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转换成onnx用c++会报错 #4

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@Jialeen

我自己转换模型,然后用c++实现前向会报错:
Non-zero status code returned while running Split node. Name:'/roi_heads/Split_3' Status Message: Cannot split using values in 'split' attribute. Axis=0 Input shape={240,7} NumOutputs=1 Num entries in 'split' (must equal number of outputs) was 1 Sum of sizes in 'split' (must equal size of selected axis) was 256
Traceback (most recent call last):
File "/home/yujl/train_projects/Detic/demo_onnx.py", line 166, in
preds = mynet.detect(srcimg)
File "/home/yujl/train_projects/Detic/demo_onnx.py", line 143, in detect
pred_boxes, pred_classes, scores, _ = self.session.run(None, {self.input_name: input_image})
File "/home/yujl/anaconda3/envs/yujl_envs/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 220, in run
return self._sess.run(output_names, input_feed, run_options)
onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running Split node. Name:'/roi_heads/Split_3' Status Message: Cannot split using values in 'split' attribute. Axis=0 Input shape={240,7} NumOutputs=1 Num entries in 'split' (must equal number of outputs) was 1 Sum of sizes in 'split' (must equal size of selected axis) was 256

onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running Split node. Name:'/roi_heads/Split_3' Status Message: Cannot split using values in 'split' attribute. Axis=0 Input shape={240,7} NumOutputs=1 Num entries in 'split' (must equal number of outputs) was 1 Sum of sizes in 'split' (must equal size of selected axis) was 256

请问下你这是怎么转的?
谢谢

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