# 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()