diff options
| author | Cédric Vincent-Cuaz <cedvincentcuaz@gmail.com> | 2023-03-16 08:05:54 +0100 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2023-03-16 08:05:54 +0100 |
| commit | 583501652517c4f1dbd8572e9f942551a9e54a1f (patch) | |
| tree | fadb96f888924b2d1bef01b78486e97a88ebcd42 /RELEASES.md | |
| parent | 8f56effe7320991ebdc6457a2cf1d3b6648a09d1 (diff) | |
[MRG] fix bugs of gw_entropic and armijo to run on gpu (#446)
* maj gw/ srgw/ generic cg solver
* correct pep8 on current state
* fix bug previous tests
* fix pep8
* fix bug srGW constC in loss and gradient
* fix doc html
* fix doc html
* start updating test_optim.py
* update tests gromov and optim - plus fix gromov dependencies
* add symmetry feature to entropic gw
* add symmetry feature to entropic gw
* add exemple for sr(F)GW matchings
* small stuff
* remove (reg,M) from line-search/ complete srgw tests with backend
* remove backend repetitions / rename fG to costG/ fix innerlog to True
* fix pep8
* take comments into account / new nx parameters still to test
* factor (f)gw2 + test new backend parameters in ot.gromov + harmonize stopping criterions
* split gromov.py in ot/gromov/ + update test_gromov with helper_backend functions
* manual documentaion gromov
* remove circular autosummary
* trying stuff
* debug documentation
* alphabetic ordering of module
* merge into branch
* add note in entropic gw solvers
* fix exemples/gromov doc
* add fixed issue to releases.md
* fix bugs of gw_entropic and armijo to run on gpu
* add pr to releases.md
* fix pep8
* fix call to backend in line_search_armijo
* correct docstring generic_conditional_gradient
---------
Co-authored-by: Rémi Flamary <remi.flamary@gmail.com>
Diffstat (limited to 'RELEASES.md')
| -rw-r--r-- | RELEASES.md | 3 |
1 files changed, 2 insertions, 1 deletions
diff --git a/RELEASES.md b/RELEASES.md index da4d7bb..b6e12d9 100644 --- a/RELEASES.md +++ b/RELEASES.md @@ -47,6 +47,7 @@ PR #413) that explicitly specified `stopThr=1e-9` (Issue #421, PR #422). - Fixed a bug breaking an example where we would try to make an array of arrays of different shapes (Issue #424, PR #425) - Fixed an issue with the documentation gallery section (PR #444) +- Fixed issues with cuda variables for `line_search_armijo` and `entropic_gromov_wasserstein` (Issue #445, #PR 446) ## 0.8.2 @@ -571,4 +572,4 @@ It provides the following solvers: * Optimal transport for domain adaptation with group lasso regularization * Conditional gradient and Generalized conditional gradient for regularized OT. -Some demonstrations (both in Python and Jupyter Notebook format) are available in the examples folder. +Some demonstrations (both in Python and Jupyter Notebook format) are available in the examples folder.
\ No newline at end of file |