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authorNathan Cassereau <84033440+ncassereau-idris@users.noreply.github.com>2022-03-24 10:53:47 +0100
committerGitHub <noreply@github.com>2022-03-24 10:53:47 +0100
commit767171593f2a98a26b9a39bf110a45085e3b982e (patch)
tree4eb4bcc657efc53a65c3fb4439bd0e0e106b6745 /RELEASES.md
parent9b9d2221d257f40ea3eb58b279b30d69162d62bb (diff)
[MRG] Domain adaptation and unbalanced solvers with backend support (#343)
* First draft * Add matrix inverse and square root to backend * Eigen decomposition for older versions of pytorch (1.8.1 and older) * Corrected eigen decomposition for pytorch 1.8.1 and older * Spectral theorem is a thing * Optimization * small optimization * More functions converted * pep8 * remove a warning and prepare torch meshgrid for future torch release (which will change default indexing) * dots and pep8 * Meshgrid corrected for older version and prepared for future versions changes * New backend functions * Base transport * LinearTransport * All transport classes + pep8 * PR added to release file * Jcpot barycenter test * unbalanced with backend * pep8 * bug solve * test of domain adaptation with backends * solve bug for tic toc & macos * solving scipy deprecation warning * solving scipy deprecation warning attempt2 * solving scipy deprecation warning attempt3 * A warning is triggered when a float->int conversion is detected * bug solve * docs * release file updated * Better handling of float->int conversion in EMD * Corrected test for is_floating_point * docs * release file updated * cupy does not allow implicit cast * fromnumpy * added test * test da tf jax * test unbalanced with no provided histogram * using type_as argument in unif function correctly * pep8 * transport plan cast in emd changed behaviour, now trying to cast as histogram's dtype, defaulting to cost matrix Co-authored-by: RĂ©mi Flamary <remi.flamary@gmail.com>
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of the regularization parameter (PR #336).
- Backend implementation for `ot.lp.free_support_barycenter` (PR #340).
- Add weak OT solver + example (PR #341).
+- Add backend support for Domain Adaptation and Unbalanced solvers (PR #343).
- Add (F)GW linear dictionary learning solvers + example (PR #319)
- Add links to related PR and Issues in the doc release page (PR #350)
@@ -19,6 +20,7 @@
- Fix bug in instantiating an `autograd` function `ValFunction` (Issue #337,
PR #338)
- Fix POT ABI compatibility with old and new numpy (Issue #346, PR #349)
+- Warning when feeding integer cost matrix to EMD solver resulting in an integer transport plan (Issue #345, PR #343)
- Fix bug where gromov_wasserstein2 does not perform backpropagation with CUDA
tensors (Issue #351, PR #352)