Running Tensorboard 1.15 behind proxy - Projector
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Diagnostics
Diagnostics output
--- check: autoidentify
INFO: diagnose_tensorboard.py version 393931f9685bd7e0f3898d7dcdf28819fef54c43
--- 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='tcd-0', release='4.14.104-95.84.amzn2.x86_64', version='#1SMP Sat Mar 2 00:40:20 UTC 2019', machine='x86_64')
INFO: sys.getwindowsversion(): N/A
--- check: package_management
INFO: has conda-meta: True
INFO: $VIRTUAL_ENV: None
--- check: installed_packages
INFO: installed: tb-nightly==1.15.0a20190723
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
INFO: tensorboard.version.VERSION: '1.15.0a20190723'
--- check: tensorflow_python_version
Traceback (most recent call last):
File "diagnose_tensorboard.py", line 419, in main
suggestions.extend(check())
File "diagnose_tensorboard.py", line 77, in wrapper
result = fn()
File "diagnose_tensorboard.py", line 236, in tensorflow_python_version
import tensorflow as tf
ModuleNotFoundError: No module named 'tensorflow'
--- check: tensorboard_binary_path
INFO: which tensorboard: b'/opt/conda/envs/moksha/bin/tensorboard\n'
--- check: readable_fqdn
INFO: socket.getfqdn(): 'tcd-0'
--- check: stat_tensorboardinfo
INFO: directory: /tmp/.tensorboard-info
INFO: os.stat(...): os.stat_result(st_mode=16895, st_ino=113246326, st_dev=96, st_nlink=2, st_uid=0, st_gid=0, st_size=28,st_atime=1563953558, st_mtime=1563960989, st_ctime=1563960989)
INFO: mode: 0o40777
--- check: source_trees_without_genfiles
INFO: tensorboard_roots (1): ['/opt/conda/envs/moksha/lib/python3.6/site-packages']; bad_roots (0): []
--- check: full_pip_freeze
INFO: pip freeze --all:
absl-py==0.7.1
aiohttp==3.5.4
asn1crypto==0.24.0
async-timeout==3.0.1
attrs==19.1.0
backcall==0.1.0
bleach==3.1.0
boto3==1.9.162
botocore==1.12.163
certifi==2019.6.16
cffi==1.11.5
chardet==3.0.4
Click==7.0
cloudpickle==1.2.1
cryptography==2.7
cycler==0.10.0
Cython==0.29.6
cytoolz==0.9.0.1
daal4py==2019.4
dask==2.1.0
dask-glm==0.2.0
decorator==4.4.0
defusedxml==0.6.0
docutils==0.14
entrypoints==0.3
future==0.17.1
grpcio==1.22.0
HeapDict==1.0.0
idna==2.6
idna-ssl==1.1.0
ipykernel==5.1.1
ipython==7.6.1
ipython-genutils==0.2.0
ipywidgets==7.5.0
jedi==0.14.1
Jinja2==2.10.1
jmespath==0.9.4
joblib==0.13.2
jsonschema==3.0.1
jupyter==1.0.0
jupyter-client==5.3.1
jupyter-console==6.0.0
jupyter-core==4.5.0
jupyter-server-proxy==1.1.0
karma-perf==114
kiwisolver==1.0.1
llvmlite==0.29.0
Markdown==3.1.1
MarkupSafe==1.1.1
matplotlib==3.0.3
mistune==0.8.4
mkl-fft==1.0.13
mkl-random==1.0.4
msgpack==0.6.1
multidict==4.5.2
multipledispatch==0.6.0
nb-conda-kernels==2.2.2
nbconvert==5.5.0
nbformat==4.4.0
notebook==6.0.0
numba==0.45.0
numexpr==2.6.8
numpy==1.16.2
pandas==0.24.1+0.g1700680.dirty
pandocfilters==1.4.2
parso==0.5.1
pexpect==4.7.0
pickleshare==0.7.5
Pillow==6.1.0
pip==10.0.1
prometheus-client==0.7.1
prompt-toolkit==2.0.9
protobuf==3.9.0
ptyprocess==0.6.0
pyarrow==0.11.1
pycparser==2.18
Pygments==2.4.2
pyOpenSSL==17.5.0
pyparsing==2.2.0
pyrsistent==0.15.3
PySocks==1.6.7
python-dateutil==2.6.0
pytz==2018.4
PyYAML==5.1.1
pyzmq==18.0.2
qtconsole==4.5.1
s3transfer==0.2.0
scikit-learn==0.20.3
scipy==1.2.0
Send2Trash==1.5.0
setuptools==41.0.1
simpervisor==0.3
six==1.11.0
sklearn==0.0
sortedcontainers==2.1.0
tb-nightly==1.15.0a20190723
TBB==0.1
terminado==0.8.2
testpath==0.4.2
toolz==0.10.0
torch==1.1.0
tornado==6.0.3
traitlets==4.3.2
typing-extensions==3.7.4
urllib3==1.24.1
wcwidth==0.1.7
webencodings==0.5.1
Werkzeug==0.15.5
wheel==0.31.0
widgetsnbextension==3.5.0
yarl==1.3.0
zict==1.0.0
Next steps
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Issue description
Issue exists only on nightly version ! 1.14 OK.
I’m running the Tensorboard version nightly 1.15 behind a jupyter-server-proxy in a notebook Kubeflow cluster. I use Jupyter server proxy to reverse proxy Tensorboard from port 6006 to the address notebooks/kubeflow/{kubeflowNotebookPath}/proxy/6006/.
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I run tensorboard without specifying any prefix path.
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Scalars / histograms and Distributions are working great : js files / images points out directly to /kubeflow/{kubeflowNotebookPath}/proxy/6006/ without any additional config.
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However projector does not work correctly, it just shows a white frame. I checked the developper debugger and it seems Tensorboard tries to load directly an index.js file without adding the proxy path. (https://kubeflow-ui-***.*******./data/plugin/projector/index.js)
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I did not find any other tabs of Tensorboard with similar issues and everything else is working great 👍
On my side, I installed back 1.14 and everything worked again,
Best
Issue Analytics
- State:
- Created 4 years ago
- Comments:8 (1 by maintainers)
Top GitHub Comments
@tanguycdls
Closing this issue as it is resolved in 2.5 version, you can refer here. Feel free to reopen if it’s still persists. Thanks
In case of the Profile plugin, it’s already fixed but not released yet - but a nightly build package should already support it, see: https://github.com/tensorflow/profiler/issues/45