"ERROR: Timed out waiting for TensorBoard to start." on Jupyter

Environment information (required)

OS: Windows 10 Education 1903 Python version: 3.7.4 TensorFlow version: 2.0 TensorBoard version: 2.0 Jupyter version: jupyter 1.0.0 jupyter-client 5.2.4 jupyter-console 6.0.0 jupyter-core 4.4.0 jupyterlab 1.1.4 jupyterlab-server 1.0.0

Please run diagnose_tensorboard.py (link below) in the same environment from which you normally run TensorFlow/TensorBoard, and paste the output here:

Diagnostics

Diagnostics output

--- check: autoidentify
INFO: diagnose_tensorboard.py version 4725c70c7ed724e2d1b9ba5618d7c30b957ee8a4

--- check: general
INFO: sys.version_info: sys.version_info(major=3, minor=7, micro=4, releaselevel='final', serial=0)
INFO: os.name: nt
INFO: os.uname(): N/A
INFO: sys.getwindowsversion(): sys.getwindowsversion(major=10, minor=0, build=18362, platform=2, service_pack='')

--- check: package_management
INFO: has conda-meta: False
INFO: $VIRTUAL_ENV: None

--- check: installed_packages
INFO: installed: tensorboard==2.0.0
INFO: installed: tensorflow-gpu==2.0.0
INFO: installed: tensorflow-estimator==2.0.0

--- check: tensorboard_python_version
INFO: tensorboard.version.VERSION: '2.0.0'

--- 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:\\Python37\\Scripts\\tensorboard.exe\r\n'

--- check: readable_fqdn
INFO: socket.getfqdn(): 'GT62VR-7RD'

--- check: stat_tensorboardinfo
INFO: directory: C:\Users\otavi\AppData\Local\Temp\.tensorboard-info
INFO: os.stat(...): os.stat_result(st_mode=16895, st_ino=8444249301749551, st_dev=3098128582, st_nlink=1, st_uid=0, st_gid=0, st_size=0, st_atime=1570466520, st_mtime=1570466520, st_ctime=1570466517)
INFO: mode: 0o40777

--- check: source_trees_without_genfiles
INFO: tensorboard_roots (1): ['C:\\Python37\\lib\\site-packages']; bad_roots (0): []

--- check: full_pip_freeze
INFO: pip freeze --all:
absl-py==0.7.1

alembic==1.0.8

appdirs==1.4.3

astor==0.8.0

astroid==2.3.1

async-generator==1.10

atomicwrites==1.3.0

attrs==19.1.0

backcall==0.1.0

bleach==3.1.0

boto==2.49.0

boto3==1.9.220

botocore==1.12.220

certifi==2019.3.9

chardet==3.0.4

cloudpickle==0.8.0

colorama==0.4.1

colorclass==2.2.0

cycler==0.10.0

Cython==0.29.13

dask==1.1.4

decorator==4.3.2

defusedxml==0.5.0

doc8==0.8.0

docutils==0.15.2

entrypoints==0.3

gast==0.2.2

gensim==3.8.1

google-pasta==0.1.6

graphviz==0.8.4

grpcio==1.21.1

h5py==2.9.0

idna==2.6

imageio==2.5.0

importlib-metadata==0.23

intel-openmp==2019.0

ipykernel==5.1.0

ipython==7.5.0

ipython-genutils==0.2.0

ipywidgets==7.4.2

isort==4.3.15

jedi==0.15.1

Jinja2==2.10

jmespath==0.9.4

joblib==0.13.2

json5==0.8.4

jsonschema==3.0.1

jupyter==1.0.0

jupyter-client==5.2.4

jupyter-console==6.0.0

jupyter-core==4.4.0

jupyterlab==1.1.4

jupyterlab-server==1.0.0

jupyterthemes==0.20.0

Keras-Applications==1.0.8

Keras-Preprocessing==1.1.0

kiwisolver==1.0.1

lazy-object-proxy==1.4.2

lesscpy==0.13.0

lib==3.0.0

Mako==1.0.7

Markdown==3.1.1

MarkupSafe==1.1.1

matplotlib==3.1.1

mccabe==0.6.1

mistune==0.8.4

mkl==2019.0

mock==3.0.5

more-itertools==7.2.0

mpmath==1.1.0

mxnet-cu100mkl==1.5.0

nbconvert==5.4.1

nbformat==4.4.0

networkx==2.3

nose==1.3.7

notebook==5.7.8

numpy==1.16.5

opencv-python==4.1.1.26

opt-einsum==3.1.0

packaging==19.1

pamela==1.0.0

pandas==0.25.1

pandocfilters==1.4.2

parso==0.5.1

pbr==5.2.0

pickleshare==0.7.5

Pillow==6.2.0

pip==19.2.3

pip-autoremove==0.9.1

pip-check==2.5.2

pip-date==1.0.3

pipdeptree==0.13.2

pluggy==0.13.0

ply==3.11

prometheus-client==0.6.0

prompt-toolkit==2.0.9

protobuf==3.8.0

py==1.8.0

pycodestyle==2.5.0

pygame==1.9.4

Pygments==2.3.1

pylint==2.4.2

pyparsing==2.3.1

pyrsistent==0.14.11

pytest==5.2.0

python-dateutil==2.8.0

python-editor==1.0.4

python-oauth2==1.1.0

pytools==2019.1

pytz==2018.9

PyWavelets==1.0.2

pywinpty==0.5.5

pyzmq==18.0.1

qtconsole==4.4.3

requests==2.18.4

restructuredtext-lint==1.3.0

s3transfer==0.2.1

scikit-image==0.15.0

scikit-learn==0.21.3

scipy==1.3.1

seaborn==0.9.0

Send2Trash==1.5.0

setuptools==41.2.0

six==1.12.0

sklearn==0.0

smart-open==1.8.4

SQLAlchemy==1.3.9

stevedore==1.30.1

sympy==1.4

tensorboard==2.0.0

tensorflow-estimator==2.0.0

tensorflow-gpu==2.0.0

termcolor==1.1.0

terminado==0.8.1

terminaltables==3.1.0

testpath==0.4.2

toolz==0.9.0

torch==1.1.0

torchvision==0.3.0

tornado==6.0.3

traitlets==4.3.2

typed-ast==1.4.0

urllib3==1.22

wcwidth==0.1.7

webencodings==0.5.1

Werkzeug==0.15.4

wget==3.2

wheel==0.33.6

widgetsnbextension==3.4.2

wrapt==1.11.1

xgboost==0.90

xlrd==1.2.0

zipp==0.6.0

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.

For browser-related issues, please additionally specify:

• Browser type and version (e.g., Chrome 64.0.3282.140): Firefox Quantum 69.0.2 (64bit)
• Screenshot, if it’s a visual issue:

Issue description

Please describe the bug as clearly as possible. How can we reproduce the problem without additional resources (including external data files and proprietary Python modules)?

Just using the code cells below (similar to what is described at tensorflow.org)

import tensorflow, datetime, os
from tensorflow.keras import applications, datasets
from sklearn import model_selection

(x_train, y_train), (x_test, y_test) = datasets.cifar10.load_data()

x_train, x_validation, y_train, y_validation = model_selection.train_test_split(x_train, y_train, test_size=0.25, random_state=42)

mobilenet = applications.MobileNet(input_shape=x_train.shape[1:], pooling="avg", classes=10, include_top=False)

mobilenet.compile(tensorflow.optimizers.Adam(learning_rate=0.001), loss="sparse_categorical_crossentropy", metrics=["accuracy"])
log_dir = os.path.join("logs", datetime.datetime.now().strftime("%Y%m%d-%H%M%S"))
tensorboard_callback = tensorflow.keras.callbacks.TensorBoard(log_dir=log_dir, histogram_freq=1)
mobilenet.fit(x_train, y_train, batch_size=128, epochs=10, validation_data=(x_validation, y_validation), callbacks=[tensorboard_callback])

%load_ext tensorboard

%tensorboard --logdir logs

Gives the output:

But when I go to http://localhost:6006/ the TensorBoard instance is running as seen here:

And the process does exist as a subprocess of the Jupyter kernel instance:

But it’s not shown in the Jupyter interface.

[wchargin]

Sometimes this can happen if the TensorBoard process just takes more than 10 seconds to start. If you re-run the %tensorboard cell with the same arguments, it should find the existing TensorBoard and attach to it immediately. Does this work for you, or does it still give an error even when the TensorBoard process was running prior to running the cell?

[beijiguang94]

We think that we may have fixed this in latest nightlies (#4300). If you’re affected by this issue, could you please uninstall all copies of TensorBoard, then install tb-nightly—

pip uninstall -y tensorboard tb-nightly
pip install -U tb-nightly

—and see if this fixes the problem?

(You should run these commands from the same virtualenv that you use for Jupyter notebooks.)

Thanks. It did work for the error with Google Colab.