Tensorboard: ValueError: Duplicate plugins for name projector #22676

Biaocsu · 2019-07-10T07:53:56Z

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`

The text was updated successfully, but these errors were encountered:

ezyang · 2019-07-10T16:13:19Z

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

huangwl18 · 2019-07-10T23:18:56Z

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 · 2019-07-11T05:55:23Z

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 · 2019-07-11T06:10:51Z

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

LU4E · 2019-07-12T00:38:35Z

@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 · 2019-07-12T02:28:44Z

@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 · 2019-07-15T12:30:16Z

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

Biaocsu · 2019-07-15T12:35:17Z

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

ElegantLin · 2019-07-27T07:48:18Z

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

I downloaded a test script from https://raw.githubusercontent.com/tensorflow/tensorboard/master/tensorboard/tools/diagnose_tensorboard.py
I run it and it told me that I have two tensorboards with a different version. Also, it told me how to fix it.
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 · 2019-07-27T08:18:04Z

@ElegantLin thanks

TomorrowIsAnOtherDay · 2019-08-08T03:11:34Z

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?

ezyang · 2019-08-09T00:53:01Z

Upgrading priority as this issue seems to be affecting many people

lanpa · 2019-08-12T18:57:29Z

@ezyang I think @ElegantLin has provided the solution. The root cause is tensorboard version conflict.
@TomorrowIsAnOtherDay You can open a new conda environment and pip install torch, tensorboard for a pure pytorch setting.

ezyang · 2019-08-13T14:10:00Z

OK, in that case we can close this issue.

michaelthwan · 2019-09-25T06:55:55Z

### Suggestion: Fix conflicting installations

Conflicting package installations found. Depending on the order of
installations and uninstallations, behavior may be undefined. Please
uninstall ALL versions of TensorFlow and TensorBoard, then reinstall
ONLY the desired version of TensorFlow, which will transitively pull
in the proper version of TensorBoard. (If you use TensorBoard without
TensorFlow, just reinstall the appropriate version of TensorBoard
directly.)

Namely:

	pip uninstall tb-nightly tensorboard tensorflow-estimator tensorflow-gpu tf-estimator-nightly
	pip install tensorflow  # or `tensorflow-gpu`, or `tf-nightly`, ...

This suggestion generated by @ElegantLin 's script fixed my problem. Thanks~

novog · 2019-10-02T18:53:09Z

I experienced the same issue, and uninstalling and reinstalling tensorboard and tensorflow didn't help. In my case, I had a ghost copy of tensorboard 2.0.0 that had apparently not been uninstalled completely. It appeared in pip as "-ensorboard". Deleting the corresponding dist-info folder in my python environment fixed the problem.

ElegantLin · 2019-10-22T14:53:15Z

Someone ats(@) me. I always used conda to manage my Python environment. So if I met the problem that I could not uninstall it successfully, I would delete the environment and restart a new one. I hope this helps.

mmaybeno · 2019-10-31T18:10:49Z

I had this issue in colab. Resolved by uninstalling the current tensorboard and installing tf-nightly

!pip uninstall tensorboard
!pip install -U transformers torch torchvision tensorboardX tf-nightly grpcio==1.24.3

zheyuanWang · 2019-11-05T22:04:25Z

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

I downloaded a test script from https://raw.githubusercontent.com/tensorflow/tensorboard/master/tensorboard/tools/diagnose_tensorboard.py

I run it and it told me that I have two tensorboards with a different version. Also, it told me how to fix it.

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.

I have tensorflow 1.14 for python2 and tensorflow 2.0 for python3, this scrip doesn't have any actions suggestions. Does it mean that my enviroment of tensorflow has no problem?

here is the diagnose log:

Diagnostics

Diagnostics output

--- check: autoidentify
INFO: diagnose_tensorboard.py version 4725c70c7ed724e2d1b9ba5618d7c30b957ee8a4

--- check: general
INFO: sys.version_info: sys.version_info(major=3, minor=6, micro=8, releaselevel='final', serial=0)
INFO: os.name: posix
INFO: os.uname(): posix.uname_result(sysname='Linux', nodename='mrt214', release='4.15.0-48-generic', version='#51-Ubuntu SMP Wed Apr 3 08:28:49 UTC 2019', machine='x86_64')
INFO: sys.getwindowsversion(): N/A

--- check: package_management
INFO: has conda-meta: False
INFO: $VIRTUAL_ENV: '/home/zwang/env'

--- check: installed_packages
Traceback (most recent call last):
  File "/usr/lib/python3.6/runpy.py", line 183, in _run_module_as_main
    mod_name, mod_spec, code = _get_module_details(mod_name, _Error)
  File "/usr/lib/python3.6/runpy.py", line 142, in _get_module_details
    return _get_module_details(pkg_main_name, error)
  File "/usr/lib/python3.6/runpy.py", line 109, in _get_module_details
    __import__(pkg_name)
  File "/usr/lib/python3/dist-packages/pip/__init__.py", line 29, in <module>
    from pip.utils import get_installed_distributions, get_prog
  File "/usr/lib/python3/dist-packages/pip/utils/__init__.py", line 30, in <module>
    from pip._vendor.retrying import retry
ModuleNotFoundError: No module named 'pip._vendor.retrying'
Traceback (most recent call last):
  File "tensorboarddebug.py", line 420, in main
    suggestions.extend(check())
  File "tensorboarddebug.py", line 165, in installed_packages
    freeze = pip(["freeze", "--all"]).decode("utf-8").splitlines()
  File "tensorboarddebug.py", line 104, in pip
    return subprocess.check_output(command)
  File "/usr/lib/python3.6/subprocess.py", line 356, in check_output
    **kwargs).stdout
  File "/usr/lib/python3.6/subprocess.py", line 438, in run
    output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['/home/zwang/env/bin/python3', '-m', 'pip', '--disable-pip-version-check', 'freeze', '--all']' returned non-zero exit status 1.

--- check: tensorboard_python_version
INFO: tensorboard.version.VERSION: '1.14.0'

--- check: tensorflow_python_version
/home/zwang/.local/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint8 = np.dtype([("qint8", np.int8, 1)])
/home/zwang/.local/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/home/zwang/.local/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint16 = np.dtype([("qint16", np.int16, 1)])
/home/zwang/.local/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/home/zwang/.local/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint32 = np.dtype([("qint32", np.int32, 1)])
/home/zwang/.local/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  np_resource = np.dtype([("resource", np.ubyte, 1)])
/home/zwang/.local/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint8 = np.dtype([("qint8", np.int8, 1)])
/home/zwang/.local/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/home/zwang/.local/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint16 = np.dtype([("qint16", np.int16, 1)])
/home/zwang/.local/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/home/zwang/.local/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint32 = np.dtype([("qint32", np.int32, 1)])
/home/zwang/.local/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  np_resource = np.dtype([("resource", np.ubyte, 1)])
INFO: tensorflow.__version__: '1.14.0'
INFO: tensorflow.__git_version__: 'v1.14.0-rc1-22-gaf24dc91b5'

--- check: tensorboard_binary_path
INFO: which tensorboard: b'/home/zwang/.local/bin/tensorboard\n'

--- check: readable_fqdn
INFO: socket.getfqdn(): 'mrt214.mrt.uni-karlsruhe.de'

--- check: stat_tensorboardinfo
INFO: directory: /tmp/.tensorboard-info
INFO: .tensorboard-info directory does not exist

--- check: source_trees_without_genfiles
INFO: tensorboard_roots (2): ['/home/zwang/.local/lib/python3.6/site-packages', '/usr/local/lib/python3.6/dist-packages']; bad_roots (0): []

