• 我在Suse 11 Sp3上使用anaconda安装TensorFlow的过程记录


    我在Suse 11 Sp3上使用anaconda安装TensorFlow的过程记录
    
    准备安装包:
    gcc48  glibc-2.18.tar.gz  SLES-11-SP4-DVD-x86_64-GM-DVD1.iso  tensorflow_install
    ls gcc48/
    gcc-4.8.2.tar.gz  gmp-5.1.3.tar.gz mpc-1.0.1.tar.gz mpfr-3.1.2.tar.bz2
    
    ls tensorflow_install/
    Anaconda2-5.0.1-Linux-x86_64.sh mock-2.0.0-py27_0.tar.bz2  pbr-3.1.1-py27_0.tar.bz2  protobuf-3.5.1-py27_1.tar.bz2  tensorflow-1.4.0-py27_0.tar.bz2  tflearn-0.3.2-py27_0.tar.bz2  tldextract-1.6-py27_0.tar.bz2
    
    开始安装过程,命令如下:
    
    mount -t iso9660 -o loop SLES-11-SP4-DVD-x86_64-GM-DVD1.iso /media/
    zypper ar /media/ suse11sp4iso
    zypper in gcc
    zypper in gcc-c++
    
    cd gcc48/
    tar xzf gcc-4.8.2.tar.gz
    tar xzf mpc-1.0.1.tar.gz
    tar xzf gmp-5.1.3.tar.gz
    tar xjf mpfr-3.1.2.tar.bz2
    cd gmp-5.1.3/
    ./configure
    make -j20
    make install
    
    cd ..
    cd mpfr-3.1.2/
    ./configure
    make -j20
    make install
    cd ..
    
    cd mpc-1.0.1/
    ./configure
    make -j20
    make install
    cd ..
    
    cd gcc-4.8.2/
    mkdir build
    cd build/
    ../configure --enable-checking=release --enable-languages=c,c++ --disable-multilib
    export LD_LIBRARY_PATH=/usr/local/lib:/usr/local/lib64
    make -j20
    make install
    cd ..
    cd ..
    tar xzf glibc-2.18.tar.gz
    cd glibc-2.18/
    mkdir build
    cd build
    ../configure --prefix=/usr --disable-profile --enable-add-ons --with-headers=/usr/include --with-binutils=/usr/bin
    make -j20
    make install
    
    echo "export LD_LIBRARY_PATH=/root/anaconda2/lib/:/usr/local/lib:/usr/local/lib64:$LD_LIBRARY_PATH" >> ~/.bashrc
    cd ..
    cd tensorflow_install/
    
    bash Anaconda2-5.0.1-Linux-x86_64.sh
    conda install --use-local tldextract-1.6-py27_0.tar.bz2
    conda install --use-local mock-2.0.0-py27_0.tar.bz2
    conda install --use-local pbr-3.1.1-py27_0.tar.bz2
    conda install --use-local protobuf-3.5.1-py27_1.tar.bz2
    conda install --use-local tensorflow-1.4.0-py27_0.tar.bz2
    conda install --use-local tflearn-0.3.2-py27_0.tar.bz2

     成功后:

    python

    import tflearn

    没有任何错误

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  • 原文地址:https://www.cnblogs.com/bonelee/p/8391101.html
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