The tensorboard_toy.py example demonstrates Trains automatic logging of TensorBoard scalars, histograms, images, and text, as well as all other console output and TensorFlow DEFINES. It uses
tf.summary.create_file_writer with the following:
When the script runs, it creates an experiment named
tensorboard toy example, which is associated with the
tf.summary.scalar output appears in RESULTS > SCALARS, along with the resource utilization plots, which are titled :monitor: machine.
tf.summary.histogram output appears in RESULTS > PLOTS.
Trains automatically tracks images and text output to TensorFlow. They appear in RESULTS > DEBUG SAMPLES.
Trains automatically logs TensorFlow DEFINEs. They appear in CONFIGURATIONS > HYPER PARAMETERS > TF_DEFINE.