Peter Hawkins 1cead779a3 Add support for Hessenberg and tridiagonal matrix reductions on CPU.
* Implement jax.scipy.linalg.hessenberg and jax.lax.linalg.hessenberg.
* Export what was previously jax._src.lax.linalg.orgqr as jax.lax.linalg.householder_product, since it can be used with some minor tweaks to compute the unitary matrix of a Hessenberg reduction.
* Implement jax.lax.linalg.tridiagonal, which is the symmetric (Hermitian) equivalent of Hessenberg reduction.

None of these primitives are differentiable at the moment.

PiperOrigin-RevId: 487224934
2022-11-09 06:23:55 -08:00
..
2022-09-26 15:13:12 -07:00

jaxlib: support library for JAX

jaxlib is the support library for JAX. While JAX itself is a pure Python package, jaxlib contains the binary (C/C++) parts of the library, including Python bindings, the XLA compiler, the PJRT runtime, and a handful of handwritten kernels. For more information, including installation and build instructions, refer to main JAX README: https://github.com/google/jax/.