This guide explains how to use TensorBoard within Gradient Notebooks.
Introduction to TensorBoard
TensorBoard is a visualization toolkit from TensorFlow. It is useful for a variety of applications including visualizing metrics and histograms, displaying images, and more.
To get started with TensorBoard, we'll need to run a command in the terminal and then access a special URL.
How to configure a TensorBoard in Gradient Notebooks
To run TensorBoard in a notebook, first make sure that the notebook has TensorBoard installed.
Next, open a notebook terminal and run the following command:
tensorboard --logdir . --bind_all
If needed, the
--logdir path may be changed to a different value.
The TensorBoard is now available at the following URL:
NOTEBOOKID may be found on the notebook list view in the Gradient console.
CLUSTERID value is
clg07azjl. Private clusters will have a
CLUSTERID on the clusters page.