Age | Commit message (Collapse) | Author |
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backends (#472)
* [FEAT] Add the 'median' method to the backend base class and implements this method in the Numpy, Pytorch, Jax and Cupy backends
* [TEST] Modify the 'cost_normalization' test to multiple backends
* [REFACTOR] Refactor the 'utils.cost_normalization' function for multiple backends
* [TEST] Update backend tests for method 'median'
* [DEBUG] Fix the error in the test in the 'median' method with PyTorch backend
* [TEST] Add the edge case where the 'median' method is not yet implemented in the Tensorflow backend.
* [FEAT] Implement the 'median' method in the Tensorflow backend using Numpy
* [DEBUG] For compatibility reasons, the median method in the Pytorch backend change using numpy
* [DEBUG] The 'median' method checks the Pytorch version to decide whether to use torch.quantile or numpy
* Add changes to RELEASES.md
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Co-authored-by: Rémi Flamary <remi.flamary@gmail.com>
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* fix bug np vs torch matmul
* typo error
* einsum projections ssw
* Test broadcast matmul
* einsum projections ssw
* Test broadcast matmul
* projections SSW with einsum
* reduce number of samples in test wasserstein_circle_unif
* Update releases.md
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Co-authored-by: Rémi Flamary <remi.flamary@gmail.com>
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* Fix typos in docstrings and examples
* A few more fixes
* Fix ref for `center_ot_dual` function
* Another typo
* Fix titles formatting
* Explicit empty line after math blocks
* Typo: asymmetric
* Fix code cell formatting for 1D barycenters
* Empirical
* Fix indentation for references
* Fixed all WARNINGs about title formatting
* Fix empty lines after math blocks
* Fix whitespace line
* Update changelog
* Consistent Gromov-Wasserstein
* More Gromov-Wasserstein consistency
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Co-authored-by: Rémi Flamary <remi.flamary@gmail.com>
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example (#459)
* add sparsity-constrained ot funtionality and example
* correct typos; add projection_sparse_simplex
* add gradcheck; merge ot.sparse into ot.smooth.
* reuse existing ot.smooth functions with a new 'sparsity_constrained' reg_type
* address pep8 error
* add backends for
* update releases
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Co-authored-by: Rémi Flamary <remi.flamary@gmail.com>
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* make alpha diferentiable
* update release file
* debug tensorflow to_numpy
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* W circle + SSW
* Tests + Example SSW_1
* Example Wasserstein Circle + Tests
* Wasserstein on the circle wrt Unif
* Example SSW unif
* pep8
* np.linalg.qr for numpy < 1.22 by batch + add python3.11 to tests
* np qr
* rm test python 3.11
* update names, tests, backend transpose
* Comment error batchs
* semidiscrete_wasserstein2_unif_circle example
* torch permute method instead of torch.permute for previous versions
* update comments and doc
* doc wasserstein circle model as [0,1[
* Added ot.utils.get_coordinate_circle to get coordinates on the circle in turn
* Bug cuda w_circle + gradient ssw
* Bug cuda w_circle + gradient ssw
* backend detach
* Add PR in Releases.md
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Co-authored-by: Rémi Flamary <remi.flamary@gmail.com>
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* Allow warmstart in sinkhorn and sinkhorn_log
* Added argument for warmstart of dual vectors in Sinkhorn-based methods in
* Add the number of the PR
* [WIP] CO-Optimal Transport
* Revert "[WIP] CO-Optimal Transport"
This reverts commit f3d36b2705013409ac69b346585e311bc25fcfb7.
* reformat with PEP8
* Fix W291 trailing whitespace error in pep8 test
* Rearange position of warmstart argument and edit its description
* Implementation of CO-Optimal Transport
* Optimize code and edit documentation
* fix backend bug in test cases
* fix backend bug
* fix backend bug
* Add examples on COOT
* Modify API and edit example
* Edit API
* minor edit of examples and release
* fix bug in coot
* fix doc examples
* more fix of doc
* restart CI
* reordering ref
* add more tests
* add more tests
* add test verbose
* fix PEP8 bug
* fix PEP8 bug
* fix PEP8 bug
* fix pytest bug
* edit doc for better display
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Co-authored-by: Rémi Flamary <remi.flamary@gmail.com>
Co-authored-by: Alexandre Gramfort <agramfort@fb.com>
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entropic_partial_wasserstein work with backend (#449)
* add test of partial_wasserstein with torch tensors
* WIP: differentiable ot.partial.partial_wasserstein
* change test of torch partial
* make partial_wasserstein2 work with torch
* test backward through ot.partial.partial_wasserstein2
* add test of entropic_partial_wasserstein with torch tensors
* make entropic_partial_wasserstein work with torch tensors
* add test of backward through entropic_partial_wasserstein
* rm unused import
* test partial_wasserstein with all backends
* tests of partial fcts: check if torch is available
* partial: check if marginals are empty arrays
* add tests when marginals are empty arrays and/or m=None
* add PR to RELEASES.md
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Co-authored-by: Antoine Collas <22830806+antoinecollas@users.noreply.github.com>
Co-authored-by: Rémi Flamary <remi.flamary@gmail.com>
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* 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
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Co-authored-by: Rémi Flamary <remi.flamary@gmail.com>
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gromov-wasserstein solvers (#431)
* 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
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Co-authored-by: Rémi Flamary <remi.flamary@gmail.com>
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in `ot.bregman` (#437)
* Allow warmstart in sinkhorn and sinkhorn_log
* Added argument for warmstart of dual vectors in Sinkhorn-based methods in
* Add the number of the PR
* [WIP] CO-Optimal Transport
* Revert "[WIP] CO-Optimal Transport"
This reverts commit f3d36b2705013409ac69b346585e311bc25fcfb7.
