Builder ffmpeg64-solaris10-i386 Build #13457

Results:

Failed shell_2 shell_3 shell_4 shell_5

SourceStamp:

BuildSlave:

Reason:

The SingleBranchScheduler scheduler named 'schedule-ffmpeg64-solaris10-i386' triggered this build

Steps and Logfiles:

1. git update ( 6 secs )
   1. stdio
2. shell 'gsed -i ...' ( 0 secs )
   1. stdio
3. shell_1 'gsed -i ...' ( 0 secs )
   1. stdio
4. shell_2 'gsed -i ...' failed ( 0 secs )
   1. stdio
5. shell_3 './configure --samples="../../../ffmpeg/fate-suite" ...' failed ( 8 secs )
   1. stdio
   2. config.log
6. shell_4 'gmake fate-rsync' failed ( 0 secs )
   1. stdio
7. shell_5 '../../../ffmpeg/fate.sh ../../../ffmpeg/fate_config_64.sh' failed ( 2 secs )
   1. stdio
   2. configure.log
   3. compile.log
   4. test.log

Build Properties:

Forced Build Properties:

Responsible Users:

1. stevxiao

   steven.xiaoohnoyoudont@amd.com

Timing:

All Changes:

:

1. Change #261812

   Category	ffmpeg
   Changed by	stevxiao <steven.xiaoohnoyoudont@amd.com>
   Changed at	Sat 21 Mar 2026 09:25:40
   Repository	https://git.ffmpeg.org/ffmpeg.git
   Project	ffmpeg
   Branch	master
   Revision	a077da895b489852ceb948f077796e250ff48b78

   Comments

   avfilter/dnn_backend_torch: add CUDA/ROCm device support
   Add support for CUDA and ROCm (AMD GPU) devices in the LibTorch DNN
   backend.
   
   This works for both NVIDIA CUDA and AMD ROCm, as PyTorch exposes ROCm
   through the CUDA-compatible API.
   
   Usage:
   
   ./ffmpeg -i input.mp4 -vf scale=224:224,format=rgb24,dnn_processing=dnn_backend=torch:model=sr_model_torch.pt:device=cuda output.mp4
   
   Reviewed-by: Guo Yejun <yejun.guo@intel.com>
   Signed-off-by: younengxiao <steven.xiao@amd.com>

   Changed files

   • libavfilter/dnn/dnn_backend_torch.cpp