Unexport models from the 0.8 release (#1360)

This unexports our "not yet ready from prime time models".
- electra
- gpt-neox
- t5
- whisper
- xlnet

These are all still in flight to some degree.

keras_nlp/models/bloom/bloom_backbone.py

@@ -13,7 +13,6 @@
 # limitations under the License.
 import copy
 
-from keras_nlp.api_export import keras_nlp_export
 from keras_nlp.backend import keras
 from keras_nlp.layers.modeling.reversible_embedding import ReversibleEmbedding
 from keras_nlp.models.backbone import Backbone
@@ -26,7 +25,7 @@ def _bloom_kernel_initializer(stddev=0.02):
     return keras.initializers.RandomNormal(stddev=stddev)
 
 
-@keras_nlp_export("keras_nlp.models.BloomBackbone")
+@keras.saving.register_keras_serializable(package="keras_nlp")
 class BloomBackbone(Backbone):
     """A BLOOM decoder network.
 

keras_nlp/models/bloom/bloom_causal_lm_preprocessor.py

@@ -15,7 +15,7 @@
 import tensorflow as tf
 from absl import logging
 
-from keras_nlp.api_export import keras_nlp_export
+from keras_nlp.backend import keras
 from keras_nlp.backend import ops
 from keras_nlp.models.bloom.bloom_preprocessor import BloomPreprocessor
 from keras_nlp.utils.keras_utils import (
@@ -24,7 +24,7 @@
 from keras_nlp.utils.keras_utils import pack_x_y_sample_weight
 
 
-@keras_nlp_export("keras_nlp.models.BloomCausalLMPreprocessor")
+@keras.saving.register_keras_serializable(package="keras_nlp")
 class BloomCausalLMPreprocessor(BloomPreprocessor):
     """BLOOM Causal LM preprocessor.
 

keras_nlp/models/bloom/bloom_preprocessor.py

@@ -14,7 +14,7 @@
 
 import copy
 
-from keras_nlp.api_export import keras_nlp_export
+from keras_nlp.backend import keras
 from keras_nlp.layers.preprocessing.start_end_packer import StartEndPacker
 from keras_nlp.models.bloom.bloom_presets import backbone_presets
 from keras_nlp.models.bloom.bloom_tokenizer import BloomTokenizer
@@ -26,7 +26,7 @@
 from keras_nlp.utils.python_utils import classproperty
 
 
-@keras_nlp_export("keras_nlp.models.BloomPreprocessor")
+@keras.saving.register_keras_serializable(package="keras_nlp")
 class BloomPreprocessor(Preprocessor):
     """BLOOM preprocessing layer which tokenizes and packs inputs.
 

keras_nlp/models/bloom/bloom_tokenizer.py

@@ -14,13 +14,13 @@
 
 import copy
 
-from keras_nlp.api_export import keras_nlp_export
+from keras_nlp.backend import keras
 from keras_nlp.models.bloom.bloom_presets import backbone_presets
 from keras_nlp.tokenizers.byte_pair_tokenizer import BytePairTokenizer
 from keras_nlp.utils.python_utils import classproperty
 
 
-@keras_nlp_export("keras_nlp.models.BloomTokenizer")
+@keras.saving.register_keras_serializable(package="keras_nlp")
 class BloomTokenizer(BytePairTokenizer):
     """A BLOOM tokenizer using Byte-Pair Encoding subword segmentation.
 

keras_nlp/models/electra/electra_backbone.py

@@ -12,7 +12,6 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from keras_nlp.api_export import keras_nlp_export
 from keras_nlp.backend import keras
 from keras_nlp.layers.modeling.position_embedding import PositionEmbedding
 from keras_nlp.layers.modeling.reversible_embedding import ReversibleEmbedding
@@ -25,7 +24,7 @@ def electra_kernel_initializer(stddev=0.02):
     return keras.initializers.TruncatedNormal(stddev=stddev)
 
 
-@keras_nlp_export("keras_nlp.models.ElectraBackbone")
+@keras.saving.register_keras_serializable(package="keras_nlp")
 class ElectraBackbone(Backbone):
     """A Electra encoder network.
 

keras_nlp/models/electra/electra_tokenizer.py

@@ -12,11 +12,11 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from keras_nlp.api_export import keras_nlp_export
+from keras_nlp.backend import keras
 from keras_nlp.tokenizers import WordPieceTokenizer
 
 
-@keras_nlp_export("keras_nlp.models.ElectraTokenizer")
+@keras.saving.register_keras_serializable(package="keras_nlp")
 class ElectraTokenizer(WordPieceTokenizer):
     """A ELECTRA tokenizer using WordPiece subword segmentation.
 

keras_nlp/models/gpt_neo_x/gpt_neo_x_backbone.py

@@ -12,7 +12,6 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from keras_nlp.api_export import keras_nlp_export
 from keras_nlp.backend import keras
 from keras_nlp.layers.modeling.reversible_embedding import ReversibleEmbedding
 from keras_nlp.models.backbone import Backbone
@@ -24,7 +23,7 @@ def _gpt_neo_x_kernel_initializer(stddev=0.02):
     return keras.initializers.RandomNormal(stddev=stddev)
 
 
-@keras_nlp_export("keras_nlp.models.GPTNeoXBackbone")
+@keras.saving.register_keras_serializable(package="keras_nlp")
 class GPTNeoXBackbone(Backbone):
     """GPT-NeoX core network with hyperparameters.
 

keras_nlp/models/gpt_neo_x/gpt_neo_x_causal_lm.py

@@ -12,7 +12,6 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from keras_nlp.api_export import keras_nlp_export
 from keras_nlp.backend import keras
 from keras_nlp.backend import ops
 from keras_nlp.models.generative_task import GenerativeTask
@@ -23,7 +22,7 @@
 from keras_nlp.utils.python_utils import classproperty
 
 
-@keras_nlp_export("keras_nlp.models.GPTNeoXCausalLM")
+@keras.saving.register_keras_serializable(package="keras_nlp")
 class GPTNeoXCausalLM(GenerativeTask):
     """An end-to-end GPTNeoX model for causal language modeling.
 

keras_nlp/models/gpt_neo_x/gpt_neo_x_causal_lm_preprocessor.py

@@ -15,7 +15,7 @@
 import tensorflow as tf
 from absl import logging
 
-from keras_nlp.api_export import keras_nlp_export
+from keras_nlp.backend import keras
 from keras_nlp.backend import ops
 from keras_nlp.models.gpt_neo_x.gpt_neo_x_preprocessor import (
     GPTNeoXPreprocessor,
@@ -26,7 +26,7 @@
 from keras_nlp.utils.keras_utils import pack_x_y_sample_weight
 
 
-@keras_nlp_export("keras_nlp.models.GPTNeoXCausalLMPreprocessor")
+@keras.saving.register_keras_serializable(package="keras_nlp")
 class GPTNeoXCausalLMPreprocessor(GPTNeoXPreprocessor):
     """GPT-NeoX Causal LM preprocessor.
 

keras_nlp/models/gpt_neo_x/gpt_neo_x_preprocessor.py

@@ -12,7 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from keras_nlp.api_export import keras_nlp_export
+from keras_nlp.backend import keras
 from keras_nlp.layers.preprocessing.start_end_packer import StartEndPacker
 from keras_nlp.models.gpt_neo_x.gpt_neo_x_tokenizer import GPTNeoXTokenizer
 from keras_nlp.models.preprocessor import Preprocessor
@@ -23,7 +23,7 @@
 from keras_nlp.utils.python_utils import classproperty
 
 
-@keras_nlp_export("keras_nlp.models.GPTNeoXPreprocessor")
+@keras.saving.register_keras_serializable(package="keras_nlp")
 class GPTNeoXPreprocessor(Preprocessor):
     """GPTNeoX preprocessing layer which tokenizes and packs inputs.
 

