dpnp.tensor.log1p¶
- dpnp.tensor.log1p¶
Computes the natural logarithm of (1 + x) for each element x_i of input array x.
This function calculates log(1 + x) more accurately for small values of x.
- Parameters:
x (usm_ndarray) -- Input array, expected to have a floating-point data type.
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 new output array, if parameter out is
None.Default:
"K".
- Returns:
out -- An array containing the element-wise log(1 + x) results. The data type of the returned array is determined by the Type Promotion Rules.
- Return type: