OSError: [Errno 22] Invalid argument
See original GitHub issueWhen I updated tensorboard from 1.12 to 1.13.1(because of svg export problem) and updated numpy to 1.16.2, I found my tensorboard didn’s work. I reinstalled tensorflow and tensorboard but it still didn’t work. My system: Win7, python version:3.6.5(in Anaconda3). Error code:
$ tensorboard --logdir=.
TensorBoard 1.13.1 at http://Myname:6006 (Press CTRL+C to quit)
Traceback (most recent call last):
File "f:\anaconda3\lib\runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "f:\anaconda3\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "F:\Anaconda3\Scripts\tensorboard.exe\__main__.py", line 9, in <module>
File "f:\anaconda3\lib\site-packages\tensorboard\main.py", line 57, in run_main
app.run(tensorboard.main, flags_parser=tensorboard.configure)
File "f:\anaconda3\lib\site-packages\absl\app.py", line 300, in run
_run_main(main, args)
File "f:\anaconda3\lib\site-packages\absl\app.py", line 251, in _run_main
sys.exit(main(argv))
File "f:\anaconda3\lib\site-packages\tensorboard\program.py", line 228, in main
self._register_info(server)
File "f:\anaconda3\lib\site-packages\tensorboard\program.py", line 274, in _register_info
manager.write_info_file(info)
File "f:\anaconda3\lib\site-packages\tensorboard\manager.py", line 269, in write_info_file
payload = "%s\n" % _info_to_string(tensorboard_info)
File "f:\anaconda3\lib\site-packages\tensorboard\manager.py", line 129, in _info_to_string
for k in _TENSORBOARD_INFO_FIELDS
File "f:\anaconda3\lib\site-packages\tensorboard\manager.py", line 129, in <dictcomp>
for k in _TENSORBOARD_INFO_FIELDS
File "f:\anaconda3\lib\site-packages\tensorboard\manager.py", line 51, in <lambda>
(dt - datetime.datetime.fromtimestamp(0)).total_seconds()),
OSError: [Errno 22] Invalid argument
Does anyone have same issue or any idea how to solve it?
Issue Analytics
- State:
- Created 5 years ago
- Reactions:3
- Comments:19 (8 by maintainers)
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@deva-gopalani:
pip install tensorboard==1.12.2Given the number of people who have commented in this thread, I do think that we should release a patch release of TensorBoard to work around the bug in early versions of Python 3.6. Tracking this in #2017.