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ift
NIFTy
Commits
34eb25b9
Commit
34eb25b9
authored
Jan 26, 2018
by
Philipp Arras
Browse files
Add Energy tests. Power energy broken
parent
8185ce75
Pipeline
#24100
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in 3 minutes and 59 seconds
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test/test_energies/test_nonlinearWiener.py
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34eb25b9
# 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
)
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