A string that identifies how to handle input
pipelines that depend on external state. Possible values are
'ignore': The external state is silently ignored.
'warn': The external state is ignored, logging a warning.
'fail': The operation fails upon encountering external state.
By default we set it to 'fail'.
Returns
A SaveableObject for saving/restoring iterator state using Saver.
Raises
ValueError
If iterator does not support checkpointing.
ValueError
If external_state_policy is not one of 'warn', 'ignore' or
'fail'.
For example:
withtf.Graph().as_default():ds=tf.data.Dataset.range(10)iterator=ds.make_initializable_iterator()# Build the iterator SaveableObject.saveable_obj=tf.data.experimental.make_saveable_from_iterator(iterator)# Add the SaveableObject to the SAVEABLE_OBJECTS collection so# it can be automatically saved using Saver.tf.compat.v1.add_to_collection(tf.GraphKeys.SAVEABLE_OBJECTS,saveable_obj)saver=tf.compat.v1.train.Saver()whilecontinue_training:...Performtraining...ifshould_save_checkpoint:saver.save()