Проблема Bazel при создании пакета pip для TensorFlow с поддержкой только ЦП

ребята! Я пытаюсь создать пакет pip для tensorflow, выполнив шаги в Установка TensorFlow из исходников. Однако после вызова следующей команды:$ bazel build --config=opt //tensorflow/tools/pip_package:build_pip_package я получил следующее:

ERROR: error loading package '': Encountered error while reading extension file
'closure/defs.bzl': no such package '@io_bazel_rules_closure//closure': Error do
wnloading [http://mirror.bazel.build/github.com/bazelbuild/rules_closure/archive
/aac19edc557aec9b603cd7ffe359401264ceff0d.tar.gz, https://github.com/bazelbuild/
rules_closure/archive/aac19edc557aec9b603cd7ffe359401264ceff0d.tar.gz] to /priva
te/var/tmp/_bazel_WilliamHuang/75f5fa598a7d55b225c399e7e82a3908/external/io_baze
l_rules_closure/aac19edc557aec9b603cd7ffe359401264ceff0d.tar.gz: All mirrors are
down: [].
INFO: Elapsed time: 58.126s

Мой ./configure следующим образом:

Do you wish to build TensorFlow with MKL support? [y/N] n
No MKL 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]: 
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 the XLA just-in-time compiler 
(experimental)? [y/N] n
No XLA JIT 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 support? [y/N] n
No OpenCL 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

И моя версия bazel 0.4.5

Build label: 0.4.5-homebrew

Надеюсь, вы, ребята, могли бы помочь мне с этой проблемой. Заранее спасибо.


person W.Huang    schedule 22.05.2017    source источник


Ответы (1)


Я решил эту проблему, установив прокси перед $ bazel build --config=opt //tensorflow/tools/pip_package:build_pip_package как

export http_proxy=http://proxy_ip:port  (e.g. export http_proxy=http://10.110.0.25:8888)
export https_proxy=http://proxy_ip:port
person W.Huang    schedule 22.05.2017