dpctl.tensor.logaddexp¶
- dpctl.tensor.logaddexp¶
logaddexp(x1, x2, /, *, out=None, order=’K’)
Calculates the natural logarithm of the sum of exponentials for each element x1_i of the input array x1 with the respective element x2_i of the input array x2.
This function calculates log(exp(x1) + exp(x2)) more accurately for small values of x.
- Parameters:
x1 (usm_ndarray) – First input array, expected to have a real-valued floating-point data type.
x2 (usm_ndarray) – Second input array, also expected to have a real-valued floating-point data type.
out (Union[usm_ndarray, None], optional) – Output array to populate. Array must have the correct shape and the expected data type.
order ("C","F","A","K", optional) – Memory layout of the new output array, if parameter out is
None. Default: “K”.
- Returns:
An array containing the element-wise results. The data type of the returned array is determined by the Type Promotion Rules.
- Return type: