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• ffmpeg GPU use cuvid with hwdownload will never finished, Appeared only recently

  28 mai 2020, par tags bt

  ffmpeg :

  



  ffmpeg version N-97331-g10a68cc Copyright (c) 2000-2020 the FFmpeg developers
  built with gcc 7 (Ubuntu 7.3.0-16ubuntu3)
  configuration: --pkg-config-flags=--static --prefix=/usr/local/ffmpeg --bindir=/usr/local/ffmpeg/bin --extra-cflags='-I /usr/local/ffmpeg/include -I /usr/local/cuda/include/' --extra-ldflags='-L /usr/local/ffmpeg/lib -L /usr/local/cuda/lib64/' --extra-libs=-lpthread --enable-cuda --enable-cuda-nvcc --enable-cuvid --enable-libnpp --enable-gpl --enable-libass --enable-libfdk-aac --enable-vaapi --enable-libfreetype --enable-libmp3lame --enable-libopus --enable-libtheora --enable-libvorbis --enable-libvpx --enable-libx264 --enable-libx265 --enable-nonfree --enable-libaom --enable-nvenc


  



  nvidia-msi

  



  +-----------------------------------------------------------------------------+
| NVIDIA-SMI 440.82       Driver Version: 440.82       CUDA Version: 10.2     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  GeForce GTX 1080    Off  | 00000000:02:00.0 Off |                  N/A |
|  0%   51C    P8    13W / 200W |     18MiB /  8119MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
|    0     23224      C   ffmpeg                                         8MiB |
+-----------------------------------------------------------------------------+



  



  if i use this command :

  



  ffmpeg -re -threads 0 -loglevel debug -hwaccel cuvid -hwaccel_output_format cuda -i 1.mp4 -c:v h264_nvenc -c:a aac -ac 2 -b:a 128k -strict -2 -filter_complex "[0:v]scale_npp=1280:-2" ouzz2t.mp4


  



  it will very fast.

  



  but if i use this command :

  



  ffmpeg -re -threads 0 -loglevel debug -vsync 0 -hwaccel cuvid -hwaccel_output_format cuda -hwaccel_device intel -i 1.mp4 -c:v h264_nvenc -c:a aac -ac 2 -b:a 128k -strict -2 -filter_complex "[0:v]scale_npp=1280:-2:format=yuv420p[tmp],[tmp]hwdownload,format=yuv420" ouzz2t.mp4


  



  it will never finished, one 40MB mp4 will transcode 44 minutes and not finished.

  



  as you see

  



  +-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
|    0     23224      C   ffmpeg                                         8MiB |
+-----------------------------------------------------------------------------+


  



  it will only use GPU memory 8mib.

  



  and top will show :
enter image description here

  



  delug log :

  



  [AVHWDeviceContext @ 0x561cfaef92c0] Loaded lib: libcuda.so.1
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuInit
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuDeviceGetCount
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuDeviceGet
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuDeviceGetAttribute
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuDeviceGetName
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuDeviceComputeCapability
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuCtxCreate_v2
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuCtxSetLimit
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuCtxPushCurrent_v2
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuCtxPopCurrent_v2
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuCtxDestroy_v2
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuMemAlloc_v2
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuMemAllocPitch_v2
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuMemsetD8Async
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuMemFree_v2
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuMemcpy2D_v2
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuMemcpy2DAsync_v2
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuGetErrorName
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuGetErrorString
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuCtxGetDevice
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuDevicePrimaryCtxRetain
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuDevicePrimaryCtxRelease
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuDevicePrimaryCtxSetFlags
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuDevicePrimaryCtxGetState
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuDevicePrimaryCtxReset
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuStreamCreate
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuStreamQuery
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuStreamSynchronize
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuStreamDestroy_v2
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuStreamAddCallback
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuEventCreate
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuEventDestroy_v2
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuEventSynchronize
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuEventQuery
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuEventRecord
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuLaunchKernel
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuModuleLoadData
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuModuleUnload
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuModuleGetFunction
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuTexObjectCreate
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuTexObjectDestroy
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuGLGetDevices_v2
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuGraphicsGLRegisterImage
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuGraphicsUnregisterResource
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuGraphicsMapResources
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuGraphicsUnmapResources
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuGraphicsSubResourceGetMappedArray
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuDeviceGetUuid
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuImportExternalMemory
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuDestroyExternalMemory
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuExternalMemoryGetMappedBuffer
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuExternalMemoryGetMappedMipmappedArray
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuMipmappedArrayGetLevel
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuMipmappedArrayDestroy
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuImportExternalSemaphore
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuDestroyExternalSemaphore
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuSignalExternalSemaphoresAsync
[AVHWDeviceContext @ 0x561cfaef92c0] Loaded sym: cuWaitExternalSemaphoresAsync



  



  Stop at Loaded sym : cuWaitExternalSemaphoresAsync, and ffmpeg will always 100% cpu and never finished.

  



  Appeared only recently, last week it work fine, but today it work worse.

  



  somebody know what happen to me ?

  


• Revision c5443fc881 : Fix decoder mismatch in sub-pixel SSSE3 intrinsic filters In 8-tap filtering, t

  23 mai 2014, par Yunqing Wang

  Changed Paths :
   Modify /vp9/common/x86/vp9_asm_stubs.c

  
   Modify /vp9/common/x86/vp9_subpixel_8t_intrin_ssse3.c

  
  
  Fix decoder mismatch in sub-pixel SSSE3 intrinsic filters

  In 8-tap filtering, to guarantee the intermediate results fit in
  16 bits, the order of accumulating the products needs to be done
  correctly, and the largest product should be added last. This
  patch fixed the problem using the method in commit "Correct ssse3
  8/16-pixel wide sub-pixel filter calculation".

  Change-Id : I79d0ad60c057b15011ece84cda9648eee0809423

• A/B Testing Platform for Piwik Analytics

  10 novembre 2016, par InnoCraft — Plugins, Press Releases

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