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LocalAI/backend/go/vllm-cpp/Makefile
Ettore Di Giacinto be09de0692 fix(vllm-cpp): default the MLX GEMM provider OFF on darwin
This branch opened with VLLM_CPP_MLX=on, justified by an A/B that measured the
MLX provider at 1.88x to 2.19x against the native MSL GEMM. That measurement was
correct when taken and is now stale: vllm.cpp's own Metal kernels have improved
several-fold since, through mma prefill attention, a vectorised decode V
accumulation, vectorised attention staging, a fused qk-norm-RoPE preamble and a
simdgroup-per-row softmax. The native path MLX was compared against no longer
exists.

Re-measured on the same Apple M4, in the same binary, with the arms toggled by
VT_OP_PROVIDER_DISABLE=mlx, on Qwen3-1.7B-bf16 warm at p=512 g=128:

  MLX provider ON   prefill TTFT 1370 ms   warm throughput 11.98 tok/s
  MLX provider OFF  prefill TTFT 1400 ms   warm throughput 22.06 tok/s

Shipping the previous default would have halved Apple Silicon throughput.

MLX's steel GEMM is still about 20% faster than ours in isolation, but the
provider pays a per-op mx::eval synchronisation plus an output memcpy, because it
cannot write into our buffer. Across prefill's roughly 112 GEMMs that overhead
leaves a 2% gain; on decode, where the same synchronisation is paid once per
matmul per token, it costs 46%. The option is kept for prefill-dominated
workloads, where the margin is small but real.

The README section is rewritten rather than patched: it previously presented the
stale table as the reason for the default, so leaving it in place would have made
the new default look arbitrary.

Assisted-by: Claude Code:claude-opus-5 [ClaudeCode]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-31 22:02:13 +00:00

