[FFmpeg-user] Compiling ffmpeg with NVENC and NVIDIA GRID K1
Steven Liu
lingjiujianke at gmail.com
Thu Aug 27 10:03:21 CEST 2015
2015-08-27 15:08 GMT+08:00 Steven Liu <lingjiujianke at gmail.com>:
>
>
> 2015-08-27 14:52 GMT+08:00 Steven Liu <lingjiujianke at gmail.com>:
>
>>
>> 2015-06-29 18:12 GMT+08:00 Klaus Schürmann <ks at mediabeam.com>:
>>
>>> Hello,
>>>
>>> I compiled ffmpeg with nvenc support. The compile process worked without
>>> any error. But if I try to convert a file with nvenc I got the error
>>> message "[nvenc @ 0x39dc1c0] CreateInputBuffer failed".
>>>
>>> Can somebody help me to fix this problem?
>>>
>>> Best Regards
>>> Klaus Schuermann
>>>
>>> OS: Ubuntu 14.04.2 LTS
>>> NVidia driver: 346
>>>
>>> Her is the complete output oft he convert job:
>>>
>>> root at video-convert1:~/ffmpeg_sources/ffmpeg_libnvenc# ffmpeg -i
>>> /media/testfile.mkv -r 60 -s 1024x768 -vcodec nvenc -b:v 5750k testfile.mp4
>>> ffmpeg version N-73133-gd7e224e Copyright (c) 2000-2015 the FFmpeg
>>> developers
>>> built with gcc 4.8 (Ubuntu 4.8.4-2ubuntu1~14.04)
>>> configuration: --prefix=/root/ffmpeg_build --pkg-config-flags=--static
>>> --extra-cflags=-I/root/ffmpeg_build/include
>>> --extra-ldflags=-L/root/ffmpeg_build/lib --bindir=/root/bin --enable-gpl
>>> --enable-libass --enable-libfdk-aac --enable-libfreetype
>>> --enable-libmp3lame --enable-libopus --enable-libtheora --enable-libvorbis
>>> --enable-libvpx --enable-libx264 --enable-libx265 --enable-nvenc
>>> --enable-nonfree
>>> libavutil 54. 27.100 / 54. 27.100
>>> libavcodec 56. 44.101 / 56. 44.101
>>> libavformat 56. 38.101 / 56. 38.101
>>> libavdevice 56. 4.100 / 56. 4.100
>>> libavfilter 5. 18.100 / 5. 18.100
>>> libswscale 3. 1.101 / 3. 1.101
>>> libswresample 1. 2.100 / 1. 2.100
>>> libpostproc 53. 3.100 / 53. 3.100
>>> Input #0, matroska,webm, from '/media/testfile.mkv':
>>> Metadata:
>>> encoder : libebml v1.3.0 + libmatroska v1.4.1
>>> creation_time : 2014-09-29 00:31:12
>>> Duration: 00:21:03.51, start: 0.000000, bitrate: 3015 kb/s
>>> Stream #0:0(eng): Video: h264 (High), yuv420p(tv,
>>> bt709/unknown/unknown), 1280x720, SAR 1:1 DAR 16:9, 23.98 fps, 23.98 tbr,
>>> 1k tbn, 47.95 tbc (default)
>>> Stream #0:1: Audio: ac3, 48000 Hz, 5.1(side), fltp, 448 kb/s
>>> (default) [nvenc @ 0x39dc1c0] CreateInputBuffer failed Output #0, mp4, to
>>> 'testfile.mp4':
>>> Metadata:
>>> encoder : libebml v1.3.0 + libmatroska v1.4.1
>>> Stream #0:0(eng): Video: h264, none, q=2-31, 128 kb/s, SAR 4:3 DAR
>>> 0:0, 60 fps (default)
>>> Metadata:
>>> encoder : Lavc56.44.101 nvenc
>>> Stream #0:1: Audio: aac, 0 channels, 128 kb/s (default)
>>> Metadata:
>>> encoder : Lavc56.44.101 libfdk_aac
>>> Stream mapping:
>>> Stream #0:0 -> #0:0 (h264 (native) -> h264 (nvenc))
>>> Stream #0:1 -> #0:1 (ac3 (native) -> aac (libfdk_aac)) Error while
>>> opening encoder for output stream #0:0 - maybe incorrect parameters such as
>>> bit_rate, rate, width or height
>>>
>>> Output of devicequery:
>>>
>>> root at video-convert1:~#
>>> NVIDIA_CUDA-7.0_Samples/1_Utilities/deviceQuery/deviceQuery
>>> NVIDIA_CUDA-7.0_Samples/1_Utilities/deviceQuery/deviceQuery Starting...
