Piotr Kubaj
2a67e706ad
1. powerpc64le needs -DNO_WARN_X86_INTRINSICS for x86 headers inclusion. 2. powerpc* need glog patch, same as the one in ports. 3. pkg-plist hardcodes filename for 15.1-STABLE on amd64, use a hack for that.
149 lines
8.5 KiB
Makefile
149 lines
8.5 KiB
Makefile
# CAVEAT: it needs LD_LIBRARY_PATH=/usr/local/lib/python3.11/site-packages/paddle/libs for now in order for binaries to find the installed libs
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PORTNAME= paddlepaddle
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DISTVERSIONPREFIX= v
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DISTVERSION= 3.3.1
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CATEGORIES= misc python # machine-learning
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PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
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MAINTAINER= yuri@FreeBSD.org
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COMMENT= Python bindings for PaddlePaddle deep learning framework
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WWW= https://www.paddlepaddle.org.cn/ \
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https://github.com/PaddlePaddle/Paddle
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LICENSE= APACHE20
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LICENSE_FILE= ${WRKSRC}/LICENSE
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BUILD_DEPENDS= git:devel/git \
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gmake:devel/gmake \
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${PYTHON_PKGNAMEPREFIX}httpx>=0:www/py-httpx@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}Jinja2>=0:devel/py-Jinja2@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}networkx>=0:math/py-networkx@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}numpy>=1.21:math/py-numpy@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}opt-einsum>=3.3.0:math/py-opt-einsum@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}pillow>=0:graphics/py-pillow@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}pip>=0:devel/py-pip@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}protobuf>=3.20.2:devel/py-protobuf@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}pybind11-stubgen>0:devel/py-pybind11-stubgen@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}pyyaml>0:devel/py-pyyaml@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}safetensors>=0.6.0:misc/py-safetensors@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}setuptools>=63.1.0:devel/py-setuptools@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}typing-extensions>=0:devel/py-typing-extensions@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}wheel>0:devel/py-wheel@${PY_FLAVOR}
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LIB_DEPENDS= libopenblas.so:math/openblas \
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libsleef.so:math/sleef
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RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}httpx>=0:www/py-httpx@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}networkx>=0:math/py-networkx@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}numpy>=1.21:math/py-numpy@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}opt-einsum>=3.3.0:math/py-opt-einsum@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}pillow>=0:graphics/py-pillow@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}protobuf>=3.20.2:devel/py-protobuf@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}safetensors>=0.6.0:misc/py-safetensors@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}typing-extensions>=0:devel/py-typing-extensions@${PY_FLAVOR} \
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gfortran${GCC_DEFAULT}:lang/gcc${GCC_DEFAULT}
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USES= cmake llvm:21 python
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USE_PYTHON= autoplist
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USE_GITHUB= yes
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GH_ACCOUNT= PaddlePaddle
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GH_PROJECT= Paddle
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GH_TUPLE= \
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NVIDIA:cccl:1f6e4bcae0fbf1bbed87f88544d8d2161c490fc1:NVIDIA_cccl/third_party/cccl \
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weidai11:cryptopp:9dcc26c58213abb8351fbb1b2a7a1d2c667366e4:weidai11_cryptopp/third_party/cryptopp \
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noloader:cryptopp-cmake:6d0666c457fbbf6f81819fd2b80f0cb5b6646593:noloader_cryptopp_cmake/third_party/cryptopp-cmake \
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NVIDIA:cub:48b555897ee66bcd057a521ed39d62b7688c7d59:NVIDIA_cub/third_party/cub \
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NVIDIA:cutlass:eefa171318b79cbe2e78514d4cce5cd0fe919d0c:NVIDIA_cutlass/third_party/cutlass \
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dmlc:dlpack:84d107bf416c6bab9ae68ad285876600d230490d:dmlc_dlpack/third_party/dlpack \
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FlagOpen:FlagCX:7c469f4af991bf0f64b8f76d66f8e307a5eaea3f:FlagOpen_FlagCX/third_party/flagcx \
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PaddlePaddle:flash-attention:196115f865fc7f18a7ab55f32510415a788cb85d:PaddlePaddle_flash_attention/third_party/flashattn \
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gflags:gflags:e171aa2d15ed9eb17054558e0b3a6a413bb01067:gflags_gflags/third_party/gflags \
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google:glog:96a2f23dca4cc7180821ca5f32e526314395d26a:google_glog/third_party/glog \
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ziyoujiyi:gloo:8b6b61dfa0dca02b226a01262bfcf0484382048f:ziyoujiyi_gloo/third_party/gloo \
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google:googletest:2fe3bd994b3189899d93f1d5a881e725e046fdc2:google_googletest/third_party/gtest \
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NVIDIA:jitify:57de649139c866eb83acacfe50c92ad7c6278776:NVIDIA_jitify/third_party/jitify \
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libuv:libuv:2e7c07f4d10c1b391a7138471c49f4aae3c47d8d:libuv_libuv/third_party/libuv \
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nlohmann:json:199dea11b17c533721b26249e2dcaee6ca1d51d3:nlohmann_json/third_party/nlohmann_json \
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oneapi-src:oneDNN:28d696724426b943e2f4a0e607f90cdc19aedaf6:oneapi_src_oneDNN/third_party/onednn \
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xianyi:OpenBLAS:5f36f18148603facb6c3540e673610d6b24cbfbb:xianyi_OpenBLAS/third_party/openblas \
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openvinotoolkit:openvino:07ecdf07d2974410dc1d67d9fa2d3433dcab7865:openvinotoolkit_openvino/third_party/openvino \
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protocolbuffers:protobuf:f0dc78d7e6e331b8c6bb2d5283e06aa26883ca7c:protocolbuffers_protobuf/third_party/protobuf \
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pybind:pybind11:a2e59f0e7065404b44dfe92a28aca47ba1378dc4:pybind_pybind11/third_party/pybind \
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Thunderbrook:rocksdb:9e18bf0e273b081de54ef1227e6f1db9e02a472a:Thunderbrook_rocksdb/third_party/rocksdb \
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progschj:ThreadPool:9a42ec1329f259a5f4881a291db1dcb8f2ad9040:progschj_ThreadPool/third_party/threadpool \
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JuliaStrings:utf8proc:3203baa7374d67132384e2830b2183c92351bffc:JuliaStrings_utf8proc/third_party/utf8proc \
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baidu-research:warp-ctc:bdc2b4550453e0ef2d3b5190f9c6103a84eff184:baidu_research_warp_ctc/third_party/warpctc \
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PaddlePaddle:warp-transducer:7ea6bfe748779c245a0fcaa5dd9383826273eff2:PaddlePaddle_warp_transducer/third_party/warprnnt \
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herumi:xbyak:4ca0434b4e78c05e3f3e68bda70e8713668e87d3:herumi_xbyak/third_party/xbyak \
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Cyan4973:xxHash:7cc9639699f64b750c0b82333dced9ea77e8436e:Cyan4973_xxHash/third_party/xxhash \
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jbeder:yaml-cpp:1d8ca1f35eb3a9c9142462b28282a848e5d29a91:jbeder_yaml_cpp/third_party/yaml-cpp \
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madler:zlib:51b7f2abdade71cd9bb0e7a373ef2610ec6f9daf:madler_zlib/third_party/zlib
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USE_GITLAB= nodefault
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GL_TUPLE= \
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libeigen:eigen:f612df273689a19d25b45ca4f8269463207c4fee:libeigen_eigen/third_party/eigen3 \
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https://gitlab.mpcdf.mpg.de:mtr:pocketfft:ea778e37710c07723435b1be58235996d1d43a5a:mtr_pocketfft/third_party/pocketfft
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CMAKE_ON= WITH_PYTHON
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# WITH_MKL includes MKLML (precompiled Linux binaries: libiomp5.so, libmklml_intel.so)
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# that require libpthread.so.0, which does not exist on FreeBSD. Use OpenBLAS instead.
