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