--- check: full_pip_freeze
Traceback (most recent call last):
  File "/usr/lib/python3.6/runpy.py", line 183, in _run_module_as_main
    mod_name, mod_spec, code = _get_module_details(mod_name, _Error)
  File "/usr/lib/python3.6/runpy.py", line 142, in _get_module_details
    return _get_module_details(pkg_main_name, error)
  File "/usr/lib/python3.6/runpy.py", line 109, in _get_module_details
    __import__(pkg_name)
  File "/usr/lib/python3/dist-packages/pip/__init__.py", line 29, in <module>
    from pip.utils import get_installed_distributions, get_prog
  File "/usr/lib/python3/dist-packages/pip/utils/__init__.py", line 30, in <module>
    from pip._vendor.retrying import retry
ModuleNotFoundError: No module named 'pip._vendor.retrying'
Traceback (most recent call last):
  File "tensorboarddebug.py", line 420, in main
    suggestions.extend(check())
  File "tensorboarddebug.py", line 77, in wrapper
    result = fn()
  File "tensorboarddebug.py", line 388, in full_pip_freeze
    logging.info("pip freeze --all:\n%s", pip(["freeze", "--all"]).decode("utf-8"))
  File "tensorboarddebug.py", line 104, in pip
    return subprocess.check_output(command)
  File "/usr/lib/python3.6/subprocess.py", line 356, in check_output
    **kwargs).stdout
  File "/usr/lib/python3.6/subprocess.py", line 438, in run
    output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['/home/zwang/env/bin/python3', '-m', 'pip', '--disable-pip-version-check', 'freeze', '--all']' returned non-zero exit status 1.

Next steps

No action items identified. Please copy ALL of the above output,
including the lines containing only backticks, into your GitHub issue
or comment. Be sure to redact any sensitive information.

UnnikrishnanBhargavakurup · 2019-11-07T07:26:04Z

Run the following code if it shows two tensorboard installed on your system remove one.

import pkg_resources

for entry_point in pkg_resources.iter_entry_points('tensorboard_plugins'):
    print(entry_point.dist)

grewe · 2019-11-08T22:36:00Z

how do you selectively remove one version of tensorboard

zhongweics · 2019-11-26T09:51:39Z

Next steps

No action items identified. Please copy ALL of the above output,
including the lines containing only backticks, into your GitHub issue
or comment. Be sure to redact any sensitive information.

kaen2891 · 2019-12-02T10:59:27Z

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

I downloaded a test script from https://raw.githubusercontent.com/tensorflow/tensorboard/master/tensorboard/tools/diagnose_tensorboard.py

I run it and it told me that I have two tensorboards with a different version. Also, it told me how to fix it.

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.

I solved my problem. Thanks a lot!

wj-Mcat · 2019-12-10T09:06:34Z

I fix the issue by following steps:

pip uninstall tb-nightly tensorboardX tensorboard
pip install tensorboard

codeninja · 2020-01-22T16:55:40Z

I had this issue in colab. Resolved by uninstalling the current tensorboard and installing tf-nightly
!pip uninstall tensorboard
!pip install -U transformers torch torchvision tensorboardX tf-nightly grpcio==1.24.3

I will throw my $0.02 in and remind you to also
!conda remove tensorboard

If you're running in a windows environment!

Tan12uja · 2020-02-13T06:00:02Z

Hello, I had the same problem today, and I fixed with the following simple steps:
I navigated to the directory from where the error was coming from - site-packages - tensorboard.
Since, tensorflow object detection API 's tf.contrib does not work in tensorflow 2.0, I had tensorflow 1.14 installed in my computer to run the detection model.
So, when I navigated to the directory 'tensorboard' inside site-packages - I found "tensorboar-2.0.2.dist-info, and tensorflow_estimator-2.0.2.dist-info'. I removed these files from the directory, and the problem was solved.

YuehLinChung · 2020-02-15T08:14:56Z

Run the following code if it shows two tensorboard installed on your system remove one.
import pkg_resources

for entry_point in pkg_resources.iter_entry_points('tensorboard_plugins'):
    print(entry_point.dist)

After running this code, I got the output below:

-ensorboard 2.0.2
tensorboard 2.0.0

Does it mean I have two tensorboard installed?

