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Would it be possible to add a function that computes the eigenvalues and eigenvectors of a square matrix the same way it is implemented in:
- Numpy (https://numpy.org/doc/2.2/reference/generated/numpy.linalg.eig.html)
- Jax (https://docs.jax.dev/en/latest/_autosummary/jax.numpy.linalg.eig.html#jax.numpy.linalg.eig)
- Torch (https://docs.pytorch.org/docs/stable/generated/torch.linalg.eig.html)
This is needed in the Keras MLX backend support. keras-team/keras#19571
Thanks!
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