TensorBoard Toy
Trains is now ClearML
This documentation applies to the legacy Trains versions. For the latest documentation, see ClearML.
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:
tf.summary.histogram
tf.summary.scalar
tf.summary.text
tf.summary.image
When the script runs, it creates an experiment named tensorboard toy example
, which is associated with the examples
project.
Scalars
The tf.summary.scalar
output appears in RESULTS > SCALARS, along with the resource utilization plots, which are titled :monitor: machine.
Plots
The tf.summary.histogram
output appears in RESULTS > PLOTS.
Debug samples
Trains automatically tracks images and text output to TensorFlow. They appear in RESULTS > DEBUG SAMPLES.
Hyperparameters
Trains automatically logs TensorFlow DEFINEs. They appear in CONFIGURATIONS > HYPER PARAMETERS > TF_DEFINE.