YuehLinChung · 2020-02-15T08:26:16Z

Run the following code if it shows two tensorboard installed on your system remove one.
import pkg_resources

for entry_point in pkg_resources.iter_entry_points('tensorboard_plugins'):
    print(entry_point.dist)
After running this code, I got the output below:

-ensorboard 2.0.2
tensorboard 2.0.0

Does it mean I have two tensorboard installed?

Solved!
I deleted the tensorboard-2.0.0.dist-info folder from Lib/site-packages then tensorboard works.
But I don't know whether it would cause another problem or not.

Tan12uja · 2020-02-17T07:53:53Z

I was also thinking the same, if some error pops up, however, none faced so far...
The safest way is to not delete, however, keep the files somewhere else... as python searches the file in that specific folder only, and gets confused :)

sunqiang85 · 2020-03-29T03:22:43Z

in my case, i uninstalled tensorboard-plugin-wit, and it works.

Ssong24 · 2020-03-30T08:15:56Z

in my case, i uninstalled tensorboard-plugin-wit, and it works.

It worked it to me as well. Thank you!
And I couldn't remove package from conda command, so I just manually found the path of the tensorboard-plugin-wit folder and remove that in file directory .

Hoiy · 2020-03-31T06:41:07Z

Summing up for latecomers, personally I have met all these errors myself by upgrading and downgrading tensorflow and tensorboard.

Symptom 1 `Tensorboard: ValueError: Duplicate plugins for name projector`

Download diagnose script:

wget https://raw.githubusercontent.com/tensorflow/tensorboard/master/tensorboard/tools/diagnose_tensorboard.py

Execute it and follow its instruction:

python diagnose_tensorboard.py

Symptom 2 `Tensorboard: ValueError: Duplicate plugins for name projector` and diagnose script shows no action

Run pip freeze to see if you get this warning WARNING: Could not generate requirement for distribution -ensorboard 2.1.0

If yes, then there is a ghost copy of tensorboard. Hopefully, the fix below has no side effect, I am not sure about it.

cd <site-packages>
rm -rf "~ensorboard"
rm -rf "~ensorboard-2.1.0.dist-info"

Symptom 3: `Tensorboard: ValueError: Duplicate plugins for name whatif`

pip uninstall tensorboard-plugin-wit

maciejskorski · 2020-04-01T09:50:00Z

in my case, i uninstalled tensorboard-plugin-wit, and it works.

Worked for me as well, had this issue under Colab

MeghnaNatraj · 2020-04-01T11:10:30Z

The following solution ALWAYS works for me irrespective of the updates made to tensorboard (eg: The new packagetensorboard-plugin-wit released in Feb 2020, is causing issues to many people here, and there can be other updates in the future).

Add the following code snippet in every colab tutorial before you load tensorboard.

# Remove all TensorBoard packages.
! pip list --format=freeze | grep tensorboard | xargs pip uninstall -y
# Install TensorFlow again (This command will only install the default TensorBoard package associated with this TensorFlow package). 
! pip install -q tensorflow

ThomDumont · 2020-09-24T22:42:30Z

@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.

VOCE É UM MONSTRO, UM DEUS O MAIS FODA DE TODOS DENTRO DOS OS PROGRAMADORES

JadeSure · 2020-09-29T10:58:21Z

Next steps

No action items identified. Please copy ALL of the above output,
including the lines containing only backticks, into your GitHub issue
or comment. Be sure to redact any sensitive information.

same problem

ondraw · 2021-01-14T02:06:40Z

my case

Run the following code if it shows two tensorboard installed on your system remove one.

import pkg_resources

for entry_point in pkg_resources.iter_entry_points('tensorboard_plugins'):
print(entry_point.dist)

