def testWriterInitAndClose(self):
logdir = self.get_temp_dir()
get_total = lambda: len(summary_test_util.events_from_logdir(logdir))
with summary_ops.always_record_summaries():
writer = summary_ops.create_file_writer(
logdir, max_queue=100, flush_millis=1000000)
self.assertEqual(1, get_total()) # file_version Event
# Calling init() again while writer is open has no effect
writer.init()
self.assertEqual(1, get_total())
try:
# Not using .as_default() to avoid implicit flush when exiting
writer.set_as_default()
summary_ops.scalar('one', 1.0, step=1)
self.assertEqual(1, get_total())
# Calling .close() should do an implicit flush
writer.close()
self.assertEqual(2, get_total())
# Calling init() on a closed writer should start a new file
time.sleep(1.1) # Ensure filename has a different timestamp
writer.init()
files = sorted(gfile.Glob(os.path.join(logdir, '*tfevents*')))
self.assertEqual(2, len(files))
get_total = lambda: len(summary_test_util.events_from_file(files[1]))
self.assertEqual(1, get_total()) # file_version Event
summary_ops.scalar('two', 2.0, step=2)
writer.close()
self.assertEqual(2, get_total())
finally:
# Clean up by resetting default writer
summary_ops.create_file_writer(None).set_as_default()
def testScalarSummaryNameScope(self):
"""Test record_summaries_every_n_global_steps and all_summaries()."""
with ops.Graph().as_default(), self.cached_session() as sess:
global_step = training_util.get_or_create_global_step()
global_step.initializer.run()
with ops.device('/cpu:0'):
step_increment = state_ops.assign_add(global_step, 1)
sess.run(step_increment) # Increment global step from 0 to 1
logdir = tempfile.mkdtemp()
with summary_ops.create_file_writer(logdir, max_queue=0,
name='t2').as_default():
with summary_ops.record_summaries_every_n_global_steps(2):
summary_ops.initialize()
with ops.name_scope('scope'):
summary_op = summary_ops.scalar('my_scalar', 2.0)
# Neither of these should produce a summary because
# global_step is 1 and "1 % 2 != 0"
sess.run(summary_ops.all_summary_ops())
sess.run(summary_op)
events = summary_test_util.events_from_logdir(logdir)
self.assertEqual(len(events), 1)
# Increment global step from 1 to 2 and check that the summary
# is now written
sess.run(step_increment)
sess.run(summary_ops.all_summary_ops())
events = summary_test_util.events_from_logdir(logdir)
self.assertEqual(len(events), 2)
self.assertEqual(events[1].summary.value[0].tag, 'scope/my_scalar')
def testWriterInitAndClose(self):
logdir = self.get_temp_dir()
with summary_ops.always_record_summaries():
writer = summary_ops.create_file_writer(
logdir, max_queue=100, flush_millis=1000000)
with writer.as_default():
summary_ops.scalar('one', 1.0, step=1)
with self.cached_session() as sess:
sess.run(summary_ops.summary_writer_initializer_op())
get_total = lambda: len(summary_test_util.events_from_logdir(logdir))
self.assertEqual(1, get_total()) # file_version Event
# Running init() again while writer is open has no effect
sess.run(writer.init())
self.assertEqual(1, get_total())
sess.run(summary_ops.all_summary_ops())
self.assertEqual(1, get_total())
# Running close() should do an implicit flush
sess.run(writer.close())
self.assertEqual(2, get_total())
# Running init() on a closed writer should start a new file
time.sleep(1.1) # Ensure filename has a different timestamp
sess.run(writer.init())
sess.run(summary_ops.all_summary_ops())
sess.run(writer.close())
files = sorted(gfile.Glob(os.path.join(logdir, '*tfevents*')))
self.assertEqual(2, len(files))
self.assertEqual(2, len(summary_test_util.events_from_file(files[1])))
def testSharedName(self):
logdir = self.get_temp_dir()
with summary_ops.always_record_summaries():
# Create with default shared name (should match logdir)
writer1 = summary_ops.create_file_writer(logdir)
with writer1.as_default():
summary_ops.scalar('one', 1.0, step=1)
# Create with explicit logdir shared name (should be same resource/file)
shared_name = 'logdir:' + logdir
writer2 = summary_ops.create_file_writer(logdir, name=shared_name)
with writer2.as_default():
summary_ops.scalar('two', 2.0, step=2)
# Create with different shared name (should be separate resource/file)
writer3 = summary_ops.create_file_writer(logdir, name='other')
with writer3.as_default():
summary_ops.scalar('three', 3.0, step=3)
with self.cached_session() as sess:
# Run init ops across writers sequentially to avoid race condition.
# TODO(nickfelt): fix race condition in resource manager lookup or create
sess.run(writer1.init())
sess.run(writer2.init())
time.sleep(1.1) # Ensure filename has a different timestamp
sess.run(writer3.init())
sess.run(summary_ops.all_summary_ops())
sess.run([writer1.flush(), writer2.flush(), writer3.flush()])
event_files = iter(sorted(gfile.Glob(os.path.join(logdir, '*tfevents*'))))
# First file has tags "one" and "two"
events = summary_test_util.events_from_file(next(event_files))
self.assertEqual('brain.Event:2', events[0].file_version)
tags = [e.summary.value[0].tag for e in events[1:]]
self.assertItemsEqual(['one', 'two'], tags)
# Second file has tag "three"
events = summary_test_util.events_from_file(next(event_files))
self.assertEqual('brain.Event:2', events[0].file_version)
tags = [e.summary.value[0].tag for e in events[1:]]
self.assertItemsEqual(['three'], tags)
# No more files
self.assertRaises(StopIteration, lambda: next(event_files))
def testSummaryName(self):
logdir = self.get_temp_dir()
writer = summary_ops.create_file_writer(logdir, max_queue=0)
with writer.as_default(), summary_ops.always_record_summaries():
summary_ops.scalar('scalar', 2.0, step=1)
with self.cached_session() as sess:
sess.run(summary_ops.summary_writer_initializer_op())
sess.run(summary_ops.all_summary_ops())
events = summary_test_util.events_from_logdir(logdir)
self.assertEqual(2, len(events))
self.assertEqual('scalar', events[1].summary.value[0].tag)
def testEagerMemory(self):
training_util.get_or_create_global_step()
logdir = self.get_temp_dir()
with summary_ops.create_file_writer(
logdir, max_queue=0,
name='t0').as_default(), summary_ops.always_record_summaries():
summary_ops.generic('tensor', 1, '')
summary_ops.scalar('scalar', 2.0)
summary_ops.histogram('histogram', [1.0])
summary_ops.image('image', [[[[1.0]]]])
summary_ops.audio('audio', [[1.0]], 1.0, 1)
def testSummaryGlobalStep(self):
step = training_util.get_or_create_global_step()
logdir = tempfile.mkdtemp()
with summary_ops.create_file_writer(
logdir, max_queue=0,
name='t2').as_default(), summary_ops.always_record_summaries():
summary_ops.scalar('scalar', 2.0, step=step)
events = summary_test_util.events_from_logdir(logdir)
self.assertEqual(len(events), 2)
self.assertEqual(events[1].summary.value[0].tag, 'scalar')
def testMaxQueue(self):
logs = tempfile.mkdtemp()
with summary_ops.create_file_writer(
logs, max_queue=1, flush_millis=999999,
name='lol').as_default(), summary_ops.always_record_summaries():
get_total = lambda: len(summary_test_util.events_from_logdir(logs))
# Note: First tf.compat.v1.Event is always file_version.
self.assertEqual(1, get_total())
summary_ops.scalar('scalar', 2.0, step=1)
self.assertEqual(1, get_total())
# Should flush after second summary since max_queue = 1
summary_ops.scalar('scalar', 2.0, step=2)
self.assertEqual(3, get_total())
def testSharedName(self):
logdir = self.get_temp_dir()
with summary_ops.always_record_summaries():
# Create with default shared name (should match logdir)
writer1 = summary_ops.create_file_writer(logdir)
with writer1.as_default():
summary_ops.scalar('one', 1.0, step=1)
summary_ops.flush()
# Create with explicit logdir shared name (should be same resource/file)
shared_name = 'logdir:' + logdir
writer2 = summary_ops.create_file_writer(logdir, name=shared_name)
with writer2.as_default():
summary_ops.scalar('two', 2.0, step=2)
summary_ops.flush()
# Create with different shared name (should be separate resource/file)
time.sleep(1.1) # Ensure filename has a different timestamp
writer3 = summary_ops.create_file_writer(logdir, name='other')
with writer3.as_default():
summary_ops.scalar('three', 3.0, step=3)
summary_ops.flush()
event_files = iter(sorted(gfile.Glob(os.path.join(logdir, '*tfevents*'))))
# First file has tags "one" and "two"
events = iter(summary_test_util.events_from_file(next(event_files)))
self.assertEqual('brain.Event:2', next(events).file_version)
self.assertEqual('one', next(events).summary.value[0].tag)
self.assertEqual('two', next(events).summary.value[0].tag)
self.assertRaises(StopIteration, lambda: next(events))
# Second file has tag "three"
events = iter(summary_test_util.events_from_file(next(event_files)))
self.assertEqual('brain.Event:2', next(events).file_version)
self.assertEqual('three', next(events).summary.value[0].tag)
self.assertRaises(StopIteration, lambda: next(events))
# No more files
self.assertRaises(StopIteration, lambda: next(event_files))
def testSummaryOps(self):
training_util.get_or_create_global_step()
logdir = tempfile.mkdtemp()
with summary_ops.create_file_writer(
logdir, max_queue=0,
name='t0').as_default(), summary_ops.always_record_summaries():
summary_ops.generic('tensor', 1, '')
summary_ops.scalar('scalar', 2.0)
summary_ops.histogram('histogram', [1.0])
summary_ops.image('image', [[[[1.0]]]])
summary_ops.audio('audio', [[1.0]], 1.0, 1)
