New RIFE filter - 3x faster AI interpolation possible in SVP!!! (Page 17 of 85)

read the instructions _carefully_

I tested the fix
- the slow motion bug was fixed
but the TRT on transcode speed is still slower than TRT off, and real time mpv with TRT on didn't work at all.
also
flownet_v4.6.pkl_NVIDIA GeForce RTX 3070 Ti_trt-8.5.2.2_1280x768_fp32_workspace-1073741824_scale-1.0_ensemble-False.pt
isn't it should be FP16?

edit: realtime with mpv is working for now. Still, the speed is slower than TRT off.

nothing~~~~~

The other model (4.6) wont shop up in SVP for me, even after restarting svp and computer.

[vapoursynth] RuntimeError: "C:/Program Files (x86)/SVP 4/rife\models\rife\rife_v4.6.onnx" not found, built-in models can be found at https://github.com/AmusementClub/vs-mlrt/releases

you need put the *.onnx files here C:\Program Files (x86)\SVP 4\rife\models\rife

if there is a black board appear it means you're using TRT ver.

those model won't work with RIFE TRT, just ignore them.

RIFE TRT ~83FPS, easy to watch x3 24 1080p in realtime. Compare with vsrife ~60fps

Tested this out with an RTX 4090 and seem to be getting around 115fps on a 1080p video. So much better than the default implementation. Used to only get around 80fps with the default

> Based on the benchmark

benchmark is for 4.4 model, and I set 4.6 as a default one here

plus note the "GPU threads" option in the video profile, it directly translates into "TRT streams" count

Does this help ? https://github.com/AmusementClub/vs-mlr … nt-4623148

I run the 4090 as a pcie 4 card in a pcie 4 x16 slot..

i tried to investigate with the nvidia monitoring tool ...
https://github.com/AmusementClub/vs-mlr … nt-4624607

try this

here's a full script you can use for testing
run with
> vspipe test.py .

variables:
- frame size on line 16, "length" is the number of source frames
- CPU threads on line 6
- GPU streams on line 27
- SVP's add. functions on/off - comment line 69

I thought the problem was in a CPU threads number, which was 4 before, and it's not enough to feed the GPU. Now it's 8, but you're saying there's no difference. Which is strange.
DON'T FORGET TO RESTART SVP after .js/.py file replacing, it may not reload these files automatically in some cases

---
BTW use_cuda_graph=True gives only like 2% difference in my case

---> DON'T FORGET TO RESTART SVP after .js/.py file replacing, it may not reload these files automatically in some cases <---