构建tf（关注this）
./configure && bazel build --config=opt //tensorflow/tools/pip_package:build_pip_package失败：
root@commandor:/opt/tf/sc/tensorflow# bazel build --cxxopt="-D_GLIBCXX_USE_CXX11_ABI=0" --config=opt //tensorflow/tools/pip_package:build_pip_package
WARNING: /home/ertosns/.cache/bazel/_bazel_root/502c46fd2b7f9ff136e0381cc7e075fe/external/protobuf_archive/WORKSPACE:1: Workspace name in /home/ertosns/.cache/bazel/_bazel_root/502c46fd2b7f9ff136e0381cc7e075fe/external/protobuf_archive/WORKSPACE (@com_google_protobuf) does not match the name given in the repository's definition (@protobuf_archive); this will cause a build error in future versions
ERROR: /home/ertosns/.cache/bazel/_bazel_root/502c46fd2b7f9ff136e0381cc7e075fe/external/jpeg/BUILD:126:12: Illegal ambiguous match on configurable attribute "deps" in @jpeg//:jpeg:
@jpeg//:k8
@jpeg//:armeabi-v7a
Multiple matches are not allowed unless one is unambiguously more specialized.
ERROR: Analysis of target '//tensorflow/tools/pip_package:build_pip_package' failed; build aborted:
/home/ertosns/.cache/bazel/_bazel_root/502c46fd2b7f9ff136e0381cc7e075fe/external/jpeg/BUILD:126:12: Illegal ambiguous match on configurable attribute "deps" in @jpeg//:jpeg:
@jpeg//:k8
@jpeg//:armeabi-v7a
Multiple matches are not allowed unless one is unambiguously more specialized.
INFO: Elapsed time: 10.065s
FAILED: Build did NOT complete successfully (97 packages loaded)
currently loading: tensorflow/contrib/data/kernels ... (3 packages)
不熟悉bazel，但是根据this条件，jpeg的参数需要通过，究竟是什么参数，为什么指南没有提到呢？
在python 2.7,3.6下构建版本r1.6都失败并出现相同的错误。
配置过程：拒绝除jemalloc以外的所有支持。
root@commandor:/opt/tf/sc/tensorflow# ./configure
You have bazel 0.12.0 installed.
Please specify the location of python. [Default is /usr/bin/python]:
Found possible Python library paths:
/usr/local/lib/python2.7/dist-packages
/usr/lib/python2.7/dist-packages
Please input the desired Python library path to use. Default is [/usr/local/lib/python2.7/dist-packages]
Do you wish to build TensorFlow with jemalloc as malloc support? [Y/n]: y
jemalloc as malloc support will be enabled for TensorFlow.
Do you wish to build TensorFlow with Google Cloud Platform support? [Y/n]: n
No Google Cloud Platform support will be enabled for TensorFlow.
Do you wish to build TensorFlow with Hadoop File System support? [Y/n]: n
No Hadoop File System support will be enabled for TensorFlow.
Do you wish to build TensorFlow with Amazon S3 File System support? [Y/n]: n
No Amazon S3 File System support will be enabled for TensorFlow.
Do you wish to build TensorFlow with Apache Kafka Platform support? [y/N]: n
No Apache Kafka Platform support will be enabled for TensorFlow.
Do you wish to build TensorFlow with XLA JIT support? [y/N]: n
No XLA JIT support will be enabled for TensorFlow.
Do you wish to build TensorFlow with GDR support? [y/N]: n
No GDR support will be enabled for TensorFlow.
Do you wish to build TensorFlow with VERBS support? [y/N]: n
No VERBS support will be enabled for TensorFlow.
Do you wish to build TensorFlow with OpenCL SYCL support? [y/N]: n
No OpenCL SYCL 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 build TensorFlow with MPI support? [y/N]: n
No MPI support will be enabled for TensorFlow.
Please specify optimization flags to use during compilation when bazel option "--config=opt" is specified [Default is -march=native]:
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 tools/bazel.rc for more details.
--config=mkl # Build with MKL support.
--config=monolithic # Config for mostly static monolithic build.
--config=tensorrt # Build with TensorRT support.
Configuration finished
我正在尝试构建源代码，因为在卸载tensorflow并重新安装后，它无效！虽然它在以前的版本中工作，但在ubuntu 17.xx上，目前的ubuntu版本是17.10巧妙
google groups discussion
my previous question关于同一主题，但针对不同的问题。
答案 0 :(得分：3)
似乎0.12版本的bazel导致问题，尝试将其降级到0.11。
答案 1 :(得分：1)
我遇到了同样的问题，Bazel 0.12，回到Bazel 0.11，形成了我的工作：
$ curl -LO "https://github.com/bazelbuild/bazel/releases/download/0.11.1/bazel_0.11.1-linux-x86_64.deb"
$ sudo dpkg -i bazel_*.deb