add globalbn for vm

mindspore/nn/layer/normalization.py

@@ -156,6 +156,10 @@ class _BatchNorm(Cell):
                 axes, re_shape = _shape_infer(F.shape(x), self.num_features)
                 y = self._global_sync(x, axes, re_shape)
             elif self.is_graph_mode and (self.is_ge_backend or self.is_ascend):
+                if self.is_global:
+                    axes, re_shape = _shape_infer(F.shape(x), self.num_features)
+                    y = self._global_sync(x, axes, re_shape)
+                else:
                     y, batch_mean, batch_var, _, _ = \
                         self.bn_train(x,
                                       self.gamma,

mindspore/nn/layer/pooling.py

@@ -184,7 +184,7 @@ class AvgPool2d(_PoolNd):
         Tensor of shape :math:`(N, C_{out}, H_{out}, W_{out})`.
 
     Examples:
-        >>> pool = nn.AvgPool2d(kernel_size=3, strides=1)
+        >>> pool = nn.AvgPool2d(kernel_size=3, stride=1)
         >>> x = Tensor(np.random.randint(0, 10, [1, 2, 4, 4]), mindspore.float32)
         [[[[5. 5. 9. 9.]
             [8. 4. 3. 0.]