dpnp.tensor.clip¶
- dpnp.tensor.clip(x, /, min=None, max=None, out=None, order='K')[source]¶
Clips to the range [min_i, max_i] for each element x_i in x.
- Parameters:
x (usm_ndarray) -- Array containing elements to clip. Must be compatible with min and max according to broadcasting rules.
min ({None, usm_ndarray, bool, int, float, complex}, optional) --
Array containing minimum values. Must be compatible with x and max according to broadcasting rules.
Default:
None.max ({None, usm_ndarray, bool, int, float, complex}, optional) --
Array containing maximum values. Must be compatible with x and min according to broadcasting rules.
Default:
None.out ({None, usm_ndarray}, optional) --
Output array to populate. Array must have the correct shape and the expected data type.
Default:
None.order ({"C", "F", "A", "K"}, optional) --
Memory layout of the newly output array, if parameter out is None.
Default:
"K".
- Returns:
out -- An array with elements clipped to the range [min, max]. The returned array has the same data type as x.
- Return type: