Roughly one year. No GPU code however for that project as the target library is CPU-only anyway so not really comparable to PyTorch (and PyTorch is more than just the autodiff), but there was lots of SIMD vectorization. Yeah you could train a neural network on CPU with it if you want, and the expression template stuff I talked about would be somewhat equivalent to PyTorch’s operator fusion, but the target use is more quant finance code.
You are not logged in. However you can subscribe from another Fediverse account, for example Lemmy or Mastodon. To do this, paste the following into the search field of your instance: !programming@programming.dev
Welcome to the main community in programming.dev! Feel free to post anything relating to programming here!
Cross posting is strongly encouraged in the instance. If you feel your post or another person’s post makes sense in another community cross post into it.
Hope you enjoy the instance!
Rules
Rules
Follow the programming.dev instance rules
Keep content related to programming in some way
If you’re posting long videos try to add in some form of tldr for those who don’t want to watch videos
That’s insane. You’re basically talking about a custom implementation of pytorch autograd right? How long did it take?
Roughly one year. No GPU code however for that project as the target library is CPU-only anyway so not really comparable to PyTorch (and PyTorch is more than just the autodiff), but there was lots of SIMD vectorization. Yeah you could train a neural network on CPU with it if you want, and the expression template stuff I talked about would be somewhat equivalent to PyTorch’s operator fusion, but the target use is more quant finance code.