tfmot.experimental.combine.strip_clustering_cqat

Strip clustering variables from the model.

tfmot.experimental.combine.strip_clustering_cqat(
    to_strip
)

During cluster-preserve quantization aware training (CQAT), centroids, cluster associations, and original weights are added to the training graph. After the CQAT is done, these variables should be removed and the layer with the clustered weights should be restored.

Arguments
`to_strip`	A `tf.keras.Model` instance with clustered layers or a `tf.keras.layers.Layer` instance

Returns
A keras model or layer with clustering variables removed.

Raises
`ValueError`	if the model is not a `tf.keras.Model` instance.
`NotImplementedError`	if the model is a subclassed model.

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Last updated 2023-05-26 UTC.

tfmot.experimental.combine.strip_clustering_cqat

Arguments

Returns

Raises