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unique.py
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/
unique.py
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# Copyright 2017 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.
# ==============================================================================
"""Unique element dataset transformations."""
from tensorflow.python.util import deprecation
from tensorflow.python.util.tf_export import tf_export
@deprecation.deprecated(None, "Use `tf.data.Dataset.unique(...)")
@tf_export("data.experimental.unique")
def unique():
"""Creates a `Dataset` from another `Dataset`, discarding duplicates.
Use this transformation to produce a dataset that contains one instance of
each unique element in the input. For example:
```python
dataset = tf.data.Dataset.from_tensor_slices([1, 37, 2, 37, 2, 1])
# Using `unique()` will drop the duplicate elements.
dataset = dataset.apply(tf.data.experimental.unique()) # ==> { 1, 37, 2 }
```
Returns:
A `Dataset` transformation function, which can be passed to
`tf.data.Dataset.apply`.
"""
def _apply_fn(dataset):
return dataset.unique()
return _apply_fn