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# Copyright 2016 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.
# ==============================================================================
"""Tests for slim.data.parallel_reader."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.contrib.slim.python.slim import queues
from tensorflow.contrib.slim.python.slim.data import parallel_reader
from tensorflow.contrib.slim.python.slim.data import test_utils
from tensorflow.python.framework import dtypes as dtypes_lib
from tensorflow.python.framework import errors_impl
from tensorflow.python.framework import ops
from tensorflow.python.framework import tensor_shape
from tensorflow.python.ops import data_flow_ops
from tensorflow.python.ops import io_ops
from tensorflow.python.ops import variables
from tensorflow.python.platform import test
from tensorflow.python.training import input as input_lib
from tensorflow.python.training import supervisor
class ParallelReaderTest(test.TestCase):
def setUp(self):
ops.reset_default_graph()
def _verify_all_data_sources_read(self, shared_queue):
with self.test_session():
tfrecord_paths = test_utils.create_tfrecord_files(
self.get_temp_dir(), num_files=3)
num_readers = len(tfrecord_paths)
p_reader = parallel_reader.ParallelReader(
io_ops.TFRecordReader, shared_queue, num_readers=num_readers)
data_files = parallel_reader.get_data_files(tfrecord_paths)
filename_queue = input_lib.string_input_producer(data_files)
key, value = p_reader.read(filename_queue)
count0 = 0
count1 = 0
count2 = 0
num_reads = 50
sv = supervisor.Supervisor(logdir=self.get_temp_dir())
with sv.prepare_or_wait_for_session() as sess:
sv.start_queue_runners(sess)
for _ in range(num_reads):
current_key, _ = sess.run([key, value])
if '0-of-3' in str(current_key):
count0 += 1
if '1-of-3' in str(current_key):
count1 += 1
if '2-of-3' in str(current_key):
count2 += 1
self.assertGreater(count0, 0)
self.assertGreater(count1, 0)
self.assertGreater(count2, 0)
self.assertEquals(count0 + count1 + count2, num_reads)
def _verify_read_up_to_out(self, shared_queue):
with self.test_session():
num_files = 3
num_records_per_file = 7
tfrecord_paths = test_utils.create_tfrecord_files(
self.get_temp_dir(),
num_files=num_files,
num_records_per_file=num_records_per_file)
p_reader = parallel_reader.ParallelReader(
io_ops.TFRecordReader, shared_queue, num_readers=5)
data_files = parallel_reader.get_data_files(tfrecord_paths)
filename_queue = input_lib.string_input_producer(data_files, num_epochs=1)
key, value = p_reader.read_up_to(filename_queue, 4)
count0 = 0
count1 = 0
count2 = 0
all_keys_count = 0
all_values_count = 0
sv = supervisor.Supervisor(logdir=self.get_temp_dir())
with sv.prepare_or_wait_for_session() as sess:
sv.start_queue_runners(sess)
while True:
try:
current_keys, current_values = sess.run([key, value])
self.assertEquals(len(current_keys), len(current_values))
all_keys_count += len(current_keys)
all_values_count += len(current_values)
for current_key in current_keys:
if '0-of-3' in str(current_key):
count0 += 1
if '1-of-3' in str(current_key):
count1 += 1
if '2-of-3' in str(current_key):
count2 += 1
except errors_impl.OutOfRangeError:
break
self.assertEquals(count0, num_records_per_file)
self.assertEquals(count1, num_records_per_file)
self.assertEquals(count2, num_records_per_file)
self.assertEquals(all_keys_count, num_files * num_records_per_file)
self.assertEquals(all_values_count, all_keys_count)
self.assertEquals(count0 + count1 + count2, all_keys_count)
def testRandomShuffleQueue(self):
shared_queue = data_flow_ops.RandomShuffleQueue(
capacity=256,
min_after_dequeue=128,
dtypes=[dtypes_lib.string, dtypes_lib.string])
self._verify_all_data_sources_read(shared_queue)
def testFIFOSharedQueue(self):
shared_queue = data_flow_ops.FIFOQueue(
capacity=256, dtypes=[dtypes_lib.string, dtypes_lib.string])
self._verify_all_data_sources_read(shared_queue)
def testReadUpToFromRandomShuffleQueue(self):
shared_queue = data_flow_ops.RandomShuffleQueue(
capacity=55,
min_after_dequeue=28,
dtypes=[dtypes_lib.string, dtypes_lib.string],
shapes=[tensor_shape.scalar(),
tensor_shape.scalar()])
self._verify_read_up_to_out(shared_queue)
def testReadUpToFromFIFOQueue(self):
shared_queue = data_flow_ops.FIFOQueue(
capacity=99,
dtypes=[dtypes_lib.string, dtypes_lib.string],
shapes=[tensor_shape.scalar(),
tensor_shape.scalar()])
self._verify_read_up_to_out(shared_queue)
class ParallelReadTest(test.TestCase):
def setUp(self):
ops.reset_default_graph()
def testTFRecordReader(self):
with self.test_session():
self._tfrecord_paths = test_utils.create_tfrecord_files(
self.get_temp_dir(), num_files=3)
key, value = parallel_reader.parallel_read(
self._tfrecord_paths, reader_class=io_ops.TFRecordReader, num_readers=3)
sv = supervisor.Supervisor(logdir=self.get_temp_dir())
with sv.prepare_or_wait_for_session() as sess:
sv.start_queue_runners(sess)
flowers = 0
num_reads = 100
for _ in range(num_reads):
current_key, _ = sess.run([key, value])
if 'flowers' in str(current_key):
flowers += 1
self.assertGreater(flowers, 0)
self.assertEquals(flowers, num_reads)
class SinglePassReadTest(test.TestCase):
def setUp(self):
ops.reset_default_graph()
def testOutOfRangeError(self):
with self.test_session():
[tfrecord_path] = test_utils.create_tfrecord_files(
self.get_temp_dir(), num_files=1)
key, value = parallel_reader.single_pass_read(
tfrecord_path, reader_class=io_ops.TFRecordReader)
init_op = variables.local_variables_initializer()
with self.test_session() as sess:
sess.run(init_op)
with queues.QueueRunners(sess):
num_reads = 11
with self.assertRaises(errors_impl.OutOfRangeError):
for _ in range(num_reads):
sess.run([key, value])
def testTFRecordReader(self):
with self.test_session():
[tfrecord_path] = test_utils.create_tfrecord_files(
self.get_temp_dir(), num_files=1)
key, value = parallel_reader.single_pass_read(
tfrecord_path, reader_class=io_ops.TFRecordReader)
init_op = variables.local_variables_initializer()
with self.test_session() as sess:
sess.run(init_op)
with queues.QueueRunners(sess):
flowers = 0
num_reads = 9
for _ in range(num_reads):
current_key, _ = sess.run([key, value])
if 'flowers' in str(current_key):
flowers += 1
self.assertGreater(flowers, 0)
self.assertEquals(flowers, num_reads)
if __name__ == '__main__':
test.main()
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