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/point_cloud/knn.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'src/python/gudhi/point_cloud/knn.py') diff --git a/src/python/gudhi/point_cloud/knn.py b/src/python/gudhi/point_cloud/knn.py index 4652fe80..994be3b6 100644 --- a/src/python/gudhi/point_cloud/knn.py +++ b/src/python/gudhi/point_cloud/knn.py @@ -46,7 +46,7 @@ class KNearestNeighbors: sort_results (bool): if True, then distances and indices of each point are sorted on return, so that the first column contains the closest points. Otherwise, neighbors are returned in an arbitrary order. Defaults to True. - enable_autodiff (bool): if the input is a torch.tensor, jax.numpy.ndarray or tensorflow.Tensor, this + enable_autodiff (bool): if the input is a torch.tensor or tensorflow.Tensor, this instructs the function to compute distances in a way that works with automatic differentiation. This is experimental, not supported for all metrics, and requires the package EagerPy. Defaults to False. -- cgit v1.2.3