Initial change for Keras Hub

.github/workflows/publish-hub-to-pypi.yml

@@ -0,0 +1,43 @@
+name: Publish Hub to PyPI
+
+on:
+  push:
+    branches:
+      - keras-hub
+
+permissions:
+  contents: read
+
+jobs:
+  build-and-publish:
+    name: Build and publish Hub to PyPI
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: 3.9
+      - name: Get pip cache dir
+        id: pip-cache
+        run: |
+          python -m pip install --upgrade pip setuptools
+          echo "::set-output name=dir::$(pip cache dir)"
+      - name: pip cache
+        uses: actions/cache@v4
+        with:
+          path: ${{ steps.pip-cache.outputs.dir }}
+          key: ${{ runner.os }}-pip-${{ hashFiles('setup.py') }}
+          restore-keys: |
+            ${{ runner.os }}-pip-
+      - name: Install dependencies
+        run: |
+            pip install -r requirements.txt --progress-bar off
+      - name: Build a binary wheel and a source tarball
+        run: >-
+          python pip_build.py
+      - name: Publish distribution to PyPI
+        uses: pypa/gh-action-pypi-publish@release/v1
+        with:
+          user: __token__
+          password: ${{ secrets.PYPI_API_TOKEN_HUB }}

keras_nlp/api/__init__.py

@@ -17,6 +17,7 @@
 since your modifications would be overwritten.
 """
 
+from keras_nlp.api import bounding_box
 from keras_nlp.api import layers
 from keras_nlp.api import metrics
 from keras_nlp.api import models

keras_nlp/api/bounding_box/__init__.py

@@ -0,0 +1,36 @@
+# Copyright 2024 The KerasNLP Authors
+#
+# 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
+#
+#     https://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.
+"""DO NOT EDIT.
+
+This file was autogenerated. Do not edit it by hand,
+since your modifications would be overwritten.
+"""
+
+from keras_nlp.src.bounding_box.converters import convert_format
+from keras_nlp.src.bounding_box.formats import CENTER_XYWH
+from keras_nlp.src.bounding_box.formats import REL_XYWH
+from keras_nlp.src.bounding_box.formats import REL_XYXY
+from keras_nlp.src.bounding_box.formats import REL_YXYX
+from keras_nlp.src.bounding_box.formats import XYWH
+from keras_nlp.src.bounding_box.formats import XYXY
+from keras_nlp.src.bounding_box.formats import YXYX
+from keras_nlp.src.bounding_box.iou import compute_ciou
+from keras_nlp.src.bounding_box.iou import compute_iou
+from keras_nlp.src.bounding_box.to_dense import to_dense
+from keras_nlp.src.bounding_box.to_ragged import to_ragged
+from keras_nlp.src.bounding_box.utils import as_relative
+from keras_nlp.src.bounding_box.utils import clip_boxes
+from keras_nlp.src.bounding_box.utils import clip_to_image
+from keras_nlp.src.bounding_box.utils import is_relative
+from keras_nlp.src.bounding_box.validate_format import validate_format

keras_nlp/api/layers/__init__.py

@@ -53,6 +53,9 @@
 from keras_nlp.src.models.pali_gemma.pali_gemma_image_converter import (
     PaliGemmaImageConverter,
 )
+from keras_nlp.src.models.resnet.resnet_image_converter import (
+    ResNetImageConverter,
+)
 from keras_nlp.src.models.whisper.whisper_audio_converter import (
     WhisperAudioConverter,
 )

