Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Update keras to 3.5.0 #495

Closed
wants to merge 1 commit into from
Closed

Update keras to 3.5.0 #495

wants to merge 1 commit into from

Conversation

pyup-bot
Copy link
Collaborator

This PR updates keras from 2.2.5 to 3.5.0.

Changelog

3.5.0

What's Changed

* Add integration with the Hugging Face Hub. You can now save models to Hugging Face Hub directly from `keras.Model.save()` and load `.keras` models directly from Hugging Face Hub with `keras.saving.load_model()`.
* Ensure compatibility with NumPy 2.0.
* Add `keras.optimizers.Lamb` optimizer.
* Improve `keras.distribution` API support for very large models.
* Add `keras.ops.associative_scan` op.
* Add `keras.ops.searchsorted` op.
* Add `keras.utils.PyDataset.on_epoch_begin()` method.
* Add `data_format` argument to `keras.layers.ZeroPadding1D` layer. 
* Bug fixes and performance improvements.


**Full Changelog**: https://github.com/keras-team/keras/compare/v3.4.1...v3.5.0

3.4.1

This is a minor bugfix release.

3.4.0

Highlights

- Add support for arbitrary, deeply nested input/output structures in Functional models (e.g. dicts of dicts of lists of inputs or outputs...)
- Add support for optional Functional inputs.
- Introduce `keras.dtype_policies.DTypePolicyMap` for easy configuration of dtype policies of nested sublayers of a subclassed layer/model.
- New ops:
- `keras.ops.argpartition`
- `keras.ops.scan`
- `keras.ops.lstsq`
- `keras.ops.switch`
- `keras.ops.dtype`
- `keras.ops.map`
- `keras.ops.image.rgb_to_hsv`
- `keras.ops.image.hsv_to_rgb`

What's changed

- Add support for `float8` inference for `Dense` and `EinsumDense` layers.
- Add custom `name` argument in all Keras Applications models.
- Add `axis` argument in `keras.losses.Dice`.
- Enable `keras.utils.FeatureSpace` to be used in a `tf.data` pipeline even when the backend isn't TensorFlow.
- `StringLookup` layer can now take `tf.SparseTensor` as input.
- `Metric.variables` is now recursive.
- Add `training` argument to `Model.compute_loss()`.
- Add `dtype` argument to all losses.
- `keras.utils.split_dataset` now supports nested structures in dataset.
- Bugs fixes and performance improvements.

**Full Changelog**: https://github.com/keras-team/keras/compare/v3.3.3...v3.4.0

3.3.3

This is a minor bugfix release.

3.3.2

This is a simple fix release that re-surfaces legacy Keras 2 APIs that aren't part of Keras package proper, but that are still featured in `tf.keras`. No other content has changed.

3.3.1

This is a simple fix release that moves the legacy `_tf_keras` API directory to the root of the Keras pip package. This is done in order to preserve import paths like `from tensorflow.keras import layers` without making any changes to the TensorFlow API files.

No other content has changed.

3.3.0

What's Changed

* Introduce float8 training.
* Add LoRA to ConvND layers.
* Add `keras.ops.ctc_decode` for JAX and TensorFlow.
* Add `keras.ops.vectorize`, `keras.ops.select`.
* Add `keras.ops.image.rgb_to_grayscale`.
* Add `keras.losses.Tversky` loss.
* Add full `bincount` and `digitize` sparse support. 
* Models and layers now return owned metrics recursively.
* Add pickling support for Keras models. Note that pickling is not recommended, prefer using Keras saving APIs.
* Bug fixes and performance improvements.

In addition, the codebase structure has evolved:

- All source files are now in `keras/src/`.
- All API files are now in `keras/api/`.
- The codebase structure stays unchanged when building the Keras pip package. This means you can `pip install` Keras directly from the GitHub sources.

New Contributors

* kapoor1992 made their first contribution in https://github.com/keras-team/keras/pull/19484
* IMvision12 made their first contribution in https://github.com/keras-team/keras/pull/19393
* alanwilter made their first contribution in https://github.com/keras-team/keras/pull/19438
* chococigar made their first contribution in https://github.com/keras-team/keras/pull/19323
* LukeWood made their first contribution in https://github.com/keras-team/keras/pull/19555
* AlexanderLavelle made their first contribution in https://github.com/keras-team/keras/pull/19575

**Full Changelog**: https://github.com/keras-team/keras/compare/v3.2.1...v3.3.0

3.2.1

What's Changed

This is a minor bugfix release.


**Full Changelog**: https://github.com/keras-team/keras/compare/v3.2.0...v3.2.1

3.2.0

What changed
- Introduce QLoRA-like technique for LoRA fine-tuning of `Dense` and `EinsumDense` layers (thereby any LLM) in int8 precision.
- Extend `keras.ops.custom_gradient` support to PyTorch.
- Add `keras.layers.JaxLayer` and `keras.layers.FlaxLayer` to wrap JAX/Flax modules as Keras layers.
- Allow `save_model` & `load_model` to accept a file-like object.
- Add quantization support to the `Embedding` layer.
- Make it possible to update metrics inside a custom `compute_loss` method with all backends.
- Make it possible to access `self.losses` inside a custom `compute_loss` method with the JAX backend.
- Add `keras.losses.Dice` loss.
- Add `keras.ops.correlate`.
- Make it possible to use cuDNN LSTM & GRU with a mask with the TensorFlow backend.
- Better JAX support in `model.export()`: add support for aliases, finer control over `jax2tf` options, and dynamic batch shapes.
- Bug fixes and performance improvements.

New Contributors
* abhaskumarsinha made their first contribution in https://github.com/keras-team/keras/pull/19302
* qaqland made their first contribution in https://github.com/keras-team/keras/pull/19378
* tvogel made their first contribution in https://github.com/keras-team/keras/pull/19310
* lpizzinidev made their first contribution in https://github.com/keras-team/keras/pull/19409
* Murhaf made their first contribution in https://github.com/keras-team/keras/pull/19444

**Full Changelog**: https://github.com/keras-team/keras/compare/v3.1.1...v3.2.0

3.1.1

This is a minor bugfix release over 3.1.0.

What's Changed
* Unwrap variable values in all stateless calls. by hertschuh in https://github.com/keras-team/keras/pull/19287
* Fix `draw_seed` causing device discrepancy issue during `torch`'s symbolic execution by KhawajaAbaid in https://github.com/keras-team/keras/pull/19289
* Fix TestCase.run_layer_test for multi-output layers by shkarupa-alex in https://github.com/keras-team/keras/pull/19293
* Sine docstring by grasskin in https://github.com/keras-team/keras/pull/19295
* Fix `keras.ops.softmax` for the tensorflow backend by tirthasheshpatel in https://github.com/keras-team/keras/pull/19300
* Fix mixed precision check in TestCase.run_layer_test: compare with output_spec dtype instead of hardcoded float16 by shkarupa-alex in https://github.com/keras-team/keras/pull/19297
* ArrayDataAdapter no longer converts to NumPy and supports sparse tens… by hertschuh in https://github.com/keras-team/keras/pull/19298
* add token to codecov by haifeng-jin in https://github.com/keras-team/keras/pull/19312
* Add Tensorflow support for variable `scatter_update` in optimizers. by hertschuh in https://github.com/keras-team/keras/pull/19313
* Replace `dm-tree` with `optree` by james77777778 in https://github.com/keras-team/keras/pull/19306
* downgrade codecov to v3 by haifeng-jin in https://github.com/keras-team/keras/pull/19319
* Allow tensors in `tf.Dataset`s to have different dimensions. by hertschuh in https://github.com/keras-team/keras/pull/19318
* update codecov setting by haifeng-jin in https://github.com/keras-team/keras/pull/19320
* Set dtype policy for uint8 by sampathweb in https://github.com/keras-team/keras/pull/19327
* Use Value dim shape for Attention compute_output_shape by sampathweb in https://github.com/keras-team/keras/pull/19284

New Contributors
* tirthasheshpatel made their first contribution in https://github.com/keras-team/keras/pull/19300

**Full Changelog**: https://github.com/keras-team/keras/compare/v3.1.0...v3.1.1

3.1.0

New features
* Add support for `int8` inference. Just call `model.quantize("int8")` to do an in-place conversion of a bfloat16 or float32 model to an int8 model. Note that only `Dense` and `EinsumDense` layers will be converted (this covers LLMs and all Transformers in general). We may add more supported layers over time.
* Add `keras.config.set_backend(backend)` utility to reload a different backend.
* Add `keras.layers.MelSpectrogram` layer for turning raw audio data into Mel spectrogram representation.
* Add `keras.ops.custom_gradient` decorator (only for JAX and TensorFlow).
* Add `keras.ops.image.crop_images`.
* Add `pad_to_aspect_ratio` argument to `image_dataset_from_directory`.
* Add `keras.random.binomial` and `keras.random.beta` functions.
* Enable `keras.ops.einsum` to run with int8 x int8 inputs and int32 output.
* Add `verbose` argument in all dataset-creation utilities.

Notable fixes
* Fix Functional model slicing
* Fix for TF XLA compilation error for `SpectralNormalization`
* Refactor `axis` logic across all backends and add support for multiple axes in `expand_dims` and `squeeze`

New Contributors
* mykolaskrynnyk made their first contribution in https://github.com/keras-team/keras/pull/19190
* chicham made their first contribution in https://github.com/keras-team/keras/pull/19201
* joycebrum made their first contribution in https://github.com/keras-team/keras/pull/19214
* EtiNL made their first contribution in https://github.com/keras-team/keras/pull/19228

**Full Changelog**: https://github.com/keras-team/keras/compare/v3.0.5...v3.1.0

3.0.5

This release brings many bug fixes and performance improvements, new linear algebra ops, and sparse tensor support for the JAX backend.

Highlights

* Add support for sparse tensors with the JAX backend.
* Add support for saving/loading in bfloat16.
* Add linear algebra ops in `keras.ops.linalg`.
* Support nested structures in `while_loop` op.
* Add `erfinv` op.
* Add `normalize` op.
* Add support for `IterableDataset` to `TorchDataLoaderAdapter`.

New Contributors
* frazane made their first contribution in https://github.com/keras-team/keras/pull/19107
* SamanehSaadat made their first contribution in https://github.com/keras-team/keras/pull/19111
* sitamgithub-MSIT made their first contribution in https://github.com/keras-team/keras/pull/19142
* timotheeMM made their first contribution in https://github.com/keras-team/keras/pull/19169

**Full Changelog**: https://github.com/keras-team/keras/compare/v3.0.4...v3.0.5

3.0.4

This is a minor release with improvements to the LoRA API required by the next release of KerasNLP.

**Full Changelog**: https://github.com/keras-team/keras/compare/v3.0.3...v3.0.4

3.0.3

This is a minor Keras release.

What's Changed

* Add built-in LoRA (low-rank adaptation) API to all relevant layers (`Dense`, `EinsumDense`, `Embedding`).
* Add `SwapEMAWeights` callback to make it easier to evaluate model metrics using EMA weights during training.
* All `DataAdapters` now create a native iterator for each backend, improving performance.
* Add built-in prefetching for JAX, improving performance.
* The `bfloat16` dtype is now allowed in the global `set_dtype` configuration utility.
* Bug fixes and performance improvements.

New Contributors

* kiraksi made their first contribution in https://github.com/keras-team/keras/pull/18977
* dugujiujian1999 made their first contribution in https://github.com/keras-team/keras/pull/19010
* neo-alex made their first contribution in https://github.com/keras-team/keras/pull/18997
* anas-rz made their first contribution in https://github.com/keras-team/keras/pull/19057

**Full Changelog**: https://github.com/keras-team/keras/compare/v3.0.2...v3.0.3

3.0.2

Breaking changes

There are no known breaking changes in this release compared to 3.0.1.

API changes

- Add `keras.random.binomial` and `keras.random.beta` RNG functions.
- Add masking support to `BatchNormalization`.
- Add `keras.losses.CTC` (loss function for sequence-to-sequence tasks) as well as the lower-level operation `keras.ops.ctc_loss`.
- Add `ops.random.alpha_dropout` and `layers.AlphaDropout`.
- Add gradient accumulation support for all backends, and enable optimizer EMA for JAX and torch

**Full Changelog**: https://github.com/keras-team/keras/compare/v3.0.1...v3.0.2

3.0.1

This is a minor release focused on bug fixes and performance improvements.

What's Changed

* Bug fixes and performance improvements.
* Add `stop_evaluating` and `stop_predicting` model attributes for callbacks, similar to `stop_training`.
* Add `keras.device()` scope for managing device placement in a multi-backend way.
* Support dict items in `PyDataset`.
* Add `hard_swish` activation and op.
* Fix cuDNN LSTM performance on TensorFlow backend.
* Add a `force_download` arg to `get_file` to force cache invalidation.

**Full Changelog**: https://github.com/keras-team/keras/compare/v3.0.0...v3.0.1

3.0.0

Major updates

See the [release announcement](https://keras.io/keras_3/) for a detailed list of major changes. Main highlights compared to Keras 2 are:

- Keras can now be run on top of JAX, PyTorch, TensorFlow, and even NumPy (note that the NumPy backend is inference-only).
- New low-level `keras.ops` API for building cross-framework components.
- New large-scale model distribution `keras.distribution` based on JAX.
- New stateless API for layers, models, optimizers, and metrics.

Breaking changes

See [this thread](https://github.com/keras-team/keras/issues/18467) for a complete list of breaking changes, as well as the [Keras 3 migration guide](https://keras.io/guides/migrating_to_keras_3/).

2.15.0

What's Changed
* Typofixes for `StringLookup` documentation by cw118 in https://github.com/keras-team/keras/pull/18333
* Fix ModelCheckpoint trained-on batch counting when using steps_per_execution>1 by jasnyj in https://github.com/keras-team/keras/pull/17632
* Fix legacy optimizer handling in `compile_from_config()`. by nkovela1 in https://github.com/keras-team/keras/pull/18492
* Remove options arg from ModelCheckpoint callback for Keras V3 saving, streamline ModelCheckpoint saving flow. Parameterize associated tests. by nkovela1 in https://github.com/keras-team/keras/pull/18545
* Use TENSORFLOW_VERSION when available during pip_build script by sampathweb in https://github.com/keras-team/keras/pull/18739

New Contributors
* cw118 made their first contribution in https://github.com/keras-team/keras/pull/18333
* jasnyj made their first contribution in https://github.com/keras-team/keras/pull/17632

**Full Changelog**: https://github.com/keras-team/keras/compare/v2.14.0...v2.15.0

2.14.0

What's Changed
* [keras/layers/normalization] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17965
* Update Python ver to 3.9 in Dockerfile by sampathweb in https://github.com/keras-team/keras/pull/18076
* [keras/saving/legacy/saved_model] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17978
* [keras/metrics] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17972
* Update example losses to bce- metrics/confusion_metrics.py by Frightera in https://github.com/keras-team/keras/pull/18045
* [keras/layers/regularization] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17968
* [keras/applications/efficientnet.py]  Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17758
* [keras/models] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17974
* [keras/mixed_precision] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17973
* Update indentation level - losses.py by Frightera in https://github.com/keras-team/keras/pull/18043
* Remove github user sushreebarsa from assignees. by shmishra99 in https://github.com/keras-team/keras/pull/18058
* [keras/preprocessing] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17977
* [keras/testing_infra] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17979
* [keras/benchmarks/benchmark_util.py] Use var rather than string literal for `is None` checks on `measure_performance` by SamuelMarks in https://github.com/keras-team/keras/pull/17980
* Some cleanup // Optimizers by Frightera in https://github.com/keras-team/keras/pull/18124
* [keras/layers/preprocessing] fix comments in RandomWidth, change to 'horizontally' instead of 'vertically' by qibolee in https://github.com/keras-team/keras/pull/18113
* [keras/applications] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17954
* [keras/estimator] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17957
* Fix CategoricalFocalCE documentation by Frightera in https://github.com/keras-team/keras/pull/18144
* [keras/utils] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17953
* [keras/layers/pooling] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17966
* use io_utils.print_msg in datset_utils by pedrobrs in https://github.com/keras-team/keras/pull/18054
* Update indentation level - activations.py by Frightera in https://github.com/keras-team/keras/pull/18036
* [keras/legacy_tf_layers] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17971
* [keras/layers/convolutional] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17963
* [keras/engine] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17956
* [keras/feature_column] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17958
* Fix markdown rendering issue by sachinprasadhs in https://github.com/keras-team/keras/pull/18205
* Consistently use "pickleable" instead of "picklable" by NicoWeio in https://github.com/keras-team/keras/pull/18140
* Use prefetch() after batching // image_dataset.py by Frightera in https://github.com/keras-team/keras/pull/18160
* Update Argument padding for zero_padding1d.py by SuryanarayanaY in https://github.com/keras-team/keras/pull/18223
* RGB image data is not grayscale image data by misterrioes in https://github.com/keras-team/keras/pull/18133
* updated read.me by VaishnaviMudaliar in https://github.com/keras-team/keras/pull/18226
* Fixed the typo in policy.py by tilakrayal in https://github.com/keras-team/keras/pull/18233
* Update example losses  probabilistic_metrics.py by Frightera in https://github.com/keras-team/keras/pull/18234
* Fixed "reset_state" of R2Score metric by pdyakov in https://github.com/keras-team/keras/pull/18251
* Ignore hidden folders for image_dataset_from_directory by sachinprasadhs in https://github.com/keras-team/keras/pull/18177
* Improve error message for input data to fit. by tomrtk in https://github.com/keras-team/keras/pull/18042
* refactor:  _log_epoch_metrics() by arjun-234 in https://github.com/keras-team/keras/pull/18274
* Refactor test cases to improve unit test quality by freddiewanah in https://github.com/keras-team/keras/pull/18303
* typo in disable_interactie_logging by ganeshiva in https://github.com/keras-team/keras/pull/18314
* Removes Python 3.8 support by sampathweb in https://github.com/keras-team/keras/pull/18332
* Update requirements.txt by qlzh727 in https://github.com/keras-team/keras/pull/18382

New Contributors
* sampathweb made their first contribution in https://github.com/keras-team/keras/pull/18076
* shmishra99 made their first contribution in https://github.com/keras-team/keras/pull/18058
* qibolee made their first contribution in https://github.com/keras-team/keras/pull/18113
* pedrobrs made their first contribution in https://github.com/keras-team/keras/pull/18054
* NicoWeio made their first contribution in https://github.com/keras-team/keras/pull/18140
* SuryanarayanaY made their first contribution in https://github.com/keras-team/keras/pull/18223
* misterrioes made their first contribution in https://github.com/keras-team/keras/pull/18133
* VaishnaviMudaliar made their first contribution in https://github.com/keras-team/keras/pull/18226
* pdyakov made their first contribution in https://github.com/keras-team/keras/pull/18251
* tomrtk made their first contribution in https://github.com/keras-team/keras/pull/18042
* arjun-234 made their first contribution in https://github.com/keras-team/keras/pull/18274
* freddiewanah made their first contribution in https://github.com/keras-team/keras/pull/18303
* ganeshiva made their first contribution in https://github.com/keras-team/keras/pull/18314

**Full Changelog**: https://github.com/keras-team/keras/compare/v2.13.1...v2.14.0

2.14.0rc0

What's Changed
* [keras/layers/normalization] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17965
* Update Python ver to 3.9 in Dockerfile by sampathweb in https://github.com/keras-team/keras/pull/18076
* [keras/saving/legacy/saved_model] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17978
* [keras/metrics] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17972
* Update example losses to bce- metrics/confusion_metrics.py by Frightera in https://github.com/keras-team/keras/pull/18045
* [keras/layers/regularization] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17968
* [keras/applications/efficientnet.py]  Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17758
* [keras/models] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17974
* [keras/mixed_precision] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17973
* Update indentation level - losses.py by Frightera in https://github.com/keras-team/keras/pull/18043
* Remove github user sushreebarsa from assignees. by shmishra99 in https://github.com/keras-team/keras/pull/18058
* [keras/preprocessing] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17977
* [keras/testing_infra] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17979
* [keras/benchmarks/benchmark_util.py] Use var rather than string literal for `is None` checks on `measure_performance` by SamuelMarks in https://github.com/keras-team/keras/pull/17980
* Some cleanup // Optimizers by Frightera in https://github.com/keras-team/keras/pull/18124
* [keras/layers/preprocessing] fix comments in RandomWidth, change to 'horizontally' instead of 'vertically' by qibolee in https://github.com/keras-team/keras/pull/18113
* [keras/applications] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17954
* [keras/estimator] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17957
* Fix CategoricalFocalCE documentation by Frightera in https://github.com/keras-team/keras/pull/18144
* [keras/utils] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17953
* [keras/layers/pooling] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17966
* use io_utils.print_msg in datset_utils by pedrobrs in https://github.com/keras-team/keras/pull/18054
* Update indentation level - activations.py by Frightera in https://github.com/keras-team/keras/pull/18036
* [keras/legacy_tf_layers] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17971
* [keras/layers/convolutional] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17963
* [keras/engine] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17956
* [keras/feature_column] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17958
* Fix markdown rendering issue by sachinprasadhs in https://github.com/keras-team/keras/pull/18205
* Consistently use "pickleable" instead of "picklable" by NicoWeio in https://github.com/keras-team/keras/pull/18140
* Use prefetch() after batching // image_dataset.py by Frightera in https://github.com/keras-team/keras/pull/18160
* Update Argument padding for zero_padding1d.py by SuryanarayanaY in https://github.com/keras-team/keras/pull/18223
* RGB image data is not grayscale image data by misterrioes in https://github.com/keras-team/keras/pull/18133
* updated read.me by VaishnaviMudaliar in https://github.com/keras-team/keras/pull/18226
* Fixed the typo in policy.py by tilakrayal in https://github.com/keras-team/keras/pull/18233
* Update example losses  probabilistic_metrics.py by Frightera in https://github.com/keras-team/keras/pull/18234
* Fixed "reset_state" of R2Score metric by pdyakov in https://github.com/keras-team/keras/pull/18251
* Ignore hidden folders for image_dataset_from_directory by sachinprasadhs in https://github.com/keras-team/keras/pull/18177
* Improve error message for input data to fit. by tomrtk in https://github.com/keras-team/keras/pull/18042
* refactor:  _log_epoch_metrics() by arjun-234 in https://github.com/keras-team/keras/pull/18274
* Refactor test cases to improve unit test quality by freddiewanah in https://github.com/keras-team/keras/pull/18303
* typo in disable_interactie_logging by ganeshiva in https://github.com/keras-team/keras/pull/18314
* Removes Python 3.8 support by sampathweb in https://github.com/keras-team/keras/pull/18332

New Contributors
* sampathweb made their first contribution in https://github.com/keras-team/keras/pull/18076
* shmishra99 made their first contribution in https://github.com/keras-team/keras/pull/18058
* qibolee made their first contribution in https://github.com/keras-team/keras/pull/18113
* pedrobrs made their first contribution in https://github.com/keras-team/keras/pull/18054
* NicoWeio made their first contribution in https://github.com/keras-team/keras/pull/18140
* SuryanarayanaY made their first contribution in https://github.com/keras-team/keras/pull/18223
* misterrioes made their first contribution in https://github.com/keras-team/keras/pull/18133
* VaishnaviMudaliar made their first contribution in https://github.com/keras-team/keras/pull/18226
* pdyakov made their first contribution in https://github.com/keras-team/keras/pull/18251
* tomrtk made their first contribution in https://github.com/keras-team/keras/pull/18042
* arjun-234 made their first contribution in https://github.com/keras-team/keras/pull/18274
* freddiewanah made their first contribution in https://github.com/keras-team/keras/pull/18303
* ganeshiva made their first contribution in https://github.com/keras-team/keras/pull/18314