-nightly
-b-nightly 2.5.0a20210112
tensorboard 2.4.0
tensorboard-plugin-wit 1.7.0

result >
pip uninstall -b-nightly <= can not uninstall

you should direcretly delete folder;
ex>
you find folder ex> python -m site
~-_nightly-2.5.0a20201223.dist-info
~-_nightly-2.5.0a20210112.dist-info
~b_nightly-2.5.0a20201223.dist-info
~b_nightly-2.5.0a20210112.dist-info

delete -rf ~-_nightly-2.5.0a20201223.dist-info
...
...
...
good luck

glenn-jocher · 2021-03-23T21:49:35Z

Seeing same error in YOLOv5 docker image in issue ultralytics/yolov5#2573

xingh15 · 2021-05-26T08:37:02Z

Next steps

No action items identified. Please copy ALL of the above output,
including the lines containing only backticks, into your GitHub issue
or comment. Be sure to redact any sensitive information.

Maybe it works.

Run the following code, and it shows the tensorboard environment installed on your system.

import pkg_resources
for entry_point in pkg_resources.iter_entry_points('tensorboard_plugins'):
    print(entry_point.dist)

In my case, it returns:

tb-nightly 2.5.0a20201121
torch-tb-profiler 0.1.0
tensorboard 2.5.0
tensorboard-plugin-wit 1.8.0

Then follow the steps:

pip uninstall tb-nightly tensorboard
pip install tensorboard

Note: pip can be replaced by conda.

And it works!

Additionally, remote access to Tensorboard:
Remote linux:
tensorboard --logdir="/path/to/log-directory"
Host PC:
ssh -L 16006:127.0.0.1:6006 account@server.address
Access http://127.0.0.1:16006/ in your browser.

Ascrypto · 2021-11-26T04:09:30Z

Thank you for the diagnostic script.

Although I have tensorboard 2.7.0 and tensorflow 2.7.0 installed (I am using pycharm) in a virtual env, the output of the script says these packages are not installed.

Diagnostics

Diagnostics output

--- check: autoidentify
--- check: general
INFO: sys.version_info: sys.version_info(major=3, minor=8, micro=0, releaselevel='final', serial=0)
INFO: os.name: posix

--- check: package_management
INFO: has conda-meta: False
INFO: $VIRTUAL_ENV: None

--- check: installed_packages
WARNING: The directory '/home/ubuntu/.cache/pip' or its parent directory is not owned or is not writable by the current user. The cache has been disabled. Check the permissions and owner of that directory. If executing pip with sudo, you should use sudo's -H flag.
WARNING: no installation among: ['tb-nightly', 'tensorboard', 'tensorflow-tensorboard']
WARNING: no installation among: ['tensorflow', 'tensorflow-gpu', 'tf-nightly', 'tf-nightly-2.0-preview', 'tf-nightly-gpu', 'tf-nightly-gpu-2.0-preview']
WARNING: no installation among: ['tensorflow-estimator', 'tensorflow-estimator-2.0-preview', 'tf-estimator-nightly']

--- check: tensorboard_python_version
Traceback (most recent call last):
  File "test.py", line 522, in main
    suggestions.extend(check())
  File "test.py", line 75, in wrapper
    result = fn()
  File "test.py", line 271, in tensorboard_python_version
    from tensorboard import version
ModuleNotFoundError: No module named 'tensorboard'

--- check: tensorflow_python_version
Traceback (most recent call last):
  File "test.py", line 522, in main
    suggestions.extend(check())
  File "test.py", line 75, in wrapper
    result = fn()
  File "test.py", line 278, in tensorflow_python_version
    import tensorflow as tf
ModuleNotFoundError: No module named 'tensorflow'

--- check: tensorboard_data_server_version
INFO: no data server installed

--- check: tensorboard_binary_path
INFO: which tensorboard: b'/usr/local/bin/tensorboard\n'

--- check: stat_tensorboardinfo
INFO: directory: /tmp/.tensorboard-info

--- check: source_trees_without_genfiles
INFO: tensorboard_roots (0): []; bad_roots (0): []

