tensorboard: Blank Page in Browser (and other error)
When starting tensorboard I only get a blank white page. Tested on multiple browsers and scripts. I just updated to the new Tensorflow 2.0, yesterday with the older version it worked. If I mark the page it just shows 4 blue vertical lines. Inspecting the web page with chrome shows a lot of html code. Using VSCode, Win10 Chrome and Firefox.
I start tensorboard with any of these: tensorboard --logdir ./logs tensorboard --logdir ./logs --bind_all tensorboard --logdir ./logs --host localhost --port 8080
Results are the same.
strange other error
Also I get a strange error now with the new version if I take the official example and create the log_dir in the following way:
log_dir="logs/fit/" + datetime.datetime.now().strftime("%Y%m%d-%H%M%S")
It raises the error “tensorflow.python.framework.errors_impl.NotFoundError: Failed to create a directory: logs/fit/20200107-131107\train; No such file or directory [Op:CreateSummaryFileWriter]”
So I have to use os.path.join or just take no subdirectories.
Example file to reconstruct error
from datetime import datetime
import tensorflow as tf
mnist = tf.keras.datasets.mnist
(x_train, y_train),(x_test, y_test) = mnist.load_data()
def create_model():
return tf.keras.models.Sequential([
tf.keras.layers.Flatten(input_shape=(28, 28)),
tf.keras.layers.Dense(512, activation='relu'),
tf.keras.layers.Dropout(0.2),
tf.keras.layers.Dense(10, activation='softmax')
])
model = create_model()
model.compile(optimizer='adam',
loss='sparse_categorical_crossentropy',
metrics=['accuracy'])
log_dir= datetime.now().strftime("%Y%m%d-%H%M%S")
tensorboard_callback = tf.keras.callbacks.TensorBoard(log_dir=log_dir, histogram_freq=1)
model.fit(x=x_train,
y=y_train,
epochs=1,
validation_data=(x_test, y_test),
callbacks=[tensorboard_callback])
Diagnostics
Diagnostics output
--- check: autoidentify
INFO: diagnose_tensorboard.py version d515ab103e2b1cfcea2b096187741a0eeb8822ef
--- check: general
INFO: sys.version_info: sys.version_info(major=3, minor=6, micro=7, releaselevel='final', serial=0)
INFO: os.name: nt
INFO: os.uname(): N/A
INFO: sys.getwindowsversion(): sys.getwindowsversion(major=10, minor=0, build=17763, platform=2, service_pack='')
--- check: package_management
INFO: has conda-meta: False
INFO: $VIRTUAL_ENV: None
--- check: installed_packages
INFO: installed: tensorboard==2.1.0
INFO: installed: tensorflow==2.0.0
INFO: installed: tensorflow-estimator==2.0.1
--- check: tensorboard_python_version
INFO: tensorboard.version.VERSION: '2.1.0'
--- check: tensorflow_python_version
INFO: tensorflow.__version__: '2.0.0'
INFO: tensorflow.__git_version__: 'v2.0.0-rc2-26-g64c3d382ca'
--- check: tensorboard_binary_path
INFO: which tensorboard: b'C:\\Python3\\Scripts\\tensorboard.exe\r\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: 1024>
socket.AI_PASSIVE = <AddressInfo.AI_PASSIVE: 1>
Loopback flags: <AddressInfo.AI_ADDRCONFIG: 1024>
Loopback infos: [(<AddressFamily.AF_INET6: 23>, <SocketKind.SOCK_STREAM: 1>, 0, '', ('::1', 0, 0, 0)), (<AddressFamily.AF_INET: 2>, <SocketKind.SOCK_STREAM: 1>, 0, '', ('127.0.0.1', 0))]
Wildcard flags: <AddressInfo.AI_PASSIVE: 1>
Wildcard infos: [(<AddressFamily.AF_INET6: 23>, <SocketKind.SOCK_STREAM: 1>, 0, '', ('::', 0, 0, 0)), (<AddressFamily.AF_INET: 2>, <SocketKind.SOCK_STREAM: 1>, 0, '', ('0.0.0.0', 0))]
--- check: readable_fqdn
INFO: socket.getfqdn(): 'dnpc.ddns.lcl'
--- check: stat_tensorboardinfo
INFO: directory: C:\Users\Public\Documents\Wondershare\CreatorTemp\.tensorboard-info
INFO: os.stat(...): os.stat_result(st_mode=16895, st_ino=3096224744537609, st_dev=1926005927, st_nlink=1, st_uid=0, st_gid=0, st_size=0, st_atime=1578399251, st_mtime=1578399251, st_ctime=1578397643)
INFO: mode: 0o40777
--- check: source_trees_without_genfiles
INFO: tensorboard_roots (1): ['C:\\Python3\\lib\\site-packages']; bad_roots (0): []
--- check: full_pip_freeze
INFO: pip freeze --all:
absl-py==0.7.0
astor==0.7.1
attrs==19.1.0
backcall==0.1.0
bayespy==0.5.18
bleach==3.1.0
cachetools==4.0.0
certifi==2019.3.9
chardet==3.0.4
click==7.0
clickclick==1.2.2
colorama==0.4.1
connexion==1.1.15
cycler==0.10.0
Cython==0.29.11
decorator==4.3.2
defusedxml==0.5.0
dlib==19.17.0
entrypoints==0.3
flask==1.0.3
gast==0.2.2
gmplot==1.2.0
google-auth==1.10.0
google-auth-oauthlib==0.4.1
google-pasta==0.1.8
gpx-parser==0.0.4
grpcio==1.26.0
h5py==2.9.0
idna==2.8
imageio==2.5.0
importlib==1.0.4
inflection==0.3.1
ipykernel==5.1.0
ipython==7.3.0
ipython-genutils==0.2.0
ipywidgets==7.4.2
itsdangerous==1.1.0
jedi==0.13.3
Jinja2==2.10
joblib==0.13.2
jsonschema==3.0.1
jupyter==1.0.0
jupyter-client==5.2.4
jupyter-console==6.0.0
jupyter-core==4.4.0
Keras-Applications==1.0.8
Keras-Preprocessing==1.0.8
kiwisolver==1.0.1
Markdown==3.0.1
MarkupSafe==1.1.1
matplotlib==3.0.2
mistune==0.8.4
nbconvert==5.4.1
nbformat==4.4.0
networkx==2.2
notebook==5.7.4
numpy==1.16.1
oauthlib==3.1.0
openapi-spec-validator==0.2.7
opt-einsum==3.1.0
pandas==0.24.1
pandocfilters==1.4.2
parso==0.3.4
pickleshare==0.7.5
Pillow==6.0.0
pip==19.2.3
primo==1.0
prometheus-client==0.6.0
prompt-toolkit==2.0.9
protobuf==3.6.1
pyasn1==0.4.8
pyasn1-modules==0.2.7
Pygments==2.3.1
pykalman==0.9.5
pyparsing==2.3.1
PyQt5==5.12.1
PyQt5-sip==4.19.15
pyrsistent==0.14.11
python-dateutil==2.6.0
pytz==2018.9
pywinpty==0.5.5
pyyaml==5.1
pyzmq==18.0.1
qtconsole==4.4.3
requests==2.21.0
requests-oauthlib==1.3.0
rsa==4.0
scikit-learn==0.21.2
scipy==1.3.3
seaborn==0.9.0
Send2Trash==1.5.0
setuptools==44.0.0
six==1.12.0
sklearn==0.0
swagger-server==1.0.0
swagger-spec-validator==2.4.3
tensorboard==2.1.0
tensorflow==2.0.0
tensorflow-estimator==2.0.1
termcolor==1.1.0
terminado==0.8.1
testpath==0.4.2
tornado==6.0.1
traitlets==4.3.2
typing==3.6.2
urllib3==1.24.3
wcwidth==0.1.7
webencodings==0.5.1
Werkzeug==0.14.1
wheel==0.32.3
widgetsnbextension==3.4.2
wrapt==1.11.2
Next steps
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About this issue
- Original URL
- State: closed
- Created 4 years ago
- Reactions: 16
- Comments: 34 (10 by maintainers)
Reporting that I have the same error in the browser. Tensorflow 2.0.0, tensorboard 2.1.0, tested in both firefox and chrome on windows 10. The installation is fresh from yesterday. Errors:
The error was fixed by switching back to tensorboard 2.0.0.
I have a 10 days old windows instalation and this problem was plaguing me already, so I developed a temporary workaround for people coming here from searching all over the internet that doesn’t involve changing registry (which usually is a better solution, except on my case):
First, check if you have the problem by running cmd.exe and executing the following:
A correct output would be
['application/javascript', None], if you don’t see that, proceed to fix:mimetypesis usually found atC:\python38\Lib\mimetypes.py, there’s a methodguess_typeat line 97 (may change depending on your version)After the comment, add these lines at the start of the function (lines 116 and 117):
Then, run the console command again to check if it worked (it should print correctly).
Note: If you have tensorboard running while you fix it, you’ll need to restart the process (
tensorboard.exe) to clear its cache.This was enough for me to transform the 100% blank page to a fully functional page from tensorboard.
1st issue
Ok here are two screenshots. The console indeed shows an error. I googled it and it seems to be a problem that needs a fix in the registry, but I have the needed value missing, so I have to see what I do next. The blank tensorboard page:
The console output:

2nd issue
I tried this and it works now, thanks ! (It is still kinda a bug I would say)
Thank you all for your patience. We’ve gotten our nightlies rolling again.
Please try uninstalling
tensorflowandtensorboardand then installing the latesttf-nightly, which will pull in the latest TensorBoardtb-nightly. (Uninstalling first is necessary to prevent Pip from corrupting your installation; using the latesttf-nightlyis necessary because the latesttb-nightlydepends on nightly-only TensorFlow features.)On my Windows machine, this suffices to work around the problem.
I’ll leave this open for a bit; please let us know if this works for you or if it doesn’t. We’ll also consider publishing a patch release so that you don’t have to upgrade to the latest TensorFlow nightly.
The issue was fixed by downgrading to tensorboard 2.0!
My Registry at
Computer\HKEY_CLASSES_ROOT\.jshas a valueContent Typeset totext/plain. I suppose its about that value. Here is an image of all values there:I previously navigated to
Computer\HKEY_LOCAL_MACHINE\SOFTWARE\Classes\.jsbecause there supposedly should be such a value, but there wasn’t. So I created it and set it toapplication/javascriptand it didn’t solve the issue.I recently started having this issue with TensorBoard 2.7.0 in Safari. A blank screen appears and nothing I do seems to be fixing it.
The output requested from running the python command is: [‘application/javascript’, None]
Yea, same issue. Current workaround is downgrading to tensorboard-2.0.2. This is definitely an issue with the new release.
I faced the text/plain issue in tensorboard==2.1.1. I uninstalled it and installed tensorboard==2.0.0 and with tensorboard --logdir=.\logs everything is working fine. So the point is the issue is present in 2.1.1
My understanding is that HKCR is the preferred view because it shows a union of HKLM and some other registry paths, which is why I mentioned HKCR specifically in #3077 and #2771.
We’ve discussed this a bit internally and are probably willing to hack around this on our side, given that it breaks a substantial portion of users, even though the problem isn’t our fault.
I’ve filed #3120 to track this.
@stephanwlee
I do have the mimetype set to test/plain. However, if something like visual studio makes tensorboard unusable without changing the registry as suspected by @wchargin, I think it probably deserves a fix as the proportion of people using visual studio is non negligible.
It works with tensorboard 2.0.0, so a fix could probably be found.
This looks like the same issue as this one: https://github.com/tensorflow/tensorboard/issues/3077. More context here: https://github.com/tensorflow/tensorboard/issues/2771
Can you please check the registry and make sure mimetype for JavaScript is not set to plaintext?