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Date: Wed, 15 Mar 2023 10:18:43 GMT
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To: ports-committers@FreeBSD.org, dev-commits-ports-all@FreeBSD.org,
dev-commits-ports-main@FreeBSD.org
From: Yuri Victorovich <yuri@FreeBSD.org>
Subject: git: 3f9d30d72799 - main - math/onednn252: New port: Intel(R) Math Kernel Library for Deep Neural Networks
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The branch main has been updated by yuri:
URL: https://cgit.FreeBSD.org/ports/commit/?id=3f9d30d7279954888d1c470968347a6de3eed69e
commit 3f9d30d7279954888d1c470968347a6de3eed69e
Author: Yuri Victorovich <yuri@FreeBSD.org>
AuthorDate: 2023-03-15 10:08:57 +0000
Commit: Yuri Victorovich <yuri@FreeBSD.org>
CommitDate: 2023-03-15 10:18:40 +0000
math/onednn252: New port: Intel(R) Math Kernel Library for Deep Neural Networks
Resurrect onednn-2.5.2 for math/flashlight.
---
math/Makefile | 1 +
math/onednn252/Makefile | 82 +++++++++++++++++++++++++
math/onednn252/distinfo | 3 +
math/onednn252/files/patch-cmake_platform.cmake | 60 ++++++++++++++++++
math/onednn252/pkg-descr | 9 +++
math/onednn252/pkg-plist | 36 +++++++++++
6 files changed, 191 insertions(+)
diff --git a/math/Makefile b/math/Makefile
index 89a6d0d79386..cc1ff6d236f0 100644
--- a/math/Makefile
+++ b/math/Makefile
@@ -649,6 +649,7 @@
SUBDIR += oink
SUBDIR += oleo
SUBDIR += onednn
+ SUBDIR += onednn252
SUBDIR += openblas
SUBDIR += openfst
SUBDIR += openlibm
diff --git a/math/onednn252/Makefile b/math/onednn252/Makefile
new file mode 100644
index 000000000000..d89827f4be00
--- /dev/null
+++ b/math/onednn252/Makefile
@@ -0,0 +1,82 @@
+PORTNAME= onednn
+DISTVERSIONPREFIX= v
+DISTVERSION= 2.5.2
+CATEGORIES= math # machine-learning
+PKGNAMESUFFIX= 252
+
+MAINTAINER= yuri@FreeBSD.org
+COMMENT= Intel(R) Math Kernel Library for Deep Neural Networks
+WWW= https://01.org/onednn
+
+LICENSE= APACHE20
+LICENSE_FILE= ${WRKSRC}/LICENSE
+
+NOT_FOR_ARCHS= armv6 armv7 i386 mips powerpc powerpcspe
+BROKEN_aarch64= error: sys/prctl.h file not found
+.if !exists(/usr/include/omp.h)
+BROKEN= requires OpenMP support that is missing on this architecture
+.endif
+
+TEST_DEPENDS= bash:shells/bash \
+ libsysinfo>0:devel/libsysinfo
+
+USES= cmake compiler:c++11-lang localbase:ldflags
+USE_LDCONFIG= yes
+
+USE_GITHUB= yes
+GH_ACCOUNT= oneapi-src
+GH_PROJECT= oneDNN
+
+CMAKE_OFF= DNNL_BUILD_TESTS DNNL_BUILD_EXAMPLES
+
+OPTIONS_DEFAULT= SIMD_DEFAULT OPENMP
+OPTIONS_SINGLE= SIMD CPU_RUNTIME
+OPTIONS_SINGLE_SIMD= SIMD_DEFAULT SIMD_NATIVE
+OPTIONS_SINGLE_CPU_RUNTIME= OPENMP TBB SEQ THREADPOOL_STANDALONE THREADPOOL_EIGEN THREADPOOL_TBB
+CPU_RUNTIME_DESC= Threading runtime for CPU engines
+
+OPENMP_CMAKE_ON= -DDNNL_CPU_RUNTIME=OMP
+
+SEQ_DESC= Sequential (no parallelism)
+SEQ_CMAKE_ON= -DDNNL_CPU_RUNTIME=SEQ
+
+SIMD_DEFAULT_DESC= Default, no non-default SIMD instructions are used
+
+SIMD_NATIVE_DESC= Optimize for this CPU
+SIMD_NATIVE_CXXFLAGS= -march=native
+
+SIMD_SSE41_DESC= Use SSE4.1 instructions
+SIMD_SSE41_CXXFLAGS= -msse4.1
+
+TBB_DESC= Threading Building Blocks
+TBB_CMAKE_ON= -DDNNL_CPU_RUNTIME=TBB
+TBB_BROKEN= https://github.com/oneapi-src/oneDNN/issues/876
+
+THREADPOOL_STANDALONE_DESC= Threadpool based on the standalone implementation
+THREADPOOL_STANDALONE_CMAKE_ON= -DDNNL_CPU_RUNTIME=THREADPOOL -D_DNNL_TEST_THREADPOOL_IMPL=STANDALONE
+THREADPOOL_STANDALONE_BROKEN= https://github.com/oneapi-src/oneDNN/issues/877
+THREADPOOL_EIGEN_DESC= Threadpool based on the Eigen implementation
+THREADPOOL_EIGEN_CMAKE_ON= -DDNNL_CPU_RUNTIME=THREADPOOL -D_DNNL_TEST_THREADPOOL_IMPL=EIGEN
+THREADPOOL_TBB_DESC= Threadpool based on the TBB implementation
+THREADPOOL_TBB_CMAKE_ON= -DDNNL_CPU_RUNTIME=THREADPOOL -D_DNNL_TEST_THREADPOOL_IMPL=TBB
+THREADPOOL_TBB_BROKEN= https://github.com/oneapi-src/oneDNN/issues/876
+
+ARCH_LOCAL!= /usr/bin/uname -p # because OPTIONS_SINGLE_SIMD doesn't support per-ARCH values OPTIONS_SINGLE_SIMD_{arch}, like OPTIONS_DEFINE_{arch}
+
+.if ${ARCH_LOCAL} == i386 || ${ARCH_LOCAL} == amd64
+OPTIONS_SINGLE_SIMD+= SIMD_SSE41
+.endif
+
+CXXFLAGS:= ${CXXFLAGS:S/-O2/-O3/} # clang writes wrong binary code when -O2 optimization is used and one testcase is failing, see https://bugs.llvm.org/show_bug.cgi?id=48104
+
+post-install:
+ @${RM} -r ${STAGEDIR}${PREFIX}/share/doc
+
+do-test:
+ @${REINPLACE_CMD} 's| /bin/bash | ${LOCALBASE}/bin/bash |' ${WRKSRC}/tests/CMakeLists.txt
+ @cd ${BUILD_WRKSRC} && \
+ ${SETENV} ${CONFIGURE_ENV} ${CMAKE_BIN} ${CMAKE_ARGS} -DDNNL_BUILD_TESTS=ON ${CMAKE_SOURCE_PATH} && \
+ ${SETENV} ${MAKE_ENV} ${MAKE_CMD} ${MAKE_ARGS} ${ALL_TARGET} && \
+ ${SETENV} ${MAKE_ENV} ${MAKE_CMD} ${MAKE_ARGS} test
+
+.include <bsd.port.mk>
diff --git a/math/onednn252/distinfo b/math/onednn252/distinfo
new file mode 100644
index 000000000000..8bfea9ad6ed3
