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ift
NIFTy
Commits
e42a55b7
Commit
e42a55b7
authored
Feb 15, 2017
by
Theo Steininger
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Leveraging the power of DiagonalOperator for Field.dot
parent
30accef1
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1
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nifty/field.py
nifty/field.py
+23
-23
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nifty/field.py
View file @
e42a55b7
...
...
@@ -556,10 +556,9 @@ class Field(Loggable, Versionable, object):
new_val
=
self
.
get_val
(
copy
=
False
)
spaces
=
utilities
.
cast_axis_to_tuple
(
spaces
,
len
(
self
.
domain
))
if
spaces
is
None
:
spaces
=
range
(
len
(
self
.
domain
))
else
:
spaces
=
utilities
.
cast_axis_to_tuple
(
spaces
,
len
(
self
.
domain
))
for
ind
,
sp
in
enumerate
(
self
.
domain
):
if
ind
in
spaces
:
...
...
@@ -571,32 +570,33 @@ class Field(Loggable, Versionable, object):
new_field
.
set_val
(
new_val
=
new_val
,
copy
=
False
)
return
new_field
def
dot
(
self
,
x
=
None
,
bare
=
False
):
if
isinstance
(
x
,
Field
):
try
:
assert
len
(
x
.
domain
)
==
len
(
self
.
domain
)
for
index
in
xrange
(
len
(
self
.
domain
)):
assert
x
.
domain
[
index
]
==
self
.
domain
[
index
]
except
AssertionError
:
raise
ValueError
(
"domains are incompatible."
)
# extract the data from x and try to dot with this
x
=
x
.
get_val
(
copy
=
False
)
def
dot
(
self
,
x
=
None
,
spaces
=
None
,
bare
=
False
):
if
not
isinstance
(
x
,
Field
):
raise
ValueError
(
"The dot-partner must be an instance of "
+
"the NIFTy field class"
)
# Compute the dot respecting the fact of discrete/continous spaces
if
bare
:
y
=
self
y
=
self
.
weight
(
spaces
=
spaces
,
power
=-
1
)
else
:
y
=
self
.
weight
(
power
=
1
)
y
=
y
.
get_val
(
copy
=
False
)
# Cast the input in order to cure dtype and shape differences
x
=
self
.
cast
(
x
)
dotted
=
x
.
conjugate
()
*
y
y
=
self
return
dotted
.
sum
()
if
spaces
is
None
:
x_val
=
x
.
get_val
(
copy
=
False
)
y_val
=
y
.
get_val
(
copy
=
False
)
result
=
(
x_val
.
conjugate
()
*
y_val
).
sum
()
return
result
else
:
# create a diagonal operator which is capable of taking care of the
# axes-matching
from
nifty.operators.diagonal_operator
import
DiagonalOperator
diagonal
=
y
.
val
.
conjugate
()
diagonalOperator
=
DiagonalOperator
(
domain
=
y
.
domain
,
diagonal
=
diagonal
,
copy
=
False
)
dotted
=
diagonalOperator
(
x
,
spaces
=
spaces
)
return
dotted
.
sum
(
spaces
=
spaces
)
def
norm
(
self
,
q
=
2
):
"""
...
...
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