onn2bnn:terminate called after throwing an instance of 'std::out_of_range' what(): _Map_base::at Aborted (core dumped)

[wayy13]

terminate called after throwing an instance of 'std::out_of_range' what(): _Map_base::at Aborted (core dumped)

[xvyaward]

hi, did you solve your problem? I am facing the same issue.

[hebangwen]

Hi, sorry to bother you, but I'd like to ask if you have solved this problem. I'm also facing the same problem but don't know where to start. It would be very appreciated if you can give me some suggestions.

[hebangwen]

Hi, all. I've checked the pretrained models from README.md and found three attributes in the model properties: format-ONNXv3, producer-pytorch0.3, and imports-ai.onnxv6. Thus, the easiest way to use DABNN without this error is to downgrade your PyTorch version to 0.3. Or else, you need to fix the version incompatible bug between DABNN and ONNX.

[travisdriver]

@BangwenHe This fixed it for me, thank you! Specifically, I used pytorch 0.4.1 and python 3.7.