Age | Commit message (Collapse) | Author |
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* Numpy ccompiler deprecation handled with setuptools ccompiler
* Remove useless OMP Macro, already provides _OPENMP
* RELEASES.md
* Remove forgotten temporary bug added for logging purposes
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* Two lines added in the function emd2 to ensure that the distributions have the same mass (same as it already was in the function emd).
* The same mass test has been moved inside the function f(b) to be compatible with emd2 with multiple b.
* Test added.
The function test_emd_dimension_and_mass_mismatch (in test/test_ot.py) has been modified to check for mass mismatch with emd2.
* Add PR in releases.md
* Merge and add PR in releases.md
* Add name in contributors.md
* Correction contribution in contributors.md
* Move test on mass outside of functions f(b)
* Update doc of emd and emd2
Co-authored-by: Camille Le Coz <clecoz@camelot.ipsl.polytechnique.fr>
Co-authored-by: Rémi Flamary <remi.flamary@gmail.com>
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* GWB first solver version
* tests + example for gwb (untested) + free_bar doc fix
* improved doc, fixed minor bugs, better example visu
* minor doc + visu fixes
* plot GWB pep8 fix
* fixed partial gromov test reproductibility
* added an animation for the GWB visu
* added PR num
* minor doc fixes + better gwb logo
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* center gradients for mass of emd2 and gw2
* debug fgw gradient
* debug fgw
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* 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: Rémi Flamary <remi.flamary@gmail.com>
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* add info in release file
* update tests
* pep8
* add weak OT example
* update plot in doc
* correction ewample with empirical sinkhorn
* better thumbnail
* comment from review
* update documenation
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* backend version barycenter
* new tests
* cleanup release file and doc
* f*ing pep8
* remove unused variable
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* First batch of tf methods (to be continued)
* Second batch of method (yet to debug)
* tensorflow for cpu
* add tf requirement
* pep8 + bug
* small changes
* attempt to solve pymanopt bug with tf2
* attempt #2
* attempt #3
* attempt 4
* docstring
* correct pep8 violation introduced in merge conflicts resolution
* attempt 5
* attempt 6
* just a random try
* Revert "just a random try"
This reverts commit 8223e768bfe33635549fb66cca2267514a60ebbf.
* GPU tests for tensorflow
* pep8
* attempt to solve issue with m2r2
* Remove transpose backend method
* first draft of benchmarker (need to correct time measurement)
* prettier bench table
* Bitsize and prettier device methods
* prettified table bench
* Bug corrected (results were mixed up in the final table)
* Better perf counter (for GPU support)
* pep8
* EMD bench
* solve bug if no GPU available
* pep8
* warning about tensorflow numpy api being required in the backend.py docstring
* Bug solve in backend docstring
* not covering code which requires a GPU
* Tensorflow gradients manipulation tested
* Number of warmup runs is now customizable
* typo
* Remove some warnings while building docs
* Change prettier_device to device_type in backend
* Correct JAX mistakes preventing to see the CPU if a GPU is present
* Attempt to solve JAX bug in case no GPU is found
* Reworked benchmarks order and results storage & clear GPU after usage by benchmark
* Add bench to backend docstring
* better benchs
* remove useless stuff
* Better device_type
* Now using MYST_PARSER and solving links issue in the README.md / online docs
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* orrect gradient bug in emd2
* small comment in test
* deploy properly on tag release
* subplot fail
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* First draft : making pytest use gpu for torch testing
* bug solve
* Revert "bug solve"
This reverts commit 29b013abd162f8693128f26d8129186b79923609.
* Revert "First draft : making pytest use gpu for torch testing"
This reverts commit 2778175bcc338016c704efa4187d132fe5162e3a.
