-aadd mirrorpad

x2paddle/op_mapper/tf_op_mapper.py

@@ -762,6 +762,29 @@ class TFOpMapper(OpMapper):
                                   output=node,
                                   param_attr=attr)
 
+    def MirrorPad(self, node):
+        input = self.graph.get_node(node.layer.input[0], copy=True)
+        paddings = self.graph.get_node(node.layer.input[1], copy=True)
+        assert paddings.layer_type == "Const", "Padding should be Const"
+        self.add_omit_nodes(paddings.layer_name, node.layer_name)
+        paddings = paddings.value.flatten().tolist()
+        mode = node.get_attr("mode").decode()
+        assert mode == "REFLECT", "Only support 'REFLECT` mode in MirrorPad"
+        if input.tf_data_format == "NHWC" and len(input.out_shapes[0]) == 4:
+            paddings = [paddings[i] for i in [0, 1, 6, 7, 2, 3, 4, 5]]
+
+        pad_op = "pad"
+        if len(input.out_shapes[0]) == 4:
+            if paddings[0] + paddings[1] + paddings[2] + paddings[3] == 0:
+                paddings = paddings[4:]
+                pad_op = "pad2d"
+        attr = {"paddings": paddings, "mode": string("reflect")}
+        node.fluid_code.add_layer(pad_op,
+                                  inputs=input,
+                                  output=node,
+                                  param_attr=attr)
+
+
     def Range(self, node):
         start = self.graph.get_node(node.layer.input[0], copy=True)
         limit = self.graph.get_node(node.layer.input[1], copy=True)