tensorflow 每次运行发现多个图形事件

Question

我正在为在本地模式下运行的机器学习引擎实验加载张量板，并收到以下警告:

"Found more than one graph event per run, or there was a metagraph containing a graph_def, as well as one or more graph events.  Overwriting the graph with the newest event.
W0825 19:26:12.435613 Reloader event_accumulator.py:311] Found more than one metagraph event per run. Overwriting the metagraph with the newest event."

最初，我怀疑这是因为我没有清除我的 --logdir=$OUTPUT_PATH (正如其他帖子所建议的那样 - 但是，即使我执行 rm -rf $OUTPUT_PATH/* 对于本地火车，我仍然收到此错误。此错误是否表明我的图中存在更大的问题？

Answer 1

看起来您可能已经遇到过 this post ，但没有更多信息，这是我能提供的最好信息:

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).

您可能无意中在同一目录中写入了多个事件文件(例如训练和评估？)。

此外，请确保在 modes.EVAL 下返回适当的 tf.estimator.EstimatorSpec。来自 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)