Coverage for /pythoncovmergedfiles/medio/medio/usr/local/lib/python3.8/site-packages/tensorflow/python/data/experimental/ops/error_ops.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"""Ignore_errors dataset transformations.""" 

16from tensorflow.python.util import deprecation 

17from tensorflow.python.util.tf_export import tf_export 

18 

19 

20@tf_export("data.experimental.ignore_errors") 

21@deprecation.deprecated(None, "Use `tf.data.Dataset.ignore_errors` instead.") 

22def ignore_errors(log_warning=False): 

23 """Creates a `Dataset` from another `Dataset` and silently ignores any errors. 

24 

25 Use this transformation to produce a dataset that contains the same elements 

26 as the input, but silently drops any elements that caused an error. For 

27 example: 

28 

29 ```python 

30 dataset = tf.data.Dataset.from_tensor_slices([1., 2., 0., 4.]) 

31 

32 # Computing `tf.debugging.check_numerics(1. / 0.)` will raise an 

33 InvalidArgumentError. 

34 dataset = dataset.map(lambda x: tf.debugging.check_numerics(1. / x, "error")) 

35 

36 # Using `ignore_errors()` will drop the element that causes an error. 

37 dataset = 

38 dataset.apply(tf.data.experimental.ignore_errors()) # ==> {1., 0.5, 0.2} 

39 ``` 

40 Args: 

41 log_warning: (Optional.) A 'tf.bool' scalar indicating whether ignored 

42 errors should be logged to stderr. Defaults to 'False'. 

43 

44 Returns: 

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

46 `tf.data.Dataset.apply`. 

47 """ 

48 def _apply_fn(dataset): 

49 return dataset.ignore_errors(log_warning) 

50 

51 return _apply_fn