@@ -1390,6 +1390,49 @@ def dpnp_multiply(x1, x2, out=None, order="K"):
13901390 return dpnp_array ._create_from_usm_ndarray (res_usm )
13911391
13921392
1393+ _negative_docstring = """
1394+ negative(x, out=None, order="K")
1395+
1396+ Computes the numerical negative for each element `x_i` of input array `x`.
1397+
1398+ Args:
1399+ x (dpnp.ndarray):
1400+ Input array, expected to have numeric data type.
1401+ out ({None, dpnp.ndarray}, optional):
1402+ Output array to populate.
1403+ Array have the correct shape and the expected data type.
1404+ order ("C","F","A","K", optional):
1405+ Memory layout of the newly output array, if parameter `out` is `None`.
1406+ Default: "K".
1407+ Returns:
1408+ dpnp.ndarray:
1409+ An array containing the negative of `x`.
1410+ """
1411+
1412+
1413+ negative_func = UnaryElementwiseFunc (
1414+ "negative" , ti ._negative_result_type , ti ._negative , _negative_docstring
1415+ )
1416+
1417+
1418+ def dpnp_negative (x , out = None , order = "K" ):
1419+ """Invokes negative() from dpctl.tensor implementation for negative() function."""
1420+
1421+ # TODO: discuss with dpctl if the check is needed to be moved there
1422+ if not dpnp .isscalar (x ) and x .dtype == dpnp .bool :
1423+ raise TypeError (
1424+ "DPNP boolean negative, the `-` operator, is not supported, "
1425+ "use the `~` operator or the logical_not function instead."
1426+ )
1427+
1428+ # dpctl.tensor only works with usm_ndarray
1429+ x1_usm = dpnp .get_usm_ndarray (x )
1430+ out_usm = None if out is None else dpnp .get_usm_ndarray (out )
1431+
1432+ res_usm = negative_func (x1_usm , out = out_usm , order = order )
1433+ return dpnp_array ._create_from_usm_ndarray (res_usm )
1434+
1435+
13931436_not_equal_docstring_ = """
13941437not_equal(x1, x2, out=None, order="K")
13951438
@@ -1525,6 +1568,51 @@ def dpnp_right_shift(x1, x2, out=None, order="K"):
15251568 return dpnp_array ._create_from_usm_ndarray (res_usm )
15261569
15271570
1571+ _sign_docstring = """
1572+ sign(x, out=None, order="K")
1573+
1574+ Computes an indication of the sign of each element `x_i` of input array `x`
1575+ using the signum function.
1576+
1577+ The signum function returns `-1` if `x_i` is less than `0`,
1578+ `0` if `x_i` is equal to `0`, and `1` if `x_i` is greater than `0`.
1579+
1580+ Args:
1581+ x (dpnp.ndarray):
1582+ Input array, expected to have numeric data type.
1583+ out ({None, dpnp.ndarray}, optional):
1584+ Output array to populate.
1585+ Array have the correct shape and the expected data type.
1586+ order ("C","F","A","K", optional):
1587+ Memory layout of the newly output array, if parameter `out` is `None`.
1588+ Default: "K".
1589+ Returns:
1590+ dpnp.ndarray:
1591+ An array containing the element-wise results. The data type of the
1592+ returned array is determined by the Type Promotion Rules.
1593+ """
1594+
1595+
1596+ sign_func = UnaryElementwiseFunc (
1597+ "sign" , ti ._sign_result_type , ti ._sign , _sign_docstring
1598+ )
1599+
1600+
1601+ def dpnp_sign (x , out = None , order = "K" ):
1602+ """Invokes sign() from dpctl.tensor implementation for sign() function."""
1603+
1604+ # TODO: discuss with dpctl if the check is needed to be moved there
1605+ if not dpnp .isscalar (x ) and x .dtype == dpnp .bool :
1606+ raise TypeError ("DPNP boolean sign is not supported." )
1607+
1608+ # dpctl.tensor only works with usm_ndarray
1609+ x1_usm = dpnp .get_usm_ndarray (x )
1610+ out_usm = None if out is None else dpnp .get_usm_ndarray (out )
1611+
1612+ res_usm = sign_func (x1_usm , out = out_usm , order = order )
1613+ return dpnp_array ._create_from_usm_ndarray (res_usm )
1614+
1615+
15281616_sin_docstring = """
15291617sin(x, out=None, order='K')
15301618Computes sine for each element `x_i` of input array `x`.
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