keras

What's Changed

This is a minor bugfix release.

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

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

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.Datasets 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

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

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

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

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

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

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

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

Major updates

See the release announcement 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 for a complete list of breaking changes, as well as the Keras 3 migration guide.

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

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

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

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

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

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

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

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...v2.11.0

What's Changed

• Cherrypick pull request #17225 from lgeiger:fix-mixed-precision-ema by @qlzh727 in https://github.com/keras-team/keras/pull/17226

Full Changelog: https://github.com/keras-team/keras/compare/v2.11.0-rc2...v2.11.0-rc3