* sliced
* sliced
* ot 1dsolver
* bregman
* better print
* jax works with sinkhorn, sinkhorn_log and sinkhornn_stabilized, no need to skip them
* gromov & entropic gromov
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wasserstein1d (#304)
* new test gpu
* pep 8 of couse
* debug torch
* jax with gpu
* device put
* device put
* it works
* emd1d and emd2_1d working
* emd_1d and emd2_1d done
* cleanup
* of course
* should work on gpu now
* tests done+ pep8
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* add numpy and torch backends
* stat sets on functions
* proper import
* install recent torch on windows
* install recent torch on windows
* now testing all functions in backedn
* add jax backedn
* clenaup windowds
* proper convert for jax backedn
* pep8
* try again windows tests
* test jax conversion
* try proper widows tests
* emd fuction ses backedn
* better test partial OT
* proper tests to_numpy and teplate Backend
* pep8
* pep8 x2
* feaking sinkhorn works with torch
* sinkhorn2 compatible
* working ot.emd2
* important detach
* it should work
* jax autodiff emd
* pep8
* no tast same for jax
* new independat tests per backedn
* freaking pep8
* add tests for gradients
* deprecate ot.gpu
* worging dist function
* working dist
* dist done in backedn
* not in
* remove indexing
* change accuacy for jax
* first pull backend
* projection simplex
* projection simplex
* projection simplex
* projection simplex no ci
* projection simplex no ci
* projection simplex no ci
* pep8
* add backedn discusion to quickstart guide
* projection simplex no ci
* projection simplex no ci
* projection simplex no ci
* pep8 + better doc
* proper links
* corect doctest
* big debug documentation
* doctest again
* doctest again bis
* doctest again ter (last one or i kill myself)
* backend test + doc proj simplex
* correction test_utils
* correction test_utils
* correction cumsum
* correction flip
* correction flip v2
* more debug
* more debug
* more debug + pep8
* pep8
* argh
* proj_simplex
* backedn works for sort
* proj simplex
* jax sucks
* update doc
* Update test/test_utils.py
Co-authored-by: Alexandre Gramfort <alexandre.gramfort@m4x.org>
* Update docs/source/quickstart.rst
Co-authored-by: Alexandre Gramfort <alexandre.gramfort@m4x.org>
* Update docs/source/quickstart.rst
Co-authored-by: Alexandre Gramfort <alexandre.gramfort@m4x.org>
* Update docs/source/quickstart.rst
Co-authored-by: Alexandre Gramfort <alexandre.gramfort@m4x.org>
* Update docs/source/readme.rst
Co-authored-by: Alexandre Gramfort <alexandre.gramfort@m4x.org>
* Update test/test_utils.py
Co-authored-by: Alexandre Gramfort <alexandre.gramfort@m4x.org>
* Update ot/utils.py
Co-authored-by: Alexandre Gramfort <alexandre.gramfort@m4x.org>
* Update docs/source/readme.rst
Co-authored-by: Alexandre Gramfort <alexandre.gramfort@m4x.org>
* Update ot/lp/__init__.py
Co-authored-by: Alexandre Gramfort <alexandre.gramfort@m4x.org>
* begin comment alex
* comment alex part 2
* optimize test gromov
* proj_simplex on vectors
* add awesome gradient decsnt example on the weights
* pep98 of course
* proof read example by alex
* pep8 again
* encoding oos in translation
* correct legend
* new backend functions for sliced
* small indent pb
* Optimized backendversion of sliced W
* error in sliced W
* after master merge
* error sliced
* error sliced
* pep8
* test_sliced pep8
* doctest + precision for sliced
* doctest
* type win test_backend gather
* type win test_backend gather
* Update sliced.py
change argument of padding pad_width
* Update backend.py
update redefinition
* Update backend.py
pep8
* Update backend.py
pep 8 again....
