cunumeric.partition#

cunumeric.partition(a: ndarray, kth: Union[int, Sequence[int]], axis: int = -1, kind: SelectKind = 'introselect', order: Optional[Union[str, list[str]]] = None) ndarray#

Returns a partitioned copy of an array.

Parameters:
  • a (array_like) – Input array.

  • kth (int or Sequence[int]) –

  • axis (int or None, optional) – Axis to partition. By default, the index -1 (the last axis) is used. If None, the flattened array is used.

  • kind ({'introselect'}, optional) – Currently not supported.

  • order (str or list[str], optional) – Currently not supported.

Returns:

out – Partitioned array with same dtype and shape as a. In case axis is None the result is flattened.

Return type:

ndarray

Notes

The current implementation falls back to cunumeric.sort.

See also

numpy.partition

Availability:

Multiple GPUs, Multiple CPUs