diff options
author | RĂ©mi Flamary <remi.flamary@gmail.com> | 2022-04-05 11:57:10 +0200 |
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committer | GitHub <noreply@github.com> | 2022-04-05 11:57:10 +0200 |
commit | ad02112d4288f3efdd5bc6fc6e45444313bba871 (patch) | |
tree | f6cd539450c2ed36cf5d7014debfd82e8b9fddfb /examples/backends | |
parent | 0afd84d744a472903d427e3c7ae32e55fdd7b9a7 (diff) |
[MRG] Update examples in the doc (#359)
* add transparent color logo
* add transparent color logo
* move screenkhorn
* move stochastic and install ffmpeg on circleci
* try something
* add sudo
* install ffmpeg before python
* cleanup examples
* test svg scrapper
* add animation for reg path
* better example OT sivergence
* update ttles and add plots
* update free support
* proper figure indexes
* have less frame sin animation
* update readme and release file
* add tests for python 3.10
Diffstat (limited to 'examples/backends')
-rw-r--r-- | examples/backends/plot_sliced_wass_grad_flow_pytorch.py | 2 | ||||
-rw-r--r-- | examples/backends/plot_wass1d_torch.py | 8 |
2 files changed, 6 insertions, 4 deletions
diff --git a/examples/backends/plot_sliced_wass_grad_flow_pytorch.py b/examples/backends/plot_sliced_wass_grad_flow_pytorch.py index 05b9952..cf5d64d 100644 --- a/examples/backends/plot_sliced_wass_grad_flow_pytorch.py +++ b/examples/backends/plot_sliced_wass_grad_flow_pytorch.py @@ -27,6 +27,8 @@ Machine Learning (pp. 4104-4113). PMLR. # # License: MIT License +# sphinx_gallery_thumbnail_number = 4 + # %% # Loading the data diff --git a/examples/backends/plot_wass1d_torch.py b/examples/backends/plot_wass1d_torch.py index 0abdd6d..cd8e2fd 100644 --- a/examples/backends/plot_wass1d_torch.py +++ b/examples/backends/plot_wass1d_torch.py @@ -1,9 +1,9 @@ r""" -================================= -Wasserstein 1D with PyTorch -================================= +================================================= +Wasserstein 1D (flow and barycenter) with PyTorch +================================================= -In this small example, we consider the following minization problem: +In this small example, we consider the following minimization problem: .. math:: \mu^* = \min_\mu W(\mu,\nu) |