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We also recommend that a file or class name and description of purpose be included on the same "printed page" as the copyright notice for easier identification within third-party archives. + +Copyright 2026 dagstack + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + +http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. diff --git a/README.md b/README.md new file mode 100644 index 0000000..4004930 --- /dev/null +++ b/README.md @@ -0,0 +1,58 @@ +# cuframes-docs + +Source for https://cuframes.dev — documentation for the [cuframes](https://git.goldix.org/gx/cuframes) library. + +Built with [Docusaurus 3](https://docusaurus.io/) by the dagstack docs convention. + +## Local development + +```bash +cd site +npm install +npm start # http://localhost:3000 +``` + +## Build (static output) + +```bash +cd site +npm run build # → site/build/ +npm run serve # preview localhost +``` + +## i18n + +EN is the source of truth, RU is a translation in `site/i18n/ru/`. + +To regenerate RU stubs after adding new EN pages: + +```bash +cd site +npm run write-translations -- --locale ru +``` + +Translate the new files manually (no MT integration yet). + +## Structure + +``` +site/ +├── docs/ # EN content +│ ├── intro.mdx # landing +│ ├── getting-started/ +│ ├── concepts/ +│ ├── integration/ +│ ├── reference/ +│ └── faq.md +├── i18n/ru/ # RU translations (parallel structure) +├── docusaurus.config.ts +├── sidebars.ts +└── src/css/custom.css +``` + +Sidebars are autogenerated from directory structure. Order via `_category_.json` + frontmatter `sidebar_position`. + +## License + +This documentation repo: Apache-2.0 (same as other `*-docs` repos in the org). +cuframes library itself: LGPL-2.1+. diff --git a/site/docs/concepts/_category_.json b/site/docs/concepts/_category_.json new file mode 100644 index 0000000..92c46fe --- /dev/null +++ b/site/docs/concepts/_category_.json @@ -0,0 +1,7 @@ +{ + "label": "Concepts", + "position": 3, + "collapsible": true, + "collapsed": false, + "link": null +} diff --git a/site/docs/concepts/frame-vs-packet-ring.md b/site/docs/concepts/frame-vs-packet-ring.md new file mode 100644 index 0000000..04af9d3 --- /dev/null +++ b/site/docs/concepts/frame-vs-packet-ring.md @@ -0,0 +1,118 @@ +--- +title: Frame ring vs Packet ring +sidebar_position: 1 +--- + +# Frame ring vs Packet ring + +cuframes даёт publisher'у два **независимых** ring buffer'а с разной семантикой и разной стоимостью: + +- **Frame ring** — decoded NV12 (или другой pixel format), shared zero-copy через CUDA VMM. +- **Packet ring** — encoded H.264 / H.265 NAL units, shared через POSIX shared memory. + +Это два разных канала на одной паре publisher↔subscriber. Можно использовать один, оба, или иметь несколько consumer'ов где одни читают frame ring, другие — packet ring. + +## Зачем два канала + +Один публикатор обычно обслуживает разные классы потребителей. AI-детектор и GPU-композитор хотят уже decoded GPU pointer (frame ring); NVR-recorder и replay-сервис хотят compact encoded stream (packet ring). Заставлять recorder декодировать ради того чтобы потом снова enkode'нуть для сохранения — пустая работа. + +```mermaid +flowchart LR + RTSP[RTSP camera] --> Dec[NVDEC decode] + Dec --> Pub[Publisher] + Pub -- frame ring
CUDA VMM --> AI[AI inference
GPU consumer] + Pub -- frame ring
CUDA VMM --> Comp[GPU compositor
CUDA filter] + Pub -- packet ring
POSIX shm --> NVR[NVR / recorder
mp4 mux] + Pub -- packet ring
POSIX shm --> Replay[Replay / seek service] +``` + +## Frame ring + +**Что:** ring из N CUDA-allocated slot'ов (`cuMemCreate(POSIX_FILE_DESCRIPTOR)`), экспортируются через `SCM_RIGHTS` consumer'у, импортируются через `cuMemImportFromShareableHandle`. Consumer получает CUDA device pointer на ту же физическую HBM-память что и publisher. + +**Когда использовать:** + +- consumer работает на GPU и хочет данные as-is (AI inference, CUDA filter, NVENC re-encode на другом codec); +- латентность критична — между publish и consume hardware coherence, без encode/decode roundtrip; +- consumer декодировать сам не хочет. + +**Стоимость:** `ring_size × frame_size` GPU-памяти на publisher. Для NV12 1920×1080 ring=4 это ≈ 12 MiB на publisher (VMM granularity на RTX 5090 — 2 MiB, реально ≈ 16 MiB). Consumer'ы memory не платят — это та же физическая память. + +API: + +```c +cuframes_publisher_create(&cfg, &pub); // ring аллоцируется +cuframes_publisher_acquire(pub, &cuda_ptr); // получаем slot +// ... NVDEC / kernel пишут в cuda_ptr ... +cuframes_publisher_publish(pub, stream, pts_ns); +``` + +## Packet ring + +**Что:** ring slot'ов с metadata (pts, dts, size, flags) + отдельный data section (default 8 MiB) в POSIX shm `/dev/shm/cuframes--packets`. Publisher закидывает туда encoded NAL units (Annex B byte stream). + +**Когда использовать:** + +- consumer декодирует сам (FFmpeg demuxer, recorder, на остальном GPU нет места); +- нужен compact stream для записи на диск; +- late subscriber должен сам resync'нуться от ближайшего keyframe — это семантика ring'а (см. [protocol reference](/docs/reference/protocol)). + +**Стоимость:** POSIX shm на host — `data_size + ring_slots × 64 байта`. На GPU расход нулевой. + +Packet ring **опционален и отдельно активируется** на уже созданном publisher'е: + +```c +cuframes_publisher_create(&cfg, &pub); + +cuframes_packet_ring_options_t pkt_opts = { + .ring_slots = 64, + .data_size = 8 * 1024 * 1024, + .max_packet_size = 2 * 1024 * 1024, + .codec_id = 27, // AV_CODEC_ID_H264 +}; +cuframes_publisher_enable_packets(pub, &pkt_opts); +cuframes_publisher_set_codec_extradata(pub, sps_pps, sps_pps_size); + +// в цикле: +cuframes_publisher_publish_packet(pub, nal_data, nal_size, + pts_ns, dts_ns, + CUFRAMES_PKT_FLAG_KEY); +``` + +Аналогично на subscriber'е: + +```c +cuframes_subscriber_create(&cfg, &sub); +cuframes_subscriber_enable_packets(sub); // открывает второй SHM + +cuframes_packet_t *pkt; +cuframes_subscriber_next_packet(sub, &pkt, -1); +``` + +Подписчик может включить любую комбинацию: только frame ring, только packet ring, оба сразу. Это два независимых SHM segment'а с разными magic. + +## Сравнение + +| | Frame ring | Packet ring | +|---|---|---| +| Содержимое | Decoded NV12 / RGB / etc | Encoded H.264 / H.265 NAL | +| Транспорт | CUDA VMM + POSIX FD | POSIX shm | +| Sync mechanism | atomic seq + `cuStreamSynchronize` | atomic seq (нет CUDA) | +| Latency publish→consume | sub-frame, без encode roundtrip | sub-frame, но consumer декодирует | +| Memory cost (publisher) | `ring_size × frame_size` GPU | `data_size` host shm | +| Memory cost (consumer) | 0 (shared physical pages) | 0 (mmap same shm) | +| Требует CUDA на consumer | да | нет | +| Late join semantics | newest frame doc'умен | resync на last keyframe | +| Typical use case | AI inference, GPU compositor | NVR recording, replay | + +## Можно ли один без другого + +Да. Frame ring аллоцируется в `cuframes_publisher_create` — без него publisher вообще не существует. Packet ring опционален: если `cuframes_publisher_enable_packets` не вызвать, publisher просто не примет `publish_packet`, а subscriber на `enable_packets` получит `CUFRAMES_ERR_NOT_FOUND`. + +Обратное (packet ring без frame ring) в текущем API не поддерживается — для pure encoded-only сценариев это TODO будущей версии. + +## Следующее + +- [Ownership modes](/docs/concepts/ownership-modes) — как выбрать кто аллоцирует ring. +- [Synchronization](/docs/concepts/sync-vmm-stream) — почему frame ring sync через stream sync, а не через CUDA events. +- [First publisher](/docs/getting-started/first-publisher) — рабочий C-пример без packet ring. diff --git a/site/docs/concepts/ownership-modes.md b/site/docs/concepts/ownership-modes.md new file mode 100644 index 0000000..b2011ad --- /dev/null +++ b/site/docs/concepts/ownership-modes.md @@ -0,0 +1,119 @@ +--- +title: Ownership modes +sidebar_position: 2 +--- + +# Ownership modes + +Кто владеет CUDA-памятью в которую publisher пишет frame'ы — сама библиотека или внешний код. В заголовке `cuframes.h` объявлены оба варианта: + +```c +typedef enum cuframes_ownership_mode { + CUFRAMES_OWNERSHIP_LIBRARY = 0, + CUFRAMES_OWNERSHIP_EXTERNAL = 1, +} cuframes_ownership_mode_t; +``` + +Но в v0.4 **работает только `LIBRARY`**. `EXTERNAL` оставлен в API для бинарной совместимости и помечен deprecated. Ниже — почему и что с этим делать если ваш код раньше использовал EXTERNAL. + +## LIBRARY mode (единственный рабочий в v0.4) + +Publisher просит библиотеку аллоцировать ring заданного размера. Каждый кадр publisher получает чистый slot, пишет в него, отдаёт обратно через publish. + +```c +cuframes_publisher_config_t cfg = { + .key = "cam1", + .width = 1920, + .height = 1080, + .format = CUFRAMES_FORMAT_NV12, + .ownership = CUFRAMES_OWNERSHIP_LIBRARY, + .ring_size = 4, + .policy = CUFRAMES_POLICY_DROP_OLDEST, +}; +cuframes_publisher_t *pub; +cuframes_publisher_create(&cfg, &pub); + +void *slot; +cuframes_publisher_acquire(pub, &slot); +// NVDEC / cuMemcpy / kernel пишет в slot +cuframes_publisher_publish(pub, stream, cuframes_now_ns()); +``` + +Под капотом библиотека: + +1. Аллоцирует `ring_size` слотов через `cuMemCreate(CU_MEM_HANDLE_TYPE_POSIX_FILE_DESCRIPTOR)`. +2. `cuMemMap` + `cuMemSetAccess` чтобы локальный publisher мог писать. +3. При subscribe передаёт POSIX FD через `sendmsg(SCM_RIGHTS)`. +4. Subscriber делает `cuMemImportFromShareableHandle` — получает указатель на ту же физическую HBM. + +Этот путь zero-copy для consumer'ов. На publisher'е memory overhead = `ring_size × frame_size`. На consumer'е — ноль. + +## EXTERNAL mode (deprecated в v0.4) + +Идея была: publisher уже имеет CUDA pointer'ы из чужого pool'а (FFmpeg `AVHWFramesContext`, NVDEC output, DeepStream, какой-то custom decoder) и хочет их просто пошарить, без extra allocation и без D2D copy. + +```c +// Так раньше работало в v0.1–0.3. В v0.4 не работает. +cuframes_publisher_create_external(&cfg, ffmpeg_pool_ptrs, + pool_size, frame_size, &pub); +``` + +В v0.4 этот путь сломан by design. + +### Почему EXTERNAL не работает с VMM + +cuframes v0.4 публикует frame'ы через POSIX FD, потому что это единственный CUDA-IPC канал который **не требует shared PID namespace** (см. [memory note про v0.4](/docs/intro) и [sync writeup](/docs/concepts/sync-vmm-stream)). FD получается через `cuMemExportToShareableHandle` — а эта функция **требует** чтобы память была аллоцирована через `cuMemCreate` с соответствующим `requestedHandleType`. + +Существующий `cudaMalloc` / `cudaMallocPitch` pointer (тот что отдаёт FFmpeg или DeepStream) к VMM не относится. Экспортировать его как POSIX FD нечем. Старый путь v0.3 использовал `cudaIpcGetMemHandle` (opaque 64-байтовая структура, передавалась через socket payload) — он работал с любой памятью, но требовал shared PID. На v0.4 от него ушли осознанно. + +### Что делать вместо + +Если у вас уже есть GPU pool из FFmpeg / NVDEC / etc — переходите на LIBRARY mode с одним extra device-to-device copy: + +```c +// FFmpeg выдаёт frame в hwframe pool: +AVFrame *src = ...; // src->data[0] = cudaMalloc'd by FFmpeg + +void *slot; +cuframes_publisher_acquire(pub, &slot); + +// 1 × DtoD copy с pitch: +cuMemcpy2DAsync(&(CUDA_MEMCPY2D){ + .srcMemoryType = CU_MEMORYTYPE_DEVICE, + .srcDevice = (CUdeviceptr)src->data[0], + .srcPitch = src->linesize[0], + .dstMemoryType = CU_MEMORYTYPE_DEVICE, + .dstDevice = (CUdeviceptr)slot, + .dstPitch = pub_pitch, + .WidthInBytes = width, + .Height = height_y + height_uv, +}, stream); + +cuframes_publisher_publish(pub, stream, pts_ns); +``` + +Так переведён инструмент `cuframes-rtsp-source` в составе репозитория cuframes — раньше он принимал FFmpeg pool через EXTERNAL, теперь делает acquire + 1 D2D copy. Overhead — единичный DtoD на 1920×1080 NV12 это десятки микросекунд, в порядке шума на фоне `cuStreamSynchronize`. + +### Memory trade-off + +| | LIBRARY (v0.4) | EXTERNAL (v0.3, deprecated) | +|---|---|---| +| Publisher extra alloc | `ring_size × frame_size` | 0 | +| D2D copy per frame | 1 (если есть upstream pool) или 0 (если decoder пишет прямо в slot) | 0 | +| Zero-copy для consumers | да | да | +| Работает без shared PID | да | нет | +| Поддерживается в v0.4 | да | **нет** | + +Если decoder можно научить писать прямо в slot (`acquire` сначала, потом decode в полученный pointer) — extra D2D исчезает. Так делает `cuframes-rtsp-source` со своим NVDEC pipeline'ом. + +## Вернётся ли EXTERNAL + +Если NVIDIA добавит способ экспорта `cudaMalloc`-памяти как POSIX FD — да, это вернёт zero-D2D путь без жертвования cross-namespace. На момент CUDA 12.4 такого API нет, и в roadmap NVIDIA это не анонсировано. На практике рассчитывать на это не стоит. + +Поле `ownership` в `cuframes_publisher_config_t` остаётся ради ABI стабильности. Передача `CUFRAMES_OWNERSHIP_EXTERNAL` в v0.4 вернёт `CUFRAMES_ERR_INVALID_ARG`. Вызов `cuframes_publisher_create_external` объявлен в заголовке, но возвращает ту же ошибку. + +## Следующее + +- [Synchronization](/docs/concepts/sync-vmm-stream) — почему v0.4 ушёл от CUDA events и почему это связано с тем же VMM-ограничением. +- [First publisher](/docs/getting-started/first-publisher) — рабочий LIBRARY-mode пример. +- [Protocol reference](/docs/reference/protocol) — wire format VMM_FDS handshake. diff --git a/site/docs/concepts/sync-vmm-stream.md b/site/docs/concepts/sync-vmm-stream.md new file mode 100644 index 0000000..a7f3dea --- /dev/null +++ b/site/docs/concepts/sync-vmm-stream.md @@ -0,0 +1,121 @@ +--- +title: "Synchronization: stream sync, not CUDA events" +sidebar_position: 3 +--- + +# Synchronization: stream sync, not CUDA events + +Между producer'ом и consumer'ом в разных процессах нужен механизм, который гарантирует: к моменту когда consumer начинает читать slot, **все GPU writes producer'а в этот slot уже зафиксированы в HBM**. До v0.4 этим занимались CUDA IPC events. С v0.4 — `cuStreamSynchronize` + atomic ordering. Смена не косметическая, и здесь объяснено почему. + +## Что было в v0.3 — CUDA IPC events + +Producer на каждый publish делал `cudaEventRecord` на свой stream. Handle event'а (`cudaIpcEventHandle_t`) экспортировался один раз при старте и шарился со всеми subscriber'ами. Subscriber на каждый frame делал `cudaStreamWaitEvent` на свой stream — GPU scheduler сам ждал completion record'а producer'а перед тем как пустить DtoD copy в очередь. + +Преимущество: CPU не блокируется. Producer кидает работу в очередь и едет дальше; ожидание происходит в GPU command queue. + +Недостаток: **CUDA IPC events требуют shared PID namespace между процессами** — точно так же как требовал `cudaIpcOpenMemHandle`. NVIDIA Driver API экспортирует event handle только через тот же legacy IPC механизм, для которого нет POSIX FD аналога. `CU_MEM_HANDLE_TYPE_POSIX_FILE_DESCRIPTOR` существует для memory, для events — нет. + +Этот недостаток нас и убил на Frigate. Frigate под s6-overlay не отдаёт share PID — а попытка `cudaIpcOpenEventHandle` без shared PID падает молча и subscribe зависает на первом frame timeout'ом. См. [memory feedback про pid share](/docs/intro). + +## Что делает v0.4 вместо + +Producer перед публикацией seq делает **`cuStreamSynchronize`** на тот stream куда писались GPU данные. Это блокирующая CPU-операция — функция возвращается только когда все pending writes этого stream'а зафиксированы. После этого atomic store в shared header. + +Из `producer.c::do_publish` (v0.4): + +```c +static int do_publish(cuframes_publisher_t *pub, int32_t slot, + void *stream, int64_t pts_ns) +{ + /* 1. ждём GPU writes этого stream'а */ + cuStreamSynchronize((CUstream)stream); + + /* 2. обнуляем ack-bitmap для нового seq */ + atomic_store_explicit(&pub->hdr->slots[slot].ack_bitmap, 0, + memory_order_release); + atomic_store_explicit(&pub->hdr->slots[slot].pts_ns, pts_ns, + memory_order_release); + + /* 3. publish slot.seq — после этого consumer его увидит */ + atomic_store_explicit(&pub->hdr->slots[slot].seq, pub->next_seq, + memory_order_release); + + /* 4. publish global_seq — wake-up для poll'ящих consumer'ов */ + atomic_store_explicit(&pub->hdr->global_seq, pub->next_seq, + memory_order_release); + return 0; +} +``` + +Consumer на той стороне (`consumer.c`) делает acquire-load, читает slot, и **повторно проверяет seq** уже после того как зафиксировал указатель — это защита от того что producer успел перезаписать slot между чтением `global_seq` и реальным копированием: + +```c +uint64_t gs = atomic_load_explicit(&sub->hdr->global_seq, memory_order_acquire); +// ... найти slot_idx по gs ... +uint64_t slot_seq = atomic_load_explicit(&sub->hdr->slots[slot_idx].seq, + memory_order_acquire); +int64_t pts = atomic_load_explicit(&sub->hdr->slots[slot_idx].pts_ns, + memory_order_acquire); + +/* v0.4: producer уже cuStreamSynchronize'нул перед atomic_store seq. + * post-check verify_seq защищает от перезаписи slot'а producer'ом. */ +uint64_t verify_seq = atomic_load_explicit(&sub->hdr->slots[slot_idx].seq, + memory_order_acquire); +``` + +После post-check consumer делает DtoD memcpy в свой stream. На одном GPU **hardware coherence гарантирована** — HBM один, кэш L2 общий, после `cuStreamSynchronize` producer'а все его writes уже в L2/HBM, и любой subsequent kernel/copy с того же GPU их увидит. + +## Sequence diagram + +```mermaid +sequenceDiagram + participant PApp as Publisher app + participant PStream as Publisher CUDA stream + participant HBM as GPU HBM (shared) + participant Header as SHM header (atomic) + participant CApp as Consumer app + participant CStream as Consumer CUDA stream + + PApp->>PStream: kernel / NVDEC writes + Note over PStream,HBM: async — pending in stream + PApp->>PStream: cuStreamSynchronize + PStream-->>HBM: all writes flushed + PStream-->>PApp: return (CPU unblocked) + PApp->>Header: atomic_store(seq, release) + + loop poll + CApp->>Header: atomic_load(global_seq, acquire) + end + CApp->>Header: read pts, slot_seq + CApp->>Header: atomic_load(slot_seq, acquire) [verify] + CApp->>CStream: cuMemcpyDtoDAsync(slot → dst) + CStream->>HBM: read — sees flushed data + CStream-->>CApp: copy enqueued +``` + +## Trade-offs + +| | v0.3 (CUDA IPC events) | v0.4 (stream sync) | +|---|---|---| +| Cross-namespace (без shared PID) | **нет** | да | +| CPU блокировка на publish | нет | да, ~1 ms | +| GPU command queue ordering | автоматически | вручную (acquire/release) | +| Лишний race без post-check | нет | да, защищён verify_seq | +| Зависимость от CUDA Driver feature | `cudaIpcGetEventHandle` | `cuStreamSynchronize` (всегда есть) | +| Совместимость с s6-overlay / Frigate | сломано | работает | + +`cuStreamSynchronize` стоит порядка миллисекунды (зависит от того сколько pending work на stream'е). На 25 fps publisher это ≈ 2.5% CPU времени publisher thread'а — заметно, но не критично для real-time CCTV. Если для вашего сценария это дорого — возможна оптимизация через `cuEventQuery` polling, но v0.4 этого пока не делает (sync проще, корректнее, и достаточно дёшев). + +Отказ от events — это не "лучше или хуже", это смена области применения. v0.3 не работал в s6/Frigate. v0.4 работает, ценой ~1ms CPU per publish. + +## Что это означает для разработчика + +- Передавайте в `cuframes_publisher_publish` **тот же stream**, на котором писались данные. Иначе `cuStreamSynchronize` будет ждать чужие writes (в худшем случае — никаких) и data race вернётся. +- `stream = NULL` (default stream) допустим, но default stream сериализуется со всем GPU контекстом — это обычно медленнее чем dedicated stream. +- Consumer не должен полагаться на CUDA event sync — его больше нет. Stream sync на producer'е + atomic ordering на consumer'е заменяют всю старую IPC event machinery. + +## Следующее + +- [Frame ring vs Packet ring](/docs/concepts/frame-vs-packet-ring) — packet ring sync проще, там нет CUDA вообще. +- [Ownership modes](/docs/concepts/ownership-modes) — почему VMM ограничение убрало и EXTERNAL и события одновременно. +- [Protocol reference](/docs/reference/protocol) — точный layout shared header и atomic-полей. diff --git a/site/docs/faq.md b/site/docs/faq.md new file mode 100644 index 0000000..151e398 --- /dev/null +++ b/site/docs/faq.md @@ -0,0 +1,105 @@ +--- +title: FAQ +sidebar_position: 99 +--- + +# Frequently Asked Questions + +## Is cuframes production-ready? + +Honest answer: **early but tested in one real deployment**. v0.4 has been running 24+ hours in a CCTV setup (4 IP cameras → publisher → 2 subscribers: NVR record + grid composer → TV) without intervention. That's not "battle-tested at scale" — that's "one engineer's home setup". + +We recommend cuframes if: + +- You're building your own video pipeline and understand the risks of adopting an OSS library at v0.x. +- Your team can read the source if something breaks (it's ~2k lines of C). +- You'd rather pin a known commit than chase semver promises. + +We don't recommend cuframes if: + +- You need vendor support contracts. +- You're shipping to customers who'd file an incident on the maintainer's email at 3 AM. +- You can't afford to write a workaround if a feature lands wrong. + +## How does cuframes compare to DeepStream? + +| | cuframes | NVIDIA DeepStream | +| --------------------- | ------------------------- | ------------------------- | +| Scope | Library (data plane only) | Full SDK + runtime | +| License | LGPL-2.1+ | Proprietary EULA | +| Footprint | ~140 KB `.so` | Multi-GB runtime | +| Lock-in | None — you own the pipeline | Pipeline = DeepStream plugins | +| Cross-process sharing | Native (this is the point) | Inside one process tree | +| Support | Best-effort GitHub | Paid enterprise | +| Learning curve | Hours | Weeks | + +cuframes is **not** trying to replace DeepStream. It solves one specific problem: "I have one CUDA decoder and multiple processes that want the decoded frames without re-decoding." + +## Why not GStreamer? + +GStreamer has `cudaupload` / `cudadownload` elements but no zero-copy cross-process model — every consumer pulls its own pipeline. You can hack around with `shmsink` / `shmsrc` but you lose CUDA-residency (frames bounce through CPU memory). cuframes specifically avoids that round trip. + +## Why not DMA-BUF + V4L2? + +That's the modern kernel-native path and works cross-vendor. We considered it. Reasons we went with CUDA VMM: + +- Our target was NVIDIA-only anyway (existing CUDA decode pipeline). +- DMA-BUF integration with CUDA requires `EGLStream` interop boilerplate — more code than VMM + POSIX FD path. +- Driver support varies by GPU age; CUDA VMM is stable since CUDA 10.2. + +If your project is cross-vendor, DMA-BUF is the right choice and cuframes is not for you. + +## Can I use this on Windows? + +No. Implementation uses POSIX shared memory (`shm_open`), Unix sockets, and `SCM_RIGHTS` file descriptor passing. Porting to Windows would require: + +- Windows shared memory primitives (`CreateFileMapping`). +- Different FD-sharing mechanism (`DuplicateHandle` via named pipe). +- CUDA VMM `WIN32_HANDLE` instead of `POSIX_FILE_DESCRIPTOR`. + +Not on the roadmap. PRs welcome. + +## Can publisher and consumer be on different machines? + +No. POSIX file descriptors don't traverse a network. For cross-host video sharing you need a different transport: RTSP, SRT, NDI, or roll your own with shared-memory NIC RDMA. cuframes is strictly same-host. + +## What if the publisher dies while consumer is reading? + +Consumer's next `cuframes_subscriber_next()` returns `CUFRAMES_ERR_DISCONNECTED`. Consumer should: + +1. Call `cuframes_subscriber_destroy()`. +2. Wait (e.g., 1–2 sec backoff). +3. Try `cuframes_subscriber_create()` again with the same key. + +The FFmpeg demuxer (`cuframes://`) does this automatically — every 2 seconds re-subscribes and returns `EAGAIN` to the avformat layer instead of `EOF`. See `libavformat/cuframesdec.c` if you're reimplementing this for another framework. + +## Can I have multiple publishers on the same key? + +No. Each key (`/run/cuframes/.sock` + `/dev/shm/cuframes-`) maps to exactly one publisher. The publisher detects "already running" on `create()` via shm header + PID liveness check and fails with `CUFRAMES_ERR_ALREADY_EXISTS`. + +For load balancing or HA scenarios you'd need to layer your own naming scheme on top (e.g., `cam1-primary`, `cam1-backup`, and consumer logic to pick which to subscribe to). + +## How many subscribers can a publisher handle? + +`CUFRAMES_MAX_SUBSCRIBERS = 32` (bitmap-limited). Bumping this requires a protocol version change because the bitmap is in the SHM header. + +In practice we run 2–3 subscribers per camera (NVR + AI inference + grid composer). 32 is more than enough. + +## License questions + +LGPL-2.1+. You can use cuframes in commercial closed-source products as long as: + +- Dynamic linking (the `.so` is replaceable by the end user). +- Any modifications to `libcuframes` itself are published under LGPL. + +Static linking pulls the whole project under LGPL — usually not what you want. + +If LGPL is incompatible with your use case (e.g., embedded with no replaceable library), reach out before forking. + +## Where do I report bugs / contribute? + +- Source repo: https://git.goldix.org/gx/cuframes +- Issues: same repo `/issues` +- Contributing guide: `CONTRIBUTING.md` in the source tree + +This documentation site lives separately at https://git.goldix.org/gx/cuframes-docs — typo fixes and content PRs land via the same Gitea. diff --git a/site/docs/getting-started/_category_.json b/site/docs/getting-started/_category_.json new file mode 100644 index 0000000..bc63ed4 --- /dev/null +++ b/site/docs/getting-started/_category_.json @@ -0,0 +1,7 @@ +{ + "label": "Getting started", + "position": 2, + "collapsible": true, + "collapsed": false, + "link": null +} diff --git a/site/docs/getting-started/first-publisher.md b/site/docs/getting-started/first-publisher.md new file mode 100644 index 0000000..31247c7 --- /dev/null +++ b/site/docs/getting-started/first-publisher.md @@ -0,0 +1,110 @@ +--- +title: First publisher +sidebar_position: 2 +--- + +# First publisher + +A minimal publisher that exposes a CUDA-resident ring of 4 NV12 frames at 1920×1080 and writes 10 frames into it. Each frame is filled with a single-byte pattern via `cudaMemsetAsync`, so a subscriber can later verify the contents end-to-end. + +This is a stripped-down version of [`spike/smoke_v04/smoke_pub.c`](https://git.goldix.org/gx/cuframes/src/branch/main/spike/smoke_v04/smoke_pub.c) in the cuframes repo. + +## Source + +```c +/* first_publisher.c — publish 10 NV12 1920x1080 frames, then exit. */ +#include +#include +#include +#include + +int main(int argc, char **argv) { + const char *key = argc > 1 ? argv[1] : "mykey"; + + cuframes_publisher_config_t cfg = {0}; + cfg.key = key; + cfg.width = 1920; + cfg.height = 1080; + cfg.format = CUFRAMES_FORMAT_NV12; + cfg.ownership = CUFRAMES_OWNERSHIP_LIBRARY; + cfg.ring_size = 4; + cfg.policy = CUFRAMES_POLICY_DROP_OLDEST; + cfg.cuda_device = 0; + + cuframes_publisher_t *pub = NULL; + int r = cuframes_publisher_create(&cfg, &pub); + if (r != CUFRAMES_OK) { + fprintf(stderr, "create: %s\n", cuframes_strerror(r)); + return 1; + } + + cudaStream_t stream; + cudaStreamCreate(&stream); + + for (int i = 0; i < 10; i++) { + void *ptr = NULL; + if ((r = cuframes_publisher_acquire(pub, &ptr)) != CUFRAMES_OK) break; + + /* NV12 = Y plane + interleaved UV plane = width*height*3/2 bytes */ + cudaMemsetAsync(ptr, (uint8_t)i, 1920 * 1080 * 3 / 2, stream); + + r = cuframes_publisher_publish(pub, stream, cuframes_now_ns()); + if (r != CUFRAMES_OK) break; + + struct timespec ts = {.tv_nsec = 40000000}; /* 25 fps */ + nanosleep(&ts, NULL); + } + + cudaStreamDestroy(stream); + cuframes_publisher_destroy(pub); + return r == CUFRAMES_OK ? 0 : 1; +} +``` + +## Walk-through + +**`cuframes_publisher_config_t cfg = {0};`** — always zero-initialise. The struct has a `_reserved[4]` field that must stay zero for forward ABI compatibility. + +**`cfg.key = "mykey"`** — uniquely names the publisher within the host. It becomes the path component of the Unix socket (`/run/cuframes/mykey.sock`) and of the POSIX SHM segment (`/dev/shm/cuframes-mykey`). Two publishers cannot share a key — the second one gets `CUFRAMES_ERR_ALREADY_EXISTS`. + +**`cfg.format = CUFRAMES_FORMAT_NV12`** plus `width`/`height` — frame geometry is fixed for the lifetime of the publisher. Subscribers see exactly these dimensions. + +**`cfg.ownership = CUFRAMES_OWNERSHIP_LIBRARY`** — the library allocates the CUDA ring buffer itself. The alternative, `CUFRAMES_OWNERSHIP_EXTERNAL`, lets you hand in pre-allocated device pointers (typically from a FFmpeg `AVHWFramesContext` pool). For details see [Concepts → Ownership modes](/docs/concepts/ownership-modes). + +**`cfg.ring_size = 4`** — number of frame slots. 2 is the minimum, 4 a reasonable default, 16 the cap. With `DROP_OLDEST` policy a slow consumer simply misses frames; the publisher never blocks. + +**`cuframes_publisher_acquire(pub, &ptr)`** — returns a CUDA device pointer to the next writable slot. Valid only until the matching `publish()` call. + +**`cudaMemsetAsync(ptr, ..., stream)`** — fill the frame on a CUDA stream of your choice. You do **not** have to synchronize this stream before publishing. The library will issue `cudaEventRecord` on the same stream inside `publish()`, and each subscriber will `cudaStreamWaitEvent` on its own stream before reading. This is the cross-process synchronization contract — see [Concepts → Cross-process sync](/docs/concepts/cross-process-sync). + +**`cuframes_publisher_publish(pub, stream, pts_ns)`** — make the slot visible to subscribers. The `pts_ns` is opaque to the library; the recommended source is `cuframes_now_ns()` (CLOCK_MONOTONIC in nanoseconds). + +**Cleanup** — `cuframes_publisher_destroy()` closes the socket, unlinks the SHM segment and releases the CUDA pool. + +## Compile + +```bash +gcc -O2 -I/usr/local/include -I/usr/local/cuda/include \ + -o first_publisher first_publisher.c \ + -L/usr/local/lib -lcuframes \ + -L/usr/local/cuda/lib64 -lcudart -lcuda +``` + +If you built cuframes without `cmake --install`, point `-I` and `-L` at your `build/` tree (`-I./include -L./build/libcuframes`). + +## Run + +```bash +./first_publisher mykey +``` + +While running, the process owns: + +- `/run/cuframes/mykey.sock` — the handshake / control socket +- `/dev/shm/cuframes-mykey` — the shared metadata header (SHM) + +Both are removed on clean shutdown. If the publisher crashes, stale files may remain; the next start re-creates them. + +## Next + +Open a second terminal and wire up a [First subscriber](./first-subscriber.md) that reads these frames and validates the pattern. For the full API surface see [Reference → C API](/docs/reference/api-c). diff --git a/site/docs/getting-started/first-subscriber.md b/site/docs/getting-started/first-subscriber.md new file mode 100644 index 0000000..3aa0eea --- /dev/null +++ b/site/docs/getting-started/first-subscriber.md @@ -0,0 +1,145 @@ +--- +title: First subscriber +sidebar_position: 3 +--- + +# First subscriber + +A minimal subscriber that connects to the publisher from [First publisher](./first-publisher.md), reads 10 frames, and checks that every byte of each frame matches the publisher-side pattern. + +This is a stripped-down version of [`spike/smoke_v04/smoke_sub.c`](https://git.goldix.org/gx/cuframes/src/branch/main/spike/smoke_v04/smoke_sub.c). + +## Source + +```c +/* first_subscriber.c — connect, read 10 frames, verify pattern. */ +#include +#include +#include +#include + +int main(int argc, char **argv) { + const char *key = argc > 1 ? argv[1] : "mykey"; + + cuframes_subscriber_config_t cfg = {0}; + cfg.key = key; + cfg.consumer_name = "first-sub"; + cfg.mode = CUFRAMES_MODE_NEWEST_ONLY; + cfg.cuda_device = 0; + cfg.connect_timeout_ms = 5000; + + cuframes_subscriber_t *sub = NULL; + int r = cuframes_subscriber_create(&cfg, &sub); + if (r != CUFRAMES_OK) { + fprintf(stderr, "create: %s\n", cuframes_strerror(r)); + return 1; + } + + cudaStream_t stream; + cudaStreamCreate(&stream); + + const size_t sample = 1024; /* check first 1 KiB of each frame */ + uint8_t *host = malloc(sample); + + int frames = 0, good = 0; + while (frames < 10) { + cuframes_frame_t *f = NULL; + r = cuframes_subscriber_next(sub, stream, &f, 2000); + if (r != CUFRAMES_OK) { + fprintf(stderr, "next: %s\n", cuframes_strerror(r)); + break; + } + + cudaMemcpyAsync(host, cuframes_frame_cuda_ptr(f), sample, + cudaMemcpyDeviceToHost, stream); + cudaStreamSynchronize(stream); + + int mismatch = 0; + for (size_t i = 1; i < sample; i++) + if (host[i] != host[0]) mismatch++; + if (mismatch == 0) good++; + + printf("seq=%lu pts_ns=%lld pitch_y=%d byte0=0x%02x mismatch=%d\n", + (unsigned long)cuframes_frame_seq(f), + (long long)cuframes_frame_pts_ns(f), + cuframes_frame_pitch_y(f), + host[0], mismatch); + + cuframes_subscriber_release(sub, f); + frames++; + } + + free(host); + cudaStreamDestroy(stream); + cuframes_subscriber_destroy(sub); + return (good == frames && frames > 0) ? 0 : 1; +} +``` + +## Walk-through + +**`cfg.key`** — must match the publisher's key exactly. The subscriber finds the publisher by `connect()`-ing to `/run/cuframes/.sock`. + +**`cfg.consumer_name = "first-sub"`** — identifies this subscriber inside the publisher's ACK bitmap. It must be unique among live subscribers of the same publisher; a collision returns `CUFRAMES_ERR_ALREADY_EXISTS`. If you pass `NULL` the library generates `subscriber--`. A publisher accepts up to 32 simultaneous subscribers. + +**`cfg.mode = CUFRAMES_MODE_NEWEST_ONLY`** — the subscriber always jumps to the latest published frame and skips any frames the publisher produced while the previous `next()` call was being processed. Use `CUFRAMES_MODE_STRICT_ORDER` if you must see every frame in seq order; in that mode a ring overflow surfaces as `CUFRAMES_ERR_DISCONNECTED`. + +**`cfg.connect_timeout_ms = 5000`** — how long `create()` waits for the publisher to exist. `0` fails immediately with `CUFRAMES_ERR_NOT_FOUND`, `-1` waits forever. + +**`cfg.cuda_device`** — must equal the publisher's `cuda_device`. CUDA IPC handles are not portable across devices. + +**`cuframes_subscriber_next(sub, stream, &f, 2000)`** — block up to 2 s for the next frame. The library internally issues `cudaStreamWaitEvent` on your `stream` against the publisher's record-event, so any kernel you launch on `stream` after `next()` returns is guaranteed to see the producer's writes. If you read with `cudaMemcpyDeviceToHost`, queue it on the same stream — that is what makes the cross-process sync work. + +**Frame accessors** — `cuframes_frame_cuda_ptr()` (device pointer, read-only), `cuframes_frame_format()`, `cuframes_frame_pitch_y()` / `_pitch_uv()`, `cuframes_frame_seq()` (monotonic per publisher), `cuframes_frame_pts_ns()` (publisher-side CLOCK_MONOTONIC). After `release()` the handle is invalid — do not call any accessor on it. + +**`cuframes_subscriber_release(sub, f)`** — acknowledges the slot back to the publisher. The publisher needs this only when running with `CUFRAMES_POLICY_STRICT_WAIT`; under the default `DROP_OLDEST` it is still required to free the consumer-side handle. NULL is a no-op. + +## Compile + +```bash +gcc -O2 -I/usr/local/include -I/usr/local/cuda/include \ + -o first_subscriber first_subscriber.c \ + -L/usr/local/lib -lcuframes \ + -L/usr/local/cuda/lib64 -lcudart -lcuda +``` + +## Run + +In one terminal, start the publisher from the previous page: + +```bash +./first_publisher mykey +``` + +In another terminal: + +```bash +./first_subscriber mykey +``` + +Expected output is 10 lines with rising `seq` and `mismatch=0`. + +## Docker note + +The subscriber must share the publisher's **IPC namespace** (so it can `shm_open` the same `/dev/shm/cuframes-mykey` header). It does **not** need to share the PID namespace — this is a v0.4 change. The old v0.1 / v0.2 requirement of `--pid=container:` is gone because handles travel as POSIX file descriptors over the Unix socket (`SCM_RIGHTS`), not as CUDA IPC mem-handles. + +```bash +docker run --rm --runtime=nvidia \ + --ipc=container:cuframes-pub \ + -v /run/cuframes:/run/cuframes:ro \ + gx/cuframes:0.4 ./first_subscriber mykey +``` + +## Handling disconnects + +If the publisher exits or crashes while you are looping, the next `cuframes_subscriber_next()` returns `CUFRAMES_ERR_DISCONNECTED`. The handle is then dead — destroy it and (optionally) reconnect: + +```c +if (r == CUFRAMES_ERR_DISCONNECTED) { + cuframes_subscriber_destroy(sub); + sub = NULL; + /* sleep + retry cuframes_subscriber_create(&cfg, &sub) */ +} +``` + +A reconnect pattern, including back-off and `consumer_name` reuse caveats, is covered in [Concepts → Reconnect](/docs/concepts/reconnect). diff --git a/site/docs/getting-started/install.md b/site/docs/getting-started/install.md new file mode 100644 index 0000000..787987d --- /dev/null +++ b/site/docs/getting-started/install.md @@ -0,0 +1,110 @@ +--- +title: Install +sidebar_position: 1 +--- + +# Install + +cuframes is **Linux only**. The IPC mechanism relies on POSIX shared memory and `SCM_RIGHTS` file-descriptor passing over Unix sockets. Windows, macOS and WSL2 are not supported. + +You also need an NVIDIA GPU with compute capability ≥ 7.5 (Turing or newer) and a CUDA 12+ driver. See [Concepts → Requirements](/docs/concepts/requirements) for the full matrix. + +## Option 1 — Pre-built Docker image (recommended for trying it out) + +The runtime image ships `libcuframes.so` and the `cuframes-rtsp-source` bridge tool on top of `nvidia/cuda:12.4.1-runtime`. + +```bash +docker pull gx/cuframes:0.4 +``` + +Smoke check: + +```bash +docker run --rm --runtime=nvidia gx/cuframes:0.4 \ + /usr/local/bin/cuframes-rtsp-source --help +``` + +To run a publisher and a subscriber from two containers, the **publisher** container must start with `--ipc=shareable` and the **subscriber** must share its IPC namespace via `--ipc=container:`. PID namespace sharing is **not** required since v0.4 — handles are exchanged as POSIX file descriptors over the Unix socket. + +```bash +# Publisher +docker run -d --name cuframes-pub --runtime=nvidia --ipc=shareable \ + -v /run/cuframes:/run/cuframes \ + gx/cuframes:0.4 \ + /usr/local/bin/cuframes-rtsp-source --rtsp 'rtsp://...' --key cam1 + +# Subscriber +docker run --rm --runtime=nvidia \ + --ipc=container:cuframes-pub \ + -v /run/cuframes:/run/cuframes:ro \ + gx/cuframes:0.4 \ + /usr/local/bin/sub_count --key cam1 --max-frames 100 +``` + +See [Concepts → Docker IPC](/docs/concepts/docker-ipc) for the underlying namespace rules. + +## Option 2 — Build from source + +### Build requirements + +| | Minimum | +|---|---| +| CUDA Toolkit | 12.0 | +| NVIDIA driver | 525 | +| CMake | 3.20 | +| GCC / Clang | 11 / 14 | +| FFmpeg dev libs | libavcodec, libavformat, libavutil (only for `cuframes-rtsp-source`) | + +On Ubuntu 22.04 / 24.04: + +```bash +sudo apt-get install -y \ + build-essential cmake ninja-build pkg-config \ + libavcodec-dev libavformat-dev libavutil-dev +``` + +### Configure and build + +```bash +git clone https://git.goldix.org/gx/cuframes.git +cd cuframes +cmake -B build -S . -G Ninja -DCMAKE_BUILD_TYPE=Release +cmake --build build --parallel +``` + +This produces: + +- `build/libcuframes/libcuframes.so` — the shared library +- `build/tools/cuframes-rtsp-source/cuframes-rtsp-source` — the RTSP bridge +- `build/examples/sub_count/sub_count` — reference subscriber + +### Install system-wide + +```bash +sudo cmake --install build --prefix /usr/local +sudo ldconfig +``` + +Headers land in `/usr/local/include/cuframes/`, the library in `/usr/local/lib/`. + +### Build options + +| Option | Default | Notes | +|---|---|---| +| `BUILD_TOOLS` | `ON` | `cuframes-rtsp-source` (needs FFmpeg dev libs) | +| `BUILD_EXAMPLES` | `ON` | `sub_count` reference subscriber | +| `BUILD_TESTING` | `ON` | unit + stress tests | +| `BUILD_FFMPEG_FILTER` | `OFF` | out-of-tree, requires a patched FFmpeg tree | +| `BUILD_PYTHON_BINDINGS` | `OFF` | planned | + +## Option 3 — apt / dpkg packages + +Coming when v1.0 ships. Until then, use the Docker image or build from source. + +## Verify the install + +```bash +cuframes-rtsp-source --help +``` + +If the binary is on `PATH` and prints its usage banner, the runtime is wired up. To verify that the library itself is loadable from your own code, jump to [First publisher](./first-publisher.md). diff --git a/site/docs/integration/_category_.json b/site/docs/integration/_category_.json new file mode 100644 index 0000000..29ef378 --- /dev/null +++ b/site/docs/integration/_category_.json @@ -0,0 +1,7 @@ +{ + "label": "Integration", + "position": 4, + "collapsible": true, + "collapsed": false, + "link": null +} diff --git a/site/docs/integration/ffmpeg-demuxer.md b/site/docs/integration/ffmpeg-demuxer.md new file mode 100644 index 0000000..6e79e80 --- /dev/null +++ b/site/docs/integration/ffmpeg-demuxer.md @@ -0,0 +1,125 @@ +--- +title: FFmpeg cuframes:// demuxer +sidebar_position: 1 +--- + +# FFmpeg `cuframes://` demuxer + +cuframes ships two FFmpeg input demuxers, both delivered as a patch on top of upstream FFmpeg: + +- **`cuframes`** — subscribes to a decoded NV12 frame ring and exposes it as a `rawvideo` stream (one stream per URL). +- **`cuframes_packets`** — subscribes to an encoded packet ring and exposes it as an `h264` / `hevc` byte-stream, with `extradata` taken from the publisher's handshake. + +Both demuxers are pure consumers. They never decode, never re-encode, and never touch the network — the actual RTSP pull happens once in the publisher (typically [`cuframes-rtsp-source`](/docs/getting-started/install)). FFmpeg just attaches to the existing ring via a Unix socket. + +## URL scheme + +```text +cuframes:// # decoded NV12 frames (raw GPU surfaces) +cuframes_packets:// # encoded H264/HEVC packets (Annex-B) +``` + +`` is the publisher's key — the same string passed to `cuframes_publisher_create()` or to `--key` on `cuframes-rtsp-source`. The legacy `cuframes:` form (no `//`) is also accepted. + +The two ring types are independent. A single publisher can expose both: decoded frames for compositors / AI, encoded packets for recorders that want to skip a re-encode. + +## What the demuxer does + +On open, the demuxer: + +1. Connects to `/run/cuframes/.sock`. +2. Receives N POSIX file descriptors via `SCM_RIGHTS` (frame slots) plus the shm metadata header. +3. For `cuframes`: imports each FD as a CUDA VMM allocation, advertises a single `AV_PIX_FMT_NV12` stream at the publisher's width/height/framerate. +4. For `cuframes_packets`: reads `extradata` (SPS/PPS for H264, VPS/SPS/PPS for HEVC) from the handshake and advertises one `AV_CODEC_ID_H264` or `AV_CODEC_ID_HEVC` stream. + +In the read loop the demuxer polls the publisher's `global_seq`, copies the frame / packet into the pipeline, and stamps `pts` from the publisher's clock. See [Protocol reference](/docs/reference/protocol) for the wire format. + +## Pipeline examples + +### Single source — decoded ring → NVENC → MPEG-TS + +Re-encode a published camera into an H.264 MPEG-TS UDP stream. No NVDEC happens in this ffmpeg — the publisher already decoded once, this process just NVENCs the shared NV12 surface. + +```bash +ffmpeg -hwaccel cuda -hwaccel_output_format cuda \ + -f cuframes -i cuframes://cam-parking \ + -c:v h264_nvenc -preset p4 -b:v 4M \ + -f mpegts udp://192.168.88.50:5000 +``` + +### Packet ring — true copy, no decode and no encode + +When you only need to record or restream an existing camera and do not care about the decoded pixels, subscribe to the **packet** ring with `-c:v copy`. Both NVDEC and NVENC stay idle. + +```bash +ffmpeg -f cuframes_packets -i cuframes_packets://cam-parking \ + -c:v copy -f mp4 /var/recordings/cam-parking.mp4 +``` + +This is the cheapest way to fan out a single decode to N recorders. + +### Composition — 4 inputs into a CUDA grid + +A short example of multi-input wiring. The full filter reference lives in [FFmpeg `vf_cuda_grid` filter](/docs/integration/ffmpeg-filter). + +```bash +ffmpeg \ + -hwaccel cuda -hwaccel_output_format cuda \ + -f cuframes -i cuframes://cam1 \ + -f cuframes -i cuframes://cam2 \ + -f cuframes -i cuframes://cam3 \ + -f cuframes -i cuframes://cam4 \ + -filter_complex "[0:v][1:v][2:v][3:v]cuda_grid=layout=quad[out]" \ + -map "[out]" -c:v h264_nvenc -preset p4 \ + -f rtsp rtsp://127.0.0.1:8554/grid +``` + +## Build / run with the patched FFmpeg + +The demuxers live in `libavformat/cuframesdec.c` and `libavformat/cuframes_packetsdec.c` and are not in upstream FFmpeg. You have two options. + +### Option A — pre-built Docker image + +A production-tested image is published as `ffmpeg-vf-cuda-grid:phase8`. It contains the patched ffmpeg binary, `libcuframes.so`, and the `vf_cuda_grid` filter. The reference `docker compose` setup that wires it together with a publisher container lives in the `localhost-infra` repo — copy and adapt, do not pin it as a public dependency. + +```bash +docker run --rm --runtime=nvidia \ + --ipc=container:cuframes-publisher \ + ffmpeg-vf-cuda-grid:phase8 \ + ffmpeg -f cuframes -i cuframes://cam1 -c:v copy -f null - +``` + +The `--ipc=container:...` flag matches the publisher's IPC namespace so the POSIX shm header is visible. PID namespace sharing is **not** required since cuframes v0.4. + +### Option B — build it yourself + +Use the `ffmpeg-builds` toolchain (a fork of `BtbN/FFmpeg-Builds`). The script `scripts.d/50-libcuframes.sh` clones cuframes, builds it static, and `--enable-libcuframes` is appended automatically when the `cuframes` addin is active. + +```bash +git clone ffmpeg-builds +cd ffmpeg-builds +ADDITIONAL_SCRIPTS=50-libcuframes.sh ./build.sh +``` + +The patched ffmpeg source tree (with both demuxers and the filter) lives in `ffmpeg-fresh/`. If you want to vendor the patch into your own FFmpeg fork, copy the three files (`libavformat/cuframesdec.c`, `libavformat/cuframes_packetsdec.c`, `libavfilter/vf_cuda_grid.c`) plus the matching `Makefile` and `allformats.c` / `allfilters.c` registrations. + +## Reconnect behaviour + +Publishers come and go — container restarts, RTSP camera reboots, the host's `cuframes-rtsp-source` is updated. The demuxer is designed to **survive a publisher restart without tearing down the FFmpeg pipeline**. + +When the subscriber sees `CUFRAMES_ERR_DISCONNECTED`: + +- The demuxer does **not** return `AVERROR_EOF`. +- It releases the dead subscriber and tries `cuframes_subscriber_create()` again, rate-limited to **one attempt every 2 seconds**. +- While reconnecting, `av_read_frame()` returns `AVERROR(EAGAIN)`. The pipeline blocks but stays alive. +- On success the demuxer logs `cuframes: reconnected to ''` at `INFO` level and resumes delivering frames. + +This matters for long-running consumers (NVR recorders, RTSP restreamers, NVENC composers) that would otherwise need an external supervisor to restart ffmpeg on every publisher hiccup. + +If you actually want EOF on disconnect — e.g. a one-shot transcode that should stop when the source dies — wrap the demuxer with `-timeout` or your own watchdog. The built-in behaviour is "wait forever", not "fail fast". + +## See also + +- [First publisher](/docs/getting-started/first-publisher) — minimal C producer. +- [Protocol reference](/docs/reference/protocol) — wire format and handshake. +- [`vf_cuda_grid` filter](/docs/integration/ffmpeg-filter) — multi-camera composition. diff --git a/site/docs/integration/ffmpeg-filter.md b/site/docs/integration/ffmpeg-filter.md new file mode 100644 index 0000000..6b8abe3 --- /dev/null +++ b/site/docs/integration/ffmpeg-filter.md @@ -0,0 +1,103 @@ +--- +title: FFmpeg vf_cuda_grid filter (CCTV grid composition) +sidebar_position: 2 +--- + +# FFmpeg `vf_cuda_grid` filter + +`vf_cuda_grid` is a CUDA-accelerated multi-input grid compositor for CCTV-style live walls — N camera streams in, one composed frame out, all on the GPU. + +:::note Not part of cuframes +`vf_cuda_grid` is a **separate, out-of-tree FFmpeg filter** maintained as its own project ([git.goldix.org/gx/vf-cuda-grid](https://git.goldix.org/gx/vf-cuda-grid)). It happens to ship in the same patched FFmpeg image as the cuframes demuxers, and it is the canonical consumer that shows what cuframes is actually *for*. But it is not part of the cuframes library and follows its own release cycle. + +This page is a quick pointer so the integration story is end-to-end readable. For full options, layout templates, ZMQ command protocol and overlay rendering details, see the upstream project. +::: + +## Why it exists + +A typical CCTV TV-wall pipeline needs: + +- Decode 4–16 cameras once (the cuframes publishers do this with NVDEC). +- Compose them into a single grid layout (single / quad / main + previews / …). +- Re-encode the composed frame with NVENC and push it as RTSP / SRT to displays. + +Doing this with standard FFmpeg filters means CPU round-trips (`hwdownload` / `hwupload`), which kills frame rate at 4K. `vf_cuda_grid` stays in CUDA memory end-to-end — the input surfaces come straight from the cuframes ring, are placed into a single output CUDA frame via `cuMemcpy2DAsync`, and handed to `h264_nvenc` without ever leaving the GPU. + +## Quick example — 4 cameras into a 2×2 quad + +```bash +ffmpeg \ + -hwaccel cuda -hwaccel_output_format cuda \ + -f cuframes -i cuframes://cam1 \ + -f cuframes -i cuframes://cam2 \ + -f cuframes -i cuframes://cam3 \ + -f cuframes -i cuframes://cam4 \ + -filter_complex "[0:v][1:v][2:v][3:v]cuda_grid=layout=quad[out]" \ + -map "[out]" \ + -c:v h264_nvenc -preset p4 -tune ll -b:v 8M \ + -f rtsp rtsp://127.0.0.1:8554/wall +``` + +All four inputs are decoded NV12 surfaces shared from publisher processes. The filter never sees CPU memory. Encoder gets a CUDA frame. + +## Layout templates + +The filter currently ships these templates (defined in `libavfilter/vf_cuda_grid.c`): + +- `single` — one input, full canvas. Useful for runtime layout switching (start with quad, switch to fullscreen on a single camera). +- `dual_h`, `dual_v` — two inputs, horizontal / vertical split. +- `quad` — four inputs, 2×2. +- `main_plus_preview` — one large cell plus a row of three smaller ones. + +Select via `layout=`. Output canvas dimensions default to the first input's resolution and are configurable via filter options. + +## Runtime control via ZMQ + +The filter exposes two commands through FFmpeg's `process_command` mechanism (which the `zmq` filter forwards): + +- `set_layout ` — swap the active layout template without restarting the pipeline. Bounded by `max_cells` (compile-time max so the input pads do not need to be re-added). +- `add_overlay ` — draw a colored rectangle / text / image overlay inside a specific cell (e.g. a red border on a camera with motion, a timestamp on cell 0). + +The argument format and full overlay semantics live in the upstream project's docs. + +:::tip ZMQ argument quoting +When passing ZMQ commands from a shell, the command + args **must** be a single quoted argument — otherwise FFmpeg's ZMQ filter parses only the command and silently drops the rest. This has bitten enough people to mention here: + +```bash +# correct +echo "Parsed_cuda_grid_0 set_layout main_plus_preview" | zmqsend + +# wrong — args silently dropped +echo Parsed_cuda_grid_0 set_layout main_plus_preview | zmqsend +``` +::: + +## Production pipeline + +A real CCTV-wall pipeline (multiple publishers, the filter, NVENC, an RTSP server, plus the ZMQ controller for layout switching) is wired together in the `localhost-infra` repo as `docker-compose.phase7.yml` (or whatever is current — check the repo). It is the most up-to-date reference for what flags actually work together and which images to pin. + +**Do not copy a compose snippet from this page** — by the time you read it the image tags will have drifted. Open the live file in `localhost-infra` and adapt from there. + +The general shape is: + +```text +[ cuframes-rtsp-source × N ] (publishers, one per camera) + │ + │ cuframes://camN (decoded NV12, shared via SCM_RIGHTS) + ▼ +[ ffmpeg + vf_cuda_grid ] (composer, GPU-side) + │ + │ H264 NVENC + ▼ +[ mediamtx ] (RTSP / WebRTC fan-out) + │ + ▼ +[ TV / browser ] +``` + +A separate small controller process talks to the composer over ZMQ to switch layouts on user input. + +## See also + +- [`cuframes://` demuxer](/docs/integration/ffmpeg-demuxer) — how the inputs get into FFmpeg. +- Upstream filter project — [git.goldix.org/gx/vf-cuda-grid](https://git.goldix.org/gx/vf-cuda-grid) — full reference, build instructions, ZMQ protocol, overlay types. diff --git a/site/docs/integration/python.md b/site/docs/integration/python.md new file mode 100644 index 0000000..d4df92a --- /dev/null +++ b/site/docs/integration/python.md @@ -0,0 +1,47 @@ +--- +title: Python bindings +sidebar_position: 3 +--- + +# Python bindings + +**Status: planned for v0.5+. Not shipped yet.** + +This page is a placeholder so the integration story is honest about what exists and what does not. If you need Python access to cuframes today, read [Workaround for v0.4](#workaround-for-v04) below. + +## What v0.5+ will ship + +A small `cuframes` Python package, distributed as a wheel, providing: + +- **`ctypes`-based bindings** around the existing C API (`cuframes_publisher_create`, `cuframes_subscriber_create`, `cuframes_acquire`, `cuframes_release`, etc.). No new ABI, no SWIG, no C++ wrapper. +- **Zero-copy NumPy / PyTorch access** to the decoded NV12 surface via the [CUDA Array Interface](https://numba.readthedocs.io/en/stable/cuda/cuda_array_interface.html). A subscribed frame is exposed as a CuPy / PyTorch tensor that points at the same GPU memory the publisher wrote — no `cudaMemcpy` to host, no copy on the device either. +- **Context-manager API** for acquire / release so frame slots cannot leak across exceptions. + +Target use cases: + +- **PyTorch inference on shared frames** — a detector / classifier subscribes to `cuframes://camN`, gets a tensor, runs `model(tensor)` directly. Today this requires either re-decoding the RTSP stream or copying frames over a Unix pipe. +- **OpenCV CUDA processing** — `cv2.cuda_GpuMat` constructed from the cuframes pointer, then any cv2.cuda op (resize, color convert, optical flow) runs in place. +- **Quick prototyping** — a Jupyter notebook that subscribes to a live camera, slices out a region of interest, and visualises it without spinning up a full FFmpeg pipeline. + +There is no plan to add CPU-side NumPy fallback. Frames are GPU surfaces; if you want them on the CPU you do an explicit `tensor.cpu()` and accept the copy. + +## Workaround for v0.4 + +Until the bindings ship, the supported path is to call `libcuframes.so` directly from Python using `ctypes` or `cffi`. The C API is small (≈ 10 functions) and stable within a v0.x release. + +Realistically though, most v0.4 deployments do **not** call cuframes from Python at all. They use the existing C/FFmpeg path: + +- For inference: subscribe to the **packet** ring with `ffmpeg -f cuframes_packets -i cuframes_packets://camN` and pipe decoded frames into your Python process. You lose zero-copy but gain a working pipeline today. +- For prototyping: use the C examples in [`examples/`](https://git.goldix.org/gx/cuframes) as your starting point. + +If you need a Python-side zero-copy path *right now*, you are going to write the `ctypes` wrappers yourself. Mirror the prototypes from [`include/cuframes/cuframes.h`](/docs/reference/protocol), keep handles opaque (`void *`), and use `cuMemAlloc` / CuPy `UnownedMemory` to view the imported VMM allocation. Expect rough edges — the v0.5 bindings exist precisely because this is not fun to do by hand. + +## Track progress + +Roadmap and milestone notes for the Python package live in [`ROADMAP.md`](https://git.goldix.org/gx/cuframes) in the cuframes repo. v0.5 also gates on the HEVC packet-ring path and a small ABI cleanup, so the bindings are not the only thing on that release. + +## See also + +- [Install](/docs/getting-started/install) — get `libcuframes.so` onto your system so the bindings will have something to load. +- [Protocol reference](/docs/reference/protocol) — the C API surface the bindings will mirror. +- [FFmpeg `cuframes://` demuxer](/docs/integration/ffmpeg-demuxer) — today's practical path for getting cuframes data into any non-C consumer. diff --git a/site/docs/intro.mdx b/site/docs/intro.mdx new file mode 100644 index 0000000..80ec58b --- /dev/null +++ b/site/docs/intro.mdx @@ -0,0 +1,59 @@ +--- +title: What is cuframes +sidebar_position: 1 +slug: /intro +--- + +# cuframes + +**Zero-copy decoded video frames over CUDA, shared across processes — without pid namespace sharing.** + +Pure C library (LGPL-2.1+) для передачи decoded NV12 frames между Linux-процессами через CUDA VMM + POSIX file descriptors. Никаких re-encode, ни CPU-side memcpy, ни Unix-pipe сериализации — consumer получает указатель на ту же GPU-память что и producer. + +```mermaid +flowchart LR + RTSP[RTSP camera] --> Pub[Publisher
NVDEC → VMM pool] + Pub -- POSIX FD via SCM_RIGHTS --> Sub1[Subscriber 1
FFmpeg detect] + Pub -- POSIX FD via SCM_RIGHTS --> Sub2[Subscriber 2
FFmpeg compose] + Pub -- POSIX FD via SCM_RIGHTS --> Sub3[Subscriber 3
AI inference] +``` + +## Status + +**v0.4 — early but production-tested.** Single deployment в реальной CCTV-системе (4 IP-cameras, NVENC re-encode chain, 25 fps). Не enterprise-ready: один maintainer, нет paid support, ABI ломался 4 раза за месяц разработки. + +Подходит если ты строишь свой video pipeline и понимаешь риски OSS-библиотеки на ранней стадии. Не подходит как drop-in замена DeepStream / GStreamer для enterprise-сценариев. + +## Why + +Типичный кейс — один декодер RTSP-камеры, несколько consumer'ов (NVR-запись, AI-детектор, live-композитор для TV). Без cuframes: + +- **Naive путь:** каждый consumer открывает свой RTSP-stream → N×NVDEC + N×NIC. Если камер 10, потребителей 3 — это 30 параллельных декодов. +- **DeepStream:** работает, но vendor lock-in, тяжёлый runtime, лицензионные ограничения. +- **CUDA IPC handles напрямую:** требуют shared PID namespace между процессами. Frigate, Docker-стек на k8s — это часто несовместимо. + +cuframes решает третью проблему: один decoder publish'ит, любое число consumer'ов subscribe'ятся через unix socket, FD'ы передаются через `SCM_RIGHTS`, никакого pid sharing не нужно. + +## Что cuframes не делает + +- **Encoded video.** Frame ring — это decoded NV12. Для encoded H.264/H.265 packet stream есть отдельный packet ring (Annex-B byte stream через POSIX shm). +- **Cross-host.** Только same-machine — POSIX FD не передаётся через сеть. +- **Cross-vendor.** Только NVIDIA — `cuMemCreate` это CUDA API. AMD HIP / Intel oneAPI пока не поддерживаются. +- **Windows.** Только Linux (POSIX shm + Unix sockets + SCM_RIGHTS). +- **HA / failover.** Один producer per key — если падает, consumers видят `CUFRAMES_ERR_DISCONNECTED` и сами решают что делать. + +## Architecture in 30 seconds + +- **Producer** (`cuframes_publisher_create`) — allocates N×frame VMM pool (`cuMemCreate(POSIX_FILE_DESCRIPTOR)`), opens Unix socket `/run/cuframes/.sock`, opens POSIX shm `/dev/shm/cuframes-` для metadata header. +- **Subscriber** (`cuframes_subscriber_create`) — connects socket, handshake-receives N file descriptors через `SCM_RIGHTS`, imports их через `cuMemImportFromShareableHandle`, mmap'ит shm header. +- **Publish loop:** producer `acquire()` → memcpy в slot → `publish(stream, pts)` который делает `cuStreamSynchronize` + atomic update `slot.seq` + `global_seq`. +- **Consume loop:** subscriber polls atomic `global_seq`, читает frame через DtoD copy в свой stream. +- **Sync:** producer's `cuStreamSynchronize` перед publish гарантирует hardware coherence — consumer читает данные через atomic load без CUDA events (modern simplification от `v0.4`). + +Полная спецификация — [Protocol reference](/docs/reference/protocol). + +## Next + +- [Install](/docs/getting-started/install) — apt / docker / from source. +- [First publisher](/docs/getting-started/first-publisher) — 30-line C example. +- [FFmpeg demuxer integration](/docs/integration/ffmpeg-demuxer) — `cuframes://key` URL scheme. diff --git a/site/docs/reference/_category_.json b/site/docs/reference/_category_.json new file mode 100644 index 0000000..99dd5ac --- /dev/null +++ b/site/docs/reference/_category_.json @@ -0,0 +1,7 @@ +{ + "label": "Reference", + "position": 5, + "collapsible": true, + "collapsed": true, + "link": null +} diff --git a/site/docs/reference/api-c.md b/site/docs/reference/api-c.md new file mode 100644 index 0000000..a8fac65 --- /dev/null +++ b/site/docs/reference/api-c.md @@ -0,0 +1,531 @@ +--- +sidebar_position: 1 +title: C API +--- + +# C API reference + +Полный listing public C API из `` (libcuframes 0.4.0). Source of truth — header в repo, эта страница его дублирует в Docusaurus формате с cross-links на концептуальные разделы. + +## Headers & linkage + +```c +#include +``` + +```bash +# pkg-config (если установлено через .deb) +cc app.c $(pkg-config --cflags --libs cuframes) + +# вручную +cc app.c -lcuframes +``` + +`libcuframes.so.0` динамически линкуется к `libcuda.so.1` (CUDA driver API, не runtime). Для большинства user-кода также нужен `-lcudart` чтобы манипулировать своими CUDA streams. + +## Conventions + +- Все функции возвращают `int` — `0` (CUFRAMES_OK) при успехе, отрицательный код из [`cuframes_error_t`](#error-codes) при ошибке. Расшифровка кода — [`cuframes_strerror`](#error-decoding). +- Все handle types (`cuframes_publisher_t`, `cuframes_subscriber_t`, `cuframes_frame_t`, `cuframes_packet_t`) — **opaque**. Поля не доступны напрямую, только через accessor-функции. Это даёт ABI-stability в minor релизах. +- Каждый handle принадлежит **одному потоку**. Cross-thread access — undefined behavior. Несколько handle'ов в разных потоках — OK. +- Endianness — little-endian (это и так фиксируется CUDA-платформами). + +## Version & error codes + +### Library version + +```c +const char *cuframes_version_string(void); +uint32_t cuframes_protocol_version(void); +``` + +`cuframes_version_string` возвращает runtime-версию libcuframes в формате `"MAJOR.MINOR.PATCH"` (например `"0.4.0"`). Compile-time константы: + +```c +#define CUFRAMES_VERSION_MAJOR 0 +#define CUFRAMES_VERSION_MINOR 4 +#define CUFRAMES_VERSION_PATCH 0 +``` + +`cuframes_protocol_version` возвращает wire-protocol версию (для v0.4 — `4`). Subscribers с другим protocol version не подключатся — publisher вернёт `HELLO_RESP(result=CUFRAMES_ERR_PROTOCOL)`. См. [Protocol reference](/docs/reference/protocol). + +### Error codes + +```c +typedef enum cuframes_error { + CUFRAMES_OK = 0, + CUFRAMES_ERR_INVALID_ARG = -1, + CUFRAMES_ERR_OUT_OF_MEMORY = -2, + CUFRAMES_ERR_CUDA = -3, + CUFRAMES_ERR_IO = -4, + CUFRAMES_ERR_NOT_FOUND = -5, + CUFRAMES_ERR_ALREADY_EXISTS = -6, + CUFRAMES_ERR_TIMEOUT = -7, + CUFRAMES_ERR_PROTOCOL = -8, + CUFRAMES_ERR_DISCONNECTED = -9, + CUFRAMES_ERR_FORMAT = -10, + CUFRAMES_ERR_WOULD_BLOCK = -11, + CUFRAMES_ERR_TOO_MANY = -12, + CUFRAMES_ERR_PACKET_OVERSIZED = -20, + CUFRAMES_ERR_NO_PACKET_RING = -21, + CUFRAMES_ERR_NO_CODEC_PARAMS = -22, + CUFRAMES_ERR_PACKET_OVERRUN = -23, + CUFRAMES_ERR_INTERNAL = -100, +} cuframes_error_t; +``` + +| Code | Name | Meaning | +|---|---|---| +| `0` | `CUFRAMES_OK` | Success | +| `-1` | `CUFRAMES_ERR_INVALID_ARG` | NULL pointer или невалидное значение в config | +| `-2` | `CUFRAMES_ERR_OUT_OF_MEMORY` | malloc / cudaMalloc fail | +| `-3` | `CUFRAMES_ERR_CUDA` | Ошибка CUDA runtime / driver | +| `-4` | `CUFRAMES_ERR_IO` | socket / mmap / eventfd | +| `-5` | `CUFRAMES_ERR_NOT_FOUND` | Publisher с таким key не найден | +| `-6` | `CUFRAMES_ERR_ALREADY_EXISTS` | Publisher с этим key уже есть, либо `consumer_name` занят | +| `-7` | `CUFRAMES_ERR_TIMEOUT` | Операция не завершилась за timeout | +| `-8` | `CUFRAMES_ERR_PROTOCOL` | Несовместимая версия wire protocol | +| `-9` | `CUFRAMES_ERR_DISCONNECTED` | Publisher died или сеть оборвалась | +| `-10` | `CUFRAMES_ERR_FORMAT` | Неподдерживаемый pixel format или несовпадение размеров | +| `-11` | `CUFRAMES_ERR_WOULD_BLOCK` | Non-blocking call — данных пока нет | +| `-12` | `CUFRAMES_ERR_TOO_MANY` | Превышен `MAX_SUBSCRIBERS` (32) | +| `-20` | `CUFRAMES_ERR_PACKET_OVERSIZED` | `publish_packet` size > `max_packet_size` | +| `-21` | `CUFRAMES_ERR_NO_PACKET_RING` | Subscriber запросил packets, у publisher'а нет ring'а | +| `-22` | `CUFRAMES_ERR_NO_CODEC_PARAMS` | Extradata ещё не set publisher'ом | +| `-23` | `CUFRAMES_ERR_PACKET_OVERRUN` | Slow subscriber, packet seq уехал — resync на keyframe | +| `-100` | `CUFRAMES_ERR_INTERNAL` | Bug в библиотеке — repro и report'ить | + +### Error decoding + +```c +const char *cuframes_strerror(int err); +``` + +Возвращает human-readable строку для error code. Pointer указывает на static storage, дальше владеть им не надо. Никогда не возвращает NULL — для unknown code вернёт `"unknown error"`. + +## Pixel formats + +```c +typedef enum cuframes_format { + CUFRAMES_FORMAT_NV12 = 0, + CUFRAMES_FORMAT_YUV420P = 1, + CUFRAMES_FORMAT_RGB = 2, + CUFRAMES_FORMAT_BGR = 3, + CUFRAMES_FORMAT_RGBA = 4, + CUFRAMES_FORMAT_GRAYSCALE = 5, +} cuframes_format_t; +``` + +| Format | Layout | Когда | +|---|---|---| +| `NV12` | Y plane + interleaved UV plane | NVDEC native, default для video pipeline'ов | +| `YUV420P` | Y + U + V separate planes | FFmpeg `yuv420p` | +| `RGB` | 24bpp packed RGB | ML inference, OpenGL | +| `BGR` | 24bpp packed BGR | OpenCV native | +| `RGBA` | 32bpp packed RGBA | overlays, compositing | +| `GRAYSCALE` | 8bpp single plane | depth maps, masks | + +Format фиксирован для publisher'а в момент create — поменять нельзя без destroy + recreate с новым key. + +## Policy & mode enums + +### Publisher policy + +```c +typedef enum cuframes_publisher_policy { + CUFRAMES_POLICY_DROP_OLDEST = 0, + CUFRAMES_POLICY_STRICT_WAIT = 1, +} cuframes_publisher_policy_t; +``` + +- `DROP_OLDEST` — publisher не ждёт, перезаписывает next slot. Slow consumer пропускает кадры. **Default для real-time.** +- `STRICT_WAIT` — publisher блокируется пока все подписанные consumers не ACK'нут. Не теряет кадры, но slowest consumer тормозит всех. Для recording или критичной аналитики. + +### Subscriber mode + +```c +typedef enum cuframes_subscriber_mode { + CUFRAMES_MODE_NEWEST_ONLY = 0, + CUFRAMES_MODE_STRICT_ORDER = 1, +} cuframes_subscriber_mode_t; +``` + +- `NEWEST_ONLY` — брать самый свежий frame, пропускать промежуточные. **Default.** +- `STRICT_ORDER` — все frames по порядку. Если ring overflow — вернётся `CUFRAMES_ERR_DISCONNECTED`, нужно reconnect. + +### Ownership mode + +```c +typedef enum cuframes_ownership_mode { + CUFRAMES_OWNERSHIP_LIBRARY = 0, + CUFRAMES_OWNERSHIP_EXTERNAL = 1, +} cuframes_ownership_mode_t; +``` + +- `LIBRARY` — library владеет VMM pool'ом (см. [Sync model](/docs/concepts/sync-vmm-stream)). Publisher делает `acquire()` → пишет → `publish()`. **Единственный поддерживаемый mode в v0.4.** +- `EXTERNAL` — **в v0.4 deprecated.** `cuframes_publisher_create_external` возвращает `CUFRAMES_ERR_INVALID_ARG`. Для FFmpeg filter integration используйте `LIBRARY` + одна D2D копия в `acquire()`'нутый slot (cuframes-rtsp-source именно так и работает с v0.4). + +## Frame accessors + +`cuframes_frame_t` — opaque handle на frame полученный у subscriber'а. Валиден от `cuframes_subscriber_next` до `cuframes_subscriber_release`. + +```c +typedef struct cuframes_frame cuframes_frame_t; + +void *cuframes_frame_cuda_ptr(const cuframes_frame_t *frame); +cuframes_format_t cuframes_frame_format(const cuframes_frame_t *frame); +void cuframes_frame_size(const cuframes_frame_t *frame, + int32_t *width_out, int32_t *height_out); +int32_t cuframes_frame_pitch_y(const cuframes_frame_t *frame); +int32_t cuframes_frame_pitch_uv(const cuframes_frame_t *frame); +uint64_t cuframes_frame_seq(const cuframes_frame_t *frame); +int64_t cuframes_frame_pts_ns(const cuframes_frame_t *frame); +``` + +| Function | Returns | +|---|---| +| `cuda_ptr` | CUDA device pointer на frame data (read-only для consumer'а) | +| `format` | `cuframes_format_t` | +| `size` | Ширина и высота в пикселях через out-параметры | +| `pitch_y` | Pitch (байт на строку) для Y plane или единственного plane | +| `pitch_uv` | Pitch для UV plane (NV12 / YUV420P); `0` для форматов без UV | +| `seq` | Sequence number — монотонная нумерация у publisher'а | +| `pts_ns` | Timestamp publisher'а (наносекунды, `CLOCK_MONOTONIC`) | + +PTS epoch caveat: publisher и consumer могут иметь разные эпохи `CLOCK_MONOTONIC` (после publisher restart — counter сбрасывается). Consumer должен sanity-checkить, например detect epoch change когда `pts_ns_curr < pts_ns_prev`. + +## Publisher API + +### Config struct + +```c +typedef struct cuframes_publisher_config { + const char *key; /* unique имя ("cam1"). Не NULL. */ + int32_t width; + int32_t height; + cuframes_format_t format; + cuframes_ownership_mode_t ownership; + int32_t ring_size; /* 2..16, рекомендуется 4 */ + cuframes_publisher_policy_t policy; + int32_t consumer_ack_timeout_ms; /* STRICT_WAIT; 0 = ждать вечно */ + int32_t cuda_device; + uint64_t _reserved[4]; /* должно быть 0 */ +} cuframes_publisher_config_t; +``` + +| Field | Constraints | +|---|---| +| `key` | ASCII `[a-zA-Z0-9_-]{1,63}`. Не NULL. | +| `width`, `height` | Pixels. Фиксированы после create. | +| `format` | См. [Pixel formats](#pixel-formats). Фиксирован. | +| `ownership` | В v0.4 — только `LIBRARY`. | +| `ring_size` | 2..16 для `LIBRARY`. Меньше — больше chance overrun, больше — больше VRAM. | +| `policy` | См. [Policy](#publisher-policy). | +| `consumer_ack_timeout_ms` | Только для `STRICT_WAIT`. `0` = ждать бесконечно. | +| `cuda_device` | Обычно `0`. Должен совпадать с consumer'ским. | +| `_reserved` | Reserved для ABI-stability, должно быть нулями. | + +### Create / destroy + +```c +int cuframes_publisher_create(const cuframes_publisher_config_t *cfg, + cuframes_publisher_t **out); + +int cuframes_publisher_create_external(const cuframes_publisher_config_t *cfg, + void *const *cuda_ptrs, + int32_t ptr_count, + size_t frame_size, + cuframes_publisher_t **out); + +int cuframes_publisher_destroy(cuframes_publisher_t *pub); +``` + +`cuframes_publisher_create` аллоцирует `ring_size` × `frame_size` через `cuMemCreate(POSIX_FILE_DESCRIPTOR)`, открывает Unix socket `/run/cuframes/.sock`, mmap'ит `/dev/shm/cuframes-`. См. [Synchronization & VMM stream](/docs/concepts/sync-vmm-stream). + +Errors: + +| Code | Когда | +|---|---| +| `INVALID_ARG` | `cfg` NULL, ring_size out of range, key не проходит regex | +| `ALREADY_EXISTS` | Publisher с этим key уже есть и его процесс живой | +| `CUDA` | `cuMemCreate` fail (out of VRAM, unsupported driver) | +| `IO` | Не получилось `bind()` socket или `shm_open()` | + +`cuframes_publisher_create_external` — **в v0.4 возвращает `CUFRAMES_ERR_INVALID_ARG`**. EXTERNAL ownership убран потому что VMM требует `cuMemCreate`-allocated memory. Для упомянутого FFmpeg filter use case — переходите на `LIBRARY` + одна `cudaMemcpyAsync(D2D)` в acquire'нутый slot. Cuframes-rtsp-source работает именно так начиная с v0.4. + +`cuframes_publisher_destroy` шлёт `SHUTDOWN` всем connected subscribers, unlink'ает socket и shm. NULL-safe. + +### Publish (LIBRARY mode) + +```c +int cuframes_publisher_acquire(cuframes_publisher_t *pub, + void **cuda_ptr_out); + +int cuframes_publisher_publish(cuframes_publisher_t *pub, + void *stream, /* cudaStream_t */ + int64_t pts_ns); +``` + +`acquire` возвращает CUDA device pointer на следующий slot в ring'е для записи. Pointer стабилен пока вы держите ring slot — обычно до следующего `publish`. + +Errors: + +| Code | Когда | +|---|---| +| `TIMEOUT` | Все slots заняты в `STRICT_WAIT` mode | +| `INVALID_ARG` | `pub` NULL, или publisher был создан в EXTERNAL mode | + +`publish` финализирует acquire'нутый slot. Внутри: `cuStreamSynchronize(stream)` гарантирует что producer's writes hardware-coherent, затем atomic update `slot.seq` + `global_seq`. См. [Synchronization](/docs/concepts/sync-vmm-stream) — почему именно stream sync, а не CUDA events. + +| Param | Meaning | +|---|---| +| `stream` | CUDA stream на котором писались данные. `0` для default stream. | +| `pts_ns` | Timestamp, рекомендуется [`cuframes_now_ns()`](#utils). | + +### Publish (EXTERNAL mode) + +```c +int cuframes_publisher_publish_external(cuframes_publisher_t *pub, + void *cuda_ptr, + void *stream, + int64_t pts_ns); +``` + +**В v0.4 deprecated** — see note про `create_external` выше. Всегда возвращает `CUFRAMES_ERR_INVALID_ARG`. + +## Subscriber API (sync) + +### Config struct + +```c +typedef struct cuframes_subscriber_config { + const char *key; + const char *consumer_name; /* NULL = auto */ + cuframes_subscriber_mode_t mode; + int32_t cuda_device; + int32_t connect_timeout_ms; /* 0=fail, -1=ждать вечно */ + uint64_t _reserved[4]; +} cuframes_subscriber_config_t; +``` + +| Field | Constraints | +|---|---| +| `key` | Должен совпадать с publisher'ским | +| `consumer_name` | Если NULL — library сгенерирует `subscriber--`. Unique в пределах publisher'а — иначе `ALREADY_EXISTS`. MAX 32 subscribers. | +| `mode` | См. [Subscriber mode](#subscriber-mode) | +| `cuda_device` | Должен совпадать с publisher'ским — VMM FD импортируется на тот же device | +| `connect_timeout_ms` | `0` = fail сразу с `NOT_FOUND`; `-1` = ждать вечно | + +### Create / destroy + +```c +int cuframes_subscriber_create(const cuframes_subscriber_config_t *cfg, + cuframes_subscriber_t **out); + +int cuframes_subscriber_destroy(cuframes_subscriber_t *sub); +``` + +`create` выполняет handshake (`HELLO` → `SUBSCRIBE` → `VMM_FDS`), импортирует N file descriptors через `cuMemImportFromShareableHandle`. См. [Protocol reference §3](/docs/reference/protocol). + +Errors: + +| Code | Когда | +|---|---| +| `NOT_FOUND` | Publisher с этим key не найден до `connect_timeout_ms` | +| `PROTOCOL` | Publisher имеет другую protocol version | +| `TOO_MANY` | Publisher уже имеет 32 subscriber'а | +| `ALREADY_EXISTS` | `consumer_name` занят | +| `CUDA` | `cuMemImportFromShareableHandle` fail | + +`destroy` — graceful close: `UNSUBSCRIBE` msg → cleanup VMM mappings → close socket. NULL-safe. + +### Next frame + +```c +int cuframes_subscriber_next(cuframes_subscriber_t *sub, + void *consumer_stream, + cuframes_frame_t **frame_out, + int32_t timeout_ms); + +int cuframes_subscriber_release(cuframes_subscriber_t *sub, + cuframes_frame_t *frame); +``` + +`next` блокируется до `timeout_ms` ожидая новый frame. Семантика по mode: + +- `NEWEST_ONLY` — возвращает самый свежий frame, пропускает промежуточные; +- `STRICT_ORDER` — следующий по seq; `DISCONNECTED` при overflow. + +`consumer_stream` — ваш CUDA stream, на котором будете читать frame. В v0.4 синхронизация делается на стороне publisher'а через `cuStreamSynchronize`, так что параметр зарезервирован для будущего event-based fast path и сейчас не обязателен (`0` допустимо). + +| Param | Meaning | +|---|---| +| `consumer_stream` | CUDA stream consumer'а. `0` допустимо. | +| `frame_out` | Output handle. Освободить через `release`. | +| `timeout_ms` | `<0` = блокироваться, `0` = non-blocking (вернёт `WOULD_BLOCK`), `>0` = с timeout'ом | + +Errors: + +| Code | Когда | +|---|---| +| `WOULD_BLOCK` | `timeout_ms=0` и нет данных | +| `TIMEOUT` | За `timeout_ms` ничего не пришло | +| `DISCONNECTED` | Publisher shutdown, либо ring overrun в `STRICT_ORDER` | + +`release` ACK'ает frame publisher'у (важно для `STRICT_WAIT` policy). NULL-safe. После release frame handle invalid. + +## Subscriber API (async) + +```c +typedef void (*cuframes_frame_callback_t)(const cuframes_frame_t *frame, + void *user_data); +typedef void (*cuframes_error_callback_t)(int err, const char *msg, + void *user_data); + +int cuframes_async_subscriber_create(const cuframes_subscriber_config_t *cfg, + cuframes_frame_callback_t on_frame, + cuframes_error_callback_t on_error, + void *user_data, + cuframes_async_subscriber_t **out); + +int cuframes_async_subscriber_destroy(cuframes_async_subscriber_t *sub); +``` + +Callback-based wrapper над sync API. Library поднимает internal thread, который sit'ит на `next`, вызывает `on_frame` / `on_error`, сам делает `release` после возврата из callback. + +Constraints: + +- Frame **валиден только в течение callback'а** — никаких saved pointer'ов; +- Library использует internal CUDA stream, pre-wait уже выполнен — для своего stream'а используйте sync API; +- `destroy` joins internal thread и гарантирует что callback больше не вызовется после возврата (может занять до длительности текущего callback'а). + +## Packet ring API + +См. [Frame vs Packet ring](/docs/concepts/frame-vs-packet-ring) — когда нужно использовать packet ring. + +### Flags + +```c +#define CUFRAMES_PKT_FLAG_KEY 0x01u +#define CUFRAMES_PKT_FLAG_CORRUPT 0x02u +#define CUFRAMES_PKT_FLAG_DISCONTINUITY 0x04u +#define CUFRAMES_PKT_FLAG_LAST_IN_AU 0x08u +``` + +Биты соответствуют `AV_PKT_FLAG_*` у FFmpeg. + +### Publisher-side + +```c +typedef struct cuframes_packet_ring_options { + uint32_t ring_slots; /* default 64 */ + uint32_t data_size; /* default 8 MiB */ + uint32_t max_packet_size; /* default 2 MiB */ + uint32_t codec_id; /* AV_CODEC_ID_* */ + uint64_t _reserved[4]; +} cuframes_packet_ring_options_t; + +int cuframes_publisher_enable_packets(cuframes_publisher_t *pub, + const cuframes_packet_ring_options_t *opts); + +int cuframes_publisher_set_codec_extradata(cuframes_publisher_t *pub, + const void *extradata, size_t size); + +int cuframes_publisher_publish_packet(cuframes_publisher_t *pub, + const void *data, size_t size, + int64_t pts_ns, int64_t dts_ns, + uint32_t flags); +``` + +`enable_packets` создаёт отдельный SHM `/dev/shm/cuframes--packets`. **Должно быть вызвано до первого `publish_packet` и желательно до того как subscribers начнут подключаться** — иначе subscriber увидит publisher без ring'а и не получит packets. `opts=NULL` → default sizing. + +`set_codec_extradata` пишет SPS/PPS/VPS bytes в shared header. Subscribers (FFmpeg demuxer) подставят это в `AVCodecContext.extradata`. Size ≤ 4096 байт. + +`publish_packet` записывает один NAL unit (Annex B). На IDR обязательно ставить `CUFRAMES_PKT_FLAG_KEY` — иначе late subscriber не сможет resync'нуться. + +Errors: + +| Code | Когда | +|---|---| +| `NO_PACKET_RING` | Не вызвали `enable_packets` | +| `PACKET_OVERSIZED` | `size > max_packet_size` | +| `ALREADY_EXISTS` | (`enable_packets`) ring уже активирован | + +### Subscriber-side + +```c +typedef struct cuframes_packet cuframes_packet_t; + +const void *cuframes_packet_data(const cuframes_packet_t *p); +size_t cuframes_packet_size(const cuframes_packet_t *p); +int64_t cuframes_packet_pts(const cuframes_packet_t *p); +int64_t cuframes_packet_dts(const cuframes_packet_t *p); +uint32_t cuframes_packet_flags(const cuframes_packet_t *p); +uint64_t cuframes_packet_seq(const cuframes_packet_t *p); + +int cuframes_subscriber_enable_packets(cuframes_subscriber_t *sub); + +int cuframes_subscriber_next_packet(cuframes_subscriber_t *sub, + cuframes_packet_t **pkt_out, + int32_t timeout_ms); + +int cuframes_subscriber_release_packet(cuframes_subscriber_t *sub, + cuframes_packet_t *pkt); + +int cuframes_subscriber_get_codec_params(cuframes_subscriber_t *sub, + uint32_t *codec_id_out, + const void **extradata_out, + size_t *extradata_size_out); +``` + +`enable_packets` открывает второй SHM (если publisher его создал). Subscriber может одновременно иметь frames ring и packets ring, или только один из них. + +`next_packet` — late subscriber на первом вызове начнёт с `last_keyframe_seq` publisher'а (decoder получит valid stream без glitches). См. [Protocol §10.14](/docs/reference/protocol). + +Errors: + +| Code | Когда | +|---|---| +| `WOULD_BLOCK` | `timeout_ms=0`, нет данных | +| `TIMEOUT` | За `timeout_ms` ничего не пришло | +| `PACKET_OVERRUN` | Subscriber отстал; library автоматически resync'нется на keyframe на next call | +| `DISCONNECTED` | Publisher shutdown | +| `NOT_FOUND` | (`enable_packets`) publisher не имеет packet ring | + +`get_codec_params` возвращает pointer в library-local buffer, валидный пока subscriber жив. Если данных хотите hold past subscriber lifetime — копируйте сами. Возвращает `NO_CODEC_PARAMS` если publisher ещё не звал `set_codec_extradata`. + +`release_packet` — NULL-safe. После release pointer'ы от `cuframes_packet_*` invalid. + +## Utils + +### Frame size calculation + +```c +int cuframes_calc_frame_size(cuframes_format_t format, + int32_t width, int32_t height, + size_t *size_out, + int32_t *pitch_y_out, + int32_t *pitch_uv_out); +``` + +Учитывает pitch alignment 256 байт (CUDA recommendation). `pitch_y_out` / `pitch_uv_out` опциональны (можно NULL). Возвращает `INVALID_ARG` для unknown format. + +### Monotonic time + +```c +int64_t cuframes_now_ns(void); +``` + +`CLOCK_MONOTONIC` в наносекундах. Используйте как `pts_ns` для real-time pipeline'ов: + +```c +cuframes_publisher_publish(pub, stream, cuframes_now_ns()); +``` + +## See also + +- [C++ API](/docs/reference/api-cpp) — RAII wrapper. +- [Protocol reference](/docs/reference/protocol) — wire format, handshake, ABI layouts. +- [Frame vs Packet ring](/docs/concepts/frame-vs-packet-ring) — когда использовать какой. +- [Synchronization](/docs/concepts/sync-vmm-stream) — почему `cuStreamSynchronize`, а не CUDA events. +- [First publisher](/docs/getting-started/first-publisher) — работающий C-пример. diff --git a/site/docs/reference/api-cpp.md b/site/docs/reference/api-cpp.md new file mode 100644 index 0000000..27640ef --- /dev/null +++ b/site/docs/reference/api-cpp.md @@ -0,0 +1,351 @@ +--- +sidebar_position: 2 +title: C++ API +--- + +# C++ API reference + +`` — header-only RAII wrapper над [C API](/docs/reference/api-c). Тонкий слой: handle-классы с automatic cleanup, exceptions вместо int return codes, `std::optional` для `next`. + +## Headers & linkage + +```cpp +#include +``` + +```bash +# C++17 минимум (нужен std::optional) +c++ -std=c++17 app.cpp -lcuframes +# при использовании своих CUDA streams +c++ -std=c++17 app.cpp -lcuframes -lcudart +``` + +Header-only — самой C++ библиотеки не существует, есть только wrapper над `libcuframes.so`. ABI-совместимость наследуется от C API. + +Всё в namespace `cuframes`: + +```cpp +namespace cuframes { + class Error; + class Frame; + class FrameRef; + class Publisher; + class Subscriber; + class AsyncSubscriber; + struct PublisherOptions; + struct SubscriberOptions; + inline int64_t now_ns(); + inline size_t calc_frame_size(...); +} +``` + +## Exceptions + +```cpp +class cuframes::Error : public std::runtime_error { +public: + Error(int code, const std::string &context); + int code() const noexcept; +}; +``` + +Бросается из всех методов кроме explicitly `noexcept`. `code()` — оригинальный [`cuframes_error_t`](/docs/reference/api-c#error-codes); `what()` — `": "`. + +```cpp +try { + cuframes::Publisher pub({.key = "cam1", .width = 1920, .height = 1080}); +} catch (const cuframes::Error &e) { + if (e.code() == CUFRAMES_ERR_ALREADY_EXISTS) { + // stale publisher с этим key + } +} +``` + +## Frame & FrameRef + +`Frame` — read-only non-owning view над `cuframes_frame_t`. Используется в callback'ах async subscriber'а. + +`FrameRef` — RAII owning handle: `release` вызывается автоматически в destructor'е. Moveable, не copyable. + +```cpp +class Frame { +public: + void *cuda_ptr() const noexcept; + cuframes_format_t format() const noexcept; + int32_t width() const noexcept; + int32_t height() const noexcept; + int32_t pitch_y() const noexcept; + int32_t pitch_uv() const noexcept; + uint64_t seq() const noexcept; + int64_t pts_ns() const noexcept; + const cuframes_frame_t *raw() const noexcept; +}; + +class FrameRef { +public: + explicit operator bool() const noexcept; + Frame view() const noexcept; + // Shortcut accessors: cuda_ptr, width, height, pitch_y, pitch_uv, seq, pts_ns +}; +``` + +Все accessor-методы `noexcept` — они идут в C accessor'ы которые ничего не аллоцируют. + +## Publisher + +```cpp +struct PublisherOptions { + std::string key; + int32_t width = 0; + int32_t height = 0; + cuframes_format_t format = CUFRAMES_FORMAT_NV12; + int32_t ring_size = 4; + cuframes_publisher_policy_t policy = CUFRAMES_POLICY_DROP_OLDEST; + int32_t consumer_ack_timeout_ms = 0; + int32_t cuda_device = 0; +}; + +class Publisher { +public: + explicit Publisher(const PublisherOptions &opt); + + // EXTERNAL ownership — DEPRECATED в v0.4, бросает Error(INVALID_ARG) + Publisher(const PublisherOptions &opt, + void *const *cuda_ptrs, int32_t ptr_count, size_t frame_size); + + ~Publisher(); + Publisher(Publisher &&) noexcept; + Publisher &operator=(Publisher &&) noexcept; + + void *acquire(); + void publish(void *stream, int64_t pts_ns); + + // EXTERNAL mode — DEPRECATED в v0.4 + void publish_external(void *cuda_ptr, void *stream, int64_t pts_ns); + + // Packet ring + void enable_packets(const cuframes_packet_ring_options_t *opts = nullptr); + void set_codec_extradata(const void *data, size_t size); + int publish_packet(const void *data, size_t size, + int64_t pts_ns, int64_t dts_ns, uint32_t flags) noexcept; + + cuframes_publisher_t *raw() noexcept; +}; +``` + +**Note про deprecated EXTERNAL ownership constructor.** В v0.4 второй конструктор `Publisher(opt, cuda_ptrs, ...)` под капотом вызывает `cuframes_publisher_create_external` и сразу получает `INVALID_ARG` → бросает `cuframes::Error`. Для FFmpeg filter / custom decoder integration переходите на LIBRARY mode + одна `cudaMemcpyAsync(D2D)` в `acquire()`'нутый pointer. См. [C API note](/docs/reference/api-c#create--destroy). + +`publish_packet` — единственный non-throwing метод (возвращает int). Это сделано чтобы в hot loop encoder'а не платить за exception unwind на каждом packet. + +Минимальный publisher loop: + +```cpp +cuframes::Publisher pub({ + .key = "cam1", + .width = 1920, .height = 1080, + .format = CUFRAMES_FORMAT_NV12, +}); + +cudaStream_t stream; +cudaStreamCreate(&stream); + +for (;;) { + void *slot = pub.acquire(); + // ... NVDEC / kernel пишут в slot на `stream` ... + pub.publish(stream, cuframes::now_ns()); +} +``` + +## Subscriber (sync) + +```cpp +struct SubscriberOptions { + std::string key; + std::string consumer_name; // empty = auto-generate + cuframes_subscriber_mode_t mode = CUFRAMES_MODE_NEWEST_ONLY; + int32_t cuda_device = 0; + int32_t connect_timeout_ms = 5000; +}; + +class Subscriber { +public: + explicit Subscriber(const SubscriberOptions &opt); + ~Subscriber(); + Subscriber(Subscriber &&) noexcept; + Subscriber &operator=(Subscriber &&) noexcept; + + std::optional next(void *stream, int32_t timeout_ms = -1); + + cuframes_subscriber_t *raw() noexcept; +}; +``` + +`next` возвращает `std::nullopt` для recoverable conditions (`TIMEOUT`, `WOULD_BLOCK`, `DISCONNECTED`) и бросает `Error` для всего остального. Эта асимметрия сделана сознательно — три перечисленных случая ожидаемы в обычном loop'е и не должны платить за exception unwind. + +```cpp +cuframes::Subscriber sub({ + .key = "cam1", + .mode = CUFRAMES_MODE_NEWEST_ONLY, +}); + +cudaStream_t stream; +cudaStreamCreate(&stream); + +while (auto frame = sub.next(stream, 1000)) { + // frame->cuda_ptr(), frame->width(), frame->pts_ns() + // release будет автоматически при выходе из scope +} +``` + +## Subscriber (async) + +```cpp +class AsyncSubscriber { +public: + using OnFrame = std::function; + using OnError = std::function; + + AsyncSubscriber(const SubscriberOptions &opt, + OnFrame on_frame, + OnError on_error = {}); + ~AsyncSubscriber(); +}; +``` + +Callback-based wrapper. Library поднимает internal thread; `Frame` валиден **только** в течение callback'а (автоматический release после return). + +```cpp +cuframes::AsyncSubscriber sub( + {.key = "cam1"}, + [](const cuframes::Frame &f) { + std::printf("seq=%lu pts=%ld\n", f.seq(), f.pts_ns()); + }, + [](int err, const std::string &msg) { + std::fprintf(stderr, "cuframes error %d: %s\n", err, msg.c_str()); + }); + +// держим subscriber alive... +std::this_thread::sleep_for(std::chrono::seconds(60)); +// destructor join'ит worker thread +``` + +Не copyable. Move в текущей версии тоже запрещён (поля `std::function` хранят `this`-pointer для trampoline'а — move сломает). + +## Packet ring + +В C++ wrapper'е packet ring доступен через прямые C-функции и `Publisher::publish_packet`. Отдельных `cuframes::Packet` / `cuframes::PacketRef` классов нет — packet API проще и FFmpeg interop часто пишется напрямую через C. + +```cpp +// Publisher-side +cuframes_packet_ring_options_t pkt_opts{}; +pkt_opts.ring_slots = 64; +pkt_opts.data_size = 8 * 1024 * 1024; +pkt_opts.max_packet_size = 2 * 1024 * 1024; +pkt_opts.codec_id = AV_CODEC_ID_H264; +pub.enable_packets(&pkt_opts); +pub.set_codec_extradata(sps_pps.data(), sps_pps.size()); + +int rc = pub.publish_packet(nal, nal_size, pts, dts, CUFRAMES_PKT_FLAG_KEY); +if (rc < 0 && rc != CUFRAMES_ERR_PACKET_OVERSIZED) { + // log + skip; OVERSIZED безопасно игнорировать +} +``` + +Subscriber-side — pure C функции из ``, см. [Packet subscriber API](/docs/reference/api-c#subscriber-side). + +## Utilities + +```cpp +inline int64_t cuframes::now_ns(); + +inline size_t cuframes::calc_frame_size(cuframes_format_t format, + int32_t w, int32_t h, + int32_t *pitch_y = nullptr, + int32_t *pitch_uv = nullptr); +``` + +`calc_frame_size` бросает `Error` на unknown format (в отличие от C-варианта который возвращает код). + +## Examples + +### Complete publisher (LIBRARY mode) + +```cpp +#include +#include + +int main() { + cuframes::Publisher pub({ + .key = "cam1", + .width = 1920, .height = 1080, + .format = CUFRAMES_FORMAT_NV12, + .ring_size = 4, + }); + + cudaStream_t stream; + cudaStreamCreate(&stream); + + for (int i = 0; i < 1000; i++) { + void *slot = pub.acquire(); + // ... NVDEC decode или kernel write в slot ... + pub.publish(stream, cuframes::now_ns()); + } +} +``` + +### Complete subscriber + +```cpp +#include +#include + +int main() { + cuframes::Subscriber sub({ + .key = "cam1", + .consumer_name = "my-detector", + .mode = CUFRAMES_MODE_NEWEST_ONLY, + .connect_timeout_ms = 5000, + }); + + cudaStream_t stream; + cudaStreamCreate(&stream); + + for (;;) { + auto frame = sub.next(stream, 1000); + if (!frame) continue; // timeout/disconnect + + // frame->cuda_ptr() — VRAM pointer + // frame->width(), frame->height() — pixels + // frame->pitch_y(), frame->pitch_uv() — байт на строку + // ... ML inference / CUDA filter на stream ... + } +} +``` + +### Async with lambdas + +```cpp +#include +#include +#include + +int main() { + std::atomic frames{0}; + + cuframes::AsyncSubscriber sub( + {.key = "cam1"}, + [&](const cuframes::Frame &f) { + frames.fetch_add(1); + // pre-sync уже выполнен library-side; f.cuda_ptr() ready + }); + + std::this_thread::sleep_for(std::chrono::seconds(10)); + std::printf("processed %lu frames\n", frames.load()); +} +``` + +## See also + +- [C API](/docs/reference/api-c) — underlying C functions. +- [Protocol reference](/docs/reference/protocol) — wire format spec. +- [First publisher](/docs/getting-started/first-publisher) — minimal end-to-end пример. diff --git a/site/docs/reference/protocol.md b/site/docs/reference/protocol.md new file mode 100644 index 0000000..a46d4b7 --- /dev/null +++ b/site/docs/reference/protocol.md @@ -0,0 +1,608 @@ +--- +sidebar_position: 3 +title: Wire protocol v4 spec +--- + +# cuframes wire protocol — version 4 + +**Status:** v4 — production (deployed 2026-05-25). Semver-stable в пределах major. +**Endianness:** little-endian (CUDA-platforms only). +**libcuframes version:** 0.4.0. + +Эта страница описывает **byte-exact** формат всех структур и сообщений cuframes. Любая реализация (C, Python ctypes, Rust bindings, FFmpeg plugin) должна соответствовать этому документу. Reference implementation — `libcuframes/src/` в репозитории. + +## What changed in v4 + +В v0.4 заменили механизм sharing'а GPU-памяти с CUDA IPC mem-handles на CUDA VMM + POSIX file descriptors. Это **breaking change** на wire level. + +| Aspect | v1–v3 (legacy) | v4 (current) | +|---|---|---| +| Magic | `0xCC7C1DCC` | `0xCC7C1DCE` | +| Protocol version | 1–3 | 4 | +| GPU memory share | `cudaIpcMemHandle_t` в slot descriptor | `cuMemCreate(POSIX_FILE_DESCRIPTOR)` + `SCM_RIGHTS` | +| Cross-process sync | `cudaIpcEventHandle_t` + `cudaStreamWaitEvent` | producer's `cuStreamSynchronize` + atomic seq release | +| PID namespace sharing | required (CUDA IPC ограничение) | **not required** — POSIX FD работает поверх SCM_RIGHTS | +| Handshake messages | `HELLO` → `SUBSCRIBE` | `HELLO` → `SUBSCRIBE` → `VMM_FDS` (new) | +| EXTERNAL ownership | поддерживался | удалён (VMM требует cuMemCreate-memory) | + +Старый magic `0xCC7C1DCC` приводит к clean fail в v4 (`HELLO_RESP(result=CUFRAMES_ERR_PROTOCOL)`). Mixed-version deployment **не работает** — обновлять надо publisher и всех subscribers одновременно. + +См. [Synchronization & VMM stream](/docs/concepts/sync-vmm-stream) — почему именно stream sync, а не CUDA events. + +## 1. Resources / Lifecycle + +Один publisher создаёт следующие kernel-level ресурсы: + +| Resource | Path | Назначение | Cleanup | +|---|---|---|---| +| Unix socket | `/run/cuframes/.sock` | Handshake + control plane | unlink при `destroy()`; orphaned после crash — cleanup'ится при next `create` через `O_EXCL` retry | +| Frame SHM | `/dev/shm/cuframes-` | Frame ring header + slot descriptors | `shm_unlink` при `destroy()`; orphaned автоматически если nobody mmap'ит | +| VMM-allocated VRAM | (no path; FD получают subscribers через `SCM_RIGHTS`) | Frame data в HBM | освобождается когда last subscriber `cuMemUnmap` + publisher `cuMemRelease` | +| Packet SHM | `/dev/shm/cuframes--packets` | Packet ring header + slots + data section | `shm_unlink` при `destroy()`; opt-in (только если вызван `enable_packets`) | + +`` — ASCII, `[a-zA-Z0-9_-]`, 1–63 байт. Library валидирует regex `^[a-zA-Z0-9_-]{1,63}$`. + +### Normal shutdown + +1. `cuframes_publisher_destroy()` вызван. +2. Publisher шлёт всем connected subscribers `SHUTDOWN` через socket. +3. Subscribers закрывают VMM mappings (`cuMemUnmap`, `cuMemAddressFree`, `close(fd)`), socket, munmap, возвращают `DISCONNECTED`. +4. Publisher: `cuMemUnmap` own pool + `cuMemRelease`, close socket, unlink socket + shm. + +### Abnormal shutdown (publisher crash) + +Producer не успевает unlink. Stale socket и shm остаются. Recovery при next `cuframes_publisher_create()`: + +1. Попытка `connect(sock_path)` → `ECONNREFUSED` → stale, unlink. +2. Открытие `/dev/shm/cuframes-`: если magic совпадает, проверка liveness через `pidfd_open(producer_pid)` или `kill(pid, 0)`. +3. Если producer dead → `shm_unlink` + продолжаем create. +4. Если producer жив → return `ALREADY_EXISTS`. + +Subscribers detect publisher crash через socket EOF (recv returns 0) или `SIGPIPE` на send. После этого они должны `cuMemUnmap` все slot mappings и вернуть `DISCONNECTED` в `cuframes_subscriber_next`. + +**Note про VMM leak risk.