* pep8
* build docs
* emd2_1D example
* refectoring emd_1d and variants
* remove unused previous wasserstein_1d
* pep8
* upate example
* move stuff
* tesys should work + implemù random backend
* test random generayor functions
* correction
* better random generation
* update sliced
* update sliced
* proper tests sliced
* max sliced
* chae file nam
* add stuff
* example sliced flow and barycenter
* correct typo + update readme
* exemple sliced flow done
* pep8
* solver1d works
* pep8
Co-authored-by: Rémi Flamary <remi.flamary@gmail.com>
Co-authored-by: Alexandre Gramfort <alexandre.gramfort@m4x.org>
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* Backend for optim
* Bug solve
* Doc update
* backend tests now with fixture
* Unused imports removed
* Docs
* Docs
* Docs
* Outer product backend docs
* Prettier docs
* Pep8
* Mistakes corrected
Co-authored-by: Rémi Flamary <remi.flamary@gmail.com>
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* add numpy and torch backends
* stat sets on functions
* proper import
* install recent torch on windows
* install recent torch on windows
* now testing all functions in backedn
* add jax backedn
* clenaup windowds
* proper convert for jax backedn
* pep8
* try again windows tests
* test jax conversion
* try proper widows tests
* emd fuction ses backedn
* better test partial OT
* proper tests to_numpy and teplate Backend
* pep8
* pep8 x2
* feaking sinkhorn works with torch
* sinkhorn2 compatible
* working ot.emd2
* important detach
* it should work
* jax autodiff emd
* pep8
* no tast same for jax
* new independat tests per backedn
* freaking pep8
* add tests for gradients
* deprecate ot.gpu
* worging dist function
* working dist
* dist done in backedn
* not in
* remove indexing
* change accuacy for jax
* first pull backend
* projection simplex
* projection simplex
* projection simplex
* projection simplex no ci
* projection simplex no ci
* projection simplex no ci
* pep8
* add backedn discusion to quickstart guide
* projection simplex no ci
* projection simplex no ci
* projection simplex no ci
* pep8 + better doc
* proper links
* corect doctest
* big debug documentation
* doctest again
* doctest again bis
* doctest again ter (last one or i kill myself)
* backend test + doc proj simplex
* correction test_utils
* correction test_utils
* correction cumsum
* correction flip
* correction flip v2
* more debug
* more debug
* more debug + pep8
* pep8
* argh
* proj_simplex
* backedn works for sort
* proj simplex
* jax sucks
* update doc
* Update test/test_utils.py
Co-authored-by: Alexandre Gramfort <alexandre.gramfort@m4x.org>
* Update docs/source/quickstart.rst
Co-authored-by: Alexandre Gramfort <alexandre.gramfort@m4x.org>
* Update docs/source/quickstart.rst
Co-authored-by: Alexandre Gramfort <alexandre.gramfort@m4x.org>
* Update docs/source/quickstart.rst
Co-authored-by: Alexandre Gramfort <alexandre.gramfort@m4x.org>
* Update docs/source/readme.rst
Co-authored-by: Alexandre Gramfort <alexandre.gramfort@m4x.org>
* Update test/test_utils.py
Co-authored-by: Alexandre Gramfort <alexandre.gramfort@m4x.org>
* Update ot/utils.py
Co-authored-by: Alexandre Gramfort <alexandre.gramfort@m4x.org>
* Update docs/source/readme.rst
Co-authored-by: Alexandre Gramfort <alexandre.gramfort@m4x.org>
* Update ot/lp/__init__.py
Co-authored-by: Alexandre Gramfort <alexandre.gramfort@m4x.org>
* begin comment alex
* comment alex part 2
* optimize test gromov
* proj_simplex on vectors
* add awesome gradient decsnt example on the weights
* pep98 of course
* proof read example by alex
* pep8 again
* encoding oos in translation
* correct legend
Co-authored-by: Nicolas Courty <ncourty@irisa.fr>
Co-authored-by: Alexandre Gramfort <alexandre.gramfort@m4x.org>
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* add JMLR reefrence to eradme and doc
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* First commit-warning removal
* remove dense feature
* pep8
* pep8
* EMD.h
* pep8 again
* tic toc tolerance
Co-authored-by: Rémi Flamary <remi.flamary@gmail.com>
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