tensorflow (centos7 ,cuda9.2 cudnn7 python 3.6环境)源码安装步骤

1.安装nccl
    && git clone https://github.com/NVIDIA/nccl.git \
    && pip3 install cython -i https://pypi.tuna.tsinghua.edu.cn/simple \
    && cd nccl && make -j32 src.build CUDA_HOME='/usr/local/cuda-9.0/' NVCC_GENCODE="-gencode=arch=compute_61,code=sm_61" \
    && yum install -y rpm-build rpmdevtools && make -j32 pkg.redhat.build && make install \
    && cd /home && rm -rf nccl \
    # 验证 nccl 是否安装成功
    # cd /home && git clone https://github.com/NVIDIA/nccl-tests.git \
    # cd nccl-tests && make -j32 && ./build/all_reduce_perf -b 8 -e 256M -f 2 -g 2 \
    # cd /home && rm -rf nccl-tests

    # cat /etc/ld.so.conf
   include ld.so.conf.d/*.conf
   # echo "/usr/local/lib" >> /etc/ld.so.conf
   # ldconfig

2.安装git
   wget https://github.com/git/git/archive/v2.9.2.tar.gz && \
    yum -y groupinstall "Development Tools" && \
    yum -y install zlib-devel asciidoc xmlto openssl-devel\
    yum -y install perl-ExtUtils-MakeMaker && \
    tar -xvf v2.9.2.tar.gz && \
    cd git-2.9.2 && \
    autoconf && \
    ./configure --prefix=/usr/local/git && make -j32 install && \
    echo export PATH=/usr/local/git/bin:/usr/libexec/git-core:$PATH  >> /etc/profile && \
    source /etc/profile &&\
    echo export PATH=/usr/local/git/bin:/usr/libexec/git-core:$PATH >> /etc/profile.d/source_profile.sh &&\
    rm -rf /home/*

3.安装python3
cd /home/wth  && \
tar -xvf  Python-3.6.6.tar.xz && \
cd Python-3.6.6 && \
./configure --prefix=/usr/local/python3 && \
make && make install && \
ln -s /usr/local/python3/bin/python3 /usr/bin/python3 && 

ln -s /usr/local/python3/bin/pip3 /usr/bin/pip3

4.安装Bazel 
wget https://github.com/bazelbuild/bazel/releases/download/0.19.1/bazel-0.19.1-installer-linux-x86_64.sh .
chmod +x ./bazel-0.19.1-installer-linux-x86_64.sh
./bazel-0.24.0-installer-linux-x86_64.sh --user

自动补全脚本在 ~/.bazel/bin/bazel-complete.bash，把这个全路径，写入到 ~/.bashrc 文件中
source /path/to/bazel-complete.bash
ln -s /root/bin/bazel /usr/bin/bazel

5.安装protobuf
    cd /home && unzip protobuf-cpp-3.5.1.zip && \
    cd /home/protobuf-3.5.1 && \
    ./configure && make -j32 && make install && ldconfig && \
    cd /home && rm -rf protobuf-3.5.1 && \
    unzip protobuf-python-3.5.1.zip && \
    cd /home/protobuf-3.5.1 && \
    cd python && /usr/local/python3/bin/python3 setup.py build && /usr/local/python3/bin/python3 setup.py install && \

6.编译的时候需要用到numpy，keras_applications，keras_preprocessing

pip install keras_preprocessing numpy keras_applications  -i  https://pypi.tuna.tsinghua.edu.cn/simple

7.下载编译tensorflow
git clone https://github.com/tensorflow/tensorflow.git
cd tensorflow
git pull
git checkout r1.12 #此处可以将1.10换成您想安装的任意版本
./configure

8.安装Java

yum install java-11-openjdk

yum install java-11-openjdk-devel

9.安装Bazel

wget https://github.com/bazelbuild/bazel/releases/download/0.19.1/bazel-0.19.1-installer-linux-x86_64.sh .
chmod +x ./bazel-0.19.1-installer-linux-x86_64.sh
./bazel-0.24.0-installer-linux-x86_64.sh --user

自动补全脚本在 ~/.bazel/bin/bazel-complete.bash，把这个全路径，写入到 ~/.bashrc 文件中
source /path/to/bazel-complete.bash
ln -s /root/bin/bazel /usr/bin/bazel

bazel build --config=opt --config=cuda //tensorflow/tools/pip_package:build_pip_package

10.下载编译tensorflow
git clone https://github.com/tensorflow/tensorflow.git
cd tensorflow
git pull
git checkout r1.12 #此处可以将1.10换成您想安装的任意版本
./configure

11.将其打包成能够使用pip安装的whl包

bazel-bin/tensorflow/tools/pip_package/build_pip_package /home/tensorflow

12.pip install /home/tensorflow_pkg/*.whl