Tensorboard: PNG Export problem

Created on 16 Aug 2017  路  8Comments  路  Source: tensorflow/tensorboard

I was using tensorboard installed with pip on python 3, everything looks good. very nice PNG export. It was with my PC at my office with a big screen. This the output of it:
graph-run

Now I want to export the almost the same network with my PC at home, the PNG looks rediculously low resolution and distorted. At home I have compiled the tensorflow from source and the version is '1.3.0-rc2'. And I have a very low resolution screen at home
this is the output:

graph-large_attrs_key _too_large_attrs limit_attr_size 1024 run

All 8 comments

Hi鈥攖hanks for reporting. This is known: see #88.

@yosoufe Thanks for pinging us here; I've just fixed this in #371 and will let you know when it merges.

@yosoufe fixed; this should be in our 0.1.3 release.

@wchargin I have reinstalled tensorflow from the source. Shall I update the tensorboard independently. Because I still get the low resolution PNG export. How should I update it??

@yosoufe: Could you please post the outputs of pip list, which tensorboard, and python -c 'import tensorboard.version; print(tensorboard.version.VERSION)'?

pip list
DEPRECATION: The default format will switch to columns in the future. You can use --format=(legacy|columns) (or define a format=(legacy|columns) in your pip.conf under the [list] section) to disable this warning.
appdirs (1.4.3)
apturl (0.5.2)
arrow (0.10.0)
autograd (1.1.11)
backports.weakref (1.0rc1)
beautifulsoup4 (4.4.1)
bidict (0.13.1)
bleach (1.5.0)
blinker (1.3)
Brlapi (0.6.4)
CDApplet (1.0)
CDBashApplet (1.0)
chardet (2.3.0)
checkbox-support (0.22)
click (6.7)
colorama (0.3.9)
command-not-found (0.3)
cryptography (1.2.3)
cycler (0.10.0)
Cython (0.26)
daemonocle (1.0.1)
decorator (4.0.10)
defer (1.0.6)
devscripts (2.16.2ubuntu3)
entrypoints (0.2.2)
feedparser (5.1.3)
future (0.16.0)
guacamole (0.9.2)
h5py (2.7.0)
html5lib (0.9999999)
httplib2 (0.9.1)
idna (2.0)
imageio (1.6)
inotify-simple (1.1.1)
ipykernel (4.6.1)
ipython (6.1.0)
ipython-genutils (0.2.0)
ipywidgets (6.0.0)
jedi (0.10.2)
Jinja2 (2.9.5)
jsonschema (2.6.0)
jupyter (1.0.0)
jupyter-client (5.1.0)
jupyter-console (5.1.0)
jupyter-core (4.3.0)
keyring (10.3.2)
language-selector (0.1)
louis (2.6.4)
lxml (3.5.0)
Magic-file-extensions (0.2)
Mako (1.0.3)
Markdown (2.2.0)
MarkupSafe (0.23)
matplotlib (2.0.0)
mistune (0.7.3)
moviepy (0.2.2.11)
mpmath (0.19)
Nautilus-scripts-manager (2.0)
nbconvert (5.1.1)
nbformat (4.3.0)
nose (1.3.7)
notebook (4.4.1)
numpy (1.13.1)
oauthlib (1.0.3)
onboard (1.2.0)
onedrivesdk (1.1.8)
packaging (16.8)
padme (1.1.1)
pandas (0.19.2)
pandocfilters (1.4.1)
pbr (1.10.0)
pexpect (4.0.1)
pickleshare (0.7.4)
Pillow (3.1.2)
pip (9.0.1)
plainbox (0.25)
portpicker (1.1.1)
prompt-toolkit (1.0.15)
protobuf (3.4.0)
psutil (5.2.2)
ptyprocess (0.5)
py (1.4.33)
py-cpuinfo (3.3.0)
pyasn1 (0.1.9)
pycuda (2016.1.2)
pycups (1.9.73)
pycurl (7.43.0)
Pygments (2.2.0)
pygobject (3.20.0)
PyJWT (1.3.0)
pyparsing (2.1.10)
pytest (3.0.7)
python-apt (1.1.0b1)
python-dateutil (2.6.0)
python-debian (0.1.27)
python-systemd (231)
pytools (2016.2.6)
pytz (2016.10)
pyxdg (0.25)
PyYAML (3.12)
pyzmq (16.0.2)
qtconsole (4.2.1)
reportlab (3.3.0)
requests (2.13.0)
scikit-learn (0.18)
scipy (0.19.1)
screen-resolution-extra (0.0.0)
SecretStorage (2.3.1)
Send2Trash (1.3.0)
sessioninstaller (0.0.0)
setuptools (36.2.7)
simplegeneric (0.8.1)
six (1.10.0)
sklearn (0.0)
ssh-import-id (5.5)
stevedore (1.20.0)
sympy (1.0)
system-service (0.3)
tabulate (0.7.7)
tensorflow (1.3.0)
tensorflow-tensorboard (0.1.2)
terminado (0.6)
testpath (0.3)
Theano (0.8.2)
tornado (4.5.1)
tqdm (4.10.0)
traitlets (4.3.2)
ubuntu-drivers-common (0.0.0)
ufw (0.35)
unattended-upgrades (0.1)
unity-scope-calculator (0.1)
unity-scope-chromiumbookmarks (0.1)
unity-scope-colourlovers (0.1)
unity-scope-devhelp (0.1)
unity-scope-firefoxbookmarks (0.1)
unity-scope-gdrive (0.7)
unity-scope-manpages (0.1)
unity-scope-openclipart (0.1)
unity-scope-texdoc (0.1)
unity-scope-tomboy (0.1)
unity-scope-virtualbox (0.1)
unity-scope-yelp (0.1)
unity-scope-zotero (0.1)
urllib3 (1.13.1)
usb-creator (0.3.0)
virtualenv (15.1.0)
virtualenv-clone (0.2.6)
virtualenvwrapper (4.7.2)
wcwidth (0.1.7)
Werkzeug (0.12.2)
wheel (0.29.0)
widgetsnbextension (2.0.0)
xdiagnose (3.8.4.1)
xkit (0.0.0)
XlsxWriter (0.7.3)
zgitignore (0.7.1)
which tensorboard
/usr/local/bin/tensorboard



md5-0ead468e90209d9e6209a5f999bcbf0f



python -c 'import tensorboard.version; print(tensorboard.version.VERSION)'
Traceback (most recent call last):
  File "<string>", line 1, in <module>
ImportError: No module named tensorboard.version

Please pip install tensorflow-tensorboard==0.1.4, and you should be good. (You upgraded your TensorFlow, but are still using the old version 0.1.2 of TensorBoard.)

worked nicely, Thanks

Was this page helpful?
0 / 5 - 0 ratings