首先说一下为什么编译安装
通过pip install mxnet 安装遇到 Illegal instruction (core dumped)
已经过一番查找，原来是因为服务器cpu 指令集sse 不支持，mxnet pip安装支持编码集是avx，
| 查看命令：cat /proc/cpuinfo |
| flags : fpu de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx lm constant_tsc nopl xtopology pni cx16 x2apic hypervisor lahf_lm kaiser |
最后下定决心进行编译安装。由于编译安装并没有想象中的那么顺利，于是就对遇到的问题进行汇总，以便帮助跟我一样遇到此类问题的同学们。
编译安装mxnet 1.5.1遇到问题汇总
【问题描述】
/bin/sh: 1: cmake: not found mkldnn.mk:48: recipe for target '/home/***/mxnet/3rdparty/mkldnn/build/install/lib/libdnnl.a' failed make: *** [/home/***/mxnet/3rdparty/mkldnn/build/install/lib/libdnnl.a] Error 127 make: *** Waiting for unfinished jobs.... make[1]: Entering directory '/home/***/mxnet/3rdparty/dmlc-core' make[1]: 'libdmlc.a' is up to date. make[1]: Leaving directory '/home/***/mxnet/3rdparty/dmlc-core' |
发现cmake未安装，
| sudo apt-get install cmake |
【问题描述】
| /build/install/lib/libdnnl.a /home/***/mxnet/3rdparty/dmlc-core/libdmlc.a /home/***/mxnet/3rdparty/tvm/nnvm/lib/libnnvm.a -pthread -ldl -lm -lcblas -fopenmp -lrt -lopencv_highgui -lopencv_imgproc -lopencv_core -llapack a - build/src/executor/eliminate_common_expr_pass.o a - build/src/executor/graph_executor.o a - build/src/executor/infer_graph_attr_pass.o a - build/src/executor/attach_op_execs_pass.o a - build/src/executor/attach_op_resource_pass.o a - build/src/kvstore/gradient_compression.o a - build/src/kvstore/kvstore_utils.o a - build/src/kvstore/kvstore.o a - build/src/resource.o a - build/src/base.o a - build/src/libinfo.o a - build/src/initialize.o /tmp/ccWjRTZm.o: In function `main': im2rec.cc:(.text.startup+0x2994): undefined reference to `cv::imencode(std::string const&, cv::_InputArray const&, std::vector<unsigned char, std::allocator<unsigned char> >&, std::vector<int, std::allocator<int> > const&)' collect2: error: ld returned 1 exit status Makefile:643: recipe for target 'bin/im2rec' failed make: *** [bin/im2rec] Error 1 |
经过查验发现：
tool/im2rec.cc 中imencode 方法中传四个参数， 而libopencv-dev 中的imencode接口传五个参数， 然后查了一下g++与gcc的版本是4.9 所以我就把版本升级到5，就能顺利编译了。
【问题描述】
| creating 'dist/mxnet-1.5.1-py2.7.egg' and adding 'build/bdist.linux-x86_64/egg' to it removing 'build/bdist.linux-x86_64/egg' (and everything under it) Processing mxnet-1.5.1-py2.7.egg creating /usr/local/lib/pythonpy2.7/dist-packages/mxnet-1.6.0-pypy2.7.egg Extracting mxnet-1.5.1-pypy2.7.egg to /usr/local/lib/pythonpy2.7/dist-packages Adding mxnet 1.5.1 to easy-install.pth file |
发现安装的mxnet是python2.7的版本，这怎么能行呢？于是乎想一定是操作系统自带的python编译的，反正其他环境已经编译好了，只是在python setup.py install 时，python 的版本不对， 于是乎，把环境切到python3.6.4, 找到mxnet/python/ 执行
| python setup.py install |
正式编译通过，也算完美编译安装mxnet.
还有就是mxnet-mkl 这个加速版本以及mxnet-cuXX 版本安装参数该怎么配置，还需要再研究研究，时间有限，下次有时间再将安装心得分享。