[GitHub] jerrin92 commented on issue #8874: mxnet installation from source: C++ linkage error on HPC

[GitBox <gi...@apache.org>]

jerrin92 commented on issue #8874: mxnet installation from source: C++ linkage error on HPC
URL: https://github.com/apache/incubator-mxnet/issues/8874#issuecomment-351112576
 
 
   Copied below is the config.mk
   
   `#-------------------------------------------------------------------------------
   #  Template configuration for compiling mxnet
   #
   #  If you want to change the configuration, please use the following
   #  steps. Assume you are on the root directory of mxnet. First copy the this
   #  file so that any local changes will be ignored by git
   #
   #  $ cp make/config.mk .
   #
   #  Next modify the according entries, and then compile by
   #
   #  $ make
   #
   #  or build in parallel with 8 threads
   #
   #  $ make -j8
   #-------------------------------------------------------------------------------
   
   #---------------------
   # choice of compiler
   #--------------------
   
   export CC = gcc
   export CXX = g++
   export NVCC = nvcc
   
   # whether compile with options for MXNet developer
   DEV = 0
   
   # whether compile with debug
   DEBUG = 0
   
   # whether compiler with profiler
   USE_PROFILER =
   
   # the additional link flags you want to add
   ADD_LDFLAGS =
   
   # the additional compile flags you want to add
   ADD_CFLAGS =
   
   #---------------------------------------------
   # matrix computation libraries for CPU/GPU
   #---------------------------------------------
   
   # whether use CUDA during compile
   USE_CUDA = 0
   
   # add the path to CUDA library to link and compile flag
   # if you have already add them to environment variable, leave it as NONE
   # USE_CUDA_PATH = /usr/local/cuda
   USE_CUDA_PATH = NONE
   
   # whether use CuDNN R3 library
   USE_CUDNN = 0
   
   # whether use cuda runtime compiling for writing kernels in native language (i.e. Python)
   USE_NVRTC = 0
   
   # whether use opencv during compilation
   # you can disable it, however, you will not able to use
   # imbin iterator
   USE_OPENCV = 1
   
   # use openmp for parallelization
   USE_OPENMP = 1
   
   # MKL ML Library for Intel CPU/Xeon Phi
   # Please refer to MKL_README.md for details
   
   # MKL ML Library folder, need to be root for /usr/local
   # Change to User Home directory for standard user
   # For USE_BLAS!=mkl only
   MKLML_ROOT=/usr/local
   
   # whether use MKL2017 library
   USE_MKL2017 = 0
   
   # whether use MKL2017 experimental feature for high performance
   # Prerequisite USE_MKL2017=1
   USE_MKL2017_EXPERIMENTAL = 0
   
   # whether use NNPACK library
   USE_NNPACK = 0
   
   # choose the version of blas you want to use
   # can be: mkl, blas, atlas, openblas
   # in default use atlas for linux while apple for osx
   UNAME_S := $(shell uname -s)
   ifeq ($(UNAME_S), Darwin)
   USE_BLAS = apple
   else
   USE_BLAS = atlas
   endif
   
   # whether use lapack during compilation
   # only effective when compiled with blas versions openblas/apple/atlas/mkl
   USE_LAPACK = 1
   
   # path to lapack library in case of a non-standard installation
   USE_LAPACK_PATH =
   
   # add path to intel library, you may need it for MKL, if you did not add the path
   # to environment variable
   USE_INTEL_PATH = NONE
   
   # If use MKL only for BLAS, choose static link automatically to allow python wrapper
   ifeq ($(USE_MKL2017), 0)
   ifeq ($(USE_BLAS), mkl)
   USE_STATIC_MKL = 1
   endif
   else
   USE_STATIC_MKL = NONE
   endif
   
   #----------------------------
   # Settings for power and arm arch
   #----------------------------
   ARCH := $(shell uname -a)
   ifneq (,$(filter $(ARCH), armv6l armv7l powerpc64le ppc64le aarch64))
   	USE_SSE=0
   else
   	USE_SSE=1
   endif
   
   #----------------------------
   # distributed computing
   #----------------------------
   
   # whether or not to enable multi-machine supporting
   USE_DIST_KVSTORE = 0
   
   # whether or not allow to read and write HDFS directly. If yes, then hadoop is
   # required
   USE_HDFS = 0
   
   # path to libjvm.so. required if USE_HDFS=1
   LIBJVM=$(JAVA_HOME)/jre/lib/amd64/server
   
   # whether or not allow to read and write AWS S3 directly. If yes, then
   # libcurl4-openssl-dev is required, it can be installed on Ubuntu by
   # sudo apt-get install -y libcurl4-openssl-dev
   USE_S3 = 0
   
   #----------------------------
   # additional operators
   #----------------------------
   
   # path to folders containing projects specific operators that you don't want to put in src/operators
   EXTRA_OPERATORS =
   
   #----------------------------
   # other features
   #----------------------------
   
   # Create C++ interface package
   USE_CPP_PACKAGE = 0
   
   #----------------------------
   # plugins
   #----------------------------
   
   # whether to use caffe integration. This requires installing caffe.
   # You also need to add CAFFE_PATH/build/lib to your LD_LIBRARY_PATH
   # CAFFE_PATH = $(HOME)/caffe
   # MXNET_PLUGINS += plugin/caffe/caffe.mk
   
   # whether to use torch integration. This requires installing torch.
   # You also need to add TORCH_PATH/install/lib to your LD_LIBRARY_PATH
   # TORCH_PATH = $(HOME)/torch
   # MXNET_PLUGINS += plugin/torch/torch.mk
   
   # WARPCTC_PATH = $(HOME)/warp-ctc
   # MXNET_PLUGINS += plugin/warpctc/warpctc.mk
   
   # whether to use sframe integration. This requires build sframe
   # git@github.com:dato-code/SFrame.git
   # SFRAME_PATH = $(HOME)/SFrame
   # MXNET_PLUGINS += plugin/sframe/plugin.mk`
   
   I believe, we are not using MKL

----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
URL above to go to the specific comment.
 
For queries about this service, please contact Infrastructure at:
users@infra.apache.org


With regards,
Apache Git Services