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                                            lewis

torch.onnx support

Quite interested in this topic, any existing module need tackling ? @samvanstroud 's proposition is inspiring.

onnxruntime/capi/onnxruntime_inference_collection.py", line 370, in _create_inference_session sess = C.InferenceSession(session_options, self._model_path, True, self._read_config_from_model) onnxruntime.capi.onnxruntime_pybind11_state.InvalidProtobuf: [ONNXRuntimeError] : 7 : INVALID_PROTOBUF : Load model from onnx_data/cpm_large_opt.onnx failed:Protobuf parsing failed.

> @snnn that would be strange. As I shown above, I can read the onnx normal and prints it's information. Shouldn't be protobuf problem. > > I think the reason...

How can I convert a torch model with mmcv::DeformConv2dPack to onnx or tensorRT?

Hi @busyyang You may try assigning opset_version, what's your current opset for onnx exportation ? I can export with opset_version=13. Best, Lewis

评价指标报错

Hi there, Could you please check the version of torchmetrics using pip list | grep torchmetrics. As far as I know, Metrics has deprecate the compute_on_step parameter from certain version....