adaptation to Pooling class operator interface changes

examples/model_security/model_attacks/cv/faster_rcnn/src/FasterRcnn/fpn_neck.py

@@ -89,7 +89,7 @@ class FeatPyramidNeck(nn.Cell):
         self.interpolate1 = P.ResizeNearestNeighbor((48, 80))
         self.interpolate2 = P.ResizeNearestNeighbor((96, 160))
         self.interpolate3 = P.ResizeNearestNeighbor((192, 320))
-        self.maxpool = P.MaxPool(ksize=1, strides=2, padding="same")
+        self.maxpool = P.MaxPool(kernel_size=1, strides=2, pad_mode="same")
 
     def construct(self, inputs):
         x = ()

examples/model_security/model_attacks/cv/faster_rcnn/src/FasterRcnn/resnet50.py

@@ -89,7 +89,7 @@ class ResNetFea(nn.Cell):
         self.conv1 = _conv(3, 64, kernel_size=7, stride=2, padding=3, pad_mode='pad')
         self.bn1 = _BatchNorm2dInit(64, affine=bn_training, use_batch_statistics=bn_training)
         self.relu = P.ReLU()
-        self.maxpool = P.MaxPool(ksize=3, strides=2, padding="SAME")
+        self.maxpool = P.MaxPool(kernel_size=3, strides=2, pad_mode="SAME")
         self.weights_update = weights_update
 
         if not self.weights_update: