Bump keras-nightly from 2.5.0.dev2021032900 to 3.6.0.dev2024092903

[dependabot[bot]]

Bumps keras-nightly from 2.5.0.dev2021032900 to 3.6.0.dev2024092903.

Release notes

Sourced from keras-nightly's releases.

Keras 3.5.0

What's Changed

• Add integration with the Hugging Face Hub. You can now save models to Hugging Face Hub directly from keras.Model.save() and load .keras models directly from Hugging Face Hub with keras.saving.load_model().
• Ensure compatibility with NumPy 2.0.
• Add keras.optimizers.Lamb optimizer.
• Improve keras.distribution API support for very large models.
• Add keras.ops.associative_scan op.
• Add keras.ops.searchsorted op.
• Add keras.utils.PyDataset.on_epoch_begin() method.
• Add data_format argument to keras.layers.ZeroPadding1D layer.
• Bug fixes and performance improvements.

Full Changelog: https://github.com/keras-team/keras/compare/v3.4.1...v3.5.0

Keras 3.4.1

This is a minor bugfix release.

Keras 3.4.0

Highlights

• Add support for arbitrary, deeply nested input/output structures in Functional models (e.g. dicts of dicts of lists of inputs or outputs...)
• Add support for optional Functional inputs.
• Introduce keras.dtype_policies.DTypePolicyMap for easy configuration of dtype policies of nested sublayers of a subclassed layer/model.
• New ops:
  • keras.ops.argpartition
  • keras.ops.scan
  • keras.ops.lstsq
  • keras.ops.switch
  • keras.ops.dtype
  • keras.ops.map
  • keras.ops.image.rgb_to_hsv
  • keras.ops.image.hsv_to_rgb

What's changed

• Add support for float8 inference for Dense and EinsumDense layers.
• Add custom name argument in all Keras Applications models.
• Add axis argument in keras.losses.Dice.
• Enable keras.utils.FeatureSpace to be used in a tf.data pipeline even when the backend isn't TensorFlow.
• StringLookup layer can now take tf.SparseTensor as input.
• Metric.variables is now recursive.
• Add training argument to Model.compute_loss().
• Add dtype argument to all losses.
• keras.utils.split_dataset now supports nested structures in dataset.
• Bugs fixes and performance improvements.

Full Changelog: https://github.com/keras-team/keras/compare/v3.3.3...v3.4.0

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