keras
https://github.com/keras-team/keras
Python
Deep Learning for humans
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- Issues
- the layer name scope opens twice per call
- tree walks still run on single-tensor calls whose structure is already known
- perf(layers): extend CallSpec fast path to training=<bool> kwarg
- Fix CosineSimilarity metric dropping axis in get_config
- Escape interpolated fields in make_layer_label
- signature.bind runs on every layer call
- standardize_dtype / result_type do uncached O(n) dtype lookups
- convert_to_tensor always calls .to() because of a str vs torch.device comparison bug
- assert_input_compatibility re-validates the same static InputSpec every call
- Dense and EinsumDense go through generic einsum on torch instead of F.linear
- Docs
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