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| author | Francisco Muñoz <femunoz@dim.uchile.cl> | 2023-05-10 07:41:15 -0400 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2023-05-10 13:41:15 +0200 |
| commit | 8cc8dd2e8e13022b03bcd013becc08e7e18c404a (patch) | |
| tree | 8305bdebda3479c1717c69e6e7133e07b4b444bd /ot/factored.py | |
| parent | 03341c6953c06608ba17d6bf7cd35666bc069988 (diff) | |
[FIX] Refactor the function `utils.cost_normalization` to work with multiple 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>
Diffstat (limited to 'ot/factored.py')
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