updatea

x2paddle/decoder/onnx_decoder.py

@@ -241,7 +241,6 @@ class ONNXDecoder(object):
                 model.opset_import[0].version)
         check_model(model)
 
-        #         model = convert_version(model, 10)
         model = polish_model(model)
 
         model = self.optimize_model_skip_op_for_inference(model)

x2paddle/op_mapper/onnx_op_mapper.py

@@ -49,6 +49,12 @@ class ONNXOpMapper(OpMapper):
             raise Exception("Model are not supported yet.")
 
         #mapping op
+
+        print("Total nodes: {}".format(
+            sum([
+                isinstance(node, ONNXGraphNode)
+                for name, node in self.graph.node_map.items()
+            ])))
         for node_name in self.graph.topo_sort:
             node = self.graph.get_node(node_name)
             op = node.layer_type

x2paddle_model_zoo.md

@@ -27,7 +27,6 @@
 | mNASNet | [code](https://github.com/LiJianfei06/MnasNet-caffe) |
 | MTCNN | [code](https://github.com/kpzhang93/MTCNN_face_detection_alignment/tree/master/code/codes/MTCNNv1/model) |
 
-
 # ONNX
 
 | 模型 | 来源 | operator version|
@@ -44,7 +43,6 @@
 | Shufflenet | [onnx official](https://github.com/onnx/models/tree/master/vision/classification/shufflenet) |9|
 | Inception_v2 | [onnx official](https://github.com/onnx/models/tree/master/vision/classification/inception_and_googlenet/inception_v2) |9|
 
-
 目前onnx2paddle主要支持onnx operator version 9，关于如何使用torchvison的model:
 ```
 import torch