keras
https://github.com/keras-team/keras
Python
Deep Learning for humans
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- Issues
- Add cuDNN LSTM for JAX backend
- Adding Torch support for Model Parallel
- Adding torch support for Data Parallel
- Replace cast+multiply masking with ops.where to reduce memory
- Torch backend cast+multiply masking pattern causes unnecessary memory allocations
- CLIPBackbone text_encoder: predict_on_batch() output differs from tf.function on GPU (TF backend)
- Feature Request: Add Grain support for keras.layers.TextVectorization
- Fix/20260 layers property setter
- Fix #20429 — `Attention` layer hardcodes 3-D shape assumptions, breaking N-D inputs
- Fix #19127 — Improve error message for named inputs mismatch in `Functional` model
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