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RELEASE.md
the layer in every exception. * Introduce the `tf.compat.v1.keras.utils.track_tf1_style_variables` decorator, which enables using large classes of tf1-style variable_scope, `get_variable`, and `compat.v1.layer`-based components from within TF2 models running with TF2 behavior enabled. * `tf.data`: * tf.data service now supports auto-sharding. Users specify the sharding
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