google.protobuf.message.DecodeError: Error parsing message with type 'tensorflow.GraphDef' about nn-meter

[JiahangXu]

Hi, thanks for using nn-Meter! In command line, the file format need to be specified before the file name. You can try ... --onnx mobilenetv3small_0.onnx instead of ... --tensorflow mobilenetv3small_0.onnx. The whole command line should be nn-meter predict --predictor cortexA76cpu_tflite21 --predictor-version 1.0 --onnx mobilenetv3small_0.onnx. Similarly, the prediction of json file should be nn-meter predict --predictor cortexA76cpu_tflite21 --nn-meter-ir mobilenetv3small_0.json.

We have noticed that the example command in README is wrong. We're sorry for that. The README command will be fixed soon.

[howardgriffin]

It does.
And I have another question: the json model and the pb model have the same latency, but the onnx model seems to have different latency from the json and pb model of the same hardware. How can this be explained？

[JiahangXu]

Thanks for raising this question! It's a bug in onnx model parser and we have fixed the bug in PR #60. Now the onnx model latency is 11.842ms. The slight gap between onnx model and json & pb model is caused by the different implementation of onnx model and pb model.