Workaround for uploading model into Model Inference with OpenVINO™ API Jupyter Notebook in DL Workbench.
Encountered when converting model in Model Inference with OpenVINO™ API Jupyter Notebook:
[ ERROR ] Exception occurred during running replacer "REPLACEMENT_ID (<class 'openvino.tools.mo.load.caffe.loader.CaffeLoader'>)": Descriptors cannot not be created directly.
If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0.
If you cannot immediately regenerate your protos, some other possible workarounds are:
- Downgrade the protobuf package to 3.20.x or lower.
- Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower).
- Download and convert the model into Intermediate Representation (IR) format independently using OpenVINO™ Development Tools instead of DL Workbench.
- Upload the IR model into DL Workbench.
- Copy the path for the .xml and .bin file into the Model Inference with OpenVINO™ API Jupyter Notebook.