dpnp.tensor.sort¶
- dpnp.tensor.sort(x, /, *, axis=-1, descending=False, stable=True, kind=None)[source]¶
Returns a sorted copy of an input array x.
- Parameters:
x (usm_ndarray) -- Input array.
axis (int, optional) --
Axis along which to sort. If set to -1, the function must sort along the last axis.
Default:
-1.descending (bool, optional) --
Sort order. If True, the array must be sorted in descending order (by value). If False, the array must be sorted in ascending order (by value).
Default:
False.stable (bool, optional) --
Sort stability. If True, the returned array must maintain the relative order of x values which compare as equal. If False, the returned array may or may not maintain the relative order of x values which compare as equal.
Default:
True.kind ({None, "stable", "mergesort", "radixsort"}, optional) --
Sorting algorithm. The default is "stable", which uses parallel merge-sort or parallel radix-sort algorithms depending on the array data type.
Default:
None.
- Returns:
out -- A sorted array. The returned array has the same data type and the same shape as the input array x.
- Return type: