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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 the MapParallelization optimization."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.data.experimental.ops import optimization
from tensorflow.python.data.kernel_tests import test_base
from tensorflow.python.data.ops import dataset_ops
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import errors
from tensorflow.python.ops import math_ops
from tensorflow.python.platform import test
class NoopEliminationTest(test_base.DatasetTestBase):
def testNoopElimination(self):
a = constant_op.constant(1, dtype=dtypes.int64)
b = constant_op.constant(2, dtype=dtypes.int64)
some_tensor = math_ops.mul(a, b)
dataset = dataset_ops.Dataset.range(5)
dataset = dataset.apply(
optimization.assert_next(
["FiniteRepeat", "FiniteSkip", "Prefetch", "Prefetch"]))
dataset = dataset.repeat(some_tensor).skip(5).prefetch(0).take(-1).skip(
0).repeat(1).prefetch(0)
options = dataset_ops.Options()
options.experimental_noop_elimination = True
dataset = dataset.with_options(options)
iterator = dataset.make_one_shot_iterator()
get_next = iterator.get_next()
with self.test_session() as sess:
for x in range(5):
result = sess.run(get_next)
self.assertAllEqual(result, x)
with self.assertRaises(errors.OutOfRangeError):
sess.run(get_next)
if __name__ == "__main__":
test.main()
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