Fix format and Update Vectorized Base to fix tf.data with non-TF backends #2323
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tirthasheshpatel
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Looks good, thanks @sampathweb! We can merge after the Kokoro run (just to make sure the fix doesn't add any new failures).
divyashreepathihalli
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Jan 30, 2024
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sampathweb
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* Move keras-cv markdown files to toplevel (#2291) Keras, KerasNLP and KerasTuner all store things liek the CONTRIBUTING.md in the toplevel of the repo. We should do the same here. * Add `version()` API to unify with Keras and KerasNLP (#2199) * Unify `version` API with keras and keras_nlp * Formatting * Update to keep `version` parity with KerasNLP, support nightly version string * Update version_utils.py * Update version_utils.py * Update random_crop_and_zoom.py (#2294) * Update random_crop_and_zoom.py * Update description * rename file * bug fix (#2303) * Add BASNet Segmentation Model (#2006) (#2271) * BASNet model initial code structure * adding test and initial preset details * adding comments * cleaning and formatting code * keras 3 support added * disabling preset test for BASNet * Fix image.shape type (#2305) Fixed image.shape issue for tensorflow backend * Create workflow for auto assignment of issues and for stale issues (#2313) * Create auto-assignment.yaml * Create auto-assignment.js * Create stale-issue-pr.yaml * Rename auto-assignment.yaml to auto-assignment.yml * Rename stale-issue-pr.yaml to stale-issue-pr.yml * Fix format and Update Vectorized Base (#2323) * Fix CI Test for Basnet OOM and PyCoCo Test Failure for JAX (#2322) * Reduce memory consumption for BasNet tests (#2325) --------- Co-authored-by: Matt Watson <1389937+mattdangerw@users.noreply.github.com> Co-authored-by: Gabriel Rasskin <43894452+grasskin@users.noreply.github.com> Co-authored-by: Sachin Prasad <sachinprasad@google.com> Co-authored-by: Haifeng Jin <5476582+haifeng-jin@users.noreply.github.com> Co-authored-by: Hamid Ali <hamidriasat@gmail.com> Co-authored-by: Tirth Patel <tirthasheshpatel@gmail.com>
yuvraj-wale
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tf.datawith Keras V3 #2298 of using tf.data with non-TF Backend in Keras3Only relevant changes are -
Tests on GPU will still fail for other reasons.