Add public API classes for quantization scheme.

tfmot.quantization.keras.QuantizeScheme
tfmot.quantization.keras.QuantizeRegistry
tfmot.quantization.keras.QuantizeLayoutTransform

tfmot.quantization.keras.default_8bit.Default8BitQuantizeScheme
tfmot.quantization.keras.default_8bit.Default8BitQuantizeRegistry
tfmot.quantization.keras.default_8bit.Default8BitQuantizeLayoutTransform

PiperOrigin-RevId: 343009136

Author: Xhark

tensorflow_model_optimization/python/core/api/BUILD

@@ -10,6 +10,7 @@ py_library(
         "clustering/keras/__init__.py",
         "quantization/__init__.py",
         "quantization/keras/__init__.py",
+        "quantization/keras/default_8bit/__init__.py",
         "quantization/keras/quantizers/__init__.py",
         "sparsity/__init__.py",
         "sparsity/keras/__init__.py",

tensorflow_model_optimization/python/core/api/quantization/keras/__init__.py

@@ -17,6 +17,7 @@
 
 # submodules
 from tensorflow_model_optimization.python.core.api.quantization.keras import quantizers
+from tensorflow_model_optimization.python.core.api.quantization.keras import default_8bit
 
 # quantize all layers with default quantization implementation.
 from tensorflow_model_optimization.python.core.quantization.keras.quantize import quantize_model
@@ -33,4 +34,9 @@
 # Deserialize quantized model for Keras h5 format.
 from tensorflow_model_optimization.python.core.quantization.keras.quantize import quantize_scope
 
+# Quantization Scheme classes.
+from tensorflow_model_optimization.python.core.quantization.keras.quantize_scheme import QuantizeScheme
+from tensorflow_model_optimization.python.core.quantization.keras.quantize_layout_transform import QuantizeLayoutTransform
+from tensorflow_model_optimization.python.core.quantization.keras.quantize_registry import QuantizeRegistry
+
 # pylint: enable=g-bad-import-order

tensorflow_model_optimization/python/core/api/quantization/keras/default_8bit/__init__.py

@@ -0,0 +1,23 @@
+# Copyright 2020 The TensorFlow Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ==============================================================================
+"""Module containing 8bit default quantization scheme."""
+# pylint: disable=g-bad-import-order
+
+# The 8bit default quantization scheme classes.
+from tensorflow_model_optimization.python.core.quantization.keras.default_8bit.default_8bit_quantize_scheme import Default8BitQuantizeScheme
+from tensorflow_model_optimization.python.core.quantization.keras.default_8bit.default_8bit_quantize_layout_transform import Default8BitQuantizeLayoutTransform
+from tensorflow_model_optimization.python.core.quantization.keras.default_8bit.default_8bit_quantize_registry import Default8BitQuantizeRegistry
+
+# pylint: enable=g-bad-import-order

tensorflow_model_optimization/python/core/quantization/keras/default_8bit/default_8bit_quantize_layout_transform.py

@@ -27,7 +27,7 @@
 keras = tf.keras
 
 
-class QuantizeLayoutTransform(
+class Default8BitQuantizeLayoutTransform(
     quantize_layout_transform.QuantizeLayoutTransform):
   """Default model transformations."""
 

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

@@ -69,7 +69,8 @@ def _get_rnn_cells(self, rnn_layer):
       return [rnn_layer.cell]
 
 
-class QuantizeRegistry(quantize_registry.QuantizeRegistry, _RNNHelper):
+class Default8BitQuantizeRegistry(
+    quantize_registry.QuantizeRegistry, _RNNHelper):
   """QuantizationRegistry for built-in Keras classes for default 8-bit scheme."""
 
   # TODO(tfmot): expand layers test in quantize_functional_test.py

tensorflow_model_optimization/python/core/quantization/keras/default_8bit/default_8bit_quantize_registry_test.py

@@ -79,8 +79,8 @@ class QuantizeRegistryTest(
 
   def setUp(self):
     super(QuantizeRegistryTest, self).setUp()
-    self.quantize_registry = default_8bit_quantize_registry.QuantizeRegistry(
-    )
+    self.quantize_registry = default_8bit_quantize_registry.\
+        Default8BitQuantizeRegistry()
 
   class CustomLayer(l.Layer):
     pass

tensorflow_model_optimization/python/core/quantization/keras/default_8bit/default_8bit_quantize_scheme.py

@@ -22,8 +22,9 @@
 class Default8BitQuantizeScheme(quantize_scheme.QuantizeScheme):
 
   def get_layout_transformer(self):
-    return default_8bit_quantize_layout_transform.QuantizeLayoutTransform()
+    return default_8bit_quantize_layout_transform.\
+        Default8BitQuantizeLayoutTransform()
 
   def get_quantize_registry(self):
-    return default_8bit_quantize_registry.QuantizeRegistry()
+    return default_8bit_quantize_registry.Default8BitQuantizeRegistry()
 

tensorflow_model_optimization/python/core/quantization/keras/default_8bit/default_8bit_transforms.py

@@ -584,8 +584,8 @@ def replacement(self, match_layer):
     concat_layer_node = match_layer
     feeding_layer_nodes = match_layer.input_layers
 
-    default_registry = default_8bit_quantize_registry.QuantizeRegistry(
-    )
+    default_registry = default_8bit_quantize_registry.\
+        Default8BitQuantizeRegistry()
 
     feed_quantize_configs = []
     for feed_layer_node in feeding_layer_nodes:

tensorflow_model_optimization/python/core/quantization/keras/quantize_wrapper_test.py

@@ -29,7 +29,7 @@
 
 QuantizeAwareActivation = quantize_aware_activation.QuantizeAwareActivation
 QuantizeWrapper = quantize_wrapper.QuantizeWrapper
-QuantizeRegistry = default_8bit_quantize_registry.QuantizeRegistry
+QuantizeRegistry = default_8bit_quantize_registry.Default8BitQuantizeRegistry
 
 keras = tf.keras
 layers = tf.keras.layers