[M1] Mac M1 pytorch GPU ์‚ฌ์šฉํ•˜๊ธฐ
ยท
๐Ÿ’ป Mac
% Pytorch 1.12.0 ์ด์ƒ์˜ ๋ฒ„์ „์—์„œ mps๋ฅผ ์ง€์›ํ•œ๋‹ค. import torch device = torch.device(device='mps') # model.to(device) print(torch.backends.mps.is_available()) True M1 ํ™œ์„ฑ ์ƒํƒœ ๋ณด๊ธฐ Spolite ๊ฒ€์ƒ‰ -> ํ™œ์„ฑ ์ƒํƒœ ๋ณด๊ธฐ -> GPU ๊ธฐ๋ก(cmd+4)
[Macbook pro m1] Help Note
ยท
๐Ÿ’ป Mac
๋งฅ๋ถ - Help 11.30 ๋งฅ๋ถ ํ”„๋กœ ๋„์ฐฉ VSCODE ์„ค์น˜ Tensor flow ์„ค์น˜ ๋ฐ ์—…๊ทธ๋ ˆ์ด๋“œ(https://developer.apple.com/metal/tensorflow-plugin/) ๋งฅ ๋‹จ์ถ•ํ‚ค ( https://support.apple.com/ko-kr/HT201236 ) Opt + com + esc ์ฐฝ ๊ฐ•์ œ ์ข…๋ฃŒ Com + tab + q Brew ์„ค์น˜ 12.01 12.02 ๋ฐ์Šคํฌํ†ฑ ์ „ํ™˜ ^+
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