While you at it Sir Selur..
Could you PM the link of that much coveted torch-addon pretty please °^° ..
Or better yet , make it an STICKY thread.. so that everyone benefits from it
errmm..only the lonely.. i wonder if it would work with the current hybrid release you've pm'd me couple hours ago ?
I like to see how my fresh installed 7800XT + R9 5900x / PBO2 will cope with it
cheers,
TD
Hello Selur, please send me the link also
send you the links,..
Cu Selur
(01.11.2023, 06:42)Selur Wrote: [ -> ]The torch-addon only works with NVIDIA cards.
I could send you a link to the vs-mlrt addon (https://github.com/AmusementClub/vs-mlrt/).
Yep , i have read about it afterwards
damn..
the upscaling looked promising though from what ive seen at github..
But then again, my new GPU is an RDNA3 architecture with AI acceleration ...
Isn't there any alternative that supports amd newest cards ?
cheers,
Quote:Isn't there any alternative that supports amd newest cards ?
Aside from what vs-mlrt offers: not that I know of.
Cu Selur
(01.11.2023, 19:00)Selur Wrote: [ -> ]Quote:Isn't there any alternative that supports amd newest cards ?
Aside from what vs-mlrt offers: not that I know of.
Cu Selur
Oh well, cuz i think the vulkan api could have an advantage in speed using these addons.
cheers,
TD,
Quote: i think the vulkan api could have an advantage in speed using these addons.
Okay.
From what I have seen so far in ml relates stuff, the direct cuda implementations are usually faster than their vulkan alternatives, especially if TensorRT is used.
Cu Selur
(01.11.2023, 19:11)Selur Wrote: [ -> ]Quote: i think the vulkan api could have an advantage in speed using these addons.
Okay.
From what I have seen so far in ml relates stuff, the direct cuda implementations are usually faster than their vulkan alternatives, especially if TensorRT is used.
Cu Selur
Is there much difference speedwise ?
I mean, beside comparing an rtx4090 high tier with an rx480 low end gpu ofcourse
cheers,
Quote:Is there much difference speedwise ?
No clue, I bought an NVIDIA card since I knew that:
a. they are widely used in universities for years (due to apis&co), so most new research projects&coder use them.
b. the video encoders of AMD hardware were always worse than from Intel and NVIDIA.
According to
https://www.hpcwire.com/off-the-wire/amd...-rocm-5-7/ newer pytorch might support AMD cards, so there is hope, but since I don't own a RDNA3 card I can't really say how much trouble it would be for the developers to port their code for that.
Cu Selur