5 ms·

I really hope I can create executable packages, but when some bulky math libs in Python are involved, it really becomes very hard.

• dheera 5y ago
  You can include all the bulky math libs in the executable. That way if you want some version of Tensorflow and some other executable wants some other version of Tensorflow, there isn't a conflict. IMO it is no problem if your software is several hundred megabytes in size, I have 8 TB of hard drive. Storage is cheap as long as you aren't using Apple.
  • immibis 5y ago
    Until your bundled version of Tensorflow isn't compatible with your installed version of CUDA.
    • dheera 5y ago
      So have both CUDA and non-CUDA versions bundled, along with the specific CUDA and cudnn version it needs. Still not that large. Maybe a couple gigs at most for everything, and a LOT of headache saved in return which I think is a fine deal. I mean, very often the Tensorflow version a piece of software wants doesn't actually have a version available for my currently-installed CUDA version. I'll have CUDA 10.1, 11.0, and 12.6 already on my system for other pieces of software, and your software is hellbent dependent on Tensorflow 2.3 and CUDA 11.1 and I'll end up having to install 11.1 in addition anyway just to run your software.
      • immibis 5y ago
        Until your bundled version of CUDA isn't compatible with your installed graphics card.
        • dheera 5y ago
          If so you wouldn't be able to run it anyway and you'd have to go to CPU only, whether or not you bundle stuff.
  • selfhoster11 5y ago
    I've got a 256GB SSD as my boot drive. Storage is not cheap.