wassname/ray
1
0
Fork 0
mirror of https://github.com/wassname/ray.git synced 2026-08-11 11:24:51 +08:00
Code Issues Packages Projects Releases Wiki Activity

[docs] docs for running Tensorboard without sudo (#5015)

Browse Source 
* Instructions for running Tensorboard without sudo

When we run Tensorboard to visualize the results of Ray outputs on multi-user clusters where we don't have sudo access, such as RISE clusters, a few commands need to first be run to make sure tensorboard can edit the tmp directory. This is a pretty common usecase so I figured we may as well put it in the documentation for Tune.

* Update tune-usage.rst
This commit is contained in:
Ashwinee Panda
2019-06-24 11:26:53 -07:00
committed by Richard Liaw
parent e33d0eac68
commit 11ccf66346
1 changed files with 6 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files
doc/source/tune-usage.rst
+6
View File
@@ -355,6 +355,12 @@ Then, after you run a experiment, you can visualize your experiment with TensorB
$ tensorboard --logdir=~/ray_results/my_experiment
If you are running Ray on a remote multi-user cluster where you do not have sudo access, you can run the following commands to make sure tensorboard is able to write to the tmp directory:
.. code-block:: bash
$ export TMPDIR=/tmp/$USER; mkdir -p $TMPDIR; tensorboard --logdir=~/ray_results
.. image:: ray-tune-tensorboard.png
To use rllab's VisKit (you may have to install some dependencies), run: