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| author | MathieuCarriere <mathieu.carriere3@gmail.com> | 2021-11-05 00:35:51 +0100 |
|---|---|---|
| committer | MathieuCarriere <mathieu.carriere3@gmail.com> | 2021-11-05 00:35:51 +0100 |
| commit | 734622d5a8816cfdaaed2aaa4b9b3212fb6a259c (patch) | |
| tree | 1b3d1b10b0f28bdb654f1f53fe51d9d96c485af3 /src/python/doc/rips_complex_tflow_itf_ref.rst | |
| parent | 1597a5b4fc1aec9f825e430e80b2a843a9037043 (diff) | |
update doc and pieces of code
Diffstat (limited to 'src/python/doc/rips_complex_tflow_itf_ref.rst')
| -rw-r--r-- | src/python/doc/rips_complex_tflow_itf_ref.rst | 4 |
1 files changed, 1 insertions, 3 deletions
diff --git a/src/python/doc/rips_complex_tflow_itf_ref.rst b/src/python/doc/rips_complex_tflow_itf_ref.rst index 7300eba0..bd9c5da5 100644 --- a/src/python/doc/rips_complex_tflow_itf_ref.rst +++ b/src/python/doc/rips_complex_tflow_itf_ref.rst @@ -13,11 +13,9 @@ Example of gradient computed from Vietoris-Rips persistence .. testcode:: from gudhi.tensorflow import * - import numpy as np import tensorflow as tf - Xinit = np.array([[1.,1.],[2.,2.]], dtype=np.float32) - X = tf.Variable(initial_value=Xinit, trainable=True) + X = tf.Variable([[1.,1.],[2.,2.]], dtype=tf.float32, trainable=True) rl = RipsLayer(maximum_edge_length=2., dimension=0) with tf.GradientTape() as tape: |