Rename to allowlist instead of whitelist.

https://developers.google.com/style/word-list#blacklist

PiperOrigin-RevId: 319123968

Author: alanchiao

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

@@ -73,7 +73,7 @@ class QuantizeRegistry(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
-  # to add more layers to whitelist.
+  # to add more layers to allowlist.
   _LAYER_QUANTIZE_INFO = [
       # Activation Layers
       _QuantizeInfo(layers.ReLU, [], [], True),
@@ -149,7 +149,7 @@ class QuantizeRegistry(quantize_registry.QuantizeRegistry, _RNNHelper):
 
       # RNN Cells
       # TODO(pulkitb): Verify RNN layers behavior.
-      # TODO(tfmot): check if we still need to whitelist via compat.v1 and
+      # TODO(tfmot): check if we still need to allowlist via compat.v1 and
       # compat.v2 to support legacy TensorFlow 2.X
       # behavior where the v2 RNN uses the v1 RNNCell instead of the v2 RNNCell.
       # See b/145939875 for details.

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

@@ -82,7 +82,7 @@ def testQuantizesMnist(self):
         rtol=0.2, atol=0.2)
 
 
-# Set of tests to determine what we can include in the whitelisted layers
+# Set of tests to determine what we can include in the allowlisted layers
 # for the default API.
 #
 # TFLite in TF 2.X currently does not support creation of full-integer models.

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

@@ -68,7 +68,7 @@ def testQuantizesWeightsInLayer(self):
   #  1. Only layers with 'kernel' attribute work. Need to extend to others.
   #  2. Activations are not tested currently.
   #  3. RNN layers need to be added
-  # TODO(tfmot): reenable some of these once added back to whitelist
+  # TODO(tfmot): reenable some of these once added back to allowlist
   # after testing in quantize_functional_test.py.
   @parameterized.parameters(
       # (layers.Conv1D, (3, 6), {

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

@@ -97,7 +97,7 @@ class PruneRegistry(object):
   }
 
   _RNN_CELLS_WEIGHTS_MAP = {
-      # Whitelist via compat.v1 and compat.v2 to support legacy TensorFlow 2.X
+      # Allowlist via compat.v1 and compat.v2 to support legacy TensorFlow 2.X
       # behavior where the v2 RNN uses the v1 RNNCell instead of the v2 RNNCell.
       # See b/145939875 for details.
       tf.compat.v1.keras.layers.GRUCell: ['kernel', 'recurrent_kernel'],