El mié, 17 jul 2024 a la(s) 7:04 a.m., Frank Baster (frankbas...@protonmail.com) escribió: > > Is there any interest in machine learning ports for PyTorch / JAX / > TensorFlow? I had a quick look at mlpack but couldn't find support for > recurrent neural networks. > > PyTorch looks like the most do-able.
This is possible, but the performance is a big issue here. For example, you can build PyTorch using Vulkan Backend (https://pytorch.org/tutorials/prototype/vulkan_workflow.html - in OpenBSD Vulkan support is very good) but Vulkan Backend is slow when you compare with specific AI HW accel options. In my case I use Llama.cpp with Vulkan support enable on AMD RX 580 for curiosity, and work fine is very usable. Give a read for this: Kompute (https://kompute.cc/). This is a general purpose GPU compute framework for AI using Vulkan Kompute. -- "Dios en su Cielo, todo bien en la Tierra" ***********************************************
