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authorNathan Cassereau <84033440+ncassereau-idris@users.noreply.github.com>2022-06-01 08:52:47 +0200
committerGitHub <noreply@github.com>2022-06-01 08:52:47 +0200
commit1f307594244dd4c274b64d028823cbcfff302f37 (patch)
treef3302cde2a26a8b5c3869d722269e91c23a3ae5b /RELEASES.md
parent951209ac3f01c86b35d3beff4679ce47e47c0872 (diff)
[MRG] numItermax in 64 bits in EMD solver (#380)
* Correct test_mm_convergence for cupy * Fix bug where number of iterations is limited to 2^31 * Update RELEASES.md * Replace size_t with long long * Use uint64_t instead of long long
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- Fixed an issue where we could not ask TorchBackend to place a random tensor on GPU
(Issue #371, PR #373)
-- Fixed an issue where hitting iteration limits would be reported to stderr by std::cerr regardless of Python's stderr stream status.
+- Fixed an issue where Sinkhorn solver assumed a symmetric cost matrix (Issue #374, PR #375)
+- Fixed an issue where hitting iteration limits would be reported to stderr by std::cerr regardless of Python's stderr stream status (PR #377)
+- Fixed an issue where the metric argument in ot.dist did not allow a callable parameter (Issue #378, PR #379)
+- Fixed an issue where the max number of iterations in ot.emd was not allow to go beyond 2^31 (PR #380)
## 0.8.2