def testConvolutionalWeightsCA(self, clustering_centroids, pulling_indices,
expected_output):
"""Verifies that ConvolutionalWeightsCA works as expected."""
clustering_centroids = tf.Variable(clustering_centroids, dtype=tf.float32)
clustering_algo = clustering_registry.ConvolutionalWeightsCA(
clustering_centroids, GradientAggregation.SUM)
self._check_pull_values(clustering_algo, pulling_indices, expected_output)
def testConvolutionalWeightsCA(self, clustering_centroids, pulling_indices,
expected_output):
"""
Verifies that ConvolutionalWeightsCA works as expected.
"""
ca = clustering_registry.ConvolutionalWeightsCA(clustering_centroids)
self._pull_values(ca, pulling_indices, expected_output)
def testConvolutionalWeightsCAGrad(
self,
cluster_gradient_aggregation,
pulling_indices,
expected_grad_centroids,
):
"""Tests that the gradients of ConvolutionalWeightsCA work as expected."""
clustering_centroids = tf.Variable([0.0, 3.0], dtype=tf.float32)
weight = tf.constant([[0.1, 0.1, 0.1], [3.0, 3.0, 3.0], [0.2, 0.2, 0.2]])
clustering_algo = clustering_registry.ConvolutionalWeightsCA(
clustering_centroids, cluster_gradient_aggregation)
self._check_gradients_clustered_weight(
clustering_algo,
weight,
pulling_indices,
expected_grad_centroids,
)
