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allow registering custom layers in prune and clustering registries. #1070

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allow registering custom layers in prune and clustering registries. #1070

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1 change: 1 addition & 0 deletions tensorflow_model_optimization/python/core/api/clustering/keras/__init__.py
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Expand Up @@ -25,4 +25,5 @@
from tensorflow_model_optimization.python.core.clustering.keras.clustering_algorithm import ClusteringAlgorithm
from tensorflow_model_optimization.python.core.clustering.keras.clustering_callbacks import ClusteringSummaries
from tensorflow_model_optimization.python.core.clustering.keras.clusterable_layer import ClusterableLayer
from tensorflow_model_optimization.python.core.clustering.keras.clustering_registry import ClusteringRegistry
# pylint: enable=g-bad-import-order
2 changes: 2 additions & 0 deletions tensorflow_model_optimization/python/core/api/sparsity/keras/__init__.py
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Expand Up @@ -31,4 +31,6 @@
from tensorflow_model_optimization.python.core.sparsity.keras.pruning_policy import PruningPolicy
from tensorflow_model_optimization.python.core.sparsity.keras.pruning_policy import PruneForLatencyOnXNNPack

from tensorflow_model_optimization.python.core.sparsity.keras.prune_registry import PruneRegistry

# pylint: enable=g-bad-import-order
4 changes: 4 additions & 0 deletions tensorflow_model_optimization/python/core/clustering/keras/clustering_registry.py
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Expand Up @@ -220,3 +220,7 @@ def get_clusterable_weights_mha(): # pylint: disable=missing-docstring
layer.get_clusterable_weights = get_clusterable_weights

return layer

@classmethod
def register_clusterable_layer(cls, layer: layers.Layer, clusterable_weights: list[str]):
cls._LAYERS_WEIGHTS_MAP[layer] = clusterable_weights
6 changes: 4 additions & 2 deletions tensorflow_model_optimization/python/core/sparsity/keras/prune_registry.py
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Expand Up @@ -19,8 +19,6 @@

from tensorflow_model_optimization.python.core.sparsity.keras import prunable_layer

# TODO(b/139939526): move to public API.

layers = tf.keras.layers
layers_compat_v1 = tf.compat.v1.keras.layers

Expand Down Expand Up @@ -226,3 +224,7 @@ def get_prunable_weights_mha_weight(weight_name):
layer.get_prunable_weights = get_prunable_weights

return layer

@classmethod
def register_prunable_layer(cls, layer: layers.Layer, prunable_weights: list[str]):
cls._LAYERS_WEIGHTS_MAP[layer] = prunable_weights