# tf.sets.intersection

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|---|---|
| [![](https://www.tensorflow.org/images/tf_logo_32px.png) TensorFlow 2 version](https://www.tensorflow.org/api_docs/python/tf/sets/intersection) | [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/python/ops/sets_impl.py#L136-L201) |

Compute set intersection of elements in last dimension of `a` and `b`.

#### View aliases


**Main aliases**

\`tf.contrib.metrics.set_intersection\`, \`tf.sets.set_intersection\`
**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.sets.intersection`](https://www.tensorflow.org/api_docs/python/tf/sets/intersection), [`tf.compat.v1.sets.set_intersection`](https://www.tensorflow.org/api_docs/python/tf/sets/intersection), \`tf.compat.v2.sets.intersection\`

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    tf.sets.intersection(
        a, b, validate_indices=True
    )

All but the last dimension of `a` and `b` must match.

#### Example:

      import tensorflow as tf
      import collections

      # Represent the following array of sets as a sparse tensor:
      # a = np.array([[{1, 2}, {3}], [{4}, {5, 6}]])
      a = collections.OrderedDict([
          ((0, 0, 0), 1),
          ((0, 0, 1), 2),
          ((0, 1, 0), 3),
          ((1, 0, 0), 4),
          ((1, 1, 0), 5),
          ((1, 1, 1), 6),
      ])
      a = tf.SparseTensor(list(a.keys()), list(a.values()), dense_shape=[2,2,2])

      # b = np.array([[{1}, {}], [{4}, {5, 6, 7, 8}]])
      b = collections.OrderedDict([
          ((0, 0, 0), 1),
          ((1, 0, 0), 4),
          ((1, 1, 0), 5),
          ((1, 1, 1), 6),
          ((1, 1, 2), 7),
          ((1, 1, 3), 8),
      ])
      b = tf.SparseTensor(list(b.keys()), list(b.values()), dense_shape=[2, 2, 4])

      # `tf.sets.intersection` is applied to each aligned pair of sets.
      tf.sets.intersection(a, b)

      # The result will be equivalent to either of:
      #
      # np.array([[{1}, {}], [{4}, {5, 6}]])
      #
      # collections.OrderedDict([
      #     ((0, 0, 0), 1),
      #     ((1, 0, 0), 4),
      #     ((1, 1, 0), 5),
      #     ((1, 1, 1), 6),
      # ])

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| ## Args ||
|---|---|
| `a` | `Tensor` or `SparseTensor` of the same type as `b`. If sparse, indices must be sorted in row-major order. |
| `b` | `Tensor` or `SparseTensor` of the same type as `a`. If sparse, indices must be sorted in row-major order. |
| `validate_indices` | Whether to validate the order and range of sparse indices in `a` and `b`. |

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| ## Returns ||
|---|---|
| A `SparseTensor` whose shape is the same rank as `a` and `b`, and all but the last dimension the same. Elements along the last dimension contain the intersections. ||

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