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Returns a iterator for reading
Event protocol buffers from an event file.
tf.compat.v1.train.summary_iterator( path )
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.
for e in tf.compat.v1.train.summary_iterator(path to events file): print(e)
Example: Print selected summary values.
# 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(v.simple_value)
Example: Continuously check for new summary values.
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(v.simple_value) # Wait for a bit before checking the file for any new events time.sleep(wait time)
The path to an event file created by a
A iterator that yields