feat: M2 zero-copy foundation — EGL→CUDA import + NVENC CUDA-frame path
Scaffolding for dmabuf zero-copy (plan §9), opt-in via LUMEN_ZEROCOPY:
- src/zerocopy/{cuda,egl}.rs: hand-rolled CUDA Driver-API FFI (no Rust crate
exposes the EGL-interop calls / CUeglFrame) with a shared process-wide
CUcontext + pitched device buffers; an EGL importer (GBM platform on the
NVIDIA render node) that turns a dmabuf into an EGLImage, registers it with
CUDA, and copies it device-to-device into an owned buffer. `zerocopy-probe`
subcommand validates the FFI/linking/GPU access — confirmed on the box
(driver 595, EGL_EXT_image_dma_buf_import + modifiers).
- CapturedFrame gains a FramePayload enum (Cpu(Vec<u8>) | Cuda(DeviceBuffer));
the encoder branches: CPU keeps the expand+upload path, CUDA wraps the device
buffer in an AV_PIX_FMT_CUDA frame fed straight to hevc_nvenc (sharing our
CUcontext via a hand-declared AVCUDADeviceContext, since ffmpeg-sys doesn't
bind hwcontext_cuda.h). open_video/the encoder take a `cuda` flag derived from
the first frame's payload.
The capture-side dmabuf negotiation (which produces the Cuda frames) is the
next step; the CPU path is unchanged and remains the default + fallback. Builds
clean, clippy clean, tests pass.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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@@ -58,3 +58,8 @@ opus = "0.3"
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reis = { version = "0.6.1", features = ["tokio"] }
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# `StreamExt::next` on reis's tokio event stream in the libei worker loop.
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futures-util = "0.3"
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# Zero-copy capture (plan §9): EGL imports the PipeWire dmabuf, CUDA maps it, NVENC encodes
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# it with no CPU roundtrip. `khronos-egl` (dynamic = load the NVIDIA libEGL at runtime) gives
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# eglCreateImage + the dma_buf import; the CUDA driver API (EGL interop) and libgbm are linked
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# via hand-rolled FFI in `src/zerocopy/` (no Rust crate exposes the EGL-interop driver calls).
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khronos-egl = { version = "6", features = ["dynamic"] }
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