Getting Lite Interpreter

[JosephKKim]

Hello thank you for the nice work you provided.
I am currently working on a project that uses yolo on android device...
I was so happy to find out these examples but somehow, it doesn't work on my environment.
Since I am new to android, even though I have experiences in PyTorch, it is hard to fix the code..
I am keep getting the error starts with
java.lang.RuntimeException: Unable to start activity ComponentInfo{org.pytorch.demo.objectdetection/org.pytorch.demo.objectdetection.MainActivity}: com.facebook.jni.CppException: Lite Interpreter verson number does not match. The model version must be between 3 and 5But the model version is 7 () Exception raised from parseMethods at ../torch/csrc/jit/mobile/import.cpp:320 (most recent call first):

I can guess that this error is from LiteModuleLoader.. but have no idea how to fix it and the meaning of the interpreter version.
I would be glad if I get an answer thanks! :)

[Michael97]

I have the same issue. I follow the steps exactly, use their own model and get this error.

[Treshank]

Any fix/workarounds found?

[JosephKKim]

@Treshank No I am making this issue just to let author know this codes are not working properly...

[Treshank]

Same issue also in TorchVideo as well.

[andreanne-lemay]

I am getting the same issue as well.

[JosephKKim]

@Treshank @andreanne-lemay
Okay... Let's see if author is still working on this git repository...!

[Michael97]

I've tried resetting my local repo to this commit - cd35a009ba964331abccd30f6fa0614224105d39 as suggested but it doesn't exist (as far as I can see).

[Treshank]

@Michael97, i think they mean in model making, try setting the yolov5 repo to that, if you are using a custom model. I guess it doesn't apply to you otherwise

[Michael97]

Ah yeah, that makes sense. I'm using the provided one right now, well at least trying to use it.

[Treshank]

I tried it @Michael97, no luck..

[Treshank]

The last git version that is sorta working for me is #141. It uses older PyTorch, still yet to test with custom model.

[Treshank]

I can't seem to be able to use my trained model with #141. If anyone has been able use/train a model, some instructions would be great

[stefan-falk]

Any news on this issue? @Treshank were you able to fix this?

[andreanne-lemay]

@Treshank @stefan-falk I was able to run my custom model (classification densenet) without the version number error by reverting to the commit @Treshank indicated (#141) on the HelloWorld demo. This also implicates going back to

    implementation 'org.pytorch:pytorch_android:1.8.0'
    implementation 'org.pytorch:pytorch_android_torchvision:1.8.0'