Also, I noticed a change on Nvidia Matrix website. I remember previous matrix says 1070ti only 1 NVENC chip. but now it says some 1060ti and 1070ti has 2 NVENC chips. and the strangest thing is: the old model of GTX 1070ti used much less GPU RAM than new GTX 1070ti. for example: old 1070ti used about 80 MB for full gpu based SD channels transcoding. but the new model used 130 MB.
On Thu, Jul 19, 2018 at 9:36 PM, Yang Zhang <[email protected]> wrote: > Sure, > > I am using the latest 390.24 driver. I build the ffmpeg by myself. I > patched the Nvidia driver by forcing FFmpeg link to patched nvidia library. > so this can let you use any version driver also without limits. the command > is generate by software. for example: > > ffmpeg -hwaccel cuvid -hwaccel_device 0 -fflags +discardcorrupt -c:v > h264_cuvid -gpu 0 -probesize 10M -analyzeduration 10M -thread_queue_size > 128 -i /home/test/Videos/boku_no_hero_academia_16.mp4 -filter_complex > hwdownload,format=pix_fmts=nv12,split=outputs=1[hwupload:0]; > [hwupload:0]hwupload=extra_hw_frames=1[map:v:0]; > asplit=outputs=1[map:a:0] -map [map:v:0] -c:v h264_nvenc -flags:v > +global_header+cgop -preset:v hp -profile:v main -g 250 -gpu 0 -b:v:0 3000k > -maxrate:v:0 3500k -bufsize:v:0 7000k -map [map:a:0] -c:a libfdk_aac -ac 2 > -ar 44100 -b:a:0 128k -f tee [f=hls:hls_time=2:hls_list_ > size=5:hls_flags=delete_segments:select=\'v:0,a:0\': > bsfs/v=dump_extra=freq=keyframe]../cache/hls/13/highest.m3u8 -hide_banner > -loglevel info > > To transcoding 60 SD channels the bottleneck is at GPU Memory side. above > command is using full gpu based hardware acceleration. so the GPU RAM > overhead is about 80MB for 1 channel. actually I expect GTX 1070TI 8GB to > transcoding 80 SD channels. but also, same problem with yours. GPU > actually used 6900 MB. but can not transcoding more. > > On Thu, Jul 19, 2018 at 9:29 PM, Yugandhar Veeramachaneni < > [email protected]> wrote: > >> Hi Zhang, >> >> Are you using the driver published by NVIDIA or did you modify anything in >> it? Also, can you please share your full ffmpeg command string that you >> use >> for transcoding 60 SD channels for the sake of the community? >> >> Regards, >> >> Yugandhar >> >> On Thu, Jul 19, 2018 at 8:19 AM Yang Zhang <[email protected]> wrote: >> >> > 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 <[email protected]> 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 <[email protected]> >> 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 <[email protected]> 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 < >> > [email protected]> >> > >> > 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@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 <[email protected] >> > >> > >> 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 < >> > >> >> [email protected]> >> > >> >> > 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 >> > >> >> > > _______________________________________________ >> > >> >> > > ffmpeg-user mailing list >> > >> >> > > [email protected] >> > >> >> > > http://ffmpeg.org/mailman/listinfo/ffmpeg-user >> > >> >> > > >> > >> >> > > To unsubscribe, visit link above, or email >> > >> >> > > [email protected] with subject "unsubscribe". >> > >> >> > _______________________________________________ >> > >> >> > ffmpeg-user mailing list >> > >> >> > [email protected] >> > >> >> > http://ffmpeg.org/mailman/listinfo/ffmpeg-user >> > >> >> > >> > >> >> > To unsubscribe, visit link above, or email >> > >> >> > [email protected] with subject "unsubscribe". >> > >> >> _______________________________________________ >> > >> >> ffmpeg-user mailing list >> > >> >> [email protected] >> > >> >> http://ffmpeg.org/mailman/listinfo/ffmpeg-user >> > >> >> >> > >> >> To unsubscribe, visit link above, or email >> > >> >> [email protected] with subject "unsubscribe". >> > >> >> >> > >> > >> > >> > >> > >> _______________________________________________ >> > >> ffmpeg-user mailing list >> > >> [email protected] >> > >> http://ffmpeg.org/mailman/listinfo/ffmpeg-user >> > >> >> > >> To unsubscribe, visit link above, or email >> > >> [email protected] with subject "unsubscribe". >> > > _______________________________________________ >> > > ffmpeg-user mailing list >> > > [email protected] >> > > http://ffmpeg.org/mailman/listinfo/ffmpeg-user >> > > >> > > To unsubscribe, visit link above, or email >> > > [email protected] with subject "unsubscribe". >> > _______________________________________________ >> > ffmpeg-user mailing list >> > [email protected] >> > http://ffmpeg.org/mailman/listinfo/ffmpeg-user >> > >> > To unsubscribe, visit link above, or email >> > [email protected] with subject "unsubscribe". >> _______________________________________________ >> ffmpeg-user mailing list >> [email protected] >> http://ffmpeg.org/mailman/listinfo/ffmpeg-user >> >> To unsubscribe, visit link above, or email >> [email protected] with subject "unsubscribe". >> > > _______________________________________________ ffmpeg-user mailing list [email protected] http://ffmpeg.org/mailman/listinfo/ffmpeg-user To unsubscribe, visit link above, or email [email protected] with subject "unsubscribe".
