Prefer matching discrete GPU devices while retaining a matching integrated GPU as fallback. Tested with the pinned llama.cpp revision in CPU and Vulkan builds; this addresses the iGPU selector bug without claiming to fix the separate RX 9070 XT backend crash.
* feat(runtime): add Windows Vulkan release asset
* fix(ci): install SPIR-V headers for Windows Vulkan
* fix(runtime): make Windows Vulkan package standalone
Document the current sm_86 Windows CUDA prebuilt limit and direct RTX 50 / Blackwell users to CPU binaries or source builds with CMAKE_CUDA_ARCHITECTURES=120 until a dedicated asset is available.
Adds a Windows x64 CUDA release asset for the llama.cpp SenseVoice runtime, with CUDA Toolkit setup, architecture-86 build flags, focused SenseVoice target packaging, docs, and workflow regression tests. Manual workflow dispatch 29656771776 passed all build matrix jobs including build-windows-x64-cuda.
* test: numerical regression harness (frozen golden vs ggml/VAD/CIF/CTC output)
Adds tests/ — runs each runtime tool on a fixed 6 s clip and diffs against frozen
golden output, catching regressions in the ggml graphs, the FSMN-VAD state machine,
the CIF predictor and CTC decode.
- tests/run_regression.sh: auto-detects which tools are built; VAD model is auto-fetched
(1.7 MB), ASR GGUFs tested when present or with RUN_FULL=1 (downloads from HF).
Non-zero exit on any mismatch. BIN_DIR/MODELS_DIR overridable.
- tests/sample.wav (~6 s) + tests/golden/*.txt: golden captured on Linux x86-64 with the
f16 GGUFs from FunAudioLLM/*-GGUF.
Verified locally: all present tools PASS; default mode fetches VAD + skips absent models.
* test: golden as text (binaries now detok in-process; merge after in-binary-detok)
* test: fix sensevoice golden (correct transcription text)
LauraGPT