[FFmpeg-user] Failed creating CUDA context for NVENC
Yang Zhang
yzfedora at gmail.com
Thu Jul 19 16:12:12 EEST 2018
I got this error before. the error code 0x2 is indicate no enough gpu
memory. perhaps you can see the output of nvidia-smi tool indicate
the gpu is still left 1GB or more. perhaps nvidia-smi's output is not
exactly. or the nvidia driver limited it. my previous test is GTX
1070ti 8GB can transcoding 60 SD channels.
On 7/19/18, Yugandhar Veeramachaneni <hello at yugandhar.me> wrote:
> I see unrestricted in the # of concurrent sessions column -
> https://screenshots.firefox.com/ZTBoEcMVKO336dh8/developer.nvidia.com which
> is why I bought this GPU in the first place.
>
> Your solution to override the hard-coded limits seems promising at the
> first glance. I'll try that soon and report back my findings.
>
> Thank you for your help.
>
> - Yugandhar
>
> On Wed, Jul 18, 2018 at 2:46 PM Dennis Mungai <dmngaie at gmail.com> wrote:
>
>> Also, see this list:
>> https://developer.nvidia.com/video-encode-decode-gpu-support-matrix
>>
>> You have the Quadro P4000, which is artificially crippled to ~2 concurrent
>> sessions according to the documentation above.
>>
>> On 18 July 2018 at 22:34, Dennis Mungai <dmngaie at gmail.com> wrote:
>>
>> > NVENC runs on a discrete silicon IP core (SIP) block in the GPU, and not
>> > on the GPU's shaders.
>> > That SIP block has hard-coded limits (set in firmware) to ensure that
>> > these who need more than the artificial limit buy Tesla-grade hardware.
>> >
>> > Marketing shills by NVIDIA.
>> >
>> > You can override this limit by using Keylase's nvidia patcher here:
>> > https://github.com/keylase/nvidia-patch
>> >
>> > On 18 July 2018 at 22:00, Yugandhar Veeramachaneni <hello at yugandhar.me>
>> > wrote:
>> >
>> >> I'm a little confused here because the GPU resource utilization is well
>> >> below the hard limits.
>> >>
>> >> When I run nvidia-smi, this is what I get -
>> >>
>> >> yugandharv at eclairs:~$ nvidia-smi
>> >> Thu Jul 19 00:29:45 2018
>> >> +-----------------------------------------------------------
>> >> ------------------+
>> >> | NVIDIA-SMI 390.67 Driver Version:
>> >> 390.67 |
>> >> |-------------------------------+----------------------+----
>> >> ------------------+
>> >> | GPU Name Persistence-M| Bus-Id Disp.A | Volatile
>> Uncorr.
>> >> ECC |
>> >> | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util
>> Compute
>> >> M. |
>> >> |===============================+======================+====
>> >> ==================|
>> >> | 0 Quadro P4000 Off | 00000000:02:00.0 Off |
>> >> N/A |
>> >> | 52% 55C P0 38W / 105W | 6646MiB / 8117MiB | 25%
>> >> Default |
>> >> +-------------------------------+----------------------+----
>> >> ------------------+
>> >>
>> >>
>> >> +-----------------------------------------------------------
>> >> ------------------+
>> >> | Processes: GPU
>> >> Memory |
>> >> | GPU PID Type Process name
>> >> Usage |
>> >> |===========================================================
>> >> ==================|
>> >> | 0 983 C /home/yugandharv/bin/ffmpeg
>> >> 229MiB |
>> >> | 0 995 C /home/yugandharv/bin/ffmpeg
>> >> 229MiB |
>> >> | 0 1010 C /home/yugandharv/bin/ffmpeg
>> >> 229MiB |
>> >> | 0 1012 C /home/yugandharv/bin/ffmpeg
>> >> 215MiB |
>> >> | 0 1017 C /home/yugandharv/bin/ffmpeg
>> >> 235MiB |
