fix example error of HostReduceScatter

mindspore/ops/operations/comm_ops.py

@@ -191,8 +191,7 @@ class HostAllGather(PrimitiveWithInfer):
 
     Raises:
         TypeError: If group is not a list nor tuple, or elements of group are not int.
-        ValueError: If the local rank id of the calling process not in group,
-                    or rank_id from group not in [0, 7].
+        ValueError: If group is not set, or rank_id from group not in [0, 7].
 
     Inputs:
         - **input_x** (Tensor) - The shape of tensor is :math:`(x_1, x_2, ..., x_R)`.
@@ -281,7 +280,7 @@ class ReduceScatter(PrimitiveWithInfer):
         >>>     def construct(self, x):
         >>>         return self.reducescatter(x)
         >>>
-        >>> input_ = Tensor(np.ones([2, 8]).astype(np.float32))
+        >>> input_ = Tensor(np.ones([8, 8]).astype(np.float32))
         >>> net = Net()
         >>> output = net(input_)
     """
@@ -327,8 +326,8 @@ class HostReduceScatter(PrimitiveWithInfer):
     Raises:
         TypeError: If op is not a string and group is not a list nor tuple,
                    or elements of group are not int.
-        ValueError: If the first dimension of input can not be divided by rank size,
-                    or group is not set, or rank_id not in [1, 7].
+        ValueError: If the first dimension of input can not be divided by group size,
+                    or group is not set, or rank_id not in [0, 7].
 
     Examples:
         >>> import mindspore.nn as nn
@@ -348,7 +347,7 @@ class HostReduceScatter(PrimitiveWithInfer):
         >>>     def construct(self, x):
         >>>         return self.hostreducescatter(x)
         >>>
-        >>> input_ = Tensor(np.ones([2, 8]).astype(np.float32))
+        >>> input_ = Tensor(np.ones([8, 8]).astype(np.float32))
         >>> net = Net()
         >>> output = net(input_)
     """