【问题标题】:Tensorboard error after upgrading to 1.4: trying to access flag before flags were parsed升级到 1.4 后的 Tensorboard 错误:在解析标志之前尝试访问标志
【发布时间】:2017-11-20 19:51:50
【问题描述】:

自从升级到 TF 1.4 后,当我尝试运行 tensorboard 时出现此错误:

Traceback (most recent call last):
  File "/opt/python/3.6.3/bin/tensorboard", line 11, in <module>
    sys.exit(main())
  File "/opt/python/3.6.3/lib/python3.6/site-packages/tensorboard/main.py", line 39, in main
    return program.main(default.get_plugins(),
  File "/opt/python/3.6.3/lib/python3.6/site-packages/tensorboard/default.py", line 71, in get_plugins
    debugger = debugger_plugin_loader.get_debugger_plugin()
  File "/opt/python/3.6.3/lib/python3.6/site-packages/tensorboard/plugins/debugger/debugger_plugin_loader.py", line 46, in get_debugger_plugin
    if FLAGS.debugger_data_server_grpc_port is None:
  File "/opt/python/3.6.3/lib/python3.6/site-packages/absl/flags/_flagvalues.py", line 509, in __getattr__
    raise _exceptions.UnparsedFlagAccessError(error_message)
absl.flags._exceptions.UnparsedFlagAccessError: Trying to access flag --debugger_data_server_grpc_port before flags were parsed.

即使在没有指定--logdir 的情况下仅键入tensorboard,但在我指定日志目录时也会出现此错误。我注意到截至 5 天前 (https://github.com/tensorflow/nmt/issues/176) 已在 github 上报告了此问题,但我很惊讶没有看到更多人报告此问题。

我还注意到上周出于同样的原因我无法运行 Tensorflow RNN 教程,该错误还表明在解析之前访问了标志。有没有人遇到过这个问题,你能告诉我是否有解决办法吗?

【问题讨论】:

  • 完全相同的错误。

标签: tensorflow tensorboard


【解决方案1】:

按照Github issue 中的说明,快速解决方法是将 Tensorboard 升级到夜间版本:
pip install --upgrade tb-nightly

正如也说明的那样,一旦 TensorFlow nightly 20171122 发布,这个问题就会得到解决。

【讨论】:

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