**Full Changelog**: https://github.com/keras-team/keras/compare/v2.13.1...v2.14.0-rc0

2.13.1

What's Changed
* Fix timeseries_dataset_from_array counts when sequence_stride > 1 by basjacobs93 in https://github.com/keras-team/keras/pull/17396
* Fix doc for MultiHeadAttention's output_shape arg by tsdeng in https://github.com/keras-team/keras/pull/17432
* Added a link to the TextVectorization API Reference Page. by Neeshamraghav012 in https://github.com/keras-team/keras/pull/17540
* Fix ConvNeXt classifier activation bug by Frightera in https://github.com/keras-team/keras/pull/17544
* Activations clean up by joesho112358 in https://github.com/keras-team/keras/pull/17545
* Perform all ops in apply_gradient in a given tf.name_scope. by foxik in https://github.com/keras-team/keras/pull/17550
* Bugfix/normalization invert by jerabaul29 in https://github.com/keras-team/keras/pull/17501
* OptimizerV2: Allow deepcopy by jschueller in https://github.com/keras-team/keras/pull/17463
* keras.models.clone_model creates different weight names for RNN layers by mergian in https://github.com/keras-team/keras/pull/17465
* Fix spelling error in Initializer warning by edknv in https://github.com/keras-team/keras/pull/17568
* LayerScale fix to support pretrained ConvNeXt models with mixed precision by andreped in https://github.com/keras-team/keras/pull/17547
* Softmax fix in Mixed Precision by dsr-lab in https://github.com/keras-team/keras/pull/17571
* Less restrictive ROCm+GRU/LSTM fallback logic by ekuznetsov139 in https://github.com/keras-team/keras/pull/17587
* Update security section. by sachinprasadhs in https://github.com/keras-team/keras/pull/17522
* Fix serialization error with EfficientNet by RocketDelivery in https://github.com/keras-team/keras/pull/17498
* grammar corrections by egurnick in https://github.com/keras-team/keras/pull/17595
* Update documentation to keras reuters dataset by hxy9243 in https://github.com/keras-team/keras/pull/17635
* Add Lion optimizer by drauh in https://github.com/keras-team/keras/pull/17605
* Correct the docstring of Head func in convnext.py by Frightera in https://github.com/keras-team/keras/pull/17667
* keras.layers.Bidirectional is missing argument "states", which is defined for keras.layers.RNN by mergian in https://github.com/keras-team/keras/pull/17469
* fix a small bug in tf.keras.layer.Layer.compute_output_signature by yamanoko in https://github.com/keras-team/keras/pull/17636
* Optimize mixed-precision finite check for sparse tensors. by nluehr in https://github.com/keras-team/keras/pull/17638
* Typo Lion docstring by drauh in https://github.com/keras-team/keras/pull/17726
* Raise ValueError if reducing axis dimension is 0 by old-school-kid in https://github.com/keras-team/keras/pull/16755
* Add CategoricalFocalCrossentropy to Losses API by Frightera in https://github.com/keras-team/keras/pull/17651
* Unifying interpolation selection by jpodivin in https://github.com/keras-team/keras/pull/17742
* Add a missing space by sudoLife in https://github.com/keras-team/keras/pull/17744
* [keras/initializers/initializers_v1.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17785
* [keras/layers/convolutional/conv3d_transpose.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17797
* [keras/engine/training.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17780
* [keras/feature_column/dense_features.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17783
* [keras/datasets/imdb.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17771
* [keras/backend.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17769
* [keras/engine/base_layer_utils.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17774
* [keras/layers/activation/leaky_relu.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17786
* [keras/engine/training_v1.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17781
* [keras/layers/activation/relu.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17787
* [keras/layers/convolutional/conv2d_transpose.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17795
* [keras/layers/convolutional/conv3d.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17796
* [keras/layers/activation/softmax.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17788
* [keras/layers/convolutional/depthwise_conv2d.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17799
* [keras/layers/convolutional/separable_conv2d.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17800
* [keras/layers/locally_connected/locally_connected2d.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17803
* [keras/layers/locally_connected/locally_connected1d.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17802
* Fix performance issue with sample weights in model.fit() by nershman in https://github.com/keras-team/keras/pull/17357
* [keras/datasets/reuters.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17772
* [keras/applications/mobilenet.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17763
* [keras/applications/inception_v3.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17762
* [keras/engine/input_layer.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17779
* [keras/engine/data_adapter.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17777
* [keras/applications/imagenet_utils.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17760
* [keras/layers/attention/additive_attention.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17789
* [keras/engine/base_layer.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17773
* [keras/layers/kernelized.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17801
* [keras/engine/functional.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17778
* [keras/layers/attention/multi_head_attention.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17791
* Minor improvements and code refactoring in backend.py by Frightera in https://github.com/keras-team/keras/pull/17746
* Update indentation level - layers/attention by Frightera in https://github.com/keras-team/keras/pull/17945
* Update indentation level - layers/activation by Frightera in https://github.com/keras-team/keras/pull/17943
* [keras/layers/preprocessing/image_preprocessing_test.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17820
* [keras/layers/preprocessing/text_vectorization.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17825
* [keras/optimizers/ftrl.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17864
* [keras/optimizers/adam.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17861
* [keras/optimizers/adamax.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17862
* [keras/optimizers/legacy/adam.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17867
* [keras/optimizers/legacy/ftrl.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17868
* [keras/utils/dataset_utils.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17895
* [keras/utils/feature_space.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17896
* [keras/optimizers/nadam.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17875
* [keras/saving/serialization_lib.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17889
* [keras/metrics/base_metric.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17850
* Update indentation level - utils/image_dataset by Frightera in https://github.com/keras-team/keras/pull/18005
* [keras/optimizers/schedules] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17976
* [keras/layers/reshaping] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17969
* [keras/optimizers/legacy] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17975
* [keras/layers/rnn] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17970
* [keras/layers/convolutional/depthwise_conv1d.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17798
* [keras/applications/mobilenet_v3.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17764
* [keras/layers/preprocessing] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17967
* [keras/datasets] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17955
* [keras/layers/activation] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17961
* Increase the version number for keras 2.13 by qlzh727 in https://github.com/keras-team/keras/pull/18081
* Cherrypick the release script fix for RC. by qlzh727 in https://github.com/keras-team/keras/pull/18082
* Cherrypick Sequential serialization bug fix for r2.13 by nkovela1 in https://github.com/keras-team/keras/pull/18258

New Contributors
* basjacobs93 made their first contribution in https://github.com/keras-team/keras/pull/17396
* tsdeng made their first contribution in https://github.com/keras-team/keras/pull/17432
* Neeshamraghav012 made their first contribution in https://github.com/keras-team/keras/pull/17540
* joesho112358 made their first contribution in https://github.com/keras-team/keras/pull/17545
* jerabaul29 made their first contribution in https://github.com/keras-team/keras/pull/17501
* jschueller made their first contribution in https://github.com/keras-team/keras/pull/17463
* edknv made their first contribution in https://github.com/keras-team/keras/pull/17568
* andreped made their first contribution in https://github.com/keras-team/keras/pull/17547
* dsr-lab made their first contribution in https://github.com/keras-team/keras/pull/17571
* RocketDelivery made their first contribution in https://github.com/keras-team/keras/pull/17498
* egurnick made their first contribution in https://github.com/keras-team/keras/pull/17595
* hxy9243 made their first contribution in https://github.com/keras-team/keras/pull/17635
* yamanoko made their first contribution in https://github.com/keras-team/keras/pull/17636
* nluehr made their first contribution in https://github.com/keras-team/keras/pull/17638
* jpodivin made their first contribution in https://github.com/keras-team/keras/pull/17742
* sudoLife made their first contribution in https://github.com/keras-team/keras/pull/17744
* nershman made their first contribution in https://github.com/keras-team/keras/pull/17357
* nkovela1 made their first contribution in https://github.com/keras-team/keras/pull/18258

