Qi comments

Results 5 comments of

Qi

torch.onnx.export RuntimeError: Unsupported: ONNX export of Pad in opset 9. The sizes of the padding must be constant.

> Environment: GTX 3090 torch1.7.0+cu110 torchvision0.8.1 python3.8 > > File: if **name** == '**main**': # main() img_l = torch.randn(1,3,512,256).cuda() img_r = torch.randn(1,3,512,256).cuda() f = r"../results/pretrained_anynet/checkpoint.tar" checkpoint = torch.load(f) checkpoint['state_dict'] =...

torch.onnx.export RuntimeError: Unsupported: ONNX export of Pad in opset 9. The sizes of the padding must be constant.

> > Hi, @tony-laoshi. I use images from the evaluation, but the `Floating point exception (core dumped)` exception was raised. So I want to ask you whether you have finished...

torch.onnx.export RuntimeError: Unsupported: ONNX export of Pad in opset 9. The sizes of the padding must be constant.

@BangwenHe I performed an inference test with the exported model. The inference engine I used is **ONNX Runtime**. The tests were performed in python and C++. The results in Python...

torch.onnx.export RuntimeError: Unsupported: ONNX export of Pad in opset 9. The sizes of the padding must be constant.

I solved this bug. The bug is in the post-processing of convert to cv::Mat after getting mutable data. I found a similar https://github.com/microsoft/onnxruntime/issues/11677#issuecomment-1143048647, and successfully solved the bug under his...

torch.onnx.export RuntimeError: Unsupported: ONNX export of Pad in opset 9. The sizes of the padding must be constant.

> > Hi, @tony-laoshi. I use images from the evaluation, but the `Floating point exception (core dumped)` exception was raised. So I want to ask you whether you have finished...