data slow to display

Nobody has claimed this yet.

Consider Stack Overflow for getting support using TensorBoard—they have
a larger community with better searchability:

https://stackoverflow.com/questions/tagged/tensorboard

Do not use this template for for setup, installation, or configuration
issues. Instead, use the “installation problem” issue template:

https://github.com/tensorflow/tensorboard/issues/new?template=installation_problem.md

To report a problem with TensorBoard itself, please fill out the
remainder of this template.

Environment information (required)

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

❯ python diagnose_tensorboard.py

Diagnostics

Diagnostics output

--- check: autoidentify
INFO: diagnose_tensorboard.py version 393931f9685bd7e0f3898d7dcdf28819fef54c43

--- check: general
INFO: sys.version_info: sys.version_info(major=3, minor=7, micro=3, releaselevel='final', serial=0)
INFO: os.name: posix
INFO: os.uname(): posix.uname_result(sysname='Linux', nodename='rldl16', release='4.15.0-51-generic', version='#55-Ubuntu SMP Wed May 15 14:27:21 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: tensorboard==1.13.1
INFO: installed: tensorflow==1.13.1
INFO: installed: tensorflow-estimator==1.13.0

--- check: tensorboard_python_version
INFO: tensorboard.version.VERSION: '1.13.1'

--- check: tensorflow_python_version
INFO: tensorflow.__version__: '1.13.1'
INFO: tensorflow.__git_version__: "b'v1.13.0-rc2-5-g6612da8'"

--- check: tensorboard_binary_path
INFO: which tensorboard: b'/home/ethanbro/miniconda3/envs/ppo/bin/tensorboard\n'

--- check: readable_fqdn
INFO: socket.getfqdn(): 'rldl16.eecs.umich.edu'

--- check: stat_tensorboardinfo
INFO: directory: /tmp/.tensorboard-info
INFO: os.stat(...): os.stat_result(st_mode=16895, st_ino=98304031, st_dev=66308, st_nlink=2, st_uid=99550148, st_gid=99550148, st_size=12288, st_atime=1561408580, st_mtime=1562277928, st_ctime=1562278619)
INFO: mode: 0o40777

--- check: source_trees_without_genfiles
INFO: tensorboard_roots (1): ['/home/ethanbro/miniconda3/envs/ppo/lib/python3.7/site-packages']; bad_roots (0): []

--- check: full_pip_freeze
INFO: pip freeze --all:
absl-py==0.7.1
appdirs==1.4.3
astor==0.7.1
attrs==19.1.0
backcall==0.1.0
black==19.3b0
certifi==2019.6.16
cffi==1.12.3
Click==7.0
cloudpickle==1.2.1
decorator==4.4.0
future==0.17.1
gast==0.2.2
grpcio==1.16.1
gym==0.13.0
h5py==2.8.0
ipdb==0.12
ipython==7.5.0
ipython-genutils==0.2.0
isort==4.3.20
jedi==0.14.0
Keras-Applications==1.0.7
Keras-Preprocessing==1.0.9
-e git+git@github.com:lobachevzky/lab-notebook@6f4f075e9b8f24e795c211e7dd19f2542b68ef91#egg=lab_notebook
Markdown==2.6.11
mkl-fft==1.0.10
mkl-random==1.0.2
mock==3.0.5
numpy==1.16.4
-e git+git@github.com:lobachevzky/on-policy-curiosity.git@03bbc99f2566ab67ebbaf9ad31aba4aa7baa7ccb#egg=on_policy_curiosity
opencv-python==4.1.0.25
parso==0.5.0
pexpect==4.7.0
pickleshare==0.7.5
pip==19.1.1
prompt-toolkit==2.0.9
protobuf==3.6.1
ptyprocess==0.6.0
pycparser==2.19
pyglet==1.3.2
Pygments==2.4.2
-e git+git@github.com:lobachevzky/rl-utils@2708be03df630f7d7219af7b3fba7c87e085a7e1#egg=rl_utils
scipy==1.3.0
setuptools==41.0.1
six==1.12.0
tensorboard==1.13.1
tensorboardX==1.7
tensorflow==1.13.1
tensorflow-estimator==1.13.0
termcolor==1.1.0
toml==0.10.0
torch==1.1.0
tqdm==4.31.1
traitlets==4.3.2
wcwidth==0.1.7
Werkzeug==0.15.4
wheel==0.33.4
yapf==0.27.0

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): Chrome 75
Screenshot, if it’s a visual issue: NA

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)?

This issue is very similar to https://github.com/tensorflow/tensorboard/issues/80 I think. It takes about two minutes from the time I write to an event file to the time that the updated data displays in my browser. Is this what I should expect? Are there things I can do to improve performance?

Start by reviewing the reported TensorBoard 1.13.1 environment and running diagnose_tensorboard.py as requested in the issue. No source file, test, or concrete action item is identified; progress would require reproducing the delay and establishing whether the expected result is faster display of updated event-file data.

Written by the indexing model from the issue text.

Description

Environment information (required)

Diagnostics

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Issue description

Contributor guide

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data slow to display

Description

Environment information (required)

Diagnostics

Next steps

Issue description

Contributor guide

First steps

Research direction

Assessment

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