v3.2.0

版本发布时间: 2024-04-09 05:21:33

keras-team/keras最新发布版本:v3.6.0(2024-10-04 03:44:23)

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.

Full Changelog: https://github.com/keras-team/keras/compare/v3.1.1...v3.2.0