安装bazel 0.2.0-ppc

Question

我可以访问大型IBM Power8机器，并希望在其上安装TensorFlow。当然，我尝试了快速pip安装，但它失败了：

sudo pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.6.0-cp27-none-linux_x86_64.whl
tensorflow-0.6.0-cp27-none-linux_x86_64.whl is not a supported wheel on this platform.
Storing debug log for failure in /home/pv/.pip/pip.log

不幸的是，pip.log几乎没有什么有用的信息。

/usr/bin/pip run on Sat Feb  6 17:29:34 2016
tensorflow-0.6.0-cp27-none-linux_x86_64.whl is not a supported wheel on this platform.
Exception information:
Traceback (most recent call last):
  File "/usr/lib/python2.7/dist-packages/pip/basecommand.py", line 122, in main
    status = self.run(options, args)
  File "/usr/lib/python2.7/dist-packages/pip/commands/install.py", line 283, in run
    InstallRequirement.from_line(name, None))
  File "/usr/lib/python2.7/dist-packages/pip/req.py", line 168, in from_line
    raise UnsupportedWheel("%s is not a supported wheel on this platform." % wheel.filename)
UnsupportedWheel: tensorflow-0.6.0-cp27-none-linux_x86_64.whl is not a supported wheel on this platform.

我接下来尝试的是从源代码构建TensorFlow。无济于事，我的所有尝试都以cannot execute binary file: Exec format error消息结束，例如：

/usr/local/bin/bazel: line 86: /usr/local/lib/bazel/bin/bazel-real: cannot execute binary file: Exec format error

然后我尝试从源代码编译Bazel，这也导致类似的硬错误。

me@machine:~/bazel-0.1.5$ ./compile.sh
INFO: You can skip this first step by providing a path to the bazel binary as second argument:
INFO:    ./compile.sh compile /path/to/bazel
  Building Bazel from scratch.
Compiling Java stubs for protocol buffers...
third_party/protobuf/protoc-linux-x86_32.exe -Isrc/main/protobuf/ --java_out=/tmp/bazel.T9C83cNa/src src/main/protobuf/android_studio_ide_info.proto
scripts/bootstrap/buildenv.sh: line 63: third_party/protobuf/protoc-linux-x86_32.exe: cannot execute binary file: Exec format error
pv@sardonis:~/bazel-0.1.5$ ^C

然而，我找到了这个链接http://www.cnblogs.com/rodenpark/p/5007744.html，它解释了如何在Power8机器上从源代码构建Protobuf编译器。这工作并且在他的其他主题http://www.cnblogs.com/rodenpark/p/5007846.html中描述的修改之后，我设法至少开始编译过程。但是现在它崩溃了大量的错误，每个错误看起来都不那么严重，但是大量的错误让它看起来真的无望，我把它们贴在http://pastebin.com/KjkseaGx上以供参考。

所以......我的灵感已经不多了。如何使TensorFlow在Power8机器上运行？

Answer 1

安装bazel 0.2.0-ppc

tf@ubuntu16:~$ git clone https://github.com/ibmsoe/bazel
tf@ubuntu16:~/bazel$ git checkout v0.2.0-ppc
tf@ubuntu16:~/bazel$ ./compile.sh

安装tensorflow

tf@ubuntu16:~$ git clone --recurse-submodules https://github.com/tensorflow/tensorflow
tf@ubuntu16:~/tensorflow$ git checkout  v0.10.0rc0
tf@ubuntu16:~/tensorflow$ git commit -m"v0.10.0rc0"
tf@ubuntu16:~/tensorflow$ git cherry-pick ce70f6cf842a46296119337247c24d307e279fa0
tf@ubuntu16:~/tensorflow$ git cherry-pick f1acb3bd828a73b15670fc8019f06a5cd51bd564
tf@ubuntu16:~/tensorflow$ git cherry-pick 9b6215a691a2eebaadb8253bd0cf706f2309a0b8
tf@ubuntu16:~/tensorflow$ ./configure
tf@ubuntu16:~/tensorflow$ bazel build -c opt --config=cuda //tensorflow/tools/pip_package:build_pip_package

