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-rw-r--r--src/python/gudhi/wasserstein/wasserstein.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/src/python/gudhi/wasserstein/wasserstein.py b/src/python/gudhi/wasserstein/wasserstein.py
index fe001c37..a9d1cdff 100644
--- a/src/python/gudhi/wasserstein/wasserstein.py
+++ b/src/python/gudhi/wasserstein/wasserstein.py
@@ -99,7 +99,7 @@ def wasserstein_distance(X, Y, matching=False, order=1., internal_p=np.inf, enab
:param order: exponent for Wasserstein; Default value is 1.
:param internal_p: Ground metric on the (upper-half) plane (i.e. norm L^p in R^2);
Default value is `np.inf`.
- :param enable_autodiff: If X and Y are torch.tensor, tensorflow.Tensor or jax.numpy.ndarray, make the computation
+ :param enable_autodiff: If X and Y are torch.tensor or tensorflow.Tensor, make the computation
transparent to automatic differentiation. This requires the package EagerPy and is currently incompatible
with `matching=True`.