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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.
# ==============================================================================
"""Tests for the experimental input pipeline ops."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
from tensorflow.contrib.data.python.kernel_tests import dataset_serialization_test_base
from tensorflow.python.data.ops import dataset_ops
from tensorflow.python.platform import test
class SequenceDatasetSerializationTest(
dataset_serialization_test_base.DatasetSerializationTestBase):
def _build_skip_dataset(self, count):
components = (np.arange(10),)
return dataset_ops.Dataset.from_tensor_slices(components).skip(count)
def testSkipFewerThanInputs(self):
count = 4
num_outputs = 10 - count
self.run_core_tests(lambda: self._build_skip_dataset(count),
lambda: self._build_skip_dataset(count + 2),
num_outputs)
def testSkipVarious(self):
# Skip more than inputs
self.run_core_tests(lambda: self._build_skip_dataset(20), None, 0)
# Skip exactly the input size
self.run_core_tests(lambda: self._build_skip_dataset(10), None, 0)
self.run_core_tests(lambda: self._build_skip_dataset(-1), None, 0)
# Skip nothing
self.run_core_tests(lambda: self._build_skip_dataset(0), None, 10)
def _build_take_dataset(self, count):
components = (np.arange(10),)
return dataset_ops.Dataset.from_tensor_slices(components).take(count)
def testTakeFewerThanInputs(self):
count = 4
self.run_core_tests(
lambda: self._build_take_dataset(count),
lambda: self._build_take_dataset(count + 2),
count,
)
def testTakeVarious(self):
# Take more than inputs
self.run_core_tests(lambda: self._build_take_dataset(20), None, 10)
# Take exactly the input size
self.run_core_tests(lambda: self._build_take_dataset(10), None, 10)
# Take all
self.run_core_tests(lambda: self._build_take_dataset(-1), None, 10)
# Take nothing
self.run_core_tests(lambda: self._build_take_dataset(0), None, 0)
def _build_repeat_dataset(self, count, take_count=3):
components = (np.arange(10),)
return dataset_ops.Dataset.from_tensor_slices(components).take(
take_count).repeat(count)
def testFiniteRepeat(self):
count = 10
self.run_core_tests(lambda: self._build_repeat_dataset(count),
lambda: self._build_repeat_dataset(count + 2),
3 * count)
def testEmptyRepeat(self):
self.run_core_tests(lambda: self._build_repeat_dataset(0), None, 0)
def testInfiniteRepeat(self):
self.verify_unused_iterator(
lambda: self._build_repeat_dataset(-1), 10, verify_exhausted=False)
self.verify_init_before_restore(
lambda: self._build_repeat_dataset(-1), 10, verify_exhausted=False)
self.verify_multiple_breaks(
lambda: self._build_repeat_dataset(-1), 20, verify_exhausted=False)
self.verify_reset_restored_iterator(
lambda: self._build_repeat_dataset(-1), 20, verify_exhausted=False)
self.verify_restore_in_modified_graph(
lambda: self._build_repeat_dataset(-1),
lambda: self._build_repeat_dataset(2),
20,
verify_exhausted=False)
# Test repeat empty dataset
self.run_core_tests(lambda: self._build_repeat_dataset(-1, 0), None, 0)
def testInvalidRepeat(self):
with self.assertRaisesRegexp(
ValueError, 'Shape must be rank 0 but is rank 1'):
self.run_core_tests(lambda: self._build_repeat_dataset([1, 2], 0),
None, 0)
if __name__ == "__main__":
test.main()
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