f6c33f3e89
Before commitca63464e37(package/python-numpy: bump to version 1.25.0), numpy was using python distuils. Then, the default for BLAS and LAPACK detection was to disable support if they were not found, even when OPENBLAS is installed on the host system. Commitca63464e37switched python-numpy to use the meson-package infrastructure, where the default has changed, and now fails when the host system does have OPENBLAS installed: buildroot$ make >>> host-python-numpy 1.25.0 Configuring [...] Run-time dependency openblas found: NO (tried pkgconfig and cmake) WARNING: CMake Toolchain: Failed to determine CMake compilers state Run-time dependency openblas found: YES 0.3.21 Dependency openblas found: YES 0.3.21 (cached) Program _build_utils/process_src_template.py found: YES (/path/to/buildroot/output/host/bin/python3 /path/to/buildroot/output/build/host-python-numpy-1.25.0/numpy/_build_utils/process_src_template.py) Program _build_utils/tempita.py found: YES (/path/to/buildroot/output/build/host-python-numpy-1.25.0/numpy/_build_utils/tempita.py) output/build/host-python-numpy-1.25.0/numpy/meson.build:201:44: ERROR: Could not get cmake variable and no default provided for <CMakeDependency OpenBLAS: True None> [...] Two obvious ways to correct this: - Add some kind of host-lapack / host-openblas dependency to host-python-numpy, or - Tell host-python-numpy not to look for (or rely on) external code. Because the host numpy environment shouldn't be doing any numerical heavy lifting, we opt for the latter here. Signed-off-by: Graeme Smecher <gsmecher@threespeedlogic.com> [yann.morin.1998@free.fr: - explain why the issue was not found before ] Signed-off-by: Yann E. MORIN <yann.morin.1998@free.fr>
63 lines
2.2 KiB
Makefile
63 lines
2.2 KiB
Makefile
################################################################################
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#
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# python-numpy
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#
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################################################################################
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PYTHON_NUMPY_VERSION = 1.25.0
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PYTHON_NUMPY_SOURCE = numpy-$(PYTHON_NUMPY_VERSION).tar.gz
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PYTHON_NUMPY_SITE = https://github.com/numpy/numpy/releases/download/v$(PYTHON_NUMPY_VERSION)
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PYTHON_NUMPY_LICENSE = BSD-3-Clause, MIT, Zlib
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PYTHON_NUMPY_LICENSE_FILES = \
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LICENSE.txt \
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numpy/core/src/multiarray/dragon4.c \
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numpy/core/include/numpy/libdivide/LICENSE.txt \
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numpy/linalg/lapack_lite/LICENSE.txt \
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tools/npy_tempita/license.txt
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PYTHON_NUMPY_CPE_ID_VENDOR = numpy
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PYTHON_NUMPY_CPE_ID_PRODUCT = numpy
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PYTHON_NUMPY_DEPENDENCIES = host-python-cython python3
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HOST_PYTHON_NUMPY_DEPENDENCIES = host-python-cython
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PYTHON_NUMPY_CONF_ENV += \
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_PYTHON_SYSCONFIGDATA_NAME=$(PKG_PYTHON_SYSCONFIGDATA_NAME) \
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PYTHONPATH=$(PYTHON3_PATH)
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ifeq ($(BR2_PACKAGE_LAPACK),y)
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PYTHON_NUMPY_DEPENDENCIES += lapack
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PYTHON_NUMPY_CONF_OPTS += -Dlapack=lapack
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else
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PYTHON_NUMPY_CONF_OPTS += -Dlapack=""
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endif
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ifeq ($(BR2_PACKAGE_OPENBLAS),y)
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PYTHON_NUMPY_DEPENDENCIES += openblas
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PYTHON_NUMPY_CONF_OPTS += -Dblas=openblas
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else
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PYTHON_NUMPY_CONF_OPTS += -Dblas=""
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endif
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# Rather than add a host-blas or host-lapack dependencies, just use unoptimized,
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# in-tree code.
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HOST_PYTHON_NUMPY_CONF_OPTS = -Dblas="" -Dlapack=""
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# Fixup the npymath.ini prefix path with actual target staging area where
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# numpy core was built. Without this, target builds using numpy distutils
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# extensions like python-scipy, python-numba cannot find -lnpymath since
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# it uses host libraries (like libnpymath.a).
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# So, the numpy distutils extension packages would explicitly link this
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# config path for their package environment.
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define PYTHON_NUMPY_FIXUP_NPY_PKG_CONFIG_FILES
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$(SED) '/^pkgdir=/d;/^prefix=/i pkgdir=$(PYTHON3_PATH)/site-packages/numpy/core' \
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$(PYTHON3_PATH)/site-packages/numpy/core/lib/npy-pkg-config/npymath.ini
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endef
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PYTHON_NUMPY_POST_INSTALL_STAGING_HOOKS += PYTHON_NUMPY_FIXUP_NPY_PKG_CONFIG_FILES
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# Some package may include few headers from NumPy, so let's install it
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# in the staging area.
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PYTHON_NUMPY_INSTALL_STAGING = YES
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$(eval $(meson-package))
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$(eval $(host-meson-package))
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