**Full Changelog**: https://github.com/keras-team/keras/compare/v2.12.0...v2.13.1

2.13.1rc1

What's Changed
* Cherrypick Sequential serialization bug fix for r2.13 by nkovela1 in https://github.com/keras-team/keras/pull/18258

New Contributors
* nkovela1 made their first contribution in https://github.com/keras-team/keras/pull/18258

**Full Changelog**: https://github.com/keras-team/keras/compare/v2.13.1-rc0...v2.13.1-rc1

2.13.1rc0

What's Changed
* Fix timeseries_dataset_from_array counts when sequence_stride > 1 by basjacobs93 in https://github.com/keras-team/keras/pull/17396
* Fix doc for MultiHeadAttention's output_shape arg by tsdeng in https://github.com/keras-team/keras/pull/17432
* Added a link to the TextVectorization API Reference Page. by Neeshamraghav012 in https://github.com/keras-team/keras/pull/17540
* Fix ConvNeXt classifier activation bug by Frightera in https://github.com/keras-team/keras/pull/17544
* Activations clean up by joesho112358 in https://github.com/keras-team/keras/pull/17545
* Perform all ops in apply_gradient in a given tf.name_scope. by foxik in https://github.com/keras-team/keras/pull/17550
* Bugfix/normalization invert by jerabaul29 in https://github.com/keras-team/keras/pull/17501
* OptimizerV2: Allow deepcopy by jschueller in https://github.com/keras-team/keras/pull/17463
* keras.models.clone_model creates different weight names for RNN layers by mergian in https://github.com/keras-team/keras/pull/17465
* Fix spelling error in Initializer warning by edknv in https://github.com/keras-team/keras/pull/17568
* LayerScale fix to support pretrained ConvNeXt models with mixed precision by andreped in https://github.com/keras-team/keras/pull/17547
* Softmax fix in Mixed Precision by dsr-lab in https://github.com/keras-team/keras/pull/17571
* Less restrictive ROCm+GRU/LSTM fallback logic by ekuznetsov139 in https://github.com/keras-team/keras/pull/17587
* Update security section. by sachinprasadhs in https://github.com/keras-team/keras/pull/17522
* Fix serialization error with EfficientNet by RocketDelivery in https://github.com/keras-team/keras/pull/17498
* grammar corrections by egurnick in https://github.com/keras-team/keras/pull/17595
* Update documentation to keras reuters dataset by hxy9243 in https://github.com/keras-team/keras/pull/17635
* Add Lion optimizer by drauh in https://github.com/keras-team/keras/pull/17605
* Correct the docstring of Head func in convnext.py by Frightera in https://github.com/keras-team/keras/pull/17667
* keras.layers.Bidirectional is missing argument "states", which is defined for keras.layers.RNN by mergian in https://github.com/keras-team/keras/pull/17469
* fix a small bug in tf.keras.layer.Layer.compute_output_signature by yamanoko in https://github.com/keras-team/keras/pull/17636
* Optimize mixed-precision finite check for sparse tensors. by nluehr in https://github.com/keras-team/keras/pull/17638
* Typo Lion docstring by drauh in https://github.com/keras-team/keras/pull/17726
* Raise ValueError if reducing axis dimension is 0 by old-school-kid in https://github.com/keras-team/keras/pull/16755
* Add CategoricalFocalCrossentropy to Losses API by Frightera in https://github.com/keras-team/keras/pull/17651
* Unifying interpolation selection by jpodivin in https://github.com/keras-team/keras/pull/17742
* Add a missing space by sudoLife in https://github.com/keras-team/keras/pull/17744
* [keras/initializers/initializers_v1.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17785
* [keras/layers/convolutional/conv3d_transpose.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17797
* [keras/engine/training.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17780
* [keras/feature_column/dense_features.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17783
* [keras/datasets/imdb.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17771
* [keras/backend.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17769
* [keras/engine/base_layer_utils.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17774
* [keras/layers/activation/leaky_relu.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17786
* [keras/engine/training_v1.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17781
* [keras/layers/activation/relu.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17787
* [keras/layers/convolutional/conv2d_transpose.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17795
* [keras/layers/convolutional/conv3d.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17796
* [keras/layers/activation/softmax.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17788
* [keras/layers/convolutional/depthwise_conv2d.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17799
* [keras/layers/convolutional/separable_conv2d.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17800
* [keras/layers/locally_connected/locally_connected2d.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17803
* [keras/layers/locally_connected/locally_connected1d.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17802
* Fix performance issue with sample weights in model.fit() by nershman in https://github.com/keras-team/keras/pull/17357
* [keras/datasets/reuters.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17772
* [keras/applications/mobilenet.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17763
* [keras/applications/inception_v3.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17762
* [keras/engine/input_layer.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17779
* [keras/engine/data_adapter.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17777
* [keras/applications/imagenet_utils.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17760
* [keras/layers/attention/additive_attention.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17789
* [keras/engine/base_layer.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17773
* [keras/layers/kernelized.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17801
* [keras/engine/functional.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17778
* [keras/layers/attention/multi_head_attention.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17791
* Minor improvements and code refactoring in backend.py by Frightera in https://github.com/keras-team/keras/pull/17746
* Update indentation level - layers/attention by Frightera in https://github.com/keras-team/keras/pull/17945
* Update indentation level - layers/activation by Frightera in https://github.com/keras-team/keras/pull/17943
* [keras/layers/preprocessing/image_preprocessing_test.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17820
* [keras/layers/preprocessing/text_vectorization.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17825
* [keras/optimizers/ftrl.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17864
* [keras/optimizers/adam.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17861
* [keras/optimizers/adamax.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17862
* [keras/optimizers/legacy/adam.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17867
* [keras/optimizers/legacy/ftrl.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17868
* [keras/utils/dataset_utils.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17895
* [keras/utils/feature_space.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17896
* [keras/optimizers/nadam.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17875
* [keras/saving/serialization_lib.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17889
* [keras/metrics/base_metric.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17850
* Update indentation level - utils/image_dataset by Frightera in https://github.com/keras-team/keras/pull/18005
* [keras/optimizers/schedules] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17976
* [keras/layers/reshaping] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17969
* [keras/optimizers/legacy] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17975
* [keras/layers/rnn] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17970
* [keras/layers/convolutional/depthwise_conv1d.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17798
* [keras/applications/mobilenet_v3.py] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17764
* [keras/layers/preprocessing] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17967
* [keras/datasets] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17955
* [keras/layers/activation] Standardise docstring usage of "Default to" by SamuelMarks in https://github.com/keras-team/keras/pull/17961
* Increase the version number for keras 2.13 by qlzh727 in https://github.com/keras-team/keras/pull/18081
* Cherrypick the release script fix for RC. by qlzh727 in https://github.com/keras-team/keras/pull/18082

