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ift
NIFTy
Commits
6ab2c95a
Commit
6ab2c95a
authored
Apr 06, 2018
by
Martin Reinecke
Browse files
adjust demo for MPI
parent
eb401ffd
Pipeline
#26979
passed with stage
in 10 minutes and 34 seconds
Changes
1
Pipelines
1
Hide whitespace changes
Inline
Side-by-side
demos/poisson_demo.py
View file @
6ab2c95a
...
...
@@ -50,7 +50,9 @@ if __name__ == "__main__":
Phi_h
=
ift
.
create_power_operator
(
h_domain
,
power_spectrum
=
pow_spec
)
phi_h
=
Phi_h
.
draw_sample
()
# remove zero mode
phi_h
.
val
[
0
]
=
0
glob
=
phi_h
.
to_global_data
()
glob
[
0
]
=
0.
phi_h
=
ift
.
Field
.
from_global_data
(
phi_h
.
domain
,
glob
)
phi
=
HT
(
phi_h
)
# Setting up an exemplary response
...
...
@@ -60,19 +62,19 @@ if __name__ == "__main__":
mask
=
np
.
ones
(
d_domain
.
shape
)
mask
[
N1a
:
N1b
]
=
0.
mask
[
N2a
:
N2b
]
=
0.
mask
=
ift
.
Field
.
from_global_data
(
d_domain
,
mask
)
Mask
=
ift
.
DiagonalOperator
(
mask
)
f
mask
=
ift
.
Field
.
from_global_data
(
d_domain
,
mask
)
Mask
=
ift
.
DiagonalOperator
(
f
mask
)
R0
=
Mask
*
GeoRem
R
=
R0
*
HT
IC
=
ift
.
GradientNormController
(
name
=
"inverter"
,
iteration_limit
=
500
,
tol_abs_gradnorm
=
1e-3
)
inverter
=
ift
.
ConjugateGradient
(
controller
=
IC
)
x_mod
=
x
*
mask
.
val
+
2
*
(
1
-
mask
.
val
)
x_mod
=
np
.
where
(
mask
>
0
,
x
,
None
)
nonlin
=
Exp3
()
lam
=
R0
(
nonlin
(
HT
(
phi_h
)))
data
=
ift
.
Field
(
d_domain
,
val
=
np
.
random
.
poisson
(
lam
.
val
),
d
type
=
np
.
float64
,
copy
=
True
)
data
=
ift
.
Field
.
from_local_data
(
d_domain
,
np
.
random
.
poisson
(
lam
.
local_data
).
as
type
(
np
.
float64
)
)
psi0
=
ift
.
Field
.
full
(
h_domain
,
1e-7
)
energy
=
ift
.
library
.
PoissonEnergy
(
psi0
,
data
,
R0
,
nonlin
,
HT
,
Phi_h
,
inverter
)
...
...
@@ -92,7 +94,8 @@ if __name__ == "__main__":
plt
.
fill_between
(
x
,
c1
,
c2
,
color
=
'pink'
,
alpha
=
None
)
plt
.
plot
(
x
,
nonlin
(
phi
).
to_global_data
(),
label
=
r
"NL($\varphi$)"
,
color
=
'black'
)
plt
.
scatter
(
x_mod
,
data
.
val
,
label
=
r
'$d$'
,
s
=
1
,
color
=
'blue'
,
alpha
=
0.5
)
plt
.
scatter
(
x_mod
,
data
.
to_global_data
(),
label
=
r
'$d$'
,
s
=
1
,
color
=
'blue'
,
alpha
=
0.5
)
plt
.
plot
(
x
,
nonlin
(
m
).
to_global_data
(),
label
=
r
'NL(m)$'
,
color
=
'red'
)
plt
.
xlim
([
0
,
L
])
plt
.
ylim
([
-
0.1
,
None
])
...
...
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