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@dependabot dependabot bot commented on behalf of github Apr 8, 2024

Bumps keras from 3.1.1 to 3.2.0.

Release notes

Sourced from keras's releases.

Keras 3.2.0

What changed

  • Introduce QLoRA-like technique for LoRA fine-tuning of Dense and EinsumDense layers (thereby any LLM) in int8 precision.
  • Extend keras.ops.custom_gradient support to PyTorch.
  • Add keras.layers.JaxLayer and keras.layers.FlaxLayer to wrap JAX/Flax modules as Keras layers.
  • Allow save_model & load_model to accept a file-like object.
  • Add quantization support to the Embedding layer.
  • Make it possible to update metrics inside a custom compute_loss method with all backends.
  • Make it possible to access self.losses inside a custom compute_loss method with the JAX backend.
  • Add keras.losses.Dice loss.
  • Add keras.ops.correlate.
  • Make it possible to use cuDNN LSTM & GRU with a mask with the TensorFlow backend.
  • Better JAX support in model.export(): add support for aliases, finer control over jax2tf options, and dynamic batch shapes.
  • Bug fixes and performance improvements.

New Contributors

Full Changelog: keras-team/keras@v3.1.1...v3.2.0

Commits

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Bumps [keras](https://github.com/keras-team/keras) from 3.1.1 to 3.2.0.
- [Release notes](https://github.com/keras-team/keras/releases)
- [Commits](keras-team/keras@v3.1.1...v3.2.0)

---
updated-dependencies:
- dependency-name: keras
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Apr 8, 2024
@LeoBorai LeoBorai merged commit 04cab06 into main Apr 10, 2024
@LeoBorai LeoBorai deleted the dependabot/pip/keras-3.2.0 branch April 10, 2024 00:25
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