81–90 of 233 posts
pip install pytorch Environment broken Spend 4 hours fixing python environment pip install Pillow Something something incorrect cpu architecture for your Macbook Spend another 4 hours reinstalling everything from scratch after nuking every single mention of python pip install … oh time to go home!
>Something something incorrect cpu architecture for your Macbook
I’m glad I have something in common with the smart people around here.
Getting my models dunked on by people who can't open MS Outlook more than 3 tries out of 5, however, have a remarkable depth and insight into their chosen domain of expertise. It's rather humbling. Collaborating with nontechnical people is oddly my favorite part of doing MLE work right now. It wasn't the case when I did basic web/db stuff. They see me as a magician. I see them as voodoo priests and priestesses. When…
Earlier quoted context omitted.
A lot do, personally, every single time I try to go back to conda/mamba whatever, I get some extremely weird C/C++ related linking bug - just recently, I ran into an issue where the environment was _almost_ completely isolated from the OS distro's C/C++ build infra, except for LD, which was apparently so old it was missing the vpdpbusd instruction ( https://github.com/google/XNNPACK/issues/6389 ). Except the thing wa…
It's probably easier to reinstall everything anew from time to time. Instead of fixing broken 18.04 just move to 22.04. Most tools should work, if you don't have huge codebase which requires old compiler... Conda.. it interfere with OS setup and has not always the best utils. Like ffmpeg is compiled with limited options, probably due to licensing.
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Do people doing ML/DS not use conda anymore?
If they are they should stop. It causes so many entirely unnecessary issues. The conda developers are directly responsible for maybe a month of my wasted debugging time. At my last job one of our questions for helping debug client library issues was “are you using conda”. And if so we just would say we can’t help you. Luckily it was rare, but if conda was involved it was 100% conda fault somehow, and it was always a…
pip install pytorch Environment broken Spend 4 hours fixing python environment pip install Pillow Something something incorrect cpu architecture for your Macbook Spend another 4 hours reinstalling everything from scratch after nuking every single mention of python pip install … oh time to go home!
> Environment broken >Something something incorrect cpu architecture for your Macbook I’m glad I have something in common with the smart people around here.
pip install pytorch Environment broken Spend 4 hours fixing python environment pip install Pillow Something something incorrect cpu architecture for your Macbook Spend another 4 hours reinstalling everything from scratch after nuking every single mention of python pip install … oh time to go home!
As an amateur game engine developer, I morosely reflect my hobby seems to actually consist of endlessly chasing things that were broken by environment updates (OS, libraries, compiler, etc.) That is, most of the time I sit down to code I actually spend nuking and reinstalling things that (I thought) were previously working. Your comment makes me feel a little better that this is not merely some personal failing of fo…
It’s why I still use react, their backcompat is amazing
pip install pytorch Environment broken Spend 4 hours fixing python environment pip install Pillow Something something incorrect cpu architecture for your Macbook Spend another 4 hours reinstalling everything from scratch after nuking every single mention of python pip install … oh time to go home!
I've been doing machine learning since the mid 2000s. About half of my time is spent keeping data pipelines running to get data into shape for training and using in models. The other half is spent doing tech support for the bunch of recently hired "AI scientists" who can barely code, and who spend their days copy/pasting stuff into various chatbot services. Stuff like telling them how to install python packages and u…
You’re living the dream. Why quit ?
pip install pytorch Environment broken Spend 4 hours fixing python environment pip install Pillow Something something incorrect cpu architecture for your Macbook Spend another 4 hours reinstalling everything from scratch after nuking every single mention of python pip install … oh time to go home!
Can recommend using conda, more specifically mambaforge/micromamba (no licensing issues when used at work). This works way better than pip, as it does more checks/dependency checking, so it does not break as easily as pip, though this makes it definitely way slower when installing something. It also supports updating your environment to the newest versions of all packages. It's no silver bullet and mixing it with pip…
This happened about a week ago
pip install pytorch Environment broken Spend 4 hours fixing python environment pip install Pillow Something something incorrect cpu architecture for your Macbook Spend another 4 hours reinstalling everything from scratch after nuking every single mention of python pip install … oh time to go home!
I thought most ML engineers use their laptops as dumb terminals and just remote into a Linux GPU server.