cunumeric.unique#

cunumeric.unique(ar: ndarray, return_index: bool = False, return_inverse: bool = False, return_counts: bool = False, axis: int | None = None) ndarray#

Find the unique elements of an array. Returns the sorted unique elements of an array. There are three optional outputs in addition to the unique elements: * the indices of the input array that give the unique values * the indices of the unique array that reconstruct the input array * the number of times each unique value comes up in the input array

Parameters:
  • ar (array_like) – Input array. Unless axis is specified, this will be flattened if it is not already 1-D.

  • return_index (bool, optional) – If True, also return the indices of ar (along the specified axis, if provided, or in the flattened array) that result in the unique array. Currently not supported.

  • return_inverse (bool, optional) – If True, also return the indices of the unique array (for the specified axis, if provided) that can be used to reconstruct ar. Currently not supported.

  • return_counts (bool, optional) – If True, also return the number of times each unique item appears in ar. Currently not supported.

  • axis (int or None, optional) – The axis to operate on. If None, ar will be flattened. If an integer, the subarrays indexed by the given axis will be flattened and treated as the elements of a 1-D array with the dimension of the given axis, see the notes for more details. Object arrays or structured arrays that contain objects are not supported if the axis kwarg is used. The default is None. Currently not supported.

Returns:

  • unique (ndarray) – The sorted unique values.

  • unique_indices (ndarray, optional) – The indices of the first occurrences of the unique values in the original array. Only provided if return_index is True.

  • unique_inverse (ndarray, optional) – The indices to reconstruct the original array from the unique array. Only provided if return_inverse is True.

  • unique_counts (ndarray, optional) – The number of times each of the unique values comes up in the original array. Only provided if return_counts is True.

See also

numpy.unique

Availability:

Multiple GPUs, Multiple CPUs

Notes

Keyword arguments for optional outputs are not yet supported. axis is also not handled currently.