stevxiao a077da895b 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>		2026-03-21 16:25:40 +08:00
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dnn_backend_common.c
dnn_backend_common.h
dnn_backend_openvino.c	all: fix typos found by codespell	2025-08-03 13:48:47 +02:00
dnn_backend_tf.c	avfilter/dnn_backend_tf: fix ctx async field access	2026-03-20 02:22:06 +00:00
dnn_backend_torch.cpp	avfilter/dnn_backend_torch: add CUDA/ROCm device support	2026-03-21 16:25:40 +08:00
dnn_interface.c	avfilter/dnn: fix missing set default value to options	2026-03-06 21:41:11 +08:00
dnn_io_proc.c
dnn_io_proc.h
Makefile
queue.c
queue.h
safe_queue.c
safe_queue.h