** В отличие от CUDA IPC handles, POSIX FDs автоматически очищаются ядром при `close()` процесса. Даже если subscriber падает unclean'но — kernel сам close'нет FD и `cuMemUnmap` отработает в driver'е при последующем `cuMemRelease` publisher'а. В v0.4 это менее опасно чем было в legacy v1–v3. + +## 2. Frame SHM layout + +`/dev/shm/cuframes-` имеет фиксированный размер: `sizeof(cuframes_shared_header_t)`. Без variable-length секций. + +### 2.0 Header byte layout + +``` +Offset Size Field Comments +─────── ────── ──────────────────────── ──────────────────────────────────────── +0x0000 4 magic (LE u32) 0xCC7C1DCE +0x0004 4 proto_version (LE u32) 4 +0x0008 4 lib_version_major +0x000C 4 lib_version_minor +0x0010 4 lib_version_patch +0x0014 4 reserved_a 0 +0x0018 8 producer_pid (LE u64) для liveness check +0x0020 8 ring_size (LE u64) 1..16 +0x0028 8 ownership_mode 0 (LIBRARY only в v4) +0x0030 8 policy 0=DROP_OLDEST, 1=STRICT_WAIT +0x0038 8 max_subscribers 32 (захардкожено) +0x0040 64 meta frame meta packed (см. §2.1) +0x0080 64 reserved_events 0 (был ipc_event_handle в v1–v3) +0x00C0 8 global_seq (LE u64) atomic, монотонная +0x00C8 8 subscriber_bitmap atomic, bit per subscriber slot +0x00D0 8 shutdown_flag atomic, 0=normal, 1=shutting down +0x00D8 40 reserved_b 0 +0x0100 N×D slots[ring_size] slot descriptor, см. §2.2 +0x0100+ND M×S subscribers[32] subscriber slot, см. §2.3 +``` + +Constants: + +- N = `ring_size`, до 16 +- D = `sizeof(slot_descriptor)` = **192 байт** (§2.2) +- M = 32 (max subscribers) +- S = `sizeof(subscriber_slot)` = 128 байт (§2.3) +- Max SHM size: `0x0100 + 16×192 + 32×128` ≈ 7.3 KB + +Все atomic-помеченные поля доступны через C11 `_Atomic` (или `__atomic_*`). + +### 2.1 Frame meta (64 байта) + +``` +Offset Size Field Comments +0x00 4 format (LE u32) cuframes_format_t enum +0x04 4 width +0x08 4 height +0x0C 4 pitch_y байт на строку Y / single plane +0x10 4 pitch_uv байт на UV (0 если no chroma plane) +0x14 4 bits_per_pixel информативно +0x18 8 frame_size_bytes полный размер (Y+UV или packed) +0x20 32 reserved 0 +``` + +### 2.2 Slot descriptor (192 байта) + +``` +Offset Size Field Comments +0x00 8 seq (LE u64, atomic) published seq; UINT64_MAX = invalid +0x08 8 pts_ns (LE i64, atomic) +0x10 8 ack_bitmap (LE u64, atomic) bit i = subscriber #i ACK'нул +0x18 8 written_bytes для diagnostics (может быть 0) +0x20 64 reserved_mem_handle 0 в v4 (был cudaIpcMemHandle_t в v1–v3) +0x60 32 reserved_external 0 в v4 (был cuda_ptr_external) +0x80 16 reserved_a +0x90 48 reserved_b +0xC0 END +``` + +В v4 поле `mem_handle` (offset 0x20, 64 байта) **больше не используется** — вместо IPC handle subscribers получают POSIX FD через `SCM_RIGHTS` во время handshake (см. §3). Поле зарезервировано для возможного re-use в будущих версиях. Reader v4 должен игнорировать его содержимое. + +Slot — статичный в плане memory layout (создаётся в publisher_create), но `seq` / `pts_ns` / `ack_bitmap` / `written_bytes` обновляются атомарно на каждом publish. + +### 2.3 Subscriber slot (128 байт) + +``` +Offset Size Field Comments +0x00 8 state (LE u64, atomic) 0=free, 1=connecting, 2=active, 3=draining +0x08 8 consumer_pid (LE u64) liveness check +0x10 8 last_seen_seq (LE u64) monotonic — последний ACK'нутый seq +0x18 8 last_ack_ns (LE i64) wall-clock последнего ACK +0x20 32 consumer_name ASCII zero-terminated, max 31 char +0x40 64 reserved 0 +``` + +Bit-position **0** зарезервирован — sentinel. Используются bits 1..31 → max 31 subscriber'ов (errcode `TOO_MANY` при попытке 32-го). + +## 3. Unix socket protocol + +Publisher `listen()`'ит SOCK_STREAM по `/run/cuframes/.sock`. Subscriber `connect()`'ится. + +Socket используется для: + +- Handshake (`HELLO`, `SUBSCRIBE`) +- **VMM file descriptor delivery** (`VMM_FDS`, новое в v4) через `sendmsg(SCM_RIGHTS)` +- Lifetime signals (`SHUTDOWN`, force-disconnect, `UNSUBSCRIBE`) + +Socket **не** используется для frame transfer — это VMM-mapped shared memory + atomic `global_seq`. + +### 3.1 Framing + +Каждое сообщение — TLV (type-length-value): + +``` +[4 bytes] message_type (LE u32, см. §3.2) +[4 bytes] payload_length (LE u32, bytes excl. these 8 header bytes) +[N bytes] payload (длина = payload_length) +``` + +Для `VMM_FDS` сопровождается ancillary data через `sendmsg` (см. §3.7). + +### 3.2 Message types + +| ID | Name | Direction | Когда | +|---|---|---|---| +| `0x01` | `HELLO_REQ` | C→P | Первое сообщение от consumer | +| `0x02` | `HELLO_RESP` | P→C | Ответ publisher'а | +| `0x03` | `SUBSCRIBE_REQ` | C→P | Завершение handshake, выделить subscriber slot | +| `0x04` | `SUBSCRIBE_RESP` | P→C | Подтверждение + assigned bit | +| `0x05` | `VMM_FDS` | P→C | **(new в v4)** Передача N file descriptors через SCM_RIGHTS | +| `0x10` | `UNSUBSCRIBE` | C→P | Graceful disconnect | +| `0x30` | `SHUTDOWN` | P→C | Publisher shutting down | +| `0xF0` | `PING` | both | Liveness check | +| `0xF1` | `PONG` | both | Reply to PING | +| `0xFE` | `ERROR` | both | Error notification (см. §3.9) | + +`0x20` (`EVENT_FD` в legacy v1–v3) — **deprecated в v4**. Wakeup сейчас делается через atomic polling `global_seq`; reintroduce через FD wakeup channel — possible v0.5 feature. + +### 3.3 HELLO_REQ payload (consumer → publisher) + +``` +[4 bytes] proto_version (LE u32) consumer's wire version (must be 4) +[4 bytes] consumer_name_len (LE u32) +[N bytes] consumer_name (UTF-8, без null-terminator) +[4 bytes] cuda_device (LE i32) +[4 bytes] mode (LE u32, cuframes_subscriber_mode_t) +[12 bytes] reserved (must be 0) +``` + +### 3.4 HELLO_RESP payload (publisher → consumer) + +``` +[4 bytes] result (LE i32) 0 = success, negative = cuframes_error_t +[4 bytes] proto_version_actual (LE u32) publisher's wire version +[4 bytes] ring_size (LE u32) +[4 bytes] ownership_mode (LE u32) 0 (LIBRARY) +[64 bytes] frame_meta см. §2.1 +[4 bytes] shm_path_len (LE u32) +[N bytes] shm_path (UTF-8, ASCII subset) +[12 bytes] reserved +``` + +При `result < 0` payload может быть короче (только `result` + `reserved`). + +### 3.5 SUBSCRIBE_REQ payload + +``` +[4 bytes] proto_version (повтор, для double-check) +[12 bytes] reserved +``` + +### 3.6 SUBSCRIBE_RESP payload + +``` +[4 bytes] result (LE i32) +[4 bytes] assigned_bit (LE u32) 1..31 +[8 bytes] initial_seq (LE u64) текущий global_seq на момент handshake +[12 bytes] reserved +``` + +После SUBSCRIBE_RESP publisher сразу отправляет `VMM_FDS` (§3.7) — это часть handshake'а, subscriber должен ожидать его перед переходом в READY. + +### 3.7 VMM_FDS — file descriptor delivery (v4) + +Publisher отправляет `ring_size` file descriptors через `sendmsg()` с ancillary data (`SCM_RIGHTS`). + +**TLV payload (без ancillary):** + +``` +[4 bytes] fd_count (LE u32) должно = ring_size +[8 bytes] frame_size_bytes (LE u64) size одного VMM mapping +[8 bytes] vmm_granularity (LE u64) округление от CUDA driver (обычно 2 MiB) +[12 bytes] reserved (must be 0) +``` + +**Ancillary data:** `cmsg` уровня `SOL_SOCKET`, type `SCM_RIGHTS`, contains `fd_count × sizeof(int)` file descriptors. Kernel duplicates FDs в consumer process automatically. + +Consumer обязан: + +1. `recvmsg` с buffer для cmsg достаточного размера (рекомендуется `CMSG_SPACE(sizeof(int) * 16)`); +2. Для каждого FD: `cuMemImportFromShareableHandle(&handle, fd, CU_MEM_HANDLE_TYPE_POSIX_FILE_DESCRIPTOR, 0)`; +3. `cuMemAddressReserve` → `cuMemMap` → `cuMemSetAccess` (READ_WRITE на consumer device); +4. `close(fd)` (CUDA driver держит свою reference после import). + +После успешного импорта всех FDs subscriber переходит в READY state. + +### 3.8 SHUTDOWN payload + +``` +[4 bytes] reason (LE u32) 0 = normal, 1 = error, 2 = upgrade +[12 bytes] reserved +``` + +Subscriber на SHUTDOWN → `cuMemUnmap`/`cuMemAddressFree` на всех slots → возвращает `DISCONNECTED` user'у на next call. + +### 3.9 ERROR payload + +``` +[4 bytes] error_code (LE i32) cuframes_error_t +[4 bytes] message_len (LE u32) +[N bytes] message (UTF-8) +[12 bytes] reserved +``` + +## 4. Handshake sequence + +```mermaid +sequenceDiagram + autonumber + participant C as Subscriber (consumer) + participant P as Publisher + + C->>P: socket connect /run/cuframes/cam1.sock + C->>P: HELLO_REQ (proto_version=4, consumer_name, cuda_device, mode) + + alt proto mismatch / format unsupported + P-->>C: HELLO_RESP (result=ERR_PROTOCOL or ERR_FORMAT) + Note over C,P: socket close, subscriber returns error + else handshake ok + P-->>C: HELLO_RESP (result=0, ring_size, frame_meta, shm_path) + C->>P: SUBSCRIBE_REQ (proto_version=4) + + alt subscriber slot pool full + P-->>C: SUBSCRIBE_RESP (result=ERR_TOO_MANY) + else slot allocated + P-->>C: SUBSCRIBE_RESP (result=0, assigned_bit, initial_seq) + P-->>C: VMM_FDS (fd_count, frame_size, granularity) + SCM_RIGHTS [fd0..fdN] + Note over C: cuMemImportFromShareableHandle for each fd
cuMemAddressReserve + Map + SetAccess + Note over C,P: READY — subscriber may poll global_seq + end + end +``` + +Sequence для legacy v1–v3 не имеет шага `VMM_FDS` — там slot descriptor в SHM сам нёс `cudaIpcMemHandle_t`, и subscriber делал `cudaIpcOpenMemHandle` без socket interaction. В v4 этот шаг **обязателен** — без `VMM_FDS` subscriber не получит pointer'ы и не сможет читать frames. + +## 5. Sync model (v4) + +В v0.4 cross-process synchronization упрощена до stream sync на стороне producer'а: + +```c +// Publisher side (libcuframes/src/producer.c) +cuStreamSynchronize(stream); // ensure all writes coherent +atomic_store_release(&slot.seq, next_seq); +atomic_store_release(&hdr.global_seq, next_seq); + +// Consumer side (libcuframes/src/consumer.c) +uint64_t cur = atomic_load_acquire(&hdr.global_seq); +if (cur > my_last) { + // read slot metadata, do cudaMemcpyAsync(DtoD, consumer_stream) + // HW coherence на одном GPU — no event wait нужен +} +``` + +Почему так: + +- VMM-shared memory на одном GPU — single physical HBM region. Producer's `cuStreamSynchronize` гарантирует что writes завершились в HBM. Consumer reads после atomic-release-acquire pair видят валидные данные без CUDA event roundtrip. +- Это **не работает cross-GPU** — для multi-GPU нужен `cuMemSetAccess` на оба device'а + явные events. v4 не поддерживает cross-device VMM share (CUDA driver ограничение). +- Producer overhead `cuStreamSynchronize` ≈ 1 мс на frame при 25 fps — измеримо но приемлемо. + +Подробнее: [Synchronization & VMM stream](/docs/concepts/sync-vmm-stream). + +## 6. ACK protocol + +При публикации slot N publisher: + +1. Записывает frame data в acquire'нутый slot; +2. `cuStreamSynchronize(stream)` — coherence barrier; +3. Atomic: `slot[N].seq = next_seq`, `slot[N].pts_ns = now`, `slot[N].ack_bitmap = 0`; +4. Atomic RELEASE: `global_seq = next_seq`. + +Subscriber: + +1. ACQUIRE load `global_seq`. Если новое — process; +2. Process frame (CUDA kernel, DtoD copy, etc.) на consumer_stream; +3. ACK: `atomic_fetch_or(&slot.ack_bitmap, 1ULL << my_bit, RELEASE)`; +4. Atomic store `subscriber_slot.last_seen_seq = seq`, `last_ack_ns = now`. + +Publisher (STRICT_WAIT mode) перед next publish ждёт: + +- `ack_bitmap == subscriber_bitmap` (все active subscribers ACK'нули), или +- timeout `consumer_ack_timeout_ms` истёк → mark dead subscriber, clear его bit. + +Publisher (DROP_OLDEST mode) — не ждёт ACK, просто перезаписывает slot. + +## 7. Versioning rules + +### 7.1 Wire protocol version + +`proto_version` — single integer. Текущий — `4`. Breaking changes → bump. + +Handshake: + +- Если `subscriber.proto_version != publisher.proto_version` → `HELLO_RESP(result=ERR_PROTOCOL)`. **В v4 нет backward-compat layer'а** с v1–v3 — magic другой, mem-handle scheme другая. + +### 7.2 Library version (semver) + +`lib_version_major.minor.patch` — informational, не используется для compat decisions. Передаётся в SHM header для diagnostics. + +### 7.3 Reserved fields + +Все `reserved_*` — должны быть `0` при write, reader игнорирует. Это позволяет в minor releases добавлять fields в reserved space без breaking ABI. + +## 8. Conformance fixture + +Test skeleton (Phase 1, в `tests/conformance/`): + +```c +TEST(ProtocolLayout, ShmHeaderMagic) { + EXPECT_EQ(CUFRAMES_PROTOCOL_MAGIC_V4, 0xCC7C1DCE); + EXPECT_EQ(cuframes_protocol_version(), 4); +} + +TEST(ProtocolLayout, ShmHeaderOffsets) { + EXPECT_EQ(offsetof(cuframes_shared_header_t, magic), 0x0000); + EXPECT_EQ(offsetof(cuframes_shared_header_t, proto_version), 0x0004); + EXPECT_EQ(offsetof(cuframes_shared_header_t, meta), 0x0040); + EXPECT_EQ(offsetof(cuframes_shared_header_t, global_seq), 0x00C0); +} + +TEST(ProtocolLayout, SlotDescriptorSize) { + EXPECT_EQ(sizeof(cuframes_slot_descriptor_t), 192); +} + +TEST(ProtocolLayout, SubscriberSlotSize) { + EXPECT_EQ(sizeof(cuframes_subscriber_slot_t), 128); +} + +TEST(Handshake, VmmFdsDelivered) { + // Setup publisher with ring_size=4 + // Connect subscriber, complete HELLO+SUBSCRIBE + // Expect: VMM_FDS message with fd_count=4 + 4 valid FDs in SCM_RIGHTS +} +``` + +## 9. Reference implementation + +`libcuframes/src/` в repo: + +- `producer.c` — VMM allocation, FD send, atomic publish +- `consumer.c` — FD receive, VMM import, atomic read +- `protocol.c` — TLV framing, `send_msg_with_fds` / `recv_msg_with_fds` helpers + +Любая другая реализация (Python ctypes, Rust bindings, FFmpeg plugin) должна conformance-tested против этого документа. + +## 10. Packet ring (proto_version remains 4) + +Packet ring — отдельный SHM `/dev/shm/cuframes--packets` с собственным magic `0xCC7C1DCD`. **Не использует CUDA** (encoded data на CPU, без GPU sync). VMM-изменения v0.4 packet ring **не затронули** — wire format и layout совпадают с v0.2 спецификацией. + +### 10.1 Совместимость с frames ring + +- Subscriber может запросить только frames, только packets, или оба (см. §10.9 — subscribe flags). +- Packet ring опционален — если publisher не вызвал `enable_packets`, subscriber'ам `enable_packets` вернёт `NOT_FOUND`. + +### 10.2 Packet SHM layout + +Размер: `sizeof(packet_ring_header_t) + N×PSE + DATA_SIZE`, где: + +- N = `ring_slots`, default 64 (1..1024) +- PSE = `sizeof(packet_slot_entry_t)` = 64 байт (§10.5) +- DATA_SIZE = `data_size`, default 8 MB + +#### Header byte layout + +``` +Offset Size Field Comments +─────────────────────── ────── ────────────────────────── ──────────────────────────── +0x0000 4 magic (LE u32) 0xCC7C1DCD (frames magic + (−1)) +0x0004 4 proto_version (LE u32) 4 (совпадает с frames в v0.4) +0x0008 4 ring_slots (LE u32) N (1..1024) +0x000C 4 data_size (LE u32) bytes for packet data ring +0x0010 4 codec_id (LE u32) AV_CODEC_ID_* enum +0x0014 4 codec_extradata_size ≤ 4096 +0x0018 8 producer_pid (LE u64) +0x0020 8 global_seq (LE u64, atomic) монотонная по packets +0x0028 8 last_keyframe_seq (atomic) для late subscribers +0x0030 8 write_offset (LE u64, atom) текущий cursor в data ring +0x0038 8 shutdown_flag (atomic) +0x0040 4096 codec_extradata SPS/PPS/VPS bytes +0x1040 N×64 slots[N] packet_slot_entry_t +0x1040+N×64 DATA_SIZE data[] wraparound byte buffer +``` + +### 10.3 Codec extradata + +H.264 — SPS + PPS, конкатенированные в **Annex B** формате (start codes `00 00 00 01`). H.265 — VPS + SPS + PPS. + +`codec_id` соответствует FFmpeg `AV_CODEC_ID_H264` (27), `AV_CODEC_ID_HEVC` (173), `AV_CODEC_ID_AV1`. Subscriber пишет extradata в `AVCodecContext.extradata` своего decoder'а или в `AVStream.codecpar->extradata` для muxer'ов. + +Extradata устанавливается publisher'ом **один раз** при первом keyframe (или из RTSP SDP). После — fixed на lifetime publisher'а (codec change mid-stream → destroy + recreate с новым ``). + +### 10.4 Packet slot entry (64 байта) + +``` +Offset Size Field Comments +0x00 8 seq (LE u64, atomic) published seq; UINT64_MAX = invalid +0x08 8 pts_ns (LE i64) +0x10 8 dts_ns (LE i64) для B-frames +0x18 8 data_offset (LE u64) absolute byte cursor в data[] +0x20 4 data_size (LE u32) payload size +0x24 4 flags (LE u32) см. §10.5 +0x28 24 reserved 0 +``` + +`data_offset` — absolute byte cursor (может расти неограниченно), фактический byte index = `data_offset % data_size`. Subscriber'у возможно понадобится split read при wraparound. + +### 10.5 Packet flags + +| Bit | Name | Comments | +|---|---|---| +| 0 | `KEY` | keyframe (IDR for H.264, CRA/IDR for HEVC). **Critical** для late subscribers. | +| 1 | `CORRUPT` | publisher detect'нул damaged packet (RTP loss) — subscriber может skip | +| 2 | `DISCONTINUITY` | был gap перед этим packet (publisher reconnect к камере) | +| 3 | `LAST_IN_AU` | last NAL в access unit — для muxer'ов которые ждут полный frame | +| 4–31 | reserved | 0 | + +Mapping в `AVPacket.flags`: + +- bit 0 → `AV_PKT_FLAG_KEY` +- bit 1 → `AV_PKT_FLAG_CORRUPT` +- bit 2 → `AV_PKT_FLAG_DISCONTINUITY` (FFmpeg 5+) + +### 10.6 Atomic publish (pseudo-C) + +```c +uint64_t seq = atomic_load(&hdr->global_seq, RELAXED) + 1; +uint64_t off = atomic_load(&hdr->write_offset, RELAXED); + +size_t slot_idx = seq % hdr->ring_slots; +packet_slot_entry_t *slot = &slots[slot_idx]; + +// Wraparound write +size_t off_in_ring = off % hdr->data_size; +size_t first = min(size, hdr->data_size - off_in_ring); +memcpy(data + off_in_ring, payload, first); +if (first < size) + memcpy(data, payload + first, size - first); + +slot->pts_ns = pts; +slot->dts_ns = dts; +slot->data_offset = off; +slot->data_size = size; +slot->flags = flags; +atomic_store(&slot->seq, seq, RELEASE); + +atomic_store(&hdr->write_offset, off + size, RELEASE); +atomic_store(&hdr->global_seq, seq, RELEASE); + +if (flags & PKT_FLAG_KEY) + atomic_store(&hdr->last_keyframe_seq, seq, RELEASE); +``` + +### 10.7 Atomic read (pseudo-C) + +```c +uint64_t cur = atomic_load(&hdr->global_seq, ACQUIRE); +if (cur <= my_last_seq) return TIMEOUT; + +uint64_t want_seq = my_last_seq + 1; +size_t slot_idx = want_seq % hdr->ring_slots; +packet_slot_entry_t *slot = &slots[slot_idx]; + +uint64_t slot_seq = atomic_load(&slot->seq, ACQUIRE); +if (slot_seq != want_seq) { + // Overrun — re-anchor on last keyframe + want_seq = atomic_load(&hdr->last_keyframe_seq, ACQUIRE); + return PACKET_OVERRUN; +} + +// Copy payload (wraparound aware) +uint64_t off = slot->data_offset % hdr->data_size; +uint32_t size = slot->data_size; +uint32_t first = min(size, hdr->data_size - off); +memcpy(out, data + off, first); +if (first < size) + memcpy(out + first, data, size - first); + +// Re-check (seqlock variant) — защита от overrun mid-read +if (atomic_load(&slot->seq, ACQUIRE) != want_seq) + return PACKET_OVERRUN; + +my_last_seq = want_seq; +return OK; +``` + +### 10.8 Late subscriber → keyframe-aligned start + +При `cuframes_subscriber_enable_packets()` subscriber устанавливает `my_last_seq = last_keyframe_seq - 1` (читая `last_keyframe_seq` из header'а). Первый `next_packet` вернёт keyframe (decoder может start без glitches). + +**Risk:** если в момент enable_packets `last_keyframe_seq` уже выехал из ring (slow start subscriber, GOP > ring_slots packets) — subscriber detect overrun в первом read и library переходит на следующий keyframe. + +Sizing guide: `packet_ring_slots × avg_packet_size > GOP_size_in_bytes` для нормальной работы. + +### 10.9 Socket protocol extensions для packets + +#### HELLO_REQ — subscribe flags в reserved field + +v4 интерпретирует первые 4 байта `reserved` (offset HELLO_REQ + 28) как `subscribe_flags`: + +| Bit | Name | Comments | +|---|---|---| +| 0 | `WANTS_FRAMES` | подписаться на frames ring (default — implicit) | +| 1 | `WANTS_PACKETS` | подписаться на packet ring | +| 2–31 | reserved | 0 | + +Если subscriber оставляет flags=0 — publisher интерпретирует как `WANTS_FRAMES=true, WANTS_PACKETS=false`. + +#### HELLO_RESP — packet-ring fields в reserved секции + +``` +[4 bytes] packet_shm_path_len (LE u32) 0 = packets disabled at publisher +[N bytes] packet_shm_path (UTF-8) e.g. "cuframes-cam1-packets" (relative to /dev/shm/) +[4 bytes] codec_id (LE u32) AV_CODEC_ID_* +[8 bytes] initial_packet_seq (LE u64) last_keyframe_seq