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Published April 13, 2022 | Version 0.5.0
Software Open

e3nn/e3nn: 2022-04-13

Authors/Creators

  • 1. @atomicarchitects
  • 2. @mir-group @ Harvard University
  • 3. University of Amsterdam
  • 4. @NVIDIA
  • 5. Harvard
  • 6. Technical University of Denmark (DTU)
  • 7. @seoklab
  • 8. Redwood Center for Theoretical Neuroscience
  • 9. University of California, Berkeley

Description

[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

e3nn/e3nn-0.5.0.zip

Files (488.9 kB)

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Additional details

Related works

Is supplement to
https://github.com/e3nn/e3nn/tree/0.5.0 (URL)