--- check: full_pip_freeze
WARNING: The directory '/home/ubuntu/.cache/pip' or its parent directory is not owned or is not writable by the current user. The cache has been disabled. Check the permissions and owner of that directory. If executing pip with sudo, you should use sudo's -H flag.
INFO: pip freeze --all:
tenacity==8.0.1
terminado==0.12.1
testpath==0.5.0
textwrap3==0.9.2
toml==0.10.2
tomli==1.2.2
torch==1.5.1
tornado==6.1
tqdm==4.62.3
traitlets==5.1.1
Twisted==17.9.0
typing-extensions==3.10.0.2

Next steps

Note: no suggestions were provided on how to fix it.

any suggestion would be helpful. ( I tried all of the above solutions, to no avail.)

eshwarkamal · 2021-12-27T13:31:00Z

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

I downloaded a test script from https://raw.githubusercontent.com/tensorflow/tensorboard/master/tensorboard/tools/diagnose_tensorboard.py

I run it and it told me that I have two tensorboards with a different version. Also, it told me how to fix it.

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.

Thanks a lot, the problem was resolved successfully! ;) @ElegantLin

Hqm10790 · 2022-10-09T09:48:45Z

i resolved by uninstalling tensorboard ,tensorboard-data-server ,tensorboard-plugin-wit , tb-nightly
and then pip install tensorboard in terminal, hope to help u

tboulet · 2023-04-25T21:08:55Z

I had a strange package installed in my libs named "~ensorboard" and "~ensorboard-2.12.0.dist-info"
I went in my_venv\Lib\site-packages and deleted them

peterhchen · 2023-12-04T22:26:40Z

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

I downloaded a test script from https://raw.githubusercontent.com/tensorflow/tensorboard/master/tensorboard/tools/diagnose_tensorboard.py

I run it and it told me that I have two tensorboards with a different version. Also, it told me how to fix it.

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.

Thanks a lot.
https://raw.githubusercontent.com/tensorflow/tensorboard/master/tensorboard/tools/diagnose_tensorboard.py
The script is very helpful to identify that I have the duplicate installation of tensorboard (one came from nighly, one from regular installation). I made mistake and I nver know that. At the end, it show how to remove the duplicate installtion.
I remove sveral times and finally clean the nightly version.
Then, I reinstall the tensorflow.

hungle-i3 · 2023-12-15T11:49:43Z

Following command works to me

source /venv/bin/activate && \
pip3 uninstall -y tensorboard tb-nightly && \
pip3 install tensorboard tensorflow && \
pip3 cache purge && \
deactivate

sh-taheri · 2024-04-29T14:21:11Z

Hi, in my case, for some reason when ,in my conda environment, I ran "tensorboard --logdir=runs" I got the same error, because it was using my base environment. I used "/path/to/my/conda/env/bin/tensorboard --logdir=path/to/my/logs" instead and the issue was resolved.

ezyang added module: tensorboard triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module labels Jul 10, 2019

ezyang added high priority triage review labels Aug 9, 2019

ezyang changed the title ~~ValueError: Duplicate plugins for name projector~~ Tensorboard: ValueError: Duplicate plugins for name projector Aug 9, 2019

ezyang added the module: dependency bug Problem is not caused by us, but caused by an upstream library we use label Aug 13, 2019

ezyang closed this as completed Aug 13, 2019

MeghnaNatraj mentioned this issue Apr 1, 2020

%tensorboard doesn’t work with %tensorflow_version 1.x (duplicate plugins for name whatif) tensorflow/tensorboard#3460

Closed

psybuzz mentioned this issue Apr 23, 2020

A special error caused: tensorboard can not uninstall competely， and the tensorboard app occur in conda list but not in pip list tensorflow/tensorboard#3536

Closed

GoingMyWay mentioned this issue May 4, 2020

tensorboard gives ValueError: Duplicate plugins for name projector tensorflow/tensorflow#32384