>> >> | 0 1986 C /home/yugandharv/bin/ffmpeg
>> >> 224MiB |
>> >> | 0 8484 C /home/yugandharv/bin/ffmpeg
>> >> 229MiB |
>> >> | 0 8497 C /home/yugandharv/bin/ffmpeg
>> >> 229MiB |
>> >> | 0 8538 C /home/yugandharv/bin/ffmpeg
>> >> 225MiB |
>> >> | 0 11097 C /home/yugandharv/bin/ffmpeg
>> >> 193MiB |
>> >> | 0 11109 C /home/yugandharv/bin/ffmpeg
>> >> 193MiB |
>> >> | 0 11121 C /home/yugandharv/bin/ffmpeg
>> >> 193MiB |
>> >> | 0 11134 C /home/yugandharv/bin/ffmpeg
>> >> 229MiB |
>> >> | 0 11169 C /home/yugandharv/bin/ffmpeg
>> >> 225MiB |
>> >> | 0 11175 C /home/yugandharv/bin/ffmpeg
>> >> 193MiB |
>> >> | 0 11186 C /home/yugandharv/bin/ffmpeg
>> >> 229MiB |
>> >> | 0 11195 C /home/yugandharv/bin/ffmpeg
>> >> 229MiB |
>> >> | 0 11207 C /home/yugandharv/bin/ffmpeg
>> >> 224MiB |
>> >> | 0 11222 C /home/yugandharv/bin/ffmpeg
>> >> 229MiB |
>> >> | 0 11226 C /home/yugandharv/bin/ffmpeg
>> >> 225MiB |
>> >> | 0 11231 C /home/yugandharv/bin/ffmpeg
>> >> 229MiB |
>> >> | 0 11234 C /home/yugandharv/bin/ffmpeg
>> >> 225MiB |
>> >> | 0 11235 C /home/yugandharv/bin/ffmpeg
>> >> 229MiB |
>> >> | 0 11237 C /home/yugandharv/bin/ffmpeg
>> >> 229MiB |
>> >> | 0 11240 C /home/yugandharv/bin/ffmpeg
>> >> 229MiB |
>> >> | 0 11252 C /home/yugandharv/bin/ffmpeg
>> >> 229MiB |
>> >> | 0 11300 C /home/yugandharv/bin/ffmpeg
>> >> 229MiB |
>> >> | 0 13264 C /home/yugandharv/bin/ffmpeg
>> >> 193MiB |
>> >> | 0 14176 C /home/yugandharv/bin/ffmpeg
>> >> 193MiB |
>> >> | 0 30258 C /home/yugandharv/bin/ffmpeg
>> >> 229MiB |
>> >> +-----------------------------------------------------------
>> >> ------------------+
>> >>
>> >>
>> >> Thanks,
>> >>
>> >> Yugandhar
>> >>
>> >> On Wed, Jul 18, 2018 at 11:55 AM Dennis Mungai <dmngaie at gmail.com>
>> wrote:
>> >>
>> >> > You mentioned 30 streams. And more cause this to "fail".
>> >> >
>> >> > Perhaps the Quadro line has a maximum simultaneous encoder limit of
>> 30,
>> >> > similar to the GeForce's limit of 2?
>> >> >
>> >> > On Wed, Jul 18, 2018, 19:28 Yugandhar Veeramachaneni <
>> >> hello at yugandhar.me>
>> >> > wrote:
>> >> >
>> >> > > Hello everyone,
>> >> > >
>> >> > > I'm currently using an NVIDIA Quadro P4000 GPU to transcode
>> multicast
>> >> UDP
>> >> > > streams to RTMP streams. I have quite about 30 streams running in
>> >> > parallel
>> >> > > on this GPU and I have no problems so far. I tried adding more
>> >> > > today
>> >> and
>> >> > > many of them are failing with this error.
>> >> > >
>> >> > > [h264_nvenc @ 0x55ef24458040] Loaded Nvenc version 8.1
>> >> > > [h264_nvenc @ 0x55ef24458040] Nvenc initialized successfully
>> >> > > [h264_nvenc @ 0x55ef24458040] 1 CUDA capable devices found
>> >> > > [h264_nvenc @ 0x55ef24458040] [ GPU #0 - < Quadro P4000 > has
>> Compute
>> >> SM
>> >> > > 6.1 ]
>> >> > > [h264_nvenc @ 0x55ef24458040] Failed creating CUDA context for
>> NVENC:
>> >> 0x2
>> >> > > [h264_nvenc @ 0x55ef24458040] No NVENC capable devices found
>> >> > > [h264_nvenc @ 0x55ef24458040] Nvenc unloaded
>> >> > >
>> >> > > Full log is pasted at
>> >> > >
>> https://gist.github.com/yugandhar91/47a1c30482d1e89a47f7b6fb6dd420ca
>> >> > >
>> >> > > Can you please point me to my mistake?
>> >> > >
>> >> > > Thanks,
>> >> > >
>> >> > > Yugandhar
>> >> > > _______________________________________________
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