44 lines
1.5 KiB
Python
44 lines
1.5 KiB
Python
# Copyright 2017 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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"""Unique element dataset transformations."""
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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.unique(...)")
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@tf_export("data.experimental.unique")
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def unique():
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"""Creates a `Dataset` from another `Dataset`, discarding duplicates.
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Use this transformation to produce a dataset that contains one instance of
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each unique element in the input. For example:
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```python
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dataset = tf.data.Dataset.from_tensor_slices([1, 37, 2, 37, 2, 1])
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# Using `unique()` will drop the duplicate elements.
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dataset = dataset.apply(tf.data.experimental.unique()) # ==> { 1, 37, 2 }
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```
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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.unique()
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return _apply_fn
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