Keras-core

Highlights
* Add ops `keras.random.shuffle`, `keras.ops.image.map_coordinates`
* Add support for `tf.SparseTensor` with TensorFlow backend (same level of support as legacy `tf.keras`)
* Make `Discretization` layer backend agnostic
* Bug fixes and performance improvements (in particular significantly reduced memory usage during training for JAX)

What's Changed
* Make jax2tf import conditional by nkovela1 in https://github.com/keras-team/keras-core/pull/911
* Separate the metrics variables from non-trainable variables. by qlzh727 in https://github.com/keras-team/keras-core/pull/910
* Update jax trainer function to save memory buffer. by qlzh727 in https://github.com/keras-team/keras-core/pull/897
* [GHA] fix several codecov issues by kiukchung in https://github.com/keras-team/keras-core/pull/912
* Add example to fine-tune TorchVision models using Keras by soumik12345 in https://github.com/keras-team/keras-core/pull/909
* Refactor merging layers tests as parametrized tests. by hertschuh in https://github.com/keras-team/keras-core/pull/913
* Add `ops.random.shuffle` by james77777778 in https://github.com/keras-team/keras-core/pull/907
* Add `ops.map_coordinates` by james77777778 in https://github.com/keras-team/keras-core/pull/906
* Makes `ops.split` in torch consistent with other backends by james77777778 in https://github.com/keras-team/keras-core/pull/914
* Add: `MultipleChoice with Transfer Learning` example by awsaf49 in https://github.com/keras-team/keras-core/pull/884
* Update test_case.py by PatReis in https://github.com/keras-team/keras-core/pull/917
* Fix JAX RNN backend issue. by qlzh727 in https://github.com/keras-team/keras-core/pull/924
* Adds JAX version checking for Export by nkovela1 in https://github.com/keras-team/keras-core/pull/923
* make discretization backend agnostic by divyashreepathihalli in https://github.com/keras-team/keras-core/pull/896
* Memory optimization for jax trainer. by qlzh727 in https://github.com/keras-team/keras-core/pull/888
* [*.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras-core/pull/921
* Fix the inconsistency in `affine_transform` between numpy and jax by james77777778 in https://github.com/keras-team/keras-core/pull/926
* Add support for Tensorflow SparseTensors: merging layers. by hertschuh in https://github.com/keras-team/keras-core/pull/925
* fix torch error for bincount by divyashreepathihalli in https://github.com/keras-team/keras-core/pull/927
* Refactor torch's `affine_transform` by james77777778 in https://github.com/keras-team/keras-core/pull/929
* Increase test coverage + Fix `save_model_to_hdf5` + Improve `is_remote_path` + Fix `is_remote_path` by Faisal-Alsrheed in https://github.com/keras-team/keras-core/pull/900
* Slice serialization by gleize in https://github.com/keras-team/keras-core/pull/932
* Some dtype fixes by fchollet in https://github.com/keras-team/keras-core/pull/935
* Hacky fix for dictionary output with tf 2.14 by mattdangerw in https://github.com/keras-team/keras-core/pull/933

New Contributors
* awsaf49 made their first contribution in https://github.com/keras-team/keras-core/pull/884
* PatReis made their first contribution in https://github.com/keras-team/keras-core/pull/917
* SamuelMarks made their first contribution in https://github.com/keras-team/keras-core/pull/921

**Full Changelog**: https://github.com/keras-team/keras-core/compare/v0.1.6...v0.1.7

Highlights
* Performance optimizations in normalization layers
* New op: `ops.nn.moments`
* Add `TorchModuleWrapper` to make it possible to use PyTorch Modules in Keras Core models with the PyTorch backend. Modules added as attributes of a layer are automatically wrapped (so that their weights are tracked).
* Add `ignore_class` argument in `SparseCategoricalCrossentropy`.
* Add new experimental data parallel and model parallel distribution API for JAX.

