones(space) * 10
R = ift.DiagonalOperator(diag)
diag = ift.Field.ones(space)
N = ift.DiagonalOperator(diag)
d = R(f(s)) + n
direction = ift.Field.from_random('normal', pspace)
direction /= np.sqrt(direction.var())
eps = 1e-10
tau1 = tau0 + eps * direction
IC = ift.GradientNormController(name='IC', verbose=False, iteration_limit=100, tol_abs_gradnorm=1e-5)
inverter = ift.ConjugateGradient(IC)
S = ift.create_power_operator(hspace, power_spectrum=lambda k: 1.)
D = ift.library.NonlinearWienerFilterEnergy(position=xi, d=d, Instrument=R, nonlinearity=f, FFT=fft, power=A, N=N, S=S, inverter=inverter).curvature
energy0 = ift.library.NonlinearPowerEnergy(
position=tau0, d=d, m=xi, D=D, Instrument=R, Projection=P, nonlinearity=f, FFT=fft, N=N, inverter=inverter)
energy1 = ift.library.NonlinearPowerEnergy(
position=tau1, d=d, m=xi, D=D, Instrument=R, Projection=P, nonlinearity=f, FFT=fft, N=N, inverter=inverter)
a = (energy1.value - energy0.value) / eps
b = energy0.gradient.vdot(direction)
tol = 1e-2
assert_allclose(a, b, rtol=tol, atol=tol)
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment