Сборка numpy 2.3+ без ускоренных библиотек ⇐ Python

[Anonymous]

Сообщение по теме: Скомпилировать numpy БЕЗ Intel MKL/BLAS/ATLAS/LAPACK
Последние версии numpy используют meson для конфигурации сборки. Я могу собрать numpy из исходного кода, но не смог исключить BLAS/LAPACK/... deps.
Вот что я пробовал в рабочем процессе github:

Код: Выделить всё

      - name: Build Numpy no BLAS
run: |
curl -L -o numpy.tar.gz https://github.com/numpy/numpy/releases/download/v2.3.4/numpy-2.3.4.tar.gz
tar -xzf numpy.tar.gz

# patch meson.build to explicit skip blas detection
patch numpy-2.3.4/numpy/meson.build build_tools/numpy_disable_blas.diff

uv pip install meson-python cython build
uv run python -m build --wheel --outdir ~/numpycache --config-setting=setup-args=-Dblas=none --config-setting=setup-args=-Dlapack=none ./numpy-2.3.4

Я исправил meson.build, поскольку нет аргумента, отключающего обнаружение BLAS/LAPACK, после исправления это выглядит следующим образом:

Код: Выделить всё

...
# numpy-2.3.4/numpy/meson.build
# start from line 108

# First try scipy-openblas, and if found don't look for cblas or lapack, we
# know what's inside the scipy-openblas wheels already.
# if blas_name == 'openblas' or blas_name == 'auto'
#   blas = dependency('scipy-openblas', method: 'pkg-config', required: false)
#   if blas.found()
#     blas_name = 'scipy-openblas'
#   endif
# endif
# if blas_name == 'auto'
#   foreach _name : blas_order
#     if _name == 'mkl'
#       blas = dependency('mkl',
#         modules: ['cblas'] + blas_interface + mkl_opts,
#         required: false,  # may be required, but we need to emit a custom error message
#         version: mkl_version_req,
#       )
#       # Insert a second try with MKL, because we may be rejecting older versions
#       # or missing it because no pkg-config installed.  If so, we need to retry
#       # with MKL SDL, and drop the version constraint (this always worked).
#       if not blas.found() and mkl_may_use_sdl
#         blas = dependency('mkl', modules: ['cblas', 'sdl: true'], required: false)
#       endif
#     else
#       if _name == 'flexiblas' and use_ilp64
#         _name = 'flexiblas64'
#       endif
#       blas = dependency(_name, modules: ['cblas'] + blas_interface, required: false)
#     endif
#     if blas.found()
#       break
#     endif
#   endforeach
# else
#   if blas_name == 'mkl'
#     blas = dependency('mkl',
#       modules: ['cblas'] + blas_interface + mkl_opts,
#       required: false,
#       version: mkl_version_req,
#     )
#     # Same deal as above - try again for MKL
#     if not blas.found() and mkl_may_use_sdl
#       blas = dependency('mkl', modules: ['cblas', 'sdl: true'], required: false)
#     endif
#   else
#     blas = dependency(blas_name, modules: ['cblas'] + blas_interface, required: false)
#   endif
# endif

blas = disabler()
have_blas = false # blas.found()
if have_blas
_args_blas = ['-DHAVE_CBLAS']  # note: used for C and C++ via `blas_dep` below
if use_ilp64
_args_blas += ['-DHAVE_BLAS_ILP64']
if 'openblas' in blas.name()
_args_blas += ['-DOPENBLAS_ILP64_NAMING_SCHEME']
endif
endif
if blas_symbol_suffix == 'auto'
if blas_name == 'scipy-openblas' and use_ilp64
blas_symbol_suffix = '64_'
else
blas_symbol_suffix = blas.get_variable('symbol_suffix', default_value: '')
endif
message(f'BLAS symbol suffix: @blas_symbol_suffix@')
endif
if blas_symbol_suffix != ''
_args_blas += ['-DBLAS_SYMBOL_SUFFIX=' + blas_symbol_suffix]
endif
blas_dep = declare_dependency(
dependencies: [blas],
compile_args: _args_blas,
)
else
if allow_noblas
blas_dep = []
else
error('No BLAS library detected! Install one, or use the ' + \
'`allow-noblas` build option (note, this may be up to 100x slower ' + \
'for some linear algebra operations).')
endif
endif