# The working condition of the ops is tested in the C++ test so we just
# test here that we're calling them correctly.
self.assertTrue(gfile.Exists(logdir))
def testSummaryGlobalStep(self):
training_util.get_or_create_global_step()
logdir = self.get_temp_dir()
writer = summary_ops.create_file_writer(logdir, max_queue=0)
with writer.as_default(), summary_ops.always_record_summaries():
summary_ops.scalar('scalar', 2.0)
with self.cached_session() as sess:
sess.run(variables.global_variables_initializer())
sess.run(summary_ops.summary_writer_initializer_op())
step, _ = sess.run(
[training_util.get_global_step(), summary_ops.all_summary_ops()])
events = summary_test_util.events_from_logdir(logdir)
self.assertEqual(2, len(events))
self.assertEqual(step, events[1].step)
def testSummaryOps(self):
logdir = self.get_temp_dir()
writer = summary_ops.create_file_writer(logdir, max_queue=0)
with writer.as_default(), summary_ops.always_record_summaries():
summary_ops.generic('tensor', 1, step=1)
summary_ops.scalar('scalar', 2.0, step=1)
summary_ops.histogram('histogram', [1.0], step=1)
summary_ops.image('image', [[[[1.0]]]], step=1)
summary_ops.audio('audio', [[1.0]], 1.0, 1, step=1)
with self.cached_session() as sess:
sess.run(summary_ops.summary_writer_initializer_op())
sess.run(summary_ops.all_summary_ops())
# The working condition of the ops is tested in the C++ test so we just
# test here that we're calling them correctly.
self.assertTrue(gfile.Exists(logdir))
def testWriterFlush(self):
logdir = self.get_temp_dir()
with summary_ops.always_record_summaries():
writer = summary_ops.create_file_writer(
logdir, max_queue=100, flush_millis=1000000)
with writer.as_default():
summary_ops.scalar('one', 1.0, step=1)
with self.cached_session() as sess:
sess.run(summary_ops.summary_writer_initializer_op())
get_total = lambda: len(summary_test_util.events_from_logdir(logdir))
self.assertEqual(1, get_total()) # file_version Event
sess.run(summary_ops.all_summary_ops())
self.assertEqual(1, get_total())
sess.run(writer.flush())
self.assertEqual(2, get_total())
def testDefunSummarys(self):
training_util.get_or_create_global_step()
logdir = tempfile.mkdtemp()
with summary_ops.create_file_writer(
logdir, max_queue=0,
name='t1').as_default(), summary_ops.always_record_summaries():
@function.defun
def write():
summary_ops.scalar('scalar', 2.0)
write()
events = summary_test_util.events_from_logdir(logdir)
self.assertEqual(len(events), 2)
self.assertEqual(events[1].summary.value[0].simple_value, 2.0)
def testWriterFlush(self):
logdir = self.get_temp_dir()
get_total = lambda: len(summary_test_util.events_from_logdir(logdir))
with summary_ops.always_record_summaries():
writer = summary_ops.create_file_writer(
logdir, max_queue=100, flush_millis=1000000)
self.assertEqual(1, get_total()) # file_version Event
with writer.as_default():
summary_ops.scalar('one', 1.0, step=1)
self.assertEqual(1, get_total())
writer.flush()
self.assertEqual(2, get_total())
summary_ops.scalar('two', 2.0, step=2)
# Exiting the "as_default()" should do an implicit flush of the "two" tag
self.assertEqual(3, get_total())
def testMaxQueue(self):
logdir = self.get_temp_dir()
writer = summary_ops.create_file_writer(
logdir, max_queue=1, flush_millis=999999)
with writer.as_default(), summary_ops.always_record_summaries():
summary_ops.scalar('scalar', 2.0, step=1)
with self.cached_session() as sess:
sess.run(summary_ops.summary_writer_initializer_op())
get_total = lambda: len(summary_test_util.events_from_logdir(logdir))
