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I run everything python under Rosetta. Easiest way is to install home brew for Intel processors then make an alias to that version for managing rosetta stuff



You’re missing out on a gigantic speed boost. If you haven’t checked lately check again, most of the big libraries have been recompiled over the last few months (tensorflow excluded apparently).


Kinda silly to use Rosetta when the whole point of this is native support for TensorFlow on M1.


Maybe, but lots and lots of software applications are not even close to being hardware constrained or in this specific case Rosetta constrained. If you're trying to get work done and you have the computational overhead available, this absolutely sounds like the right solution. Even if it's less efficient, I can easily imagine situations where "I need this to work without thinking about it" could win out.


Yeah I am not running code which is hardware constrained and numpy was a real doozy tto get working because of pep517. I found Rosetta pretty fast anyway. Certainly faster than my Ryzen 2600 on arch Linux at running the same code.


I'm not saying "don't use Rosetta", I'm saying using Rosetta is totally pointless in this case, where literally the whole point is native M1 support.


> I run everything python under Rosetta.

So basically the software that you require to run and do your work is still not available for Apple Silicon? In this case, Apple Silicon support for Python libraries.

The whole point of Apple Silicon is to supersede its Intel Mac counterparts and to run software natively with a noticeable performance increase, especially with software with high performance requirements.

In the case of python users and the ecosystem around it, it is still not ready.

Glad I sat that one out.


There's no need to be so angry about a hypothetical situation in which you by a laptop that you never wanted. I just prefer simplicity right now. I'm a PhD student and I don't need the code to be super fastz just need it to work right now. As it stands j just got it all to run under native so I guess my slight modicum of patience you don't have lags dividends :)


> There's no need to be so angry about a hypothetical situation in which you by a laptop that you never wanted.

Nothing hypothetical about being an early adopter and then complaining and wasting months since the November 2020 release day chaos that several software is still unavailable or unstable, the very basic software doesn't even run on the system and the excessive disk writes on the M1 quickly wears the SSD on the machine. All completely real and happened to many people since launch day.

So, what's the point of buying a laptop that doesn't even run your software in the first place? Might as well stay on your existing laptop. You would rather wait N amount of months for the software to mature and use the laptop reliably for your work than to skip all of that, use your existing laptop and get a better one? (M2 Mac).

Why would I want to wait for months for the developers to port their software and its library ecosystem to Apple Silicon or waste time with broken workarounds when I can use my existing laptop that already 'just works' with everything.

Mind you, I actually bought the M1 MBA recently to try it out and returned it at full price due to the software ecosystem not being ready. Not only I saved my money, I >5x'd that money it in a recent investment anyway and now I'm glad I did that.




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