Check 'PartialShape(shape).refines(get_partial_shape())' failed at core/src/runtime/host_tensor.cpp:

[yaswanthan]

Hi guys,

          I am trying to convert the custom efficient- det model to onnx and to change as IR (openvino) format. I am able to convert the model to onnx. But when converting to onnx to openvino, I get the error as follows 

"Check 'PartialShape(shape).refines(get_partial_shape())' failed at core/src/runtime/host_tensor.cpp:141:
Allocation shape {1} must be compatible with the partial shape: {0}"

Note: I am attaching a compressed file so you may reproduce this issue on your end (I will appreciate it!). 

Thank you and will be waiting for your reply,

[yaswanthan]

Note: I am attaching a compressed file so you may reproduce this issue on your end (I will appreciate it!). 

Thank you and will be waiting for your reply,

[Peh_Intel · Accepted solution]

Hi yaswanthan,

For your information, you can directly load ONNX model into OpenVINO™ toolkit Inference Engine without converting into Intermediate Representation (IR).

I was able to convert your ONNX model into Intermediate Representation (IR) with OpenVINO™ toolkit 2022.1.0. However, when inferencing the IR with Benchmark App, I got the same errors as you. Hence, I proceeded to infer ONNX model directly with Benchmark App but also getting the same errors.

Please have a check on your ONNX model to validate that the ONNX model itself is working fine.

Regards,

Peh

[Peh_Intel]

Hi yaswanthan,

Thank you for your question. If you need any additional information from Intel, please submit a new question as this thread is no longer being monitored.

Regards,

Peh