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_decayto 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_statesnot working when invoked within atf.functionin 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
fprefix 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.DATAforTensorLikedatasets 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_optimizerto 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*totf.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_methodin Model. by @kretes in #16664 - Fix docs of
metricsparameter incompileby @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
Returnssection incompute_output_shapeby @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