39 lines
1.4 KiB
Python
39 lines
1.4 KiB
Python
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# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""take-while dataset transformation."""
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from tensorflow.python.util import deprecation
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from tensorflow.python.util.tf_export import tf_export
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@deprecation.deprecated(None, "Use `tf.data.Dataset.take_while(...)")
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@tf_export("data.experimental.take_while")
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def take_while(predicate):
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"""A transformation that stops dataset iteration based on a `predicate`.
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Args:
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predicate: A function that maps a nested structure of tensors (having shapes
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and types defined by `self.output_shapes` and `self.output_types`) to a
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scalar `tf.bool` tensor.
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Returns:
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A `Dataset` transformation function, which can be passed to
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`tf.data.Dataset.apply`.
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"""
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def _apply_fn(dataset):
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return dataset.take_while(predicate=predicate)
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return _apply_fn
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