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author | MathieuCarriere <mathieu.carriere3@gmail.com> | 2021-11-15 18:44:34 +0100 |
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committer | MathieuCarriere <mathieu.carriere3@gmail.com> | 2021-11-15 18:44:34 +0100 |
commit | f09d7da77c8a7bc1a16abde3f11f611a4fd7b6f5 (patch) | |
tree | be76f8729b586f081048ed5e826aab32369c92d9 /src/python/doc | |
parent | 1fd37bf29d665330f1eb242139bc0faf10a542c1 (diff) |
update doc
Diffstat (limited to 'src/python/doc')
-rw-r--r-- | src/python/doc/cubical_complex_tflow_itf_ref.rst | 2 | ||||
-rw-r--r-- | src/python/doc/ls_simplex_tree_tflow_itf_ref.rst | 2 | ||||
-rw-r--r-- | src/python/doc/rips_complex_tflow_itf_ref.rst | 2 |
3 files changed, 3 insertions, 3 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) diff --git a/src/python/doc/ls_simplex_tree_tflow_itf_ref.rst b/src/python/doc/ls_simplex_tree_tflow_itf_ref.rst index 6c8b5a08..0a6764fa 100644 --- a/src/python/doc/ls_simplex_tree_tflow_itf_ref.rst +++ b/src/python/doc/ls_simplex_tree_tflow_itf_ref.rst @@ -12,7 +12,7 @@ Example of gradient computed from lower-star filtration of a simplex tree .. testcode:: - from gudhi.tensorflow import * + from gudhi.tensorflow import LowerStarSimplexTreeLayer import tensorflow as tf import gudhi as gd diff --git a/src/python/doc/rips_complex_tflow_itf_ref.rst b/src/python/doc/rips_complex_tflow_itf_ref.rst index bd9c5da5..7aa77da6 100644 --- a/src/python/doc/rips_complex_tflow_itf_ref.rst +++ b/src/python/doc/rips_complex_tflow_itf_ref.rst @@ -12,7 +12,7 @@ Example of gradient computed from Vietoris-Rips persistence .. testcode:: - from gudhi.tensorflow import * + from gudhi.tensorflow import RipsLayer import tensorflow as tf X = tf.Variable([[1.,1.],[2.,2.]], dtype=tf.float32, trainable=True) |