AMD & Microsoft Collaborate To Bring TensorFlow-DirectML To Life, Up To 4.4x Improvement on RDNA 2 GPUs

1 : Anonymous2021/09/16 15:30 ID: ppfkcs
AMD & Microsoft Collaborate To Bring TensorFlow-DirectML To Life, Up To 4.4x Improvement on RDNA 2 GPUs
2 : Anonymous2021/09/16 16:05 ID: hd3dt38

This is machine learning not 4.4x game performance.

ID: hd498uf

It could be, if Game devs incorporate TensorFlow-DirectML when using the DX12 API.
AND/OR AMD adds it to the render pipe of FSR, i.e FSR 2.0.

ID: hd4mfcm

It could be, if Game devs incorporate TensorFlow-DirectML when using the DX12 API.

It could be what? It's still going to be a 4.4x increase in machine learning performance. It's not going to make your video game 4.4 times more performant.

AND/OR AMD adds it to the render pipe of FSR, i.e FSR 2.0.

How would that increase the performance? If anything using shader units for ML based upscaling would increase the performance impact when gaming...

ID: hd4l9fy

Machine learning can often will bleed into gaming. Look at DLSS; literally machine learning on a GPU and it gives them almost double fps.

ID: hd4r3rg

I don't think you understand the role that ML plays in DLSS. The model has already been tuned.

ID: hd4pkgi

Idk what the deal is with communication of the ML, but most of the traditional machine learning happens before it makes it to your program. That's where the training and learning occurs. When your computer applies the training to a new scenario is a different process, and is several orders if magnitude less intensive.

3 : Anonymous2021/09/16 16:23 ID: hd3ggbj

that's huge....still has a long way from the AI dominance that nvidia seems to have on the market but I'll take it.

ID: hd3t7ih

It's kinda useless cause it's only Tensorflow 1 which nobody uses anymore; everyone moved onto either Pytorch or Tensorflow 2.

It also requires you to run your development on Windows which not a single sane AI shop would do.

It's mostly Microsoft hoping they'll trick students into doing their babby's first AI experiments in environment nobody uses right now.

ID: hd47e95

There’s some features that’s still only available on tensorflow one that’s not yet implemented in tensorflow 2, like some forms of transfer learning.

4 : Anonymous2021/09/16 19:13 ID: hd45qlo

TensorFlow can be used for things like ray tracing, but this is more theatrical ray tracing and no games. There is still a lot of overhead involved.

ID: hd4lbyb

They are adding this to DX12 so it absolutely is for gaming.

ID: hd49p15

It's being incorporated into DX12 so games are totally viable.

5 : Anonymous2021/09/16 16:54 ID: hd3l6ie

Could this be useful for something like upscaling? Like could an updated FSR version use these improvements to accelerate upsampling similar to DLSS?

ID: hd40jg6

Technically, yes. Practically, hard to say, it’d take performance away from the game since it uses the same hardware(unlike tensor cores which are separate) so any DLSS like solution would have to fast enough to overcome that performance you’re taking away and still be fast enough to improve performance

ID: hd478l5

I suppose that make sense. Let's see

ID: hd3t4cl

No.

ID: hd49jfp

Yes.
And it would not shock me that it does make its way into FSR 2.0
It would be similar to how DLSS 1.0 changed when updated to 2.0.

ID: hd4lft3

Actually yes. Big yes. DLSS basically uses tensorflow so if AMD gets a leg up here, you'll see massive fps increases.

ID: hd3nbu0

You can upscale fps with RIFE for example (NSFW)

(NSFW)

6 : Anonymous2021/09/16 17:38 ID: hd3rspk

Looking forward to this coming to Xbox Series X.

7 : Anonymous2021/09/16 20:22 ID: hd4fz78

Maybe with this I don't need to wait for ROCm RDNA 2 support? If this is capable of all the machine learning stuff I wanna do...

8 : Anonymous2021/09/16 15:42 ID: hd3af37

Wow that's sick ! Any game that use this yet ? Lol

ID: hd3asfy

16K Gaming lessgoooo

引用元:https://www.reddit.com/r/Amd/comments/ppfkcs/amd_microsoft_collaborate_to_bring/

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