--- /dev/null
+++ b/math/onednn252/distinfo
@@ -0,0 +1,3 @@
+TIMESTAMP = 1678870409
+SHA256 (oneapi-src-oneDNN-v2.5.2_GH0.tar.gz) = 11d50235afa03571dc70bb6d96a98bfb5d9b53e8c00cc2bfbde78588bd01f6a3
+SIZE (oneapi-src-oneDNN-v2.5.2_GH0.tar.gz) = 5807898
diff --git a/math/onednn252/files/patch-cmake_platform.cmake b/math/onednn252/files/patch-cmake_platform.cmake
new file mode 100644
index 000000000000..390741db48ac
--- /dev/null
+++ b/math/onednn252/files/patch-cmake_platform.cmake
@@ -0,0 +1,60 @@
+--- cmake/platform.cmake.orig 2021-12-07 19:00:25 UTC
++++ cmake/platform.cmake
+@@ -175,7 +175,7 @@ elseif(UNIX OR MINGW)
+ set(DEF_ARCH_OPT_FLAGS "-O3")
+ endif()
+ # For native compilation tune for the host processor
+- if (CMAKE_SYSTEM_PROCESSOR STREQUAL CMAKE_HOST_SYSTEM_PROCESSOR)
++ if (FALSE AND CMAKE_SYSTEM_PROCESSOR STREQUAL CMAKE_HOST_SYSTEM_PROCESSOR)
+ append(DEF_ARCH_OPT_FLAGS "-mcpu=native")
+ endif()
+ elseif(DNNL_TARGET_ARCH STREQUAL "PPC64")
+@@ -183,7 +183,7 @@ elseif(UNIX OR MINGW)
+ set(DEF_ARCH_OPT_FLAGS "-O3")
+ endif()
+ # For native compilation tune for the host processor
+- if (CMAKE_SYSTEM_PROCESSOR STREQUAL CMAKE_HOST_SYSTEM_PROCESSOR)
++ if (FALSE AND CMAKE_SYSTEM_PROCESSOR STREQUAL CMAKE_HOST_SYSTEM_PROCESSOR)
+ append(DEF_ARCH_OPT_FLAGS "-mcpu=native")
+ endif()
+ elseif(DNNL_TARGET_ARCH STREQUAL "S390X")
+@@ -191,10 +191,10 @@ elseif(UNIX OR MINGW)
+ set(DEF_ARCH_OPT_FLAGS "-O3")
+ endif()
+ # For native compilation tune for the host processor
+- if (CMAKE_SYSTEM_PROCESSOR STREQUAL CMAKE_HOST_SYSTEM_PROCESSOR)
++ if (FALSE AND CMAKE_SYSTEM_PROCESSOR STREQUAL CMAKE_HOST_SYSTEM_PROCESSOR)
+ append(DEF_ARCH_OPT_FLAGS "-march=native")
+ endif()
+- elseif(DNNL_TARGET_ARCH STREQUAL "X64")
++ elseif(FALSE AND DNNL_TARGET_ARCH STREQUAL "X64")
+ set(DEF_ARCH_OPT_FLAGS "-msse4.1")
+ endif()
+ # Clang cannot vectorize some loops with #pragma omp simd and gets
+@@ -272,7 +272,7 @@ elseif(UNIX OR MINGW)
+ set(DEF_ARCH_OPT_FLAGS "-O3")
+ endif()
+ # For native compilation tune for the host processor
+- if (CMAKE_SYSTEM_PROCESSOR STREQUAL CMAKE_HOST_SYSTEM_PROCESSOR)
++ if (FALSE AND CMAKE_SYSTEM_PROCESSOR STREQUAL CMAKE_HOST_SYSTEM_PROCESSOR)
+ append(DEF_ARCH_OPT_FLAGS "-mcpu=native")
+ endif()
+ elseif(DNNL_TARGET_ARCH STREQUAL "PPC64")
+@@ -281,7 +281,7 @@ elseif(UNIX OR MINGW)
+ endif()
+ # In GCC, -ftree-vectorize is turned on under -O3 since 2007.