New Contributors
* basjacobs93 made their first contribution in https://github.com/keras-team/keras/pull/17396
* tsdeng made their first contribution in https://github.com/keras-team/keras/pull/17432
* Neeshamraghav012 made their first contribution in https://github.com/keras-team/keras/pull/17540
* Frightera made their first contribution in https://github.com/keras-team/keras/pull/17544
* joesho112358 made their first contribution in https://github.com/keras-team/keras/pull/17545
* jerabaul29 made their first contribution in https://github.com/keras-team/keras/pull/17501
* jschueller made their first contribution in https://github.com/keras-team/keras/pull/17463
* edknv made their first contribution in https://github.com/keras-team/keras/pull/17568
* andreped made their first contribution in https://github.com/keras-team/keras/pull/17547
* dsr-lab made their first contribution in https://github.com/keras-team/keras/pull/17571
* RocketDelivery made their first contribution in https://github.com/keras-team/keras/pull/17498
* egurnick made their first contribution in https://github.com/keras-team/keras/pull/17595
* hxy9243 made their first contribution in https://github.com/keras-team/keras/pull/17635
* yamanoko made their first contribution in https://github.com/keras-team/keras/pull/17636
* nluehr made their first contribution in https://github.com/keras-team/keras/pull/17638
* jpodivin made their first contribution in https://github.com/keras-team/keras/pull/17742
* sudoLife made their first contribution in https://github.com/keras-team/keras/pull/17744
* nershman made their first contribution in https://github.com/keras-team/keras/pull/17357

**Full Changelog**: https://github.com/keras-team/keras/compare/v2.12.0...v2.13.1-rc0

2.12.0

Please see the release history at https://github.com/tensorflow/tensorflow/releases/tag/v2.12.0 for more details.

What's Changed
* Updated Function _create_seed() in keras.backend by sushreebarsa in https://github.com/keras-team/keras/pull/17150
* Fixed typo in keras/keras/preprocessing/text.py by KarahanS in https://github.com/keras-team/keras/pull/17159
* Changed .format to f-string for better readability by AdityaPunetha in https://github.com/keras-team/keras/pull/17170
* Use the fallback method for GRU and LSTM on ROCm if padded I/O is needed by ekuznetsov139 in https://github.com/keras-team/keras/pull/17111
* Updated broken link by sushreebarsa in https://github.com/keras-team/keras/pull/17196
* Remove unused `amsgrad` argument in SGD by lgeiger in https://github.com/keras-team/keras/pull/17197
* Delegate `finalize_variable_values` in `LossScaleOptimizerV3` by lgeiger in https://github.com/keras-team/keras/pull/17225
* Update broken link by chunduriv in https://github.com/keras-team/keras/pull/17224
* Fix `use_causal_mask=True` with `RaggedTensor` bug by haifeng-jin in https://github.com/keras-team/keras/pull/17231
* Restore update_freq functionality by myaaaaaaaaa in https://github.com/keras-team/keras/pull/17142
* support to compat python 3.11 by hongxu-jia in https://github.com/keras-team/keras/pull/17239
* Update base_layer_v1.py by kbuyukakyuz in https://github.com/keras-team/keras/pull/17246
* Added identity layer by AdityaKane2001 in https://github.com/keras-team/keras/pull/17291
* Adds show_trainable option to plot_model() by mfidabel in https://github.com/keras-team/keras/pull/17145
* Update deprecated tf.contrib by sachinprasadhs in https://github.com/keras-team/keras/pull/17344
* Update depthwise_conv2d.py by gowthamkpr in https://github.com/keras-team/keras/pull/17341
* Tzm/optional verbosity by Mirandatz in https://github.com/keras-team/keras/pull/17346
* Fixed EfficientNetV2's MBConvBlock output phase. by sebastian-sz in https://github.com/keras-team/keras/pull/17364
* Update README.md to fix wrong links by NourEldin-Osama in https://github.com/keras-team/keras/pull/17374
* Warning if categorical crossentropy is used for 2 labels by old-school-kid in https://github.com/keras-team/keras/pull/17330
* Improved the CONTRIBUTING.md file by izam-mohammed in https://github.com/keras-team/keras/pull/17428
* Updated Docs string of doc_utils.py with new apis by mohantym in https://github.com/keras-team/keras/pull/17441
* Update MHA docstrings by haifeng-jin in https://github.com/keras-team/keras/pull/17461
* Update docstrings in text_dataset by haifeng-jin in https://github.com/keras-team/keras/pull/17462
* Bugfix: Pass show_layer_activations to expand_nested calls by alkatar21 in https://github.com/keras-team/keras/pull/17415
* Fix index_directory directory structure ignoring when passing labels explicitly by wwossname in https://github.com/keras-team/keras/pull/17403
* Add `to_ordinal` feature for ordinal regression/classification by awsaf49 in https://github.com/keras-team/keras/pull/17419
* Use 4 spaces indent for Dense layer docstrings by haifeng-jin in https://github.com/keras-team/keras/pull/17472
* keras.layers.Bidirectional constructor ignores trainable argument, causing models with trainable=False layers to incorrectly be cloned  by mergian in https://github.com/keras-team/keras/pull/17467
* Fix api_docs for `to_ordinal` by awsaf49 in https://github.com/keras-team/keras/pull/17485
* Less restrictive fallback logic by jayfurmanek in https://github.com/keras-team/keras/pull/17591

New Contributors
* KarahanS made their first contribution in https://github.com/keras-team/keras/pull/17159
* AdityaPunetha made their first contribution in https://github.com/keras-team/keras/pull/17170
* hongxu-jia made their first contribution in https://github.com/keras-team/keras/pull/17239
* kbuyukakyuz made their first contribution in https://github.com/keras-team/keras/pull/17246
* gowthamkpr made their first contribution in https://github.com/keras-team/keras/pull/17341
* Mirandatz made their first contribution in https://github.com/keras-team/keras/pull/17346
* NourEldin-Osama made their first contribution in https://github.com/keras-team/keras/pull/17374
* izam-mohammed made their first contribution in https://github.com/keras-team/keras/pull/17428
* alkatar21 made their first contribution in https://github.com/keras-team/keras/pull/17415
* wwossname made their first contribution in https://github.com/keras-team/keras/pull/17403
* awsaf49 made their first contribution in https://github.com/keras-team/keras/pull/17419
* jayfurmanek made their first contribution in https://github.com/keras-team/keras/pull/17591

**Full Changelog**: https://github.com/keras-team/keras/compare/v2.11.0...v2.12.0

2.12.0rc1

Please see the release history at https://github.com/tensorflow/tensorflow/releases/tag/v2.12.0-rc0 for more details.

