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Codename: Frank Rosenblatt — Mark I Perceptron 1958, the first
hardware neural network. This project lights up the RK3588 NPU on
mainline Linux so the OSS world finally owns the silicon-side of
inference on that chip.
Phase-1 scope: small LLM running CPU + NPU mix on boltzmann (Rock 5
ITX+). Backend: llama.cpp with a new rknpu ggml backend offloading
INT8 GEMM (attention + FFN matmuls) to the NPU's tile-MAC array while
leaving dequant / RoPE / softmax / sampling / embedding on A76 NEON.
Target model: qwen2.5-1.5B-instruct Q4_K_M GGUF.
Scaffold layout: README.md (frame + 9+1-phase plan), TODO.md (rolling
punch-list), docs/{npu-mainline-status,architecture}.md, kernel/ for
DT bindings + driver tweaks, userspace/{npu-probe,llm-runtime}/,
fleet/boltzmann.yaml.
Next: Phase-1 substrate audit — fill the TBDs in docs/npu-mainline-status.md
with the actual state of Tomeu Vizoso's rknpu / DRM-accel work on
the boltzmann-running kernel.
3.0 KiB
3.0 KiB
TODO — Rosenblatt
Rolling punch-list. Older items at bottom (move done → DONE.md when noisy).
Phase 1 — substrate audit
- On boltzmann:
uname -r→ record infleet/boltzmann.yaml:kernel.running_version find / -path '*accel*' -name '*.ko' 2>/dev/null— check if accel framework is builtls /dev/accel/ /dev/dri/— what's exposed?lsmod | grep -iE 'rknpu|accel'— what's loaded?dmesg | grep -iE 'rknpu|npu|accel'since boot — driver bringup log- Tomeu's rknpu series — find on lore.kernel.org/dri-devel, capture latest
patch-set version + state (merged / in-review / dropped) → fill table in
docs/npu-mainline-status.md - Check
drivers/accel/in current torvalds tree — list in-tree accelerators, confirm rknpu's mainline state - Check DT bindings:
Documentation/devicetree/bindings/npu/rockchip,*.yaml - Inspect
arch/arm64/boot/dts/rockchip/rk3588.dtsifornpunode - If a userspace shim exists (rkneural?), capture repo URL + try hello-world against the running kernel
- Spec-extract from BSP vendor
rockchip-npusource — register map, DMA descriptor format, irq handling. No code lift; spec only.
Phase exit criteria: docs/npu-mainline-status.md table fully populated;
clear answer to "do we drive via accel uAPI or write our own MMIO driver."
Phase 2 — formulate
- List llama.cpp ops by wallclock %, profiling qwen-1.5B Q4_K_M on CPU (use llama.cpp's built-in perf-timer or perf record)
- Pick the exact INT8 matmul tile size the NPU prefers (read from BSP source)
- Spec out the smallest backend interface: which ops we MUST handle, which the framework falls back to CPU
- Write
docs/op-coverage.md
Phase 3 — analyze
- RKNPU2 SDK: trace through
librknnrt.souser-API → kernel ioctl shapes (objdump + strings, no actual reverse-engineering of vendor blob — just the syscall surface) - Tomeu's accel uAPI: read driver source, understand:
- submit-job ioctl shape
- dmabuf import path
- fence-wait mechanism
- error reporting
- BSP vendor
rockchip-npusource: register layout, DMA descriptor struct, irq handling sequence
Phase 4 — baseline
- Build vanilla llama.cpp on boltzmann (mainline branch)
- Pull qwen2.5-1.5b-instruct Q4_K_M GGUF
llama-bench -m qwen2.5-1.5b -p 512 -n 128× 3 runs- Capture JSON to
benchmarks/$(date +%F)_boltzmann_qwen1.5b_cpu_baseline.json - Record into
fleet/boltzmann.yaml:baseline_measurement
Cross-phase / standing items
- Mirror Tomeu's WIP branch into a local clone for kernel hacking
- Set up serial console on boltzmann for kernel-panic recovery (Quark umbrella; check current state)
- Add
project_rosenblatt.mdto claude-memory once Phase 1 closes (so future sessions don't re-discover the campaign) - Decide repo home: marfrit/rosenblatt on git.reauktion.de (probably yes, after Phase-1 substrate is captured and the README isn't embarrassing)