What's Changed
* Fix where op by AakashKumarNain in https://github.com/keras-team/keras-core/pull/770
* Add skeleton for the common distribution backend. by qlzh727 in https://github.com/keras-team/keras-core/pull/765
* Add more H5 backwards compatibility tests and lambda support by nkovela1 in https://github.com/keras-team/keras-core/pull/775
* Add implementation for Distribution API by qlzh727 in https://github.com/keras-team/keras-core/pull/776
* Removes `tf.keras` from transposed conv test by sampathweb in https://github.com/keras-team/keras-core/pull/782
* Fix channels_first format bug for rescaling layer by haifeng-jin in https://github.com/keras-team/keras-core/pull/792
* Fix argument order in stft and istft by james77777778 in https://github.com/keras-team/keras-core/pull/790
* fixed squeeze axis inconsistency by jackd in https://github.com/keras-team/keras-core/pull/788
* Replace `tf.data` with `tf_data` in preprocessing tests by sampathweb in https://github.com/keras-team/keras-core/pull/787
* Reimplement the data parallel distribution. by qlzh727 in https://github.com/keras-team/keras-core/pull/785
* Split fix by jackd in https://github.com/keras-team/keras-core/pull/789
* Fix bug: Softmax function to support tuple axes + Add more tests by Faisal-Alsrheed in https://github.com/keras-team/keras-core/pull/778
* Add LayoutMap which will be used for model parallelism by qlzh727 in https://github.com/keras-team/keras-core/pull/793
* Fix bug: Log_Softmax with tuple axes + Add tests by Faisal-Alsrheed in https://github.com/keras-team/keras-core/pull/794
* Port tab transformer example to keras core by anas-rz in https://github.com/keras-team/keras-core/pull/621
* Update example losses on docstrings by Frightera in https://github.com/keras-team/keras-core/pull/795
* Add model parallel distribution. by qlzh727 in https://github.com/keras-team/keras-core/pull/797
* Increase-test-coverage-in-activations_test.py by Faisal-Alsrheed in https://github.com/keras-team/keras-core/pull/799
* add ignore_class param to sparse CE loss by AakashKumarNain in https://github.com/keras-team/keras-core/pull/599
* Convert pretraining_BERT.py example to keras core by pranavvp16 in https://github.com/keras-team/keras-core/pull/801
* fixed apply_mask bug in losses by jackd in https://github.com/keras-team/keras-core/pull/802
* Replace `tf.keras` in center-crop and resize tests by sampathweb in https://github.com/keras-team/keras-core/pull/804
* Add a check for class_id argument by Frightera in https://github.com/keras-team/keras-core/pull/796
* Add a dummy init for distribution, so it will be treat as a package. by qlzh727 in https://github.com/keras-team/keras-core/pull/809
* Allow test using dynamic shapes to run on JAX. by hertschuh in https://github.com/keras-team/keras-core/pull/810
* Keep "mse" as the metric name in the log by haifeng-jin in https://github.com/keras-team/keras-core/pull/812
* Fixed misc mixed precision issues by mattdangerw in https://github.com/keras-team/keras-core/pull/805
* Don't double cast layer norm weights in mixed precision by mattdangerw in https://github.com/keras-team/keras-core/pull/815
* Add `loss` attribute for backward compatibility by haifeng-jin in https://github.com/keras-team/keras-core/pull/813
* Add `TorchModuleWrapper` by soumik12345 in https://github.com/keras-team/keras-core/pull/779
* Make sure the Test CI action fails on bad lint by kiukchung in https://github.com/keras-team/keras-core/pull/818
* Format confusion_metrics_test by mattdangerw in https://github.com/keras-team/keras-core/pull/821
* Fix the Jax distributed variable load issue. by qlzh727 in https://github.com/keras-team/keras-core/pull/817
* Always save the build config when building a layer by mattdangerw in https://github.com/keras-team/keras-core/pull/820
* Uses `backend.shape` in random preprocessing by sampathweb in https://github.com/keras-team/keras-core/pull/822
* Don't lock functional models by mattdangerw in https://github.com/keras-team/keras-core/pull/823
* Refactor conv_transpose padding by guillaumebaquiast in https://github.com/keras-team/keras-core/pull/811
* Add rank>2 support for `stft` by james77777778 in https://github.com/keras-team/keras-core/pull/825
* Fix `reduce_shape` + Add tests to operation_utils_test.py by Faisal-Alsrheed in https://github.com/keras-team/keras-core/pull/826
* Fix weird broken test that never ran by mattdangerw in https://github.com/keras-team/keras-core/pull/827
* Convert "English-to-Spanish translation with KerasNLP" to keras-core by freedomtan in https://github.com/keras-team/keras-core/pull/777
