- Replace
torch.triangular_solve()
withtorch.linalg.solve_triangular
(#26).
- Fixes to version v0.15.0, in which the release did not contain the desired fixes.
epsilon
is added after multiplication of Cholesky-factors for better numerical stability (#22)
- fix device bug in analytical MoG sampling (#19).
- refactor MoG to allow evaluation with analytically determined parameters (#17).
- Upgrade dependency on
nflows
to 0.14 for NSF fix (nflows #25).
- Fix GPU bug in MDN.
- Upgrade dependency on
nflows
to 0.13 to allow GPU support.
- Upgraded dependency on
nflows
to 0.12; explicitly allow Python 3.6 (#13) - Support for
batch_x
with only one feature in mixture density networks (thanks to Harry Fu, #12) - Imports from
nflows.transforms.splines
now available (thanks to Miles Cranmer, #11)