Coverage for /pythoncovmergedfiles/medio/medio/usr/local/lib/python3.8/site-packages/tensorflow/python/data/experimental/ops/unique.py: 67%

1# Copyright 2017 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"""Unique element dataset transformations.""" 

16from tensorflow.python.util import deprecation 

17from tensorflow.python.util.tf_export import tf_export 

18 

19 

20@deprecation.deprecated(None, "Use `tf.data.Dataset.unique(...)") 

21@tf_export("data.experimental.unique") 

22def unique(): 

23 """Creates a `Dataset` from another `Dataset`, discarding duplicates. 

24 

25 Use this transformation to produce a dataset that contains one instance of 

26 each unique element in the input. For example: 

27 

28 ```python 

29 dataset = tf.data.Dataset.from_tensor_slices([1, 37, 2, 37, 2, 1]) 

30 

31 # Using `unique()` will drop the duplicate elements. 

32 dataset = dataset.apply(tf.data.experimental.unique()) # ==> { 1, 37, 2 } 

33 ``` 

34 

35 Returns: 

36 A `Dataset` transformation function, which can be passed to 

37 `tf.data.Dataset.apply`. 

38 """ 

39 

40 def _apply_fn(dataset): 

41 return dataset.unique() 

42 

43 return _apply_fn