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>If you find yourself writing a simulation, and you need to optimize away billions of function calls, you can use the C++ API provided by TensorFlow.

I prefer to just use Julia and get that for free. Also can write custom cuda kernels in pure Julia. And differentiate through arbitrary julia code, compose libraries that know nothing about each other etc

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Sure, that's fine. But I'm assuming GGP is talking about TensorFlow, since that's what this post is about. If you don't need TensorFlow, then this whole conversation is kinda moot, and you can use whatever you like.

Nobody needs tensorflow. That's just a kludge around the fact that python is terrible for ML.

So nobody needs TensorFlow, yet it and PyTorch are pretty much the only frameworks widely adopted for ML, and they're in Python. A quick Google search will tell you that, I don't really feel like rebutting to a baseless statement.

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