Coverage for /pythoncovmergedfiles/medio/medio/usr/local/lib/python3.8/site-packages/tensorflow/python/data/ops/repeat_op.py: 53%

1# Copyright 2022 The TensorFlow Authors. All Rights Reserved. 

2# 

3# Licensed under the Apache License, Version 2.0 (the "License"); 

4# you may not use this file except in compliance with the License. 

5# You may obtain a copy of the License at 

6# 

7# http://www.apache.org/licenses/LICENSE-2.0 

8# 

9# Unless required by applicable law or agreed to in writing, software 

10# distributed under the License is distributed on an "AS IS" BASIS, 

11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 

12# See the License for the specific language governing permissions and 

13# limitations under the License. 

14# ============================================================================== 

15"""The implementation of `tf.data.Dataset.repeat`.""" 

16 

17from tensorflow.python.data.ops import dataset_ops 

18from tensorflow.python.framework import constant_op 

19from tensorflow.python.framework import dtypes 

20from tensorflow.python.framework import ops 

21from tensorflow.python.ops import gen_dataset_ops 

22 

23 

24def _repeat(input_dataset, count, name): # pylint: disable=unused-private-name 

25 return _RepeatDataset(input_dataset, count, name) 

26 

27 

28class _RepeatDataset(dataset_ops.UnaryUnchangedStructureDataset): 

29 """A `Dataset` that repeats its input several times.""" 

30 

31 def __init__(self, input_dataset, count, name=None): 

32 """See `Dataset.repeat()` for details.""" 

33 self._input_dataset = input_dataset 

34 if count is None: 

35 self._count = constant_op.constant(-1, dtype=dtypes.int64, name="count") 

36 else: 

37 self._count = ops.convert_to_tensor( 

38 count, dtype=dtypes.int64, name="count") 

39 self._name = name 

40 variant_tensor = gen_dataset_ops.repeat_dataset( 

41 input_dataset._variant_tensor, # pylint: disable=protected-access 

42 count=self._count, 

43 **self._common_args) 

44 super().__init__(input_dataset, variant_tensor)