* Replace assertTrue(isinstance(...)) with assertIsInstance for easier … by hertschuh in https://github.com/keras-team/keras-core/pull/831
* Improve the flexibility of `standardize_dtype` and fix `pad` in torch backend by james77777778 in https://github.com/keras-team/keras-core/pull/828
* Fix the distribution logic for the JAX trainer. by qlzh727 in https://github.com/keras-team/keras-core/pull/832
* Add a docstring for compile by mattdangerw in https://github.com/keras-team/keras-core/pull/838
* Enable codecov by kiukchung in https://github.com/keras-team/keras-core/pull/840
* Add support for Tensorflow SparseTensors: core classes. by hertschuh in https://github.com/keras-team/keras-core/pull/839
* bert-mlm port to keras-core with tf backend by Mrutyunjay01 in https://github.com/keras-team/keras-core/pull/843
* Enable codecov flags and coverage carryover for keras_core and keras_… by kiukchung in https://github.com/keras-team/keras-core/pull/841
* Update minimum python version to 3.9 to align with TF/JAX by sampathweb in https://github.com/keras-team/keras-core/pull/848
* Update the eager_build logic for jax trainer. by qlzh727 in https://github.com/keras-team/keras-core/pull/845
* Update return type for optimizer.apply by mattdangerw in https://github.com/keras-team/keras-core/pull/850
* Add test,codecov,pypi status badges to README by kiukchung in https://github.com/keras-team/keras-core/pull/852
* Fix autocast scope again by mattdangerw in https://github.com/keras-team/keras-core/pull/849
* Add Export for JAX Backend by nkovela1 in https://github.com/keras-team/keras-core/pull/819
* Increase test coverage + Fixing bug in `static_call` by Faisal-Alsrheed in https://github.com/keras-team/keras-core/pull/847
* Add a loss scale optimizer by mattdangerw in https://github.com/keras-team/keras-core/pull/851
* Increase test coverage in `keras_core/utils` by Faisal-Alsrheed in https://github.com/keras-team/keras-core/pull/856
* Increase test coverage in `keras_core`/`trainers` by Faisal-Alsrheed in https://github.com/keras-team/keras-core/pull/860
* Add a note in README.md regarding pre-import of backend by SuryanarayanaY in https://github.com/keras-team/keras-core/pull/863
* Add optimizer weights to the model summary. by qlzh727 in https://github.com/keras-team/keras-core/pull/859
* Add support for Tensorflow SparseTensors: core layers. by hertschuh in https://github.com/keras-team/keras-core/pull/854
* Increase test coverage in `keras_core/backend` by Faisal-Alsrheed in https://github.com/keras-team/keras-core/pull/864
* Add support for Tensorflow SparseTensors: reshaping layers. by hertschuh in https://github.com/keras-team/keras-core/pull/865
* Respect the $KERAS_HOME environment variable for get_file by mattdangerw in https://github.com/keras-team/keras-core/pull/868
* Don't convert int array input to floatx by mattdangerw in https://github.com/keras-team/keras-core/pull/867
* `run_layer_test` also runs symbolic calls when `input_data` is provided. by hertschuh in https://github.com/keras-team/keras-core/pull/870
* Increase test coverage in utils + Fix Bug in `cast_to_common_dtype` by Faisal-Alsrheed in https://github.com/keras-team/keras-core/pull/875
* Fix `stop_gradient` in np by james77777778 in https://github.com/keras-team/keras-core/pull/872
* Add sparseness inference for TensorFlow backend ops and base layer. by hertschuh in https://github.com/keras-team/keras-core/pull/878
* Fix summary when optimizer is None by mattdangerw in https://github.com/keras-team/keras-core/pull/879
* Add `ops.nn.moments` and speed-up normalization layers by james77777778 in https://github.com/keras-team/keras-core/pull/866
* Don't show optimizer params if not optimizer or not built by mattdangerw in https://github.com/keras-team/keras-core/pull/885
* Export dtype utils in `keras_core.backend` by mattdangerw in https://github.com/keras-team/keras-core/pull/886
* Set actions.yml to run with read-only permissions by pnacht in https://github.com/keras-team/keras-core/pull/882
* Fix `model.save` API for legacy H5 format by nkovela1 in https://github.com/keras-team/keras-core/pull/891
* Add missing dtypes. by gleize in https://github.com/keras-team/keras-core/pull/887
* Increase tests in `utils` by Faisal-Alsrheed in https://github.com/keras-team/keras-core/pull/880
* syntax fix in cct example by anas-rz in https://github.com/keras-team/keras-core/pull/898
* Use `ops.rsqrt`, improve normalization layers and enable ops fusion in tflite by james77777778 in https://github.com/keras-team/keras-core/pull/892
* fixes 550: move torch tensors to cpu before to numpy array by dkgaraujo in https://github.com/keras-team/keras-core/pull/853

New Contributors
* kiukchung made their first contribution in https://github.com/keras-team/keras-core/pull/818
* Mrutyunjay01 made their first contribution in https://github.com/keras-team/keras-core/pull/843
* SuryanarayanaY made their first contribution in https://github.com/keras-team/keras-core/pull/863
* pnacht made their first contribution in https://github.com/keras-team/keras-core/pull/882
* gleize made their first contribution in https://github.com/keras-team/keras-core/pull/887
* dkgaraujo made their first contribution in https://github.com/keras-team/keras-core/pull/853

**Full Changelog**: https://github.com/keras-team/keras-core/compare/v0.1.5...v0.1.6

Highlights
* Add `model.export()` flow.
* Add ops `rsqrt`, `extract_sequences`, `rfft`, `stft`, `irfft`, `istft`.
* Bug fixes and performance improvements.
* `ops.shape` now returns a tuple with all backends (rather than a TF tensor with the TF backend). The tuple may contain scalar tensors for dynamic dimensions, and contains integers otherwise for static dimensions.

What's Changed
* Ensure backwards compatibility for legacy H5 saving format by nkovela1 in https://github.com/keras-team/keras-core/pull/682
* Encapsulate build logic by grasskin in https://github.com/keras-team/keras-core/pull/679
* Fix the --install arg doesn't work by haifeng-jin in https://github.com/keras-team/keras-core/pull/686
* Convert to tensor for jax ops.numpy.transpose by mattdangerw in https://github.com/keras-team/keras-core/pull/687
* Fix custom functional reload issue by fchollet in https://github.com/keras-team/keras-core/pull/693
* Update the softmax default to axis=-1 by mattdangerw in https://github.com/keras-team/keras-core/pull/694
* Random Flip for batched inputs by guillaumebaquiast in https://github.com/keras-team/keras-core/pull/698
* Fix TextVectorization + Sequential bug by fchollet in https://github.com/keras-team/keras-core/pull/696
* Add Export for TF backend by nkovela1 in https://github.com/keras-team/keras-core/pull/692
* Fix typo in WhileLoop docstring in core.py by Faisal-Alsrheed in https://github.com/keras-team/keras-core/pull/703
* Add activation docstrings // ops.nn.py by Frightera in https://github.com/keras-team/keras-core/pull/705
* Remove tf dependency from math_test by Frightera in https://github.com/keras-team/keras-core/pull/706
* Little cleanup in backend - config.py / export.py by Frightera in https://github.com/keras-team/keras-core/pull/709
* Fix Issue in SegmentMax's Symbolic Call in keras_core/ops/math.py by Faisal-Alsrheed in https://github.com/keras-team/keras-core/pull/713
* Replace `tf.keras` for expected result in Conv1D Test by sampathweb in https://github.com/keras-team/keras-core/pull/725
* Add some additional H5 saving test coverage by nkovela1 in https://github.com/keras-team/keras-core/pull/724
* Always return a tuple from ops.shape by mattdangerw in https://github.com/keras-team/keras-core/pull/722
* Only compute mean once in layernorm by mattdangerw in https://github.com/keras-team/keras-core/pull/721
* Add rsqrt to ops API by shivance in https://github.com/keras-team/keras-core/pull/708
* Fix position encoder in `examples/.../token_learner.py` by guillaumebaquiast in https://github.com/keras-team/keras-core/pull/727
