Tensorflow Hub Versions Save

Release 0.16.1

• Require tf-keras to be installed

Release 0.16.0

• Enforce using Keras 2 by checking for installation of tf_keras
• Remove deprecated TF 1 API (LatestModuleExporter, register_module_for_export, ...)

Release 0.15.0

• Require Python 3.9+.
• Bump rules_license to 0.0.4.
• Move LICENSE to tensorflow_hub/LICENSE.
• Use license_files instead of license_file in setup.cfg.
• Remove empty tools directory.

Release 0.14.0

• Remove make_image_classifier and make_nearest_neighbour_index.
• Directly load https://hub.tensorflow.google.cn/* handles from GCS.

Release 0.13.0

• Minor fixes for importing Keras and TF Estimator.
• Stop using distutils.version.
• Require protobuf >= 3.19.6.
• Require Python 3.7+.

Release 0.12.0

• Improve support for compute_output_shape in hub.KerasLayer:
  • This will now use the output_shape value provided on init, if present, before falling back to the default behavior.
• Changes to make_image_classifier_tool:
  • Add the option to read input with a tf.data.Dataset and use TF ops for preprocessing. Enabling this feature requires TF 2.5 or higher.
  • Set the default value of shear_range to 0. shear_range is deprecated and incompatible when using TF ops for preprocessing.

• Use the Keras load context in keras_layer.py.
• Always use compressed model loading by default.
• Documentation improvements.

• Enforce Python 3.5+ and TF1.15+.
• Add ModelLoadFormat setting to switch between (un)compressed model loading.
• Support for RaggedTensor inputs/outputs is backported from TF2 SavedModels to the deprecated hub.Module class (Use of tf.compat.v1.ragged.placeholder() in a module_fn is broken for TF2.3 and requires TF2.2 or TF2.4).
• Bug fixes.

Release 0.9.0

• Add SavedModel.LoadOptions to hub.KerasLayer API to pass to load_v2.
• Improved error messaging.
• Documentation improvements.
• Bug fixes.

Release 0.8.0

• Implemented make_nearest_neighbour_index tool.
• Added text FeatureColumn, hub.text_embedding_column_v2, for TF 2.x.
• CORD-19 embedding colab.
• Documentation improvements.
• Bug fixes.