# Note: First tf.compat.v1.Event is always file_version.
self.assertEqual(1, get_total())
sess.run(summary_ops.all_summary_ops())
self.assertEqual(1, get_total())
# Should flush after second summary since max_queue = 1
sess.run(summary_ops.all_summary_ops())
self.assertEqual(3, get_total())
def testSummaryGraphModeCond(self):
with ops.Graph().as_default(), self.cached_session():
training_util.get_or_create_global_step()
logdir = tempfile.mkdtemp()
with summary_ops.create_file_writer(
logdir, max_queue=0,
name='t2').as_default(), summary_ops.always_record_summaries():
summary_ops.initialize()
training_util.get_or_create_global_step().initializer.run()
def f():
summary_ops.scalar('scalar', 2.0)
return constant_op.constant(True)
pred = array_ops.placeholder(dtypes.bool)
x = control_flow_ops.cond(pred, f,
lambda: constant_op.constant(False))
x.eval(feed_dict={pred: True})
events = summary_test_util.events_from_logdir(logdir)
self.assertEqual(len(events), 2)
self.assertEqual(events[1].summary.value[0].tag, 'cond/scalar')
def testRecordEveryNGlobalSteps(self):
step = training_util.get_or_create_global_step()
logdir = tempfile.mkdtemp()
def run_step():
summary_ops.scalar('scalar', i, step=step)
step.assign_add(1)
with summary_ops.create_file_writer(
logdir).as_default(), summary_ops.record_summaries_every_n_global_steps(
2, step):
for i in range(10):
run_step()
# And another 10 steps as a graph function.
run_step_fn = function.defun(run_step)
for i in range(10):
run_step_fn()
events = summary_test_util.events_from_logdir(logdir)
self.assertEqual(len(events), 11)
def testFlushFunction(self):
logs = tempfile.mkdtemp()
writer = summary_ops.create_file_writer(
logs, max_queue=999999, flush_millis=999999, name='lol')
with writer.as_default(), summary_ops.always_record_summaries():
get_total = lambda: len(summary_test_util.events_from_logdir(logs))
# Note: First tf.compat.v1.Event is always file_version.
self.assertEqual(1, get_total())
summary_ops.scalar('scalar', 2.0, step=1)
summary_ops.scalar('scalar', 2.0, step=2)
self.assertEqual(1, get_total())
summary_ops.flush()
self.assertEqual(3, get_total())
# Test "writer" parameter
summary_ops.scalar('scalar', 2.0, step=3)
summary_ops.flush(writer=writer)
self.assertEqual(4, get_total())
summary_ops.scalar('scalar', 2.0, step=4)
summary_ops.flush(writer=writer._resource) # pylint:disable=protected-access
self.assertEqual(5, get_total())
def testFlushFunction(self):
logdir = self.get_temp_dir()
writer = summary_ops.create_file_writer(
logdir, max_queue=999999, flush_millis=999999)
with writer.as_default(), summary_ops.always_record_summaries():
summary_ops.scalar('scalar', 2.0, step=1)
flush_op = summary_ops.flush()
with self.cached_session() as sess:
sess.run(summary_ops.summary_writer_initializer_op())
get_total = lambda: len(summary_test_util.events_from_logdir(logdir))
# Note: First tf.compat.v1.Event is always file_version.
self.assertEqual(1, get_total())
sess.run(summary_ops.all_summary_ops())
self.assertEqual(1, get_total())
sess.run(flush_op)
self.assertEqual(2, get_total())
# Test "writer" parameter
sess.run(summary_ops.all_summary_ops())
sess.run(summary_ops.flush(writer=writer))
self.assertEqual(3, get_total())
sess.run(summary_ops.all_summary_ops())
sess.run(summary_ops.flush(writer=writer._resource)) # pylint:disable=protected-access
self.assertEqual(4, get_total())
