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Also, the dev is against adding options that can be used only by specific users, which also adds against making such option.
I believe the aim of this suggestion isn't to "improve visuals", but to offload some of the LSFG processing to the unused tensor cores (if possible), to overall improve performance
This is already similar to how LSFG can choose between iGPU and dGPU in processing its load. Sometimes, using iGPU for LSFG can gain benefits. (offloading the processing to the iGPU instead of the discrete GPU)
Not everyone has an iGPU, and yet the option is still there. Not everyone has an HDR monitor, and yet, the option is there. Same goes for other features like VRR, etc. Case in point, An added option to utilize tensor cores for RTX users (if possible) would be nice legit.
btw, I love the lossless scaling app and I recommend it whenever applicable!
(Still though love this program)
Yes. the suggestion wasn't entierly about visuals, but about offloading onto unused parts of hardware. I just asked about visuals once. but the post is about offloading onto Tensor Cores.
I saw the option but didnt think about selecting an igpu to do the frame generation, I will have to try that to see what it's like!
I am %100 in line with you on that last part. well writen. rtx 2000 was released almost 6 years ago, its not fair for others to say rtx is for "specific users", the steam hardware survey shows that there are a large number of people using rtx cards.
again, LS has many features for many people, but why stop at rtx? rtx 2000 was released almost 6 years ago, in 4 years time you can say "rtx 2000 was released 10 years ago, why isn't this developer using Tensor Cores to improve this application?"
I agree with everything you are saying and what the lyn was saying too. Also to add to this. It doesn't matter about tensor cores per say. People forget that AMD has Stream cores which are very similar so this can be co-opted for both types of hardware and I think this absolutely should be an option for the dev to consider if it's possible. If it's not possible, no harm done. But I think they should look into it. It's literally possible hardware resources for at least 50%+ of users not being utilised.
To more accurately sum this up. The only truly exclusive hardware that Nvidia uses is optical accelerator flow cores.. Tensor cores are used for AI upscaling such as DLSS, DLDSR and ray/path tracing and ray reconstruction and to be completely fair in the RTX 3000 and 4000 series GPUs only very rarely are even half of these cores even used. Case in point of a RTX 3080ti being able to run 8K DLDSR + DLSS Quality and RTX and still only using 80% of the cores. Nvidia put more of these cores than you will ever use into these GPUs and AMD puts an insane amount of stream processors into theirs.
Especially relevant as its not just Nvidia that will be using hardware acceleration for this stuff going forwards. AMD and Intel will be going hardware rather than software based soon as well
That depends on the situation and the viewpoint. For example, you have a 60hz monitor and a decent GPU, the GPU is bored and uses only 60% power in games at 60hz, then you upgrade to 240hz and can suddenly do a 60x3/4 framegen at "zero cost" (just higher GPU usage), because the GPU has enough headroom.
this wouldn't limit it to anyone, just 8+ year old cards at best - and would be a toggle if applicable.
or do we just get rid of 4x and higher frame gen because 'not everyone can use it'?
That's clearly stupid.
There's a difference between locking a feature on software for some artificial BS reason and locking it because the hardware literally doesn't support it.
The main issue is that adapting the tech to the different type of tensor cores will be hell that would eat too much time. The nvidia tensor cores and the intel XMX cores work in different ways, as will the new AMD RDNA tensor cores. So, that would require way too much adapting on too many fronts for a singular dev.
PS: At the time of the original answer, at the start of the thread, not all other companies had tensor cores in their standard customer products