* reformat with PEP8
* Fix W291 trailing whitespace error in pep8 test
* Rearange position of warmstart argument and edit its description
---------
Co-authored-by: Rémi Flamary <remi.flamary@gmail.com>
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* W circle + SSW
* Tests + Example SSW_1
* Example Wasserstein Circle + Tests
* Wasserstein on the circle wrt Unif
* Example SSW unif
* pep8
* np.linalg.qr for numpy < 1.22 by batch + add python3.11 to tests
* np qr
* rm test python 3.11
* update names, tests, backend transpose
* Comment error batchs
* semidiscrete_wasserstein2_unif_circle example
* torch permute method instead of torch.permute for previous versions
* update comments and doc
* doc wasserstein circle model as [0,1[
* Added ot.utils.get_coordinate_circle to get coordinates on the circle in turn
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* add gaussian modules
* add gaussian modules
* add PR to release.md
* Apply suggestions from code review
Co-authored-by: Alexandre Gramfort <alexandre.gramfort@m4x.org>
* Apply suggestions from code review
Co-authored-by: Alexandre Gramfort <alexandre.gramfort@m4x.org>
* Update ot/gaussian.py
* Update ot/gaussian.py
* add empirical bures wassertsein distance, fix docstring and test
* update to fit with new networkx API
* add test for jax et tf"
* fix test
* fix test?
* add empirical_bures_wasserstein_mapping
* fix docs
* fix doc
* fix docstring
* add tgnassou to contributors
* add more coverage for gaussian.py
* add deprecated function
* fix doc math"
"
* fix doc math"
"
* add remi flamary to authors of gaussiansmodule
* fix equation
Co-authored-by: Rémi Flamary <remi.flamary@gmail.com>
Co-authored-by: Alexandre Gramfort <alexandre.gramfort@m4x.org>
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* Pass warn argument downstream in sinkhorn2 method.
* releases.md
* Fix unittest.
Co-authored-by: Rémi Flamary <remi.flamary@gmail.com>
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* new API for OT solver
* use itertools for product of parameters
* add tests for result class
* add tests for result class
* add tests for result class last time?
* add sinkhorn
* make partial OT bckend compatible
* add TV as unbalanced flavor
* better tests
* make smoth backend compatible and add l2 tregularizatio to solve
* add reularizedd unbalanced
* add test for more complex attibutes
* add test for more complex attibutes
* add generic unbalaned solver and implement it for ot.solve
* add entropy to possible regularization
* star of documentation for ot.solv
* weird new pep8
* documenttaion for function ot.solve done
* pep8
* Update ot/solvers.py
Co-authored-by: Alexandre Gramfort <alexandre.gramfort@m4x.org>
* update release file
* Apply suggestions from code review
Co-authored-by: Alexandre Gramfort <alexandre.gramfort@m4x.org>
* add test NotImplemented
* pep8
* pep8gcmp pep8!
* compute kl in backend
* debug tensorflow kl backend
Co-authored-by: Alexandre Gramfort <alexandre.gramfort@m4x.org>
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* correct bug in DA l1lp with log
* better tests and speedup with smaller dataset size
* remove jax for log test
* remove trndorflow for log test
* pep8!
