we have a model file trained with pytorch python api and deployed offline in client’s computer with libtorch c++ api to do inference, to prevent our competitors to use our model to produce exactly the same result, we need to encrypt the model, that is, the model file can only infered with a given password in the program, rather than just loading the model and pass the picture and get a result
how can we manage to do this, thanks!