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rocm_jax/jaxlib/cpu
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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
..
BUILD
Move jaxlib cpu kernels under jaxlib/cpu/.
2022-10-24 10:02:56 -07:00
cpu_kernels.cc
Move jaxlib cpu kernels under jaxlib/cpu/.
2022-10-24 10:02:56 -07:00
ducc_fft_kernels.cc
Move jaxlib cpu kernels under jaxlib/cpu/.
2022-10-24 10:02:56 -07:00
ducc_fft_kernels.h
Move jaxlib cpu kernels under jaxlib/cpu/.
2022-10-24 10:02:56 -07:00
ducc_fft.cc
Move jaxlib cpu kernels under jaxlib/cpu/.
2022-10-24 10:02:56 -07:00
ducc_fft.fbs
Move jaxlib cpu kernels under jaxlib/cpu/.
2022-10-24 10:02:56 -07:00
lapack_kernels_using_lapack.cc
Add support for Hessenberg and tridiagonal matrix reductions on CPU.
2022-11-09 06:23:55 -08:00
lapack_kernels.cc
Add support for Hessenberg and tridiagonal matrix reductions on CPU.
2022-11-09 06:23:55 -08:00
lapack_kernels.h
Add support for Hessenberg and tridiagonal matrix reductions on CPU.
2022-11-09 06:23:55 -08:00
lapack.cc
Add support for Hessenberg and tridiagonal matrix reductions on CPU.
2022-11-09 06:23:55 -08:00