Keras Release 2.11.0 RC1

Please see the release history at https://github.com/tensorflow/tensorflow/releases/tag/v2.11.0-rc1 for more details.

What's Changed

• Fix TypeError positional argument when LossScalerOptimizer is used conjointly with tfa wrappers by @lucasdavid in #16332
• Add type check to axis by @sachinprasadhs in #16208
• minor documention fix by @bmatschke in #16331
• Fix typos in data_adapter.py by @taegeonum in #16326
• Add exclude_from_weight_decay to AdamW by @markub3327 in #16274
• Switching learning/brain dependency to OSS compatible test_util by @copybara-service in #16362
• Typo fix in LSTM docstring by @peskaf in #16364
• Copy loss and metric to prevent side effect by @drauh in #16360
• Denormalization layer by @markub3327 in #16350
• Fix reset_states not working when invoked within a tf.function in graph mode. by @copybara-service in #16400
• Reduce the complexity of the base layer by pulling out the logic related to handling call function args to a separate class. by @copybara-service in #16375
• Add subset="both" functionality to {image|text}_dataset_from_directory() by @Haaris-Rahman in #16413
• Fix non-float32 efficientnet calls by @hctomkins in #16402
• Fix prediction with structured output by @itmo153277 in #16408
• Add reference to resource variables. by @sachinprasadhs in #16409
• added audio_dataset.py by @hazemessamm in #16388
• Fix Syntax error for combined_model.compile of WideDeepModel by @gadagashwini in #16447
• Missing f prefix on f-strings fix by @code-review-doctor in #16459
• Update CONTRIBUTING.md by @rthadur in #15998
• adds split_dataset utility by @prakashsellathurai in #16398
• Support increasing batch size by @markus-hinsche in #16337
• Add ConvNeXt models by @sayakpaul in #16421
• Fix OrthogonalRegularizer to implement the (1,1) matrix norm by @Kiwiakos in #16521
• fix: weight keys so that imagenet init works by @sayakpaul in #16528
• Preprocess input correction by @AdityaKane2001 in #16527
• Fix typo in documentation by @sushreebarsa in #16534
• Update index_lookup.py by @tilakrayal in #16460
• update codespaces bazel install by @haifeng-jin in #16575
• reduce too long lines in engine/ by @haifeng-jin in #16579
• Fix typos by @eltociear in #16568
• Fix mixed precision serialization of group convs by @lgeiger in #16571
• reduce layers line-too-long by @haifeng-jin in #16580
• resolve line-too-long in root directory by @haifeng-jin in #16584
• resolve line-too-long in metrics by @haifeng-jin in #16586
• resolve line-too-long in optimizers by @haifeng-jin in #16587
• resolve line-too-long in distribute by @haifeng-jin in #16594
• resolve line-too-long in integration_test by @haifeng-jin in #16599
• resovle line-too-long in legacy-tf-layers by @haifeng-jin in #16600
• resolve line-too-long in initializers by @haifeng-jin in #16598
• resolve line-too-long in api by @haifeng-jin in #16592
• resolve line-too-long in benchmarks by @haifeng-jin in #16593
• resolve line-too-long in feature_column by @haifeng-jin in #16597
• resolve line-too-long in datasets by @haifeng-jin in #16591
• resolve line-too-long in dtensor by @haifeng-jin in #16595
• resolve line-too-long in estimator by @haifeng-jin in #16596
• resolve line-too-long in applications by @haifeng-jin in #16590
• resolve line-too-long in mixed_precision by @haifeng-jin in #16605
• resolve line-too-long in models by @haifeng-jin in #16606
• resolve line-too-long in premade_models by @haifeng-jin in #16608
• resolve line-too-long in tests by @haifeng-jin in #16613
• resolve line-too-long in testing_infra by @haifeng-jin in #16612
• resolve line-too-long in saving by @haifeng-jin in #16611
• resolve line-too-long in preprocessing by @haifeng-jin in #16609
• resolve line-too-long in utils by @haifeng-jin in #16614
• Optimize L2 Regularizer (use tf.nn.l2_loss) by @szutenberg in #16537
• let the linter ignore certain lines, prepare to enforce line length by @haifeng-jin in #16617
• Fix typo by @m-ahmadi in #16607
• Explicitely set AutoShardPolicy.DATA for TensorLike datasets by @lgeiger in #16604
• Fix all flake8 errors by @haifeng-jin in #16621
• Update lint.yml by @haifeng-jin in #16648
• Fix typo error of tf.compat.v1.keras.experimental for export and load model by @gadagashwini in #16636
• Fix documentation in keras.datasets.imdb by @luckynozomi in #16673
• Update init.py by @Wehzie in #16557
