Unable to convert Xfeat model from openvino IR to MYRIAD blob format

Encountered the following error when using the Luxonis Blob Converter:

Error message

Command failed with exit code 1, command: /opt/intel/openvino2022_1/tools/compile_tool/compile_tool -m /tmp/blobconverter/3f906014c1884ed98dfb21e91a4307d7/xfeat/FP16/xfeat.xml -o /tmp/blobconverter/3f906014c1884ed98dfb21e91a4307d7/xfeat/FP16/xfeat.blob -c /tmp/blobconverter/3f906014c1884ed98dfb21e91a4307d7/myriad_compile_config.txt -d MYRIAD

Console output (stdout)

OpenVINO Runtime version ......... 2022.1.0

Build ........... 2022.1.0-7019-cdb9bec7210-releases/2022/1

Error output (stderr)

Cannot create Interpolate layer /Resize id:3 from unsupported opset: opset11

However, if i set opset = opset10 when exporting to onnx, I will get the following error:
torch.onnx.errors.SymbolicValueError: Unsupported: ONNX export of index_put in opset 9. Please try opset version 11. [Caused by the value '488 defined in (%488 : Long(*, *, *, strides=[1638, 2, 1], requires_grad=0, device=cpu) = onnx::ReduceSumaxes=[1], keepdims=0, scope: modules.xfeat.XFeat:: # /home/qilong/Dev/feature_tracking_with_xfeat/accelerated_features/modules/xfeat.py:326:0

)' (type 'Tensor') in the TorchScript graph. The containing node has kind 'onnx::ReduceSum'.]

Is there a way to get around this?

jakaskerl I guess it is not supported in blob converter from opset11 onwards, so I still got the same error

Hi jakaskerl

I am converting it to ONNX and then Openvino IR. I have tried using the ONNX representation, it did not work as well.

Hi jakaskerl

I've tried these methods and still did not work, my guess is that resize and many other ops are at version 11, since opset 11 updated many ops to version 11, the only way out is adding support for opset 11 onwards.

Hi just an update jakaskerl

I've discovered some operations in the network that results in outputs of variable shape(not static), maybe that is the part that went wrong, I'll try to debug from there.