Time axis on Time Series-Pane reads walltime incorrect

[Talon24]

Environment information

Diagnostics

Diagnostics output

--- check: autoidentify
INFO: diagnose_tensorboard.py version 5e810a97d96ec99b9b6b596476f2883baa7c22b6

--- check: general
INFO: sys.version_info: sys.version_info(major=3, minor=8, micro=5, releaselevel='final', serial=0)
INFO: os.name: nt
INFO: os.uname(): N/A
INFO: sys.getwindowsversion(): sys.getwindowsversion(major=10, minor=0, build=19041, platform=2, service_pack='')

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

--- check: installed_packages
INFO: installed: tensorboard==2.4.0
WARNING: no installation among: ['tensorflow', 'tensorflow-gpu', 'tf-nightly', 'tf-nightly-2.0-preview', 'tf-nightly-gpu', 'tf-nightly-gpu-2.0-preview']
WARNING: no installation among: ['tensorflow-estimator', 'tensorflow-estimator-2.0-preview', 'tf-estimator-nightly']

--- check: tensorboard_python_version
INFO: tensorboard.version.VERSION: '2.4.0'

--- check: tensorflow_python_version
Traceback (most recent call last):
  File "C:\Users\Talon\PycharmProjects\kpis_project\diagnose_tensorboard.py", line 492, in main
    suggestions.extend(check())
  File "C:\Users\Talon\PycharmProjects\kpis_project\diagnose_tensorboard.py", line 75, in wrapper
    result = fn()
  File "C:\Users\Talon\PycharmProjects\kpis_project\diagnose_tensorboard.py", line 275, in tensorflow_python_version
    import tensorflow as tf
ModuleNotFoundError: No module named 'tensorflow'

--- check: tensorboard_binary_path
INFO: which tensorboard: b'G:\\Programme\\anaconda3\\Scripts\\tensorboard.exe\r\nC:\\Users\\Talon\\AppData\\Local\\Programs\\Python\\Python38-32\\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(): '---------------------'

--- check: stat_tensorboardinfo
INFO: directory: C:\Users\Talon\AppData\Local\Temp\.tensorboard-info
INFO: os.stat(...): os.stat_result(st_mode=16895, st_ino=5910974512248343, st_dev=2521688629, st_nlink=1, st_uid=0, st_gid=0, st_size=4096, st_atime=1610373192, st_mtime=1610373192, st_ctime=1610228353)
INFO: mode: 0o40777

--- check: source_trees_without_genfiles
INFO: tensorboard_roots (1): ['C:\\Users\\Talon\\AppData\\Local\\Programs\\Python\\Python38-32\\lib\\site-packages']; bad_roots (0): []

--- check: full_pip_freeze
INFO: pip freeze --all:
absl-py==0.11.0

alabaster==0.7.12

array-to-latex==0.82

astroid==2.3.2

astropy==4.0.1.post1

atomicwrites==1.3.0

attrs==19.3.0

autopep8==1.5

Babel==2.8.0

backcall==0.1.0

bcrypt==3.1.7

beautifulsoup4==4.8.1

bleach==3.1.4

browser-cookie3==0.11.1

bs4==0.0.1

cachetools==4.2.0

certifi==2019.9.11

cffi==1.13.2

cfgv==3.2.0

chardet==3.0.4

ClauseWizard==1.0.4

Click==7.0

clipboard==0.0.4

cloudpickle==1.3.0

colorama==0.4.3

colored==1.4.2

comtypes==1.1.7

coverage==5.3.1

cryptography==2.8

cycler==0.10.0

decorator==4.4.2

defusedxml==0.6.0

deprecation==2.1.0

diff-match-patch==20181111

docopt==0.6.2

docutils==0.16

entrypoints==0.3

eyed3==0.9.6

filelock==3.0.12

filetype==1.0.7

filterpy==1.4.5

flake8==3.7.9

flake8-docstrings==1.5.0

Flask==1.1.1

future==0.18.2

Gooey==1.0.4.0.0.0

google-api-core==1.24.1

google-api-python-client==1.12.8

google-auth==1.24.0

google-auth-httplib2==0.0.4

google-auth-oauthlib==0.4.2

googleapis-common-protos==1.52.0

grpcio==1.34.0

helpdev==0.6.10

httplib2==0.18.1

identify==1.5.6

idna==2.8

imageio==2.6.1

imagesize==1.2.0

importlib-metadata==0.23

inputs==0.5

intervaltree==3.0.2

ipdb==0.12.2

ipykernel==5.2.1

ipython==7.13.0

ipython-genutils==0.2.0

ipywidgets==7.5.1

iso8601==0.1.12

isort==4.3.21

itsdangerous==1.1.0

jedi==0.15.2

Jinja2==2.11.2

jira==2.0.0

joblib==0.14.1

json5==0.9.5

jsonschema==3.2.0

jupyter==1.0.0

jupyter-client==6.1.3

jupyter-console==6.1.0

jupyter-contrib-core==0.3.3

jupyter-contrib-nbextensions==0.5.1

jupyter-core==4.6.3

jupyter-highlight-selected-word==0.2.0

jupyter-latex-envs==1.4.6

jupyter-nbextensions-configurator==0.4.1

jupyterlab==2.2.0

jupyterlab-server==1.2.0

jupyterthemes==0.20.0

keyring==21.1.0

kiwisolver==1.1.0

lazy-object-proxy==1.4.3

lesscpy==0.14.0

loguru==0.5.3

lxml==4.4.2

lz4==3.0.2

Markdown==3.3.3

MarkupSafe==1.1.1

matplotlib==3.1.2

mccabe==0.6.1

mistune==0.8.4

more-itertools==7.2.0

mp3-tagger==1.0

mpmath==1.1.0

nbconvert==5.6.1

nbformat==5.0.6

networking==0.0.1

networkx==2.4

nodeenv==1.5.0

notebook==6.0.3

numexpr==2.7.1

numpy==1.18.1

numpydoc==0.9.2

oauthlib==3.1.0

opencv-python==4.4.0.42

packaging==20.3

pandas==0.25.3

pandocfilters==1.4.2

paramiko==2.7.1

parso==0.5.2

pathtools==0.1.2

pbkdf2==1.3

pbr==5.4.4

pexpect==4.8.0

pickleshare==0.7.5

pigar==0.10.0

Pillow==6.2.1

pip==20.2.4

pipenv==2020.11.15

pipreqs==0.4.10

plotly==4.9.0

pluggy==0.13.1

plumbum==1.6.9

ply==3.11

pre-commit==2.8.2

prometheus-client==0.7.1

prompt-toolkit==2.0.10

protobuf==3.14.0

psutil==5.6.7

psycopg2==2.8.5

ptyprocess==0.6.0

py==1.8.0

pyaes==1.6.1

pyasn1==0.4.8

pyasn1-modules==0.2.8

pycaw==20181226

pycodestyle==2.5.0

pycparser==2.19

pycryptodome==3.9.4

pydocstyle==5.0.2

pyflakes==2.1.1

PyGetWindow==0.0.9

Pygments==2.6.1

PyJWT==1.7.1

pylint==2.4.3

PyNaCl==1.3.0

pyparsing==2.4.5

pyperclip==1.8.0

pypiwin32==223

PyQt5==5.12.3

PyQt5-sip==12.7.1

PyQtWebEngine==5.12.1

PyRect==0.1.4

pyrsistent==0.16.0

pyserial==3.4

pyshark==0.4.2.9

python-dateutil==2.8.1

python-jsonrpc-server==0.3.4

python-language-server==0.31.10

pytz==2019.3

PyWavelets==1.1.1

pywin32==227

pywin32-ctypes==0.2.0

pywinauto==0.6.8

pywinpty==0.5.7

PyYAML==5.3.1

pyzmq==19.0.0

QDarkStyle==2.8

QtAwesome==0.7.0

qtconsole==4.7.3

QtPy==1.9.0

ranger==0.10

requests==2.22.0

requests-oauthlib==1.3.0

requests-toolbelt==0.9.1

retrying==1.3.3

rope==0.16.0

rpyc==4.1.5

rsa==4.6

scikit-image==0.16.2

scikit-learn==0.23.2

scipy==1.4.1

seaborn==0.10.0

Send2Trash==1.5.0

setuptools==47.1.0

simpleeval==0.9.10

sip==5.1.1

six==1.14.0

sklearn==0.0

snakeviz==2.1.0

snowballstemmer==2.0.0

sortedcontainers==2.1.0

soupsieve==1.9.5

Sphinx==2.4.3

sphinxcontrib-applehelp==1.0.2

sphinxcontrib-devhelp==1.0.2

sphinxcontrib-htmlhelp==1.0.3

sphinxcontrib-jsmath==1.0.1

sphinxcontrib-qthelp==1.0.3

sphinxcontrib-serializinghtml==1.1.4

spyder==4.1.3

spyder-kernels==1.9.1

sympy==1.5.1

tensorboard==2.4.0

tensorboard-plugin-wit==1.7.0

terminado==0.8.3

terminaltables==3.1.0

testpath==0.4.4

threadpoolctl==2.1.0

toml==0.10.0

tornado==6.0.4

tox==3.20.1

tqdm==4.46.1

traitlets==4.3.3

translate==3.5.0

uritemplate==3.0.1

urllib3==1.25.6

urlpath==1.1.4

virtualenv==16.7.9

virtualenv-clone==0.5.4

watchdog==0.10.2

wcwidth==0.1.9

webencodings==0.5.1

Werkzeug==0.16.0

wheel==0.36.2

widgetsnbextension==3.5.1

win32-setctime==1.0.3

wrapt==1.11.2

wxPython==4.0.7

yapf==0.29.0

yarg==0.1.9

zipp==0.6.0

Time Series - Pane:

Scalars - Pane

Issue description

On the Time Series - Pane, the x-axis with a time scale is wrong, it shows a date in 1970.
In the tooltip, the date is correct, and on the Scalar-pane, both is correct.

I have set the horizontal axis - option to Wall, and my data is written by writer.add_scalar()

It seems that on the x-axis wants to take a millisecond-timestamp, but gets a regular timestamp; When i multiply my timestamp by 1000, the axis on that pane is correct, but not the tooltip or the other pane.

Reproduction

import datetime
from torch.utils.tensorboard import SummaryWriter


writer = SummaryWriter("runs/test")
now =  datetime.datetime.now()
for num in range(100):
    time = now + datetime.timedelta(days=num)
    writer.add_scalar('Test/test', num, num, walltime=time.timestamp())

See how this stretches over some months in the current year as expected on the Scalars pane, but only 2 hours of 1970 on the Time Series pane

[wchargin]

Hi @Talon24! Thanks for the report. I can reproduce this; it’s a
standard seconds/milliseconds mixup. Will send out a patch shortly.