• Fix documentation in keras.layers.attention.multi_head_attention by @balvisio in #16683
• Fix missed parameter from AUC config by @weipeilun in #16499
• Fix bug for KerasTensor._keras_mask should be None by @haifeng-jin in #16689
• Fixed some spellings by @synandi in #16693
• Fix batchnorm momentum in ResNetRS by @shkarupa-alex in #16726
• Add variable definitions in optimizer usage example by @miker2241 in #16731
• Fixed issue #16749 by @asukakenji in #16751
• Fix usage of deprecated Pillow interpolation methods by @neoaggelos in #16746
• 📝 Add typing to some callback classes by @gabrieldemarmiesse in #16692
• Add support for Keras mask & causal mask to MultiHeadAttention by @ageron in #16619
• Update standard name by @chunduriv in #16772
• Fix error when labels contains brackets when plotting model by @cBournhonesque in #16739
• Fixing the incorrect link in input_layer.py by @tilakrayal in #16767
• Formatted callback.py to render correctly by @jvishnuvardhan in #16765
• Fixed typo in docs by @ltiao in #16778
• docs: Fix a few typos by @timgates42 in #16789
• Add ignore_class to sparse crossentropy and IoU by @lucasdavid in #16712
• Updated f-string method by @cyai in #16799
• Fix NASNet input shape computation by @ianstenbit in #16818
• Fix incorrect ref. to learning_rate_schedule during module import by @lucasdavid in #16813
• Fixing the incorrect link in backend.py by @tilakrayal in #16806
• Corrected DepthwiseConv1D docstring by @AdityaKane2001 in #16807
• Typo and grammar: "recieved" by @ehrencrona in #16814
• Fix typo in doc by @DyeKuu in #16821
• Update README.md by @freddy1020 in #16823
• Updated f-string method by @cyai in #16775
• Add is_legacy_optimizer to optimizer config to keep saving/loading consistent. by @copybara-service in #16842
• Used Flynt to update f-string method by @cyai in #16774
• CONTRIBUTING.md file updated by @nivasgopi30 in #16084
• Updated f-string method by @cyai in #16777
• added an encoding parameter to TextVectorization layer by @tonyrubanraj in #16805
• Incorrectly rendered table by @chunduriv in #16839
• fix(v1): avoid calling training_v1.Model.metrics during PREDICT by @s22chan in #16603
• Update tf.keras.preprocessing.image* to tf.keras.utils* by @chunduriv in #16864
• Updating get_file() to respect KERAS_HOME environment variable by @adrianjhpc in #16877
• Add f-string format and check with flynt for the whole codebase by @edumucelli in #16872
• configurable distribute_reduction_method in Model. by @kretes in #16664
• Fix docs of metrics parameter in compile by @matangover in #16893
• [Refactoring] making the code more Succinct and Pythonic by @maldil in #16874
• Fix Value Error for Units of tf.keras.layers.LSTM by @gadagashwini in #16929
• Fix Value error for Units of tf.keras.layers.SimpleRNN by @gadagashwini in #16926
• Fix value error for Units of tf.keras.layers.Dense by @gadagashwini in #16921
• Fixed: #16936 broken hyperlink by @Anselmoo in #16937
• Fix Value error of tf.keras.layers.GRU by @gadagashwini in #16963
• Update Returns section in compute_output_shape by @chunduriv in #16955
• Implement compute_output_shape() method for MultiHeadAttention #16951 by @Pouyanpi in #16989
• Typo fixed by @edwardyehuang in #17000
• PR for solving issue #16797 by @JaimeArboleda in #16870
• Add imports to base_rnn example by @beyarkay in #17025
• Update conv layer docs to reflect lack of CPU support for channels_first by @ianstenbit in #17034
• Fixed Broken link of paper jozefowicz15 et al by @mohantym in #17038
• GitHub Workflows security hardening by @sashashura in #17050
• Update normalization.py to fix a bug when "denormalizing" by @Vincent-SV in #17054
• Fix IndexError when outs is empty by @rhelmeczi in #17081
• Fix typos in docstrings by @pitmonticone in #17096
• EarlyStopping add initial warm-up #16793 by @inonbe in #17022
• More Tests for customizable reduction strategy in model by @lucasdavid in #16922
• Fix Batch Normalization inference behavior when virtual_batch_size is set by @myaaaaaaaaa in #17065
• Include dictionary comprehension by @boneyag in #17119
• Fixes ConvNeXt and RegNet when input_tensor is given by @shanejohnpaul in #17068
• Cherrypick the fix for zlib by @qlzh727 in #17153
• Cherrypick all the fixes since last branch cut to r2.11. by @qlzh727 in #17160
• Cherrypick 2 more changes for the optimizer docstring fix. by @qlzh727 in #17165

