I've been attempting to install tf metal on my computer so that I can use GPUs instead of CPUs. I have tf macOS installed already, and I am fully updated with pip and tf. I'm currently 2 months into building and training a tf CNN, and I'm at the point where training a single epoch for my network will take a week (I have a lot of data that I need to use). I desperately need to use GPUs but am stuck with CPUs for now. I can't get access to a cluster, so the best I can do is continue to use my M2 MacBook. Is there a way I can work around not being able to install tf metal?
I keep getting this error message: "ERROR: Could not find a version that satisfies the requirement tensorflow-metal (from versions: none) ERROR: No matching distribution found for tensorflow-metal"
I looked on apple forums, tried to download it from GitHub (the page is down), and anything else I could think of and/or find on the internet to help, but it still isn't installing.
I've used the following commands and still no luck:
Any help would be appreciated! Thanks so much!
I am a sysadmin that started as MLOPs, so please bear with me... This could be wrong... But I managed to install it using
I do not use Conda. My company does not use it. But the packages version should be pretty similar a part of some dependencies I read people speaking about Conda (Conda install apple) (https://medium.com/@jarondlk/installing-tensorflow-metal-on-apple-silicon-macos-with-miniconda-f43121fe3054 as ONE example)
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