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authorMathieuCarriere <mathieu.carriere3@gmail.com>2021-11-15 18:44:34 +0100
committerMathieuCarriere <mathieu.carriere3@gmail.com>2021-11-15 18:44:34 +0100
commitf09d7da77c8a7bc1a16abde3f11f611a4fd7b6f5 (patch)
treebe76f8729b586f081048ed5e826aab32369c92d9 /src/python/doc/cubical_complex_tflow_itf_ref.rst
parent1fd37bf29d665330f1eb242139bc0faf10a542c1 (diff)
update doc
Diffstat (limited to 'src/python/doc/cubical_complex_tflow_itf_ref.rst')
-rw-r--r--src/python/doc/cubical_complex_tflow_itf_ref.rst2
1 files changed, 1 insertions, 1 deletions
diff --git a/src/python/doc/cubical_complex_tflow_itf_ref.rst b/src/python/doc/cubical_complex_tflow_itf_ref.rst
index 582e0551..92727a75 100644
--- a/src/python/doc/cubical_complex_tflow_itf_ref.rst
+++ b/src/python/doc/cubical_complex_tflow_itf_ref.rst
@@ -12,7 +12,7 @@ Example of gradient computed from cubical persistence
.. testcode::
- from gudhi.tensorflow import *
+ from gudhi.tensorflow import CubicalLayer
import tensorflow as tf
X = tf.Variable([[0.,2.,2.],[2.,2.,2.],[2.,2.,1.]], dtype=tf.float32, trainable=True)