на момент handshake +``` + +Если subscriber запросил `WANTS_PACKETS=1` но publisher не имеет packet ring → `result = ERR_NOT_FOUND`. + +## 11. Open для v0.5+ + +Эти решения **не** должны нарушить v4 compat: + +- **FD wakeup channel** — возврат `EVENT_FD` message + eventfd для replace polling (latency win); +- **Multi-codec в одном publisher** — отдельный slot для thumbnail meta; +- **AMD/ROCm HIP IPC** — заменит cuMemCreate на rocSharedMemoryCreate; +- **Cross-host** через RDMA — отдельный transport, новый proto_version. + +Любое из этих → bump `proto_version` в v5, отдельный document. + +## See also + +- [C API reference](/docs/reference/api-c) — обёртка над protocol. +- [Synchronization & VMM stream](/docs/concepts/sync-vmm-stream) — почему `cuStreamSynchronize`. +- [Frame ring vs Packet ring](/docs/concepts/frame-vs-packet-ring) — когда нужно использовать какой канал. +- [Install](/docs/getting-started/install) — runtime требования. diff --git a/site/docusaurus.config.ts b/site/docusaurus.config.ts new file mode 100644 index 0000000..0daff88 --- /dev/null +++ b/site/docusaurus.config.ts @@ -0,0 +1,146 @@ +import { themes as prismThemes } from 'prism-react-renderer'; +import type { Config } from '@docusaurus/types'; +import type * as Preset from '@docusaurus/preset-classic'; + +const config: Config = { + title: 'cuframes', + tagline: 'Zero-copy decoded video frames over CUDA — across processes, without pid sharing.', + favicon: 'img/favicon.ico', + + future: { + v4: true, + }, + + url: 'https://cuframes.dev', + baseUrl: '/', + + organizationName: 'gx', + projectName: 'cuframes-docs', + + onBrokenLinks: 'throw', + + i18n: { + defaultLocale: 'en', + locales: ['en', 'ru'], + localeConfigs: { + en: { label: 'English', direction: 'ltr', htmlLang: 'en-US' }, + ru: { label: 'Русский', direction: 'ltr', htmlLang: 'ru-RU', path: 'ru', translate: true }, + }, + }, + + presets: [ + [ + 'classic', + { + docs: { + sidebarPath: './sidebars.ts', + editUrl: + 'https://git.goldix.org/gx/cuframes-docs/_edit/main/site/', + showLastUpdateTime: true, + showLastUpdateAuthor: false, + }, + blog: false, + theme: { + customCss: './src/css/custom.css', + }, + } satisfies Preset.Options, + ], + ], + + themes: [ + '@docusaurus/theme-mermaid', + [ + require.resolve('@easyops-cn/docusaurus-search-local'), + { + hashed: true, + language: ['en', 'ru'], + indexDocs: true, + indexBlog: false, + indexPages: false, + docsRouteBasePath: '/docs', + highlightSearchTermsOnTargetPage: true, + explicitSearchResultPath: true, + }, + ], + ], + + markdown: { + mermaid: true, + hooks: { + onBrokenMarkdownLinks: 'warn', + }, + }, + + themeConfig: { + // OpenGraph social card — добавить позже (1200×630). + + navbar: { + title: 'cuframes', + // Logo TBD — пока без logo block (Docusaurus покажет только title). + items: [ + { + type: 'docSidebar', + sidebarId: 'mainSidebar', + position: 'left', + label: 'Documentation', + }, + { + href: 'https://git.goldix.org/gx/cuframes', + label: 'Source', + position: 'right', + }, + { + type: 'localeDropdown', + position: 'right', + }, + ], + }, + + footer: { + style: 'dark', + links: [ + { + title: 'Documentation', + items: [ + { label: 'What is cuframes', to: '/docs/intro' }, + { label: 'Getting started', to: '/docs/getting-started/install' }, + { label: 'FFmpeg integration', to: '/docs/integration/ffmpeg-demuxer' }, + { label: 'API reference', to: '/docs/reference/api-c' }, + ], + }, + { + title: 'Project', + items: [ + { label: 'Source (Gitea)', href: 'https://git.goldix.org/gx/cuframes' }, + { label: 'Issues', href: 'https://git.goldix.org/gx/cuframes/issues' }, + { label: 'Releases', href: 'https://git.goldix.org/gx/cuframes/releases' }, + { label: 'License (LGPL-2.1+)', href: 'https://git.goldix.org/gx/cuframes/raw/branch/main/LICENSE' }, + ], + }, + { + title: 'Related', + items: [ + { label: 'NVIDIA CUDA VMM API', href: 'https://docs.nvidia.com/cuda/cuda-driver-api/group__CUDA__VA.html' }, + { label: 'FFmpeg', href: 'https://ffmpeg.org/' }, + { label: 'Frigate (NVR consumer example)', href: 'https://frigate.video/' }, + ], + }, + ], + copyright: `© ${new Date().getFullYear()} cuframes contributors. Licensed under LGPL-2.1+.`, + }, + + prism: { + theme: prismThemes.github, + darkTheme: prismThemes.dracula, + additionalLanguages: ['c', 'cpp', 'python', 'bash', 'docker', 'yaml'], + }, + + colorMode: { + defaultMode: 'light', + disableSwitch: false, + respectPrefersColorScheme: true, + }, + } satisfies Preset.ThemeConfig, +}; + +export default config; diff --git a/site/i18n/ru/docusaurus-plugin-content-docs/current/concepts/_category_.json b/site/i18n/ru/docusaurus-plugin-content-docs/current/concepts/_category_.json new file mode 100644 index 0000000..09c4ebf --- /dev/null +++ b/site/i18n/ru/docusaurus-plugin-content-docs/current/concepts/_category_.json @@ -0,0 +1,7 @@ +{ + "label": "Концепции", + "position": 3, + "collapsible": true, + "collapsed": false, + "link": null +} diff --git a/site/i18n/ru/docusaurus-plugin-content-docs/current/concepts/frame-vs-packet-ring.md b/site/i18n/ru/docusaurus-plugin-content-docs/current/concepts/frame-vs-packet-ring.md new file mode 100644 index 0000000..71f4444 --- /dev/null +++ b/site/i18n/ru/docusaurus-plugin-content-docs/current/concepts/frame-vs-packet-ring.md @@ -0,0 +1,118 @@ +--- +title: Frame ring vs Packet ring +sidebar_position: 1 +--- + +# Frame ring vs Packet ring + +cuframes даёт publisher'у два **независимых** ring buffer'а с разной семантикой и разной стоимостью: + +- **Frame ring** — decoded NV12 (или другой pixel format), shared zero-copy через CUDA VMM. +- **Packet ring** — encoded H.264 / H.265 NAL units, shared через POSIX shared memory. + +Это два разных канала на одной паре publisher↔subscriber. Можно использовать один, оба, или иметь несколько consumer'ов где одни читают frame ring, другие — packet ring. + +## Зачем два канала + +Один publisher обычно обслуживает разные классы потребителей. AI-детектор и GPU-композитор хотят уже decoded GPU pointer (frame ring); NVR-recorder и replay-сервис хотят compact encoded stream (packet ring). Заставлять recorder декодировать ради того чтобы потом снова encode'нуть для сохранения — пустая работа. + +```mermaid +flowchart LR + RTSP[RTSP camera] --> Dec[NVDEC decode] + Dec --> Pub[Publisher] + Pub -- frame ring
CUDA VMM --> AI[AI inference
GPU consumer] + Pub -- frame ring
CUDA VMM --> Comp[GPU compositor
CUDA filter] + Pub -- packet ring
POSIX shm --> NVR[NVR / recorder
mp4 mux] + Pub -- packet ring
POSIX shm --> Replay[Replay / seek service] +``` + +## Frame ring + +**Что:** ring из N CUDA-allocated slot'ов (`cuMemCreate(POSIX_FILE_DESCRIPTOR)`), экспортируются через `SCM_RIGHTS` consumer'у, импортируются через `cuMemImportFromShareableHandle`. Consumer получает CUDA device pointer на ту же физическую HBM-память что и publisher. + +**Когда использовать:** + +- consumer работает на GPU и хочет данные as-is (AI inference, CUDA filter, NVENC re-encode на другом codec); +- латентность критична — между publish и consume hardware coherence, без encode/decode roundtrip; +- consumer декодировать сам не хочет. + +**Стоимость:** `ring_size × frame_size` GPU-памяти на publisher. Для NV12 1920×1080 ring=4 это ≈ 12 MiB на publisher (VMM granularity на RTX 5090 — 2 MiB, реально ≈ 16 MiB). Consumer'ы memory не платят — это та же физическая память. + +API: + +```c +cuframes_publisher_create(&cfg, &pub); // ring аллоцируется +cuframes_publisher_acquire(pub, &cuda_ptr); // получаем slot +// ... NVDEC / kernel пишут в cuda_ptr ... +cuframes_publisher_publish(pub, stream, pts_ns); +``` + +## Packet ring + +**Что:** ring из slot'ов с metadata (pts, dts, size, flags) + отдельная data-секция (default 8 MiB) в POSIX shm `/dev/shm/cuframes--packets`. Publisher закидывает туда encoded NAL units (Annex B byte stream). + +**Когда использовать:** + +- consumer декодирует сам (FFmpeg demuxer, recorder, на остальном GPU нет места); +- нужен compact stream для записи на диск; +- late subscriber должен сам resync'нуться от ближайшего keyframe — это семантика ring'а (см. [protocol reference](/docs/reference/protocol)). + +**Стоимость:** POSIX shm на host — `data_size + ring_slots × 64 байта`. На GPU расход нулевой. + +Packet ring **опционален и отдельно активируется** на уже созданном publisher'е: + +```c +cuframes_publisher_create(&cfg, &pub); + +cuframes_packet_ring_options_t pkt_opts = { + .ring_slots = 64, + .data_size = 8 * 1024 * 1024, + .max_packet_size = 2 * 1024 * 1024, + .codec_id = 27, // AV_CODEC_ID_H264 +}; +cuframes_publisher_enable_packets(pub, &pkt_opts); +cuframes_publisher_set_codec_extradata(pub, sps_pps, sps_pps_size); + +// в цикле: +cuframes_publisher_publish_packet(pub, nal_data, nal_size, + pts_ns, dts_ns, + CUFRAMES_PKT_FLAG_KEY); +``` + +Аналогично на subscriber'е: + +```c +cuframes_subscriber_create(&cfg, &sub); +cuframes_subscriber_enable_packets(sub); // открывает второй SHM + +cuframes_packet_t *pkt; +cuframes_subscriber_next_packet(sub, &pkt, -1); +``` + +Subscriber может включить любую комбинацию: только frame ring, только packet ring, оба сразу. Это два независимых SHM segment'а с разными magic. + +## Сравнение + +| | Frame ring | Packet ring | +|---|---|---| +| Содержимое | Decoded NV12 / RGB / etc | Encoded H.264 / H.265 NAL | +| Транспорт | CUDA VMM + POSIX FD | POSIX shm | +| Sync mechanism | atomic seq + `cuStreamSynchronize` | atomic seq (нет CUDA) | +| Latency publish→consume | sub-frame, без encode roundtrip | sub-frame, но consumer декодирует | +| Memory cost (publisher) | `ring_size × frame_size` GPU | `data_size` host shm | +| Memory cost (consumer) | 0 (shared physical pages) | 0 (mmap same shm) | +| Требует CUDA на consumer | да | нет | +| Late join semantics | newest frame документирован | resync на last keyframe | +| Типичный use case | AI inference, GPU compositor | NVR recording, replay | + +## Можно ли один без другого + +Да. Frame ring аллоцируется в `cuframes_publisher_create` — без него publisher вообще не существует. Packet ring опционален: если `cuframes_publisher_enable_packets` не вызвать, publisher просто не примет `publish_packet`, а subscriber на `enable_packets` получит `CUFRAMES_ERR_NOT_FOUND`. + +Обратное (packet ring без frame ring) в текущем API не поддерживается — для pure encoded-only сценариев это TODO будущей версии. + +## Следующее + +- [Ownership modes](/docs/concepts/ownership-modes) — как выбрать кто аллоцирует ring. +- [Synchronization](/docs/concepts/sync-vmm-stream) — почему frame ring sync через stream sync, а не через CUDA events. +- [Первый publisher](/docs/getting-started/first-publisher) — рабочий C-пример без packet ring. diff --git a/site/i18n/ru/docusaurus-plugin-content-docs/current/concepts/ownership-modes.md b/site/i18n/ru/docusaurus-plugin-content-docs/current/concepts/ownership-modes.md new file mode 100644 index 0000000..46a6b30 --- /dev/null +++ b/site/i18n/ru/docusaurus-plugin-content-docs/current/concepts/ownership-modes.md @@ -0,0 +1,119 @@ +--- +title: Ownership modes +sidebar_position: 2 +--- + +# Ownership modes + +Кто владеет CUDA-памятью в которую publisher пишет frame'ы — сама library или внешний код. В заголовке `cuframes.h` объявлены оба варианта: + +```c +typedef enum cuframes_ownership_mode { + CUFRAMES_OWNERSHIP_LIBRARY = 0, + CUFRAMES_OWNERSHIP_EXTERNAL = 1, +} cuframes_ownership_mode_t; +``` + +Но в v0.4 **работает только `LIBRARY`**. `EXTERNAL` оставлен в API для бинарной совместимости и помечен deprecated. Ниже — почему и что с этим делать если твой код раньше использовал EXTERNAL. + +## LIBRARY mode (единственный рабочий в v0.4) + +Publisher просит library аллоцировать ring заданного размера. Каждый кадр publisher получает чистый slot, пишет в него, отдаёт обратно через publish. + +```c +cuframes_publisher_config_t cfg = { + .key = "cam1", + .width = 1920, + .height = 1080, + .format = CUFRAMES_FORMAT_NV12, + .ownership = CUFRAMES_OWNERSHIP_LIBRARY, + .ring_size = 4, + .policy = CUFRAMES_POLICY_DROP_OLDEST, +}; +cuframes_publisher_t *pub; +cuframes_publisher_create(&cfg, &pub); + +void *slot; +cuframes_publisher_acquire(pub, &slot); +// NVDEC / cuMemcpy / kernel пишет в slot +cuframes_publisher_publish(pub, stream, cuframes_now_ns()); +``` + +Под капотом library: + +1. Аллоцирует `ring_size` слотов через `cuMemCreate(CU_MEM_HANDLE_TYPE_POSIX_FILE_DESCRIPTOR)`. +2. `cuMemMap` + `cuMemSetAccess` чтобы локальный publisher мог писать. +3. При subscribe передаёт POSIX FD через `sendmsg(SCM_RIGHTS)`. +4. Subscriber делает `cuMemImportFromShareableHandle` — получает указатель на ту же физическую HBM. + +Этот путь zero-copy для consumer'ов. На publisher'е memory overhead = `ring_size × frame_size`. На consumer'е — ноль. + +## EXTERNAL mode (deprecated в v0.4) + +Идея была: publisher уже имеет CUDA pointer'ы из чужого pool'а (FFmpeg `AVHWFramesContext`, NVDEC output, DeepStream, какой-то custom decoder) и хочет их просто пошарить, без extra allocation и без D2D copy. + +```c +// Так раньше работало в v0.1–0.3. В v0.4 не работает. +cuframes_publisher_create_external(&cfg, ffmpeg_pool_ptrs, + pool_size, frame_size, &pub); +``` + +В v0.4 этот путь сломан by design. + +### Почему EXTERNAL не работает с VMM + +cuframes v0.4 публикует frame'ы через POSIX FD, потому что это единственный CUDA-IPC канал который **не требует shared PID namespace** (см. [memory note про v0.4](/docs/intro) и [sync writeup](/docs/concepts/sync-vmm-stream)). FD получается через `cuMemExportToShareableHandle` — а эта функция **требует**, чтобы память была аллоцирована через `cuMemCreate` с соответствующим `requestedHandleType`. + +Существующий `cudaMalloc` / `cudaMallocPitch` pointer (тот что отдаёт FFmpeg или DeepStream) к VMM не относится. Экспортировать его как POSIX FD нечем. Старый путь v0.3 использовал `cudaIpcGetMemHandle` (opaque 64-байтовая структура, передавалась через socket payload) — он работал с любой памятью, но требовал shared PID. На v0.4 от него ушли осознанно. + +### Что делать вместо + +Если у тебя уже есть GPU pool из FFmpeg / NVDEC / etc — переходи на LIBRARY mode с одним extra device-to-device copy: + +```c +// FFmpeg выдаёт frame в hwframe pool: +AVFrame *src = ...; // src->data[0] = cudaMalloc'd by FFmpeg + +void *slot; +cuframes_publisher_acquire(pub, &slot); + +// 1 × DtoD copy с pitch: +cuMemcpy2DAsync(&(CUDA_MEMCPY2D){ + .srcMemoryType = CU_MEMORYTYPE_DEVICE, + .srcDevice = (CUdeviceptr)src->data[0], + .srcPitch = src->linesize[0], + .dstMemoryType = CU_MEMORYTYPE_DEVICE, + .dstDevice = (CUdeviceptr)slot, + .dstPitch = pub_pitch, + .WidthInBytes = width, + .Height = height_y + height_uv, +}, stream); + +cuframes_publisher_publish(pub, stream, pts_ns); +``` + +Так переведён инструмент `cuframes-rtsp-source` в составе репозитория cuframes — раньше он принимал FFmpeg pool через EXTERNAL, теперь делает acquire + 1 D2D copy. Overhead — единичный DtoD на 1920×1080 NV12 это десятки микросекунд, в порядке шума на фоне `cuStreamSynchronize`. + +### Memory trade-off + +| | LIBRARY (v0.4) | EXTERNAL (v0.3, deprecated) | +|---|---|---| +| Publisher extra alloc | `ring_size × frame_size` | 0 | +| D2D copy на frame | 1 (если есть upstream pool) или 0 (если decoder пишет прямо в slot) | 0 | +| Zero-copy для consumer'ов | да | да | +| Работает без shared PID | да | нет | +| Поддерживается в v0.4 | да | **нет** | + +Если decoder можно научить писать прямо в slot (`acquire` сначала, потом decode в полученный pointer) — extra D2D исчезает. Так делает `cuframes-rtsp-source` со своим NVDEC pipeline'ом. + +## Вернётся ли EXTERNAL + +Если NVIDIA добавит способ экспорта `cudaMalloc`-памяти как POSIX FD — да, это вернёт zero-D2D путь без жертвования cross-namespace. На момент CUDA 12.4 такого API нет, и в roadmap NVIDIA это не анонсировано. На практике рассчитывать на это не стоит. + +Поле `ownership` в `cuframes_publisher_config_t` остаётся ради ABI стабильности. Передача `CUFRAMES_OWNERSHIP_EXTERNAL` в v0.4 вернёт `CUFRAMES_ERR_INVALID_ARG`. Вызов `cuframes_publisher_create_external` объявлен в заголовке, но возвращает ту же ошибку. + +## Следующее + +- [Synchronization](/docs/concepts/sync-vmm-stream) — почему v0.4 ушёл от CUDA events и почему это связано с тем же VMM-ограничением. +- [Первый publisher](/docs/getting-started/first-publisher) — рабочий LIBRARY-mode пример. +- [Protocol reference](/docs/reference/protocol) — wire format VMM_FDS handshake. diff --git a/site/i18n/ru/docusaurus-plugin-content-docs/current/concepts/sync-vmm-stream.md b/site/i18n/ru/docusaurus-plugin-content-docs/current/concepts/sync-vmm-stream.md new file mode 100644 index 0000000..bc3bc2d --- /dev/null +++ b/site/i18n/ru/docusaurus-plugin-content-docs/current/concepts/sync-vmm-stream.md @@ -0,0 +1,121 @@ +--- +title: "Синхронизация: stream sync, не CUDA events" +sidebar_position: 3 +--- + +# Синхронизация: stream sync, не CUDA events + +Между producer'ом и consumer'ом в разных процессах нужен механизм, который гарантирует: к моменту когда consumer начинает читать slot, **все GPU writes producer'а в этот slot уже зафиксированы в HBM**. До v0.4 этим занимались CUDA IPC events. С v0.4 — `cuStreamSynchronize` + atomic ordering. Смена не косметическая, и здесь объяснено почему. + +## Что было в v0.3 — CUDA IPC events + +Producer на каждый publish делал `cudaEventRecord` на свой stream. Handle event'а (`cudaIpcEventHandle_t`) экспортировался один раз при старте и шарился со всеми subscriber'ами. Subscriber на каждый frame делал `cudaStreamWaitEvent` на свой stream — GPU scheduler сам ждал completion record'а producer'а перед тем как пустить DtoD copy в очередь. + +Преимущество: CPU не блокируется. Producer кидает работу в очередь и едет дальше; ожидание происходит в GPU command queue. + +Недостаток: **CUDA IPC events требуют shared PID namespace между процессами** — точно так же как требовал `cudaIpcOpenMemHandle`. NVIDIA Driver API экспортирует event handle только через тот же legacy IPC механизм, для которого нет POSIX FD аналога. `CU_MEM_HANDLE_TYPE_POSIX_FILE_DESCRIPTOR` существует для memory, для events — нет. + +Этот недостаток нас и убил на Frigate. Frigate под s6-overlay не отдаёт shared PID — а попытка `cudaIpcOpenEventHandle` без shared PID падает молча и subscribe зависает на первом frame timeout'ом. См. [memory feedback про pid share](/docs/intro). + +## Что делает v0.4 вместо + +Producer перед публикацией seq делает **`cuStreamSynchronize`** на тот stream куда писались GPU данные. Это блокирующая CPU-операция — функция возвращается только когда все pending writes этого stream'а зафиксированы. После этого atomic store в shared header. + +Из `producer.c::do_publish` (v0.4): + +```c +static int do_publish(cuframes_publisher_t *pub, int32_t slot, + void *stream, int64_t pts_ns) +{ + /* 1. ждём GPU writes этого stream'а */ + cuStreamSynchronize((CUstream)stream); + + /* 2. обнуляем ack-bitmap для нового seq */ + atomic_store_explicit(&pub->hdr->slots[slot].ack_bitmap, 0, + memory_order_release); + atomic_store_explicit(&pub->hdr->slots[slot].pts_ns, pts_ns, + memory_order_release); + + /* 3. publish slot.seq — после этого consumer его увидит */ + atomic_store_explicit(&pub->hdr->slots[slot].seq, pub->next_seq, + memory_order_release); + + /* 4. publish global_seq — wake-up для poll'ящих consumer'ов */ + atomic_store_explicit(&pub->hdr->global_seq, pub->next_seq, + memory_order_release); + return 0; +} +``` + +Consumer на той стороне (`consumer.c`) делает acquire-load, читает slot, и **повторно проверяет seq** уже после того как зафиксировал указатель — это защита от того что producer успел перезаписать slot между чтением `global_seq` и реальным копированием: + +```c +uint64_t gs = atomic_load_explicit(&sub->hdr->global_seq, memory_order_acquire); +// ... найти slot_idx по gs ... +uint64_t slot_seq = atomic_load_explicit(&sub->hdr->slots[slot_idx].seq, + memory_order_acquire); +int64_t pts = atomic_load_explicit(&sub->hdr->slots[slot_idx].pts_ns, + memory_order_acquire); + +/* v0.4: producer уже cuStreamSynchronize'нул перед atomic_store seq. + * post-check verify_seq защищает от перезаписи slot'а producer'ом. */ +uint64_t verify_seq = atomic_load_explicit(&sub->hdr->slots[slot_idx].seq, + memory_order_acquire); +``` + +После post-check consumer делает DtoD memcpy в свой stream. На одном GPU **hardware coherence гарантирована** — HBM один, cache L2 общий, после `cuStreamSynchronize` у producer'а все его writes уже в L2/HBM, и любой subsequent kernel/copy с того же GPU их увидит. + +## Sequence diagram + +```mermaid +sequenceDiagram + participant PApp as Publisher app + participant PStream as Publisher CUDA stream + participant HBM as GPU HBM (shared) + participant Header as SHM header (atomic) + participant CApp as Consumer app + participant CStream as Consumer CUDA stream + + PApp->>PStream: kernel / NVDEC writes + Note over PStream,HBM: async — pending in stream + PApp->>PStream: cuStreamSynchronize + PStream-->>HBM: all writes flushed + PStream-->>PApp: return (CPU unblocked) + PApp->>Header: atomic_store(seq, release) + + loop poll + CApp->>Header: atomic_load(global_seq, acquire) + end + CApp->>Header: read pts, slot_seq + CApp->>Header: atomic_load(slot_seq, acquire) [verify] + CApp->>CStream: cuMemcpyDtoDAsync(slot → dst) + CStream->>HBM: read — sees flushed data + CStream-->>CApp: copy enqueued +``` + +## Trade-offs + +| | v0.3 (CUDA IPC events) | v0.4 (stream sync) | +|---|---|---| +| Cross-namespace (без shared PID) | **нет** | да | +| CPU блокировка на publish | нет | да, ~1 ms | +| GPU command queue ordering | автоматически | вручную (acquire/release) | +| Лишний race без post-check | нет | да, защищён verify_seq | +| Зависимость от CUDA Driver feature | `cudaIpcGetEventHandle` | `cuStreamSynchronize` (всегда есть) | +| Совместимость с s6-overlay / Frigate | сломано | работает | + +`cuStreamSynchronize` стоит порядка миллисекунды (зависит от того сколько pending work на stream'е). На 25 fps publisher это ≈ 2.5% CPU времени publisher thread'а — заметно, но не критично для real-time CCTV. Если для твоего сценария это дорого — возможна оптимизация через `cuEventQuery` polling, но v0.4 этого пока не делает (sync проще, корректнее, и достаточно дёшев). + +Отказ от events — это не «лучше или хуже», это смена области применения. v0.3 не работал в s6/Frigate. v0.4 работает, ценой ~1 ms CPU per publish. + +## Что это означает для разработчика + +- Передавай в `cuframes_publisher_publish` **тот же stream**, на котором писались данные. Иначе `cuStreamSynchronize` будет ждать чужие writes (в худшем случае — никаких) и data race вернётся. +- `stream = NULL` (default stream) допустим, но default stream сериализуется со всем GPU-контекстом — это обычно медленнее чем dedicated stream. +- Consumer не должен полагаться на CUDA event sync — его больше нет. Stream sync на producer'е + atomic ordering на consumer'е заменяют всю старую IPC event machinery. + +## Следующее + +- [Frame ring