Revisions of tensorflow-lite
buildservice-autocommit
accepted
request 1119425
from
Guillaume GARDET (Guillaume_G)
(revision 8)
baserev update by copy to link target
Guillaume GARDET (Guillaume_G)
accepted
request 1118915
from
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 (Guillaume_G)
(revision 6)
baserev update by copy to link target
Guillaume GARDET (Guillaume_G)
accepted
request 1090945
from
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 (bnavigator)
(revision 4)
baserev update by copy to link target
Benjamin Greiner (bnavigator)
accepted
request 1005091
from
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 (dimstar_suse)
accepted
request 979862
from
Benjamin Greiner (bnavigator)
(revision 2)
initialized devel package after accepting 979862
Guillaume GARDET (Guillaume_G)
accepted
request 979585
from
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
Displaying all 8 revisions