fix the tf

x2paddle/decoder/tf_decoder.py

@@ -361,6 +361,8 @@ class TFDecoder(object):
                 continue
             graph_node = TFGraphNode(layer)
             dtype = graph_node.layer.attr['dtype'].type
+            if dtype == 10:
+                continue
 
             need_define_shape = 0
             if self.define_input_shape:

x2paddle/op_mapper/dygraph/tf2paddle/tf_op_mapper.py

@@ -676,7 +676,7 @@ class TFOpMapper(OpMapper):
         input = self.graph.get_input_node(node, 0)
         paddings = self.graph.get_input_node(node, 1)
         assert paddings.layer_type == "Const", "Padding should be Const"
-        paddings = np.flip(paddings.value, 0).flatten().tolist()
+        paddings = numpy.flip(paddings.value, 0).flatten().tolist()
         dim = int(len(paddings) / 2)
         transpose_name = gen_name("pad", "transpose")
         self.paddle_graph.add_layer(

x2paddle/op_mapper/static/tf2paddle/tf_op_mapper.py

@@ -661,7 +661,7 @@ class TFOpMapper(OpMapper):
         input = self.graph.get_input_node(node, 0)
         paddings = self.graph.get_input_node(node, 1)
         assert paddings.layer_type == "Const", "Padding should be Const"
-        paddings = np.flip(paddings.value, 0).flatten().tolist()
+        paddings = numpy.flip(paddings.value, 0).flatten().tolist()
         transpose_name = gen_name("pad", "transpose")
         self.paddle_graph.add_layer(
             kernel="paddle.transpose",