Software Open Access

e3nn/e3nn: 2022-04-13

Mario Geiger; Tess Smidt; Alby M.; Benjamin Kurt Miller; Wouter Boomsma; Bradley Dice; Kostiantyn Lapchevskyi; Maurice Weiler; Michał Tyszkiewicz; Simon Batzner; Dylan Madisetti; Martin Uhrin; Jes Frellsen; Nuri Jung; Sophia Sanborn; Mingjian Wen; Josh Rackers; Marcel Rød; Michael Bailey

[0.5.0] - 2022-04-13 Added
  • Sparse Voxel Convolution
  • Clebsch-Gordan coefficients are computed via a change of basis from the complex to real basis.
  • o3, nn and io are accessible through e3nn. For instance e3nn.o3.rand_axis_angle.
Changed
  • Since now the code is no more tested against torch==1.8.0, only tested against torch>=1.10.0
Fixed
  • wigner_3j now always returns a contiguous copy regardless of dtype or device
Files (488.9 kB)
Name Size
e3nn/e3nn-0.5.0.zip
md5:8855c629c401354a72376087bbb2c71a
488.9 kB Download
1,825
145
views
downloads
All versions This version
Views 1,825326
Downloads 1452
Data volume 184.1 MB977.8 kB
Unique views 1,597299
Unique downloads 792

Share

Cite as