Tensorboard: ValueError: Duplicate plugins for name projector

[Biaocsu]

I follow the introduction and happened to this error.
cuda10, cudnn7, install pytorch by pip.

however, when I check by

> torch.utils.tensorboard import SummaryWriter

, it is all right.

Python 3.7.3 | packaged by conda-forge | (default, Jul  1 2019, 21:52:21) 
[GCC 7.3.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from torch.utils.tensorboard import SummaryWriter
>>> 

but when I use

> tensorboard --logdir=runs, it happens to this error:

`Traceback (most recent call last):
  File "/home/kingsoft/anaconda3/envs/liubiao2/bin/tensorboard", line 10, in <module>
    sys.exit(run_main())
  File "/home/kingsoft/anaconda3/envs/liubiao2/lib/python3.7/site-packages/tensorboard/main.py", line 64, in run_main
    app.run(tensorboard.main, flags_parser=tensorboard.configure)
  File "/home/kingsoft/anaconda3/envs/liubiao2/lib/python3.7/site-packages/absl/app.py", line 300, in run
    _run_main(main, args)
  File "/home/kingsoft/anaconda3/envs/liubiao2/lib/python3.7/site-packages/absl/app.py", line 251, in _run_main
    sys.exit(main(argv))
  File "/home/kingsoft/anaconda3/envs/liubiao2/lib/python3.7/site-packages/tensorboard/program.py", line 228, in main
    server = self._make_server()
  File "/home/kingsoft/anaconda3/envs/liubiao2/lib/python3.7/site-packages/tensorboard/program.py", line 309, in _make_server
    self.assets_zip_provider)
  File "/home/kingsoft/anaconda3/envs/liubiao2/lib/python3.7/site-packages/tensorboard/backend/application.py", line 161, in standard_tensorboard_wsgi
    reload_task)
  File "/home/kingsoft/anaconda3/envs/liubiao2/lib/python3.7/site-packages/tensorboard/backend/application.py", line 194, in TensorBoardWSGIApp
    return TensorBoardWSGI(plugins, path_prefix)
  File "/home/kingsoft/anaconda3/envs/liubiao2/lib/python3.7/site-packages/tensorboard/backend/application.py", line 245, in __init__
    raise ValueError('Duplicate plugins for name %s' % plugin.plugin_name)
ValueError: Duplicate plugins for name projector`

[ezyang]

This sounds like a misconfiguration issue with tensorboard. @lanpa do you know if this is a PyTorch bug or not?

[huangwl18]

I have the same issue: being able to import from the latest version of pytorch and tensorboardX but both give the same error above

[LU4E]

This issue is caused by tb-nightly, and tb-nightly is difficult to uninstall.
I rebuilt the environment and use the tensorflow, tensorboard, tensorboardx without the tb-nightly this time, and the issue is gone.

[Biaocsu]

@LU4E what do you mean , uninstall tb-nightly and install tensorflow、tensorbard、tensorboardx ? then the issue will gone ?

[LU4E]

@Biaocsu Yes. I first try uninstall the tb-nightly many times but it still there. I don't know why.
You can build a new environment, install tensorflow, tensorboard, tensorboardx, espically, don't install tb-nightly.

[Biaocsu]

@LU4E it does not suitable for me, I can successfully uninstall tb-nightly. and yes I am really using another environment to use tensorboard

[YosukeSugiura]

@Biaocsu I have encountered the same issue but solved by uninstalling tensorboard. Maybe remaining tensorboard is bad.

[Biaocsu]

@YosukeSugiura thanks for your advice, but I tried and it does no effect

[ElegantLin]

@Biaocsu, I also met the problem but I fixed it. My method is:

1. I downloaded a test script from https://raw.githubusercontent.com/tensorflow/tensorboard/master/tensorboard/tools/diagnose_tensorboard.py
2. I run it and it told me that I have two tensorboards with a different version. Also, it told me how to fix it.
3. I followed its instructions and I can make my tensorboard work.

I think this error means that you have two tensorboards installed so the plugin will be duplicated. Another method would be helpful that is to reinstall the python environment using conda.

Hope to help you.

[Biaocsu]

@ElegantLin thanks

[TomorrowIsAnOtherDay]

Same issue, and thanks for @elad663 's solution.
But the solution given by the script is to uninstall tensorboardX and tb-nightly, and install tensorflow.
Is there other solution with pure pytorch environment?