* Support keras.Input in get_source_inputs by haifeng-jin in https://github.com/keras-team/keras-core/pull/732
* Convert cyclegan to keras-core by freedomtan in https://github.com/keras-team/keras-core/pull/728
* Add `rms_scaling` in LayerNormalization by shivance in https://github.com/keras-team/keras-core/pull/726
* Docstrings for numpy ops by FayazRahman in https://github.com/keras-team/keras-core/pull/714
* Add `extract_sequences`, `rfft` and `stft` to ops.math by james77777778 in https://github.com/keras-team/keras-core/pull/717
* Apply `scipy` LazyModule by james77777778 in https://github.com/keras-team/keras-core/pull/734
* Support torch symbolic call for normalization layer in preprocessing by haifeng-jin in https://github.com/keras-team/keras-core/pull/739
* Replace `tf.keras` with numpy for conv2d and conv3d tests by sampathweb in https://github.com/keras-team/keras-core/pull/740
* Enhanced Docstrings and Examples in /ops/function.py, /ops/math.py and /ops/nn.py. by Faisal-Alsrheed in https://github.com/keras-team/keras-core/pull/736
* Fixed uniqueness bug and bits->bytes by jackd in https://github.com/keras-team/keras-core/pull/747
* Add Examples to numpy.py functions by Faisal-Alsrheed in https://github.com/keras-team/keras-core/pull/745
* Use `convert_to_numpy` in `hashing` and tests by james77777778 in https://github.com/keras-team/keras-core/pull/748
* Convert ddim by freedomtan in https://github.com/keras-team/keras-core/pull/743
* Add `irfft` and `istft` by james77777778 in https://github.com/keras-team/keras-core/pull/742
* ported hashed-crossing by asingh9530 in https://github.com/keras-team/keras-core/pull/685
* Add a high level API for distribution for JAX backend. by qlzh727 in https://github.com/keras-team/keras-core/pull/741
* An attempt to add MPS device to torch backend by M7Saad in https://github.com/keras-team/keras-core/pull/750
* Remove `tf.keras` from depthwise and separable conv tests by sampathweb in https://github.com/keras-team/keras-core/pull/752
* Fix bug + Add Tests + Enhance docstrings (shape_equal) by Faisal-Alsrheed in https://github.com/keras-team/keras-core/pull/751
* Fix `standardize_shape` by james77777778 in https://github.com/keras-team/keras-core/pull/753
* Fix naming in `mobilenet_v3` and `densenet` by james77777778 in https://github.com/keras-team/keras-core/pull/759
* Enhance docstrings + easy to understand examples (nn.py) by Faisal-Alsrheed in https://github.com/keras-team/keras-core/pull/758
* Remove backend.DYNAMIC_SHAPES_OK as dynamic shapes are supported in a… by hertschuh in https://github.com/keras-team/keras-core/pull/763

New Contributors
* Faisal-Alsrheed made their first contribution in https://github.com/keras-team/keras-core/pull/703
* shivance made their first contribution in https://github.com/keras-team/keras-core/pull/708
* jackd made their first contribution in https://github.com/keras-team/keras-core/pull/747
* M7Saad made their first contribution in https://github.com/keras-team/keras-core/pull/750

**Full Changelog**: https://github.com/keras-team/keras-core/compare/v0.1.4...v0.1.5

Highlights
* Add `Lion` optimizer
* Enable `model.predict()` and `model.evaluate()` with the NumPy backend
* Add ops `cosh`, `sinh`, `arctanh`, `arcsinh`, `arccosh`
* Add ops `segment_max`, `digitize`
* Bug fixes and performance improvements

