Function unique

tensorflow/contrib/data/python/ops/unique.py:25–42

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()` wi

()

@deprecation.deprecated(None, "Use `tf.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`.
  """
  return experimental_unique.unique()