运行命令" bazel build tensorflow / examples / image_retraining:retrain"

时间:2016-11-08 05:31:40

标签: python-2.7 gcc tensorflow bazel

我试图在使用python 2.7的Ubuntu 14.04 LTS上构建张量流,没有GPU。当我在终端上运行以下命令后跟tutorial

bazel build tensorflow/examples/image_retraining:retrain

它表示无法使用日志构建:

ERROR: /home/yuan/tensorflow_source/tensorflow/tensorflow/python/BUILD:1826:1: Linking of rule '//tensorflow/python:_pywrap_tensorflow.so' failed: gcc failed: error executing command 
  (cd /home/yuan/.cache/bazel/_bazel_yuan/e5b8b6538ba16bbae5b1e0f5c26b7a12/execroot/tensorflow && \
  exec env - \
  /usr/bin/gcc -shared -o bazel-out/local-fastbuild/bin/tensorflow/python/_pywrap_tensorflow.so -Wl,--version-script tensorflow/tf_version_script.lds -pthread -Wl,-no-as-needed -B/usr/bin -B/usr/bin -pass-exit-codes '-Wl,--build-id=md5' '-Wl,--hash-style=gnu' -Wl,-S -Wl,@bazel-out/local-fastbuild/bin/tensorflow/python/_pywrap_tensorflow.so-2.params): com.google.devtools.build.lib.shell.BadExitStatusException: Process exited with status 1.
bazel-out/local-fastbuild/bin/tensorflow/core/libversion_lib.a(version_info.pic.o): In function `tf_git_version()':
version_info.cc:(.text+0x0): multiple definition of `tf_git_version()'
bazel-out/local-fastbuild/bin/tensorflow/core/libframework_internal.lo(version_info.pic.o):version_info.cc:(.text+0x0): first defined here
bazel-out/local-fastbuild/bin/tensorflow/core/libversion_lib.a(version_info.pic.o): In function `tf_compiler_version()':
version_info.cc:(.text+0xd): multiple definition of `tf_compiler_version()'
bazel-out/local-fastbuild/bin/tensorflow/core/libframework_internal.lo(version_info.pic.o):version_info.cc:(.text+0xd): first defined here
collect2: error: ld returned 1 exit status
Target //tensorflow/examples/image_retraining:retrain failed to build
INFO: Elapsed time: 52.885s, Critical Path: 34.63s

这是我的构建环境:

操作系统:Ubuntu 14.04 LTS 64位,带RAM 12Gib
gcc版本:4.8.4
python版本:2.7.6
bazel版本:0.3.2
张量流源的git版本:v0.11.0rc0-1541-g3737ac3

有没有人有想法修复此错误?非常感谢!

1 个答案:

答案 0 :(得分:0)

@David感谢您的帮助,似乎我的./configure结果不符合预期。

我最终通过以下步骤建立成功

  1. 将张量流源同步到HEAD

  2. 再次运行./configure,如果有任何错误,请参阅this

  3. 再次运行构建命令

    bazel build tensorflow / examples / image_retraining:retrain

  4. 我的构建结果没有错误。