使用DCNv3_pytorch 训练的分割模型，导出onnx后，还是存在不支持的onnx node

[ZJDATY]

我是win10环境，参考这篇文章，成功训练。
#160
#201

我想使用openvino C++部署，使用onnx作为中间层转换。
使用export的教程，得到end2end.onnx
https://github.com/OpenGVLab/InternImage/tree/master/segmentation#export
转到IR模型时，遇到不支持的onnx节点。报错如下
mo --input_model end2end.onnx

[ ERROR ]  -------------------------------------------------
[ ERROR ]  ----------------- INTERNAL ERROR ----------------
[ ERROR ]  Unexpected exception happened.
[ ERROR ]  Please contact Model Optimizer developers and forward the following information:
[ ERROR ]  Check 'error_message.empty()' failed at src\frontends\onnx\frontend\src\frontend.cpp:124:
OpenVINO does not support the following ONNX operations: mmdeploy.TRTDCNv3, mmdeploy.TRTDCNv3, mmdeploy.TRTDCNv3, mmdeploy.TRTDCNv3, mmdeploy.TRTDCNv3, mmdeploy.TRTDCNv3, mmdeploy.TRTDCNv3, mmdeploy.TRTDCNv3, mmdeploy.TRTDCNv3, mmdeploy.
TRTDCNv3, mmdeploy.TRTDCNv3, mmdeploy.TRTDCNv3, mmdeploy.TRTDCNv3, mmdeploy.TRTDCNv3, mmdeploy.TRTDCNv3, mmdeploy.TRTDCNv3, mmdeploy.TRTDCNv3, mmdeploy.TRTDCNv3, mmdeploy.TRTDCNv3, mmdeploy.TRTDCNv3, mmdeploy.TRTDCNv3, mmdeploy.TRTDCNv3,
 mmdeploy.TRTDCNv3, mmdeploy.TRTDCNv3, mmdeploy.TRTDCNv3, mmdeploy.TRTDCNv3, mmdeploy.TRTDCNv3, mmdeploy.TRTDCNv3, mmdeploy.TRTDCNv3, mmdeploy.TRTDCNv3, mmdeploy.TRTDCNv3, mmdeploy.TRTDCNv3, mmdeploy.TRTDCNv3, mmdeploy.TRTDCNv3, mmdeploy
.TRTDCNv3, mmdeploy.TRTDCNv3, mmdeploy.TRTDCNv3

继而发现了这个issues。
#61

接着 参考了下面这篇issues的回复，修改core_op='DCNv3_pytorch',
#41

报错如下，不支持的节点 由 mmdeploy.TRTDCNv3 ，变为了 mmdeploy.grid_sampler，想请教一下cpu推理不build mmdeploy后端，怎么使用？

[ ERROR ]  -------------------------------------------------
[ ERROR ]  ----------------- INTERNAL ERROR ----------------
[ ERROR ]  Unexpected exception happened.
[ ERROR ]  Please contact Model Optimizer developers and forward the following information:
[ ERROR ]  Check 'error_message.empty()' failed at src\frontends\onnx\frontend\src\frontend.cpp:124:
OpenVINO does not support the following ONNX operations: mmdeploy.grid_sampler, mmdeploy.grid_sampler, mmdeploy.grid_sampler, mmdeploy.grid_sampler, mmdeploy.grid_sampler, mmdeploy.grid_sampler, mmdeploy.grid_sampler, mmdeploy.grid_sampl
er, mmdeploy.grid_sampler, mmdeploy.grid_sampler, mmdeploy.grid_sampler, mmdeploy.grid_sampler, mmdeploy.grid_sampler, mmdeploy.grid_sampler, mmdeploy.grid_sampler, mmdeploy.grid_sampler, mmdeploy.grid_sampler, mmdeploy.grid_sampler, mmd
eploy.grid_sampler, mmdeploy.grid_sampler, mmdeploy.grid_sampler, mmdeploy.grid_sampler, mmdeploy.grid_sampler, mmdeploy.grid_sampler, mmdeploy.grid_sampler, mmdeploy.grid_sampler, mmdeploy.grid_sampler, mmdeploy.grid_sampler, mmdeploy.g
rid_sampler, mmdeploy.grid_sampler, mmdeploy.grid_sampler, mmdeploy.grid_sampler, mmdeploy.grid_sampler, mmdeploy.grid_sampler, mmdeploy.grid_sampler, mmdeploy.grid_sampler, mmdeploy.grid_sampler

[tzhang2014]

在导出onnx时把opset 那个设为16或以上就可以了

[ZJDATY]

在导出onnx时把opset 那个设为16或以上就可以了

你好，你测试成功了吗？你可以帮忙打印一下 pip list吗？ 我本身安装的就是新版本的onnx 和onnx_runtime. 但是当我把默认导出的opset_version由11改为16时，它会提示不支持。

是否可能是mmdeploy的版本较老。

[tzhang2014]

我的onnx是1.14.0 ，onnxruntime是1.16.1