Keras Core 0.1.3 release

Highlights

• Add compatibility with legacy whole-model h5 saving and loading
• Add keras_core.ops.fft and keras_core.ops.fft2
• Add keras_core.ops.image.affine_transform
• Add keras_core.ops.image.extract_patches
• Bug fixes and performance improvements
• Now compatible with TensorFlow versions 2.8 to 2.13

What's Changed

• Add Nadam for torch backend by @haifeng-jin in #551
• Fix multi-dimension sample weights passed to mean metrics by @mattdangerw in #552
• Update operation_utils.py - Added docstrings by @sqali in #514
• Node test by @kamathis4 in #557
• Add affine_transform op to all backends by @james77777778 in #477
• Add FFT Ops by @abheesht17 in #480
• Added CategoryEncoding to keras_core.ops.nn by @hazemessamm in #490
• Symbolic Args test by @kamathis4 in #536
• Converted to Keras Core: DeepLabV3Plus by @anas-rz in #545
• test and move backend agnostic example by @anas-rz in #567
• Port few shot learning with reptile by @anas-rz in #564
• Add some additional TF SavedModel tests by @nkovela1 in #569
• Fixes Torch-GPU Test failure on initializers/random_initializers_test.py by @sampathweb in #575
• Keras tensor functions by @kamathis4 in #576
• add fori_loop op to all 3 backends by @GallagherCommaJack in #462
• Fix Module Utils _available attribute by @sampathweb in #579
• Add some docstrings to keras_core/ops/numpy.py by @guillaumebaquiast in #558
• Add random seed support for torch dropout by @haifeng-jin in #568
• Port Keypoint detection to backend agnostic-keras-core by @anas-rz in #546
• Make random flip backend agnostic by @AmedeoBiolatti in #515
• Convert RandomTranslation to the backend-agnostic implementation by @james77777778 in #572
• doc: DocString for numpy.amax by @pranavvp16 in #582
• Add backend-agnostic video transformers example by @soumik12345 in #583
• Converted cutmix example to Keras Core by @cosmo3769 in #527
• docString for numpy.amin by @pranavvp16 in #586
• Update Tests for specific backend imports by @sampathweb in #591
• implement patch extraction in ops by @anas-rz in #581
• Converted to keras core external attention by @anas-rz in #529
• Backend consistency in handling of empty tensor in min and max by @guillaumebaquiast in #592
• Fix more spots torch != numpy for reductions by @mattdangerw in #596
• Backend-agnostic port of Image classification with Vision Transformer by @soumik12345 in #589
• More backend agnostic in cutmix and mixup file by @cosmo3769 in #593
• Always install the correct version with pip_build by @mattdangerw in #595
• Export ops.cond by @AmedeoBiolatti in #577
• Convert pretrained word embeddings to Keras Core by @freedomtan in #600
• port gcam backend agnostic by @anas-rz in #601
• Converted NER with transformers example to keras_core by @pranavvp16 in #594
• Add tf.keras backwards compat for nearly all non-experimental symbols by @fchollet in #603
• Cache self.call() signature by @haifeng-jin in #606
• Porting over changes to Torch and JAX keras-core distribution guides … by @hertschuh in #607
• Improve TensorFlowTrainer compatibility for TF<2.9 by @taehoonlee in #598
• Convert RandomZoom to backend-agnostic and improve affine_transform by @james77777778 in #574
• Add the unstack operation to keras core by @tirthasheshpatel in #597
• Port digit addition rnn example to keras-core by @anas-rz in #614
• Set Jit compile only if Model supports it by @sampathweb in #616
• Port big transfer to keras core by @anas-rz in #615
• Implements H5 legacy saving for Keras Core by @nkovela1 in #605
• Add docstrings in numpy by @guillaumebaquiast in #617

New Contributors

• @james77777778 made their first contribution in #477
• @hazemessamm made their first contribution in #490
• @GallagherCommaJack made their first contribution in #462
• @guillaumebaquiast made their first contribution in #558
• @AmedeoBiolatti made their first contribution in #515
• @pranavvp16 made their first contribution in #582
• @cosmo3769 made their first contribution in #527
• @freedomtan made their first contribution in #600
• @taehoonlee made their first contribution in #598

Full Changelog: v0.1.2...v0.1.3