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# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import functools
import os
import tempfile
import six
import sqlite3
from tensorflow.contrib.summary import summary_ops
from tensorflow.contrib.summary import summary_test_util
from tensorflow.python.eager import function
from tensorflow.python.eager import test
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import errors
from tensorflow.python.framework import test_util
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import state_ops
from tensorflow.python.platform import gfile
from tensorflow.python.training import training_util
class TargetTest(test_util.TensorFlowTestCase):
def testInvalidDirectory(self):
logdir = '/tmp/apath/that/doesnt/exist'
self.assertFalse(gfile.Exists(logdir))
with self.assertRaises(errors.NotFoundError):
summary_ops.create_summary_file_writer(logdir, max_queue=0, name='t0')
def testShouldRecordSummary(self):
self.assertFalse(summary_ops.should_record_summaries())
with summary_ops.always_record_summaries():
self.assertTrue(summary_ops.should_record_summaries())
def testSummaryOps(self):
training_util.get_or_create_global_step()
logdir = tempfile.mkdtemp()
with summary_ops.create_summary_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 testDefunSummarys(self):
training_util.get_or_create_global_step()
logdir = tempfile.mkdtemp()
with summary_ops.create_summary_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_file(logdir)
self.assertEqual(len(events), 2)
self.assertEqual(events[1].summary.value[0].simple_value, 2.0)
def testSummaryName(self):
training_util.get_or_create_global_step()
logdir = tempfile.mkdtemp()
with summary_ops.create_summary_file_writer(
logdir, max_queue=0,
name='t2').as_default(), summary_ops.always_record_summaries():
summary_ops.scalar('scalar', 2.0)
events = summary_test_util.events_from_file(logdir)
self.assertEqual(len(events), 2)
self.assertEqual(events[1].summary.value[0].tag, 'scalar')
def testSummaryGlobalStep(self):
global_step = training_util.get_or_create_global_step()
logdir = tempfile.mkdtemp()
with summary_ops.create_summary_file_writer(
logdir, max_queue=0,
name='t2').as_default(), summary_ops.always_record_summaries():
summary_ops.scalar('scalar', 2.0, global_step=global_step)
events = summary_test_util.events_from_file(logdir)
self.assertEqual(len(events), 2)
self.assertEqual(events[1].summary.value[0].tag, 'scalar')
class DbTest(test_util.TensorFlowTestCase):
def setUp(self):
self.db_path = os.path.join(self.get_temp_dir(), 'DbTest.sqlite')
if os.path.exists(self.db_path):
os.unlink(self.db_path)
self.db = sqlite3.connect(self.db_path)
self.create_summary_db_writer = functools.partial(
summary_ops.create_summary_db_writer,
db_uri=self.db_path,
experiment_name='experiment',
run_name='run',
user_name='user')
def tearDown(self):
self.db.close()
def testIntegerSummaries(self):
step = training_util.create_global_step()
def adder(x, y):
state_ops.assign_add(step, 1)
summary_ops.generic('x', x)
summary_ops.generic('y', y)
sum_ = x + y
summary_ops.generic('sum', sum_)
return sum_
with summary_ops.always_record_summaries():
with self.create_summary_db_writer().as_default():
self.assertEqual(5, adder(int64(2), int64(3)).numpy())
six.assertCountEqual(self, [1, 1, 1],
get_all(self.db, 'SELECT step FROM Tensors'))
six.assertCountEqual(self, ['x', 'y', 'sum'],
get_all(self.db, 'SELECT tag_name FROM Tags'))
x_id = get_one(self.db, 'SELECT tag_id FROM Tags WHERE tag_name = "x"')
y_id = get_one(self.db, 'SELECT tag_id FROM Tags WHERE tag_name = "y"')
sum_id = get_one(self.db, 'SELECT tag_id FROM Tags WHERE tag_name = "sum"')
with summary_ops.always_record_summaries():
with self.create_summary_db_writer().as_default():
self.assertEqual(9, adder(int64(4), int64(5)).numpy())
six.assertCountEqual(self, [1, 1, 1, 2, 2, 2],
get_all(self.db, 'SELECT step FROM Tensors'))
six.assertCountEqual(self, [x_id, y_id, sum_id],
get_all(self.db, 'SELECT tag_id FROM Tags'))
self.assertEqual(2, get_tensor(self.db, x_id, 1))
self.assertEqual(3, get_tensor(self.db, y_id, 1))
self.assertEqual(5, get_tensor(self.db, sum_id, 1))
self.assertEqual(4, get_tensor(self.db, x_id, 2))
self.assertEqual(5, get_tensor(self.db, y_id, 2))
self.assertEqual(9, get_tensor(self.db, sum_id, 2))
six.assertCountEqual(
self, ['experiment'],
get_all(self.db, 'SELECT experiment_name FROM Experiments'))
six.assertCountEqual(self, ['run'],
get_all(self.db, 'SELECT run_name FROM Runs'))
six.assertCountEqual(self, ['user'],
get_all(self.db, 'SELECT user_name FROM Users'))
def testBadExperimentName(self):
with self.assertRaises(ValueError):
self.create_summary_db_writer(experiment_name='\0')
def testBadRunName(self):
with self.assertRaises(ValueError):
self.create_summary_db_writer(run_name='\0')
def testBadUserName(self):
with self.assertRaises(ValueError):
self.create_summary_db_writer(user_name='-hi')
with self.assertRaises(ValueError):
self.create_summary_db_writer(user_name='hi-')
with self.assertRaises(ValueError):
self.create_summary_db_writer(user_name='@')
def get_one(db, q, *p):
return db.execute(q, p).fetchone()[0]
def get_all(db, q, *p):
return unroll(db.execute(q, p).fetchall())
def get_tensor(db, tag_id, step):
return get_one(
db, 'SELECT tensor FROM Tensors WHERE tag_id = ? AND step = ?', tag_id,
step)
def int64(x):
return array_ops.constant(x, dtypes.int64)
def unroll(list_of_tuples):
return sum(list_of_tuples, ())
if __name__ == '__main__':
test.main()
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