Am Mon, 27 Nov 2023 14:58:45 +0100 schrieb Ralf Gommers <ralf.gommers@gmail.com>:
The NumPy build does not know anything about this. It will just build, and it will simply call the OpenBLAS functionality
Great!
Yes, that is possible. You should be building with a build frontend (pip or pypa/build) and then the invocation will include `-C-Dblas=<your .pc name> -C-Dlapack=<your .pc name>`.
I'm confused about these frontends, I must say. I imagined that if you're using meson, one could just call meson setup/build? That being said: I am not sure now myself how the pkgsrc build actually works right now. There's common machinery to 'build python stuff' and the part about meson-based packages is rather fresh and not documented yet. The build output starts with * Building wheel... + /data/pkg/bin/python3.11 /data/projekte/pkgsrc/work/math/py-numpy/work/numpy-1.26.2/vendored-meson/meson/meson.py setup /data/projekte/pkgsrc/work/math/py-numpy/work/numpy-1.26.2 /data/projekte/pkgsrc/work/math/py-numpy/work/numpy-1.26.2/.mesonpy-_lv … so some wrapped call to a vendored copy of meson that NumPy ships. Adding -Dblas=$CBLAS_PC to that command should do the trick, no? (however that is effected)
And: NumPy needs CBLAS … does it also need LAPACKE instead of LAPACK?
No need for LAPACKE.
Good, if also somewhat weird;-) I'm curious, though: When you need the CBLAS API, why is the dependency called blas and not cblas? In practice, most accelerated libraries offer all APIs in one binary and -Dlapack is already redundant, but when we use the netlib reference, blas, cblas, lapack, and lapacke are distinct entities. Calling cblas just blas where lapack _does_ mean the Fortran one, is rather confusing.
You have to opt in to ILP64, via a `-Duse-ilp64` flag. It will not work to craft a blas.pc which points at a 64-bit BLAS.
So -Dblas=openblas64 -Dlapack=openblas64 -Duse-ilp64 would do it, right? Alrighty then, Thomas PS: You might want to fix that one: ../../numpy/meson.build:124: WARNING: Project targets '>=1.2.99' but uses feature introduced in '1.3.0': dep 'blas' custom lookup. -- Dr. Thomas Orgis HPC @ Universität Hamburg