log_tensorboard_events

verta.integrations.tensorflow.log_tensorboard_events(run, log_dir)

Function that collects and logs TensorBoard-compatible events to an Experiment Run.

This integration logs scalars that have been written as TensorFlow summaries.

This integration has been verified to work with TensorFlow >=1.14 and 2.X.

Parameters:

• run (ExperimentRun) – Experiment Run.

• log_dir (str) – Directory containing TensorBoard-compatible event files.

Examples

from verta.integrations.tensorflow import log_tensorboard_log_dir
run = client.set_experiment_run()
# log summary event files to `log_dir` during model operations
# see https://www.tensorflow.org/tensorboard/get_started
log_tensorboard_events(run, log_dir)