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ift
NIFTy
Commits
743e98c9
Commit
743e98c9
authored
5 years ago
by
Philipp Arras
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MultiField tests for energies
parent
2c338fb9
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1 merge request
!417
Performance pa
Pipeline
#70463
passed
5 years ago
Stage: build_docker
Stage: test
Stage: demo_runs
Changes
1
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test/test_energy_gradients.py
+38
-28
38 additions, 28 deletions
test/test_energy_gradients.py
with
38 additions
and
28 deletions
test/test_energy_gradients.py
+
38
−
28
View file @
743e98c9
...
@@ -28,26 +28,18 @@ from itertools import product
...
@@ -28,26 +28,18 @@ from itertools import product
SPACES
=
[
ift
.
GLSpace
(
15
),
SPACES
=
[
ift
.
GLSpace
(
15
),
ift
.
RGSpace
(
64
,
distances
=
.
789
),
ift
.
RGSpace
(
64
,
distances
=
.
789
),
ift
.
RGSpace
([
32
,
32
],
distances
=
.
789
)]
ift
.
RGSpace
([
32
,
32
],
distances
=
.
789
)]
for
sp
in
SPACES
[:
3
]:
SPACES
.
append
(
ift
.
MultiDomain
.
make
({
'
asdf
'
:
sp
}))
SEEDS
=
[
4
,
78
,
23
]
SEEDS
=
[
4
,
78
,
23
]
PARAMS
=
product
(
SEEDS
,
SPACES
)
PARAMS
=
product
(
SEEDS
,
SPACES
)
pmp
=
pytest
.
mark
.
parametrize
pmp
=
pytest
.
mark
.
parametrize
# FIXME Test also with multifields in domain
@pytest.fixture
(
params
=
PARAMS
)
@pytest.fixture
(
params
=
PARAMS
)
def
field
(
request
):
def
field
(
request
):
np
.
random
.
seed
(
request
.
param
[
0
])
np
.
random
.
seed
(
request
.
param
[
0
])
S
=
ift
.
ScalingOperator
(
request
.
param
[
1
],
1.
)
S
=
ift
.
ScalingOperator
(
request
.
param
[
1
],
1.
)
s
=
S
.
draw_sample
()
return
S
.
draw_sample
()
return
ift
.
MultiField
.
from_dict
({
'
s1
'
:
s
})[
'
s1
'
]
def
test_variablecovariancegaussian
(
field
):
dc
=
{
'
a
'
:
field
,
'
b
'
:
field
.
exp
()}
mf
=
ift
.
MultiField
.
from_dict
(
dc
)
energy
=
ift
.
VariableCovarianceGaussianEnergy
(
field
.
domain
,
'
a
'
,
'
b
'
)
ift
.
extra
.
check_jacobian_consistency
(
energy
,
mf
,
tol
=
1e-6
)
energy
(
ift
.
Linearization
.
make_var
(
mf
,
want_metric
=
True
)).
metric
.
draw_sample
()
def
test_gaussian
(
field
):
def
test_gaussian
(
field
):
...
@@ -55,26 +47,52 @@ def test_gaussian(field):
...
@@ -55,26 +47,52 @@ def test_gaussian(field):
ift
.
extra
.
check_jacobian_consistency
(
energy
,
field
)
ift
.
extra
.
check_jacobian_consistency
(
energy
,
field
)
@pmp
(
'
icov
'
,
[
lambda
dom
:
ift
.
ScalingOperator
(
dom
,
1.
),
def
test_ScaledEnergy
(
field
):
lambda
dom
:
ift
.
SandwichOperator
.
make
(
ift
.
GeometryRemover
(
dom
))])
icov
=
ift
.
ScalingOperator
(
field
.
domain
,
1.2
)
def
test_ScaledEnergy
(
field
,
icov
):
icov
=
icov
(
field
.
domain
)
energy
=
ift
.
GaussianEnergy
(
inverse_covariance
=
icov
)
energy
=
ift
.
GaussianEnergy
(
inverse_covariance
=
icov
)
ift
.
extra
.
check_jacobian_consistency
(
energy
.
scale
(
0.3
),
field
)
ift
.
extra
.
check_jacobian_consistency
(
energy
.
scale
(
0.3
),
field
)
lin
=
ift
.
Linearization
.
make_var
(
field
,
want_metric
=
True
)
lin
=
ift
.
Linearization
.
make_var
(
field
,
want_metric
=
True
)
met1
=
energy
(
lin
).
metric
met1
=
energy
(
lin
).
metric
met2
=
energy
.
scale
(
0.3
)(
lin
).
metric
met2
=
energy
.
scale
(
0.3
)(
lin
).
metric
np
.
testing
.
assert_allclose
(
met1
(
field
).
val
,
met2
(
field
).
val
/
0.3
,
rtol
=
1e-12
)
res1
=
met1
(
field
)
res2
=
met2
(
field
)
/
0.3
ift
.
extra
.
assert_allclose
(
res1
,
res2
,
0
,
1e-12
)
met2
.
draw_sample
()
met2
.
draw_sample
()
def
test_studentt
(
field
):
def
test_studentt
(
field
):
if
isinstance
(
field
.
domain
,
ift
.
