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Abstract Base Class for making your own keras layer clusterable.
Used in the notebooks
|Used in the guide
Your layer could be derived from a keras built-in layer or it could be a keras custom layer.
The function get_clusterable_weights should be provided in both cases.
The function get_clusterable_algorithm is provided, when weights for clustering is added in the keras layer.
Returns class with the clustering algorithm for the given weight_name.
This function needs to be implemented for the customerable layers. If the layer is derived from the built-in keras layer, the clustering algorithm for the base built-in keras layer is used.
The returned class should be derived from ClusteringAlgorithm and implements the function get_pulling_indices. This function is used to provide a special lookup function for the custom weights. It reshapes and tile centroids the same way as the weights. This allows us to find pulling indices efficiently.
The name of the weight variable.
Returns list of clusterable weight tensors.
All the weight tensors which the layer wants to be clustered during training must be returned by this method.
Returns: List of weight tensors/kernels in the keras layer which must be clustered during training. Each element in the list is a (name, kernel) 2-tuple that consists of the name of the clusterable kernel and the kernel object itself.