华为鲲鹏920安装Tensorflow 2.4.1 从下载到安装完整备忘录

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公司要求我在aarch64下运行tensorflow， 找真的不好找， 所以我就只能靠自己编译了， 编译过程很难受，各种问题各种痛苦

(English version translate by GPT-3.5)

说明

  1. 安装过程将全程在docker（CentOS 7）中进行，没安装conda， 使用python3.8环境（当然我也实测过可以在python3.6下安装）
  2. 将使用gcc5.5进行安装
  3. 中途的报错我也是完整记录， 该文章为日志文， 不建议当教程使用
  4. Docker中的CentOS 7为Docker Hub中的CentOS 7原生镜像

创建Docker容器， 准备安装

先创建Docker容器

我将会用下面的命令行来创建一个全新的 容器为centos7的docker镜像， 这个centos7为官方

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docker run -d -p 9222:22 --name=tensorflow-test  -e "container=docker" --privileged=true --restart=always centos:7 /usr/sbin/init

然后， 进入这个docker容器中

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docker exec -it 48097947e31b bash

执行命令和返回结果如下

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[root@ecs-111 ~]# docker run -d -p 9222:22 --name=hanlp-tester  -e "container=docker" --privileged=true --restart=always centos:7 /usr/sbin/init
48097947e31b9950af3e5252001d66f927b2d05b2546d70582db6ffbce3c0813
[root@ecs-111 ~]# docker exec -it 48097947e31b bash
[root@48097947e31b /]#

安装必要组件

然后， 连接进入docker里面， 使用yum安装必要组件， 其中包括ssh工具, 因为新创的centos7容器， 干净得很

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yum install wget curl telnet make net-tools initscripts sudo su openssh-server openssh-clients openssl-devel openssl zlib-devel -y

稍等一会， 就完成了, 别忘了改个root密码，开启openssh

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[root@48097947e31b download]# passwd root
Changing password for user root.
New password: 
Retype new password: 
passwd: all authentication tokens updated successfully.
[root@48097947e31b download]# systemctl start sshd
[root@48097947e31b download]# systemctl enable sshd
[root@48097947e31b download]#

编译Python3.8并安装

编译耗时： 约8分钟

下载Python3.8源码， 并进行编译

我们从这里下载 Python 3.8版本 https://www.python.org/ftp/python/3.8.7/Python-3.8.7.tgz

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wget -c https://www.python.org/ftp/python/3.8.7/Python-3.8.7.tgz

执行的输出如下

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[root@48097947e31b download]# https_proxy= wget -c https://www.python.org/ftp/python/3.8.7/Python-3.8.7.tgz
--2021-02-05 05:21:28--  https://www.python.org/ftp/python/3.8.7/Python-3.8.7.tgz
Resolving www.python.org (www.python.org)... 151.101.228.223, 2a04:4e42:1a::223
Connecting to www.python.org (www.python.org)|151.101.228.223|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 24468684 (23M) [application/octet-stream]
Saving to: 'Python-3.8.7.tgz'

100%[=======================================================>] 24,468,684  1.79MB/s   in 12s    

2021-02-05 05:21:07 (1.90 MB/s) - 'Python-3.8.7.tgz' saved [24468684/24468684]

解压， 并进行编译

  1. 解压Python-3.8.7.tgz

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    tar -zxvf Python-3.8.7.tgz

  2. 安装并启用gcc7 （使用 scl方式，其实后面基本用gcc5.5编译的。。。）

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    yum install centos-release-scl -y
    yum install devtoolset-7 -y
    scl enable devtoolset-7 bash

  3. 验证GCC版本

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    [root@48097947e31b Python-3.8.7]# gcc --version
    gcc (GCC) 7.3.1 20180303 (Red Hat 7.3.1-5)
    Copyright (C) 2017 Free Software Foundation, Inc.
    This is free software; see the source for copying conditions.  There is NO
    warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

  4. 开始编译Python

    make -j6 表示用6个线程进行同时编译， 提升编译速度，前提是这会消耗大量的内存和CPU，如果CPU核数高但是内存不多的可能会报内存不足。 

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    ./configure --with-ssl-default-suites=openssl --enable-optimizations
    make -j6
    make install

    安装成功， 命令行输入python3, 编译安装结束

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    [root@48097947e31b Python-3.8.7]# python3 
    Python 3.8.7 (default, Feb  5 2021, 05:34:43) 
    [GCC 7.3.1 20180303 (Red Hat 7.3.1-5)] on linux
    Type "help", "copyright", "credits" or "license" for more information.
    >>>

准备好Tensorflow

参考的官网是 从源代码构建 | TensorFlow

更新 pip

这里开始得用 pip3，为了加速pip下载， 先把镜像改成aliyun的。不然等死人

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pip3 install -i https://mirrors.aliyun.com/pypi/simple/ pip -U
pip3 config set global.index-url https://mirrors.aliyun.com/pypi/simple/

输出如下

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[root@48097947e31b Python-3.8.7]# pip3 install -i https://mirrors.aliyun.com/pypi/simple/ pip -U
Looking in indexes: https://mirrors.aliyun.com/pypi/simple/
Collecting pip
  Downloading https://mirrors.aliyun.com/pypi/packages/fe/ef/60d7ba03b5c442309ef42e7d69959f73aacccd0d86008362a681c4698e83/pip-21.0.1-py3-none-any.whl (1.5 MB)
     |████████████████████████████████| 1.5 MB 1.4 MB/s 
Installing collected packages: pip
  Attempting uninstall: pip
    Found existing installation: pip 20.2.3
    Uninstalling pip-20.2.3:
      Successfully uninstalled pip-20.2.3
Successfully installed pip-21.0.1
[root@48097947e31b Python-3.8.7]# pip3 config set global.index-url https://mirrors.aliyun.com/pypi/simple/
Writing to /root/.config/pip/pip.conf
[root@48097947e31b Python-3.8.7]#

按官网要求， 安装依赖

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pip3 install -U --user pip numpy wheel
pip3 install -U --user keras_preprocessing --no-deps

控制台输出如下

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[root@48097947e31b Python-3.8.7]# pip install -U --user pip numpy wheel
Looking in indexes: https://mirrors.aliyun.com/pypi/simple/
Requirement already satisfied: pip in /usr/local/lib/python3.8/site-packages (21.0.1)
Collecting numpy
  Downloading https://mirrors.aliyun.com/pypi/packages/3d/e3/56781e03ba3f7eb713af03ad8050957d357fd31685b356c446626436ff3e/numpy-1.20.0-cp38-cp38-manylinux2014_aarch64.whl (12.7 MB)
     |████████████████████████████████| 12.7 MB 238 kB/s 
Collecting wheel
  Downloading https://mirrors.aliyun.com/pypi/packages/65/63/39d04c74222770ed1589c0eaba06c05891801219272420b40311cd60c880/wheel-0.36.2-py2.py3-none-any.whl (35 kB)
Installing collected packages: wheel, numpy
  WARNING: The script wheel is installed in '/root/.local/bin' which is not on PATH.
  Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
  WARNING: The scripts f2py, f2py3 and f2py3.8 are installed in '/root/.local/bin' which is not on PATH.
  Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
Successfully installed numpy-1.20.0 wheel-0.36.2
[root@48097947e31b Python-3.8.7]# pip install -U --user keras_preprocessing --no-deps
Looking in indexes: https://mirrors.aliyun.com/pypi/simple/
Collecting keras_preprocessing
  Downloading https://mirrors.aliyun.com/pypi/packages/79/4c/7c3275a01e12ef9368a892926ab932b33bb13d55794881e3573482b378a7/Keras_Preprocessing-1.1.2-py2.py3-none-any.whl (42 kB)
     |████████████████████████████████| 42 kB 863 kB/s 
Installing collected packages: keras-preprocessing
Successfully installed keras-preprocessing-1.1.2
[root@48097947e31b Python-3.8.7]#

先下载tensorflow的源码包

  1. 从Tensorflow的github上下载 TensorFlow 2.4.1.zip 67MB, 不clone master版本， 使用最后一次的release版, 并解压

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    wget -c https://github.com/tensorflow/tensorflow/archive/v2.4.1.zip
    unzip v2.4.1.zip

    控制台输出

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    [root@48097947e31b download]# wget -c https://github.com/tensorflow/tensorflow/archive/v2.4.1.zip
    --2021-02-05 06:02:22--  https://github.com/tensorflow/tensorflow/archive/v2.4.1.zip
    Connecting to 127.0.0.1:7890... connected.
    Proxy request sent, awaiting response... 302 Found
    Location: https://codeload.github.com/tensorflow/tensorflow/zip/v2.4.1 [following]
    --2021-02-05 06:02:23--  https://codeload.github.com/tensorflow/tensorflow/zip/v2.4.1
    Connecting to 127.0.0.1:7890... connected.
    Proxy request sent, awaiting response... 200 OK
    Length: unspecified [application/zip]
    Saving to: 'v2.4.1.zip'

        [                         <=>                                            ] 16,283,488  1.99MB/s 
    2021-02-05 06:03:53 (765 KB/s) - 'v2.4.1.zip' saved [69346072]
    [root@48097947e31b download]# unzip v2.4.1.zip
    Archive:  v2.4.1.zip
    85c8b2a817f95a3e979ecd1ed95bff1dc1335cff
       creating: tensorflow-2.4.1/
      inflating: tensorflow-2.4.1/.bazelrc  
     extracting: tensorflow-2.4.1/.bazelversion  
       creating: tensorflow-2.4.1/.github/
       creating: tensorflow-2.4.1/.github/ISSUE_TEMPLATE/
    ...
      inflating: tensorflow-2.4.1/tools/tf_env_collect.sh  
    finishing deferred symbolic links:
      tensorflow-2.4.1/.pylintrc -> tensorflow/tools/ci_build/pylintrc
    [root@48097947e31b download]#

  2. 按照官方文档 安装Bazel这一段, 说要安装bazelink可以快速安装合适的bazel

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    原文： 您需要安装 Bazel，才能构建 TensorFlow。您可以使用 Bazelisk 轻松安装 Bazel，并且 Bazelisk 可以自动为 TensorFlow 下载合适的 Bazel 版本。为便于使用，请在 PATH 中将 Bazelisk 添加为 bazel 可执行文件。

    我看了下， 并没有bazelink for aarch64架构的bin， 所以我选择手动编译

手动编译 Bazel

忽略报错， 不算gcc5编译，编译耗时： 约3分钟

下载Bazel合适的版本

前往Tensorflow官网 - 安装Bazel， 然后跟着指引慢慢来

注意网页上这句话： 请务必安装受支持的 Bazel 版本，可以是 tensorflow/configure.py 中指定的介于 _TF_MIN_BAZEL_VERSION 和 _TF_MAX_BAZEL_VERSION 之间的任意版本。

然后，去这个文件夹看下， 它需要什么目录, 内容如下

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cat /root/download/tensorflow-2.4.1/configure.py

...
_TF_BAZELRC_FILENAME = '.tf_configure.bazelrc'
_TF_WORKSPACE_ROOT = ''
_TF_BAZELRC = ''
_TF_CURRENT_BAZEL_VERSION = None
_TF_MIN_BAZEL_VERSION = '3.1.0'
_TF_MAX_BAZEL_VERSION = '3.99.0'
...

最低3.1.0， 最高3.99.0， 那就下3.1.0就成

选择下载文件 bazel-3.1.0-dist.zip 257 MB 文件来自于 Release 3.1.0 · bazelbuild/bazel

解压 bazel-3.1.0-dist.zip

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wget -c https://github.com/bazelbuild/bazel/releases/download/3.1.0/bazel-3.1.0-dist.zip
unzip -d bazel-dist bazel-3.1.0-dist.zip

编译Bazel

  1. 安装依赖软件 Java， 这里选择Java11

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    yum install java-11-openjdk java-11-openjdk-devel -y

  2. 执行编译

    这里强烈建议使用代理， 或者自行下载文件到对应目录下， 不然速度慢的很

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    cd bazel-dist
    ./compile.sh

    控制台输出

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    [root@48097947e31b bazel-dist]# ./compile.sh 
    🍃  Building Bazel from scratch.. （这一步预计要3分钟）
    🍃  Building Bazel with Bazel.(这里开始非常耗时间)
    DEBUG: /tmp/bazel_ZlOoVY5r/out/external/bazel_toolchains/rules/rbe_repo/version_check.bzl:59:9: 
    ...
    bazel_tools/tools/jdk/include/linux' resolves to 'external/bazel_tools/tools/jdk/include/linux' not below the relative path of its package 'src/main/java/com/google/devtools/build/lib/syntax'. This will be an error in the future
    Analyzing: target //src:bazel_nojdk (275 packages loaded, 8010 targets configu\
    red)
        Fetching @remotejdk11_linux_aarch64; fetching 36s
        Fetching https://mirror.bazel.build/...nux_aarch64.tar.gz; 67,991,108B 34s （视网络情况而定， 412MB, 文件下载地址 https://mirror.bazel.build/openjdk/azul-zulu11.37.48-ca-jdk11.0.6/zulu11.37.48-ca-jdk11.0.6-linux_aarch64.tar.gz）
    ...
    [300 / 1,450] 8 actions, 7 running (这一步会等待较长时间，)
        JavacBootstrap .../buildjar/libskylark-deps.jar [for host]; 14s local
        @com_google_protobuf//:protobuf; 2s local
        @com_google_protobuf//:protobuf; 1s local
        @com_google_protobuf//:protobuf; 1s local
        @com_google_protobuf//:protobuf; 0s local
        @com_google_protobuf//:protobuf; 0s local
        @com_google_protobuf//:protobuf; 0s local
        [Scann] @com_google_protobuf//:protobuf

    出现了报错

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    ERROR: /tmp/bazel_ZlOoVY5r/out/external/bazel_tools/third_party/ijar/BUILD:72:1: Linking of rule '@bazel_tools//third_party/ijar:zipper' failed (Exit 1): gcc failed: error executing command 
       (cd /tmp/bazel_ZlOoVY5r/out/execroot/io_bazel && \
       exec env - \
       LD_LIBRARY_PATH=/opt/rh/devtoolset-7/root/usr/lib64:/opt/rh/devtoolset-7/root/usr/lib:/opt/rh/devtoolset-7/root/usr/lib64/dyninst:/opt/rh/devtoolset-7/root/usr/lib/dyninst:/opt/rh/devtoolset-7/root/usr/lib64:/opt/rh/devtoolset-7/root/usr/lib \
       PATH=/opt/rh/devtoolset-7/root/usr/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/root/bin \
       PWD=/proc/self/cwd \
       /opt/rh/devtoolset-7/root/usr/bin/gcc @bazel-out/host/bin/external/bazel_tools/third_party/ijar/zipper-2.params)
    Execution platform: //:default_host_platform
    bazel-out/host/bin/external/bazel_tools/src/main/cpp/util/_objs/filesystem/path_posix.o:path_posix.cc:function blaze_util::SplitPath(std::string const&): error: undefined reference to 'std::basic_string<char, std::char_traits<char>, std::allocator<char> >::basic_string(std::string const&, unsigned long, std::allocator<char> const&)'
    bazel-out/host/bin/external/bazel_tools/src/main/cpp/util/_objs/filesystem/path_posix.o:path_posix.cc:function blaze_util::SplitPath(std::string const&): error: undefined reference to 'std::basic_string<char, std::char_traits<char>, std::allocator<char> >::basic_string(std::string const&, unsigned long, std::allocator<char> const&)'
    collect2: error: ld returned 1 exit status
    Target //src:bazel_nojdk failed to build
    INFO: Elapsed time: 365.761s, Critical Path: 54.37s
    INFO: 659 processes: 659 local.
    FAILED: Build did NOT complete successfully

    似乎查了半天没有找到解决方案， 解决不掉。。。我试着装个gcc5.5版本试试看（编译耗时 约25分钟）

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    wget -c http://ftp.gnu.org/gnu/gcc/gcc-5.5.0/gcc-5.5.0.tar.gz
    tar -zxvf gcc-5.5.0.tar.gz 
    cd gcc-5.5.0
    yum install gmp-devel mpfr-devel libmpc-devel -y
    ./configure --prefix=/usr/local/gcc5.5
    make -j
    make install

    再次编译

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    PATH=/usr/local/gcc5.5/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/root/bin LD_LIBRARY_PATH=/usr/local/gcc5.5/lib64:/usr/local/gcc5.5/lib ./compile.sh

    控制台输出

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    [root@48097947e31b bazel-dist]# PATH=/usr/local/gcc5.5/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/root/bin LD_LIBRARY_PATH=/usr/local/gcc5.5/lib64:/usr/local/gcc5.5/lib ./compile.sh
    🍃  Building Bazel from scratch......
    🍃  Building Bazel with Bazel.
    ...
    Analyzing: target //src:bazel_nojdk (275 packages loaded, 8010 targets configu\
    red)
        Fetching @remotejdk11_linux_aarch64; fetching 11s
        Fetching https://mirror.bazel.build/...linux_aarch64.tar.gz; 8,101,840B 9s（412MB， 这里重新下载有点无语，1.5MB/s情况下约 5分钟）
    [104 / 1,430] 8 actions running
        JavacBootstrap .../buildjar/libskylark-deps.jar [for host]; 22s local
        @com_google_protobuf//:protobuf; 7s local
        @com_google_protobuf//:protobuf; 4s local
        @com_google_protobuf//:protobuf_lite; 3s local
        @com_google_protobuf//:protobuf; 2s local
        @com_google_protobuf//:protobuf_lite; 0s local
        @com_google_protobuf//:protobuf_lite; 0s local
        @com_google_protobuf//:protobuf; 0s local

    再次报错

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    ERROR: /root/download/bazel-dist/src/main/protobuf/BUILD:202:1: Action src/main/protobuf/command_server.grpc.pb.h failed (Exit 1): protoc failed: error executing command 
       (cd /tmp/bazel_fsjZQa4T/out/execroot/io_bazel && \
       exec env - \
       bazel-out/host/bin/external/com_google_protobuf/protoc '--plugin=protoc-gen-PLUGIN=bazel-out/host/bin/third_party/grpc/cpp_plugin' '--PLUGIN_out=bazel-out/aarch64-opt/bin' '--proto_path=.' '--proto_path=.' '--proto_path=bazel-out/aarch64-opt/bin/external/com_google_protobuf/_virtual_imports/descriptor_proto' '--proto_path=bazel-out/aarch64-opt/bin' src/main/protobuf/command_server.proto)
    Execution platform: //:default_host_platform
    /tmp/bazel_fsjZQa4T/out/execroot/io_bazel/bazel-out/host/bin/external/com_google_protobuf/protoc: /lib64/libstdc++.so.6: version `GLIBCXX_3.4.20' not found (required by /tmp/bazel_fsjZQa4T/out/execroot/io_bazel/bazel-out/host/bin/external/com_google_protobuf/protoc)
    /tmp/bazel_fsjZQa4T/out/execroot/io_bazel/bazel-out/host/bin/external/com_google_protobuf/protoc: /lib64/libstdc++.so.6: version `GLIBCXX_3.4.21' not found (required by /tmp/bazel_fsjZQa4T/out/execroot/io_bazel/bazel-out/host/bin/external/com_google_protobuf/protoc)
    /tmp/bazel_fsjZQa4T/out/execroot/io_bazel/bazel-out/host/bin/external/com_google_protobuf/protoc: /lib64/libstdc++.so.6: version `CXXABI_1.3.8' not found (required by /tmp/bazel_fsjZQa4T/out/execroot/io_bazel/bazel-out/host/bin/external/com_google_protobuf/protoc)
    Target //src:bazel_nojdk failed to build
    ERROR: /root/download/bazel-dist/src/main/cpp/BUILD:98:1 Action src/main/protobuf/command_server.grpc.pb.h failed (Exit 1): protoc failed: error executing command 
       (cd /tmp/bazel_fsjZQa4T/out/execroot/io_bazel && \
       exec env - \
       bazel-out/host/bin/external/com_google_protobuf/protoc '--plugin=protoc-gen-PLUGIN=bazel-out/host/bin/third_party/grpc/cpp_plugin' '--PLUGIN_out=bazel-out/aarch64-opt/bin' '--proto_path=.' '--proto_path=.' '--proto_path=bazel-out/aarch64-opt/bin/external/com_google_protobuf/_virtual_imports/descriptor_proto' '--proto_path=bazel-out/aarch64-opt/bin' src/main/protobuf/command_server.proto)
    Execution platform: //:default_host_platform
    INFO: Elapsed time: 370.840s, Critical Path: 58.40s
    INFO: 616 processes: 589 local, 27 worker.
    FAILED: Build did NOT complete successfully

    不错， 这次报错有很明显的错误点了

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    /tmp/bazel_fsjZQa4T/out/execroot/io_bazel/bazel-out/host/bin/external/com_google_protobuf/protoc: /lib64/libstdc++.so.6: version `GLIBCXX_3.4.20' not found (required by /tmp/bazel_fsjZQa4T/out/execroot/io_bazel/bazel-out/host/bin/external/com_google_protobuf/protoc)
    /tmp/bazel_fsjZQa4T/out/execroot/io_bazel/bazel-out/host/bin/external/com_google_protobuf/protoc: /lib64/libstdc++.so.6: version `GLIBCXX_3.4.21' not found (required by /tmp/bazel_fsjZQa4T/out/execroot/io_bazel/bazel-out/host/bin/external/com_google_protobuf/protoc)
    /tmp/bazel_fsjZQa4T/out/execroot/io_bazel/bazel-out/host/bin/external/com_google_protobuf/protoc: /lib64/libstdc++.so.6: version `CXXABI_1.3.8' not found (required by /tmp/bazel_fsjZQa4T/out/execroot/io_bazel/bazel-out/host/bin/external/com_google_protobuf/protoc)

    错误原因是 /lib64/libstdc++.so.6中没有GLIBCXX_3.4.20版本， 检查下刚刚编译出来的/usr/local/gcc5.5/lib64/libstdc++.so.6支持的GLIBCXX版本

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    strings /usr/local/gcc5.5/lib64/libstdc++.so.6  | grep ^GLIBCXX

    控制台返回

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    [root@48097947e31b bazel-dist]# strings /usr/local/gcc5.5/lib64/libstdc++.so.6  | grep ^GLIBCXX
    GLIBCXX_3.4
    ...
    GLIBCXX_3.4.18
    GLIBCXX_3.4.19
    GLIBCXX_3.4.20   #### 目标版本
    GLIBCXX_3.4.21  #### 目标版本
    ...
    GLIBCXX_3.4.4

    再检查 CXXABI_1.3.8版本是否在

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    strings /usr/local/gcc5.5/lib64/libstdc++.so.6  | grep ^CXXABI

    控制台返回

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    [root@48097947e31b bazel-dist]# strings /usr/local/gcc5.5/lib64/libstdc++.so.6  | grep ^CXXABI
    ...
    CXXABI_1.3.8 #### 目标版本
    ...
    CXXABI_1.3.3

    即gcc5.5中包含了 CXXABI_1.3.8， GLIBCXX_3.4.20， 那把这个文件链接到 /lib64就成了

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    unlink /lib64/libstdc++.so.6
    ln -s /usr/local/gcc5.5/lib64/libstdc++.so.6  /lib64/libstdc++.so.6

    控制台输出

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    [root@48097947e31b bazel-dist]# ll /lib64/libstdc++.so.6
    lrwxrwxrwx 1 root root 19 Nov 13 01:54 /lib64/libstdc++.so.6 -> libstdc++.so.6.0.19
    [root@48097947e31b bazel-dist]# unlink /lib64/libstdc++.so.6
    [root@48097947e31b bazel-dist]# ln -s /usr/local/gcc5.5/lib64/libstdc++.so.6  /lib64/libstdc++.so.6
    [root@48097947e31b bazel-dist]# ll /lib64/libstdc++.so.6
    lrwxrwxrwx 1 root root 38 Feb  5 08:29 /lib64/libstdc++.so.6 -> /usr/local/gcc5.5/lib64/libstdc++.so.6
    [root@48097947e31b bazel-dist]#

    再再次编译，命令行不发了， 同上。。。（又重下那个412MB的文件。。。都想构建本地http了。。。）， 控制台输出

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    [root@48097947e31b bazel-dist]# PATH=/usr/local/gcc5.5/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/root/bin LD_LIBRARY_PATH=/usr/local/gcc5.5/lib64:/usr/local/gcc5.5/lib https_proxy=http://127.0.0.1:7890 http_proxy=http://127.0.0.1:7890 ./compile.sh
    🍃  Building Bazel from scratch......
    🍃  Building Bazel with Bazel.
    ....
     Fetching https://mirror.bazel.build/...linux_aarch64.tar.gz; 8,101,840B 9s（412MB，后面省略）
    INFO: Found 1 target...
    [0 / 1,066] [Prepa] Writing file src/embedded_tools_nojdk.params
    ....
    [323 / 1,483] 8 actions running
    [326 / 1,483] 8 actions running
    INFO: From JavacBootstrap src/java_tools/buildjar/java/com/google/devtools/build/buildjar/libskylark-deps.jar [for host]:
    .....
    DEBUG: /tmp/bazel_3S4oONKX/out/external/build_bazel_rules_nodejs/internal/common/check_bazel_version.bzl:49:9: Make sure that you are running at least Bazel 0.21.0.

    Build successful! Binary is here: /root/download/bazel-dist/output/bazel

    编译成功， 把bazel包复制到/usr/local/bin中

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    cp /root/download/bazel-dist/output/bazel /usr/local/bin/

    控制台输出

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    [root@48097947e31b bazel-dist]# cp /root/download/bazel-dist/output/bazel /usr/local/bin/
    [root@48097947e31b bazel-dist]# bazel --version
    bazel 3.1.0- (@non-git)
    [root@48097947e31b bazel-dist]#

开始编译Tensorflow 2.4.1（非常耗时）

忽略报错， 不算gcc5编译，编译耗时： 约2小时40分钟

配置构建

输入如下命令， 按照自己需求进行选项， 我的选项如下

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./configure

我选的

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[root@48097947e31b tensorflow-2.4.1]# ./configure 
You have bazel 3.1.0- (@non-git) installed.
Please specify the location of python. [Default is /usr/local/bin/python3]: 


Found possible Python library paths:
  /usr/local/lib/python3.8/site-packages
Please input the desired Python library path to use.  Default is [/usr/local/lib/python3.8/site-packages]

Do you wish to build TensorFlow with ROCm support? [y/N]: n
No ROCm support will be enabled for TensorFlow.

Do you wish to build TensorFlow with CUDA support? [y/N]: n
No CUDA support will be enabled for TensorFlow.

Do you wish to download a fresh release of clang? (Experimental) [y/N]: n
Clang will not be downloaded.

Please specify optimization flags to use during compilation when bazel option "--config=opt" is specified [Default is -Wno-sign-compare]: 


Would you like to interactively configure ./WORKSPACE for Android builds? [y/N]: n
Not configuring the WORKSPACE for Android builds.

Preconfigured Bazel build configs. You can use any of the below by adding "--config=<>" to your build command. See .bazelrc for more details.
	--config=mkl         	# Build with MKL support.
	--config=mkl_aarch64 	# Build with oneDNN support for Aarch64.
	--config=monolithic  	# Config for mostly static monolithic build.
	--config=ngraph      	# Build with Intel nGraph support.
	--config=numa        	# Build with NUMA support.
	--config=dynamic_kernels	# (Experimental) Build kernels into separate shared objects.
	--config=v2          	# Build TensorFlow 2.x instead of 1.x.
Preconfigured Bazel build configs to DISABLE default on features:
	--config=noaws       	# Disable AWS S3 filesystem support.
	--config=nogcp       	# Disable GCP support.
	--config=nohdfs      	# Disable HDFS support.
	--config=nonccl      	# Disable NVIDIA NCCL support.
Configuration finished
[root@48097947e31b tensorflow-2.4.1]#

构建 pip 软件包

  1. 下载依赖软件git

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    yum install git -y

  2. 使用bazel build进行构建

    最简单的命令是 

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

    但是为了保证gcc正确， 我加了gcc的PATH， 也是用gcc5编译， 加上--local_ram_resources=2048防止内存炸了

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    PATH=/usr/local/gcc5.5/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/root/bin LD_LIBRARY_PATH=/usr/local/gcc5.5/lib64:/usr/local/gcc5.5/lib bazel build --config=opt //tensorflow/tools/pip_package:build_pip_package --cxxopt="-D_GLIBCXX_USE_CXX11_ABI=0" --verbose_failures --local_ram_resources=2048

    控制台输出

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    [root@48097947e31b tensorflow-2.4.1]# PATH=/usr/local/gcc5.5/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/root/bin https_proxy=http://127.0.0.1:7890 http_proxy=http://127.0.0.1:7890 bazel build --config=opt //tensorflow/tools/pip_package:build_pip_package --cxxopt="-D_GLIBCXX_USE_CXX11_ABI=0" --verbose_failures --local_ram_resources=2048
    ...
    open_source_build=true --java_toolchain=//third_party/toolchains/java:tf_java_toolchain --host_java_toolchain=//third_party/toolchains/java:tf_java_toolchain --define=tensorflow_enable_mlir_generated_gpu_kernels=0 --
    ...
    Analyzing: target //tensorflow/tools/pip_package:build_pip_package (16 packages loaded, 439 targets configured)
        Fetching @go_sdk; fetching 49s
        Fetching @boringssl; fetching 49s
        Fetching @llvm-project; fetching 49s
        Fetching @aws; fetching 49s
        Fetching https://storage.googleapis.com/mirror.tensorflow.org/github.com/google/boringssl/archive/80ca9f9f6ece29ab132cce4cf807a9465a18cfac.tar.gz; 15,210,540B 48s
        Fetching https://dl.google.com/go/go1.12.5.linux-arm64.tar.gz; 13,590,432B 46s
        Fetching https://github.com/aws/aws-sdk-cpp/archive/1.7.336.tar.gz; 11,919,054B 44s
        Fetching https://github.com/llvm/llvm-project/archive/f402e682d0ef5598eeffc9a21a691b03e602ff58.tar.gz; 12,222,637B 44s ... (16 fetches)

    中间可能会报错， 如果错误类型是 Error downloading的错误， 就是网络炸了， 多运行几次即可（p.s. 这段下载简直是实习生写的， 本身国内网络慢， 还十几个文件一起下载， 然后timeout概率爆炸， timeout后还不会去重试， 直接checksum， timeout后文件肯定不完整， 结果， 十几个文件中1个文件失败就会所有文件直接停止下载并报错，哪怕其他文件还在下载，而且我试过将文件下载到指定目录， 结果运行后还是会重新下载该文件。）

