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will do this soon .. currently generating the engine files for 4k/UHD resolution

with software transcoding ?

Better late than never
Output 2000 frames in 15.43 seconds (129.62 fps)

changing clip = core.std.BlankClip(width=1920,height=1080,length=1000,format=vs.YUV420P8)
to
clip = core.std.BlankClip(width=3840,height=2160,length=1000,format=vs.YUV420P8)

Output 2000 frames in 62.34 seconds (32.08 fps)

P.S. i ordered new hardware to test .. Ryzen 7700x, DDR5 7200 Memory etc.

Depends on your resolution .. 1080p runs without any problem .. 2k as well ... 4k is still not fast enough

I see no performance change with the TensorRT setting - so i am still thinking it is not running with Tensorcores

It seems you run the SVP basic RIFE and not vs-mlrt as introduced here: https://www.svp-team.com/forum/viewtopi … 483#p81483

correct ?

anyhow, i tried the basic Rife implementation and nothing changed with 3 threads ..

which nvidia driver version are you using ?

i run windows 11 with the latest driver from january 5th, 528.02

80 to 115 is same result for me .. i would be happy to have a discord evening even curious with the rtx3070ti results shown above ... and 3 gpu threads as i cannot select odd numbers

do you have discord ? please show me your profile setup .. you said 3 gpu threads, SVP allowes 1,2 and 4

i tried to replicate what you did .. advanced encoding with preset fast:
23:53:34.822: ===== Starting mpv ======
23:53:34.822: Command line: C:\Program Files (x86)\SVP 4\mpv64\mpv.exe D:/The Northman (2022).mkv --o=D://The Northman (2022).SVP.temporary.mkv --no-audio --no-sub --no-sub-auto --input-ipc-server=mpvencodepipe --input-media-keys=no --no-msg-color --vf=vapoursynth:[C:\Users\patri\AppData\Roaming\SVP4\scripts\ffff.py]:4:12 --of=matroska --ovc=h264_nvenc --ovcopts=b=10000000,preset=slow,profile=high,rc=vbr,maxrate=13000000,bufsize=20000000,time_base=1000/47952,threads=12
23:53:34.879: (+) Video --vid=1 (hevc 3840x2160 23.976fps)
23:53:34.879: Audio --aid=1 --alang=deu (*) 'Surround 7.1' (truehd 8ch 48000Hz)
23:53:34.879: Audio --aid=2 --alang=eng 'Surround 7.1' (truehd 8ch 48000Hz)
23:53:34.879: Audio --aid=3 --alang=eng 'Stereo' (ac3 2ch 48000Hz)
23:53:34.879: Subs --sid=1 --slang=deu (hdmv_pgs_subtitle)
23:53:34.879: Subs --sid=2 --slang=deu (hdmv_pgs_subtitle)
23:53:34.879: Subs --sid=3 --slang=deu (hdmv_pgs_subtitle)
23:53:34.879: Subs --sid=4 --slang=eng (hdmv_pgs_subtitle)
23:53:34.879: Subs --sid=5 --slang=eng (hdmv_pgs_subtitle)
23:53:34.879: Subs --sid=6 --slang=eng (hdmv_pgs_subtitle)
23:53:34.879: File tags:
23:53:34.879: Title: The Northman (2022)
23:53:35.954: vstrt: TensorRT version mismatch, built with 2135 but loaded with 2136; continue but fingers crossed...
23:53:36.859: CUDA lazy loading is not enabled. Enabling it can significantly reduce device memory usage. See `CUDA_MODULE_LOADING` in https://docs.nvidia.com/cuda/cuda-c-pro … l#env-vars
23:53:36.941: CUDA lazy loading is not enabled. Enabling it can significantly reduce device memory usage. See `CUDA_MODULE_LOADING` in https://docs.nvidia.com/cuda/cuda-c-pro … l#env-vars
23:53:39.511: [autoconvert] Converting yuv420p10 -> p010
23:53:39.521: VO: [lavc] 3840x2160 p010
23:53:39.521: [vo/lavc] Opening encoder: NVIDIA NVENC H.264 encoder [h264_nvenc]
23:53:39.725: [ffmpeg] h264_nvenc: 10 bit encode not supported
23:53:39.749: [ffmpeg] h264_nvenc: No capable devices found
23:53:39.749: [vo/lavc] Could not initialize encoder.
23:53:39.749: Could not initialize video chain.
23:53:39.947: Video: no video
23:53:39.947: [encode] no data written to target file
23:53:39.947: Exiting... (Interrupted by error)
23:53:40.128: (!!!) Intermediate file may be broken: D:\\The Northman (2022).SVP.temporary.mkv
23:53:40.128: ===== mpv exited with code 2 =====

*edit* error found .. movies was 10bit and ... this does not work. so i have to use convert to 8bit or .. use h265 instead, see below

just to understand the workflow .. mpv creates a full script based on input from base.py and generate.js and this script is stored under C:\Users\%user%\AppData\Roaming\SVP4\scripts

correct ?

This file does not contain the parameter use_cuda_graph=True and stream maximum is 4 and github user recommends 5 streams to saturate the Ampere GPU - but RTX is already the successor https://github.com/AmusementClub/vs-mlr … nt-4625003

I deleted all models in the appdata folder to make sure they are created from scratch -> with the new generate.js still 22 fps, nothing changed

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..

damn .. too difficult to do something useful in this forum as it seems just one posting per hour is doable or something like this ...

1080P with 4x is possible .. currently creating the files for 4k ... 4k lagging.

transcoding results with TensorRT onnx 4.6 gputhreads=2(and 4-> same results)
1080p -> 117.8 fps
2160p -> 22,4 fps