@@ -516,6 +516,8 @@ def _get_accumulation_res_dt(a, dtype, _out):
516516 Second input array, also expected to have a real-valued
517517 floating-point data type.
518518 Both inputs `x1` and `x2` can not be scalars at the same time.
519+ If ``x1.shape != x2.shape``, they must be broadcastable to a common shape
520+ (which becomes the shape of the output).
519521out : {None, dpnp.ndarray, usm_ndarray}, optional
520522 Output array to populate.
521523 Array must have the correct shape and the expected data type.
@@ -1198,6 +1200,8 @@ def cumlogsumexp(
11981200x2 : {dpnp.ndarray, usm_ndarray, scalar}
11991201 Second input array, also expected to have a real-valued data type.
12001202 Both inputs `x1` and `x2` can not be scalars at the same time.
1203+ If ``x1.shape != x2.shape``, they must be broadcastable to a common shape
1204+ (which becomes the shape of the output).
12011205out : {None, dpnp.ndarray, usm_ndarray}, optional
12021206 Output array to populate.
12031207 Array must have the correct shape and the expected data type.
@@ -1503,6 +1507,8 @@ def cumlogsumexp(
15031507 Second input array, also expected to have a real-valued
15041508 floating-point data type.
15051509 Both inputs `x1` and `x2` can not be scalars at the same time.
1510+ If ``x1.shape != x2.shape``, they must be broadcastable to a common shape
1511+ (which becomes the shape of the output).
15061512out : {None, dpnp.ndarray, usm_ndarray}, optional
15071513 Output array to populate.
15081514 Array must have the correct shape and the expected data type.
@@ -1575,6 +1581,8 @@ def cumlogsumexp(
15751581 Second input array, also expected to have a real-valued
15761582 floating-point data type.
15771583 Both inputs `x1` and `x2` can not be scalars at the same time.
1584+ If ``x1.shape != x2.shape``, they must be broadcastable to a common shape
1585+ (which becomes the shape of the output).
15781586out : {None, dpnp.ndarray, usm_ndarray}, optional
15791587 Output array to populate.
15801588 Array must have the correct shape and the expected data type.
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