Remove APIs / logic that is overdue for removal.

PiperOrigin-RevId: 425234382

Author: fchollet

tensorflow_model_optimization/python/core/clustering/keras/clustering_registry.py

@@ -89,7 +89,6 @@ class ClusteringRegistry(object):
       tf.compat.v2.keras.layers.SimpleRNNCell,
       tf.compat.v1.keras.layers.StackedRNNCells,
       tf.compat.v2.keras.layers.StackedRNNCells,
-      tf.keras.experimental.PeepholeLSTMCell,
   })
 
   _SUPPORTED_RNN_LAYERS = frozenset([

tensorflow_model_optimization/python/core/quantization/keras/default_8bit/default_8bit_quantize_registry.py

@@ -171,9 +171,6 @@ class Default8BitQuantizeRegistry(
       #               ['activation', 'recurrent_activation']),
       # _QuantizeInfo(tf.keras.layers.LSTMCell, ['kernel', 'recurrent_kernel'],
       #               ['activation', 'recurrent_activation']),
-      # _QuantizeInfo(tf.keras.experimental.PeepholeLSTMCell,
-      #               ['kernel', 'recurrent_kernel'],
-      #               ['activation', 'recurrent_activation']),
       # _QuantizeInfo(tf.keras.layers.SimpleRNNCell,
       #               ['kernel', 'recurrent_kernel'],
       #               ['activation', 'recurrent_activation']),

tensorflow_model_optimization/python/core/sparsity/keras/prune_integration_test.py

@@ -469,7 +469,6 @@ def testRNNLayersWithRNNCellParams_ReachesTargetSparsity(self):
             keras.layers.RNN([
                 layers.LSTMCell(10),
                 layers.GRUCell(10),
-                tf.keras.experimental.PeepholeLSTMCell(10),
                 layers.SimpleRNNCell(10)
             ]),
             input_shape=(3, 4),

tensorflow_model_optimization/python/core/sparsity/keras/prune_registry.py

@@ -112,12 +112,6 @@ class PruneRegistry(object):
       tf.compat.v2.keras.layers.GRUCell: ['kernel', 'recurrent_kernel'],
       tf.compat.v1.keras.layers.LSTMCell: ['kernel', 'recurrent_kernel'],
       tf.compat.v2.keras.layers.LSTMCell: ['kernel', 'recurrent_kernel'],
-      tf.compat.v1.keras.experimental.PeepholeLSTMCell: [
-          'kernel', 'recurrent_kernel'
-      ],
-      tf.compat.v2.keras.experimental.PeepholeLSTMCell: [
-          'kernel', 'recurrent_kernel'
-      ],
       tf.compat.v1.keras.layers.SimpleRNNCell: ['kernel', 'recurrent_kernel'],
       tf.compat.v2.keras.layers.SimpleRNNCell: ['kernel', 'recurrent_kernel'],
   }

tensorflow_model_optimization/python/core/sparsity/keras/prune_registry_test.py

@@ -83,7 +83,6 @@ class PruneRegistryTest(tf.test.TestCase, parameterized.TestCase):
       layers.RNN([
           layers.LSTMCell(10),
           layers.GRUCell(10),
-          keras.experimental.PeepholeLSTMCell(10),
           layers.SimpleRNNCell(10)
       ]),
       keras.layers.RNN(MinimalRNNCellPrunable(32)),