keras
https://github.com/keras-team/keras
Python
Deep Learning for humans
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- Issues
- Losses and metrics round class ids, counts and probabilities in `bfloat16` and `float16`, and do not cast a non-float `y_pred` to `floatx`
- Integer and `bool` inputs give incorrect or backend-dependent results in contractions, `bool` arithmetic and `clip`
- Layers return a dtype different from their symbolic output, or fail, for integer and bool inputs and half-precision dtypes
- Backend ops do not canonicalize list and tuple arguments or convert Python inputs, so Functional models fail after a `.keras` reload
- OpenVINO backend: ops return wrong values or fail (scalar operands in the wrong element type, three CPU-plugin bugs, shape bugs)
- Backend kernels do not follow the op spec: ignored `dtype` arguments, rejected index dtypes, wrong output structure
- Layer.__delattr__ does not untrack sub-layers
- Fix several Doc issues for `mobilenet`, `mobilenet_v2`, and `mobilenet_v3`
- Fix two dtype-policy handling bugs in Layer
- Fix GPTQ/AWQ policy names corrupting to _from_None
- Docs
- Python not yet supported