tensorflow - How do display different runs in TensorBoard?

Question

TensorBoard seems to have a feature to display multiple different runs and toggle them.

How can I make multiple runs show up here and how can assign a name to them to differentiate them?

Answer 1

In addition to TensorBoard scanning subdirectories (so you can pass a directory containing the directories with your runs), you can also pass multiple directories to TensorBoard explicitly and give custom names (example taken from the --help output):

tensorboard --logdir=name1:/path/to/logs/1,name2:/path/to/logs/2

More information can be found at the TensorBoard documentation.

In recent versions of TensorBoard, aliasing this way requires a different argument, however its use is discouraged (quote from current documentation on github - linked above):

Logdir & Logdir_spec (Legacy Mode)

You may also pass a comma separated list of log directories, and TensorBoard will watch each directory. You can also assign names to individual log directories by putting a colon between the name and the path, as in

tensorboard --logdir_spec name1:/path/to/logs/1,name2:/path/to/logs/2

This flag (--logdir_spec) is discouraged and can usually be avoided. TensorBoard walks log directories recursively; for finer-grained control, prefer using a symlink tree. Some features may not work when using --logdir_spec instead of --logdir.