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I want to promote that the Google project https://github.com/openxla/iree exists and IREE acts as a way to turn Tensorflow, Pytorch, and MLIR workflows to compute on cpu, vulkan compute, cuda, rocm, metal and others.
https://github.com/RechieKho/IREE.gd -- RechieKho and I collaborate on making this work for Godot Engine, but IREE.gd is at a proof of concept stage.
I want to promote that the Google project https://github.com/openxla/iree exists and IREE acts as a way to turn Tensorflow, Pytorch, and MLIR workflows to compute on cpu, vulkan compute, cuda, rocm, metal and others.
https://github.com/RechieKho/IREE.gd -- RechieKho and I collaborate on making this work for Godot Engine, but IREE.gd is at a proof of concept stage.
>I'm not sure how has Nvidia come to absolutely dominate this market
They had the foresight to see the coming wave and ensure they have both best hardware and best software stack.
What puzzles me more is why AMD isn't throwing money at their software side to sort that out. Rocm was launched in 2016. 7 years later running pytorch on their flagship GPU still requires a janky laundry list of crowdsourced instructions:
https://github.com/AUTOMATIC1111/stable-diffusion-webui/disc...