vs Packet ring](/docs/concepts/frame-vs-packet-ring) — packet ring sync проще, там нет CUDA вообще. +- [Ownership modes](/docs/concepts/ownership-modes) — почему VMM ограничение убрало и EXTERNAL и события одновременно. +- [Protocol reference](/docs/reference/protocol) — точный layout shared header и atomic-полей. diff --git a/site/i18n/ru/docusaurus-plugin-content-docs/current/faq.md b/site/i18n/ru/docusaurus-plugin-content-docs/current/faq.md new file mode 100644 index 0000000..5ca2fb8 --- /dev/null +++ b/site/i18n/ru/docusaurus-plugin-content-docs/current/faq.md @@ -0,0 +1,105 @@ +--- +title: FAQ +sidebar_position: 99 +--- + +# Частые вопросы + +## cuframes production-ready? + +Честный ответ: **ранняя стадия, но проверено в одном реальном развёртывании**. v0.4 крутится 24+ часов в CCTV-сетапе (4 IP-камеры → publisher → 2 subscriber'а: NVR-запись + grid-composer → TV) без вмешательства. Это не «проверено в продакшене на масштабе» — это «домашний сетап одного инженера». + +Рекомендуем cuframes если: + +- Ты строишь свой video pipeline и понимаешь риски OSS-библиотеки на v0.x. +- Твоя команда сможет прочитать исходник если что-то сломается (это ≈ 2k строк C). +- Ты лучше запиннишь известный commit, чем будешь гоняться за semver-обещаниями. + +Не рекомендуем cuframes если: + +- Нужны контракты vendor support. +- Ты поставляешь клиентам, которые могут в 3 утра завести инцидент на email maintainer'а. +- Не можешь позволить себе писать workaround если фича придёт криво. + +## Как cuframes сравнить с DeepStream? + +| | cuframes | NVIDIA DeepStream | +| --------------------- | ------------------------- | ------------------------- | +| Scope | Library (только data plane) | Полный SDK + runtime | +| Лицензия | LGPL-2.1+ | Проприетарный EULA | +| Footprint | ~140 KB `.so` | Multi-GB runtime | +| Lock-in | Никакого — pipeline твой | Pipeline = DeepStream-плагины | +| Cross-process sharing | Native (в этом весь смысл) | Внутри одного процесс-дерева | +| Поддержка | Best-effort GitHub | Платная enterprise | +| Кривая обучения | Часы | Недели | + +cuframes **не** пытается заменить DeepStream. Решает одну конкретную задачу: «У меня есть один CUDA decoder и несколько процессов, которые хотят decoded frame'ы без re-decode». + +## Почему не GStreamer? + +В GStreamer есть элементы `cudaupload` / `cudadownload`, но нет zero-copy cross-process модели — каждый consumer тянет свой pipeline. Можно нахачить с `shmsink` / `shmsrc`, но теряется CUDA-residency (frame'ы прыгают через CPU-память). cuframes именно этот roundtrip и избегает. + +## Почему не DMA-BUF + V4L2? + +Это современный kernel-native путь, и он работает cross-vendor. Мы его рассматривали. Почему пошли через CUDA VMM: + +- Целевая платформа — NVIDIA-only (существующий CUDA decode pipeline). +- Интеграция DMA-BUF с CUDA требует `EGLStream`-interop boilerplate — больше кода чем путь VMM + POSIX FD. +- Поддержка драйверами варьируется по возрасту GPU; CUDA VMM стабилен с CUDA 10.2. + +Если твой проект cross-vendor — DMA-BUF правильный выбор, и cuframes тебе не подходит. + +## Можно использовать на Windows? + +Нет. Реализация использует POSIX shared memory (`shm_open`), Unix sockets и передачу file descriptors через `SCM_RIGHTS`. Порт на Windows потребует: + +- Windows-примитивы shared memory (`CreateFileMapping`). +- Другой механизм шаринга FD (`DuplicateHandle` через named pipe). +- CUDA VMM `WIN32_HANDLE` вместо `POSIX_FILE_DESCRIPTOR`. + +В roadmap не стоит. PR'ы приветствуются. + +## Publisher и consumer могут быть на разных машинах? + +Нет. POSIX file descriptors не ходят по сети. Для cross-host шаринга видео нужен другой transport: RTSP, SRT, NDI, или своя реализация через NIC RDMA. cuframes строго same-host. + +## Что если publisher упадёт пока consumer читает? + +Следующий `cuframes_subscriber_next()` consumer'а вернёт `CUFRAMES_ERR_DISCONNECTED`. Consumer должен: + +1. Вызвать `cuframes_subscriber_destroy()`. +2. Подождать (например, 1–2 секунды back-off). +3. Попытаться `cuframes_subscriber_create()` снова с тем же key. + +FFmpeg demuxer (`cuframes://`) делает это автоматически — каждые 2 секунды re-subscribe'ится и возвращает `EAGAIN` в avformat-слой вместо `EOF`. Смотри `libavformat/cuframesdec.c` если переписываешь это под другой framework. + +## Можно несколько publisher'ов на один key? + +Нет. Каждый key (`/run/cuframes/.sock` + `/dev/shm/cuframes-`) маппится ровно в одного publisher'а. Publisher на `create()` детектит «уже работает» через shm header + проверку PID liveness и падает с `CUFRAMES_ERR_ALREADY_EXISTS`. + +Для load balancing или HA-сценариев придётся накладывать свою схему именования сверху (например, `cam1-primary`, `cam1-backup`, и логика на стороне consumer'а выбирать к кому подписаться). + +## Сколько subscriber'ов держит publisher? + +`CUFRAMES_MAX_SUBSCRIBERS = 32` (ограничено bitmap'ом). Поднятие потребует протокольной смены версии, потому что bitmap лежит в SHM header. + +На практике мы держим 2–3 subscriber'а на камеру (NVR + AI inference + grid-composer). 32 — с запасом. + +## Вопросы по лицензии + +LGPL-2.1+. cuframes можно использовать в коммерческих закрытых продуктах при условии: + +- Динамическая линковка (`.so` заменяема конечным пользователем). +- Любые модификации самого `libcuframes` публикуются под LGPL. + +Static linking затягивает весь проект под LGPL — обычно не то что нужно. + +Если LGPL несовместим с твоим use case'ом (например, embedded без возможности заменить library), напиши до того как форкнуть. + +## Куда репортить баги / контрибьютить? + +- Source-репо: https://git.goldix.org/gx/cuframes +- Issues: тот же репо, `/issues` +- Гайд по контрибьюту: `CONTRIBUTING.md` в source-дереве + +Этот документационный сайт живёт отдельно: https://git.goldix.org/gx/cuframes-docs — фиксы опечаток и контентные PR'ы — через ту же Gitea. diff --git a/site/i18n/ru/docusaurus-plugin-content-docs/current/getting-started/_category_.json b/site/i18n/ru/docusaurus-plugin-content-docs/current/getting-started/_category_.json new file mode 100644 index 0000000..e95b62e --- /dev/null +++ b/site/i18n/ru/docusaurus-plugin-content-docs/current/getting-started/_category_.json @@ -0,0 +1,7 @@ +{ + "label": "Быстрый старт", + "position": 2, + "collapsible": true, + "collapsed": false, + "link": null +} diff --git a/site/i18n/ru/docusaurus-plugin-content-docs/current/getting-started/first-publisher.md b/site/i18n/ru/docusaurus-plugin-content-docs/current/getting-started/first-publisher.md new file mode 100644 index 0000000..5ea2eff --- /dev/null +++ b/site/i18n/ru/docusaurus-plugin-content-docs/current/getting-started/first-publisher.md @@ -0,0 +1,110 @@ +--- +title: Первый publisher +sidebar_position: 2 +--- + +# Первый publisher + +Минимальный publisher, который экспонирует CUDA-resident ring из 4 NV12-кадров 1920×1080 и пишет в него 10 frame'ов. Каждый frame заполняется однобайтовым pattern'ом через `cudaMemsetAsync`, чтобы subscriber потом мог end-to-end проверить содержимое. + +Это упрощённая версия [`spike/smoke_v04/smoke_pub.c`](https://git.goldix.org/gx/cuframes/src/branch/main/spike/smoke_v04/smoke_pub.c) из репозитория cuframes. + +## Исходник + +```c +/* first_publisher.c — publish 10 NV12 1920x1080 frames, then exit. */ +#include +#include +#include +#include + +int main(int argc, char **argv) { + const char *key = argc > 1 ? argv[1] : "mykey"; + + cuframes_publisher_config_t cfg = {0}; + cfg.key = key; + cfg.width = 1920; + cfg.height = 1080; + cfg.format = CUFRAMES_FORMAT_NV12; + cfg.ownership = CUFRAMES_OWNERSHIP_LIBRARY; + cfg.ring_size = 4; + cfg.policy = CUFRAMES_POLICY_DROP_OLDEST; + cfg.cuda_device = 0; + + cuframes_publisher_t *pub = NULL; + int r = cuframes_publisher_create(&cfg, &pub); + if (r != CUFRAMES_OK) { + fprintf(stderr, "create: %s\n", cuframes_strerror(r)); + return 1; + } + + cudaStream_t stream; + cudaStreamCreate(&stream); + + for (int i = 0; i < 10; i++) { + void *ptr = NULL; + if ((r = cuframes_publisher_acquire(pub, &ptr)) != CUFRAMES_OK) break; + + /* NV12 = Y plane + interleaved UV plane = width*height*3/2 bytes */ + cudaMemsetAsync(ptr, (uint8_t)i, 1920 * 1080 * 3 / 2, stream); + + r = cuframes_publisher_publish(pub, stream, cuframes_now_ns()); + if (r != CUFRAMES_OK) break; + + struct timespec ts = {.tv_nsec = 40000000}; /* 25 fps */ + nanosleep(&ts, NULL); + } + + cudaStreamDestroy(stream); + cuframes_publisher_destroy(pub); + return r == CUFRAMES_OK ? 0 : 1; +} +``` + +## Разбор + +**`cuframes_publisher_config_t cfg = {0};`** — всегда zero-initialise. В структуре есть поле `_reserved[4]`, которое должно оставаться нулевым ради forward ABI compatibility. + +**`cfg.key = "mykey"`** — уникально именует publisher в пределах хоста. Это становится path-компонентом Unix socket'а (`/run/cuframes/mykey.sock`) и POSIX SHM-сегмента (`/dev/shm/cuframes-mykey`). Два publisher'а не могут шарить один key — второй получит `CUFRAMES_ERR_ALREADY_EXISTS`. + +**`cfg.format = CUFRAMES_FORMAT_NV12`** плюс `width`/`height` — геометрия frame'а фиксирована на всю жизнь publisher'а. Subscriber'ы увидят ровно эти размеры. + +**`cfg.ownership = CUFRAMES_OWNERSHIP_LIBRARY`** — library сама аллоцирует CUDA ring buffer. Альтернатива, `CUFRAMES_OWNERSHIP_EXTERNAL`, позволяет передать уже аллоцированные device pointer'ы (обычно из FFmpeg-пула `AVHWFramesContext`). Подробнее — [Концепции → Ownership modes](/docs/concepts/ownership-modes). + +**`cfg.ring_size = 4`** — количество frame-слотов. 2 — минимум, 4 — разумный default, 16 — потолок. С policy `DROP_OLDEST` медленный consumer просто пропускает frame'ы; publisher никогда не блокируется. + +**`cuframes_publisher_acquire(pub, &ptr)`** — возвращает CUDA device pointer на следующий writable slot. Действителен только до соответствующего вызова `publish()`. + +**`cudaMemsetAsync(ptr, ..., stream)`** — заполняем frame на CUDA stream'е по вашему выбору. **Не нужно** синхронизировать этот stream перед publish. Library внутри `publish()` сделает `cudaEventRecord` на тот же stream, а каждый subscriber вызовет `cudaStreamWaitEvent` на своём stream'е перед чтением. Это и есть cross-process контракт синхронизации — см. [Концепции → Cross-process sync](/docs/concepts/cross-process-sync). + +**`cuframes_publisher_publish(pub, stream, pts_ns)`** — делает slot видимым subscriber'ам. `pts_ns` непрозрачен для library; рекомендуемый источник — `cuframes_now_ns()` (CLOCK_MONOTONIC в наносекундах). + +**Cleanup** — `cuframes_publisher_destroy()` закрывает socket, unlink'ает SHM-сегмент и освобождает CUDA-пул. + +## Компиляция + +```bash +gcc -O2 -I/usr/local/include -I/usr/local/cuda/include \ + -o first_publisher first_publisher.c \ + -L/usr/local/lib -lcuframes \ + -L/usr/local/cuda/lib64 -lcudart -lcuda +``` + +Если cuframes собран без `cmake --install`, направь `-I` и `-L` на своё `build/`-дерево (`-I./include -L./build/libcuframes`). + +## Запуск + +```bash +./first_publisher mykey +``` + +Пока процесс работает, ему принадлежат: + +- `/run/cuframes/mykey.sock` — handshake / control socket +- `/dev/shm/cuframes-mykey` — shared metadata header (SHM) + +Оба удаляются при чистом shutdown. Если publisher падает, stale-файлы могут остаться; следующий старт пересоздаёт их. + +## Дальше + +Открой второй терминал и подключи [Первый subscriber](./first-subscriber.md), который прочитает эти frame'ы и проверит pattern. Полное описание API — [Reference → C API](/docs/reference/api-c). diff --git a/site/i18n/ru/docusaurus-plugin-content-docs/current/getting-started/first-subscriber.md b/site/i18n/ru/docusaurus-plugin-content-docs/current/getting-started/first-subscriber.md new file mode 100644 index 0000000..4ad8358 --- /dev/null +++ b/site/i18n/ru/docusaurus-plugin-content-docs/current/getting-started/first-subscriber.md @@ -0,0 +1,145 @@ +--- +title: Первый subscriber +sidebar_position: 3 +--- + +# Первый subscriber + +Минимальный subscriber, который подключается к publisher'у из [Первого publisher](./first-publisher.md), читает 10 frame'ов и проверяет, что каждый байт каждого frame'а совпадает с pattern'ом со стороны publisher'а. + +Это упрощённая версия [`spike/smoke_v04/smoke_sub.c`](https://git.goldix.org/gx/cuframes/src/branch/main/spike/smoke_v04/smoke_sub.c). + +## Исходник + +```c +/* first_subscriber.c — connect, read 10 frames, verify pattern. */ +#include +#include +#include +#include + +int main(int argc, char **argv) { + const char *key = argc > 1 ? argv[1] : "mykey"; + + cuframes_subscriber_config_t cfg = {0}; + cfg.key = key; + cfg.consumer_name = "first-sub"; + cfg.mode = CUFRAMES_MODE_NEWEST_ONLY; + cfg.cuda_device = 0; + cfg.connect_timeout_ms = 5000; + + cuframes_subscriber_t *sub = NULL; + int r = cuframes_subscriber_create(&cfg, &sub); + if (r != CUFRAMES_OK) { + fprintf(stderr, "create: %s\n", cuframes_strerror(r)); + return 1; + } + + cudaStream_t stream; + cudaStreamCreate(&stream); + + const size_t sample = 1024; /* check first 1 KiB of each frame */ + uint8_t *host = malloc(sample); + + int frames = 0, good = 0; + while (frames < 10) { + cuframes_frame_t *f = NULL; + r = cuframes_subscriber_next(sub, stream, &f, 2000); + if (r != CUFRAMES_OK) { + fprintf(stderr, "next: %s\n", cuframes_strerror(r)); + break; + } + + cudaMemcpyAsync(host, cuframes_frame_cuda_ptr(f), sample, + cudaMemcpyDeviceToHost, stream); + cudaStreamSynchronize(stream); + + int mismatch = 0; + for (size_t i = 1; i < sample; i++) + if (host[i] != host[0]) mismatch++; + if (mismatch == 0) good++; + + printf("seq=%lu pts_ns=%lld pitch_y=%d byte0=0x%02x mismatch=%d\n", + (unsigned long)cuframes_frame_seq(f), + (long long)cuframes_frame_pts_ns(f), + cuframes_frame_pitch_y(f), + host[0], mismatch); + + cuframes_subscriber_release(sub, f); + frames++; + } + + free(host); + cudaStreamDestroy(stream); + cuframes_subscriber_destroy(sub); + return (good == frames && frames > 0) ? 0 : 1; +} +``` + +## Разбор + +**`cfg.key`** — должен точно совпадать с key publisher'а. Subscriber находит publisher'а через `connect()` на `/run/cuframes/.sock`. + +**`cfg.consumer_name = "first-sub"`** — идентифицирует subscriber'а в ACK-bitmap publisher'а. Должен быть уникален среди живых subscriber'ов одного publisher'а; коллизия возвращает `CUFRAMES_ERR_ALREADY_EXISTS`. Если передать `NULL`, library сгенерирует `subscriber--`. Publisher принимает до 32 одновременных subscriber'ов. + +**`cfg.mode = CUFRAMES_MODE_NEWEST_ONLY`** — subscriber всегда прыгает к самому свежему опубликованному frame'у и пропускает все frame'ы, которые publisher успел произвести пока обрабатывался предыдущий вызов `next()`. Используй `CUFRAMES_MODE_STRICT_ORDER`, если обязательно нужно видеть каждый frame по seq; в этом режиме ring overflow всплывает как `CUFRAMES_ERR_DISCONNECTED`. + +**`cfg.connect_timeout_ms = 5000`** — сколько `create()` ждёт появления publisher'а. `0` — fail immediately с `CUFRAMES_ERR_NOT_FOUND`, `-1` — ждать вечно. + +**`cfg.cuda_device`** — должен совпадать с `cuda_device` publisher'а. CUDA IPC handle'ы не переносимы между девайсами. + +**`cuframes_subscriber_next(sub, stream, &f, 2000)`** — блокируется до 2 секунд ради следующего frame'а. Library внутри вызывает `cudaStreamWaitEvent` на твоём `stream`'е против publisher'овского record-event, поэтому любой kernel, запущенный на `stream`'е после возврата `next()`, гарантированно увидит writes producer'а. Если читаешь через `cudaMemcpyDeviceToHost`, ставь его в очередь на тот же stream — это и делает cross-process sync рабочим. + +**Frame-accessor'ы** — `cuframes_frame_cuda_ptr()` (device pointer, read-only), `cuframes_frame_format()`, `cuframes_frame_pitch_y()` / `_pitch_uv()`, `cuframes_frame_seq()` (монотонный per publisher), `cuframes_frame_pts_ns()` (CLOCK_MONOTONIC со стороны publisher'а). После `release()` handle становится недействительным — не вызывай на нём accessor'ы. + +**`cuframes_subscriber_release(sub, f)`** — отдаёт ACK на slot publisher'у. Publisher'у это нужно только при `CUFRAMES_POLICY_STRICT_WAIT`; при дефолтном `DROP_OLDEST` всё равно обязательно вызывать, чтобы освободить handle на стороне consumer'а. NULL — no-op. + +## Компиляция + +```bash +gcc -O2 -I/usr/local/include -I/usr/local/cuda/include \ + -o first_subscriber first_subscriber.c \ + -L/usr/local/lib -lcuframes \ + -L/usr/local/cuda/lib64 -lcudart -lcuda +``` + +## Запуск + +В одном терминале запусти publisher с предыдущей страницы: + +```bash +./first_publisher mykey +``` + +В другом терминале: + +```bash +./first_subscriber mykey +``` + +Ожидаемый вывод — 10 строк с растущим `seq` и `mismatch=0`. + +## Замечание про Docker + +Subscriber должен шарить **IPC namespace** publisher'а (чтобы `shm_open` смог открыть тот же header `/dev/shm/cuframes-mykey`). PID namespace шарить **не нужно** — это изменение v0.4. Старое требование v0.1 / v0.2 `--pid=container:` ушло, потому что handle'ы ездят как POSIX file descriptors через Unix socket (`SCM_RIGHTS`), а не как CUDA IPC mem-handle'ы. + +```bash +docker run --rm --runtime=nvidia \ + --ipc=container:cuframes-pub \ + -v /run/cuframes:/run/cuframes:ro \ + gx/cuframes:0.4 ./first_subscriber mykey +``` + +## Обработка disconnect + +Если publisher завершился или упал во время твоего loop'а, следующий `cuframes_subscriber_next()` вернёт `CUFRAMES_ERR_DISCONNECTED`. Handle после этого мёртв — уничтожь его и (опционально) переподключись: + +```c +if (r == CUFRAMES_ERR_DISCONNECTED) { + cuframes_subscriber_destroy(sub); + sub = NULL; + /* sleep + retry cuframes_subscriber_create(&cfg, &sub) */ +} +``` + +Паттерн reconnect, включая back-off и нюансы переиспользования `consumer_name`, разобран в [Концепции → Reconnect](/docs/concepts/reconnect). diff --git a/site/i18n/ru/docusaurus-plugin-content-docs/current/getting-started/install.md b/site/i18n/ru/docusaurus-plugin-content-docs/current/getting-started/install.md new file mode 100644 index 0000000..64a4996 --- /dev/null +++ b/site/i18n/ru/docusaurus-plugin-content-docs/current/getting-started/install.md @@ -0,0 +1,110 @@ +--- +title: Установка +sidebar_position: 1 +--- + +# Установка + +cuframes работает **только на Linux**. IPC-механизм опирается на POSIX shared memory и передачу file descriptors через `SCM_RIGHTS` поверх Unix sockets. Windows, macOS и WSL2 не поддерживаются. + +Также нужен NVIDIA GPU с compute capability ≥ 7.5 (Turing или новее) и CUDA 12+ driver. Полная матрица — в [Концепции → Требования](/docs/concepts/requirements). + +## Вариант 1 — готовый Docker-образ (рекомендуется для первого знакомства) + +Runtime-образ поставляет `libcuframes.so` и bridge-утилиту `cuframes-rtsp-source` поверх `nvidia/cuda:12.4.1-runtime`. + +```bash +docker pull gx/cuframes:0.4 +``` + +Smoke-check: + +```bash +docker run --rm --runtime=nvidia gx/cuframes:0.4 \ + /usr/local/bin/cuframes-rtsp-source --help +``` + +Чтобы запустить publisher и subscriber в двух контейнерах, контейнер **publisher** должен стартовать с `--ipc=shareable`, а **subscriber** — шарить его IPC namespace через `--ipc=container:`. Шарить PID namespace **не нужно** начиная с v0.4 — handle'ы передаются как POSIX file descriptors через Unix socket. + +```bash +# Publisher +docker run -d --name cuframes-pub --runtime=nvidia --ipc=shareable \ + -v /run/cuframes:/run/cuframes \ + gx/cuframes:0.4 \ + /usr/local/bin/cuframes-rtsp-source --rtsp 'rtsp://...' --key cam1 + +# Subscriber +docker run --rm --runtime=nvidia \ + --ipc=container:cuframes-pub \ + -v /run/cuframes:/run/cuframes:ro \ + gx/cuframes:0.4 \ + /usr/local/bin/sub_count --key cam1 --max-frames 100 +``` + +Подробнее о правилах namespace — [Концепции → Docker IPC](/docs/concepts/docker-ipc). + +## Вариант 2 — сборка из исходников + +### Требования к сборке + +| | Минимум | +|---|---| +| CUDA Toolkit | 12.0 | +| NVIDIA driver | 525 | +| CMake | 3.20 | +| GCC / Clang | 11 / 14 | +| FFmpeg dev libs | libavcodec, libavformat, libavutil (только для `cuframes-rtsp-source`) | + +На Ubuntu 22.04 / 24.04: + +```bash +sudo apt-get install -y \ + build-essential cmake ninja-build pkg-config \ + libavcodec-dev libavformat-dev libavutil-dev +``` + +### Конфигурация и сборка + +```bash +git clone https://git.goldix.org/gx/cuframes.git +cd cuframes +cmake -B build -S . -G Ninja -DCMAKE_BUILD_TYPE=Release +cmake --build build --parallel +``` + +На выходе: + +- `build/libcuframes/libcuframes.so` — shared library +- `build/tools/cuframes-rtsp-source/cuframes-rtsp-source` — RTSP-bridge +- `build/examples/sub_count/sub_count` — референсный subscriber + +### Установка system-wide + +```bash +sudo cmake --install build --prefix /usr/local +sudo ldconfig +``` + +Заголовки кладутся в `/usr/local/include/cuframes/`, library — в `/usr/local/lib/`. + +### Опции сборки + +| Опция | По умолчанию | Примечания | +|---|---|---| +| `BUILD_TOOLS` | `ON` | `cuframes-rtsp-source` (нужны FFmpeg dev libs) | +| `BUILD_EXAMPLES` | `ON` | референсный subscriber `sub_count` | +| `BUILD_TESTING` | `ON` | unit- и stress-тесты | +| `BUILD_FFMPEG_FILTER` | `OFF` | out-of-tree, требует пропатченное FFmpeg-дерево | +| `BUILD_PYTHON_BINDINGS` | `OFF` | в планах | + +## Вариант 3 — apt / dpkg пакеты + +Появятся к релизу v1.0. До этого — Docker-образ или сборка из исходников. + +## Проверить установку + +```bash +cuframes-rtsp-source --help +``` + +Если бинарь лежит в `PATH` и печатает свой usage-баннер, runtime подключён. Чтобы убедиться, что сама library загружается из твоего кода, переходи к [Первому publisher](./first-publisher.md). diff --git a/site/i18n/ru/docusaurus-plugin-content-docs/current/integration/_category_.json b/site/i18n/ru/docusaurus-plugin-content-docs/current/integration/_category_.json new file mode 100644 index 0000000..a076be3 --- /dev/null +++ b/site/i18n/ru/docusaurus-plugin-content-docs/current/integration/_category_.json @@ -0,0 +1,7 @@ +{ + "label": "Интеграция", + "position": 4, + "collapsible": true, + "collapsed": false, + "link": null +} diff --git a/site/i18n/ru/docusaurus-plugin-content-docs/current/integration/ffmpeg-demuxer.md b/site/i18n/ru/docusaurus-plugin-content-docs/current/integration/ffmpeg-demuxer.md new file mode 100644 index 0000000..9b6624b --- /dev/null +++ b/site/i18n/ru/docusaurus-plugin-content-docs/current/integration/ffmpeg-demuxer.md @@ -0,0 +1,125 @@ +--- +title: FFmpeg cuframes:// demuxer +sidebar_position: 1 +--- + +# FFmpeg `cuframes://` demuxer + +cuframes поставляет два FFmpeg input demuxer'а, оба — патчем поверх upstream FFmpeg: + +- **`cuframes`** — подписывается на decoded NV12 frame ring и отдаёт его как `rawvideo` stream (один stream на URL). +- **`cuframes_packets`** — подписывается на encoded packet ring и отдаёт его как `h264` / `hevc` byte-stream, с `extradata` из publisher'ского handshake. + +Оба demuxer'а — чистые consumer'ы. Они никогда не декодируют, никогда не re-encode'ят, и никогда не лезут в сеть — реальный pull RTSP происходит один раз в publisher'е (обычно [`cuframes-rtsp-source`](/docs/getting-started/install)). FFmpeg просто цепляется к уже существующему ring'у через Unix socket. + +## URL-схема + +```text +cuframes:// # decoded NV12 frames (raw GPU surfaces) +cuframes_packets:// # encoded H264/HEVC packets (Annex-B) +``` + +`` — это key publisher'а, та же строка что передаётся в `cuframes_publisher_create()` или в `--key` для `cuframes-rtsp-source`. Legacy-форма `cuframes:` (без `//`) тоже принимается. + +Два типа ring'ов независимы. Один publisher может экспонировать оба: decoded frame'ы для composer'ов / AI, encoded packets для recorder'ов которые хотят пропустить re-encode. + +## Что делает demuxer + +При open demuxer: + +1. Подключается к `/run/cuframes/.sock`. +2. Получает N POSIX file descriptors через `SCM_RIGHTS` (frame-слоты) плюс shm metadata header. +3. Для `cuframes`: импортирует каждый FD как CUDA VMM allocation, объявляет один `AV_PIX_FMT_NV12` stream на publisher'ском width / height / framerate. +4. Для `cuframes_packets`: читает `extradata` (SPS/PPS для H264, VPS/SPS/PPS для HEVC) из handshake и объявляет один `AV_CODEC_ID_H264` или `AV_CODEC_ID_HEVC` stream. + +В read-loop demuxer poll'ит publisher'ский `global_seq`, копирует frame / packet в pipeline и проставляет `pts` по publisher'ским часам. Wire format — [Protocol reference](/docs/reference/protocol). + +## Примеры pipeline'ов + +### Один источник — decoded ring → NVENC → MPEG-TS + +Re-encode опубликованной камеры в H.264 MPEG-TS UDP stream. NVDEC в этом ffmpeg не запускается — publisher уже один раз декодировал, этот процесс просто NVENC'ит shared NV12 surface. + +```bash +ffmpeg -hwaccel cuda -hwaccel_output_format cuda \ + -f cuframes -i cuframes://cam-parking \ + -c:v h264_nvenc -preset p4 -b:v 4M \ + -f mpegts udp://192.168.88.50:5000 +``` + +### Packet ring — true copy, без decode и без encode + +Когда нужно только записать или restream'ить существующую камеру и decoded пиксели не интересны — подписывайся на **packet** ring через `-c:v copy`. NVDEC и NVENC оба простаивают. + +```bash +ffmpeg -f cuframes_packets -i cuframes_packets://cam-parking \ + -c:v copy -f mp4 /var/recordings/cam-parking.mp4 +``` + +Это самый дешёвый способ размножить один decode на N recorder'ов. + +### Композиция — 4 входа в CUDA-grid + +Короткий пример multi-input wiring. Полный справочник по фильтру — [FFmpeg `vf_cuda_grid` filter](/docs/integration/ffmpeg-filter). + +```bash +ffmpeg \ + -hwaccel cuda -hwaccel_output_format cuda \ + -f cuframes -i cuframes://cam1 \ + -f cuframes -i cuframes://cam2 \ + -f cuframes -i cuframes://cam3 \ + -f cuframes -i cuframes://cam4 \ + -filter_complex "[0:v][1:v][2:v][3:v]cuda_grid=layout=quad[out]" \ + -map "[out]" -c:v h264_nvenc -preset p4 \ + -f rtsp rtsp://127.0.0.1:8554/grid +``` + +## Сборка / запуск с пропатченным FFmpeg + +Demuxer'ы живут в `libavformat/cuframesdec.c` и `libavformat/cuframes_packetsdec.c` и в upstream FFmpeg их нет. Есть два варианта. + +### Вариант A — готовый Docker-образ + +Production-tested образ опубликован как `ffmpeg-vf-cuda-grid:phase8`. Внутри — пропатченный ffmpeg binary, `libcuframes.so` и фильтр `vf_cuda_grid`. Референсный `docker compose`-setup, который связывает его с publisher-контейнером, лежит в репо `localhost-infra` — копируй и адаптируй, не пинни как публичную зависимость. + +```bash +docker run --rm --runtime=nvidia \ + --ipc=container:cuframes-publisher \ + ffmpeg-vf-cuda-grid:phase8 \ + ffmpeg -f cuframes -i cuframes://cam1 -c:v copy -f null - +``` + +Флаг `--ipc=container:...