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- #!/bin/bash
- # This script is intended to run inside the go generate
- # working directory must be llm/generate/
- # First we build our default built-in library which will be linked into the CGO
- # binary as a normal dependency. This default build is CPU based.
- #
- # Then we build a CUDA dynamic library (although statically linked with the CUDA
- # library dependencies for maximum portability)
- #
- # Then if we detect ROCm, we build a dynamically loaded ROCm lib. ROCm is particularly
- # important to be a dynamic lib even if it's the only GPU library detected because
- # we can't redistribute the objectfiles but must rely on dynamic libraries at
- # runtime, which could lead the server not to start if not present.
- set -ex
- set -o pipefail
- # See https://llvm.org/docs/AMDGPUUsage.html#processors for reference
- amdGPUs() {
- GPU_LIST=(
- "gfx803"
- "gfx900"
- "gfx906:xnack-"
- "gfx908:xnack-"
- "gfx90a:xnack+"
- "gfx90a:xnack-"
- "gfx1010"
- "gfx1012"
- "gfx1030"
- "gfx1100"
- "gfx1101"
- "gfx1102"
- )
- (
- IFS=$';'
- echo "'${GPU_LIST[*]}'"
- )
- }
- echo "Starting linux generate script"
- if [ -z "${CUDACXX}" -a -x /usr/local/cuda/bin/nvcc ]; then
- export CUDACXX=/usr/local/cuda/bin/nvcc
- fi
- COMMON_CMAKE_DEFS="-DCMAKE_POSITION_INDEPENDENT_CODE=on -DLLAMA_NATIVE=off -DLLAMA_AVX=on -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off"
- source $(dirname $0)/gen_common.sh
- init_vars
- git_module_setup
- apply_patches
- if [ -z "${OLLAMA_SKIP_CPU_GENERATE}" ]; then
- # Users building from source can tune the exact flags we pass to cmake for configuring
- # llama.cpp, and we'll build only 1 CPU variant in that case as the default.
- if [ -n "${OLLAMA_CUSTOM_CPU_DEFS}" ]; then
- echo "OLLAMA_CUSTOM_CPU_DEFS=\"${OLLAMA_CUSTOM_CPU_DEFS}\""
- CMAKE_DEFS="${OLLAMA_CUSTOM_CPU_DEFS} -DCMAKE_POSITION_INDEPENDENT_CODE=on ${CMAKE_DEFS}"
- BUILD_DIR="${LLAMACPP_DIR}/build/linux/cpu"
- echo "Building custom CPU"
- build
- install
- link_server_lib
- else
- # Darwin Rosetta x86 emulation does NOT support AVX, AVX2, AVX512
- # -DLLAMA_AVX -- 2011 Intel Sandy Bridge & AMD Bulldozer
- # -DLLAMA_F16C -- 2012 Intel Ivy Bridge & AMD 2011 Bulldozer (No significant improvement over just AVX)
- # -DLLAMA_AVX2 -- 2013 Intel Haswell & 2015 AMD Excavator / 2017 AMD Zen
- # -DLLAMA_FMA (FMA3) -- 2013 Intel Haswell & 2012 AMD Piledriver
- # Note: the following seem to yield slower results than AVX2 - ymmv
- # -DLLAMA_AVX512 -- 2017 Intel Skylake and High End DeskTop (HEDT)
- # -DLLAMA_AVX512_VBMI -- 2018 Intel Cannon Lake
- # -DLLAMA_AVX512_VNNI -- 2021 Intel Alder Lake
- COMMON_CPU_DEFS="-DCMAKE_POSITION_INDEPENDENT_CODE=on -DLLAMA_NATIVE=off"
- #
- # CPU first for the default library, set up as lowest common denominator for maximum compatibility (including Rosetta)
- #
- CMAKE_DEFS="${COMMON_CPU_DEFS} -DLLAMA_AVX=off -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off ${CMAKE_DEFS}"
- BUILD_DIR="${LLAMACPP_DIR}/build/linux/cpu"
- echo "Building LCD CPU"
- build
- install
- link_server_lib
