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06b5b93556
sgl-kernel's shm.cpp uses __m512 AVX-512 intrinsics unconditionally; -march=native fails on CI runners without AVX-512 in /proc/cpuinfo. Force -march=sapphirerapids so the build always succeeds, matching sglang upstream's docker/xeon.Dockerfile recipe. The resulting binary still requires an AVX-512 capable CPU at runtime, so disable tests-sglang-grpc in test-extra.yml for the same reason tests-vllm-grpc is disabled. Local runs with make test-extra-backend-sglang still work on hosts with the right SIMD baseline. Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
83 lines
3.2 KiB
Bash
Executable File
83 lines
3.2 KiB
Bash
Executable File
#!/bin/bash
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set -e
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EXTRA_PIP_INSTALL_FLAGS="--no-build-isolation"
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# Avoid overcommitting the CPU during builds that compile native code.
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export NVCC_THREADS=2
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export MAX_JOBS=1
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backend_dir=$(dirname $0)
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if [ -d $backend_dir/common ]; then
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source $backend_dir/common/libbackend.sh
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else
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source $backend_dir/../common/libbackend.sh
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fi
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if [ "x${BUILD_PROFILE}" == "xintel" ]; then
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EXTRA_PIP_INSTALL_FLAGS+=" --upgrade --index-strategy=unsafe-first-match"
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fi
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if [ "x${BUILD_PROFILE}" == "xcpu" ]; then
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EXTRA_PIP_INSTALL_FLAGS+=" --index-strategy=unsafe-best-match"
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fi
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# sglang's CPU path has no prebuilt wheel on PyPI — upstream publishes
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# a separate pyproject_cpu.toml that must be swapped in before `pip install`.
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# Reference: docker/xeon.Dockerfile in the sglang upstream repo.
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#
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# When BUILD_TYPE is empty (CPU profile) or FROM_SOURCE=true is forced,
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# install torch/transformers/etc from requirements-cpu.txt, then clone
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# sglang and install its python/ and sgl-kernel/ packages from source
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# using the CPU pyproject.
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if [ "x${BUILD_TYPE}" == "x" ] || [ "x${FROM_SOURCE:-}" == "xtrue" ]; then
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# sgl-kernel's CPU build links against libnuma and libtbb. Install
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# them here (Docker builder stage) before running the source build.
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# Harmless no-op on runs outside the docker build since installRequirements
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# below still needs them only if we reach the source build branch.
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if command -v apt-get >/dev/null 2>&1 && [ "$(id -u)" = "0" ]; then
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apt-get update
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DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
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libnuma-dev numactl libtbb-dev libgomp1 libomp-dev google-perftools \
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build-essential cmake ninja-build
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fi
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installRequirements
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# sgl-kernel's pyproject_cpu.toml uses scikit-build-core as its build
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# backend. With --no-build-isolation, that (and ninja/cmake) must be
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# present in the venv before we build from source.
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uv pip install --no-build-isolation "scikit-build-core>=0.10" ninja cmake
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# sgl-kernel's CPU shm.cpp uses __m512 AVX-512 intrinsics unconditionally.
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# CMakeLists passes -march=native, which on runners without AVX-512 in
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# /proc/cpuinfo (ubuntu-latest, most shared CI pools) fails with
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# "__m512 return without 'avx512f' enabled changes the ABI".
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# Force Sapphire Rapids ISA at compile time so the build always succeeds;
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# the resulting binary still requires an AVX-512 capable CPU at runtime,
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# same constraint sglang upstream documents in docker/xeon.Dockerfile.
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export CXXFLAGS="${CXXFLAGS:-} -march=sapphirerapids"
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export CFLAGS="${CFLAGS:-} -march=sapphirerapids"
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_sgl_src=$(mktemp -d)
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trap 'rm -rf "${_sgl_src}"' EXIT
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git clone --depth 1 https://github.com/sgl-project/sglang "${_sgl_src}/sglang"
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pushd "${_sgl_src}/sglang/sgl-kernel"
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if [ -f pyproject_cpu.toml ]; then
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cp pyproject_cpu.toml pyproject.toml
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fi
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uv pip install ${EXTRA_PIP_INSTALL_FLAGS:-} .
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popd
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pushd "${_sgl_src}/sglang/python"
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if [ -f pyproject_cpu.toml ]; then
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cp pyproject_cpu.toml pyproject.toml
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fi
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uv pip install ${EXTRA_PIP_INSTALL_FLAGS:-} .
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popd
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else
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installRequirements
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fi
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