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b5b47da709
Keep the GNU constant-folding diagnostics visible on Darwin without allowing vllm.cpp's global -Werror to fail the Metal backend build. Assisted-by: Codex:gpt-5 [systematic-debugging]
108 lines
3.8 KiB
Makefile
108 lines
3.8 KiB
Makefile
CMAKE_ARGS?=
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BUILD_TYPE?=
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NATIVE?=false
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GOCMD?=go
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GO_TAGS?=
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# nproc doesn't exist on the macOS runners: an empty JOBS turns `-j$(JOBS)`
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# into bare `-j` (unlimited clang jobs), which swap-thrashes the 3-core Mac
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# until the 6h GHA timeout. Fall back to sysctl there, then to a constant.
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JOBS?=$(shell nproc --ignore=1 2>/dev/null || sysctl -n hw.ncpu 2>/dev/null || echo 4)
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# vllm.cpp version
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VLLM_CPP_REPO?=https://github.com/mudler/vllm.cpp
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VLLM_CPP_VERSION?=6d4fb5e7ae13eb8a30fdd3f5e8df8a3d8a83143b
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# The backend consumes only the stable C ABI (libvllm + include/vllm.h), so the
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# server, examples and tests of the engine are never built here.
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CMAKE_ARGS+=-DVLLM_CPP_SERVER=OFF -DVLLM_CPP_BUILD_TESTS=OFF -DVLLM_CPP_BUILD_EXAMPLES=OFF
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CMAKE_ARGS+=-DCMAKE_BUILD_TYPE=Release
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# vllm.cpp sets no global -march: SIMD tiers are per-file with runtime dispatch,
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# so ONE portable library serves every CPU of the target arch (unlike the
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# ggml-based backends and their avx/avx2/avx512 variant builds).
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UNAME_M := $(shell uname -m)
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ifeq ($(BUILD_TYPE),cublas)
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# Blackwell-family targets only: other CUDA arches are build-supported
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# upstream but have no runtime-proven fast path. amd64 gets the consumer
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# (120a) + GB10 (121a) fat binary; arm64 CUDA (l4t-style images, DGX
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# Spark) is GB10 only. Triton-AOT GDN cubins are vendored per-arch, no
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# Python needed to consume them.
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ifeq ($(UNAME_M),x86_64)
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# NO -DVLLM_CPP_TRITON on fat builds: the vendored Triton-AOT cubin
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# trees are per-arch and the engine refuses a multi-arch build unless
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# pinned to one tree (unsound for the other arch). The non-AOT GDN
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# path serves the fat binary; single-arch builds keep the cubins.
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#
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# CUDA builds REQUIRE the CUDA 13 toolchain: 12.x nvcc lacks
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# compute_121a (GB10) and its ptxas rejects the sm_120a NVFP4 MMA
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# kernels ("Vector type too large"), so no cuda-12 variant is shipped.
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ifeq ($(CUDA_MAJOR_VERSION),12)
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$(error vllm.cpp needs the CUDA 13 toolchain: CUDA 12.x cannot compile the Blackwell fp4 kernels)
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endif
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CMAKE_ARGS+=-DVLLM_CPP_CUDA=ON "-DVLLM_CPP_CUDA_ARCHITECTURES=120a;121a"
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else
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CMAKE_ARGS+=-DVLLM_CPP_CUDA=ON -DVLLM_CPP_CUDA_ARCHITECTURES=121a -DVLLM_CPP_TRITON=ON
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endif
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else ifeq ($(BUILD_TYPE),vulkan)
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CMAKE_ARGS+=-DVLLM_CPP_VULKAN=ON -DVLLM_CPP_CUDA=OFF
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else ifeq ($(BUILD_TYPE),metal)
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CMAKE_ARGS+=-DVLLM_CPP_METAL=ON
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else
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CMAKE_ARGS+=-DVLLM_CPP_CUDA=OFF
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endif
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UNAME_S := $(shell uname -s)
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ifeq ($(UNAME_S),Darwin)
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LIB=libvllm.dylib
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# Apple Clang diagnoses a pair of constant-folded array bounds in the Metal
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# build as a GNU extension. vllm.cpp's global -Werror otherwise turns these
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# warnings into a hard failure; keep them visible without failing the build.
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CMAKE_ARGS+=-DCMAKE_CXX_FLAGS=-Wno-error=gnu-folding-constant
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CMAKE_ARGS+=-DCMAKE_OBJCXX_FLAGS=-Wno-error=gnu-folding-constant
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else
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LIB=libvllm.so
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endif
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sources/vllm.cpp:
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mkdir -p sources/vllm.cpp
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cd sources/vllm.cpp && \
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git init && \
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git remote add origin $(VLLM_CPP_REPO) && \
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git fetch --depth 1 origin $(VLLM_CPP_VERSION) && \
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git checkout FETCH_HEAD
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$(LIB): sources/vllm.cpp
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mkdir -p build && \
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cd build && \
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cmake ../sources/vllm.cpp $(CMAKE_ARGS) && \
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cmake --build . --config Release -j$(JOBS) --target vllm_shared
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cp -fL build/$(LIB) ./$(LIB)
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vllm-cpp: main.go govllmcpp.go backend.go options.go $(LIB)
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CGO_ENABLED=0 $(GOCMD) build -tags "$(GO_TAGS)" -o vllm-cpp ./
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package: vllm-cpp
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bash package.sh
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build: package
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clean: purge
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rm -rf libvllm.so libvllm.dylib package sources/vllm.cpp vllm-cpp
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purge:
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rm -rf build
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.NOTPARALLEL:
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# The unit specs are pure Go (struct mirrors, option mapping, load
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# validation): no libvllm build is needed. The e2e specs skip unless
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# VLLM_CPP_MODEL points at a real model (then build the lib first).
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test:
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@echo "Running vllm-cpp tests..."
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bash test.sh
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@echo "vllm-cpp tests completed."
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all: vllm-cpp package
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