Bump keras from 2.2.4 to 2.10.0

[dependabot[bot]]

Bumps keras from 2.2.4 to 2.10.0.

Release notes

Sourced from keras's releases.

Keras Release 2.10.0

Please see the release history at https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0 for more details.

Full Changelog: https://github.com/keras-team/keras/compare/v2.9.0...v2.10.0

Keras Release 2.10.0 RC1

Please see the release history at https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0-rc3 for more details.

What's Changed

• Fix TypeError positional argument when LossScalerOptimizer is used conjointly with tfa wrappers by @​lucasdavid in keras-team/keras#16332
• Add type check to axis by @​sachinprasadhs in keras-team/keras#16208
• minor documention fix by @​bmatschke in keras-team/keras#16331
• Fix typos in data_adapter.py by @​taegeonum in keras-team/keras#16326
• Add exclude_from_weight_decay to AdamW by @​markub3327 in keras-team/keras#16274
• Switching learning/brain dependency to OSS compatible test_util by @​copybara-service in keras-team/keras#16362
• Typo fix in LSTM docstring by @​peskaf in keras-team/keras#16364
• Copy loss and metric to prevent side effect by @​drauh in keras-team/keras#16360
• Denormalization layer by @​markub3327 in keras-team/keras#16350
• Fix reset_states not working when invoked within a tf.function in graph mode. by @​copybara-service in keras-team/keras#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 keras-team/keras#16375
• Add subset="both" functionality to {image|text}_dataset_from_directory() by @​Haaris-Rahman in keras-team/keras#16413
• Fix non-float32 efficientnet calls by @​hctomkins in keras-team/keras#16402
• Fix prediction with structured output by @​itmo153277 in keras-team/keras#16408
• Add reference to resource variables. by @​sachinprasadhs in keras-team/keras#16409
• added audio_dataset.py by @​hazemessamm in keras-team/keras#16388
• Fix Syntax error for combined_model.compile of WideDeepModel by @​gadagashwini in keras-team/keras#16447
• Missing f prefix on f-strings fix by @​code-review-doctor in keras-team/keras#16459
• Update CONTRIBUTING.md by @​rthadur in keras-team/keras#15998
• adds split_dataset utility by @​prakashsellathurai in keras-team/keras#16398
• Support increasing batch size by @​markus-hinsche in keras-team/keras#16337
• Add ConvNeXt models by @​sayakpaul in keras-team/keras#16421
• Fix OrthogonalRegularizer to implement the (1,1) matrix norm by @​Kiwiakos in keras-team/keras#16521
• fix: weight keys so that imagenet init works by @​sayakpaul in keras-team/keras#16528
• Preprocess input correction by @​AdityaKane2001 in keras-team/keras#16527
• Fix typo in documentation by @​sushreebarsa in keras-team/keras#16534
• Update index_lookup.py by @​tilakrayal in keras-team/keras#16460
• update codespaces bazel install by @​haifeng-jin in keras-team/keras#16575
• reduce too long lines in engine/ by @​haifeng-jin in keras-team/keras#16579
• Fix typos by @​eltociear in keras-team/keras#16568
• Fix mixed precision serialization of group convs by @​lgeiger in keras-team/keras#16571
• reduce layers line-too-long by @​haifeng-jin in keras-team/keras#16580
• resolve line-too-long in root directory by @​haifeng-jin in keras-team/keras#16584
• resolve line-too-long in metrics by @​haifeng-jin in keras-team/keras#16586
• resolve line-too-long in optimizers by @​haifeng-jin in keras-team/keras#16587
• resolve line-too-long in distribute by @​haifeng-jin in keras-team/keras#16594
• resolve line-too-long in integration_test by @​haifeng-jin in keras-team/keras#16599
• resovle line-too-long in legacy-tf-layers by @​haifeng-jin in keras-team/keras#16600
• resolve line-too-long in initializers by @​haifeng-jin in keras-team/keras#16598
• resolve line-too-long in api by @​haifeng-jin in keras-team/keras#16592
• resolve line-too-long in benchmarks by @​haifeng-jin in keras-team/keras#16593

... (truncated)

Commits

• b80dd12 Add is_legacy_optimizer to optimizer config to keep saving/loading consiste...
• 8cdcea7 Enable the tf.random.Generator for all the keras RNG related code.
• a2ad3ef Add is_legacy_optimizer to optimizer config to keep saving/loading consistent.
• 3e31a22 Add is_legacy_optimizer to optimizer config to keep saving/loading consistent.
• d25f091 Merge pull request #16775 from cyai:benchmarks-patch
• 015a0bc Keras training: Give up on inferring steps if the dataset is not a `tf.data.D...
• f65a500 Merge pull request #16823 from freddy1020:master
• 6196424 Enable the tf.random.Generator for all the keras RNG related code.
• d85e3dd Make it able to set learning_rate as a LearningRateSchedule after initializ...
• dcbf152 Update label from "stat: awaiting response" to "stat:awaiting response from c...
• Additional commits viewable in compare view

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