New Contributors

• @bmatschke made their first contribution in #16331
• @taegeonum made their first contribution in #16326
• @markub3327 made their first contribution in #16274
• @peskaf made their first contribution in #16364
• @Haaris-Rahman made their first contribution in #16413
• @hctomkins made their first contribution in #16402
• @itmo153277 made their first contribution in #16408
• @hazemessamm made their first contribution in #16388
• @prakashsellathurai made their first contribution in #16398
• @markus-hinsche made their first contribution in #16337
• @sayakpaul made their first contribution in #16421
• @Kiwiakos made their first contribution in #16521
• @tilakrayal made their first contribution in #16460
• @eltociear made their first contribution in #16568
• @szutenberg made their first contribution in #16537
• @m-ahmadi made their first contribution in #16607
• @luckynozomi made their first contribution in #16673
• @Wehzie made their first contribution in #16557
• @balvisio made their first contribution in #16683
• @weipeilun made their first contribution in #16499
• @synandi made their first contribution in #16693
• @shkarupa-alex made their first contribution in #16726
• @miker2241 made their first contribution in #16731
• @asukakenji made their first contribution in #16751
• @neoaggelos made their first contribution in #16746
• @cBournhonesque made their first contribution in #16739
• @ltiao made their first contribution in #16778
• @timgates42 made their first contribution in #16789
• @cyai made their first contribution in #16799
• @ianstenbit made their first contribution in #16818
• @ehrencrona made their first contribution in #16814
• @DyeKuu made their first contribution in #16821
• @freddy1020 made their first contribution in #16823
• @nivasgopi30 made their first contribution in #16084
• @tonyrubanraj made their first contribution in #16805
• @s22chan made their first contribution in #16603
• @adrianjhpc made their first contribution in #16877
• @edumucelli made their first contribution in #16872
• @kretes made their first contribution in #16664
• @matangover made their first contribution in #16893
• @maldil made their first contribution in #16874
• @Anselmoo made their first contribution in #16937
• @Pouyanpi made their first contribution in #16989
• @edwardyehuang made their first contribution in #17000
• @JaimeArboleda made their first contribution in #16870
• @beyarkay made their first contribution in #17025
• @mohantym made their first contribution in #17038
• @sashashura made their first contribution in #17050
• @Vincent-SV made their first contribution in #17054
• @rhelmeczi made their first contribution in #17081
• @pitmonticone made their first contribution in #17096
• @inonbe made their first contribution in #17022
• @myaaaaaaaaa made their first contribution in #17065
• @boneyag made their first contribution in #17119
• @shanejohnpaul made their first contribution in #17068

Full Changelog: v2.10.0...v2.11.0-rc1