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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[ReinforcedMan]

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:

• In Chrome:

Refused to execute script from ‘http://localhost:16838/index.js’ because its MIME type (‘text/plain’) is not executable, and strict MIME type checking is enabled.

• In Firefox:

The resource from “http://localhost:16838/index.js” was blocked due to MIME type (“text/plain”) mismatch (X-Content-Type-Options: nosniff)

The error was fixed by switching back to tensorboard 2.0.0.

pip uninstall tensorboard
pip install tensorboard==2.0.0

[GuilhermeRossato]

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:

python -c "import mimetypes; print(list(mimetypes.guess_type('index.js')))"

A correct output would be ['application/javascript', None], if you don’t see that, proceed to fix:

mimetypes is usually found at C:\python38\Lib\mimetypes.py, there’s a method guess_type at line 97 (may change depending on your version)

After the comment, add these lines at the start of the function (lines 116 and 117):

        if (isinstance(url, str) and url[-3:] == '.js'):
            return 'application/javascript', None

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.