To store a graph, create a
tf.summary.FileWriter
and pass the graph either via the constructor, or by calling its
add_graph()
method.
You may want to check out the
graph visualizer tutorial
.
Probable causes:
tf.train.Saver
and save your model periodically
by calling saver.save(session, LOG_DIR/model.ckpt, step)
.
Probable causes:
If you're new to using TensorBoard, and want to find out how to add data and set up your event files, check out the README and perhaps the TensorBoard tutorial .
If you think TensorBoard is configured properly, please see the section of the README devoted to missing data problems and consider filing an issue on GitHub.
Name | Smoothed | Value | Step | Time | Relative |
---|
[[item.suffix]]
|
[[item.device]]
|
Graph |
(* = expandable) |
|
Namespace* |
|
OpNode |
|
Unconnected series* |
|
Connected series* |
|
Constant |
|
Summary |
|
Dataflow edge |
|
Control dependency edge |
|
Reference edge |
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If you'd like to share your visualization with the world, follow these simple steps. See this tutorial for more.
Host tensors, metadata, sprite image, and bookmarks TSV files publicly on the web.
One option is using a github gist.
Checkpoint: | |
Metadata: |
Iteration: 0
For fast results, the data will be sampled down to [[getTsneSampleSizeText()]] points.
PCA is approximate.