Hey with the rate with how bad and repetitive music is getting it might replace it in some instances.

I go eat food.

You could use Libtorch to interact with Python trained models in C++. Don’t expect an easy Onnx runtime but it’s something to work with.

What about something like Codon that compiles the Python Code?

Most of the ML libraries use mostly C++, we just use Python as an interface to make it easier to code and deploy. So really you are using C++ code.

Also PyTorch is a tensor computing library so of course you can only use tensors in Neural Networks.

It’s not gonna be simple text classifier.

>I think using python instead of strongly typed languages does not really help it either.

The things is that most of the framework was implemented in C++ (63.2% according to GitHub). There is a ton of memory bugs caused with how difficult it is to manage memory.

That's why Google has been experimenting with C++ alternative so they can secure their new OS's they want to come out with and it may probably trickle down to TensorFlow to fix the bugs.

I know it's more "cool" to use PyTorch, however they are practically performing very similar math and should get very similar results. This is if you decide to train something from scratch. What's more important is the person using the tool rather than just the tools themselves.

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Edit: Also their VGG16 weights are probably going to be different than Tensorflow's, so it isn't an accurate representation. You should try a model trained from scratch.