[Cin] Testing Nvidia Nvenc encoding
Andrew Randrianasulu
randrianasulu at gmail.com
Fri Dec 27 22:25:50 CET 2024
пт, 27 дек. 2024 г., 23:56 Terje J. Hanssen <terjejhanssen at gmail.com>:
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> Den 27.12.2024 21:37, skrev Terje J. Hanssen:
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> Den 27.12.2024 21:07, skrev Andrew Randrianasulu:
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> пт, 27 дек. 2024 г., 22:55 Phyllis Smith <phylsmith2017 at gmail.com>:
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>> Andrew, are you saying that nv-codec-headers at 10.0.26.0 in the current
>> CinGG work with your GT710? and that the newest 12.2.72.0 does not? If so,
>> then maybe we should not upgrade. When I look at the support matrix (url
>> below) it does not mention the GT710.
>>
>
> Do not worry, I only used proprietary driver from live dvd to see if nvenc
> ever work at all. I normally use built-in nouveau, even if it does not
> support encoding block on any hw.
>
> Do not consider my oddball machine support as showstopper - I definitely
> can roll my own build ;)
>
> https://gssparks.github.io/post/can-a-geforce-gt710-nvenc/
>
> yeah, gt710 is sort of two-cards-under-same-name, mine is Kepler based so
> it worked ....
>
>
> A side comment:
> Before I rebuilt my legacy SM workstation, I replaced a GT730 with GTX960
> on the MSI mobo (from my upgraded Chieftec workstation)
>
> https://www.asus.com/motherboards-components/graphics-cards/asus/gt730-sl-2gd3-brk-evo/
>
>
>
> And then, about 6 months ago, I had the following drivers for GT 730
> enabled on Leap15.5 and Slowroll respectively:
>
> Device-1: NVIDIA GK208B [GeForce GT 730] driver: nvidia v: 470.256.02
>
> isn't 470 < 550 ?
But I do not think opening desktop case just for this test actually good
idea ...
do not worry, ff nvidia headers quite small tarball, I always can fish old
one from one of my backups ....
Device-1: NVIDIA GK208B [GeForce GT 730] driver: nouveau v: kernel
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>> https://developer.nvidia.com/video-encode-and-decode-gpu-support-matrix-new
>> BUT when I do a compare of the old one we have currently and the latest
>> at this website:
>> https://github.com/FFmpeg/nv-codec-headers/releases/tag/n12.2.72.0
>> I get the following differences which DO NOT say anything about dropping
>> support for any previous Nvidia graphics boards.
>> Below list the comparison which shows what was changed from the older
>> version to the latest
>>
>>> *Bump for (in-dev) 10.0.26.1*
>>> Fix macOS build
>>> Add linker functions and types
>>> Fix CUdeviceptr definition for ARM64 CPU
>>> *Bump for (in-dev) 10.0.26.2*
>>> Update headers from Video SDK 11.0
>>> *Bump for (in-dev) 11.0.10.1*
>>> Add cuModuleGetGlobal
>>> Add texture alignment device attributes
>>> add cuMemcpy
>>>
>> *Bump for (in-dev) 11.0.10.2*
>>> Fix UB lshift in nvenc struct version macros
>>> Add more memory functions
>>> Update headers from Video SDK 11.1
>>> Add timeline semaphore type
>>> Add CU_EXTERNAL_SEMAPHORE_HANDLE_TYPE_TIMELINE_SEMAPHORE_WIN32
>>> Add a subset of CUDA EGLStreams interop API
>>> Update forgotten version number in README
>>> Fix codestyle
>>> Add D3D11 interop functions
>>> *Release 11.1.5.2*
>>> Prepare for SDK 12.0 update
>>> Preliminary update of nvEncodeAPI to SDK 12.0
>>>
>> Add missing SDK 12.0 bits
>>> Update for final release of Video Codec SDK 12.0.16
>>> Remove AV1 High Profile GUID
>>> Update README
>>> Add cuArrayCreate
>>> *Bump for (in-dev) 12.0.16.1*
>>> Add functions to identify devices in more ways
>>> Add missing cuStreamWaitEvent function
>>> Update headers from Video SDK 12.1
>>> Add cuDriverGetVersion
>>> Add cuCtxGetCurrent function
>>> *Bump for (in-dev) 12.1.14.1*
>>> Update headers from Video SDK 12.2
>>>
>>
>>
>> On Thu, Dec 26, 2024 at 7:20 PM Andrew Randrianasulu <
>> randrianasulu at gmail.com> wrote:
>>
>>>
>>>
>>> пт, 27 дек. 2024 г., 05:09 Phyllis Smith <phylsmith2017 at gmail.com>:
>>>
>>>> Great so it will be included in the next release. Thank you very much.
>>>>
>>>
>>> Can you also please copypaste min driver notes into our release notes
>>> so it will be easier for me to track it in case my older gt710 still stuck
>>> at older driver version (not a blocker, I surely can swap headers back to
>>> 2020 version locally).
>>>
>>> Thanks and sorry for relative inactivity. I hope to pick up some steam
>>> ..... may he after formal New Year date?
>>>
>>> Have (good) holidays!
