联合学习中针对图像分类的TensorBoard错误教程

问题描述

笔记本：Federated Learning for Image Classification Tutorial

命令：

#@test {"skip": true}
%tensorboard --logdir /tmp/logs/scalars/ --port=0

ERROR: Failed to launch TensorBoard (exited with 1).
Contents of stderr:
2020-10-06 17:10:06.022164: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/lib64-nvidia
2020-10-06 17:10:06.022223: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Traceback (most recent call last):
  File "/usr/local/bin/tensorboard",line 8,in <module>
    sys.exit(run_main())
  File "/usr/local/lib/python3.6/dist-packages/tensorboard/main.py",line 75,in run_main
    app.run(tensorboard.main,flags_parser=tensorboard.configure)
  File "/usr/local/lib/python3.6/dist-packages/absl/app.py",line 299,in run
    _run_main(main,args)
  File "/usr/local/lib/python3.6/dist-packages/absl/app.py",line 250,in _run_main
    sys.exit(main(argv))
  File "/usr/local/lib/python3.6/dist-packages/tensorboard/program.py",line 290,in main
    return runner(self.flags) or 0
  File "/usr/local/lib/python3.6/dist-packages/tensorboard/program.py",line 306,in _run_serve_subcommand
    server = self._make_server()
  File "/usr/local/lib/python3.6/dist-packages/tensorboard/program.py",line 416,in _make_server
    ingester.deprecated_multiplexer,File "/usr/local/lib/python3.6/dist-packages/tensorboard/backend/application.py",line 149,in TensorBoardWsgiApp
    experimental_middlewares,line 257,in __init__
    "Duplicate plugins for name %s" % plugin.plugin_name
ValueError: Duplicate plugins for name projector 

环境（请填写以下信息）：

OS平台和发行版（例如Linux Ubuntu 16.04）：他们的协作平台

Python软件包版本（TensorFlow联合，TensorFlow）：TensorFlow联合，TensorBoard Python版本：python3.6

Bazel版本（如果从源代码构建）：使用google collab环境不适用

预期行为 我期望张量板开始。我遇到了一个错误，它反映了底层环境中的问题。

其他上下文 在此处添加有关该问题的其他任何上下文。

解决方法

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