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.

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Plots

The tf.summary.histogram output appears in RESULTS > PLOTS.

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Debug samples

Trains automatically tracks images and text output to TensorFlow. They appear in RESULTS > DEBUG SAMPLES.

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Hyperparameters

Trains automatically logs TensorFlow DEFINEs. They appear in CONFIGURATIONS > HYPER PARAMETERS > TF_DEFINE.

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