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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 `tf.data.experimental.enumerate_dataset()`."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.data.experimental.ops import enumerate_ops
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.framework import tensor_shape
from tensorflow.python.platform import test
class EnumerateDatasetTest(test_base.DatasetTestBase):
def testEnumerateDataset(self):
components = (["a", "b"], [1, 2], [37.0, 38])
start = constant_op.constant(20, dtype=dtypes.int64)
iterator = (dataset_ops.Dataset.from_tensor_slices(components).apply(
enumerate_ops.enumerate_dataset(start)).make_initializable_iterator())
init_op = iterator.initializer
get_next = iterator.get_next()
self.assertEqual(dtypes.int64, get_next[0].dtype)
self.assertEqual((), get_next[0].shape)
self.assertEqual([tensor_shape.TensorShape([])] * 3,
[t.shape for t in get_next[1]])
with self.cached_session() as sess:
sess.run(init_op)
self.assertEqual((20, (b"a", 1, 37.0)), sess.run(get_next))
self.assertEqual((21, (b"b", 2, 38.0)), sess.run(get_next))
with self.assertRaises(errors.OutOfRangeError):
sess.run(get_next)
if __name__ == "__main__":
test.main()
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