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CMAKE_OFF= WITH_MKL
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# Point cmake to the system OpenBLAS in /usr/local so it finds cblas.h,
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# lapacke.h, and openblas_config.h without building OpenBLAS from source.
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CMAKE_ARGS+= -DOPENBLAS_ROOT=${LOCALBASE}
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# On clang 19 (poudriere), check_cxx_compiler_flag(-fPIC) fails so paddle's
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# cmake/flags.cmake does not add -fPIC to CMAKE_CXX_FLAGS. Force PIC globally
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# via the cmake-native mechanism so all targets (shared and static) compile with
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# position-independent code, which is required when static archives are later
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# linked into libphi_core.so.
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CMAKE_ARGS+= -DCMAKE_POSITION_INDEPENDENT_CODE=ON
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# cmake ExternalProject installs happen during the build phase. FreeBSD's
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# ports system sets DESTDIR=${STAGEDIR} in MAKE_ENV (via ninja.mk) for
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# staging, but cmake ExternalProject uses $ENV{DESTDIR} as prefix, causing
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# third-party library installs to go to ${STAGEDIR}${INSTALL_DIR} instead of
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# ${INSTALL_DIR}. Strip DESTDIR from the build environment so all ExternalProject
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# installs land in the correct paths during the build phase.
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DO_MAKE_BUILD= ${SETENVI} ${WRK_ENV} ${MAKE_ENV:NDESTDIR=*} ${MAKE_CMD} ${MAKE_FLAGS} \
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${MAKEFILE} ${_MAKE_JOBS} ${MAKE_ARGS:N${DESTDIRNAME}=*}
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# PaddlePaddle's phi/common headers specialise std::is_pod, is_floating_point,
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# is_signed, is_unsigned for custom numeric types (float16, bfloat16, float8,
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# complex). Clang 17+ marks these standard traits _LIBCPP_NO_SPECIALIZATIONS
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# which triggers -Winvalid-specialization as an error. Suppress globally.
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CXXFLAGS+= -Wno-invalid-specialization
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CFLAGS_powerpc64le= -DNO_WARN_X86_INTRINSICS
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CXXFLAGS_powerpc64le= -DNO_WARN_X86_INTRINSICS
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WHEEL_TAG= ${:!uname -rm | sed -e 's/[.-]/_/g' -e 's/ /_/g' -e 's/^/freebsd_/' | tr '[:upper:]' '[:lower:]'!}
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PLIST_SUB+= WHEEL_TAG=${WHEEL_TAG}
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#MAKE_JOBS_UNSAFE= yes
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# The cmake build generates CMakeLists.txt files in the source tree (at configure
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# time) that are listed as cmake RERUN_CMAKE dependencies. cmake uses
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# copy-if-different when writing build.ninja, so build.ninja keeps its old mtime
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# if its content hasn't changed. This causes ninja to see those generated files
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# as newer than build.ninja and loop on cmake regeneration. Touch build.ninja
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# after configure to ensure it is always the newest file.
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post-configure:
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@${TOUCH} ${CONFIGURE_WRKSRC}/build.ninja
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# The cmake build places Python modules under opt/paddle/share/wheels,
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# but they need to be in Python site-packages. Run setup.py from the
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# build directory to place Python modules into STAGEDIR.
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post-install:
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@${MKDIR} ${STAGEDIR}${PYTHONPREFIX_SITELIBDIR}
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cd ${BUILD_WRKSRC}/python && \
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${SETENV} ${MAKE_ENV} PYTHONPATH=${STAGEDIR}${PYTHONPREFIX_SITELIBDIR} \
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${PYTHON_CMD} setup.py install \
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--root=${STAGEDIR} \
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--prefix=${PREFIX} \
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--single-version-externally-managed
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@${REINPLACE_CMD} -e '1s|#!/bin/bash|#!/usr/local/bin/bash|' \
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${STAGEDIR}${PREFIX}/bin/paddle
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@${RM} ${STAGEDIR}${PREFIX}/bin/paddle.bak
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.include <bsd.port.mk>
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