fix inference fail when protobuf size larger than 2GB

Signed-off-by: inisis <desmond.yao@buaa.edu.cn>

Author: inisis

tools/onnx-graphsurgeon/onnx_graphsurgeon/ir/graph.py

@@ -1245,12 +1245,31 @@ def should_eval_foldable(tensor):
             else:
                 names = [t.name for t in graph_clone.outputs]
                 try:
+                    import os
+                    import tempfile
+                    import onnx
                     import onnxruntime as onnxrt
 
+                    onnx_model = export_onnx(graph_clone, do_type_check=False)
+                    if onnx_model.ByteSize() >= onnx.checker.MAXIMUM_PROTOBUF:
+                        tmp_dir = tempfile.TemporaryDirectory()
+                        tmp_path = os.path.join(tmp_dir.name, "tmp.onnx")
+                        location = os.path.basename(tmp_path) + ".data"
+                        if os.path.exists(location):
+                            os.remove(location)
+                        onnx.save(
+                            onnx_model,
+                            tmp_path,
+                            save_as_external_data=True,
+                            all_tensors_to_one_file=True,
+                            location=location,
+                        )
+                        onnx_model = tmp_path
+                    else:
+                        onnx_model = onnx_model.SerializeToString()
+
                     sess = onnxrt.InferenceSession(
-                        export_onnx(
-                            graph_clone, do_type_check=False
-                        ).SerializeToString(),
+                        onnx_model,
                         providers=ORT_PROVIDERS,
                     )
                     values = sess.run(names, {})