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# Copyright 2015 Google Inc. 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 tensorflow.models.ptb_lstm.ptb_reader."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os.path
import tensorflow as tf
from tensorflow.models.rnn.ptb import reader
class PtbReaderTest(tf.test.TestCase):
def setUp(self):
self._string_data = "\n".join(
[" hello there i am",
" rain as day",
" want some cheesy puffs ?"])
def testPtbRawData(self):
tmpdir = tf.test.get_temp_dir()
for suffix in "train", "valid", "test":
filename = os.path.join(tmpdir, "ptb.%s.txt" % suffix)
with tf.gfile.GFile(filename, "w") as fh:
fh.write(self._string_data)
# Smoke test
output = reader.ptb_raw_data(tmpdir)
self.assertEqual(len(output), 4)
def testPtbIterator(self):
raw_data = [4, 3, 2, 1, 0, 5, 6, 1, 1, 1, 1, 0, 3, 4, 1]
batch_size = 3
num_steps = 2
output = list(reader.ptb_iterator(raw_data, batch_size, num_steps))
self.assertEqual(len(output), 2)
o1, o2 = (output[0], output[1])
self.assertEqual(o1[0].shape, (batch_size, num_steps))
self.assertEqual(o1[1].shape, (batch_size, num_steps))
self.assertEqual(o2[0].shape, (batch_size, num_steps))
self.assertEqual(o2[1].shape, (batch_size, num_steps))
if __name__ == "__main__":
tf.test.main()
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