From 47f7f50c8cdb40a0a1fd73432498004f21641803 Mon Sep 17 00:00:00 2001 From: Marc Glisse Date: Tue, 4 Aug 2020 12:46:06 +0200 Subject: Remove JAX from the documentation jax.grad does not work with our functions (I think it used to work...) --- src/python/gudhi/wasserstein/wasserstein.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'src/python/gudhi/wasserstein') 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`. -- cgit v1.2.3