5 ms·
How does this compare to MLX? As far as I understand MLX is equivalent to PyTorch but optimized for Apple Silicon. Is this meant for training MLX models in a d
by leodriesch 2y ago
How does this compare to MLX? As far as I understand MLX is equivalent to PyTorch but optimized for Apple Silicon.
Is this meant for training MLX models in a distributed manner? Or what is its purpose?
- simonw 2y agoIt looks like MLX is a part of this initiative. https://github.com/apple/corenet https://github.com/apple/corenet lists "MLX examples" as one of the components being released in April.
- dagmx 2y agoJust skimming the README it looks like it’s a layer above MLX. So looks like a framework around it to ease ML
- ipsum2 2y agoIt's a layer on top of PyTorch, and it has code to translate PyTorch models into MLX.
- Mandelmus 2y agoSo, is CoreNet the equivalent of Keras, whereas MLX is the Jax/PyTorch equivalent?
- hmottestad 2y agoSounds reasonable. Apple writes the following about MLX: "The design of MLX is inspired by frameworks like NumPy, PyTorch, Jax, and ArrayFire."
- ipsum2 2y agoNot quite. The closest equivalent would be something like fairseq. It's config (yaml) driven.
- reader9274 2y agoAs mentioned in the "mlx_examples/open_elm": "MLX is an Apple deep learning framework similar in spirit to PyTorch, which is optimized for Apple Silicon based hardware."