>>>
>>>
>>>
>>>> On Thu, Dec 26, 2024, 17:10 Terje J. Hanssen <terjejhanssen at gmail.com>
>>>> wrote:
>>>>
>>>>>
>>>>>
>>>>>
>>>>> Den 26.12.2024 23:15, skrev Phyllis Smith:
>>>>>
>>>>> Here is the AppImage with the latest nvencoders for Nvidia graphics
>>>>> that goes with ffmpeg.
>>>>>
>>>>> https://cinelerra-gg.org/download/testing/cin-x86_64_nvencupdate.AppImage
>>>>> For comparison, here is the appimage containing the original
>>>>> nvencoders from 2020.
>>>>>
>>>>> https://cinelerra-gg.org/download/images/CinGG-20241031-x86_64.AppImage
>>>>>
>>>>>
>>>>> I've did a quick test with h64_nvenc.mp4 and h265_nvenc.mp4 (w/setting
>>>>> format=Not Interlaced)
>>>>> Both AppImages works with similar fps speeds on my Nvidia GF GTX 960.
>>>>>
>>>>>
>>>>> I am not sure if encoding with formats h264_nvenc.mp4, h265_nvenc.mp4,
>>>>> or h264_nvenc.qt actually work from an AppImage that was created on a
>>>>> computer that does not have an Nvidea graphics card or its software. But
>>>>> for some reason, I do not think that that matters and it should work.
>>>>>
>>>>>
>>>>> Yes, nvenc works (as it correspondingly was expected to do with onevpl
>>>>> for Intel qsv/hw).
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> On Thu, Dec 26, 2024 at 2:11 PM Terje J. Hanssen <
>>>>> terjejhanssen at gmail.com> wrote:
>>>>>
>>>>>>
>>>>>>
>>>>>>
>>>>>> Den 24.12.2024 13:29, skrev Terje J. Hanssen:
>>>>>>
>>>>>>
>>>>>>
>>>>>>
>>>>>> Den 24.12.2024 00:58, skrev Phyllis Smith:
>>>>>>
>>>>>> Downloaded latest version of nv-codec-headers release and built CinGG
>>>>>> with it and no problems here. Unfortunately the 4 different computers I
>>>>>> attempted to test on did not have the correct Nvidia hardware or software.
>>>>>> Why? I do not know but will try one more later.
>>>>>>
>>>>>>
>>>>>> According to the
>>>>>> *Readme *https://github.com/FFmpeg/nv-codec-headers
>>>>>>
>>>>>> *FFmpeg version of headers required to interface with Nvidias codec
>>>>>> APIs.*
>>>>>> *Corresponds to Video Codec SDK version 12.0.16.*
>>>>>> *Minimum required driver versions:*
>>>>>> *Linux: 550.54.14 or newer*
>>>>>>
>>>>>> As shown in my previous post, the legacy (2015) NV-GF GTX 960 runs
>>>>>> with the following nv driver version on Slowroll:
>>>>>>
>>>>>> Graphics:
>>>>>> Device-1: Intel HD Graphics 530 driver: i915 v: kernel
>>>>>> Device-2: NVIDIA GM206 [GeForce GTX 960] driver: nvidia v: 550.135
>>>>>>
>>>>>>
>>>>>>
>>>>>> If you want and have a test download, I can give it a try on my
>>>>>> legacy GF GTX 960 SkyLake workstation, to see if your new AppImage (still)
>>>>>> works as previously.
>>>>>>
>>>>>>
>>>>>> On Sat, Dec 21, 2024 at 4:04 PM Andrew Randrianasulu <
>>>>>> randrianasulu at gmail.com> wrote:
>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> вс, 22 дек. 2024 г., 01:53 Phyllis Smith <phylsmith2017 at gmail.com>:
>>>>>>>
>>>>>>>> Andrew,
>>>>>>>>
>>>>>>>>> most likely our nv headers drifted from that
>>>>>>>>> ffmpeg-7.0/proprietary driver assumes at runtime.
>>>>>>>>>
>>>>>>>> I have been wondering about nv-codec-headers as we are at:
>>>>>>>>
>>>>>>>> https://github.com/FFmpeg/nv-codec-headers/releases/tag/n10.0.26.0
>>>>>>>> but I am unsure about updating to:
>>>>>>>>
>>>>>>>> https://github.com/FFmpeg/nv-codec-headers/releases/tag/n12.2.72.0
>>>>>>>> because if you look at:
>>>>>>>> https://github.com/FFmpeg/nv-codec-headers/releases/
>>>>>>>> the release versions go from 12.xx to 8.x and it is really weird
>>>>>>>> AND there is no year on the release dates but just day and month.
>>>>>>>> Since it is such an important part of ffmpeg inside CinGG, I am
>>>>>>>> concerned but will at least try the 12.2.72.0 just to see what it does.
>>>>>>>>
>>>>>>>
>>>>>>> in theory it should give users of new nvidia hardware av1 encoding
>>>>>>> ...... but not sure how it will work with older drivers and hardware.
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>>>
>>>>>>>>> you can try to install something like nv-codec-headers and then
>>>>>>>>> add
>>>>>>>>>
>>>>>>>>>
>>>>>>
>>>>>>
>>>>>
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