# if 'mkl' in blas.name() or blas.name() == 'accelerate' or blas_name == 'scipy-openblas'
#   # For these libraries we know that they contain LAPACK, and it's desirable to
#   # use that - no need to run the full detection twice.
#   lapack = blas
# else
#   if lapack_name == 'auto'
#     foreach _name : lapack_order
#       lapack = dependency(_name, modules: ['lapack'] + blas_interface, required: false)
#       if lapack.found()
#         break
#       endif
#     endforeach
#   else
#     lapack = dependency(lapack_name, modules: ['lapack'] + blas_interface, required: false)
#   endif
# endif

lapack = disabler()
have_lapack = false # lapack.found()
if not have_lapack and not allow_noblas
error('No LAPACK library detected! Install one, or use the ' + \
'`allow-noblas` build option (note, this may be up to 100x slower ' + \
'for some linear algebra operations).')
else
lapack_dep = declare_dependency(dependencies: [lapack, blas_dep])
endif

...

Журнал сборки показывает, что переменные, связанные с BLAS, не установлены, и это именно то, что я ожидал.

Код: Выделить всё

Configuring __config__.py using configuration
..\numpy\meson.build:445: WARNING: The variable(s) 'BLAS_INCLUDEDIR', 'BLAS_LIBDIR', 'BLAS_OPENBLAS_CONFIG', 'BLAS_PCFILEDIR', 'BLAS_TYPE_NAME', 'BLAS_VERSION', 'LAPACK_INCLUDEDIR', 'LAPACK_LIBDIR', 'LAPACK_OPENBLAS_CONFIG', 'LAPACK_PCFILEDIR', 'LAPACK_TYPE_NAME', 'LAPACK_VERSION' in the input file 'numpy\__config__.py.in' are not present in the given configuration data.
Checking for size of "short"  : 2
...
Build targets in project: 104
WARNING: Deprecated features used:
* 1.3.0: {'Source file src/umath/svml/linux/avx512/svml_z0_acos_d_la.s in the 'objects' kwarg is not an object.'}
NumPy 2.3.4
User defined options
Native files: /home/runner/work/STDF-Viewer/STDF-Viewer/numpy-2.3.4/.mesonpy-l6ngii4n/meson-python-native-file.ini
b_ndebug    : if-release
b_vscrt     : md
blas        : none
buildtype   : release
lapack      : none
Found ninja-1.13.1 at /usr/local/bin/ninja
+ /usr/local/bin/ninja
[1/512] Copying file numpy/__init__.pxd
...

Однако numpy все же удается обнаружить BLAS, который может быть предустановлен в Github Runner:

Код: Выделить всё

# numpy.show_config()

"Build Dependencies": {
"blas": {
"name": "scipy-openblas",
"found": true,
"version": "0.3.30",
"detection method": "pkgconfig",
"include directory": "/opt/_internal/cpython-3.13.8/lib/python3.13/site-packages/scipy_openblas64/include",
warnings.warn("Install `pyyaml` for better output", stacklevel=1)
"lib directory": "/opt/_internal/cpython-3.13.8/lib/python3.13/site-packages/scipy_openblas64/lib",
"openblas configuration": "OpenBLAS 0.3.30  USE64BITINT DYNAMIC_ARCH NO_AFFINITY Haswell MAX_THREADS=64",
"pc file directory": "/project/.openblas"
},
"lapack": {
"name": "scipy-openblas",
"found": true,
"version": "0.3.30",
"detection method": "pkgconfig",
"include directory": "/opt/_internal/cpython-3.13.8/lib/python3.13/site-packages/scipy_openblas64/include",
"lib directory": "/opt/_internal/cpython-3.13.8/lib/python3.13/site-packages/scipy_openblas64/lib",
"openblas configuration": "OpenBLAS 0.3.30  USE64BITINT DYNAMIC_ARCH NO_AFFINITY Haswell MAX_THREADS=64",
"pc file directory": "/project/.openblas"
}
},

Что-то я пропустил? Как правильно отключить обнаружение BLAS?

Подробнее здесь: https://stackoverflow.com/questions/798 ... -libraries