feat(cuda): support current CUDA contexts#2339
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WyattBlue
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Jul 13, 2026
Passing an explicit cuda_context no longer requires restating primary_ctx/current_ctx; the flags are validated only when given. current_ctx=True without cuda_context now implies primary_ctx=False. Also document CudaContext and add a changelog entry for #2339.
WyattBlue
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Jul 13, 2026
Passing an explicit cuda_context no longer requires restating primary_ctx/current_ctx; the flags are validated only when given. current_ctx=True without cuda_context now implies primary_ctx=False. Also document CudaContext and add a changelog entry for #2339.
WyattBlue
added a commit
that referenced
this pull request
Jul 13, 2026
Passing an explicit cuda_context no longer requires restating primary_ctx/current_ctx; the flags are validated only when given. current_ctx=True without cuda_context now implies primary_ctx=False. Also document CudaContext and add a changelog entry for #2339.
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PyTorch may initialize the CUDA primary context before PyAV, causing FFmpeg's primary_ctx setup to fail with EOPNOTSUPP. Workaround is obvious but creating a separate context also adds memory and synchronization overhead.
This exposes FFmpeg's current_ctx option through CudaContext and VideoFrame.from_dlpack, allowing callers to reuse the active context. Existing defaults remain unchanged.