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  • ubuntu18.04 TVM编译安装

    因为tvm版本变化较大,v5.0-v6.0目录结构都不一样,所以安装要参照官方文档

    https://tvm.apache.org/docs/install/from_source.html

    之前在服务器上按照官方文档装都装不上,在运行sudo apt-get update命令时候一直无法更新软件列表,我也没把这个问题放到心上,后来发现公司的代理不能连上阿里源,所以我把源换回了官方,后来按照官方文档装就好了,但是还有几个python的依赖没装上,以后再说吧。

    源文件 /etc/apt/sources.list

    换源的时候记得要备份以前的源文件,换完了不好使也可以直接换回去

    ubuntu18.04官方源

    # deb cdrom:[Ubuntu 18.04.3 LTS _Bionic Beaver_ - Release amd64 (20190805)]/ bionic main restricted
    
    # See http://help.ubuntu.com/community/UpgradeNotes for how to upgrade to
    # newer versions of the distribution.
    deb http://us.archive.ubuntu.com/ubuntu/ bionic main restricted
    # deb-src http://us.archive.ubuntu.com/ubuntu/ bionic main restricted
    
    ## Major bug fix updates produced after the final release of the
    ## distribution.
    deb http://us.archive.ubuntu.com/ubuntu/ bionic-updates main restricted
    # deb-src http://us.archive.ubuntu.com/ubuntu/ bionic-updates main restricted
    
    ## N.B. software from this repository is ENTIRELY UNSUPPORTED by the Ubuntu
    ## team. Also, please note that software in universe WILL NOT receive any
    ## review or updates from the Ubuntu security team.
    deb http://us.archive.ubuntu.com/ubuntu/ bionic universe
    # deb-src http://us.archive.ubuntu.com/ubuntu/ bionic universe
    deb http://us.archive.ubuntu.com/ubuntu/ bionic-updates universe
    # deb-src http://us.archive.ubuntu.com/ubuntu/ bionic-updates universe
    
    ## N.B. software from this repository is ENTIRELY UNSUPPORTED by the Ubuntu 
    ## team, and may not be under a free licence. Please satisfy yourself as to 
    ## your rights to use the software. Also, please note that software in 
    ## multiverse WILL NOT receive any review or updates from the Ubuntu
    ## security team.
    deb http://us.archive.ubuntu.com/ubuntu/ bionic multiverse
    # deb-src http://us.archive.ubuntu.com/ubuntu/ bionic multiverse
    deb http://us.archive.ubuntu.com/ubuntu/ bionic-updates multiverse
    # deb-src http://us.archive.ubuntu.com/ubuntu/ bionic-updates multiverse
    
    ## N.B. software from this repository may not have been tested as
    ## extensively as that contained in the main release, although it includes
    ## newer versions of some applications which may provide useful features.
    ## Also, please note that software in backports WILL NOT receive any review
    ## or updates from the Ubuntu security team.
    deb http://us.archive.ubuntu.com/ubuntu/ bionic-backports main restricted universe multiverse
    # deb-src http://us.archive.ubuntu.com/ubuntu/ bionic-backports main restricted universe multiverse
    
    ## Uncomment the following two lines to add software from Canonical's
    ## 'partner' repository.
    ## This software is not part of Ubuntu, but is offered by Canonical and the
    ## respective vendors as a service to Ubuntu users.
    # deb http://archive.canonical.com/ubuntu bionic partner
    # deb-src http://archive.canonical.com/ubuntu bionic partner
    
    deb http://security.ubuntu.com/ubuntu bionic-security main restricted
    # deb-src http://security.ubuntu.com/ubuntu bionic-security main restricted
    deb http://security.ubuntu.com/ubuntu bionic-security universe
    # deb-src http://security.ubuntu.com/ubuntu bionic-security universe
    deb http://security.ubuntu.com/ubuntu bionic-security multiverse
    # deb-src http://security.ubuntu.com/ubuntu bionic-security multiverse

    换源之后进行更新

    sudo apt-get update
    sudo apt-get upgrade

    新建目录存放tvm源码

    sudo mkdir tvm

    clone代码到本地

    sudo git clone --recursive https://github.com/apache/tvm tvm

    --recursive一定要加上

    查看一下源码结构

    安装需要的库

    sudo apt-get install -y python3 python3-dev python3-setuptools gcc libtinfo-dev zlib1g-dev build-essential cmake libedit-dev libxml2-dev

    在tvm目录中新建build文件夹,后面再build文件夹中进行编译

    sudo mkdir build

    将配置文件拷贝到build文件夹中

    sudo cp cmake/config.cmake build

    在开始编译前需要下载llvm

    下载地址:https://releases.llvm.org/download.html

    直接选择自己系统对应的版本

     点击下载,下载到对应目录中,查看下文件的全名然后进行解压

    sudo xz –d clang+llvm-10.0.0-x86_64-linux-gnu-ubuntu-18.04.tar.xz
    sudo tar –xvf clang+llvm-10.0.0-x86_64-linux-gnu-ubuntu-18.04.tar

    我的路径是这样的

     接下来将路径添加到环境变量中,完整路径可以进入到llvm文件夹中,然后用pwd命令获取

    sudo vim ~/.bashrc

    在.bashrc文件的末尾加上llvm的路径,每个人的路径不一样,要看自己解压的位置

     然后

    source ~/.bashrc

    输入命令

    llvm-config --version

    查看配置是否成功

     成功

    然后要修改build文件夹中的config.cmake文件,将如下选项改为ON

     

     因为我用llvm所以llvm设置为ON,如果用到其他东西,对应选项都要置为ON,详细参照官方文档

    修改完成后开始编译tvm

    先进入到build目录

    cd /home/montage/tvm/build

    开始编译

    sudo cmake ..

    如果编译的时候出现找不到llvm-config的情况,如下:

    CMake Error at cmake/utils/FindLLVM.cmake:47 (find_package):
      Could not find a package configuration file provided by "LLVM" with any of
      the following names:
    
        LLVMConfig.cmake
        llvm-config.cmake
    
      Add the installation prefix of "LLVM" to CMAKE_PREFIX_PATH or set
      "LLVM_DIR" to a directory containing one of the above files.  If "LLVM"
      provides a separate development package or SDK, be sure it has been
      installed.
    Call Stack (most recent call first):
      cmake/modules/LLVM.cmake:31 (find_llvm)
      CMakeLists.txt:337 (include)
    
    
    -- Configuring incomplete, errors occurred!
    See also "/home/aiteam/tvm/build/CMakeFiles/CMakeOutput.log".
    See also "/home/aiteam/tvm/build/CMakeFiles/CMakeError.log".

    说明你的服务器中安装了多个版本的llvm,cmake不能找到明确位置

    解决方法:

    找到之前llvm下载安装的位置,然后将这个llvm-config文件的位置加到tvm/build/config.cmake中

     

     把ON替换成llvm的位置,如红线所示

    再编译就没问题了

    sudo make -j4

     编译完成

    安装conda环境

    服务器上已经装了anaconda,所以直接运行命令就可以了

     出现问题,是网络问题,anaconda是一个集成环境,所以我觉得不装在conda中,直接装在python里应该也不影响,所以继续安装python包

    安装python包

    官方文档一共提供了两种方法

    方法1

    在~/.bashrc中加入路径,然后保存退出,这里TVM_HOME路径通过pwd查看

    方法2

    在环境变量中加入

    export MACOSX_DEPLOYMENT_TARGET=10.9

    进入tvm文件夹中的python文件夹执行如下命令

    python setup.py install --user

     方法2失败,我在自己的虚拟机上也试过这么装,也是同样的错误,所以还是推荐用第一种方法

    安装python依赖

    pip3 install --user numpy decorator attrs

    这个是必需的依赖

    pip3 install --user tornado

    使用RPC Tracker需要安装依赖

    pip3 install --user tornado psutil xgboost cloudpickle
    使用自动debug需要安装的依赖

    就只有前两个包能找到,其他的都找不到
    尝试运行一下官方demo
    from __future__ import absolute_import, print_function
    
    import tvm
    import tvm.testing
    from tvm import te
    import numpy as np
    
    # Global declarations of environment.
    
    tgt_host = "llvm"
    # Change it to respective GPU if gpu is enabled Ex: cuda, opencl, rocm
    tgt = "cuda"
    
    
    n = te.var("n")
    A = te.placeholder((n,), name="A")
    B = te.placeholder((n,), name="B")
    C = te.compute(A.shape, lambda i: A[i] + B[i], name="C")
    print(type(C))

     在spyder中也可以运行

    基本上算是成功了,docker安装官网的文档似乎有些问题,所以还是得自己编译安装

    如果编译都成功了,但是在python中导入tvm时出现如下错误

     可能是你的python版本过低,这是我在虚拟机上安装tvm遇到的情况,在python3.6中运行就正常了

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  • 原文地址:https://www.cnblogs.com/wangtianning1223/p/14250470.html
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