1# Copyright 2019 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"""take-while dataset transformation.""" 16from __future__ import absolute_import 17from __future__ import division 18from __future__ import print_function 19 20from tensorflow.python.util import deprecation 21from tensorflow.python.util.tf_export import tf_export 22 23 24@deprecation.deprecated(None, "Use `tf.data.Dataset.take_while(...)") 25@tf_export("data.experimental.take_while") 26def take_while(predicate): 27 """A transformation that stops dataset iteration based on a `predicate`. 28 29 Args: 30 predicate: A function that maps a nested structure of tensors (having shapes 31 and types defined by `self.output_shapes` and `self.output_types`) to a 32 scalar `tf.bool` tensor. 33 34 Returns: 35 A `Dataset` transformation function, which can be passed to 36 `tf.data.Dataset.apply`. 37 """ 38 39 def _apply_fn(dataset): 40 return dataset.take_while(predicate=predicate) 41 42 return _apply_fn 43