Unable to successfully convert retinanet R50

[NTUTshaofong]

Traceback (most recent call last):
File "/home/li/testcode/tool2/convert_dataloader.py", line 490, in
fp_model = copy.deepcopy(convert(onnx_model).to(device))

File "/home/li/.local/lib/python3.6/site-packages/onnx2torch/converter.py", line 107, in convert
version=version,
File "/home/li/.local/lib/python3.6/site-packages/onnx2torch/node_converters/registry.py", line 69, in get_converter
raise NotImplementedError(f'Converter is not implemented ({description})')
NotImplementedError: Converter is not implemented (OperationDescription(domain='', operation_type='NonZero', version=13))

I tried changing the opset but apparently it doesn't support non-zero operators. Can you tell me the details of the method the authors originally tested ? thanks

[andreysher]

Hi @NTUTshaofong, we test convertion on the model retinanet_r50_fpn from the MMDetection framework. You can find it in our tests. You can also download our ONNX by the following link.

Can you please provide the details about your checkpoint?