local onnxModifier done

app.py

@@ -1,4 +1,3 @@
-import json
 from flask import Flask, render_template, request
 import onnx
 import onnxruntime as rt
@@ -8,29 +7,33 @@ app = Flask(__name__)
 def index():
     return render_template('index.html')
 
-@app.route('/download', methods=['POST'])
-def downloadModel():
-    modelNodeStates = request.get_json()
-    print(modelNodeStates)
-    return 'OK', 200
-
 @app.route('/return_file', methods=['POST'])
 def return_file():
     # https://blog.miguelgrinberg.com/post/handling-file-uploads-with-flask
     onnx_file = request.files['file']
-    # print(onnx_file.filename)
-    # print(onnx_file.stream)
-    # onnx_file.save(onnx_file.filename)
-    
+    onnx_file_name = onnx_file.filename
     onnx_file_stream = onnx_file.stream
-
-    # https://leimao.github.io/blog/ONNX-IO-Stream/
-    onnx_file_stream.seek(0)
-    model_proto_from_stream = onnx.load_model(onnx_file_stream, onnx.ModelProto)
-    model_proto_bytes = onnx._serialize(model_proto_from_stream)
-    inference_session = rt.InferenceSession(model_proto_bytes)
+    
+    
+    # onnx_file_stream.seek(0)
+    # model_proto_from_stream = onnx.load_model(onnx_file_stream, onnx.ModelProto)
+    # print(model_proto_from_stream.graph)
+    # model_proto_bytes = onnx._serialize(model_proto_from_stream)
+    # inference_session = rt.InferenceSession(model_proto_bytes)
     # onnx.save_model(model_proto_from_binary_stream, onnx_file.filename)
     
+    return 'OK', 200
+
+
+@app.route('/download', methods=['POST'])
+def modify_and_download_model():
+    # modelNodeStates = request.get_json()
+    # print(modelNodeStates)
+    
+    
+    
+    
+    
     return 'OK', 200
 
 if __name__ == '__main__':

onnx_modifier.py

@@ -0,0 +1,59 @@
+# https://leimao.github.io/blog/ONNX-Python-API/
+# https://github.com/saurabh-shandilya/onnx-utils
+
+import os
+import onnx
+
+class onnxModifier:
+    def __init__(self, model_name, model_proto):
+        self.model_name = model_name
+        self.model_proto = model_proto
+        self.graph = self.model_proto.graph
+        
+        self.gen_node_name2module_map()
+
+    def gen_node_name2module_map(self):
+        self.node_name2module = dict()
+        node_idx = 0
+        for node in self.graph.node:
+            if node.name == '':
+                node.name = str(node.op_type) + str(node_idx)
+                node_idx += 1
+
+            self.node_name2module[node.name] = node
+        
+        # print(self.node_name2module.keys())
+            
+    @classmethod
+    def from_model_path(cls, model_path):
+        model_name = os.path.basename(model_path)
+        model_proto = onnx.load(model_path)
+        return cls(model_name, model_proto)
+
+    @classmethod
+    def from_name_stream(cls, name, stream):
+        # https://leimao.github.io/blog/ONNX-IO-Stream/
+        stream.seek(0)
+        model_proto = onnx.load_model(stream, onnx.ModelProto)
+        return cls(name, model_proto)
+
+    def remove_node_by_name(self, node_name):
+        self.graph.node.remove(self.node_name2module[node_name])
+
+    def check_and_save_model(self, save_dir='./'):
+        save_path = os.path.join(save_dir, 'modified_' + self.model_name)
+        onnx.checker.check_model(self.model_proto)
+        onnx.save(self.model_proto, save_path)
+        
+        
+if __name__ == "__main__":
+    model_path = "C:\\Users\\ZhangGe\\Desktop\\squeezenet1.0-12-int8.onnx"
+    onnx_modifer = onnxModifier.from_model_path(model_path)
+    onnx_modifer.remove_node_by_name('Softmax_nc_rename_64')
+    onnx_modifer.check_and_save_model()
+    
+    
+    
+
+    
+