Recent comments in /f/deeplearning

Appropriate_Ant_4629 t1_ixtlk37 wrote

> Windows + WSL with Ubuntu is great

I wouldn't call it "great".

It's very fragile environment compared to running Linux as the host OS. At work our Linux machines have uptimes measure in years, running many jobs 24x7.

It's lucky if my co-worker's GPU-accelerated WSL environments survive a few days.

I much prefer running Linux as the host and Windows in a VM for the rare occasions I need it.

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ChunkyHabeneroSalsa t1_ixtdpgh wrote

I've used Windows for a few years. I've had bugs and issues that would never get resolved but all in all it's not a big deal. Tensorflow + C++ + Windows was a nightmare but now I use pytorch->onnx and run onnxruntime in c++ and have no problems.

Haven't tried wsl. I have it setup and I use it to test builds because we are switching to linux at least on the production side so our code compiles for both windows and Linux.

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someone383726 t1_ixswhp3 wrote

I have not had any problems getting tensorflow to run on windows and utilize my Nvidia gpu. I watched some YT video to get everything setup and the big thing was making sure the versions of all the components were compatible. I’ve also converted my models to onnx and completed inference on windows and Linux (VPS)

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onlymagik t1_ixsi37l wrote

I got TensorFlow 2.0 to work first time on my personal machine on Windows 11 a year ago. I think it has come a long way from before. I just downloaded the latest version of Tensorflow, which was 2.8 at the time, and the CUDA drivers that went with that version, and it all worked nicely.

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