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Step-by-step instructions on how to run PyTorch, TensorFlow, and JAX on your Mac. If you have an Apple computer (M1, M2, or M3), this video will make you happy.

Santiago

452,306 subscribers

138,735 views • 2 years ago •via X (Twitter)

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10 Comments

Santiago2 years ago

If you prefer to watch it on YouTube, here is the link: How to run PyTorch, TensorFlow, and JAX on your Mac (Apple Silicon)

Ravi | ML Engineer2 years ago

you're making me want to switch to Apple lol

Vasco2 years ago

I’ve given this a go and it seems much slower on my M1 Pro than cpu. Are there any common things I should debug for this? Ty for any help my thesis dl is coming up 😬

Phil2 years ago

Great Demo 👏👏.

Evan2 years ago

Thank you!

Doug Devine2 years ago

tensorflow-metal apparently doesn't work in newer versions of Python (3.11 or 3.12).

E. Gozcu2 years ago

I am replacing my M1 with an Alienware. Unfortunately Apple is not the right platform for Machine Learning; so many libraries simply can't be built on it. Tensorflow, on the other hand, is not working directly on Windows; WSL will do the work.

Zak2 years ago

@Johntradzz

stellarstrain2 years ago

My nvidia chip is slow!!

James Sizwe Ndabeni2 years ago

good content

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