What's Changed
* Updated Function _create_seed() in keras.backend by sushreebarsa in https://github.com/keras-team/keras/pull/17150
* Fixed typo in keras/keras/preprocessing/text.py by KarahanS in https://github.com/keras-team/keras/pull/17159
* Changed .format to f-string for better readability by AdityaPunetha in https://github.com/keras-team/keras/pull/17170
* Use the fallback method for GRU and LSTM on ROCm if padded I/O is needed by ekuznetsov139 in https://github.com/keras-team/keras/pull/17111
* Updated broken link by sushreebarsa in https://github.com/keras-team/keras/pull/17196
* Remove unused `amsgrad` argument in SGD by lgeiger in https://github.com/keras-team/keras/pull/17197
* Delegate `finalize_variable_values` in `LossScaleOptimizerV3` by lgeiger in https://github.com/keras-team/keras/pull/17225
* Update broken link by chunduriv in https://github.com/keras-team/keras/pull/17224
* Fix `use_causal_mask=True` with `RaggedTensor` bug by haifeng-jin in https://github.com/keras-team/keras/pull/17231
* Restore update_freq functionality by myaaaaaaaaa in https://github.com/keras-team/keras/pull/17142
* support to compat python 3.11 by hongxu-jia in https://github.com/keras-team/keras/pull/17239
* Update base_layer_v1.py by kbuyukakyuz in https://github.com/keras-team/keras/pull/17246
* Added identity layer by AdityaKane2001 in https://github.com/keras-team/keras/pull/17291
* Adds show_trainable option to plot_model() by mfidabel in https://github.com/keras-team/keras/pull/17145
* Update deprecated tf.contrib by sachinprasadhs in https://github.com/keras-team/keras/pull/17344
* Update depthwise_conv2d.py by gowthamkpr in https://github.com/keras-team/keras/pull/17341
* Tzm/optional verbosity by Mirandatz in https://github.com/keras-team/keras/pull/17346
* Fixed EfficientNetV2's MBConvBlock output phase. by sebastian-sz in https://github.com/keras-team/keras/pull/17364
* Update README.md to fix wrong links by NourEldin-Osama in https://github.com/keras-team/keras/pull/17374
* Warning if categorical crossentropy is used for 2 labels by old-school-kid in https://github.com/keras-team/keras/pull/17330
* Improved the CONTRIBUTING.md file by izam-mohammed in https://github.com/keras-team/keras/pull/17428
* Updated Docs string of doc_utils.py with new apis by mohantym in https://github.com/keras-team/keras/pull/17441
* Update MHA docstrings by haifeng-jin in https://github.com/keras-team/keras/pull/17461
* Update docstrings in text_dataset by haifeng-jin in https://github.com/keras-team/keras/pull/17462
* Bugfix: Pass show_layer_activations to expand_nested calls by alkatar21 in https://github.com/keras-team/keras/pull/17415
* Fix index_directory directory structure ignoring when passing labels explicitly by wwossname in https://github.com/keras-team/keras/pull/17403
* Add `to_ordinal` feature for ordinal regression/classification by awsaf49 in https://github.com/keras-team/keras/pull/17419
* Use 4 spaces indent for Dense layer docstrings by haifeng-jin in https://github.com/keras-team/keras/pull/17472
* keras.layers.Bidirectional constructor ignores trainable argument, causing models with trainable=False layers to incorrectly be cloned  by mergian in https://github.com/keras-team/keras/pull/17467
* Fix api_docs for `to_ordinal` by awsaf49 in https://github.com/keras-team/keras/pull/17485
* Less restrictive fallback logic by jayfurmanek in https://github.com/keras-team/keras/pull/17591

New Contributors
* KarahanS made their first contribution in https://github.com/keras-team/keras/pull/17159
* AdityaPunetha made their first contribution in https://github.com/keras-team/keras/pull/17170
* ekuznetsov139 made their first contribution in https://github.com/keras-team/keras/pull/17111
* hongxu-jia made their first contribution in https://github.com/keras-team/keras/pull/17239
* kbuyukakyuz made their first contribution in https://github.com/keras-team/keras/pull/17246
* gowthamkpr made their first contribution in https://github.com/keras-team/keras/pull/17341
* Mirandatz made their first contribution in https://github.com/keras-team/keras/pull/17346
* NourEldin-Osama made their first contribution in https://github.com/keras-team/keras/pull/17374
* izam-mohammed made their first contribution in https://github.com/keras-team/keras/pull/17428
* alkatar21 made their first contribution in https://github.com/keras-team/keras/pull/17415
* wwossname made their first contribution in https://github.com/keras-team/keras/pull/17403
* awsaf49 made their first contribution in https://github.com/keras-team/keras/pull/17419
* jayfurmanek made their first contribution in https://github.com/keras-team/keras/pull/17591

**Full Changelog**: https://github.com/keras-team/keras/compare/v2.11.0...v2.12.0-rc1

2.11.0

Please see the release history at https://github.com/tensorflow/tensorflow/releases/tag/v2.11.0 for more details.

**Full Changelog**: https://github.com/keras-team/keras/compare/v2.10.0..

@pyup-bot pyup-bot mentioned this pull request Aug 12, 2024
Closed
@pyup-bot
Copy link
Collaborator Author

pyup-bot commented Oct 3, 2024

Closing this in favor of #508

@pyup-bot pyup-bot closed this Oct 3, 2024
@rvosa rvosa deleted the pyup-update-keras-2.2.5-to-3.5.0 branch October 3, 2024 21:56
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Reviewers
No reviews
Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
No milestone
Development

Successfully merging this pull request may close these issues.
1 participant
@pyup-bot