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auto-assignment.yaml
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Allow Input to be optional to take None inputs, similar to what keras3 has. auto-assignment #185: Pull request #867 opened by copybara-service bot
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Skip None when inference shape when layer has None Input. auto-assignment #184: Pull request #866 opened by copybara-service bot
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an internal change auto-assignment #183: Pull request #865 opened by copybara-service bot
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Update rules_python to v1.6 in tf_keras. auto-assignment #182: Pull request #864 opened by copybara-service bot
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Update tf_keras Nightly Version to 2.21.0 auto-assignment #181: Pull request #863 opened by copybara-service bot
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Split source package and wheel build. auto-assignment #180: Pull request #862 opened by copybara-service bot
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Patch version 0.20.1 auto-assignment #179: Pull request #861 opened by sachinprasadhs
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Add hour as a suffix to the wheel name. auto-assignment #178: Pull request #860 opened by copybara-service bot
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Reformat code that doesn't follow the standard. auto-assignment #177: Pull request #859 opened by copybara-service bot
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Add sample weight support; pass training=True in SAM's train_step to support layers like BatchNorm and Dropout. auto-assignment #176: Pull request #858 opened by copybara-service bot
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Release for Tensorflow 2.20.0? auto-assignment #175: Issue #857 opened by Oblynx
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Update callbacks.py auto-assignment #174: Pull request #856 opened by franklin5
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Major tf-keras update: auto-assignment #173: Pull request #855 opened by copybara-service bot
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Update version to 2.19.1 auto-assignment #172: Pull request #854 opened by rtg0795
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Update protobuf version for tf-keras. auto-assignment #171: Pull request #853 opened by copybara-service bot
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Add rng_type to BaseRandomLayer.get_config(). auto-assignment #170: Pull request #852 opened by copybara-service bot
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Backport implementation of precision-recall gain AUC (Keras PR #21370) auto-assignment #169: Pull request #851 opened by iazzi
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Bump protobuf from 4.21.6 to 4.25.8 auto-assignment #168: Pull request #850 opened by dependabot bot
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Disallow pickle loading in npz files. auto-assignment #167: Pull request #849 opened by copybara-service bot
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Inconsistent results when running tf.keras.layers.InputLayer auto-assignment #166: Issue #848 opened by sjh0849
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tf.keras.losses.SparseCategoricalCrossentropy has logical/Doc bug auto-assignment #165: Issue #847 opened by sjh0849
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tf.keras.losses.SparseCategoricalCrossentropy has logical/Doc bug auto-assignment #164: Issue #846 opened by shinjh0849
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Initial implementation of PR-gain AUC metrics based on http://people.cs.bris.ac.uk/~flach/PRGcurves/PRcurves.pdf auto-assignment #163: Pull request #845 opened by copybara-service bot
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Assert dimension consistency even without label weights auto-assignment #162: Pull request #844 opened by copybara-service bot
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Adds support for Call-Context Arguments auto-assignment #161: Pull request #843 opened by copybara-service bot
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