    例如像下面的错误， 

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    ERROR: Analysis of target '//tensorflow/tools/pip_package:build_pip_package' failed; build aborted: Traceback (most recent call last):
    	File "/root/.cache/bazel/_bazel_root/6dc75189e5d225c7bfaf488577a89e58/external/io_bazel_rules_go/go/private/sdk.bzl", line 50
    		_remote_sdk(ctx, <3 more arguments>)
    	File "/root/.cache/bazel/_bazel_root/6dc75189e5d225c7bfaf488577a89e58/external/io_bazel_rules_go/go/private/sdk.bzl", line 120, in _remote_sdk
    		ctx.download(url = urls, <2 more arguments>)
    java.io.IOException: Error downloading [https://dl.google.com/go/go1.12.5.linux-arm64.tar.gz] to /root/.cache/bazel/_bazel_root/6dc75189e5d225c7bfaf488577a89e58/external/go_sdk/go_sdk.tar.gz: Checksum was aac5b83aa2838dcc69817d928b4921ad1db945da9bbc70dd3e55a48ad7259505 but wanted ff09f34935cd189a4912f3f308ec83e4683c309304144eae9cf60ebc552e7cd8
    INFO: Elapsed time: 31.488s
    INFO: 0 processes.
    FAILED: Build did NOT complete successfully (202 packages loaded, 3829 targets configured)
        Fetching @io_bazel_rules_docker; Cloning 251f6a68b439744094faff800cd029798edf9faa of https://github.com/bazelbuild/rules_docker.git 27s

  3. 冒着怒火， 相同命令运行了近10次， 终于全部文件下载成功了。。进入编译。。。这段时间非常漫长, 预计1-2小时， 建议使用screen或nohup方式编译， 防止控制台断开失败

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    INFO: Analyzed target //tensorflow/tools/pip_package:build_pip_package (177 packages loaded, 26606 targets configured).
    INFO: Found 1 target...
    [103 / 556] 8 actions, 7 running # 别被这里欺骗了， 一共约1.5万个， 它会不断增加
        Compiling external/com_googlesource_code_re2/re2/set.cc [for host]; 1s local
        Compiling external/com_googlesource_code_re2/re2/parse.cc [for host]; 0s local
        Compiling external/com_googlesource_code_re2/re2/re2.cc [for host]; 0s local
        Compiling external/com_google_absl/absl/time/duration.cc [for host]; 0s local
        Compiling external/com_googlesource_code_re2/re2/compile.cc [for host]; 0s local
        Compiling external/com_googlesource_code_re2/re2/bitstate.cc [for host]; 0s local
        Compiling external/com_googlesource_code_re2/re2/onepass.cc [for host]; 0s local
        [Scann] Compiling external/com_googlesource_code_re2/re2/dfa.cc [for host]

  4. 编译到一半的时候，又报错了

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    ERROR: /root/download/tensorflow-2.4.1/tensorflow/python/keras/api/BUILD:111:1: Executing genrule //tensorflow/python/keras/api:keras_python_api_gen failed (Exit 1): bash failed: error executing command
       (cd /root/.cache/bazel/_bazel_root/6dc75189e5d225c7bfaf488577a89e58/execroot/org_tensorflow && \
       exec env - \
        PATH=/usr/local/gcc5.5/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/root/bin \
        PYTHON_BIN_PATH=/usr/local/bin/python3 \
        PYTHON_LIB_PATH=/usr/local/lib/python3.8/site-packages \
        TF2_BEHAVIOR=1 \
        TF_CONFIGURE_IOS=0 \
      /bin/bash -c 'source external/bazel_tools/tools/genrule/genrule-setup.sh; bazel-out/host/bin/tensorflow/python/keras/api/create_tensorflow.python_api_keras_python_api_gen  --apidir=bazel-out/aarch64-opt/bin/tensorflow/python/ke
    ras/api --apiname=keras --apiversion=1  --loading=default --package=tensorflow.python,tensorflow.python.keras,tensorflow.python.keras.activations,tensorflow.python.keras.applications.densenet,tensorflow.python.keras.applications.
    efficientnet,tensorflow.python.keras.applications.imagenet_utils,tensorflow.python.keras.applications.inception_resnet_v2,tensorflow.python.keras.applications.inception_v3,tensorflow.python.keras.applications.mobilenet,tensorflow
    ...
    scikit_learn/__init__.py')
    Execution platform: @local_execution_config_platform//:platform   
    Traceback (most recent call last):
      File "/root/.cache/bazel/_bazel_root/6dc75189e5d225c7bfaf488577a89e58/execroot/org_tensorflow/bazel-out/host/bin/tensorflow/python/keras/api/create_tensorflow.python_api_keras_python_api_gen.runfiles/org_tensorflow/tensorflow/python/tools/api/generator/create_python_api.py", line 26, in <module>
        from tensorflow.python.tools.api.generator import doc_srcs
      File "/root/.cache/bazel/_bazel_root/6dc75189e5d225c7bfaf488577a89e58/execroot/org_tensorflow/bazel-out/host/bin/tensorflow/python/keras/api/create_tensorflow.python_api_keras_python_api_gen.runfiles/org_tensorflow/tensorflow/python/__init__.py", line 28, in <module>
        import ctypes
      File "/usr/local/lib/python3.8/ctypes/__init__.py", line 7, in <module>
        from _ctypes import Union, Structure, Array
    ModuleNotFoundError: No module named '_ctypes'
    Target //tensorflow/tools/pip_package:build_pip_package failed to build
    ERROR: /root/download/tensorflow-2.4.1/tensorflow/python/tools/BUILD:82:1 Executing genrule //tensorflow/python/keras/api:keras_python_api_gen failed (Exit 1): bash failed: error executing command
      (cd /root/.cache/bazel/_bazel_root/6dc75189e5d225c7bfaf488577a89e58/execroot/org_tensorflow && \
      exec env - \
        PATH=/usr/local/gcc5.5/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/root/bin \
        PYTHON_BIN_PATH=/usr/local/bin/python3 \
        PYTHON_LIB_PATH=/usr/local/lib/python3.8/site-packages \
        TF2_BEHAVIOR=1 \
        TF_CONFIGURE_IOS=0 \
      /bin/bash -c 'source external/bazel_tools/tools/genrule/genrule-setup.sh; bazel-out/host/bin/tensorflow/python/keras/api/create_tensorflow.python_api_keras_python_api_gen  --apidir=bazel-out/aarch64-opt/bin/tensorflow/python/keras/api --apiname=keras --apiversion=1  --loading=default --package=tensorflow.python,tensorflow.python.keras,tensorflo
      ...
      python/keras/api/keras/wrappers/__init__.py bazel-out/aarch64-opt/bin/tensorflow/python/keras/api/keras/wrappers/scikit_learn/__init__.py')
    Execution platform: @local_execution_config_platform//:platform   
    INFO: Elapsed time: 9034.655s, Critical Path: 5345.41s
    INFO: 13843 processes: 13843 local.
    FAILED: Build did NOT complete successfully

    错误很明显， ModuleNotFoundError: No module named '_ctypes'

    查询后， 得知需要安装 libffi-devel， 然后， 还得编译一次python。。。

    所以。。

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    cd ../Python-3.8.7
    ./configure --with-ssl-default-suites=openssl --enable-optimizations
    make -j
    make install

    完成后， 看下Python能否import from _ctypes import Union, Structure, Array 了

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    [root@48097947e31b Python-3.8.7]# python3
    Python 3.8.7 (default, Feb  5 2021, 13:40:10) 
    [GCC 7.3.1 20180303 (Red Hat 7.3.1-5)] on linux
    Type "help", "copyright", "credits" or "license" for more information.
    >>> from _ctypes import Union, Structure, Array
    >>>

    ok， 继续编译 TensorFlow

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    PATH=/usr/local/gcc5.5/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/root/bin bazel build --config=opt //tensorflow/tools/pip_package:build_pip_package --cxxopt="-D_GLIBCXX_USE_CXX11_ABI=0" --verbose_failures --local_ram_resources=2048

    经过漫长的等待，最后的最后，控制台输出

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    INFO: Analyzed target //tensorflow/tools/pip_package:build_pip_package (177 packages loaded, 26606 targets configured).
    ......
    INFO: Found 1 target...
    [15,493 / 15,513] 8 actions, 4 running                                              Executing genrule //tensorflow/python/keras/api:keras_python_api_gen_compat_v2; 7s local
    Target //tensorflow/tools/pip_package:build_pip_package up-to-date:               bazel-bin/tensorflow/tools/pip_package/build_pip_package                      INFO: Elapsed time: 9638.762s, Critical Path: 7750.25s
    INFO: 14845 processes: 14845 local.                                             INFO: Build completed successfully, 14992 total actions

  5. 编译终于成功了， 总耗时 2小时40分钟39秒。。

生成whl文件安装Tensorflow

参考官方引导 从源代码构建 | TensorFlow - 构建软件包

执行如下命令

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./bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg

控制台输出

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[root@48097947e31b tensorflow-2.4.1]# ./bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg
Fri Feb 5 16:37:59 UTC 2021 : === Preparing sources in dir: /tmp/tmp.xc3LmhLdsV
~/download/tensorflow-2.4.1 ~/download/tensorflow-2.4.1
~/download/tensorflow-2.4.1
~/download/tensorflow-2.4.1/bazel-bin/tensorflow/tools/pip_package/build_pip_package.runfiles/org_tensorflow ~/download/tensorflow-2.4.1
~/download/tensorflow-2.4.1
/tmp/tmp.xc3LmhLdsV/tensorflow/include ~/download/tensorflow-2.4.1
~/download/tensorflow-2.4.1
Fri Feb 5 16:38:19 UTC 2021 : === Building wheel
warning: no files found matching 'README'
...
warning: no files found matching '*' under directory 'tensorflow/include/third_party'
Fri Feb 5 16:38:56 UTC 2021 : === Output wheel file is in: /tmp/tensorflow_pkg

至此， Tensorflow编译过程结束

安装Tensorflow

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pip3 install /tmp/tensorflow_pkg/tensorflow-2.4.1-cp38-cp38-linux_aarch64.whl

然后又出现错误

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[root@48097947e31b tensorflow-2.4.1]# pip3 /tmp/tensorflow_pkg/tensorflow-2.4.1-cp38-cp38-linux_aarch64.whl 
ERROR: unknown command "/tmp/tensorflow_pkg/tensorflow-2.4.1-cp38-cp38-linux_aarch64.whl"
[root@48097947e31b tensorflow-2.4.1]# pip3 install /tmp/tensorflow_pkg/tensorflow-2.4.1-cp38-cp38-linux_aarch64.whl 
Looking in indexes: https://mirrors.aliyun.com/pypi/simple/
Processing /tmp/tensorflow_pkg/tensorflow-2.4.1-cp38-cp38-linux_aarch64.whl
...
  creating None
  creating None/tmp
  creating None/tmp/tmprhi4x77s
  gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -I/usr/local/include/python3.8 -c /tmp/tmprhi4x77s/a.c -o None/tmp/tmprhi4x77s/a.o
  Traceback (most recent call last):
    File "/usr/local/lib/python3.8/distutils/unixccompiler.py", line 117, in _compile
      self.spawn(compiler_so + cc_args + [src, '-o', obj] +
    ...
    File "/usr/local/lib/python3.8/distutils/spawn.py", line 157, in _spawn_posix
      raise DistutilsExecError(
  distutils.errors.DistutilsExecError: command 'gcc' failed with exit status 1
  
  During handling of the above exception, another exception occurred:
  
  Traceback (most recent call last):
    File "/tmp/pip-install-kzx34i5t/grpcio_1c63fd6dfd80475d95e24de0055b36c1/src/python/grpcio/commands.py", line 264, in build_extensions
      build_ext.build_ext.build_extensions(self)
    ...
    File "/usr/local/lib/python3.8/distutils/unixccompiler.py", line 120, in _compile
      raise CompileError(msg)
  distutils.errors.CompileError: command 'gcc' failed with exit status 1
  
  During handling of the above exception, another exception occurred:
  
  Traceback (most recent call last):
    File "<string>", line 1, in <module>
    File "/tmp/pip-install-kzx34i5t/grpcio_1c63fd6dfd80475d95e24de0055b36c1/setup.py", line 448, in <module>
      setuptools.setup(
    ...
    File "/tmp/pip-install-kzx34i5t/grpcio_1c63fd6dfd80475d95e24de0055b36c1/src/python/grpcio/commands.py", line 268, in build_extensions
      raise CommandError(
  commands.CommandError: Failed `build_ext` step:
  Traceback (most recent call last):
    File "/usr/local/lib/python3.8/distutils/unixccompiler.py", line 117, in _compile
      self.spawn(compiler_so + cc_args + [src, '-o', obj] +
    ...
    File "/usr/local/lib/python3.8/distutils/spawn.py", line 157, in _spawn_posix
      raise DistutilsExecError(
  distutils.errors.DistutilsExecError: command 'gcc' failed with exit status 1
  
  During handling of the above exception, another exception occurred:
  
  Traceback (most recent call last):
    File "/tmp/pip-install-kzx34i5t/grpcio_1c63fd6dfd80475d95e24de0055b36c1/src/python/grpcio/commands.py", line 264, in build_extensions
      build_ext.build_ext.build_extensions(self)
    ...
    File "/usr/local/lib/python3.8/distutils/unixccompiler.py", line 120, in _compile
      raise CompileError(msg)
  distutils.errors.CompileError: command 'gcc' failed with exit status 1
  
  ----------------------------------------
  ERROR: Failed building wheel for grpcio
  Running setup.py clean for grpcio
  Building wheel for h5py (setup.py) ... error
  ERROR: Command errored out with exit status 1:
   command: /usr/local/bin/python3.8 -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-kzx34i5t/h5py_e6d17e17103d4499aed3a8bb670913cc/setup.py'"'"'; __file__='"'"'/tmp/pip-install-kzx34i5t/h5py_e6d17e17103d4499aed3a8bb670913cc/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' bdist_wheel -d /tmp/pip-wheel-5mhhdi83
       cwd: /tmp/pip-install-kzx34i5t/h5py_e6d17e17103d4499aed3a8bb670913cc/
  Complete output (64 lines):
  ...
  Loading library to get version: libhdf5.so
  error: libhdf5.so: cannot open shared object file: No such file or directory
  ----------------------------------------
  ERROR: Failed building wheel for h5py
  Running setup.py clean for h5py
  Building wheel for termcolor (setup.py) ... done
  Created wheel for termcolor: filename=termcolor-1.1.0-py3-none-any.whl size=4829 sha256=c661e70e3028f244fac6d4cfa199d6599a89995531ce30945d91f622ea9bfda4
  Stored in directory: /root/.cache/pip/wheels/b6/0a/af/edcc2d17bf3441ecfa19393aa5cfbc60af7cb00db2b9763c10
  Building wheel for wrapt (setup.py) ... done
  Created wheel for wrapt: filename=wrapt-1.12.1-cp38-cp38-linux_aarch64.whl size=72096 sha256=aba1fa72f3efc17dcb841450a0cec14bd9ee5f267aefb1dd72e2f087bc81a6f8
  Stored in directory: /root/.cache/pip/wheels/51/11/73/14504528339206a620d8c024472c3073d06f56f1714ce9ae83
Successfully built termcolor wrapt
Failed to build grpcio h5py
Installing collected packages: urllib3, pyasn1, idna, chardet, certifi, six, rsa, requests, pyasn1-modules, oauthlib, cachetools, requests-oauthlib, google-auth, werkzeug, tensorboard-plugin-wit, protobuf, numpy, markdown, grpcio, google-auth-oauthlib, absl-py, wrapt, typing-extensions, termcolor, tensorflow-estimator, tensorboard, opt-einsum, h5py, google-pasta, gast, flatbuffers, astunparse, tensorflow
  Attempting uninstall: numpy
    Found existing installation: numpy 1.20.0
    Uninstalling numpy-1.20.0:
      Successfully uninstalled numpy-1.20.0
    Running setup.py install for grpcio ... error
    ERROR: Command errored out with exit status 1:
     command: /usr/local/bin/python3.8 -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-kzx34i5t/grpcio_1c63fd6dfd80475d95e24de0055b36c1/setup.py'"'"'; __file__='"'"'/tmp/pip-install-kzx34i5t/grpcio_1c63fd6dfd80475d95e24de0055b36c1/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' install --record /tmp/pip-record-qz54i1sf/install-record.txt --single-version-externally-managed --compile --install-headers /usr/local/include/python3.8/grpcio
         cwd: /tmp/pip-install-kzx34i5t/grpcio_1c63fd6dfd80475d95e24de0055b36c1/
    Complete output (847 lines):
    /tmp/pip-install-kzx34i5t/grpcio_1c63fd6dfd80475d95e24de0055b36c1/src/python/grpcio/commands.py:104: SyntaxWarning: "is not" with a literal. Did you mean "!="?
      if exit_code is not 0:
    ASM Builds for BoringSSL currently not supported on: linux-aarch64
    Cython-generated files are missing...
    ...
    creating None/tmp/tmpo7bvr3zb
    gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -I/usr/local/include/python3.8 -c /tmp/tmpo7bvr3zb/a.c -o None/tmp/tmpo7bvr3zb/a.o
    Traceback (most recent call last):
      File "/usr/local/lib/python3.8/distutils/unixccompiler.py", line 117, in _compile
        self.spawn(compiler_so + cc_args + [src, '-o', obj] +
      ...
      File "/usr/local/lib/python3.8/distutils/spawn.py", line 157, in _spawn_posix
        raise DistutilsExecError(
    distutils.errors.DistutilsExecError: command 'gcc' failed with exit status 1
    
    During handling of the above exception, another exception occurred:
    
    Traceback (most recent call last):
      File "/tmp/pip-install-kzx34i5t/grpcio_1c63fd6dfd80475d95e24de0055b36c1/src/python/grpcio/commands.py", line 264, in build_extensions
        build_ext.build_ext.build_extensions(self)
      ...
      File "/usr/local/lib/python3.8/distutils/unixccompiler.py", line 120, in _compile
        raise CompileError(msg)
    distutils.errors.CompileError: command 'gcc' failed with exit status 1
    
    During handling of the above exception, another exception occurred:
    
    Traceback (most recent call last):
      File "<string>", line 1, in <module>
      File "/tmp/pip-install-kzx34i5t/grpcio_1c63fd6dfd80475d95e24de0055b36c1/setup.py", line 448, in <module>
        setuptools.setup(
      ...
      File "/tmp/pip-install-kzx34i5t/grpcio_1c63fd6dfd80475d95e24de0055b36c1/src/python/grpcio/commands.py", line 268, in build_extensions
        raise CommandError(
    commands.CommandError: Failed `build_ext` step:
    Traceback (most recent call last):
      File "/usr/local/lib/python3.8/distutils/unixccompiler.py", line 117, in _compile
        self.spawn(compiler_so + cc_args + [src, '-o', obj] +
      ...
      File "/usr/local/lib/python3.8/distutils/spawn.py", line 157, in _spawn_posix
        raise DistutilsExecError(
    distutils.errors.DistutilsExecError: command 'gcc' failed with exit status 1
    
    During handling of the above exception, another exception occurred:
    
    Traceback (most recent call last):
      File "/tmp/pip-install-kzx34i5t/grpcio_1c63fd6dfd80475d95e24de0055b36c1/src/python/grpcio/commands.py", line 264, in build_extensions
        build_ext.build_ext.build_extensions(self)
      ...
      File "/usr/local/lib/python3.8/distutils/unixccompiler.py", line 120, in _compile
        raise CompileError(msg)
    distutils.errors.CompileError: command 'gcc' failed with exit status 1
    
    ----------------------------------------
ERROR: Command errored out with exit status 1: /usr/local/bin/python3.8 -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-kzx34i5t/grpcio_1c63fd6dfd80475d95e24de0055b36c1/setup.py'"'"'; __file__='"'"'/tmp/pip-install-kzx34i5t/grpcio_1c63fd6dfd80475d95e24de0055b36c1/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' install --record /tmp/pip-record-qz54i1sf/install-record.txt --single-version-externally-managed --compile --install-headers /usr/local/include/python3.8/grpcio Check the logs for full command output.

从中看出有以下错误, grpcio的错误， 以及h5py的错误

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...
ERROR: Failed building wheel for grpcio
  Running setup.py clean for grpcio
  Building wheel for h5py (setup.py) ... error
  ERROR: Command errored out with exit status 1
...
error: libhdf5.so: cannot open shared object file: No such file or directory
...

首先， 修复grpcio 的错误， 既然自动安装不了， 就从pip中下载来， 手动安装下

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wget -c https://files.pythonhosted.org/packages/0e/5f/eeb402746a65839acdec78b7e757635f5e446138cc1d68589dfa32cba593/grpcio-1.32.0.tar.gz
tar -zxvf grpcio-1.32.0.tar.gz 
cd grpcio-1.32.0
python3 setup.py install

安装grpcio返回错误

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[root@48097947e31b ~]# cd grpcio-1.32.0
[root@48097947e31b grpcio-1.32.0]# python3 setup.py install
Traceback (most recent call last):
  File "setup.py", line 229, in <module>
    if check_linker_need_libatomic():
  File "setup.py", line 176, in check_linker_need_libatomic
    cpp_test = subprocess.Popen([cxx, '-x', 'c++', '-std=c++11', '-'],
  File "/usr/local/lib/python3.8/subprocess.py", line 854, in __init__
    self._execute_child(args, executable, preexec_fn, close_fds,
  File "/usr/local/lib/python3.8/subprocess.py", line 1702, in _execute_child
    raise child_exception_type(errno_num, err_msg, err_filename)
FileNotFoundError: [Errno 2] No such file or directory: 'c++'

添加之前安装的gcc5.5的环境变量后（其实也可以把/usr/local/gcc5.5/bin放到环境变量中。。。）， 重新执行 python3 setup.py install

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PATH=/usr/local/gcc5.5/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/root/bin python3 setup.py install

控制台返回

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Installed /usr/local/lib/python3.8/site-packages/grpcio-1.32.0-py3.8-linux-aarch64.egg
Processing dependencies for grpcio==1.32.0
Searching for six==1.15.0
Best match: six 1.15.0
Adding six 1.15.0 to easy-install.pth file

Using /usr/local/lib/python3.8/site-packages
Finished processing dependencies for grpcio==1.32.0
[root@48097947e31b grpcio-1.32.0]#

然后尝试安装h5py(这里选择2.10.0， 是因为， tensorflow在安装的时候， 就是下载这个版本的)

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wget -c https://files.pythonhosted.org/packages/5f/97/a58afbcf40e8abecededd9512978b4e4915374e5b80049af082f49cebe9a/h5py-2.10.0.tar.gz
tar -zxvf h5py-2.10.0.tar.gz
cd h5py-2.10.0
PATH=/usr/local/gcc5.5/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/root/bin python3 setup.py install

控制台返回

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...
copying h5py/tests/test_vds/test_virtual_source.py -> build/lib.linux-aarch64-3.8/h5py/tests/test_vds
running build_ext
Loading library to get version: libhdf5.so
error: libhdf5.so: cannot open shared object file: No such file or directory

看样子得安装hdf5，找到官网， 下载 hdf5-1.12.0.tar.gz, 我先把gcc5.5放到环境变量好了，每次都PATH下太累了。。

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echo 'export PATH=/usr/local/gcc5.5/bin:$PATH' >> /etc/profile

# 这句是将 export PATH=/usr/local/gcc5.5/bin:$PATH  添加到 /etc/profile 的底部

控制台输出

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[root@48097947e31b download]# echo 'export PATH=/usr/local/gcc5.5/bin:$PATH' >> /etc/profile
[root@48097947e31b download]# source /etc/profile
[root@48097947e31b download]# gcc --version
gcc (GCC) 5.5.0
Copyright (C) 2015 Free Software Foundation, Inc.
This is free software; see the source for copying conditions.  There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

[root@48097947e31b download]#

继续安装 hdf5

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wget -c https://hdf-wordpress-1.s3.amazonaws.com/wp-content/uploads/manual/HDF5/HDF5_1_12_0/source/hdf5-1.12.0.tar.gz # 这个地址最好去上面访问下
tar -zxvf hdf5-1.12.0.tar.gz
cd hdf5-1.12.0
./configure --prefix=/usr/local/hdf5
make -j
make install

回到h5py目录

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LD_LIBRARY_PATH=/usr/local/hdf5/lib C_INCLUDE_PATH=/usr/local/hdf5/include python3 setup.py install

报错。。。

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In file included from /usr/local/hdf5/include/H5public.h:32:0,
                 from /usr/local/hdf5/include/hdf5.h:22,
                 from /root/h5py-2.10.0/h5py/api_compat.h:27,
                 from /root/h5py-2.10.0/h5py/defs.c:654:
/root/h5py-2.10.0/h5py/defs.c: In function '__pyx_f_4h5py_4defs_H5Sencode':
*** /root/h5py-2.10.0/h5py/defs.c:34523:15: error: too few arguments to function 'H5Sencode2' ***
   __pyx_t_1 = H5Sencode(__pyx_v_obj_id, __pyx_v_buf, __pyx_v_nalloc); if (unlikely(PyErr_Occurred())) __PYX_ERR(0, 3303, __pyx_L1_error)

从Why is HDF5 giving a “too few arguments” error here?回答， 似乎hdf5版本太高了，降一个版本， 在网站上下载 hdf5-1.10.7.tar.gz看看

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https_proxy=http://127.0.0.1:7890/ wget -c https://hdf-wordpress-1.s3.amazonaws.com/wp-content/uploads/manual/HDF5/HDF5_1_10_7/src/hdf5-1.10.7.tar.gz
tar -zxvf hdf5-1.10.7.tar.gz
cd hdf5-1.10.7
./configure --prefix=/usr/local/hdf5-1.10
make -j
make install

回到h5py目录， 然后再进行h5py的安装

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LD_LIBRARY_PATH=/usr/local/hdf5-1.10/lib C_INCLUDE_PATH=/usr/local/hdf5-1.10/include python3 setup.py install

控制台错误

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[root@48097947e31b h5py-2.10.0]# python3 setup.py install
running install
running bdist_egg
...
running build_ext
Loading library to get version: libhdf5.so
Autodetected HDF5 1.10.7
********************************************************************************
                       Summary of the h5py configuration
    Path to HDF5: None
    HDF5 Version: '1.10.7'
     MPI Enabled: False
     Rebuild Required: True
********************************************************************************
Executing cythonize()
[ 1/23] Cythonizing /root/h5py-2.10.0/h5py/_conv.pyx
...
[23/23] Cythonizing /root/h5py-2.10.0/h5py/utils.pyx
building 'h5py.defs' extension
...
npy_1_7_deprecated_api.h:17:2: 
 #
  ^
  /root/h5py-2.10.0/h5py/defs.c: In function '__pyx_f_4h5py_4defs_H5Pget_driver_info':
/root/h5py-2.10.0/h5py/defs.c:21763:13: 
   __pyx_t_1 = H5Pget_driver_info(__pyx_v_plist_id); if (unlikely(PyErr_Occurred())) __PYX_ERR(0, 2016, __pyx_L1_error)
             ^
             In file included from /usr/local/lib/python3.8/site-packages/numpy/core/include/numpy/ndarrayobject.h:21:0,
                 from /usr/local/lib/python3.8/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from /root/h5py-2.10.0/h5py/api_compat.h:26,
                 from /root/h5py-2.10.0/h5py/defs.c:654:
                 /root/h5py-2.10.0/h5py/defs.c: At top level:
/usr/local/lib/python3.8/site-packages/numpy/core/include/numpy/__multiarray_api.h:1463:1: 
 _import_array(void)
 ^
 gcc -pthread -shared build/temp.linux-aarch64-3.8/root/h5py-2.10.0/h5py/defs.o -L/opt/local/lib -L/usr/local/lib -Wl,--enable-new-dtags,-R/opt/local/lib -Wl,--enable-new-dtags,-R/usr/local/lib -lhdf5 -lhdf5_hl -o build/lib.linux-aarch64-3.8/h5py/defs.cpython-38-aarch64-linux-gnu.so
/usr/bin/ld: cannot find -lhdf5
/usr/bin/ld: cannot find -lhdf5_hl
collect2: error: ld returned 1 exit status
error: command 'gcc' failed with exit status 1

大意是，读不到hdf5和hdf5_hl，LD_LIBRARY_PATH没生效，看上面人家只从 /opt/local/lib，/usr/local/lib中读取，所以只能将这2个so文件链接到人家能读到的目录下，应该就成了

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ln -s /usr/local/hdf5-1.10/lib/libhdf5.so /usr/local/lib/
ln -s /usr/local/hdf5-1.10/lib/libhdf5_hl.so /usr/local/lib/

再运行一次

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python3 setup.py install

控制台输出

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...
Using /usr/local/lib/python3.8/site-packages
Finished processing dependencies for h5py==2.10.0
[root@48097947e31b h5py-2.10.0]#

成功了， 重新安装tensorflow

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pip3 install /tmp/tensorflow_pkg/tensorflow-2.4.1-cp38-cp38-linux_aarch64.whl

控制台输出

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Installing collected packages: grpcio, google-auth-oauthlib, absl-py, wrapt, typing-extensions, termcolor, tensorflow-estimator, tensorboard, opt-einsum, google-pasta, gast, flatbuffers, astunparse, tensorflow
  Attempting uninstall: grpcio
    Found existing installation: grpcio 1.35.0
    Uninstalling grpcio-1.35.0:
      Successfully uninstalled grpcio-1.35.0
Successfully installed absl-py-0.11.0 astunparse-1.6.3 flatbuffers-1.12 gast-0.3.3 google-auth-oauthlib-0.4.2 google-pasta-0.2.0 grpcio-1.32.0 opt-einsum-3.3.0 tensorboard-2.4.1 tensorflow-2.4.1 tensorflow-estimator-2.4.0 termcolor-1.1.0 typing-extensions-3.7.4.3 wrapt-1.12.1
[root@48097947e31b h5py-2.10.0]#

至此，安装结束。。。

分享已经编译好的安装包

下载 tensorflow-2.4.1-cp38-cp38-linux_aarch64.whl