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| author | MathieuCarriere <mathieu.carriere3@gmail.com> | 2022-06-24 16:19:34 +0200 |
|---|---|---|
| committer | MathieuCarriere <mathieu.carriere3@gmail.com> | 2022-06-24 16:19:34 +0200 |
| commit | 370c09100d94dc73f582ebbabb994bcd2a3820eb (patch) | |
| tree | daae040b8079870772dffd7ab24a54d7b1b72387 /src/python/doc/rips_complex_tflow_itf_ref.rst | |
| parent | b93fbe5e7c246a6ee23a8686f9b5983624a6ab42 (diff) | |
changed dimensions into homology_dimensions
Diffstat (limited to 'src/python/doc/rips_complex_tflow_itf_ref.rst')
| -rw-r--r-- | src/python/doc/rips_complex_tflow_itf_ref.rst | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/src/python/doc/rips_complex_tflow_itf_ref.rst b/src/python/doc/rips_complex_tflow_itf_ref.rst index 6c65c562..3ce75868 100644 --- a/src/python/doc/rips_complex_tflow_itf_ref.rst +++ b/src/python/doc/rips_complex_tflow_itf_ref.rst @@ -21,7 +21,7 @@ Example of gradient computed from Vietoris-Rips persistence import tensorflow as tf X = tf.Variable([[1.,1.],[2.,2.]], dtype=tf.float32, trainable=True) - rl = RipsLayer(maximum_edge_length=2., dimensions=[0]) + rl = RipsLayer(maximum_edge_length=2., homology_dimensions=[0]) with tf.GradientTape() as tape: dgm = rl.call(X)[0][0] |