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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.
# ==============================================================================
"""Test RangeDataset."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.data.ops import dataset_ops
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import errors
from tensorflow.python.ops import array_ops
from tensorflow.python.platform import test
class RangeDatasetTest(test.TestCase):
def testStop(self):
stop = array_ops.placeholder(dtypes.int64, shape=[])
iterator = dataset_ops.Dataset.range(stop).make_initializable_iterator()
init_op = iterator.initializer
get_next = iterator.get_next()
with self.test_session() as sess:
sess.run(init_op, feed_dict={stop: 5})
for i in range(5):
self.assertEqual(i, sess.run(get_next))
with self.assertRaises(errors.OutOfRangeError):
sess.run(get_next)
def testStartStop(self):
start = array_ops.placeholder(dtypes.int64, shape=[])
stop = array_ops.placeholder(dtypes.int64, shape=[])
iterator = dataset_ops.Dataset.range(start,
stop).make_initializable_iterator()
init_op = iterator.initializer
get_next = iterator.get_next()
with self.test_session() as sess:
sess.run(init_op, feed_dict={start: 2, stop: 5})
for i in range(2, 5):
self.assertEqual(i, sess.run(get_next))
with self.assertRaises(errors.OutOfRangeError):
sess.run(get_next)
def testStartStopStep(self):
start = array_ops.placeholder(dtypes.int64, shape=[])
stop = array_ops.placeholder(dtypes.int64, shape=[])
step = array_ops.placeholder(dtypes.int64, shape=[])
iterator = dataset_ops.Dataset.range(start, stop,
step).make_initializable_iterator()
init_op = iterator.initializer
get_next = iterator.get_next()
with self.test_session() as sess:
sess.run(init_op, feed_dict={start: 2, stop: 10, step: 2})
for i in range(2, 10, 2):
self.assertEqual(i, sess.run(get_next))
with self.assertRaises(errors.OutOfRangeError):
sess.run(get_next)
def testZeroStep(self):
start = array_ops.placeholder(dtypes.int64, shape=[])
stop = array_ops.placeholder(dtypes.int64, shape=[])
step = array_ops.placeholder(dtypes.int64, shape=[])
iterator = dataset_ops.Dataset.range(start, stop,
step).make_initializable_iterator()
init_op = iterator.initializer
with self.test_session() as sess:
with self.assertRaises(errors.InvalidArgumentError):
sess.run(init_op, feed_dict={start: 2, stop: 10, step: 0})
def testNegativeStep(self):
start = array_ops.placeholder(dtypes.int64, shape=[])
stop = array_ops.placeholder(dtypes.int64, shape=[])
step = array_ops.placeholder(dtypes.int64, shape=[])
iterator = dataset_ops.Dataset.range(start, stop,
step).make_initializable_iterator()
init_op = iterator.initializer
get_next = iterator.get_next()
with self.test_session() as sess:
sess.run(init_op, feed_dict={start: 2, stop: 10, step: -1})
# This for loop is a no-op but will ensure that the implementation is
# consistent with range if it ever changes.
for i in range(2, 10, -1):
self.assertEqual(i, sess.run(get_next))
with self.assertRaises(errors.OutOfRangeError):
sess.run(get_next)
def testStopLessThanStart(self):
start = array_ops.placeholder(dtypes.int64, shape=[])
stop = array_ops.placeholder(dtypes.int64, shape=[])
iterator = dataset_ops.Dataset.range(start,
stop).make_initializable_iterator()
init_op = iterator.initializer
get_next = iterator.get_next()
with self.test_session() as sess:
sess.run(init_op, feed_dict={start: 10, stop: 2})
# This for loop is a no-op but will ensure that the implementation is
# consistent with range if it ever changes.
for i in range(10, 2):
self.assertEqual(i, sess.run(get_next))
with self.assertRaises(errors.OutOfRangeError):
sess.run(get_next)
def testStopLessThanStartWithPositiveStep(self):
start = array_ops.placeholder(dtypes.int64, shape=[])
stop = array_ops.placeholder(dtypes.int64, shape=[])
step = array_ops.placeholder(dtypes.int64, shape=[])
iterator = dataset_ops.Dataset.range(start, stop,
step).make_initializable_iterator()
init_op = iterator.initializer
get_next = iterator.get_next()
with self.test_session() as sess:
sess.run(init_op, feed_dict={start: 10, stop: 2, step: 2})
# This for loop is a no-op but will ensure that the implementation is
# consistent with range if it ever changes.
for i in range(10, 2, 2):
self.assertEqual(i, sess.run(get_next))
with self.assertRaises(errors.OutOfRangeError):
sess.run(get_next)
def testStopLessThanStartWithNegativeStep(self):
start = array_ops.placeholder(dtypes.int64, shape=[])
stop = array_ops.placeholder(dtypes.int64, shape=[])
step = array_ops.placeholder(dtypes.int64, shape=[])
iterator = dataset_ops.Dataset.range(start, stop,
step).make_initializable_iterator()
init_op = iterator.initializer
get_next = iterator.get_next()
with self.test_session() as sess:
sess.run(init_op, feed_dict={start: 10, stop: 2, step: -1})
for i in range(10, 2, -1):
self.assertEqual(i, sess.run(get_next))
with self.assertRaises(errors.OutOfRangeError):
sess.run(get_next)
if __name__ == "__main__":
test.main()
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