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Published May 3, 2021 | Version 0.2.9
Software Open

e3nn/e3nn: 2021-05-04

Authors/Creators

  • 1. @atomicarchitects
  • 2. MIR group @ Harvard University
  • 3. University of Amsterdam
  • 4. University of Michigan
  • 5. Harvard
  • 6. Technical University of Denmark (DTU)
  • 7. Redwood Center for Theoretical Neuroscience

Description

[0.2.9] - 2021-05-04 Added
  • Normalization testing with assert_normalized
  • Optional logging for equivariance and normalization tests
  • Public e3nn.util.test.format_equivariance_error method for printing equivariance test results
  • Module o3.SphericalHarmonicsAlphaBeta
Changed
  • Generated code (modules like TensorProduct, Linear, Extract) now pickled using TorchScript IR, rather than Python source code.
  • e3nn now only requires PyTorch >= 1.8.0 rather than 1.8.1
  • Changed o3.legendre into a module o3.Legendre
Removed
  • Removed e3nn.util.codegen.eval_code in favor of torch.fx

Files

e3nn/e3nn-0.2.9.zip

Files (724.5 kB)

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Additional details

Related works

Is supplement to
https://github.com/e3nn/e3nn/tree/0.2.9 (URL)