tzhouamandClaude Fable 5.1
35e43b9983
* vllm_omni/platforms/cpu/platform.py: CPUOmniPlatform(OmniPlatform, CpuPlatform) selected when VLLM_TARGET_DEVICE=cpu or a +cpu vLLM wheel is installed (builtin plugin "cpu"; explicit CPU target short-circuits accelerator probes like vLLM does). NUMA-based memory queries, one logical device, no graph wrapper (sentinel type for isinstance checks), inductor opt-in via VLLM_OMNI_CPU_INDUCTOR=1, diffusion stages unsupported. * vllm_omni/platforms/cpu/worker: CPUARWorker / CPUGenerationWorker compose vLLM's CPUWorker with the Omni mixin (XPU pattern); CPUARModelRunner / CPUGenerationModelRunner compose the Omni runners with CPUModelRunner (no graphs, no async omni output; sleep/wake return error ACKs). * patch.py skips the CuMem patch on CPU-only torch; Qwen3-TTS speaker encoder and prompt-embeds dtype follow the model dtype (float32/float16 on CPU). * vllm_omni/deploy/qwen3_tts.yaml: `platforms: cpu:` overlay (eager, no async scheduling, absolute kv_cache_memory_bytes, disjoint OMP thread ranges). * requirements/cpu.txt (+psutil, intel-openmp), docs/getting_started/installation/cpu.md. Measured (this x86 Xeon 8480C host, vllm 0.28.0+cpu, bf16, 12+4 threads): Qwen3-TTS 0.6B CustomVoice end-to-end on CPU, 12 prompts: TTFA p50 292 ms, RTF ~1.7 (25-frame chunk ~4.6 s), init 185 s. Result JSON + init timeline committed under benchmarks/tts/edge_results/. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Installation
!!! important vLLM-Omni is released against the matching upstream vLLM major/minor version. vLLM-Omni 0.28.x requires vLLM 0.28.x; the stable v0.28.0 instructions pin vLLM 0.28.0.
vLLM-Omni supports the following hardware platforms: