How to kill tensorboard with Tensorflow2 (jupyter, Win)
Question:
sorry for the noob question, but how do I kill the Tensorflow PID?
It says:
Reusing TensorBoard on port 6006 (pid 5128), started 4 days, 18:03:12 ago. (Use '!kill 5128' to kill it.)
But I can not find any PID 5128 in the windows taks manager. Using ‘!kill 5128’ within jupyter the error returns that comand kill cannot be found. Using it in the Windows cmd or conda cmd does not work either.
Thanks for your help.
Answers:
In Windows cmd type tasklist | more It will display all the process running in the system and find tensorboard.exe 
You can kill the process using the process ID
taskkill /F /PID 20036
you can kill the process by its name
taskkill /IM "tensorboard.exe" /F
If you clear the contents of AppData/Local/Temp/.tensorboard-info, and delete your logs, you should be able to have a fresh start
I am using docker image. There was a case where the same error occurred even though the tensorboard process was already killed. In that case, if you are using the jupyterlab docker image, just delete the files in /tmp/tensorboard-info path.
sorry for the noob question, but how do I kill the Tensorflow PID?
It says:
Reusing TensorBoard on port 6006 (pid 5128), started 4 days, 18:03:12 ago. (Use '!kill 5128' to kill it.)
But I can not find any PID 5128 in the windows taks manager. Using ‘!kill 5128’ within jupyter the error returns that comand kill cannot be found. Using it in the Windows cmd or conda cmd does not work either.
Thanks for your help.
In Windows cmd type tasklist | more It will display all the process running in the system and find tensorboard.exe
You can kill the process using the process ID
taskkill /F /PID 20036
you can kill the process by its name
taskkill /IM "tensorboard.exe" /F
If you clear the contents of AppData/Local/Temp/.tensorboard-info, and delete your logs, you should be able to have a fresh start
I am using docker image. There was a case where the same error occurred even though the tensorboard process was already killed. In that case, if you are using the jupyterlab docker image, just delete the files in /tmp/tensorboard-info path.