View source on GitHub |
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(tf.make_ndarray(v.tensor))
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(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 and Summary 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
|