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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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* Bug solve
* Releases.md updated
* pep8
* attempt to solve docs building bug
* releases.md
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* skip tets if not torch installed
* update release.md
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* Adding function for computing Sinkhorn Free Support barycenters
* Adding exampel on Free Support Sinkhorn Barycenter
* Fixing typo on free support sinkhorn barycenter example
* Adding info on new Free Support Barycenter solver
* Removing extra line so that code follows pep8
* Fixing issues with pep8 in example
* Correcting issues with pep8 standards
* Adding tests for free support sinkhorn barycenter
* Adding section on Sinkhorn barycenter to the example
* Changing distributions for the Sinkhorn barycenter example
* Removing file that should not be on the last commit
* Adding PR number to REALEASES.md
* Adding new contributors
* Update CONTRIBUTORS.md
Co-authored-by: Rémi Flamary <remi.flamary@gmail.com>
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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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* 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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test (#376)
* 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
* GWB graphical tweaks + better seed method for partial gromov test
* fixed PR number
* refixed seed issue
* seed fix fix fix
Co-authored-by: Rémi Flamary <remi.flamary@gmail.com>
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* fix transpose in sinkhorn barycenters
* add test for assymetric cost barycenters
* fix pep8
Co-authored-by: Hicham Janati <hicham.janati@inria.fr>
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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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* bugfix
* update refs partial OT
* fixes small typos in plot_partial_wass_and_gromov
* fix small bugs in partial.py
* update README
* pep8 bugfix
* modif doctest
* fix bugtests
* update on test_partial and test on the numerical precision on ot/partial
* resolve merge pb
* Delete partial.py
* update unbalanced: mm algo+plot
* update unbalanced: mm algo+plot
* update unbalanced: mm algo+plot
* update unbalanced: mm algo+plot
* update unbalanced: mm algo+plot
* add test mm algo unbalanced OT
* add test mm algo unbalanced OT
* add test mm algo unbalanced OT
* add test mm algo unbalanced OT
* add test mm algo unbalanced OT
* add test mm algo unbalanced OT
* add test mm algo unbalanced OT
* add test mm algo unbalanced OT
* update unbalanced: mm algo+plot
* update unbalanced: mm algo+plot
* update releases.md with new MM UOT algorithms
Co-authored-by: Rémi Flamary <remi.flamary@gmail.com>
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* remove all cpu submodule and tests
* speedup tests gromov
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or regularized OT (#360)
* add losses and plan computations and exmaple for dual oiptimization
* pep8
* add nice exmaple
* update awesome example stochasti dual
* add all tests
* pep8 + speedup exmaple
* add release info
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* add gfactored ot
* pep8 and add doc
* add exmaple for factotred OT
* final number of PR
* correct test on backends
* remove useless loss
* better tests
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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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* Resolves gromov wasserstein backward bug
* release file updated
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* Configure setup to compile against oldest supported numpy version using the meta-package: https://pypi.org/project/oldest-supported-numpy/ -
* Set minimum Python requirement to `>=3.7` in setup.py since !328 removed Python 3.6 support
* Fix typo in pyproject.toml -
* Update setup.py
* Update setup.py and
* build wheels
* remove install dependencies for wheels building and build wheels
* Apply suggestions from code review
Co-authored-by: David M. Ghiurco <9147386+davidghiurco@users.noreply.github.com>
* correct timing test add info in release file and build wheels
* pep8 and
Co-authored-by: David Ghiurco <9147386+davidghiurco@users.noreply.github.com>
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* add fgw dictionary learning feature
* add fgw dictionary learning feature
* plot gromov wasserstein dictionary learning
* Update __init__.py
* fix pep8 errors exact E501 line too long
* fix last pep8 issues
* add unitary tests for (F)GW dictionary learning without using autodifferentiable functions
* correct tests for (F)GW dictionary learning without using autodiff
* correct tests for (F)GW dictionary learning without using autodiff
* fix docs and notations
* answer to review: improve tests, docs, examples + make node weights optional
* fix pep8 and examples
* improve docs + tests + thumbnail
* make example faster
* improve ex
* update README.md
* make GDL tests faster
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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* [MRG] Implement Sinkhorn in log-domain for WDA
* for small values of the regularization parameter (reg) the current implementation runs into numerical issues (nans and infs)
* this can be resolved by using log-domain implementation of the sinkhorn algorithm
* Add feature to RELEASES and contributor name
* Add 'sinkhorn_method' parameter to WDA
* use the standard Sinkhorn solver by default (faster)
* use log-domain Sinkhorn if asked by the user
Co-authored-by: Jakub Zadrożny <jz@qed.ai>
Co-authored-by: Rémi Flamary <remi.flamary@gmail.com>
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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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* Fix issue 317
* Update with docs and tests
Co-authored-by: Rémi Flamary <remi.flamary@gmail.com>
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* Cupy backend
* pep8 + bug
* working even if cupy not installed
* attempt to force codecov to ignore cupy because no gpu can be used for testing on github
* docstring
* readme
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* solve bug
* Linesearch no longer return None as alpha, only 0
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* orrect gradient bug in emd2
* small comment in test
* deploy properly on tag release
* subplot fail
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* solve bug
* Weights & docs
* tests for dist
* test dist
* pep8
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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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* grmov differentable
* new stuff
* test gromov gradients
* fgwdifferentiable
* fgw tested
* correc name test
* add awesome example with gromov optimizatrion
* pep8+ typos
* damn pep8
* thunbnail
* remove prints
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* add debiased sinkhorn barycenter + make loops pythonic
* add debiased arg in tests
* add 1d and 2d examples of debiased barycenters
* fix doctest
* fix flake8
* pep8 + make func private + add convergence warnings
* remove rel paths + add rng + pylab to pyplot
* fix stopping criterion debiased
* pass alex
* change params with new API
* add logdomain barycenters + separate debiased API
* test new API
* fix jax read-only ?
* raise error for jax
* test catch jax error
* fix pytest catch error
* fix relative path
* fix flake8
* add warn arg everywhere
* fix ref number
* catch warnings in tests
* add contrib to readme + change ref number
* fix convolution example + gallery thumbnails
* increase coverage
* fix flake
Co-authored-by: Hicham Janati <hicham.janati@inria.fr>
Co-authored-by: Rémi Flamary <remi.flamary@gmail.com>
Co-authored-by: Alexandre Gramfort <alexandre.gramfort@m4x.org>
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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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