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Update TensorBoard readme with info on exporting data.

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Dan Mané 2016-02-25 16:44:09 -08:00 committed by TensorFlower Gardener
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@ -56,9 +56,26 @@ run2 and compare the two for you. In general, TensorBoard will recursively
search the logdir provided, looking for subdirectories that contain TensorFlow
event data.
### Exporting Data from TensorBoard
If you'd like to export data to visualize elsewhere (e.g. iPython Notebook),
that's possible too. You can directly depend on the underlying classes that
TensorBoard uses for loading data: `python/summary/event_accumulator.py` (for
loading data from a single run) or `python/summary/event_multiplexer.py` (for
loading data from multiple runs, and keeping it organized). These classes load
groups of event files, discard data that was "orphaned" by TensorFlow crashes,
and organize the data by tag.
As another option, there is a script
(tensorboard/scripts/serialize_tensorboard.py) which will load a logdir just
like TensorBoard does, but write all of the data out to disk as json instead of
starting a server. This script is setup to make "fake TensorBoard backends" for
testing, so it is a bit rough around the edges.
# Architecture
TensorBoard consists of a Python backend (tensorboard/backend/) and a Typescript/Polymer/D3 frontend (tensorboard/lib/, tensorboard/components).
TensorBoard consists of a Python backend (tensorboard/backend/) and a
Typescript/Polymer/D3 frontend (tensorboard/lib/, tensorboard/components).
# TensorBoard Development Instructions