MultiDomain
):
return
energy
=
ift
.
StudentTEnergy
(
domain
=
field
.
domain
,
theta
=
.
5
)
energy
=
ift
.
StudentTEnergy
(
domain
=
field
.
domain
,
theta
=
.
5
)
ift
.
extra
.
check_jacobian_consistency
(
energy
,
field
,
tol
=
1e-6
)
ift
.
extra
.
check_jacobian_consistency
(
energy
,
field
,
tol
=
1e-6
)
def
test_hamiltonian_and_KL
(
field
):
field
=
field
.
exp
()
space
=
field
.
domain
lh
=
ift
.
GaussianEnergy
(
domain
=
space
)
hamiltonian
=
ift
.
StandardHamiltonian
(
lh
)
ift
.
extra
.
check_jacobian_consistency
(
hamiltonian
,
field
)
S
=
ift
.
ScalingOperator
(
space
,
1.
)
samps
=
[
S
.
draw_sample
()
for
i
in
range
(
3
)]
kl
=
ift
.
AveragedEnergy
(
hamiltonian
,
samps
)
ift
.
extra
.
check_jacobian_consistency
(
kl
,
field
)
def
test_variablecovariancegaussian
(
field
):
if
isinstance
(
field
.
domain
,
ift
.
MultiDomain
):
return
dc
=
{
'
a
'
:
field
,
'
b
'
:
field
.
exp
()}
mf
=
ift
.
MultiField
.
from_dict
(
dc
)
energy
=
ift
.
VariableCovarianceGaussianEnergy
(
field
.
domain
,
'
a
'
,
'
b
'
)
ift
.
extra
.
check_jacobian_consistency
(
energy
,
mf
,
tol
=
1e-6
)
energy
(
ift
.
Linearization
.
make_var
(
mf
,
want_metric
=
True
)).
metric
.
draw_sample
()
def
test_inverse_gamma
(
field
):
def
test_inverse_gamma
(
field
):
if
isinstance
(
field
.
domain
,
ift
.
MultiDomain
):
return
field
=
field
.
exp
()
field
=
field
.
exp
()
space
=
field
.
domain
space
=
field
.
domain
d
=
np
.
random
.
normal
(
10
,
size
=
space
.
shape
)
**
2
d
=
np
.
random
.
normal
(
10
,
size
=
space
.
shape
)
**
2
...
@@ -84,6 +102,8 @@ def test_inverse_gamma(field):
...
@@ -84,6 +102,8 @@ def test_inverse_gamma(field):
def
testPoissonian
(
field
):
def
testPoissonian
(
field
):
if
isinstance
(
field
.
domain
,
ift
.
MultiDomain
):
return
field
=
field
.
exp
()
field
=
field
.
exp
()
space
=
field
.
domain
space
=
field
.
domain
d
=
np
.
random
.
poisson
(
120
,
size
=
space
.
shape
)
d
=
np
.
random
.
poisson
(
120
,
size
=
space
.
shape
)
...
@@ -92,19 +112,9 @@ def testPoissonian(field):
...
@@ -92,19 +112,9 @@ def testPoissonian(field):
ift
.
extra
.
check_jacobian_consistency
(
energy
,
field
,
tol
=
1e-7
)
ift
.
extra
.
check_jacobian_consistency
(
energy
,
field
,
tol
=
1e-7
)
def
test_hamiltonian_and_KL
(
field
):
field
=
field
.
exp
()
space
=
field
.
domain
lh
=
ift
.
GaussianEnergy
(
domain
=
space
)
hamiltonian
=
ift
.
StandardHamiltonian
(
lh
)
ift
.
extra
.
check_jacobian_consistency
(
hamiltonian
,
field
)
S
=
ift
.
ScalingOperator
(
space
,
1.
)
samps
=
[
S
.
draw_sample
()
for
i
in
range
(
3
)]
kl
=
ift
.
AveragedEnergy
(
hamiltonian
,
samps
)
ift
.
extra
.
check_jacobian_consistency
(
kl
,
field
)
def
test_bernoulli
(
field
):
def
test_bernoulli
(
field
):
if
isinstance
(
field
.
domain
,
ift
.
MultiDomain
):
return
field
=
field
.
sigmoid
()
field
=
field
.
sigmoid
()
space
=
field
.
domain
space
=
field
.
domain
d
=
np
.
random
.
binomial
(
1
,
0.1
,
size
=
space
.
shape
)
d
=
np
.
random
.
binomial
(
1
,
0.1
,
size
=
space
.
shape
)
...
...
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