+ # For native compilation tune for the host processor
+- if (CMAKE_SYSTEM_PROCESSOR STREQUAL CMAKE_HOST_SYSTEM_PROCESSOR)
++ if (FALSE AND CMAKE_SYSTEM_PROCESSOR STREQUAL CMAKE_HOST_SYSTEM_PROCESSOR)
+ append(DEF_ARCH_OPT_FLAGS "-mcpu=native")
+ endif()
+ elseif(DNNL_TARGET_ARCH STREQUAL "S390X")
+@@ -290,7 +290,7 @@ elseif(UNIX OR MINGW)
+ endif()
+ # In GCC, -ftree-vectorize is turned on under -O3 since 2007.
+ # For native compilation tune for the host processor
+- if (CMAKE_SYSTEM_PROCESSOR STREQUAL CMAKE_HOST_SYSTEM_PROCESSOR)
++ if (FALSE AND CMAKE_SYSTEM_PROCESSOR STREQUAL CMAKE_HOST_SYSTEM_PROCESSOR)
+ append(DEF_ARCH_OPT_FLAGS "-march=native")
+ endif()
+ elseif(DNNL_TARGET_ARCH STREQUAL "RV64")
diff --git a/math/onednn252/pkg-descr b/math/onednn252/pkg-descr
new file mode 100644
index 000000000000..eb57f7ad4b0b
--- /dev/null
+++ b/math/onednn252/pkg-descr
@@ -0,0 +1,9 @@
+Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) is an
+open source performance library for deep learning applications. The library
+accelerates deep learning applications and framework on Intel(R) architecture.
+Intel(R) MKL-DNN contains vectorized and threaded building blocks which you can
+use to implement deep neural networks (DNN) with C and C++ interfaces.
+
+DNN functionality optimized for Intel architecture is also included in Intel(R)
+Math Kernel Library (Intel(R) MKL). API in this implementation is not compatible
+with Intel MKL-DNN and does not include certain new and experimental features.
diff --git a/math/onednn252/pkg-plist b/math/onednn252/pkg-plist
new file mode 100644
index 000000000000..24bd772e4f67
--- /dev/null
+++ b/math/onednn252/pkg-plist
@@ -0,0 +1,36 @@
+include/dnnl.h
+include/dnnl.hpp
+include/dnnl_config.h
+include/dnnl_debug.h
+include/dnnl_ocl.h
+include/dnnl_ocl.hpp
+include/dnnl_sycl.h
+include/dnnl_sycl.hpp
+include/dnnl_sycl_types.h
+include/dnnl_threadpool.h
+include/dnnl_threadpool.hpp
+include/dnnl_threadpool_iface.hpp
+include/dnnl_types.h
+include/dnnl_version.h
+include/oneapi/dnnl/dnnl.h
+include/oneapi/dnnl/dnnl.hpp
+include/oneapi/dnnl/dnnl_config.h
+include/oneapi/dnnl/dnnl_debug.h
+include/oneapi/dnnl/dnnl_ocl.h
+include/oneapi/dnnl/dnnl_ocl.hpp
+include/oneapi/dnnl/dnnl_ocl_types.h
+include/oneapi/dnnl/dnnl_sycl.h
+include/oneapi/dnnl/dnnl_sycl.hpp
+include/oneapi/dnnl/dnnl_sycl_types.h
+include/oneapi/dnnl/dnnl_threadpool.h
+include/oneapi/dnnl/dnnl_threadpool.hpp
+include/oneapi/dnnl/dnnl_threadpool_iface.hpp
+include/oneapi/dnnl/dnnl_types.h
+include/oneapi/dnnl/dnnl_version.h
+lib/cmake/dnnl/dnnl-config-version.cmake
+lib/cmake/dnnl/dnnl-config.cmake
+lib/cmake/dnnl/dnnl-targets-%%CMAKE_BUILD_TYPE%%.cmake
+lib/cmake/dnnl/dnnl-targets.cmake
+lib/libdnnl.so
+lib/libdnnl.so.2
+lib/libdnnl.so.2.5