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[manuyavuz]

Issue

Tensorboard browser does not load or show any results. A screenshot:

Please let me know if there is any other diagnostics I can do.

Environment information (required)

Diagnostics

Diagnostics output

--- check: autoidentify
INFO: diagnose_tensorboard.py version e43767ef2b648d0d5d57c00f38ccbd38390e38da

--- check: general
INFO: sys.version_info: sys.version_info(major=3, minor=8, micro=5, releaselevel='final', serial=0)
INFO: os.name: posix
INFO: os.uname(): posix.uname_result(sysname='Linux', nodename='amsterdam', release='5.8.0-41-generic', version='#46~20.04.1-Ubuntu SMP Mon Jan 18 17:52:23 UTC 2021', machine='x86_64')
INFO: sys.getwindowsversion(): N/A

--- check: package_management
INFO: has conda-meta: False
INFO: $VIRTUAL_ENV: 'REDACTED/.venv'

--- check: installed_packages
INFO: installed: tensorboard==2.5.0
INFO: installed: tensorflow==2.5.0
INFO: installed: tensorflow-estimator==2.5.0
INFO: installed: tensorboard-data-server==0.6.1

--- check: tensorboard_python_version
INFO: tensorboard.version.VERSION: '2.5.0'

--- check: tensorflow_python_version
2021-07-02 19:25:12.632593: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudart.so.11.0
INFO: tensorflow.__version__: '2.5.0'
INFO: tensorflow.__git_version__: 'v2.5.0-rc3-213-ga4dfb8d1a71'

--- check: tensorboard_data_server_version
INFO: data server binary: 'REDACTED/.venv/lib/python3.8/site-packages/tensorboard_data_server/bin/server'
INFO: data server binary version: b'rustboard 0.6.1'

--- check: tensorboard_binary_path
INFO: which tensorboard: b'REDACTED/.venv/bin/tensorboard\n'

--- check: addrinfos
socket.has_ipv6 = True
socket.AF_UNSPEC = <AddressFamily.AF_UNSPEC: 0>
socket.SOCK_STREAM = <SocketKind.SOCK_STREAM: 1>
socket.AI_ADDRCONFIG = <AddressInfo.AI_ADDRCONFIG: 32>
socket.AI_PASSIVE = <AddressInfo.AI_PASSIVE: 1>
Loopback flags: <AddressInfo.AI_ADDRCONFIG: 32>
Loopback infos: [(<AddressFamily.AF_INET6: 10>, <SocketKind.SOCK_STREAM: 1>, 6, '', ('::1', 0, 0, 0)), (<AddressFamily.AF_INET: 2>, <SocketKind.SOCK_STREAM: 1>, 6, '', ('127.0.0.1', 0))]
Wildcard flags: <AddressInfo.AI_PASSIVE: 1>
Wildcard infos: [(<AddressFamily.AF_INET: 2>, <SocketKind.SOCK_STREAM: 1>, 6, '', ('0.0.0.0', 0)), (<AddressFamily.AF_INET6: 10>, <SocketKind.SOCK_STREAM: 1>, 6, '', ('::', 0, 0, 0))]

--- check: readable_fqdn
INFO: socket.getfqdn(): 'amsterdam'

--- check: stat_tensorboardinfo
INFO: directory: /tmp/.tensorboard-info
INFO: os.stat(...): os.stat_result(st_mode=16895, st_ino=1048693, st_dev=66307, st_nlink=2, st_uid=1007, st_gid=1007, st_size=4096, st_atime=1625267174, st_mtime=1625267173, st_ctime=1625267173)
INFO: mode: 0o40777

--- check: source_trees_without_genfiles
INFO: tensorboard_roots (1): ['REDACTED/.venv/lib/python3.8/site-packages']; bad_roots (0): []

--- check: full_pip_freeze
INFO: pip freeze --all:
absl-py==0.13.0
argon2-cffi==20.1.0
astunparse==1.6.3
async-generator==1.10
attrs==21.2.0
backcall==0.2.0
bleach==3.3.0
cachetools==4.2.2
certifi==2021.5.30
cffi==1.14.5
chardet==4.0.0
debugpy==1.3.0
decorator==5.0.9
defusedxml==0.7.1
entrypoints==0.3
flatbuffers==1.12
gast==0.4.0
google-auth==1.32.1
google-auth-oauthlib==0.4.4
google-pasta==0.2.0
grpcio==1.34.1
h5py==3.1.0
idna==2.10
ipykernel==6.0.1
ipython==7.25.0
ipython-genutils==0.2.0
ipywidgets==7.6.3
jedi==0.18.0
Jinja2==3.0.1
jsonschema==3.2.0
jupyter==1.0.0
jupyter-client==6.1.12
jupyter-console==6.4.0
jupyter-core==4.7.1
jupyterlab-pygments==0.1.2
jupyterlab-widgets==1.0.0
keras-nightly==2.5.0.dev2021032900
Keras-Preprocessing==1.1.2
Markdown==3.3.4
MarkupSafe==2.0.1
matplotlib-inline==0.1.2
mistune==0.8.4
nbclient==0.5.3
nbconvert==6.1.0
nbformat==5.1.3
nest-asyncio==1.5.1
notebook==6.4.0
numpy==1.19.5
oauthlib==3.1.1
opt-einsum==3.3.0
packaging==20.9
pandocfilters==1.4.3
parso==0.8.2
pexpect==4.8.0
pickleshare==0.7.5
pip==20.1.1
prometheus-client==0.11.0
prompt-toolkit==3.0.19
protobuf==3.17.3
ptyprocess==0.7.0
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycparser==2.20
Pygments==2.9.0
pyparsing==2.4.7
pyrsistent==0.18.0
python-dateutil==2.8.1
pyzmq==22.1.0
qtconsole==5.1.1
QtPy==1.9.0
requests==2.25.1
requests-oauthlib==1.3.0
rsa==4.7.2
Send2Trash==1.7.1
setuptools==47.1.0
six==1.15.0
tensorboard==2.5.0
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.0
tensorflow==2.5.0
tensorflow-estimator==2.5.0
termcolor==1.1.0
terminado==0.10.1
testpath==0.5.0
tornado==6.1
traitlets==5.0.5
typing-extensions==3.7.4.3
urllib3==1.26.6
wcwidth==0.2.5
webencodings==0.5.1
Werkzeug==2.0.1
wheel==0.36.2
widgetsnbextension==3.5.1
wrapt==1.12.1

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.

Steps to reproduce (required)

$ which python
/home/yavuz/miniconda3/bin/python
$ python -m venv .venv
$ source .venv/bin/activate
(.venv) $ pip install tensorflow

After above, I only ran the sample notebook from https://storage.googleapis.com/tensorflow_docs/tensorboard/docs/get_started.ipynb

Also, here is tensorboard --inspect result:

(.venv) $ tensorboard --inspect --logdir=logs
2021-07-02 19:42:29.673052: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudart.so.11.0
======================================================================
Processing event files... (this can take a few minutes)
======================================================================

Found event files in:
logs/fit/20210702-191953/train
logs/fit/20210702-191953/validation

These tags are in logs/fit/20210702-191953/train:
audio -
histograms
   dense/bias_0
   dense/kernel_0
   dense_1/bias_0
   dense_1/kernel_0
images -
scalars
   epoch_accuracy
   epoch_loss
tensor
   batch_2
   keras
======================================================================

Event statistics for logs/fit/20210702-191953/train:
audio -
graph
   first_step           0
   last_step            0
   max_step             0
   min_step             0
   num_steps            1
   outoforder_steps     []
histograms
   first_step           0
   last_step            0
   max_step             0
   min_step             0
   num_steps            1
   outoforder_steps     []
images -
scalars
   first_step           0
   last_step            0
   max_step             0
   min_step             0
   num_steps            1
   outoforder_steps     []
sessionlog:checkpoint -
sessionlog:start -
sessionlog:stop -
tensor
   first_step           0
   last_step            2
   max_step             2
   min_step             0
   num_steps            2
   outoforder_steps     []
======================================================================

These tags are in logs/fit/20210702-191953/validation:
audio -
histograms -
images -
scalars
   epoch_accuracy
   epoch_loss
   evaluation_accuracy_vs_iterations
   evaluation_loss_vs_iterations
tensor -
======================================================================

Event statistics for logs/fit/20210702-191953/validation:
audio -
graph -
histograms -
images -
scalars
   first_step           1875
   last_step            0
   max_step             1875
   min_step             0
   num_steps            2
   outoforder_steps     [(1875, 0)]
sessionlog:checkpoint -
sessionlog:start -
sessionlog:stop -
tensor -
======================================================================

[anargu]

It's the same issue I have with Tensorboard. the version I have is 2.5.0

[anargu]

Hey, I could solve it. In my case I'm using pytorch and I uninstalled the package "torch-tb-profiler" and then tensorboard works just fine. I came with this solution after reading #5076. Basically it's the same issue. Hope it works for you as well.

[arghyaganguly]

@manuyavuz , please try #5076 and it will be great if you can give the version you are using for tensorboard. Thanks.

[manuyavuz]

@arghyaganguly thanks for the feedback. Indeed removing the pytorch plugin fixes the issue. I could trace the underlying problem in torch profiler plugin code (PR pytorch/kineto#335), hope that will provide the fix.

[arghyaganguly]

Thanks @manuyavuz .Closing this here.