PORTNAME= mxnet DISTVERSION= 1.9.1 PORTREVISION= 3 CATEGORIES= misc # machine-learning MAINTAINER= yuri@FreeBSD.org COMMENT= Apache MXNet: Ultra-scalable deep learning framework WWW= https://mxnet.apache.org/ LICENSE= APACHE20 BROKEN_i386= https://github.com/apache/incubator-mxnet/issues/20832 .if !exists(/usr/include/omp.h) BROKEN= requires OpenMP support that is missing on this architecture .endif BUILD_DEPENDS= googletest>0:devel/googletest LIB_DEPENDS= libdmlc.so:devel/dmlc-core \ liblapack.so:math/lapack \ libopenblas.so:math/openblas USES= cmake compiler:c++11-lang localbase:ldflags USE_GITHUB= yes GH_ACCOUNT= apache GH_PROJECT= incubator-mxnet GH_TUPLE= apache:tvm:efdac94:tvm/3rdparty/tvm \ dmlc:dlpack:3efc489:dlpack/3rdparty/dlpack \ oneapi-src:oneDNN:f40443c:onednn/3rdparty/mkldnn # same as BUILD_DEPENDS=${LOCALBASE}/include/dnnl.h:math/onednn USE_LDCONFIG= yes CMAKE_OFF= USE_CUDA USE_CUDNN USE_MKLDNN USE_NCCL ENABLE_CUDA_RTC \ BUILD_CPP_EXAMPLES USE_JEMALLOC USE_MKL_IF_AVAILABLE LDFLAGS+= -pthread -lexecinfo OPTIONS_DEFINE= CPP OPENCV OPTIONS_DEFAULT= CPP OPENCV OPTIONS_SUB= yes CPP_DESC= Install the C++ binding (cpp-package) CPP_CMAKE_BOOL= USE_CPP_PACKAGE CPP_USES= python:build CPP_VARS= BINARY_ALIAS=python=${PYTHON_CMD} OPENCV_CMAKE_BOOL= USE_OPENCV OPENCV_LIB_DEPENDS= libopencv_core.so:graphics/opencv \ libopencv_videoio.so:graphics/opencv .include .if ${ARCH} != amd64 && ${ARCH} != i386 CMAKE_OFF+= USE_SSE .endif xpost-patch: @${RM} ${WRKSRC}/include/mkldnn/* .for h in dnnl.h dnnl.hpp mkldnn.h mkldnn.hpp mkldnn_dnnl_mangling.h mkldnn_types.h mkldnn_version.h @${LN} -s ${LOCALBASE}/include/${h} ${WRKSRC}/include/mkldnn/${h} .endfor post-install-CPP-on: # https://github.com/apache/incubator-mxnet/issues/17080 @cd ${STAGEDIR}${PREFIX} && ${RM} include/mxnet-cpp/.gitignore include/mxnet-cpp/CPPLINT.cfg .include