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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 record_input_op."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
from tensorflow.python.framework.errors_impl import NotFoundError
from tensorflow.python.lib.io import tf_record
from tensorflow.python.ops import data_flow_ops
from tensorflow.python.ops import variables
from tensorflow.python.platform import test
class RecordInputOpTest(test.TestCase):
def generateTestData(self,
prefix,
n,
m,
compression_type=tf_record.TFRecordCompressionType.NONE):
options = tf_record.TFRecordOptions(compression_type)
for i in range(n):
f = os.path.join(self.get_temp_dir(), prefix + "." + str(i))
w = tf_record.TFRecordWriter(f, options=options)
for j in range(m):
w.write("{0:0{width}}".format(i * m + j, width=10).encode("utf-8"))
w.close()
def testRecordInputSimple(self):
with self.cached_session() as sess:
self.generateTestData("basic", 1, 1)
yield_op = data_flow_ops.RecordInput(
file_pattern=os.path.join(self.get_temp_dir(), "basic.*"),
parallelism=1,
buffer_size=1,
batch_size=1,
name="record_input").get_yield_op()
self.assertEqual(sess.run(yield_op), b"0000000000")
def testRecordInputSimpleGzip(self):
with self.cached_session() as sess:
self.generateTestData(
"basic",
1,
1,
compression_type=tf_record.TFRecordCompressionType.GZIP)
yield_op = data_flow_ops.RecordInput(
file_pattern=os.path.join(self.get_temp_dir(), "basic.*"),
parallelism=1,
buffer_size=1,
batch_size=1,
name="record_input",
compression_type=tf_record.TFRecordCompressionType.GZIP).get_yield_op(
)
self.assertEqual(sess.run(yield_op), b"0000000000")
def testRecordInputSimpleZlib(self):
with self.cached_session() as sess:
self.generateTestData(
"basic",
1,
1,
compression_type=tf_record.TFRecordCompressionType.ZLIB)
yield_op = data_flow_ops.RecordInput(
file_pattern=os.path.join(self.get_temp_dir(), "basic.*"),
parallelism=1,
buffer_size=1,
batch_size=1,
name="record_input",
compression_type=tf_record.TFRecordCompressionType.ZLIB).get_yield_op(
)
self.assertEqual(sess.run(yield_op), b"0000000000")
def testRecordInputEpochs(self):
files = 100
records_per_file = 100
batches = 2
with self.cached_session() as sess:
self.generateTestData("basic", files, records_per_file)
records = data_flow_ops.RecordInput(
file_pattern=os.path.join(self.get_temp_dir(), "basic.*"),
parallelism=2,
buffer_size=2000,
batch_size=1,
shift_ratio=0.33,
seed=10,
name="record_input",
batches=batches)
yield_op = records.get_yield_op()
# cycle over 3 epochs and make sure we never duplicate
for _ in range(3):
epoch_set = set()
for _ in range(int(files * records_per_file / batches)):
op_list = sess.run(yield_op)
self.assertTrue(len(op_list) is batches)
for r in op_list:
self.assertTrue(r[0] not in epoch_set)
epoch_set.add(r[0])
def testDoesNotDeadlock(self):
# Iterate multiple times to cause deadlock if there is a chance it can occur
for _ in range(30):
with self.cached_session() as sess:
self.generateTestData("basic", 1, 1)
records = data_flow_ops.RecordInput(
file_pattern=os.path.join(self.get_temp_dir(), "basic.*"),
parallelism=1,
buffer_size=100,
batch_size=1,
name="record_input")
yield_op = records.get_yield_op()
for _ in range(50):
sess.run(yield_op)
def testEmptyGlob(self):
with self.cached_session() as sess:
record_input = data_flow_ops.RecordInput(file_pattern="foo")
yield_op = record_input.get_yield_op()
sess.run(variables.global_variables_initializer())
with self.assertRaises(NotFoundError):
sess.run(yield_op)
def testBufferTooSmall(self):
files = 10
records_per_file = 10
batches = 2
with self.cached_session() as sess:
self.generateTestData("basic", files, records_per_file)
records = data_flow_ops.RecordInput(
file_pattern=os.path.join(self.get_temp_dir(), "basic.*"),
parallelism=2,
buffer_size=2000,
batch_size=1,
shift_ratio=0.33,
seed=10,
name="record_input",
batches=batches)
yield_op = records.get_yield_op()
# cycle over 3 epochs and make sure we never duplicate
for _ in range(3):
epoch_set = set()
for _ in range(int(files * records_per_file / batches)):
op_list = sess.run(yield_op)
self.assertTrue(len(op_list) is batches)
for r in op_list:
self.assertTrue(r[0] not in epoch_set)
epoch_set.add(r[0])
if __name__ == "__main__":
test.main()
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