keras
https://github.com/keras-team/keras
Python
Deep Learning for humans
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- Issues
- Migrate distillation to backend ops
- Integer and bool inputs give wrong values in several activations, with no error
- torch: float64 `Dense` returns float32 since #23225, and float64 handling on torch is inconsistent
- rms_normalization and layer_normalization truncate integer and bool inputs to the input dtype
- LazyModule.available is True for an attribute-less module left by a partial uninstall
- OrbaxLazyModule.available raises AttributeError instead of returning False
- result_type resolves a Python float to float16 when floatx is bfloat16
- Fixes symbolic output shape inference in AdaptiveMaxPool and AdaptiveAveragePool
- Build(deps): Bump the github-actions group with 3 updates
- `convert_to_tensor(x, dtype=None)` casts non-tensor inputs to float under `floatx="bfloat16"` on JAX and numpy
- Docs
- Python not yet supported