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Diffstat (limited to 'src/python/doc/cubical_complex_tflow_itf_ref.rst')
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diff --git a/src/python/doc/cubical_complex_tflow_itf_ref.rst b/src/python/doc/cubical_complex_tflow_itf_ref.rst new file mode 100644 index 00000000..8991b638 --- /dev/null +++ b/src/python/doc/cubical_complex_tflow_itf_ref.rst @@ -0,0 +1,33 @@ +:orphan: + +.. To get rid of WARNING: document isn't included in any toctree + +TensorFlow layer for cubical persistence +######################################## + +.. include:: differentiation_sum.inc + +Example of gradient computed from cubical persistence +----------------------------------------------------- + +.. code-block:: python + from gudhi.tensorflow import * + import numpy as np + import tensorflow as tf + + Xinit = np.array([[0.,2.,2.],[2.,2.,2.],[2.,2.,1.]], dtype=np.float32) + X = tf.Variable(initial_value=Xinit, trainable=True) + cl = CubicalLayer(dimension=0) + + with tf.GradientTape() as tape: + dgm = cl.call(X) + loss = tf.math.reduce_sum(tf.square(.5*(dgm[:,1]-dgm[:,0]))) + grads = tape.gradient(loss, [X]) + +Documentation for CubicalLayer +------------------------------ + +.. autoclass:: gudhi.tensorflow.CubicalLayer + :members: + :special-members: __init__ + :show-inheritance: |