>>>
>>> CUDA Device Query (Runtime API) version (CUDART static linking)
>>>
>>> Detected 4 CUDA Capable device(s)
>>>
>>> Device 0: "GRID K1"
>>> CUDA Driver Version / Runtime Version 7.0 / 7.0
>>> CUDA Capability Major/Minor version number: 3.0
>>> Total amount of global memory: 4096 MBytes (4294770688
>>> bytes)
>>> ( 1) Multiprocessors, (192) CUDA Cores/MP: 192 CUDA Cores
>>> GPU Max Clock rate: 850 MHz (0.85 GHz)
>>> Memory Clock rate: 891 Mhz
>>> Memory Bus Width: 128-bit
>>> L2 Cache Size: 262144 bytes
>>> Maximum Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536,
>>> 65536), 3D=(4096, 4096, 4096)
>>> Maximum Layered 1D Texture Size, (num) layers 1D=(16384), 2048 layers
>>> Maximum Layered 2D Texture Size, (num) layers 2D=(16384, 16384), 2048
>>> layers
>>> Total amount of constant memory: 65536 bytes
>>> Total amount of shared memory per block: 49152 bytes
>>> Total number of registers available per block: 65536
>>> Warp size: 32
>>> Maximum number of threads per multiprocessor: 2048
>>> Maximum number of threads per block: 1024
>>> Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
>>> Max dimension size of a grid size (x,y,z): (2147483647, 65535,
>>> 65535)
>>> Maximum memory pitch: 2147483647 bytes
>>> Texture alignment: 512 bytes
>>> Concurrent copy and kernel execution: Yes with 1 copy
>>> engine(s)
>>> Run time limit on kernels: No
>>> Integrated GPU sharing Host Memory: No
>>> Support host page-locked memory mapping: Yes
>>> Alignment requirement for Surfaces: Yes
>>> Device has ECC support: Disabled
>>> Device supports Unified Addressing (UVA): Yes
>>> Device PCI Domain ID / Bus ID / location ID: 0 / 132 / 0
>>> Compute Mode:
>>> < Default (multiple host threads can use ::cudaSetDevice() with
>>> device simultaneously) >
>>>
>>> Device 1: "GRID K1"
>>> CUDA Driver Version / Runtime Version 7.0 / 7.0
>>> CUDA Capability Major/Minor version number: 3.0
>>> Total amount of global memory: 4096 MBytes (4294770688
>>> bytes)
>>> ( 1) Multiprocessors, (192) CUDA Cores/MP: 192 CUDA Cores
>>> GPU Max Clock rate: 850 MHz (0.85 GHz)
>>> Memory Clock rate: 891 Mhz
>>> Memory Bus Width: 128-bit
>>> L2 Cache Size: 262144 bytes
>>> Maximum Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536,
>>> 65536), 3D=(4096, 4096, 4096)
>>> Maximum Layered 1D Texture Size, (num) layers 1D=(16384), 2048 layers
>>> Maximum Layered 2D Texture Size, (num) layers 2D=(16384, 16384), 2048
>>> layers
>>> Total amount of constant memory: 65536 bytes
>>> Total amount of shared memory per block: 49152 bytes
>>> Total number of registers available per block: 65536
>>> Warp size: 32
>>> Maximum number of threads per multiprocessor: 2048
>>> Maximum number of threads per block: 1024
>>> Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
>>> Max dimension size of a grid size (x,y,z): (2147483647, 65535,
>>> 65535)
>>> Maximum memory pitch: 2147483647 bytes
>>> Texture alignment: 512 bytes
>>> Concurrent copy and kernel execution: Yes with 1 copy
>>> engine(s)
>>> Run time limit on kernels: No
>>> Integrated GPU sharing Host Memory: No
>>> Support host page-locked memory mapping: Yes
>>> Alignment requirement for Surfaces: Yes
>>> Device has ECC support: Disabled
>>> Device supports Unified Addressing (UVA): Yes
>>> Device PCI Domain ID / Bus ID / location ID: 0 / 133 / 0
>>> Compute Mode:
>>> < Default (multiple host threads can use ::cudaSetDevice() with
>>> device simultaneously) >
>>>
>>> Device 2: "GRID K1"
>>> CUDA Driver Version / Runtime Version 7.0 / 7.0
>>> CUDA Capability Major/Minor version number: 3.0
>>> Total amount of global memory: 4096 MBytes (4294770688
>>> bytes)
>>> ( 1) Multiprocessors, (192) CUDA Cores/MP: 192 CUDA Cores
>>> GPU Max Clock rate: 850 MHz (0.85 GHz)
>>> Memory Clock rate: 891 Mhz
>>> Memory Bus Width: 128-bit
>>> L2 Cache Size: 262144 bytes
>>> Maximum Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536,
>>> 65536), 3D=(4096, 4096, 4096)
>>> Maximum Layered 1D Texture Size, (num) layers 1D=(16384), 2048 layers
>>> Maximum Layered 2D Texture Size, (num) layers 2D=(16384, 16384), 2048
>>> layers
>>> Total amount of constant memory: 65536 bytes
>>> Total amount of shared memory per block: 49152 bytes
>>> Total number of registers available per block: 65536
>>> Warp size: 32
>>> Maximum number of threads per multiprocessor: 2048
>>> Maximum number of threads per block: 1024
>>> Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
>>> Max dimension size of a grid size (x,y,z): (2147483647, 65535,
>>> 65535)
>>> Maximum memory pitch: 2147483647 bytes
>>> Texture alignment: 512 bytes
>>> Concurrent copy and kernel execution: Yes with 1 copy
>>> engine(s)
>>> Run time limit on kernels: No
>>> Integrated GPU sharing Host Memory: No
>>> Support host page-locked memory mapping: Yes
>>> Alignment requirement for Surfaces: Yes
>>> Device has ECC support: Disabled
>>> Device supports Unified Addressing (UVA): Yes
>>> Device PCI Domain ID / Bus ID / location ID: 0 / 134 / 0
>>> Compute Mode:
>>> < Default (multiple host threads can use ::cudaSetDevice() with
>>> device simultaneously) >
>>>
>>> Device 3: "GRID K1"
>>> CUDA Driver Version / Runtime Version 7.0 / 7.0
>>> CUDA Capability Major/Minor version number: 3.0
>>> Total amount of global memory: 4096 MBytes (4294770688
>>> bytes)
>>> ( 1) Multiprocessors, (192) CUDA Cores/MP: 192 CUDA Cores
>>> GPU Max Clock rate: 850 MHz (0.85 GHz)
>>> Memory Clock rate: 891 Mhz
>>> Memory Bus Width: 128-bit
>>> L2 Cache Size: 262144 bytes
>>> Maximum Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536,
>>> 65536), 3D=(4096, 4096, 4096)
>>> Maximum Layered 1D Texture Size, (num) layers 1D=(16384), 2048 layers
>>> Maximum Layered 2D Texture Size, (num) layers 2D=(16384, 16384), 2048
>>> layers
>>> Total amount of constant memory: 65536 bytes
>>> Total amount of shared memory per block: 49152 bytes
>>> Total number of registers available per block: 65536
>>> Warp size: 32
>>> Maximum number of threads per multiprocessor: 2048
>>> Maximum number of threads per block: 1024
>>> Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
>>> Max dimension size of a grid size (x,y,z): (2147483647, 65535,
>>> 65535)
>>> Maximum memory pitch: 2147483647 bytes
>>> Texture alignment: 512 bytes
>>> Concurrent copy and kernel execution: Yes with 1 copy
>>> engine(s)
>>> Run time limit on kernels: No
>>> Integrated GPU sharing Host Memory: No
>>> Support host page-locked memory mapping: Yes
>>> Alignment requirement for Surfaces: Yes
>>> Device has ECC support: Disabled
>>> Device supports Unified Addressing (UVA): Yes
>>> Device PCI Domain ID / Bus ID / location ID: 0 / 135 / 0
>>> Compute Mode:
>>> < Default (multiple host threads can use ::cudaSetDevice() with
>>> device simultaneously) >
>>> > Peer access from GRID K1 (GPU0) -> GRID K1 (GPU1) : Yes Peer access
>>> > from GRID K1 (GPU0) -> GRID K1 (GPU2) : Yes Peer access from GRID K1
>>> > (GPU0) -> GRID K1 (GPU3) : Yes Peer access from GRID K1 (GPU1) -> GRID
>>> > K1 (GPU1) : No Peer access from GRID K1 (GPU1) -> GRID K1 (GPU2) : Yes
>>> > Peer access from GRID K1 (GPU1) -> GRID K1 (GPU3) : Yes Peer access
>>> > from GRID K1 (GPU2) -> GRID K1 (GPU1) : Yes Peer access from GRID K1
>>> > (GPU2) -> GRID K1 (GPU2) : No Peer access from GRID K1 (GPU2) -> GRID
>>> > K1 (GPU3) : Yes Peer access from GRID K1 (GPU1) -> GRID K1 (GPU0) :
>>> > Yes Peer access from GRID K1 (GPU1) -> GRID K1 (GPU1) : No Peer access
>>> > from GRID K1 (GPU1) -> GRID K1 (GPU2) : Yes Peer access from GRID K1
>>> > (GPU2) -> GRID K1 (GPU0) : Yes Peer access from GRID K1 (GPU2) -> GRID
>>> > K1 (GPU1) : Yes Peer access from GRID K1 (GPU2) -> GRID K1 (GPU2) : No
>>> > Peer access from GRID K1 (GPU3) -> GRID K1 (GPU0) : Yes Peer access
>>> > from GRID K1 (GPU3) -> GRID K1 (GPU1) : Yes Peer access from GRID K1
>>> > (GPU3) -> GRID K1 (GPU2) : Yes
>>>
>>> deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 7.0, CUDA
>>> Runtime Version = 7.0, NumDevs = 4, Device0 = GRID K1, Device1 = GRID K1,
>>> Device2 = GRID K1, Device3 = GRID K1 Result = PASS
>>>
>>
>> I have the same error message, What should we attention? my GPU pcie
>> message bellow:
>>
>>
>> [root at localhost release]# ./deviceQuery
>> ./deviceQuery Starting...
>>
>> CUDA Device Query (Runtime API) version (CUDART static linking)
>>
>> Detected 1 CUDA Capable device(s)
>>
>> Device 0: "Tesla K20c"
>> CUDA Driver Version / Runtime Version 7.0 / 7.0
>> CUDA Capability Major/Minor version number: 3.5
>> Total amount of global memory: 4800 MBytes (5032706048
>> bytes)
>> (13) Multiprocessors, (192) CUDA Cores/MP: 2496 CUDA Cores
>> GPU Max Clock rate: 706 MHz (0.71 GHz)
>> Memory Clock rate: 2600 Mhz
>> Memory Bus Width: 320-bit
>> L2 Cache Size: 1310720 bytes
>> Maximum Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536,
>> 65536), 3D=(4096, 4096, 4096)
>> Maximum Layered 1D Texture Size, (num) layers 1D=(16384), 2048 layers
>> Maximum Layered 2D Texture Size, (num) layers 2D=(16384, 16384), 2048
>> layers
>> Total amount of constant memory: 65536 bytes
>> Total amount of shared memory per block: 49152 bytes
>> Total number of registers available per block: 65536
>> Warp size: 32
>> Maximum number of threads per multiprocessor: 2048
>> Maximum number of threads per block: 1024
>> Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
>> Max dimension size of a grid size (x,y,z): (2147483647, 65535,
>> 65535)
>> Maximum memory pitch: 2147483647 bytes
>> Texture alignment: 512 bytes
>> Concurrent copy and kernel execution: Yes with 2 copy engine(s)
>> Run time limit on kernels: No
>> Integrated GPU sharing Host Memory: No
>> Support host page-locked memory mapping: Yes
>> Alignment requirement for Surfaces: Yes
>> Device has ECC support: Enabled
>> Device supports Unified Addressing (UVA): Yes
>> Device PCI Domain ID / Bus ID / location ID: 0 / 4 / 0
>> Compute Mode:
>> < Default (multiple host threads can use ::cudaSetDevice() with
>> device simultaneously) >
>>
>> deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 7.0, CUDA
>> Runtime Version = 7.0, NumDevs = 1, Device0 = Tesla K20c
>> Result = PASS
>>
>>
> Hi Timo,
>
> I saw the status of 0x0A if header file /usr/include/nvEncodeAPI.h
> perhaps the memory alloc is large?
>
> /* 1MB is large enough to hold most output frames. NVENC increases this
> automaticaly if it's not enough. */
> allocOut.size = 1024 * 1024;
>
> allocOut.memoryHeap = NV_ENC_MEMORY_HEAP_SYSMEM_CACHED;
>
>
> /**
> * This indicates that the API call failed because it was unable to
> allocate
> * enough memory to perform the requested operation.
> */
> NV_ENC_ERR_OUT_OF_MEMORY,
>
>
I make mistake, this is not the error code info,
i got the gdb message is :
Missing separate debuginfo for /lib64/libcuda.so
[nvenc @ 0x1a8f700] 1 CUDA capable devices found
[nvenc @ 0x1a8f700] [ GPU #0 - < Tesla K20c > has Compute SM 3.5, smver 53
target_smver 48 NVENC Available ]
[nvenc @ 0x1a8f700] Nvenc initialized successfully
[New Thread 0x7ffff1906700 (LWP 8614)]
[nvenc @ 0x1a8f700] in for surfaceCount = 0 ctx->max_surface_count = 48
Breakpoint 2, nvenc_encode_init (avctx=0x1a8f700) at
/home/liuqi/ffmpeg/libavcodec/nvenc.c:981
981 nv_status = p_nvenc->nvEncCreateInputBuffer(ctx->nvencoder,
&allocSurf);
(gdb) p allocSurf
$1 = {version = 1342243592, width = 512, height = 288, memoryHeap =
NV_ENC_MEMORY_HEAP_SYSMEM_CACHED, bufferFmt = NV_ENC_BUFFER_FORMAT_YV12_PL,
reserved = 0,
inputBuffer = 0x0, pSysMemBuffer = 0x0, reserved1 = {0 <repeats 57
times>}, reserved2 = {0x0 <repeats 63 times>}}
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