Keras Core 0.1.5 release

Highlights

• Add model.export() flow.
• Add ops rsqrt, extract_sequences, rfft, stft, irfft, istft.
• Bug fixes and performance improvements.
• ops.shape now returns a tuple with all backends (rather than a TF tensor with the TF backend). The tuple may contain scalar tensors for dynamic dimensions, and contains integers otherwise for static dimensions.

What's Changed

• Ensure backwards compatibility for legacy H5 saving format by @nkovela1 in #682
• Encapsulate build logic by @grasskin in #679
• Fix the --install arg doesn't work by @haifeng-jin in #686
• Convert to tensor for jax ops.numpy.transpose by @mattdangerw in #687
• Fix custom functional reload issue by @fchollet in #693
• Update the softmax default to axis=-1 by @mattdangerw in #694
• Random Flip for batched inputs by @guillaumebaquiast in #698
• Fix TextVectorization + Sequential bug by @fchollet in #696
• Add Export for TF backend by @nkovela1 in #692
• Fix typo in WhileLoop docstring in core.py by @Faisal-Alsrheed in #703
• Add activation docstrings // ops.nn.py by @Frightera in #705
• Remove tf dependency from math_test by @Frightera in #706
• Little cleanup in backend - config.py / export.py by @Frightera in #709
• Fix Issue in SegmentMax's Symbolic Call in keras_core/ops/math.py by @Faisal-Alsrheed in #713
• Replace tf.keras for expected result in Conv1D Test by @sampathweb in #725
• Add some additional H5 saving test coverage by @nkovela1 in #724
• Always return a tuple from ops.shape by @mattdangerw in #722
• Only compute mean once in layernorm by @mattdangerw in #721
• Add rsqrt to ops API by @shivance in #708
• Fix position encoder in examples/.../token_learner.py by @guillaumebaquiast in #727
• Support keras.Input in get_source_inputs by @haifeng-jin in #732
• Convert cyclegan to keras-core by @freedomtan in #728
• Add rms_scaling in LayerNormalization by @shivance in #726
• Docstrings for numpy ops by @FayazRahman in #714
• Add extract_sequences, rfft and stft to ops.math by @james77777778 in #717
• Apply scipy LazyModule by @james77777778 in #734
• Support torch symbolic call for normalization layer in preprocessing by @haifeng-jin in #739
• Replace tf.keras with numpy for conv2d and conv3d tests by @sampathweb in #740
• Enhanced Docstrings and Examples in /ops/function.py, /ops/math.py and /ops/nn.py. by @Faisal-Alsrheed in #736
• Fixed uniqueness bug and bits->bytes by @jackd in #747
• Add Examples to numpy.py functions by @Faisal-Alsrheed in #745
• Use convert_to_numpy in hashing and tests by @james77777778 in #748
• Convert ddim by @freedomtan in #743
• Add irfft and istft by @james77777778 in #742
• ported hashed-crossing by @asingh9530 in #685
• Add a high level API for distribution for JAX backend. by @qlzh727 in #741
• An attempt to add MPS device to torch backend by @M7Saad in #750
• Remove tf.keras from depthwise and separable conv tests by @sampathweb in #752
• Fix bug + Add Tests + Enhance docstrings (shape_equal) by @Faisal-Alsrheed in #751
• Fix standardize_shape by @james77777778 in #753
• Fix naming in mobilenet_v3 and densenet by @james77777778 in #759
• Enhance docstrings + easy to understand examples (nn.py) by @Faisal-Alsrheed in #758
• Remove backend.DYNAMIC_SHAPES_OK as dynamic shapes are supported in a… by @hertschuh in #763

New Contributors

• @Faisal-Alsrheed made their first contribution in #703
• @shivance made their first contribution in #708
• @jackd made their first contribution in #747
• @M7Saad made their first contribution in #750

Full Changelog: v0.1.4...v0.1.5