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ift
NIFTy
Commits
2c024f35
Commit
2c024f35
authored
Nov 13, 2019
by
Philipp Haim
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Fixes
parent
f5118b0b
Pipeline
#63553
passed with stages
in 21 minutes and 14 seconds
Changes
1
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1
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Showing
1 changed file
with
26 additions
and
17 deletions
+26
-17
nifty5/library/correlated_fields.py
nifty5/library/correlated_fields.py
+26
-17
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nifty5/library/correlated_fields.py
View file @
2c024f35
...
...
@@ -66,7 +66,7 @@ def _normal(mean, sig, key,
mean
,
sig
=
(
_reshaper
(
param
,
domain
.
shape
)
for
param
in
(
mean
,
sig
))
assert
np
.
all
(
sig
>
0
)
return
Adder
(
from_global_data
(
domain
,
mean
))
@
(
sig
*
ducktape
(
domain
,
None
,
key
))
DiagonalOperator
(
from_global_data
(
domain
,
sig
))
@
ducktape
(
domain
,
None
,
key
))
class
_SlopeRemover
(
EndomorphicOperator
):
...
...
@@ -82,7 +82,10 @@ class _SlopeRemover(EndomorphicOperator):
self
.
_check_input
(
x
,
mode
)
x
=
x
.
to_global_data
()
if
mode
==
self
.
TIMES
:
res
=
x
-
x
[
self
.
_last
]
*
self
.
_sc
print
(
self
.
_sc
.
shape
)
print
(
x
.
shape
)
print
(
x
[
self
.
_last
].
shape
)
res
=
x
-
np
.
tensordot
(
x
[
self
.
_last
],
self
.
_sc
,
axes
=
0
)
else
:
#NOTE Why not x.copy()?
res
=
np
.
zeros
(
x
.
shape
,
dtype
=
x
.
dtype
)
...
...
@@ -95,12 +98,13 @@ def _make_slope_Operator(smooth,loglogavgslope, space = 0):
logkl
=
_log_k_lengths
(
tg
[
space
])
logkl
-=
logkl
[
0
]
logkl
=
np
.
insert
(
logkl
,
0
,
0
)
noslope
=
smooth
noslope
=
_SlopeRemover
(
tg
,
logkl
,
space
)
@
smooth
# FIXME Move to tests
consistency_check
(
_SlopeRemover
(
tg
,
logkl
))
expander
=
ContractionOperator
(
tg
,
spaces
=
space
).
adjoint
_t
=
DiagonalOperator
(
from_global_data
(
tg
,
logkl
),
tg
,
spaces
=
space
)
_t
=
DiagonalOperator
(
from_global_data
(
tg
[
space
]
,
logkl
),
tg
,
spaces
=
space
)
return
_t
@
expander
@
loglogavgslope
+
noslope
def
_log_k_lengths
(
pspace
):
...
...
@@ -124,6 +128,7 @@ class _TwoLogIntegrations(LinearOperator):
#Maybe make class properties
axis
=
self
.
_target
.
axes
[
self
.
_space
][
0
]
sl
=
(
slice
(
None
),)
*
axis
extender_sl
=
(
None
,)
*
axis
+
(
slice
(
None
),)
+
(
None
,)
*
(
self
.
_target
.
axes
[
-
1
][
-
1
]
-
axis
)
first
=
sl
+
(
0
,)
second
=
sl
+
(
1
,)
from_third
=
sl
+
(
slice
(
2
,
None
),)
...
...
@@ -135,14 +140,14 @@ class _TwoLogIntegrations(LinearOperator):
res
[
first
]
=
0
res
[
second
]
=
0
res
[
from_third
]
=
np
.
cumsum
(
x
[
second
],
axis
=
axis
)
res
[
from_third
]
=
(
res
[
from_third
]
+
res
[
no_border
])
/
2
*
self
.
_logvol
+
x
[
first
]
res
[
from_third
]
=
(
res
[
from_third
]
+
res
[
no_border
])
/
2
*
self
.
_logvol
[
extender_sl
]
+
x
[
first
]
res
[
from_third
]
=
np
.
cumsum
(
res
[
from_third
],
axis
=
axis
)
else
:
x
=
x
.
to_global_data_rw
()
res
=
np
.
zeros
(
self
.
_domain
.
shape
)
x
[
from_third
]
=
np
.
cumsum
(
x
[
from_third
][
reverse
],
axis
=
axis
)[
reverse
]
res
[
first
]
+=
x
[
from_third
]
x
[
from_third
]
*=
self
.
_logvol
/
2.
x
[
from_third
]
*=
(
self
.
_logvol
/
2.
)[
extender_sl
]
x
[
no_border
]
+=
x
[
from_third
]
res
[
second
]
+=
np
.
cumsum
(
x
[
from_third
][
reverse
],
axis
=
axis
)[
reverse
]
return
from_global_data
(
self
.
_tgt
(
mode
),
res
)
...
...