What's Changed
* Set min TF Version by sampathweb in https://github.com/keras-team/keras-core/pull/619
* Avoid some tree operations by haifeng-jin in https://github.com/keras-team/keras-core/pull/620
* Add Lion optimizer by james77777778 in https://github.com/keras-team/keras-core/pull/610
* Typo in layer tutorial by guillaumebaquiast in https://github.com/keras-team/keras-core/pull/624
* fix load of models with Add and Concat layers by freedomtan in https://github.com/keras-team/keras-core/pull/626
* Port/test learnable resizer to keras core backend agnostic by anas-rz in https://github.com/keras-team/keras-core/pull/622
* Port fixres keras core by anas-rz in https://github.com/keras-team/keras-core/pull/630
* Only ignore xx_mask arguments for the build shapes dict by mattdangerw in https://github.com/keras-team/keras-core/pull/632
* Add numpy trainer by james77777778 in https://github.com/keras-team/keras-core/pull/633
* [split_dataset] migrating from tf.keras to keras_core by asingh9530 in https://github.com/keras-team/keras-core/pull/505
* Add hyperbolic ops by FayazRahman in https://github.com/keras-team/keras-core/pull/634
* Port visualizing what convnets learn by anas-rz in https://github.com/keras-team/keras-core/pull/640
* Port the `ImageClassifier` guide to `keras_core` by tirthasheshpatel in https://github.com/keras-team/keras-core/pull/608
* Port simsiam to keras-core by anas-rz in https://github.com/keras-team/keras-core/pull/644
* Fix the `ImageClassifier` demo and minimize the use of tensorflow by tirthasheshpatel in https://github.com/keras-team/keras-core/pull/645
* Port neural decision forest by anas-rz in https://github.com/keras-team/keras-core/pull/631
* Removes ref in Global Average Pool and Elu/Prelu Activations by sampathweb in https://github.com/keras-team/keras-core/pull/646
* Small fixes on `image.extract_patches` by guillaumebaquiast in https://github.com/keras-team/keras-core/pull/647
* Fix the missing weight name for Dense layer by qlzh727 in https://github.com/keras-team/keras-core/pull/648
* Update learning_rate type to float in learning_rate_scheduler's logs by siyavash in https://github.com/keras-team/keras-core/pull/649
* Performance improvement for MHA by haifeng-jin in https://github.com/keras-team/keras-core/pull/654
* Add digitize op for Discretization layer by abuelnasr0 in https://github.com/keras-team/keras-core/pull/641
* support passing `jax.random.PRNGKey` inputs in jax by GallagherCommaJack in https://github.com/keras-team/keras-core/pull/651
* Removes `tf.keras` from Pooling tests - Max, Average and Global pooling by sampathweb in https://github.com/keras-team/keras-core/pull/657
* Add numpy bincount docstrings by dranaivo in https://github.com/keras-team/keras-core/pull/655
* Add a segment_max op by ianstenbit in https://github.com/keras-team/keras-core/pull/660
* Port `mlp_image_classification.py` to all backends by guillaumebaquiast in https://github.com/keras-team/keras-core/pull/663
* update requirements for all cpu install by haifeng-jin in https://github.com/keras-team/keras-core/pull/666
* Random rotation port by kamathis4 in https://github.com/keras-team/keras-core/pull/584
* Port TensorFlow implementation of the `RandomCrop` layer by soumik12345 in https://github.com/keras-team/keras-core/pull/493
* Backend agnostic port of object detection using vit by soumik12345 in https://github.com/keras-team/keras-core/pull/668
* Remove `self.support_jit = False` in RandomFlip by james77777778 in https://github.com/keras-team/keras-core/pull/665
* Port Compact Convolutional Transformers to backend agnostic by guillaumebaquiast in https://github.com/keras-team/keras-core/pull/669
* Move mlp_image_classification to backend agnostic folder by guillaumebaquiast in https://github.com/keras-team/keras-core/pull/671
* Change saving API routing to deprecate SavedModel format by nkovela1 in https://github.com/keras-team/keras-core/pull/674
* Convert neural machine translation with transformer to keras-core by freedomtan in https://github.com/keras-team/keras-core/pull/623
* Make ner transformers work again by freedomtan in https://github.com/keras-team/keras-core/pull/675
* Do not default to __file__ root by grasskin in https://github.com/keras-team/keras-core/pull/678
* Convert "text generation with miniature gpt" to Keras Core by freedomtan in https://github.com/keras-team/keras-core/pull/676
* torch image added by asingh9530 in https://github.com/keras-team/keras-core/pull/659
* Added some docstrings ops/nn.py by Frightera in https://github.com/keras-team/keras-core/pull/677

