Revisions of tensorflow-lite

buildservice-autocommit accepted request 1119425 from Guillaume GARDET's avatar Guillaume GARDET (Guillaume_G) (revision 8)
baserev update by copy to link target
Guillaume GARDET's avatar Guillaume GARDET (Guillaume_G) accepted request 1118915 from Daniel Garcia's avatar Daniel Garcia (dgarcia) (revision 7)
- Don't use `=` in %python3_install macro parameters to avoid parsing
  problems with future changes of the macro expasion.
  See gh#openSUSE/python-rpm-macros#164
buildservice-autocommit accepted request 1090946 from Guillaume GARDET's avatar Guillaume GARDET (Guillaume_G) (revision 6)
baserev update by copy to link target
Guillaume GARDET's avatar Guillaume GARDET (Guillaume_G) accepted request 1090945 from Guillaume GARDET's avatar Guillaume GARDET (Guillaume_G) (revision 5)
- Use gcc12 to build since build fails with default gcc (13)
buildservice-autocommit accepted request 1005092 from Benjamin Greiner's avatar Benjamin Greiner (bnavigator) (revision 4)
baserev update by copy to link target
Benjamin Greiner's avatar Benjamin Greiner (bnavigator) accepted request 1005091 from Benjamin Greiner's avatar Benjamin Greiner (bnavigator) (revision 3)
- Update to 2.10.0
  * boo#1203507 (CVE-2022-35934)
- Breaking Changes
  * Causal attention in keras.layers.Attention and
    keras.layers.AdditiveAttention is now specified in the call()
    method via the use_causal_mask argument (rather than in the
    constructor), for consistency with other layers.
  * Some files in tensorflow/python/training have been moved to
    tensorflow/python/tracking and tensorflow/python/checkpoint.
    Please update your imports accordingly, the old files will be
    removed in Release 2.11.
  * tf.keras.optimizers.experimental.Optimizer will graduate in
    Release 2.11, which means tf.keras.optimizers.Optimizer will
    be an alias of tf.keras.optimizers.experimental.Optimizer. The
    current tf.keras.optimizers.Optimizer will continue to be
    supported as tf.keras.optimizers.legacy.Optimizer,
    e.g.,tf.keras.optimizers.legacy.Adam. Most users won't be
    affected by this change, but please check the API doc if any
    API used in your workflow is changed or deprecated, and make
    adaptions. If you decide to keep using the old optimizer,
    please explicitly change your optimizer to
    tf.keras.optimizers.legacy.Optimizer.
  * RNG behavior change for tf.keras.initializers. Keras
    initializers will now use stateless random ops to generate
    random numbers.
    - Both seeded and unseeded initializers will always generate
      the same values every time they are called (for a given
      variable shape). For unseeded initializers (seed=None), a
      random seed will be created and assigned at initializer
      creation (different initializer instances get different
Dominique Leuenberger's avatar Dominique Leuenberger (dimstar_suse) accepted request 979862 from Benjamin Greiner's avatar Benjamin Greiner (bnavigator) (revision 2)
initialized devel package after accepting 979862
Guillaume GARDET's avatar Guillaume GARDET (Guillaume_G) accepted request 979585 from Benjamin Greiner's avatar Benjamin Greiner (bnavigator) (revision 1)
- tensorflow2 has been removed from Tumbleweed. Provide a separate
  Tensorflow Lite package in version 2.9.1
- Now includes the tflite_runtime python3 package
- Add tensorflow-lite-cmake-find-python.patch
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