WandB automatically detects tfevents files and syncs them to cloud storage as they're written to. You will see a "Tensorboard" tab on the run page if a run contains a tfevents file. Opening this tab will launch a tensorboard instance.
classifier = tf.estimator.DNNClassifier( # ... model_dir=wandb.run.dir )
with tf.Session() as sess: # ... writer = tf.summary.FileWriter(wandb.run.dir, sess.graph)
Syncing Previous Tensorboard Runs
If you have existing experiments you would like to import into wandb, you can run
wandb sync log_dir where log_dir is a local directory containing a tfevents file.