Re: [FFmpeg-devel] Unable to compile with cuda on WSL2

Re: [FFmpeg-devel] Unable to compile with cuda on WSL2

[Dylan Fernando]

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My PATH has /usr/local/cuda-12.1/bin, is this correct?

I installed clang with sudo apt install clang. When I run:
./configure --enable-cuda-llvm --extra-cflags=-I/opt/local/cuda/include
--nvccflags="-gencode arch=compute_52,code=sm_52 -O2"

I get the error:
ERROR: cuda_llvm requested but not found

If you think configure made a mistake, make sure you are using the latest
version from Git.  If the latest version fails, report the problem to the
ffmpeg-user@ffmpeg.org mailing list or IRC #ffmpeg on irc.libera.chat.
Include the log file "ffbuild/config.log" produced by configure as this
will help
solve the problem.

attached full log

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Re: [FFmpeg-devel] Unable to compile with cuda on WSL2

[Timo Rothenpieler]

On 02.04.2023 08:12, Dylan Fernando wrote:
> My PATH has /usr/local/cuda-12.1/bin, is this correct?

I don't know. All ffmpeg needs is a working nvcc on PATH.

> I installed clang with sudo apt install clang. When I run:
> ./configure --enable-cuda-llvm --extra-cflags=-I/opt/local/cuda/include
> --nvccflags="-gencode arch=compute_52,code=sm_52 -O2"
> 
> I get the error:
> ERROR: cuda_llvm requested but not found
> 
> If you think configure made a mistake, make sure you are using the latest
> version from Git.  If the latest version fails, report the problem to the
> ffmpeg-user@ffmpeg.org mailing list or IRC #ffmpeg on irc.libera.chat.
> Include the log file "ffbuild/config.log" produced by configure as this
> will help
> solve the problem.
> 
> attached full log
> 

"clang: error: unknown argument: '-gencode'"
The arguments for clang to control the target cuda arch are different.
I don't know how exactly they look, but you can probably easily find 
examples.
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[FFmpeg-devel] Unable to compile with cuda on WSL2

[Dylan Fernando]

I'm trying to compile on WSL2 Ubuntu with cuda enabled. Command:

./configure --enable-nonfree --enable-cuda-nvcc --extra-c
flags=-I/opt/local/cuda/include --nvccflags="-gencode
arch=compute_52,code=sm_52 -O2"

when compiling, I get the error:
NVCC    libavfilter/vf_bilateral_cuda.ptx
/bin/sh: 1: nvcc: not found
make: *** [ffbuild/common.mak:128: libavfilter/vf_bilateral_cuda.ptx] Error
127

The output when I run nvcc -V is:
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2023 NVIDIA Corporation
Built on Tue_Feb__7_19:32:13_PST_2023
Cuda compilation tools, release 12.1, V12.1.66
Build cuda_12.1.r12.1/compiler.32415258_0

I added this to .bashrc:
export CUDA_HOME=/usr/local/cuda-12.1
export
LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-12.1/lib64:/usr/local/cuda-12.1/extras/CUPTI/lib64
export PATH=$PATH:$CUDA_HOME/bin

Thanks,
Dylan
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Re: [FFmpeg-devel] Unable to compile with cuda on WSL2

[Timo Rothenpieler]

On 01.04.2023 10:41, Dylan Fernando wrote:
> I'm trying to compile on WSL2 Ubuntu with cuda enabled. Command:
> 
> ./configure --enable-nonfree --enable-cuda-nvcc --extra-c
> flags=-I/opt/local/cuda/include --nvccflags="-gencode
> arch=compute_52,code=sm_52 -O2"
> 
> when compiling, I get the error:
> NVCC    libavfilter/vf_bilateral_cuda.ptx
> /bin/sh: 1: nvcc: not found
> make: *** [ffbuild/common.mak:128: libavfilter/vf_bilateral_cuda.ptx] Error
> 127
> 
> The output when I run nvcc -V is:
> nvcc: NVIDIA (R) Cuda compiler driver
> Copyright (c) 2005-2023 NVIDIA Corporation
> Built on Tue_Feb__7_19:32:13_PST_2023
> Cuda compilation tools, release 12.1, V12.1.66
> Build cuda_12.1.r12.1/compiler.32415258_0
> 
> I added this to .bashrc:
> export CUDA_HOME=/usr/local/cuda-12.1
> export
> LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-12.1/lib64:/usr/local/cuda-12.1/extras/CUPTI/lib64
> export PATH=$PATH:$CUDA_HOME/bin
> 
> Thanks,
> Dylan
> _______________________________________________
> ffmpeg-devel mailing list
> ffmpeg-devel@ffmpeg.org
> https://ffmpeg.org/mailman/listinfo/ffmpeg-devel
> 
> To unsubscribe, visit link above, or email
> ffmpeg-devel-request@ffmpeg.org with subject "unsubscribe".

nvcc needs to be in your PATH. LD_LIBRARY_PATH is entirely irrelevant 
for CUDA.
So make sure to fix your PATH.

But really, just install clang and don't bother with proprietary nvcc.

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