Closed

jpainam mentioned this issue Aug 13, 2020

your dependency tb-nightly breaks tensorboard KaiyangZhou/deep-person-reid#363

Closed

glenn-jocher mentioned this issue Mar 23, 2021

Docker Container - Tensorboard logging fails ultralytics/yolov5#2573

Closed

Ascrypto mentioned this issue Nov 26, 2021

Thank you for the diagnostic script. #68927

Open

csyanghan mentioned this issue Jan 12, 2022

The tensorboard is blocked by "/data/plugins_listing" tensorflow/tensorboard#5481

Closed

Tensorboard: ValueError: Duplicate plugins for name projector #22676

Tensorboard: ValueError: Duplicate plugins for name projector #22676

Comments

Biaocsu commented Jul 10, 2019 • edited by ezyang

ezyang commented Jul 10, 2019

huangwl18 commented Jul 10, 2019

LU4E commented Jul 11, 2019

Biaocsu commented Jul 11, 2019

LU4E commented Jul 12, 2019

Biaocsu commented Jul 12, 2019

YosukeSugiura commented Jul 15, 2019

Biaocsu commented Jul 15, 2019

ElegantLin commented Jul 27, 2019

Biaocsu commented Jul 27, 2019

TomorrowIsAnOtherDay commented Aug 8, 2019 • edited

ezyang commented Aug 9, 2019

lanpa commented Aug 12, 2019

ezyang commented Aug 13, 2019

michaelthwan commented Sep 25, 2019

novog commented Oct 2, 2019

ElegantLin commented Oct 22, 2019 • edited

mmaybeno commented Oct 31, 2019

zheyuanWang commented Nov 5, 2019 • edited

Diagnostics

Next steps

UnnikrishnanBhargavakurup commented Nov 7, 2019

grewe commented Nov 8, 2019

zhongweics commented Nov 26, 2019

Next steps

kaen2891 commented Dec 2, 2019

wj-Mcat commented Dec 10, 2019

codeninja commented Jan 22, 2020 • edited

Tan12uja commented Feb 13, 2020

YuehLinChung commented Feb 15, 2020

YuehLinChung commented Feb 15, 2020

Tan12uja commented Feb 17, 2020

sunqiang85 commented Mar 29, 2020

Ssong24 commented Mar 30, 2020

Hoiy commented Mar 31, 2020

Symptom 1 Tensorboard: ValueError: Duplicate plugins for name projector

Symptom 2 Tensorboard: ValueError: Duplicate plugins for name projector and diagnose script shows no action

Symptom 3: Tensorboard: ValueError: Duplicate plugins for name whatif

maciejskorski commented Apr 1, 2020

MeghnaNatraj commented Apr 1, 2020 • edited

ThomDumont commented Sep 24, 2020

JadeSure commented Sep 29, 2020

Next steps

ondraw commented Jan 14, 2021 • edited

glenn-jocher commented Mar 23, 2021

xingh15 commented May 26, 2021 • edited

Next steps

Ascrypto commented Nov 26, 2021

Diagnostics

Next steps

eshwarkamal commented Dec 27, 2021

Hqm10790 commented Oct 9, 2022

tboulet commented Apr 25, 2023

peterhchen commented Dec 4, 2023

hungle-i3 commented Dec 15, 2023 • edited

sh-taheri commented Apr 29, 2024

Biaocsu commented Jul 10, 2019 •

edited by ezyang

TomorrowIsAnOtherDay commented Aug 8, 2019 •

edited

ElegantLin commented Oct 22, 2019 •

edited

zheyuanWang commented Nov 5, 2019 •

edited

codeninja commented Jan 22, 2020 •

edited

Symptom 1 `Tensorboard: ValueError: Duplicate plugins for name projector`

Symptom 2 `Tensorboard: ValueError: Duplicate plugins for name projector` and diagnose script shows no action

Symptom 3: `Tensorboard: ValueError: Duplicate plugins for name whatif`

MeghnaNatraj commented Apr 1, 2020 •

edited

ondraw commented Jan 14, 2021 •

edited

xingh15 commented May 26, 2021 •

edited

hungle-i3 commented Dec 15, 2023 •

edited