# tf.sets.set_intersection(a, b, validate_indices=True)

### tf.sets.set_intersection(a, b, validate_indices=True)

See the guide: Metrics (contrib) > Set Ops

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

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

Example:

  a = [
[
[
[1, 2],
[3],
],
[
[4],
[5, 6],
],
],
]
b = [
[
[
[1, 3],
[2],
],
[
[4, 5],
[5, 6, 7, 8],
],
],
]
set_intersection(a, b) = [
[
[
[1],
[],
],
[
[4],
[5, 6],
],
],
]


#### 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.

#### 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.

Defined in tensorflow/python/ops/sets_impl.py.