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329df11989
The prebuilt vllm 0.14.1+cpu wheel from GitHub releases is compiled with SIMD instructions (AVX-512 VNNI/BF16 or AMX-BF16) that not every CPU supports. GitHub Actions ubuntu-latest runners SIGILL when vllm spawns the model_executor.models.registry subprocess for introspection, so LoadModel never reaches the actual inference path. - install.sh: when FROM_SOURCE=true on a CPU build, temporarily hide requirements-cpu-after.txt so installRequirements installs the base deps + torch CPU without pulling the prebuilt wheel, then clone vllm and compile it with VLLM_TARGET_DEVICE=cpu. The resulting binaries target the host's actual CPU. - backend/Dockerfile.python: accept a FROM_SOURCE build-arg and expose it as an ENV so install.sh sees it during `make`. - Makefile docker-build-backend: forward FROM_SOURCE as --build-arg when set, so backends that need source builds can opt in. - Makefile test-extra-backend-vllm: call docker-build-vllm via a recursive $(MAKE) invocation so FROM_SOURCE flows through. - .github/workflows/test-extra.yml: set FROM_SOURCE=true on the tests-vllm-grpc job. Slower but reliable — the prebuilt wheel only works on hosts that share the build-time SIMD baseline. Answers 'did you test locally?': yes, end-to-end on my local machine with the prebuilt wheel (CPU supports AVX-512 VNNI). The CI runner CPU gap was not covered locally — this commit plugs that gap.