'tensorboard: error: invalid choice: 'code' (choose from 'serve', 'dev') - while trying to run tensorboard
When I try to run tensorboard using the command
(tensorflow) C:\Users\ANVAY>tensorboard --logdir=D:\Documents\Vs code python\my_log_dir
in the anaconda prompt after I have activated tensorflow, I get this error:
(tensorflow) C:\Users\ANVAY>tensorboard --logdir=D:\Documents\Vs code python\my_log_dir
2020-08-11 23:02:45.376116: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
usage: tensorboard [-h] [--helpfull] [--logdir PATH] [--logdir_spec PATH_SPEC]
[--host ADDR] [--bind_all] [--port PORT]
[--purge_orphaned_data BOOL] [--db URI] [--db_import]
[--inspect] [--version_tb] [--tag TAG] [--event_file PATH]
[--path_prefix PATH] [--window_title TEXT]
[--max_reload_threads COUNT] [--reload_interval SECONDS]
[--reload_task TYPE] [--reload_multifile BOOL]
[--reload_multifile_inactive_secs SECONDS]
[--generic_data TYPE]
[--samples_per_plugin SAMPLES_PER_PLUGIN]
[--debugger_data_server_grpc_port PORT]
[--debugger_port PORT]
{serve,dev} ...
tensorboard: error: invalid choice: 'code' (choose from 'serve', 'dev')
Package versions:
Tensor Flow Version: 2.1.0
Keras Version: 2.2.4-tf
Python 3.7.7 (default, May 6 2020, 11:45:54) [MSC v.1916 64 bit (AMD64)]
I have also tried using the following commands but get the same error
tensorboard --logdir D:\Documents\Vs code python\my_log_dir
python -m tensorboard.main --logdir=D:\Documents\Vs code python\my_log_dir
One thing that I noticed while trying to make this work is, in the file tensorboard-script.py under the directory C:\Users\ANVAY\miniconda3\envs\tensorflow\Scripts I get this
warning [ unresolved import 'tensorboard.main'Python(unresolved-import) ]
and also in the file main.py under the directoryC:\Users\ANVAY\miniconda3\envs\tensorflow\Lib\site-packages\tensorboard, I get a similar warning
I have no problems with training models and other stuff.
Solution 1:[1]
From Comments
The problem is the spaces in the path, try with --logdir="D:\Documents\Vs code python\my_log_dir"(paraphrased from Dr. Snoopy)
Solution 2:[2]
I got this error when I entered the argument as --log-dir instead of --logdir.
Solution 3:[3]
For me is running but passing the tensorflow command as bash argument.
I report here the Kubernetes Pod spec that can be used to extract the command:
containers:
- args:
# - '--host 0.0.0.0'
# - '--logdir=/tensorboard_logs/'
- '-c'
- '/usr/local/bin/tensorboard --host 0.0.0.0 --logdir=/tensorboard_logs/'
command:
# - /usr/local/bin/tensorboard
- bash
The commented lines are the original ones not working.
Solution 4:[4]
%tensorboard --logdir="my_log_dir" --port=8892 Try this in jupyter notebook
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | |
| Solution 2 | craq |
| Solution 3 | Gian Luigi Romita |
| Solution 4 | Kishan Kumar |