` подключает IPC namespace publisher'а, чтобы POSIX shm header был виден. Шарить PID namespace **не требуется** начиная с cuframes v0.4. + +### Вариант B — собрать самому + +Используй toolchain `ffmpeg-builds` (fork `BtbN/FFmpeg-Builds`). Скрипт `scripts.d/50-libcuframes.sh` клонирует cuframes, собирает его статически, и `--enable-libcuframes` автоматически добавляется когда активен addin `cuframes`. + +```bash +git clone ffmpeg-builds +cd ffmpeg-builds +ADDITIONAL_SCRIPTS=50-libcuframes.sh ./build.sh +``` + +Пропатченное дерево исходников ffmpeg (с обоими demuxer'ами и фильтром) лежит в `ffmpeg-fresh/`. Если хочешь вендорить патч в свой fork FFmpeg, скопируй три файла (`libavformat/cuframesdec.c`, `libavformat/cuframes_packetsdec.c`, `libavfilter/vf_cuda_grid.c`) плюс соответствующие `Makefile` и регистрации в `allformats.c` / `allfilters.c`. + +## Поведение при reconnect + +Publisher'ы приходят и уходят — рестарты контейнеров, reboot RTSP-камер, обновление `cuframes-rtsp-source` на host'е. Demuxer спроектирован **переживать рестарт publisher'а без обрушивания FFmpeg pipeline'а**. + +Когда subscriber видит `CUFRAMES_ERR_DISCONNECTED`: + +- Demuxer **не** возвращает `AVERROR_EOF`. +- Освобождает мёртвый subscriber и пробует `cuframes_subscriber_create()` снова, с rate-limit'ом **одна попытка в 2 секунды**. +- Пока идёт reconnect, `av_read_frame()` возвращает `AVERROR(EAGAIN)`. Pipeline блокируется, но остаётся живым. +- При успехе demuxer пишет в лог `cuframes: reconnected to ''` на уровне `INFO` и возобновляет доставку frame'ов. + +Это важно для long-running consumer'ов (NVR recorder'ов, RTSP-restreamer'ов, NVENC-composer'ов), которым иначе нужен был бы внешний supervisor чтобы рестартовать ffmpeg на каждый publisher-икни. + +Если на disconnect реально нужен EOF — например, one-shot transcode который должен остановиться когда источник умер — обёртывай demuxer через `-timeout` или собственный watchdog. Built-in поведение — «ждать вечно», не «fail fast». + +## См. также + +- [Первый publisher](/docs/getting-started/first-publisher) — минимальный C-producer. +- [Protocol reference](/docs/reference/protocol) — wire format и handshake. +- [Фильтр `vf_cuda_grid`](/docs/integration/ffmpeg-filter) — multi-camera композиция. diff --git a/site/i18n/ru/docusaurus-plugin-content-docs/current/integration/ffmpeg-filter.md b/site/i18n/ru/docusaurus-plugin-content-docs/current/integration/ffmpeg-filter.md new file mode 100644 index 0000000..de47b5a --- /dev/null +++ b/site/i18n/ru/docusaurus-plugin-content-docs/current/integration/ffmpeg-filter.md @@ -0,0 +1,103 @@ +--- +title: FFmpeg vf_cuda_grid filter (композиция CCTV-grid) +sidebar_position: 2 +--- + +# FFmpeg `vf_cuda_grid` filter + +`vf_cuda_grid` — CUDA-ускоренный multi-input grid-composer для CCTV-видеостен: N камер на входе, один скомпонованный frame на выходе, всё на GPU. + +:::note Не часть cuframes +`vf_cuda_grid` — **отдельный out-of-tree FFmpeg-фильтр**, который сопровождается как самостоятельный проект ([git.goldix.org/gx/vf-cuda-grid](https://git.goldix.org/gx/vf-cuda-grid)). Так получилось, что он поставляется в том же пропатченном FFmpeg-образе что и cuframes-demuxer'ы, и это канонический consumer, показывающий ради чего cuframes вообще *нужен*. Но он не часть library cuframes и живёт своим release cycle. + +Эта страница — короткий указатель, чтобы integration story читалась end-to-end. Полные опции, layout-шаблоны, ZMQ command protocol и детали рендера overlay'ев — в upstream-проекте. +::: + +## Зачем оно + +Типичный CCTV TV-wall pipeline нуждается в: + +- Декодировать 4–16 камер один раз (это делают cuframes publisher'ы через NVDEC). +- Скомпоновать их в один grid-layout (single / quad / main + previews / …). +- Re-encode'нуть итоговый frame через NVENC и отправить RTSP / SRT на дисплеи. + +Делать это стандартными FFmpeg-фильтрами означает CPU round-trip'ы (`hwdownload` / `hwupload`), которые убивают frame rate на 4K. `vf_cuda_grid` остаётся в CUDA-памяти end-to-end — input surfaces приходят напрямую из cuframes ring'а, размещаются в одном output CUDA frame через `cuMemcpy2DAsync`, и передаются в `h264_nvenc` без выхода из GPU. + +## Быстрый пример — 4 камеры в 2×2 quad + +```bash +ffmpeg \ + -hwaccel cuda -hwaccel_output_format cuda \ + -f cuframes -i cuframes://cam1 \ + -f cuframes -i cuframes://cam2 \ + -f cuframes -i cuframes://cam3 \ + -f cuframes -i cuframes://cam4 \ + -filter_complex "[0:v][1:v][2:v][3:v]cuda_grid=layout=quad[out]" \ + -map "[out]" \ + -c:v h264_nvenc -preset p4 -tune ll -b:v 8M \ + -f rtsp rtsp://127.0.0.1:8554/wall +``` + +Все четыре входа — decoded NV12 surfaces, расшаренные из publisher-процессов. Фильтр CPU-память не видит вообще. Encoder получает CUDA frame. + +## Layout-шаблоны + +Текущие шаблоны фильтра (определены в `libavfilter/vf_cuda_grid.c`): + +- `single` — один вход, full canvas. Полезно для runtime-смены layout'а (стартовать с quad, переключиться на fullscreen одной камеры). +- `dual_h`, `dual_v` — два входа, горизонтальный / вертикальный split. +- `quad` — четыре входа, 2×2. +- `main_plus_preview` — одна большая ячейка плюс ряд из трёх поменьше. + +Выбирается через `layout=`. Размеры output-canvas по умолчанию берутся из разрешения первого входа и настраиваются через опции фильтра. + +## Runtime-управление через ZMQ + +Фильтр экспонирует две команды через FFmpeg'овский механизм `process_command` (его прокидывает фильтр `zmq`): + +- `set_layout ` — поменять активный layout-шаблон без рестарта pipeline'а. Ограничено `max_cells` (compile-time максимум, чтобы input-pad'ы не нужно было перерегистрировать). +- `add_overlay ` — нарисовать цветной прямоугольник / текст / image overlay внутри конкретной ячейки (например, красная рамка на камере с движением, timestamp на ячейке 0). + +Формат аргументов и полная семантика overlay'ев — в документации upstream-проекта. + +:::tip Quoting ZMQ-аргументов +Когда передаёшь ZMQ-команды из shell'а, команда + args **должны** быть одним quoted-аргументом — иначе FFmpeg'овский ZMQ-фильтр распарсит только команду и молча отбросит остальное. Об этот грабли наступило достаточно людей, чтобы упомянуть здесь: + +```bash +# правильно +echo "Parsed_cuda_grid_0 set_layout main_plus_preview" | zmqsend + +# неправильно — args молча отбрасываются +echo Parsed_cuda_grid_0 set_layout main_plus_preview | zmqsend +``` +::: + +## Production pipeline + +Реальный CCTV-wall pipeline (несколько publisher'ов, фильтр, NVENC, RTSP-сервер плюс ZMQ-контроллер для смены layout'а) связан в репо `localhost-infra` как `docker-compose.phase7.yml` (или что там сейчас актуально — смотри в репо). Это самый свежий референс, какие флаги реально работают вместе и какие image-теги пиннить. + +**Не копируй compose-сниппет с этой страницы** — пока ты это читаешь, image-теги уже разъедутся. Открой живой файл в `localhost-infra` и адаптируй оттуда. + +Общая форма: + +```text +[ cuframes-rtsp-source × N ] (publisher'ы, по одному на камеру) + │ + │ cuframes://camN (decoded NV12, расшарено через SCM_RIGHTS) + ▼ +[ ffmpeg + vf_cuda_grid ] (composer, GPU-side) + │ + │ H264 NVENC + ▼ +[ mediamtx ] (RTSP / WebRTC fan-out) + │ + ▼ +[ TV / browser ] +``` + +Отдельный небольшой controller-процесс говорит с composer'ом через ZMQ и переключает layout'ы по действиям пользователя. + +## См. также + +- [Demuxer `cuframes://`](/docs/integration/ffmpeg-demuxer) — как входы попадают в FFmpeg. +- Upstream-проект фильтра — [git.goldix.org/gx/vf-cuda-grid](https://git.goldix.org/gx/vf-cuda-grid) — полный справочник, инструкции по сборке, ZMQ-протокол, типы overlay'ев. diff --git a/site/i18n/ru/docusaurus-plugin-content-docs/current/integration/python.md b/site/i18n/ru/docusaurus-plugin-content-docs/current/integration/python.md new file mode 100644 index 0000000..c3275bb --- /dev/null +++ b/site/i18n/ru/docusaurus-plugin-content-docs/current/integration/python.md @@ -0,0 +1,47 @@ +--- +title: Python bindings +sidebar_position: 3 +--- + +# Python bindings + +**Статус: запланировано на v0.5+. Ещё не поставляется.** + +Эта страница — placeholder, чтобы integration story честно говорила, что есть, а чего нет. Если Python-доступ к cuframes нужен сегодня, читай [Workaround для v0.4](#workaround-для-v04) ниже. + +## Что появится в v0.5+ + +Небольшой Python-пакет `cuframes`, распространяемый как wheel, который даёт: + +- **`ctypes`-bindings** поверх существующего C API (`cuframes_publisher_create`, `cuframes_subscriber_create`, `cuframes_acquire`, `cuframes_release` и т. д.). Никакого нового ABI, ни SWIG, ни C++-обёртки. +- **Zero-copy доступ к NumPy / PyTorch** к decoded NV12 surface через [CUDA Array Interface](https://numba.readthedocs.io/en/stable/cuda/cuda_array_interface.html). Subscribed frame экспонируется как CuPy / PyTorch tensor, указывающий на ту же GPU-память что писал publisher — никакого `cudaMemcpy` на host и никакой копии на девайсе. +- **Context-manager API** для acquire / release, чтобы frame-слоты не текли при исключениях. + +Целевые use case'ы: + +- **PyTorch inference на shared frames** — детектор / классификатор подписывается на `cuframes://camN`, получает tensor, запускает `model(tensor)` напрямую. Сегодня это требует либо re-decode RTSP-stream'а, либо копирования frame'ов через Unix pipe. +- **OpenCV CUDA processing** — `cv2.cuda_GpuMat` строится из cuframes-pointer'а, после чего любая cv2.cuda-операция (resize, color convert, optical flow) выполняется in place. +- **Быстрое прототипирование** — Jupyter-ноутбук, который подписывается на живую камеру, вырезает region of interest и визуализирует его без поднятия полного FFmpeg pipeline'а. + +CPU-side NumPy fallback добавлять не планируется. Frame'ы — это GPU surfaces; если нужны на CPU — делай явный `tensor.cpu()` и принимай копирование. + +## Workaround для v0.4 + +Пока bindings'ов нет, поддерживаемый путь — звать `libcuframes.so` напрямую из Python через `ctypes` или `cffi`. C API маленький (≈ 10 функций) и стабилен внутри v0.x релиза. + +Реалистично говоря, большинство v0.4-deployment'ов не зовут cuframes из Python вообще. Они используют существующий C / FFmpeg-путь: + +- Для inference: подписаться на **packet** ring через `ffmpeg -f cuframes_packets -i cuframes_packets://camN` и пайпить decoded frame'ы в твой Python-процесс. Zero-copy теряется, но pipeline сегодня рабочий. +- Для прототипирования: брать C-примеры в [`examples/`](https://git.goldix.org/gx/cuframes) как стартовую точку. + +Если zero-copy путь на Python нужен *прямо сейчас*, придётся писать `ctypes`-обёртки самому. Зеркаль прототипы из [`include/cuframes/cuframes.h`](/docs/reference/protocol), держи handle'ы opaque (`void *`), используй `cuMemAlloc` / CuPy `UnownedMemory` чтобы view'ить импортированную VMM-allocation. Жди шероховатостей — bindings v0.5 существуют именно потому, что руками это удовольствие сомнительное. + +## Отслеживать прогресс + +Roadmap и заметки по milestone Python-пакета лежат в [`ROADMAP.md`](https://git.goldix.org/gx/cuframes) в репо cuframes. v0.5 также гейтится HEVC packet-ring путём и небольшим ABI cleanup'ом, поэтому bindings — не единственное на этом релизе. + +## См. также + +- [Установка](/docs/getting-started/install) — поставить `libcuframes.so` в систему, чтобы bindings'ам было что грузить. +- [Protocol reference](/docs/reference/protocol) — поверхность C API, которую bindings зеркалят. +- [FFmpeg `cuframes://` demuxer](/docs/integration/ffmpeg-demuxer) — сегодняшний практичный путь чтобы данные cuframes попали в любой не-C consumer. diff --git a/site/i18n/ru/docusaurus-plugin-content-docs/current/intro.mdx b/site/i18n/ru/docusaurus-plugin-content-docs/current/intro.mdx new file mode 100644 index 0000000..fe4b67e --- /dev/null +++ b/site/i18n/ru/docusaurus-plugin-content-docs/current/intro.mdx @@ -0,0 +1,59 @@ +--- +title: Что такое cuframes +sidebar_position: 1 +slug: /intro +--- + +# cuframes + +**Zero-copy передача decoded видеокадров через CUDA, шарится между процессами — без shared pid namespace.** + +Чистый C library (LGPL-2.1+) для передачи decoded NV12 frames между Linux-процессами через CUDA VMM + POSIX file descriptors. Никаких re-encode, ни CPU-side memcpy, ни Unix-pipe сериализации — consumer получает указатель на ту же GPU-память что и producer. + +```mermaid +flowchart LR + RTSP[RTSP camera] --> Pub[Publisher
NVDEC → VMM pool] + Pub -- POSIX FD via SCM_RIGHTS --> Sub1[Subscriber 1
FFmpeg detect] + Pub -- POSIX FD via SCM_RIGHTS --> Sub2[Subscriber 2
FFmpeg compose] + Pub -- POSIX FD via SCM_RIGHTS --> Sub3[Subscriber 3
AI inference] +``` + +## Статус + +**v0.4 — ранняя стадия, но проверено в продакшене.** Одно реальное развёртывание в CCTV-системе (4 IP-камеры, NVENC re-encode chain, 25 fps). Не enterprise-ready: один maintainer, нет платной поддержки, ABI ломался 4 раза за месяц разработки. + +Подходит если ты строишь свой video pipeline и понимаешь риски OSS-библиотеки на ранней стадии. Не подходит как drop-in замена DeepStream / GStreamer для enterprise-сценариев. + +## Зачем + +Типичный кейс — один декодер RTSP-камеры, несколько consumer'ов (NVR-запись, AI-детектор, live-композитор для TV). Без cuframes: + +- **Наивный путь:** каждый consumer открывает свой RTSP-stream → N×NVDEC + N×NIC. Если камер 10, потребителей 3 — это 30 параллельных декодов. +- **DeepStream:** работает, но vendor lock-in, тяжёлый runtime, лицензионные ограничения. +- **CUDA IPC handles напрямую:** требуют shared PID namespace между процессами. Frigate, Docker-стек на k8s — это часто несовместимо. + +cuframes решает третью проблему: один decoder publish'ит, любое число consumer'ов subscribe'ятся через unix socket, FD'ы передаются через `SCM_RIGHTS`, никакого pid sharing не нужно. + +## Что cuframes не делает + +- **Encoded video.** Frame ring — это decoded NV12. Для encoded H.264/H.265 packet stream есть отдельный packet ring (Annex-B byte stream через POSIX shm). +- **Cross-host.** Только same-machine — POSIX FD не передаётся через сеть. +- **Cross-vendor.** Только NVIDIA — `cuMemCreate` это CUDA API. AMD HIP / Intel oneAPI пока не поддерживаются. +- **Windows.** Только Linux (POSIX shm + Unix sockets + SCM_RIGHTS). +- **HA / failover.** Один producer per key — если падает, consumers видят `CUFRAMES_ERR_DISCONNECTED` и сами решают что делать. + +## Архитектура за 30 секунд + +- **Producer** (`cuframes_publisher_create`) — аллоцирует N×frame VMM pool (`cuMemCreate(POSIX_FILE_DESCRIPTOR)`), открывает Unix socket `/run/cuframes/.sock`, открывает POSIX shm `/dev/shm/cuframes-` для metadata header. +- **Subscriber** (`cuframes_subscriber_create`) — подключается к socket, в handshake получает N file descriptors через `SCM_RIGHTS`, импортирует их через `cuMemImportFromShareableHandle`, mmap'ит shm header. +- **Publish loop:** producer `acquire()` → memcpy в slot → `publish(stream, pts)` который делает `cuStreamSynchronize` + atomic update `slot.seq` + `global_seq`. +- **Consume loop:** subscriber poll'ит atomic `global_seq`, читает frame через DtoD copy в свой stream. +- **Sync:** `cuStreamSynchronize` у producer'а перед publish гарантирует hardware coherence — consumer читает данные через atomic load без CUDA events (modern simplification от `v0.4`). + +Полная спецификация — [Protocol reference](/docs/reference/protocol). + +## Дальше + +- [Установка](/docs/getting-started/install) — apt / docker / from source. +- [Первый publisher](/docs/getting-started/first-publisher) — пример на C в 30 строк. +- [Интеграция с FFmpeg demuxer](/docs/integration/ffmpeg-demuxer) — URL-схема `cuframes://key`. diff --git a/site/i18n/ru/docusaurus-plugin-content-docs/current/reference/_category_.json b/site/i18n/ru/docusaurus-plugin-content-docs/current/reference/_category_.json new file mode 100644 index 0000000..99dd5ac --- /dev/null +++ b/site/i18n/ru/docusaurus-plugin-content-docs/current/reference/_category_.json @@ -0,0 +1,7 @@ +{ + "label": "Reference", + "position": 5, + "collapsible": true, + "collapsed": true, + "link": null +} diff --git a/site/package-lock.json 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"scripts": { + "docusaurus": "docusaurus", + "start": "docusaurus start", + "build": "docusaurus build", + "swizzle": "docusaurus swizzle", + "deploy": "docusaurus deploy", + "clear": "docusaurus clear", + "serve": "docusaurus serve", + "write-translations": "docusaurus write-translations", + "write-heading-ids": "docusaurus write-heading-ids", + "typecheck": "tsc" + }, + "dependencies": { + "@docusaurus/core": "^3.10.1", + "@docusaurus/faster": "^3.10.1", + "@docusaurus/preset-classic": "^3.10.1", + "@docusaurus/theme-mermaid": "^3.10.1", + "@easyops-cn/docusaurus-search-local": "^0.55.1", + "@mdx-js/react": "^3.0.0", + "clsx": "^2.0.0", + "prism-react-renderer": "^2.3.0", + "react": "^19.0.0", + "react-dom": "^19.0.0" + }, + "devDependencies": { + "@docusaurus/module-type-aliases": "^3.10.1", + "@docusaurus/tsconfig": "^3.10.1", + "@docusaurus/types": "^3.10.1", + "@types/react": "^19.0.0", + "typescript": "~6.0.2" + }, + "browserslist": { + "production": [ + ">0.5%", + "not dead", + "not op_mini all" + ], + "development": [ + "last 3 chrome version", + "last 3 firefox version", + "last 5 safari version" + ] + }, + "engines": { + "node": ">=20.0" + } +} diff --git a/site/sidebars.ts b/site/sidebars.ts new file mode 100644 index 0000000..6565835 --- /dev/null +++ b/site/sidebars.ts @@ -0,0 +1,16 @@ +import type { SidebarsConfig } from '@docusaurus/plugin-content-docs'; + +// The sidebar is auto-generated from the `docs/` directory structure. +// Order of categories and pages is controlled by: +// - `sidebar_position` in the page frontmatter; +// - `_category_.json` in the folder (label, position, collapsed, collapsible). +const sidebars: SidebarsConfig = { + mainSidebar: [ + { + type: 'autogenerated', + dirName: '.', + }, + ], +}; + +export default sidebars; diff --git a/site/src/css/custom.css b/site/src/css/custom.css new file mode 100644 index 0000000..bc8c9eb --- /dev/null +++ b/site/src/css/custom.css @@ -0,0 +1,30 @@ +/** + * Global styles and overrides for Infima theme variables. + * The dagstack brand palette is built around the gradient logo + * `#4A49DB → #3E38C9` (see site/static/img/logo.svg). + */ + +:root { + /* Primary — indigo from the top of the gradient logo. */ + --ifm-color-primary: #4A49DB; + --ifm-color-primary-dark: #3E38C9; + --ifm-color-primary-darker: #3530B5; + --ifm-color-primary-darkest: #282495; + --ifm-color-primary-light: #6261E1; + --ifm-color-primary-lighter: #7574E5; + --ifm-color-primary-lightest: #9696EB; + --ifm-code-font-size: 95%; + --docusaurus-highlighted-code-line-bg: rgba(74, 73, 219, 0.08); +} + +/* For the dark theme — lighter shades for readability on a dark background. */ +[data-theme='dark'] { + --ifm-color-primary: #8988E9; + --ifm-color-primary-dark: #7574E5; + --ifm-color-primary-darker: #6261E1; + --ifm-color-primary-darkest: #4A49DB; + --ifm-color-primary-light: #9E9DEE; + --ifm-color-primary-lighter: #BFBEF4; + --ifm-color-primary-lightest: #D6D5F8; + --docusaurus-highlighted-code-line-bg: 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file mode 100644 index 0000000..405d777 --- /dev/null +++ b/site/tsconfig.json @@ -0,0 +1,12 @@ +// This file is not used by "docusaurus start/build" commands. +// It is here to improve your IDE experience (type-checking, autocompletion...), +// and can also run the package.json "typecheck" script manually. +{ + "extends": "@docusaurus/tsconfig", + "compilerOptions": { + "baseUrl": ".", + "ignoreDeprecations": "6.0", + "strict": true + }, + "exclude": [".docusaurus", "build"] +}