tensorflow Found more than one graph event per run

Question

I am loading a tensorboard for my ml engine experiment that is running in local mode and got the following warning:

\"Found more than one graph event per ru         


        

Answer 1

It looks like you may have already come across this post, but without more information, it's the best information I can provide:

This is a known issue, TensorBoard doesn't like it when you write multiple event files from separate runs in the same directory. It will be fixed if you use a new subdirectory for every run (new hyperparameters = new subdirectory).

You may be inadvertently writing multiple event files in the same directory (e.g. training and eval?).

Also, be sure you are returning an appropriate tf.estimator.EstimatorSpec when in modes.EVAL. From the census sample:

if mode == Modes.EVAL:
  labels_one_hot = tf.one_hot(
      label_indices_vector,
      depth=label_values.shape[0],
      on_value=True,
      off_value=False,
      dtype=tf.bool
  )
  eval_metric_ops = {
      'accuracy': tf.metrics.accuracy(label_indices, predicted_indices),
      'auroc': tf.metrics.auc(labels_one_hot, probabilities)
  }
  return tf.estimator.EstimatorSpec(
      mode, loss=loss, eval_metric_ops=eval_metric_ops)