New Contributors
* asingh9530 made their first contribution in https://github.com/keras-team/keras-core/pull/505
* FayazRahman made their first contribution in https://github.com/keras-team/keras-core/pull/634
* siyavash made their first contribution in https://github.com/keras-team/keras-core/pull/649
* abuelnasr0 made their first contribution in https://github.com/keras-team/keras-core/pull/641
* dranaivo made their first contribution in https://github.com/keras-team/keras-core/pull/655

**Full Changelog**: https://github.com/keras-team/keras-core/compare/v0.1.3...v0.1.4

Highlights

- Add compatibility with legacy whole-model `h5` saving and loading
- Add `keras_core.ops.fft` and `keras_core.ops.fft2`
- Add `keras_core.ops.image.affine_transform`
- Add `keras_core.ops.image.extract_patches`
- Bug fixes and performance improvements
- Now compatible with TensorFlow versions 2.8 to 2.13

What's Changed

* Add Nadam for torch backend by haifeng-jin in https://github.com/keras-team/keras-core/pull/551
* Fix multi-dimension sample weights passed to mean metrics by mattdangerw in https://github.com/keras-team/keras-core/pull/552
* Update operation_utils.py - Added docstrings by sqali in https://github.com/keras-team/keras-core/pull/514
* Node test by kamathis4 in https://github.com/keras-team/keras-core/pull/557
* Add `affine_transform` op to all backends by james77777778 in https://github.com/keras-team/keras-core/pull/477
* Add FFT Ops by abheesht17 in https://github.com/keras-team/keras-core/pull/480
* Added CategoryEncoding to keras_core.ops.nn by hazemessamm in https://github.com/keras-team/keras-core/pull/490
* Symbolic Args test by kamathis4 in https://github.com/keras-team/keras-core/pull/536
* Converted to Keras Core: DeepLabV3Plus by anas-rz in https://github.com/keras-team/keras-core/pull/545
* test and move backend agnostic example by anas-rz in https://github.com/keras-team/keras-core/pull/567
* Port few shot learning with reptile by anas-rz in https://github.com/keras-team/keras-core/pull/564
* Add some additional TF SavedModel tests by nkovela1 in https://github.com/keras-team/keras-core/pull/569
* Fixes Torch-GPU Test failure on initializers/random_initializers_test.py by sampathweb in https://github.com/keras-team/keras-core/pull/575
* Keras tensor functions by kamathis4 in https://github.com/keras-team/keras-core/pull/576
* add fori_loop op to all 3 backends by GallagherCommaJack in https://github.com/keras-team/keras-core/pull/462
* Fix Module Utils `_available` attribute by sampathweb in https://github.com/keras-team/keras-core/pull/579
* Add some docstrings to `keras_core/ops/numpy.py` by guillaumebaquiast in https://github.com/keras-team/keras-core/pull/558
* Add random seed support for torch dropout by haifeng-jin in https://github.com/keras-team/keras-core/pull/568
* Port Keypoint detection to backend agnostic-keras-core by anas-rz in https://github.com/keras-team/keras-core/pull/546
* Make random flip backend agnostic by AmedeoBiolatti in https://github.com/keras-team/keras-core/pull/515
* Convert RandomTranslation to the backend-agnostic implementation by james77777778 in https://github.com/keras-team/keras-core/pull/572
* doc: DocString for numpy.amax by pranavvp16 in https://github.com/keras-team/keras-core/pull/582
* Add backend-agnostic video transformers example by soumik12345 in https://github.com/keras-team/keras-core/pull/583
* Converted cutmix example to Keras Core by cosmo3769 in https://github.com/keras-team/keras-core/pull/527
* docString for numpy.amin by pranavvp16 in https://github.com/keras-team/keras-core/pull/586
* Update Tests for specific backend imports by sampathweb in https://github.com/keras-team/keras-core/pull/591
* implement patch extraction in ops by anas-rz in https://github.com/keras-team/keras-core/pull/581
* Converted to keras core external attention by anas-rz in https://github.com/keras-team/keras-core/pull/529
* Backend consistency in handling of empty tensor in `min` and `max` by guillaumebaquiast in https://github.com/keras-team/keras-core/pull/592
* Fix more spots torch != numpy for reductions by mattdangerw in https://github.com/keras-team/keras-core/pull/596
* Backend-agnostic port of Image classification with Vision Transformer by soumik12345 in https://github.com/keras-team/keras-core/pull/589
* More backend agnostic in cutmix and mixup file by cosmo3769 in https://github.com/keras-team/keras-core/pull/593
* Always install the correct version with pip_build by mattdangerw in https://github.com/keras-team/keras-core/pull/595
* Export ops.cond by AmedeoBiolatti in https://github.com/keras-team/keras-core/pull/577
* Convert pretrained word embeddings to Keras Core by freedomtan in https://github.com/keras-team/keras-core/pull/600
* port gcam backend agnostic by anas-rz in https://github.com/keras-team/keras-core/pull/601
* Converted NER with transformers example to keras_core by pranavvp16 in https://github.com/keras-team/keras-core/pull/594
* Add tf.keras backwards compat for nearly all non-experimental symbols by fchollet in https://github.com/keras-team/keras-core/pull/603
* Cache self.call() signature by haifeng-jin in https://github.com/keras-team/keras-core/pull/606
* Porting over changes to Torch and JAX keras-core distribution guides … by hertschuh in https://github.com/keras-team/keras-core/pull/607
* Improve `TensorFlowTrainer` compatibility for TF<2.9 by taehoonlee in https://github.com/keras-team/keras-core/pull/598
* Convert RandomZoom to backend-agnostic and improve `affine_transform` by james77777778 in https://github.com/keras-team/keras-core/pull/574
* Add the unstack operation to keras core by tirthasheshpatel in https://github.com/keras-team/keras-core/pull/597
* Port digit addition rnn example to keras-core by anas-rz in https://github.com/keras-team/keras-core/pull/614
* Set Jit compile only if Model supports it by sampathweb in https://github.com/keras-team/keras-core/pull/616
* Port big transfer to keras core by anas-rz in https://github.com/keras-team/keras-core/pull/615
* Implements H5 legacy saving for Keras Core by nkovela1 in https://github.com/keras-team/keras-core/pull/605
* Add docstrings in numpy by guillaumebaquiast in https://github.com/keras-team/keras-core/pull/617

