tf.contrib.framework.assign_from_checkpoint()

tf.contrib.framework.assign_from_checkpoint(model_path, var_list)

Creates an operation to assign specific variables from a checkpoint.

Args:
  • model_path: The full path to the model checkpoint. To get latest checkpoint use model_path = tf.train.latest_checkpoint(checkpoint_dir)
  • var_list: A list of Variable objects or a dictionary mapping names in the checkpoint to the correspoing variables to initialize. If empty or None, it would return no_op(), None.
Returns:

the restore_op and the feed_dict that need to be run to restore var_list.

Raises:
  • ValueError: If the checkpoint specified at model_path is missing one of the variables in var_list.
doc_TensorFlow
2016-10-14 13:04:45
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