How can I run Tensorboard on a remote server

Question

I m new to Tensorflow and would greatly benefit from some visualizations of what I m doing  I understand that Tensorboard is a useful visualization tool  but how do I run it on my remote Ubuntu machine

User · Answer

Find your local external IP by googling  whats my ip  or entering this command  wget http   ipinfo io ip -qO - Determine your remote external IP   This is probably what comes after your username when ssh-ing into the remote server   You can also wget http   ipinfo io ip -qO - again from there too  Secure your remote server traffic to just accept your local external IP address Run Tensorboard   Note the port it defaults to  6006 Enter your remote external IP address into your browser  followed by the port  123 123 12 32 6006   If your remote server is open to traffic from your local IP address  you should be able to see your remote Tensorboard   Warning  if all internet traffic can access your system  if you haven t specified a single IP address that can access it   anyone may be able to view your TensorBoard results and runaway with creating SkyNet themselves

User · Answer

This is not a proper answer but a troubleshooter  hopefully helps other less seasoned networkers like me   In my case  firefox ubuntu16  the browser was connecting  but showing a blank page  with the tensorboard logo on the tab   and no log activity at all was shown  I still don t know what could be the reason for that  didn t look much into it but if anybody knows please let know    but I solved it switching to ubuntu s default browser  Here the exact steps  pretty much the same as in  Olivier Moindrot s answer    On the server  start tensorboard  tensorboard --logdir   --host localhost --port 6006 On the client  open the ssh tunnel ssh -p 23  lt USER gt   lt SERVER gt  -N -f -L localhost 16006 localhost 6006 Open ubuntu s Browser and visit localhost 16006  The tensorboard page should load without much delay       To check that the SSH tunnel is effectively working  a simple echo server like this python script can help    Put the script into an  lt ECHO gt  py file in the server and run it with python  lt ECHO gt  py  Now the server will have the echo script listening on 0 0 0 0 5555  On the client  open the ssh tunnel ssh -p  lt SSH PORT gt   lt USER gt   lt SERVER gt  -N -f -L localhost 12345 localhost 5555 On the client  in the same terminal used to open the tunnel  step 2    issuing telnet localhost 12345 will connect to the echo script running in the server  Typing hello and pressing enter should print hello back  If that is the case  your SSH tunnel is working  This was my case  and lead me to the conclusion that the problem involved the browser  Trying to connect from a different terminal caused the terminal to freeze    As I said  hope it helps  Cheers  Andres

User · Answer

For anyone who must use the ssh keys  for a corporate server    Just add -i   ssh id rsa at the end     ssh -N -f -L localhost 8211 localhost 6007 myname servername -i   ssh id rsa

User · Answer

While running the tensorboard give one more option --host ip of your system and then you can access it from other system using http   ip of your host system 6006

User · Answer

You have to create a ssh connection using port forwarding   ssh -L 16006 127 0 0 1 6006 user host   Then you run the tensorboard command   tensorboard --logdir  path to logs   Then you can easily access the tensorboard in your browser under   localhost 16006

User · Answer

Another option if you can t get it working for some reason is to simply mount a logdir directory on your filesystem with sshfs   sshfs user host  home user project summary logs   summary logs  and then run Tensorboard locally

User · Answer

You can directly run the following command on terminal of your remote server to run tensorboard   tensorboard --logdir  tf log directory path  --host  0 0 0 0  --port 6006   Or you can also start the tensorboard within your ipython notebook    load ext tensorboard  tensorboard --logdir  tf log directory path  --host  0 0 0 0  --port 6006

User · Answer

Here is what I do to avoid the issues of making the remote server accept your local external IP    when I ssh into the machine  I use the option -L to transfer the port 6006 of the remote server into the port 16006 of my machine  for instance    ssh -L 16006 127 0 0 1 6006 olivier my server ip    What it does is that everything on the port 6006 of the server  in 127 0 0 1 6006  will be forwarded to my machine on the port 16006      You can then launch tensorboard on the remote machine using a standard tensorboard --logdir log with the default 6006port On your local machine  go to http   127 0 0 1 16006 and enjoy your remote TensorBoard

User · Answer

--bind all option is useful     tensorboard --logdir runs --bind all   The port will be automatically selected from 6006 incrementally  6006  6007  6008

User · Answer

You don t need to do anything fancy  Just run   tensorboard --host 0 0 0 0  lt other args here gt    and connect with your server url and port  The --host 0 0 0 0 tells tensorflow to listen from connections on all IPv4 addresses on the local machine

User · Answer

Another approach is to use a reverse proxy  which allows you to view Tensorboard from any internet connected device without SSHing  This approach can make it far easier   tractable to view Tensorboard on mobile devices  for example    Steps   1  Download reverse proxy Ngrok on your remote machine hosting Tensorboard  See https   ngrok com download for instructions   5 minute setup    2  Run ngrok http 6006  assuming you re hosting Tensorboard on port 6006   3  Save the URL that ngrok outputs     4  Enter that into any browser to view TensorBoard     Special thanks to Sam Kirkiles

User · Answer

You can port-forward with another ssh command that need not be tied to how you are connecting to the server  as an alternative to the other answer   Thus  the ordering of the below steps is arbitrary   from your local machine  run ssh -N -f -L localhost 16006 localhost 6006  lt user remote gt   on the remote machine  run  tensorboard --logdir  lt path gt  --port 6006  Then  navigate to  in this example  http   localhost 16006 on your local machine     explanation of ssh command  -N   no remote commands -f   put ssh in the background -L  lt machine1 gt   lt portA gt   lt machine2 gt   lt portB gt    forward  lt machine1 gt   lt portA gt   local scope  to  lt machine2 gt   lt portB gt   remote scope

[tensorflow] How can I run Tensorboard on a remote server?

Examples related to tensorflow

Examples related to machine-learning

Examples related to data-visualization

Examples related to remote-access

Examples related to tensorboard