New Contributors

* james77777778 made their first contribution in https://github.com/keras-team/keras-core/pull/477
* hazemessamm made their first contribution in https://github.com/keras-team/keras-core/pull/490
* GallagherCommaJack made their first contribution in https://github.com/keras-team/keras-core/pull/462
* guillaumebaquiast made their first contribution in https://github.com/keras-team/keras-core/pull/558
* AmedeoBiolatti made their first contribution in https://github.com/keras-team/keras-core/pull/515
* pranavvp16 made their first contribution in https://github.com/keras-team/keras-core/pull/582
* cosmo3769 made their first contribution in https://github.com/keras-team/keras-core/pull/527
* freedomtan made their first contribution in https://github.com/keras-team/keras-core/pull/600
* taehoonlee made their first contribution in https://github.com/keras-team/keras-core/pull/598

**Full Changelog**: https://github.com/keras-team/keras-core/compare/v0.1.2...v0.1.3

Bug fixes and performance improvements.

What's Changed
* Add adagrad for torch by haifeng-jin in https://github.com/keras-team/keras-core/pull/548
* Add adamax for torch by haifeng-jin in https://github.com/keras-team/keras-core/pull/549
* Converted UK Ireland accent recognition to work with Keras Core by fbadine in https://github.com/keras-team/keras-core/pull/537
* port actor_critic_cartpole to keras core by anas-rz in https://github.com/keras-team/keras-core/pull/542
* Resolve shape via ops in broadcast_to operation by sampathweb in https://github.com/keras-team/keras-core/pull/547

New Contributors
* fbadine made their first contribution in https://github.com/keras-team/keras-core/pull/537

**Full Changelog**: https://github.com/keras-team/keras-core/compare/v0.1.1...v0.1.2