Change Log¶
EMLP 1.0.0¶
New Features
Flax support (see
using EMLP with Flax
)Auto generated
size()
,__eq__
,__hash__
, and.T
methods for new representationsYou can now use ints in place of
Scalars
for direct sum, e.g. add3+V
Codebase improvements
Streamlined product_sum_reps direct sum and product rules, now with plumb dispatch
More general
Dual(Rep)
implementation that now works with any kind of Rep, not justV
CI setup and with more tests
EMLP 0.9.0¶
Cross Platform Support:
You can now use EMLP in PyTorch, check out
Using EMLP with PyTorch
You can also use EMLP with Haiku in jax, check out
Using EMLP with Haiku
Bug Fixes
Fixed broken constraints with Trivial group
EMLP 0.8.0 (Unreleased)¶
New features:
Fallback autograd jvp implementation of drho to make implementing new reps easier.
Mixed group representations (now working and tested)
Experimental support of complex groups and representations
Bug Fixes:
Element ordering of mixed groups is now correctly maintained in the solution
Fixed edge case of {func}
lazy_direct_matmat
when concatenating matrices of size 0 affecting {func}emlp.reps.Rep.equivariant_basis
but not {func}emlp.reps.Rep.equivariant_projector
API Changes:
emlp.solver.representation
->emlp.reps
emlp.solver.groups
->emlp.groups
emlp.models.mlp
->emlp.nn
rep.symmetric_basis()
->rep.equivariant_basis()
rep.symmetric_projector()
->rep.equivariant_projector()
Tests and experiments separated from package and api