- #
- # ~2011 CPU Dynamic library with more capabilities turned on to optimize performance
- # Approximately 400% faster than LCD on same CPU
- #
- init_vars
- CMAKE_DEFS="${COMMON_CPU_DEFS} -DLLAMA_AVX=on -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off ${CMAKE_DEFS}"
- BUILD_DIR="${LLAMACPP_DIR}/build/linux/cpu_avx"
- echo "Building AVX CPU"
- build
- install
- link_server_lib
- #
- # ~2013 CPU Dynamic library
- # Approximately 10% faster than AVX on same CPU
- #
- init_vars
- CMAKE_DEFS="${COMMON_CPU_DEFS} -DLLAMA_AVX=on -DLLAMA_AVX2=on -DLLAMA_AVX512=off -DLLAMA_FMA=on -DLLAMA_F16C=on ${CMAKE_DEFS}"
- BUILD_DIR="${LLAMACPP_DIR}/build/linux/cpu_avx2"
- echo "Building AVX2 CPU"
- build
- install
- link_server_lib
- fi
- else
- echo "Skipping CPU generation step as requested"
- fi
- if [ -d /usr/local/cuda/lib64/ ]; then
- echo "CUDA libraries detected - building dynamic CUDA library"
- init_vars
- CUDA_MAJOR=$(ls /usr/local/cuda/lib64/libcudart.so.* | head -1 | cut -f3 -d. || true)
- if [ -n "${CUDA_MAJOR}" ]; then
- CUDA_VARIANT=_v${CUDA_MAJOR}
- fi
- CMAKE_DEFS="-DLLAMA_CUBLAS=on ${COMMON_CMAKE_DEFS} ${CMAKE_DEFS}"
- BUILD_DIR="${LLAMACPP_DIR}/build/linux/cuda${CUDA_VARIANT}"
- CUDA_LIB_DIR=/usr/local/cuda/lib64
- build
- install
- gcc -fPIC -g -shared -o ${BUILD_DIR}/lib/libext_server.so \
- -Wl,--whole-archive \
- ${BUILD_DIR}/lib/libext_server.a \
- ${BUILD_DIR}/lib/libcommon.a \
- ${BUILD_DIR}/lib/libllama.a \
- -Wl,--no-whole-archive \
- ${CUDA_LIB_DIR}/libcudart_static.a \
- ${CUDA_LIB_DIR}/libcublas_static.a \
- ${CUDA_LIB_DIR}/libcublasLt_static.a \
- ${CUDA_LIB_DIR}/libcudadevrt.a \
- ${CUDA_LIB_DIR}/libculibos.a \
- -lrt -lpthread -ldl -lstdc++ -lm
- fi
- if [ -z "${ROCM_PATH}" ]; then
- # Try the default location in case it exists
- ROCM_PATH=/opt/rocm
- fi
- if [ -z "${CLBlast_DIR}" ]; then
- # Try the default location in case it exists
- if [ -d /usr/lib/cmake/CLBlast ]; then
- export CLBlast_DIR=/usr/lib/cmake/CLBlast
- fi
- fi
- if [ -d "${ROCM_PATH}" ]; then
- echo "ROCm libraries detected - building dynamic ROCm library"
- if [ -f ${ROCM_PATH}/lib/librocm_smi64.so.? ]; then
- ROCM_VARIANT=_v$(ls ${ROCM_PATH}/lib/librocm_smi64.so.? | cut -f3 -d. || true)
- fi
- init_vars
- CMAKE_DEFS="${COMMON_CMAKE_DEFS} ${CMAKE_DEFS} -DLLAMA_HIPBLAS=on -DCMAKE_C_COMPILER=$ROCM_PATH/llvm/bin/clang -DCMAKE_CXX_COMPILER=$ROCM_PATH/llvm/bin/clang++ -DAMDGPU_TARGETS=$(amdGPUs) -DGPU_TARGETS=$(amdGPUs)"
- BUILD_DIR="${LLAMACPP_DIR}/build/linux/rocm${ROCM_VARIANT}"
- build
- install
- gcc -fPIC -g -shared -o ${BUILD_DIR}/lib/libext_server.so \
- -Wl,--whole-archive \
- ${BUILD_DIR}/lib/libext_server.a \
- ${BUILD_DIR}/lib/libcommon.a \
- ${BUILD_DIR}/lib/libllama.a \
- -Wl,--no-whole-archive \
- -lrt -lpthread -ldl -lstdc++ -lm \
- -L/opt/rocm/lib -L/opt/amdgpu/lib/x86_64-linux-gnu/ \
- -Wl,-rpath,/opt/rocm/lib,-rpath,/opt/amdgpu/lib/x86_64-linux-gnu/ \
- -lhipblas -lrocblas -lamdhip64 -lrocsolver -lamd_comgr -lhsa-runtime64 -lrocsparse -ldrm -ldrm_amdgpu
- fi
- cleanup
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