keras_nlp/api/models/__init__.py

@@ -66,6 +66,12 @@
 from keras_nlp.src.models.bloom.bloom_tokenizer import BloomTokenizer
 from keras_nlp.src.models.causal_lm import CausalLM
 from keras_nlp.src.models.causal_lm_preprocessor import CausalLMPreprocessor
+from keras_nlp.src.models.csp_darknet.csp_darknet_backbone import (
+    CSPDarkNetBackbone,
+)
+from keras_nlp.src.models.csp_darknet.csp_darknet_image_classifier import (
+    CSPDarkNetImageClassifier,
+)
 from keras_nlp.src.models.deberta_v3.deberta_v3_backbone import (
     DebertaV3Backbone,
 )
@@ -90,6 +96,10 @@
 from keras_nlp.src.models.deberta_v3.deberta_v3_tokenizer import (
     DebertaV3Tokenizer,
 )
+from keras_nlp.src.models.densenet.densenet_backbone import DenseNetBackbone
+from keras_nlp.src.models.densenet.densenet_image_classifier import (
+    DenseNetImageClassifier,
+)
 from keras_nlp.src.models.distil_bert.distil_bert_backbone import (
     DistilBertBackbone,
 )
@@ -114,6 +124,9 @@
 from keras_nlp.src.models.distil_bert.distil_bert_tokenizer import (
     DistilBertTokenizer,
 )
+from keras_nlp.src.models.efficientnet.efficientnet_backbone import (
+    EfficientNetBackbone,
+)
 from keras_nlp.src.models.electra.electra_backbone import ElectraBackbone
 from keras_nlp.src.models.electra.electra_tokenizer import ElectraTokenizer
 from keras_nlp.src.models.f_net.f_net_backbone import FNetBackbone
@@ -138,6 +151,7 @@
     FalconCausalLMPreprocessor,
 )
 from keras_nlp.src.models.falcon.falcon_tokenizer import FalconTokenizer
+from keras_nlp.src.models.feature_pyramid_backbone import FeaturePyramidBackbone
 from keras_nlp.src.models.gemma.gemma_backbone import GemmaBackbone
 from keras_nlp.src.models.gemma.gemma_causal_lm import GemmaCausalLM
 from keras_nlp.src.models.gemma.gemma_causal_lm_preprocessor import (
@@ -157,6 +171,10 @@
     GPTNeoXCausalLMPreprocessor,
 )
 from keras_nlp.src.models.gpt_neo_x.gpt_neo_x_tokenizer import GPTNeoXTokenizer
+from keras_nlp.src.models.image_classifier import ImageClassifier
+from keras_nlp.src.models.image_classifier_preprocessor import (
+    ImageClassifierPreprocessor,
+)
 from keras_nlp.src.models.llama3.llama3_backbone import Llama3Backbone
 from keras_nlp.src.models.llama3.llama3_causal_lm import Llama3CausalLM
 from keras_nlp.src.models.llama3.llama3_causal_lm_preprocessor import (
@@ -177,6 +195,16 @@
     MistralCausalLMPreprocessor,
 )
 from keras_nlp.src.models.mistral.mistral_tokenizer import MistralTokenizer
+from keras_nlp.src.models.mix_transformer.mix_transformer_backbone import (
+    MiTBackbone,
+)
+from keras_nlp.src.models.mix_transformer.mix_transformer_classifier import (
+    MiTImageClassifier,
+)
+from keras_nlp.src.models.mobilenet.mobilenet_backbone import MobileNetBackbone
+from keras_nlp.src.models.mobilenet.mobilenet_image_classifier import (
+    MobileNetImageClassifier,
+)
 from keras_nlp.src.models.opt.opt_backbone import OPTBackbone
 from keras_nlp.src.models.opt.opt_causal_lm import OPTCausalLM
 from keras_nlp.src.models.opt.opt_causal_lm_preprocessor import (
@@ -202,6 +230,13 @@
 )
 from keras_nlp.src.models.phi3.phi3_tokenizer import Phi3Tokenizer
 from keras_nlp.src.models.preprocessor import Preprocessor
+from keras_nlp.src.models.resnet.resnet_backbone import ResNetBackbone
+from keras_nlp.src.models.resnet.resnet_image_classifier import (
+    ResNetImageClassifier,
+)
+from keras_nlp.src.models.resnet.resnet_image_classifier_preprocessor import (
+    ResNetImageClassifierPreprocessor,
+)
 from keras_nlp.src.models.roberta.roberta_backbone import RobertaBackbone
 from keras_nlp.src.models.roberta.roberta_masked_lm import RobertaMaskedLM
 from keras_nlp.src.models.roberta.roberta_masked_lm_preprocessor import (
@@ -230,6 +265,9 @@
 from keras_nlp.src.models.text_classifier_preprocessor import (
     TextClassifierPreprocessor,
 )
+from keras_nlp.src.models.vgg.vgg_backbone import VGGBackbone
+from keras_nlp.src.models.vgg.vgg_image_classifier import VGGImageClassifier
+from keras_nlp.src.models.vit_det.vit_det_backbone import ViTDetBackbone
 from keras_nlp.src.models.whisper.whisper_backbone import WhisperBackbone
 from keras_nlp.src.models.whisper.whisper_tokenizer import WhisperTokenizer
 from keras_nlp.src.models.xlm_roberta.xlm_roberta_backbone import (

keras_nlp/src/api_export.py

@@ -24,6 +24,11 @@
 
 def maybe_register_serializable(symbol):
     if isinstance(symbol, types.FunctionType) or hasattr(symbol, "get_config"):
+        # We register twice, first with the old name, second with the new name,
+        # so loading still works under the old name.
+        # TODO replace compat_package_name with keras-nlp after rename.
+        compat_name = "compat_package_name"
+        keras.saving.register_keras_serializable(package=compat_name)(symbol)
         keras.saving.register_keras_serializable(package="keras_nlp")(symbol)
 
 

keras_nlp/src/bounding_box/__init__.py

@@ -0,0 +1,13 @@
+# Copyright 2024 The KerasNLP Authors
+#
+# 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
+#
+#     https://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.