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: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
-----------------------------------------------------
.. testcode::
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)
cl = CubicalLayer(homology_dimensions=[0])
with tf.GradientTape() as tape:
dgm = cl.call(X)[0][0]
loss = tf.math.reduce_sum(tf.square(.5*(dgm[:,1]-dgm[:,0])))
grads = tape.gradient(loss, [X])
print(grads[0].numpy())
.. testoutput::
[[ 0. 0. 0. ]
[ 0. 0.5 0. ]
[ 0. 0. -0.5]]
Documentation for CubicalLayer
------------------------------
.. autoclass:: gudhi.tensorflow.CubicalLayer
:members:
:special-members: __init__
:show-inheritance:
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