This procedure can be used to manually display TensorBoard or to start and stop a TensorBoard server. TensorBoard is a visualization toolkit for TensorFlow. It reports key metrics associated with training.

This routine is part of ENVI Deep Learning, which requires a separate license and installation.


; Start the application
e = ENVI()
; Start a TensorBoard server and display in 
; the system's default web browser


ENVITensorBoard [, Keywords=value]






ERROR (optional)

Set this keyword to a named variable that will contain any error message issued during execution of this routine. If no error occurs, the ERROR variable will be set to a null string (''). If an error occurs and the routine is a function, then the function result will be undefined.

When this keyword is not set and an error occurs, ENVI returns to the caller and execution halts. In this case, the error message is contained within !ERROR_STATE and can be caught using IDL's CATCH routine. See IDL Help for more information on !ERROR_STATE and CATCH.

See the Manage Errors topic in ENVI Help for more information on error handling.


Set this keyword to display TensorBoard in the system's default web browser. Use the START keyword to start the server first for the browser to work as expected.


Set this keyword to display TensorBoard in a dialog. This is the same dialog that is displayed when selecting Training Metrics > Show Training Metrics from the Deep Learning Guide Map menu bar. It allows you to manage and view previous training runs.

START (optional)

Set this keyword to start the TensorBoard server.

STOP (optional)

Set this keyword to stop the TensorBoard server.

Version History

Deep Learning 1.1


See Also

TrainTensorFlowPixelModel Task, View Training Metrics