Closed darshanraj-intc closed 8 months ago
Hello @darshanraj-intc, thank you for reporting this issue. Conversion of the operations listed in the error message is currently unsupported by OpenVINO ONNX Frontend, but we will consider them as a feature request to be planned for future releases.
> OpenVINO does not support the following ONNX operations:
> com.microsoft.QLinearAdd, com.microsoft.QLinearConcat, com.microsoft.QLinearSigmoid
(ref. 107242)
@mitruska : Thanks for the clarification and quick response time.
OpenVINO links are misleading -> https://docs.openvino.ai/latest/openvino_docs_MO_DG_prepare_model_convert_model_onnx_specific_Convert_Mask_RCNN.html
and https://docs.openvino.ai/latest/openvino_docs_MO_DG_prepare_model_convert_model_Convert_Model_From_ONNX.html
They point to incorrect models and/or incorrect commands to run.
It would really benefit to update the documentation (at least mark those sections in document with a comment as not supported), to provide appropriate guidance to the user.
This issue will be closed in 2 weeks in case of no activity.
@kblaszczak-intel could you check a last comment of Darshan and lead internally process of fixing it, please?
This issue will be closed in a week because of 9 months of no activity.
This issue was closed because it has been stalled for 9 months with no activity.
System information (version)
OpenVINO =>
openvino-dev[caffe,mxnet,onnx,pytorch,tensorflow2] in ./openvino_env/lib/python3.10/site-packages (2022.3.0)
Operating System / Platform =>
Ubuntu 22
Compiler => NA
Problem classification:
Model Conversion
Framework:
ONNX
Model name:
MaskRCNN-12-int8.onnx
-->Problem classification => :
Detailed description
mo --version Version of Model Optimizer is: 2022.3.0-9052-9752fafe8eb-releases/2022/3
Command used
mo --input_model onnx_models/vision/object_detection_segmentation/mask-rcnn/model/MaskRCNN-12-int8.onnx
Output
Steps to reproduce
Use instruction from here to download mask-rcnn model.
Download model from https://github.com/onnx/models/tree/main/vision/object_detection_segmentation/mask-rcnn/model
Run command shown here to convert onnx model
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