nanmean is not oficiall method of ndarray

cunumeric/array.py

@@ -3179,30 +3179,14 @@ def mean(
             return sum_array
 
     @add_boilerplate()
-    def nanmean(
+    def _nanmean(
         self,
         axis: Any = None,
         dtype: Union[np.dtype[Any], None] = None,
         out: Union[ndarray, None] = None,
         keepdims: bool = False,
         where: Union[ndarray, None] = None,
     ) -> ndarray:
-        """a.mean(axis=None, dtype=None, out=None, keepdims=False)
-
-        Returns the average of the array elements along given axis,
-        ignoring NaN entires
-
-        Refer to :func:`cunumeric.mean` for full documentation.
-
-        See Also
-        --------
-        cunumeric.nanmean : equivalent function
-
-        Availability
-        --------
-        Multiple GPUs, Multiple CPUs
-
-        """
         from . import _ufunc
 
         if np.issubdtype(dtype, np.integer) or np.issubdtype(dtype, np.bool_):

cunumeric/module.py

@@ -7117,7 +7117,7 @@ def nanmean(
     --------
     Multiple GPUs, Multiple CPUs
     """
-    return a.nanmean(
+    return a._nanmean(
         axis=axis, dtype=dtype, out=out, keepdims=keepdims, where=where
     )