在这里你会遇到一个错误，比如

错误：/home/tf/.cache/bazel/_bazel_tf/b2f766da603b0bed56d4c1d0b178456a/external/farmhash_archive/BUILD:5:1：执行genrule @farmhash_archive //：配置失败：bash失败：错误执行命令/ bin / bash - c ...（跳过剩余的1个参数）：com.google.devtools.build.lib.shell.BadExitStatusException：进程退出，状态为1。 /home/tf/.cache/bazel/_bazel_tf/b2f766da603b0bed56d4c1d0b178456a/tensorflow/external/farmhash_archive/farmhash-34c13ddfab0e35422f4c3979f360635a8c050260 /home/tf/.cache/bazel/_bazel_tf/b2f766da603b0bed56d4c1d0b178456a/tensorflow /tmp/tmp.XdCPQefJyZ /home/tf/.cache/bazel/_bazel_tf/b2f766da603b0bed56d4c1d0b178456a/tensorflow/external/farmhash_archive/farmhash-34c13ddfab0e35422f4c3979f360635a8c050260 /home/tf/.cache/bazel/_bazel_tf/b2f766da603b0bed56d4c1d0b178456a/tensorflow

您必须编辑config.guess，如下所示插入ppc64le的节

tf@ubuntu16:~/.cache/bazel/_bazel_tf/b2f766da603b0bed56d4c1d0b178456a/external/farmhash_archive/farmhash-34c13ddfab0e35422f4c3979f360635a8c050260$ vi config.guess

    *:BSD/OS:*:*)
        echo ${UNAME_MACHINE}-unknown-bsdi${UNAME_RELEASE}
        exit ;;
+    ppc64le:Linux:*:*)
+      echo powerpc64le-unknown-linux-gnu
+      exit ;;
    *:FreeBSD:*:*)
        case ${UNAME_MACHINE} in

tf@ubuntu16:~/tensorflow$ bazel build -c opt --config=cuda //tensorflow/tools/pip_package:build_pip_package
tf@ubuntu16:~/tensorflow$ bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg
tf@ubuntu16:~/tensorflow$ sudo pip install /tmp/tensorflow_pkg/tensorflow*.whl
tf@ubuntu16:~/tensorflow/bazel-bin/tensorflow/tools/pip_package/build_pip_package.runfi
tf@ubuntu16:~/tensorflow$ mkdir _python_build
tf@ubuntu16:~/tensorflow$ cd _python_build
tf@ubuntu16:~/tensorflow/_python_build$ ln -s ~/tensorflow/bazel-bin/tensorflow/tools/pip_package/build_pip_package.runfiles/tensorflow/* .
tf@ubuntu16:~/tensorflow/_python_build$ ln -s ~/tensorflow/tools/* .
tf@ubuntu16:~/tensorflow/_python_build$ python  __init__.py develop

Answer 2

使用miniconda：

安装miniconda：

wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux--ppc64le.sh -O miniconda.sh

bash miniconda.sh

接受条件并允许将conda添加到PATH

rm miniconda.sh
echo export IBM_POWERAI_LICENSE_ACCEPT=yes >> ~/.bashrc
source ~/.bashrc

该添加项（基于终端）。将正确的频道添加为第一优先级

conda config --add default_channels https://repo.anaconda.com/pkgs/main
conda config --prepend channels https://public.dhe.ibm.com/ibmdl/export/pub/software/server/ibm-ai/conda/

创建环境（最好不要在基础上安装软件包）

conda create -n ai python=3.7
conda activate ai
conda install --strict-channel-priority tensorflow-gpu

有关IBM Power 8和Anaconda上的miniconda的更多信息：IBM Source和Anaconda Source

在IBM power8上安装TensorFlow

2 个答案:

安装bazel 0.2.0-ppc

安装tensorflow