o ?e @sPdZddlmZddlmZddlmZGdddeZedgdd d Z d S) zHProvides a method for reading events from an event file via an iterator.) event_pb2) tf_record) tf_exportc@s,eZdZdZddZddZddZeZdS) _SummaryIteratorz2Yields `Event` protocol buffers from a given path.cCst||_dSN)rZtf_record_iterator_tf_record_iterator)selfpathr k/home/www/facesmatcher.com/pyenv/lib/python3.10/site-packages/tensorflow/python/summary/summary_iterator.py__init__sz_SummaryIterator.__init__cCs|Srr )rr r r __iter__sz_SummaryIterator.__iter__cCst|j}tj|Sr)nextrrEventZ FromString)rrr r r __next__ s  z_SummaryIterator.__next__N)__name__ __module__ __qualname____doc__r r rrr r r r rs rztrain.summary_iterator)v1cCst|S)aReturns a iterator for reading `Event` protocol buffers from an event file. You can use this function to read events written to an event file. It returns a Python iterator that yields `Event` protocol buffers. Example: Print the contents of an events file. ```python for e in tf.compat.v1.train.summary_iterator(path to events file): print(e) ``` Example: Print selected summary values. ```python # This example supposes that the events file contains summaries with a # summary value tag 'loss'. These could have been added by calling # `add_summary()`, passing the output of a scalar summary op created with # with: `tf.compat.v1.summary.scalar('loss', loss_tensor)`. for e in tf.compat.v1.train.summary_iterator(path to events file): for v in e.summary.value: if v.tag == 'loss': print(tf.make_ndarray(v.tensor)) ``` Example: Continuously check for new summary values. ```python summaries = tf.compat.v1.train.summary_iterator(path to events file) while True: for e in summaries: for v in e.summary.value: if v.tag == 'loss': print(tf.make_ndarray(v.tensor)) # Wait for a bit before checking the file for any new events time.sleep(wait time) ``` See the protocol buffer definitions of [Event](https://www.tensorflow.org/code/tensorflow/core/util/event.proto) and [Summary](https://www.tensorflow.org/code/tensorflow/core/framework/summary.proto) for more information about their attributes. Args: path: The path to an event file created by a `SummaryWriter`. Returns: A iterator that yields `Event` protocol buffers )r)r r r r summary_iterator's4rN) rZtensorflow.core.utilrZtensorflow.python.lib.iorZ tensorflow.python.util.tf_exportrobjectrrr r r r s