keras_nlp/models/gpt_neo_x/gpt_neo_x_tokenizer.py

@@ -12,11 +12,11 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from keras_nlp.api_export import keras_nlp_export
+from keras_nlp.backend import keras
 from keras_nlp.tokenizers.byte_pair_tokenizer import BytePairTokenizer
 
 
-@keras_nlp_export("keras_nlp.models.GPTNeoXTokenizer")
+@keras.saving.register_keras_serializable(package="keras_nlp")
 class GPTNeoXTokenizer(BytePairTokenizer):
     """A GPTNeoX tokenizer using Byte-Pair Encoding subword segmentation.
 

keras_nlp/models/llama/llama_backbone.py

@@ -11,7 +11,6 @@
 # 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.
-from keras_nlp.api_export import keras_nlp_export
 from keras_nlp.backend import keras
 from keras_nlp.backend import ops
 from keras_nlp.layers.modeling.reversible_embedding import ReversibleEmbedding
@@ -24,7 +23,7 @@ def _llama_kernel_initializer(stddev=0.02):
     return keras.initializers.RandomNormal(stddev=stddev)
 
 
-@keras_nlp_export("keras_nlp.models.LlamaBackbone")
+@keras.saving.register_keras_serializable(package="keras_nlp")
 class LlamaBackbone(Backbone):
     """
     LLaMA core network with hyperparameters.

keras_nlp/models/mistral/mistral_backbone.py

@@ -32,7 +32,7 @@ def _mistral_kernel_initializer(stddev=0.02):
     return keras.initializers.RandomNormal(stddev=stddev)
 
 
-@keras_nlp_export("keras_nlp.models.MistralBackbone")
+@keras_nlp_export
 class MistralBackbone(Backbone):
     """
     The Mistral Transformer core architecture with hyperparameters.

keras_nlp/models/mistral/mistral_preprocessor.py

@@ -13,7 +13,7 @@
 # limitations under the License.
 import copy
 
-from keras_nlp.api_export import keras_nlp_export
+from keras_nlp.backend import keras
 from keras_nlp.layers.preprocessing.start_end_packer import StartEndPacker
 from keras_nlp.models.mistral.mistral_presets import backbone_presets
 from keras_nlp.models.mistral.mistral_tokenizer import MistralTokenizer
@@ -25,7 +25,7 @@
 from keras_nlp.utils.python_utils import classproperty
 
 
-@keras_nlp_export("keras_nlp.models.MistralPreprocessor")
+@keras.saving.register_keras_serializable(package="keras_nlp")
 class MistralPreprocessor(Preprocessor):
     """A Mistral preprocessing layer which tokenizes and packs inputs.
 

keras_nlp/models/mistral/mistral_tokenizer.py

@@ -19,7 +19,7 @@
 from keras_nlp.utils.python_utils import classproperty
 
 
-@keras_nlp_export("keras_nlp.models.MistralTokenizer")
+@keras_nlp_export
 class MistralTokenizer(SentencePieceTokenizer):
     """Mistral tokenizer layer based on SentencePiece.
 

keras_nlp/models/t5/t5_backbone.py

@@ -13,7 +13,6 @@
 # limitations under the License.
 import copy
 
-from keras_nlp.api_export import keras_nlp_export
 from keras_nlp.backend import keras
 from keras_nlp.layers.modeling.reversible_embedding import ReversibleEmbedding
 from keras_nlp.models.backbone import Backbone
@@ -23,7 +22,7 @@
 from keras_nlp.utils.python_utils import classproperty
 
 
-@keras_nlp_export("keras_nlp.models.T5Backbone")
+@keras.saving.register_keras_serializable(package="keras_nlp")
 class T5Backbone(Backbone):
     """T5 encoder-decoder backbone model.
 

keras_nlp/models/t5/t5_tokenizer.py

@@ -13,13 +13,13 @@
 # limitations under the License.
 import copy
 
-from keras_nlp.api_export import keras_nlp_export
+from keras_nlp.backend import keras
 from keras_nlp.models.t5.t5_presets import backbone_presets
 from keras_nlp.tokenizers.sentence_piece_tokenizer import SentencePieceTokenizer
 from keras_nlp.utils.python_utils import classproperty
 
 
-@keras_nlp_export("keras_nlp.models.T5Tokenizer")
+@keras.saving.register_keras_serializable(package="keras_nlp")
 class T5Tokenizer(SentencePieceTokenizer):
     """T5 tokenizer layer based on SentencePiece.
 

keras_nlp/models/whisper/whisper_audio_feature_extractor.py

@@ -17,7 +17,7 @@
 import numpy as np
 import tensorflow as tf
 
-from keras_nlp.api_export import keras_nlp_export
+from keras_nlp.backend import keras
 from keras_nlp.layers.preprocessing.preprocessing_layer import (
     PreprocessingLayer,
 )
@@ -26,7 +26,7 @@
 from keras_nlp.utils.python_utils import format_docstring
 
 
-@keras_nlp_export("keras_nlp.models.WhisperAudioFeatureExtractor")
+@keras.saving.register_keras_serializable(package="keras_nlp")
 class WhisperAudioFeatureExtractor(PreprocessingLayer):
     """
     Whisper audio feature extractor layer.

keras_nlp/models/whisper/whisper_backbone.py

@@ -14,7 +14,6 @@
 
 import copy
 
-from keras_nlp.api_export import keras_nlp_export
 from keras_nlp.backend import keras
 from keras_nlp.backend import ops
 from keras_nlp.layers.modeling.position_embedding import PositionEmbedding
@@ -38,7 +37,7 @@ def call(self, x):
         return ops.pad(x, [[0, 0], [1, 1], [0, 0]])
 
 
-@keras_nlp_export("keras_nlp.models.WhisperBackbone")
+@keras.saving.register_keras_serializable(package="keras_nlp")
 class WhisperBackbone(Backbone):
     """A Whisper encoder-decoder network for speech.
 

keras_nlp/models/whisper/whisper_preprocessor.py

@@ -16,7 +16,6 @@
 
 from absl import logging
 
-from keras_nlp.api_export import keras_nlp_export
 from keras_nlp.backend import keras
 from keras_nlp.layers.preprocessing.start_end_packer import StartEndPacker
 from keras_nlp.models.preprocessor import Preprocessor
@@ -32,7 +31,7 @@
 from keras_nlp.utils.python_utils import classproperty
 
 
-@keras_nlp_export("keras_nlp.models.WhisperPreprocessor")
+@keras.saving.register_keras_serializable(package="keras_nlp")
 class WhisperPreprocessor(Preprocessor):
     """A Whisper preprocessing layer which handles audio and text input.
 

keras_nlp/models/whisper/whisper_tokenizer.py

@@ -15,7 +15,7 @@
 import copy
 import json
 
-from keras_nlp.api_export import keras_nlp_export
+from keras_nlp.backend import keras
 from keras_nlp.models.whisper.whisper_presets import backbone_presets
 from keras_nlp.tokenizers.byte_pair_tokenizer import BytePairTokenizer
 from keras_nlp.utils.python_utils import classproperty
@@ -28,7 +28,7 @@ def _load_dict(dict_or_path):
     return dict_or_path
 
 
-@keras_nlp_export("keras_nlp.models.WhisperTokenizer")
+@keras.saving.register_keras_serializable(package="keras_nlp")
 class WhisperTokenizer(BytePairTokenizer):
     """Whisper text tokenizer using Byte-Pair Encoding subword segmentation.
 

keras_nlp/models/xlnet/xlnet_backbone.py

@@ -12,7 +12,6 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from keras_nlp.api_export import keras_nlp_export
 from keras_nlp.backend import keras
 from keras_nlp.models.backbone import Backbone
 from keras_nlp.models.xlnet.xlnet_content_and_query_embedding import (
@@ -23,7 +22,7 @@
 from keras_nlp.models.xlnet.xlnet_encoder import XLNetSegmentMatrixLayer
 
 
-@keras_nlp_export("keras_nlp.models.XLNetBackbone")
+@keras.saving.register_keras_serializable(package="keras_nlp")
 class XLNetBackbone(Backbone):
     """XLNet encoder network.