@@ -226,29 +231,31 @@ class CorrelatedFieldMaker:
twolog
=
_TwoLogIntegrations
(
target
,
space
)
dt
=
twolog
.
_logvol
sl
=
(
slice
(
None
),)
*
target
.
axes
[
space
][
0
]
axis
=
target
.
axes
[
space
][
0
]
sl
=
(
slice
(
None
),)
*
axis
extender_sl
=
(
None
,)
*
axis
+
(
slice
(
None
),)
+
(
None
,)
*
(
target
.
axes
[
-
1
][
-
1
]
-
axis
)
first
=
sl
+
(
0
,)
second
=
sl
+
(
1
,)
expander
=
ContractionOperator
(
twolog
.
domain
,
spaces
=
space
).
adjoint
sqrt_t
=
np
.
zeros
(
twolog
.
domain
.
shape
)
sqrt_t
=
np
.
zeros
(
twolog
.
domain
[
space
]
.
shape
)
sqrt_t
[
first
]
=
sqrt_t
[
second
]
=
np
.
sqrt
(
dt
)
sqrt_t
=
from_global_data
(
twolog
.
domain
,
sqrt_t
)
sqrt_t
=
from_global_data
(
twolog
.
domain
[
space
]
,
sqrt_t
)
sqrt_t
=
DiagonalOperator
(
sqrt_t
,
twolog
.
domain
,
spaces
=
space
)
sigmasq
=
sqrt_t
@
expander
@
flexibility
dist
=
np
.
zeros
(
twolog
.
domain
.
shape
)
dist
=
np
.
zeros
(
twolog
.
domain
[
space
]
.
shape
)
dist
[
first
]
+=
1.
dist
=
from_global_data
(
twolog
.
domain
,
dist
)
dist
=
from_global_data
(
twolog
.
domain
[
space
]
,
dist
)
dist
=
DiagonalOperator
(
dist
,
twolog
.
domain
,
spaces
=
space
)
shift
=
np
.
ones
(
twolog
.
domain
.
shape
)
shift
[
first
]
=
dt
**
2
/
12.
shift
[
first
]
=
(
dt
**
2
/
12.
)[
extender_sl
]
shift
=
from_global_data
(
twolog
.
domain
,
shift
)
scale
=
sigmasq
*
(
Adder
(
shift
)
@
dist
@
expander
@
asperity
).
sqrt
()
smooth
=
twolog
@
(
scale
*
ducktape
(
scale
.
target
,
None
,
key
))
smoothslope
=
_make_slope_Operator
(
smooth
,
loglogavgslope
)
smoothslope
=
_make_slope_Operator
(
smooth
,
loglogavgslope
,
space
)
# move to tests
assert_allclose
(
...
...
@@ -260,11 +267,13 @@ class CorrelatedFieldMaker:
from_random
(
'normal'
,
smoothslope
.
domain
))
# end move to tests
normal_ampl
=
_Normalization
(
target
)
@
smoothslope
normal_ampl
=
_Normalization
(
target
,
space
)
@
smoothslope
vol
=
target
[
0
].
harmonic_partner
.
get_default_codomain
().
total_volume
arr
=
np
.
zeros
(
target
.
shape
)
arr
=
np
.
zeros
(
target
[
space
]
.
shape
)
arr
[
1
:]
=
vol
expander
=
VdotOperator
(
from_global_data
(
target
,
arr
)).
adjoint
expander
=
ContractionOperator
(
target
,
spaces
=
space
).
adjoint
expander
=
DiagonalOperator
(
from_global_data
(
target
[
space
],
arr
)
,
target
,
spaces
=
space
)
@
expander
mask
=
np
.
zeros
(
target
.
shape
)
mask
[
0
]
=
vol
adder
=
Adder
(
from_global_data
(
target
,
mask
))
...
...
@@ -275,7 +284,7 @@ class CorrelatedFieldMaker:
# assert_allclose(
# normal_ampl(from_random('normal', normal_ampl.domain)).val[0], 1)
assert_allclose
(
ampl
(
from_random
(
'normal'
,
ampl
.
domain
)).
val
[
0
],
vol
)
op
=
_Normalization
(
target
)
op
=
_Normalization
(
target
,
space
)
check_jacobian_consistency
(
op
,
from_random
(
'normal'
,
op
.
domain
))
# End move to tests
...
...
@@ -304,7 +313,7 @@ class CorrelatedFieldMaker:
avgsl
=
_normal
(
loglogavgslope_mean
,
loglogavgslope_stddev
,
prefix
+
'loglogavgslope'
,
parameter_domain
,
space
=
space
)
self
.
add_fluctuations_from_ops
(
target
,
fluct
,
flex
,
asp
,
avgsl
,
return
self
.
add_fluctuations_from_ops
(
target
,
fluct
,
flex
,
asp
,
avgsl
,
prefix
+
'spectrum'
,
space
)
def
finalize_from_op
(
self
,
zeromode
):
...
...
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