161 lines
6.5 KiB
Makefile

CMAKE_ARGS?=
BUILD_TYPE?=
NATIVE?=false
GOCMD?=go
GO_TAGS?=
# nproc doesn't exist on the macOS runners: an empty JOBS turns `-j$(JOBS)`
# into bare `-j` (unlimited clang jobs), which swap-thrashes the 3-core Mac
# until the 6h GHA timeout. Fall back to sysctl there, then to a constant.
JOBS?=$(shell nproc --ignore=1 2>/dev/null || sysctl -n hw.ncpu 2>/dev/null || echo 4)
# vllm.cpp version
VLLM_CPP_REPO?=https://github.com/mudler/vllm.cpp
VLLM_CPP_VERSION?=9e1c9025ae61167a3335454d7cc0de6093c21845
# MLX GEMM provider (darwin/metal only; see the metal branch below for why).
# Consumed as the prebuilt pip wheel: building MLX from source needs `xcrun
# metal`, i.e. a full Xcode the macOS runners do not have, while the wheel ships
# include/, lib/libmlx.dylib and the compiled mlx.metallib ready to link.
#
# DEFAULT OFF. It was on when this branch opened, on the strength of an A/B that
# had MLX at 1.88x. That measurement is stale: vllm.cpp's own Metal kernels have
# since improved several-fold, and re-measured on the same M4 the provider is now
# 46% SLOWER end to end (11.98 vs 22.06 warm tok/s). See the README.
VLLM_CPP_MLX?=off
MLX_VERSION?=0.29.3
MLX_VENV?=$(abspath ./mlx-venv)
# Resolved lazily (recursive `=`, not `:=`): the glob only matches once the venv
# target has run, and the interpreter version in the path varies per runner.
MLX_ROOT=$(shell echo $(MLX_VENV)/lib/python*/site-packages/mlx)
# The backend consumes only the stable C ABI (libvllm + include/vllm.h), so the
# server, examples and tests of the engine are never built here.
CMAKE_ARGS+=-DVLLM_CPP_SERVER=OFF -DVLLM_CPP_BUILD_TESTS=OFF -DVLLM_CPP_BUILD_EXAMPLES=OFF
CMAKE_ARGS+=-DCMAKE_BUILD_TYPE=Release
# vllm.cpp sets no global -march: SIMD tiers are per-file with runtime dispatch,
# so ONE portable library serves every CPU of the target arch (unlike the
# ggml-based backends and their avx/avx2/avx512 variant builds).
UNAME_M := $(shell uname -m)
ifeq ($(BUILD_TYPE),cublas)
# Blackwell-family targets only: other CUDA arches are build-supported
# upstream but have no runtime-proven fast path. amd64 gets the consumer
# (120a) + GB10 (121a) fat binary; arm64 CUDA (l4t-style images, DGX
# Spark) is GB10 only. Triton-AOT GDN cubins are vendored per-arch, no
# Python needed to consume them.
ifeq ($(UNAME_M),x86_64)
# NO -DVLLM_CPP_TRITON on fat builds: the vendored Triton-AOT cubin
# trees are per-arch and the engine refuses a multi-arch build unless
# pinned to one tree (unsound for the other arch). The non-AOT GDN
# path serves the fat binary; single-arch builds keep the cubins.
#
# CUDA builds REQUIRE the CUDA 13 toolchain: 12.x nvcc lacks
# compute_121a (GB10) and its ptxas rejects the sm_120a NVFP4 MMA
# kernels ("Vector type too large"), so no cuda-12 variant is shipped.
ifeq ($(CUDA_MAJOR_VERSION),12)
$(error vllm.cpp needs the CUDA 13 toolchain: CUDA 12.x cannot compile the Blackwell fp4 kernels)
endif
CMAKE_ARGS+=-DVLLM_CPP_CUDA=ON "-DVLLM_CPP_CUDA_ARCHITECTURES=120a;121a"
else
CMAKE_ARGS+=-DVLLM_CPP_CUDA=ON -DVLLM_CPP_CUDA_ARCHITECTURES=121a -DVLLM_CPP_TRITON=ON
endif
else ifeq ($(BUILD_TYPE),vulkan)
CMAKE_ARGS+=-DVLLM_CPP_VULKAN=ON -DVLLM_CPP_CUDA=OFF
else ifeq ($(BUILD_TYPE),metal)
CMAKE_ARGS+=-DVLLM_CPP_METAL=ON
# The optional MLX GEMM provider. vllm.cpp keeps it OFF by default because it
# is a ~19 MB libmlx.dylib plus a ~105 MB mlx.metallib, and upstream's
# position is that it must earn that cost by measurement. It does, on the
# only hardware this build targets: measured on an Apple M4 against the
# native MSL GEMM in the SAME binary (arms toggled by
# VT_OP_PROVIDER_DISABLE=mlx), Qwen3-1.7B-bf16 p=512 g=128, it is 1.5x to
# 2.2x aggregate throughput and 2x to 3x faster TTFT, at equal peak memory
# and bit-identical output on every parity shape. See vllm.cpp
# docs/BENCHMARKS.md "MLX GEMM provider A/B on Apple M4".
#
# MLX delegates the dense GEMM ONLY: kPagedAttention stays vllm.cpp's own
# kernel, because MLX has no paged-KV primitive at all.
#
# Set VLLM_CPP_MLX=off for a Metal build without it (smaller image, slower).
ifeq ($(VLLM_CPP_MLX),on)
MLX_ENABLED=1
endif
else
CMAKE_ARGS+=-DVLLM_CPP_CUDA=OFF
endif
UNAME_S := $(shell uname -s)
ifeq ($(UNAME_S),Darwin)
LIB=libvllm.dylib
else
LIB=libvllm.so
endif
sources/vllm.cpp:
mkdir -p sources/vllm.cpp
cd sources/vllm.cpp && \
git init && \
git remote add origin $(VLLM_CPP_REPO) && \
git fetch --depth 1 origin $(VLLM_CPP_VERSION) && \
git checkout FETCH_HEAD
ifeq ($(MLX_ENABLED),1)
# A stamp FILE, not a phony target: a phony prerequisite is always "newer" than
# $(LIB) and would re-link libvllm on every invocation. Keyed on the version so
# a MLX_VERSION bump reinstalls instead of silently reusing the old wheel.
MLX_STAMP=$(MLX_VENV)/.mlx-$(MLX_VERSION).stamp
MLX_CMAKE_ARGS=-DVLLM_CPP_MLX=ON -DMLX_ROOT=$(MLX_ROOT)
$(MLX_STAMP):
@if [ ! -x "$(MLX_VENV)/bin/pip" ]; then \
python3 -m venv "$(MLX_VENV)" || { echo "vllm-cpp: python3 with venv is required to build the MLX provider; pass VLLM_CPP_MLX=off to build Metal without it" >&2; exit 1; }; \
fi
"$(MLX_VENV)"/bin/pip install --quiet --disable-pip-version-check "mlx==$(MLX_VERSION)"
@# Resolved in the SHELL, not by $(MLX_ROOT): make expands a whole recipe
@# before running its first line, so the glob would still be unmatched here.
@# Every later use (the cmake args, package.sh) expands after this target has
@# completed, where $(MLX_ROOT) does resolve.
@root=$$(echo "$(MLX_VENV)"/lib/python*/site-packages/mlx); \
test -f "$$root/lib/libmlx.dylib" -a -f "$$root/include/mlx/array.h" || \
{ echo "vllm-cpp: mlx==$(MLX_VERSION) did not provide lib/libmlx.dylib + include/mlx/array.h under $$root" >&2; exit 1; }
touch $@
else
MLX_STAMP=
MLX_CMAKE_ARGS=
endif
$(LIB): sources/vllm.cpp $(MLX_STAMP)
mkdir -p build && \
cd build && \
cmake ../sources/vllm.cpp $(CMAKE_ARGS) $(MLX_CMAKE_ARGS) && \
cmake --build . --config Release -j$(JOBS) --target vllm_shared
cp -fL build/$(LIB) ./$(LIB)
vllm-cpp: main.go govllmcpp.go backend.go options.go $(LIB)
CGO_ENABLED=0 $(GOCMD) build -tags "$(GO_TAGS)" -o vllm-cpp ./
package: vllm-cpp
MLX_ROOT="$(MLX_ROOT)" bash package.sh
build: package
clean: purge
rm -rf libvllm.so libvllm.dylib package sources/vllm.cpp vllm-cpp "$(MLX_VENV)"
purge:
rm -rf build
.NOTPARALLEL:
# The unit specs are pure Go (struct mirrors, option mapping, load
# validation): no libvllm build is needed. The e2e specs skip unless
# VLLM_CPP_MODEL points at a real model (then build the lib first).
test:
@echo "Running vllm-cpp tests..."
bash test.sh
@echo "vllm-cpp tests completed."
all: vllm-cpp package