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# Copyright 2018 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 `tf.data.experimental.TFRecordWriter`."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
from tensorflow.python.data.experimental.ops import writers
from tensorflow.python.data.kernel_tests import test_base
from tensorflow.python.data.ops import dataset_ops
from tensorflow.python.data.ops import readers
from tensorflow.python.framework import dtypes
from tensorflow.python.lib.io import python_io
from tensorflow.python.lib.io import tf_record
from tensorflow.python.ops import array_ops
from tensorflow.python.platform import test
from tensorflow.python.util import compat
class TFRecordWriterTest(test_base.DatasetTestBase):
def setUp(self):
super(TFRecordWriterTest, self).setUp()
self._num_records = 7
self.filename = array_ops.placeholder(dtypes.string, shape=[])
self.compression_type = array_ops.placeholder_with_default("", shape=[])
input_dataset = readers.TFRecordDataset([self.filename],
self.compression_type)
self.writer = writers.TFRecordWriter(
self._outputFilename(), self.compression_type).write(input_dataset)
def _record(self, i):
return compat.as_bytes("Record %d" % (i))
def _createFile(self, options=None):
filename = self._inputFilename()
writer = python_io.TFRecordWriter(filename, options)
for i in range(self._num_records):
writer.write(self._record(i))
writer.close()
return filename
def _inputFilename(self):
return os.path.join(self.get_temp_dir(), "tf_record.in.txt")
def _outputFilename(self):
return os.path.join(self.get_temp_dir(), "tf_record.out.txt")
def testWrite(self):
with self.cached_session() as sess:
sess.run(
self.writer, feed_dict={
self.filename: self._createFile(),
})
for i, r in enumerate(tf_record.tf_record_iterator(self._outputFilename())):
self.assertAllEqual(self._record(i), r)
def testWriteZLIB(self):
options = tf_record.TFRecordOptions(tf_record.TFRecordCompressionType.ZLIB)
with self.cached_session() as sess:
sess.run(
self.writer,
feed_dict={
self.filename: self._createFile(options),
self.compression_type: "ZLIB",
})
for i, r in enumerate(
tf_record.tf_record_iterator(self._outputFilename(), options=options)):
self.assertAllEqual(self._record(i), r)
def testWriteGZIP(self):
options = tf_record.TFRecordOptions(tf_record.TFRecordCompressionType.GZIP)
with self.cached_session() as sess:
sess.run(
self.writer,
feed_dict={
self.filename: self._createFile(options),
self.compression_type: "GZIP",
})
for i, r in enumerate(
tf_record.tf_record_iterator(self._outputFilename(), options=options)):
self.assertAllEqual(self._record(i), r)
def testFailDataset(self):
with self.assertRaises(TypeError):
writers.TFRecordWriter(self._outputFilename(),
self.compression_type).write("whoops")
def testFailDType(self):
input_dataset = dataset_ops.Dataset.from_tensors(10)
with self.assertRaises(TypeError):
writers.TFRecordWriter(self._outputFilename(),
self.compression_type).write(input_dataset)
def testFailShape(self):
input_dataset = dataset_ops.Dataset.from_tensors([["hello"], ["world"]])
with self.assertRaises(TypeError):
writers.TFRecordWriter(self._outputFilename(),
self.compression_type).write(input_dataset)
if __name__ == "__main__":
test.main()
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