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OpenDAS
torch-harmonics
Commits
4d8755b5
Commit
4d8755b5
authored
Jan 14, 2025
by
Boris Bonev
Committed by
Boris Bonev
Jan 14, 2025
Browse files
updated changelog and bumping up version number
parent
15d0750c
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Changelog.md
Changelog.md
+4
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torch_harmonics/__init__.py
torch_harmonics/__init__.py
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Changelog.md
View file @
4d8755b5
...
@@ -4,17 +4,15 @@
...
@@ -4,17 +4,15 @@
### v0.7.4
### v0.7.4
*
Changing default grid in all SHT routines to
`equiangular`
*
Hotfix to the numpy version requirements
*
Changing default grid in all SHT routines to
`equiangular`
, which makes it consistent with DISCO convolutions
*
Cleaning up the SFNO example and adding new Local Spherical Neural Operator model
*
New filter basis normalization in DISCO convolutions
*
New filter basis normalization in DISCO convolutions
*
Reworked DISCO filter basis datastructure
*
Reworked DISCO filter basis datastructure
*
Support for new filter basis types
*
Support for new filter basis types
*
Add
ing
Zernike polynomial basis on a disk
*
Add
ed
Zernike polynomial basis on a disk
*
Add
ing
Morlet wavelet basis functions on a spherical disk
*
Add
ed
Morlet wavelet basis functions on a spherical disk
*
Cleaning up the SFNO example and adding new Local Spherical Neural Operator model
*
Cleaning up the SFNO example and adding new Local Spherical Neural Operator model
*
Updated resampling module to extend input signal to the poles if needed
*
Updated resampling module to extend input signal to the poles if needed
*
Added slerp interpolation to the resampling module
*
Added distributed resampling module
### v0.7.3
### v0.7.3
...
...
torch_harmonics/__init__.py
View file @
4d8755b5
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@@ -29,7 +29,7 @@
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@@ -29,7 +29,7 @@
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#
#
__version__
=
"0.7.4
a
"
__version__
=
"0.7.4"
from
.sht
import
RealSHT
,
InverseRealSHT
,
RealVectorSHT
,
InverseRealVectorSHT
from
.sht
import
RealSHT
,
InverseRealSHT
,
RealVectorSHT
,
InverseRealVectorSHT
from
.convolution
import
DiscreteContinuousConvS2
,
DiscreteContinuousConvTransposeS2
from
.convolution
import
DiscreteContinuousConvS2
,
DiscreteContinuousConvTransposeS2
...
...
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