this post was submitted on 15 May 2025
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Programmer Humor

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(Please don't lob rocks at me. I love Python.)

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[–] m_f@discuss.online 170 points 2 months ago (2 children)

To be fair, Python is just glue for code written in lower level languages when it comes to AI

[–] abbadon420@lemm.ee 93 points 2 months ago (2 children)

A lot of it is c in a python raincoat

[–] Reddfugee42@lemmy.world 18 points 2 months ago (1 children)

Which can be ASM in a C raincoat

[–] Viking_Hippie@lemmy.dbzer0.com 22 points 2 months ago (1 children)

Which can be ASMR depending on pronunciation and tone of voice.

[–] ImplyingImplications@lemmy.ca 6 points 2 months ago (1 children)
[–] Ziglin@lemmy.world 2 points 2 months ago

Thank you I suppose?

[–] Amberskin@europe.pub 15 points 2 months ago (2 children)

The underlining linear algebra routines are written in… FORTRAN.

[–] abbadon420@lemm.ee 5 points 2 months ago (2 children)

I've never played with FORTRAN, but I've done some linear algebra with matlab. Matlab was interesting for the native handling if matrices. What makes FORTRAN so good at linear algebra?

[–] lime@feddit.nu 11 points 2 months ago (1 children)

the main thing that makes fortran preferable to C is the way it handles arrays and vectors. due to different pointer semantics, they can be laid out more efficiently in memory, meaning less operations need to be done for a given calculation.

[–] LeninOnAPrayer@lemm.ee 5 points 2 months ago* (last edited 2 months ago) (1 children)

Interesting. Is this a fundamental limitation of C or is it just more preferable and easier to use FORTRAN when implementing it?

Meaning could the same performance be achieved in C but most optimized libraries are already written so why bother? Or basically C can't achieve the memory optimization at all?

[–] lime@feddit.nu 8 points 2 months ago* (last edited 2 months ago)

you can get the same performance by using the restrict keyword in C.

basically, C allows pointer aliasing while fortran does not, which means C programs need to be able to handle cases when a value is accessed from multiple locations. fortran does not, so a lot of accesses can be optimized into immediates, or unrolled without guards.

restrict is a pinky-promise to the compiler that no overlapping takes place, e.g. that a value will only be accessed from one place. it's basically rust ownership semantics without enforcement.

[–] mkwt@lemmy.world 7 points 2 months ago

Matlab's syntax for matrices actually derives from Fortran. There's a lot of flexibility in Fortran's array features for

  • multidimensional arrays
  • arrays of indeterminate and flexible length
  • vectorized operations on arrays without explicitly writing loops.

Because Fortran does not have a pointer in the sense of C, the Fortran compiler is free to make several optimization that a C compiler can't. Compiled Fortran is often faster than C code that does the same thing.

[–] atx_aquarian@lemmy.world 3 points 2 months ago

That reminds me, I had a ride share driver named Blas, and I had to giggle and tell them about it.

[–] 30p87@feddit.org 5 points 2 months ago (1 children)

Does one even have to actually write Python code, except for frontends? I'd assume you just load the model, weights and maybe training data into pytorch/tensorflow.

[–] chicken@lemmy.dbzer0.com 6 points 2 months ago

Doesn't seem to be the case, some popular servers:

And then of course talking to these servers can be in any language that has a library for it or even just handles network requests, although Python is a nice choice. Possibly the process of training models is more heavy on the Python dependencies than inference is, haven't actually done anything with that though.