180 lines
6.9 KiB
Bash
Executable file
180 lines
6.9 KiB
Bash
Executable file
#!/bin/bash
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# This script is intended to run inside the go generate
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# working directory must be llm/generate/
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# First we build one or more CPU based LLM libraries
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#
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# Then if we detect CUDA, we build a CUDA dynamic library, and carry the required
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# library dependencies
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#
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# Then if we detect ROCm, we build a dynamically loaded ROCm lib. The ROCM
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# libraries are quite large, and also dynamically load data files at runtime
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# which in turn are large, so we don't attempt to cary them as payload
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set -ex
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set -o pipefail
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# See https://llvm.org/docs/AMDGPUUsage.html#processors for reference
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amdGPUs() {
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GPU_LIST=(
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"gfx803"
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"gfx900"
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"gfx906:xnack-"
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"gfx908:xnack-"
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"gfx90a:xnack+"
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"gfx90a:xnack-"
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"gfx1010"
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"gfx1012"
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"gfx1030"
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"gfx1100"
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"gfx1101"
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"gfx1102"
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)
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(
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IFS=$';'
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echo "'${GPU_LIST[*]}'"
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)
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}
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echo "Starting linux generate script"
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if [ -z "${CUDACXX}" ]; then
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if [ -x /usr/local/cuda/bin/nvcc ]; then
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export CUDACXX=/usr/local/cuda/bin/nvcc
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else
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# Try the default location in case it exists
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export CUDACXX=$(command -v nvcc)
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fi
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fi
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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"
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source $(dirname $0)/gen_common.sh
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init_vars
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git_module_setup
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apply_patches
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if [ -z "${OLLAMA_SKIP_CPU_GENERATE}" ]; then
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# Users building from source can tune the exact flags we pass to cmake for configuring
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# llama.cpp, and we'll build only 1 CPU variant in that case as the default.
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if [ -n "${OLLAMA_CUSTOM_CPU_DEFS}" ]; then
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echo "OLLAMA_CUSTOM_CPU_DEFS=\"${OLLAMA_CUSTOM_CPU_DEFS}\""
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CMAKE_DEFS="${OLLAMA_CUSTOM_CPU_DEFS} -DCMAKE_POSITION_INDEPENDENT_CODE=on ${CMAKE_DEFS}"
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BUILD_DIR="${LLAMACPP_DIR}/build/linux/${ARCH}/cpu"
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echo "Building custom CPU"
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build
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compress_libs
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else
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# Darwin Rosetta x86 emulation does NOT support AVX, AVX2, AVX512
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# -DLLAMA_AVX -- 2011 Intel Sandy Bridge & AMD Bulldozer
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# -DLLAMA_F16C -- 2012 Intel Ivy Bridge & AMD 2011 Bulldozer (No significant improvement over just AVX)
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# -DLLAMA_AVX2 -- 2013 Intel Haswell & 2015 AMD Excavator / 2017 AMD Zen
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# -DLLAMA_FMA (FMA3) -- 2013 Intel Haswell & 2012 AMD Piledriver
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# Note: the following seem to yield slower results than AVX2 - ymmv
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# -DLLAMA_AVX512 -- 2017 Intel Skylake and High End DeskTop (HEDT)
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# -DLLAMA_AVX512_VBMI -- 2018 Intel Cannon Lake
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# -DLLAMA_AVX512_VNNI -- 2021 Intel Alder Lake
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COMMON_CPU_DEFS="-DCMAKE_POSITION_INDEPENDENT_CODE=on -DLLAMA_NATIVE=off"
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#
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# CPU first for the default library, set up as lowest common denominator for maximum compatibility (including Rosetta)
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#
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CMAKE_DEFS="${COMMON_CPU_DEFS} -DLLAMA_AVX=off -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off ${CMAKE_DEFS}"
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BUILD_DIR="${LLAMACPP_DIR}/build/linux/${ARCH}/cpu"
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echo "Building LCD CPU"
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build
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compress_libs
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#
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# ~2011 CPU Dynamic library with more capabilities turned on to optimize performance
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# Approximately 400% faster than LCD on same CPU
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#
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init_vars
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CMAKE_DEFS="${COMMON_CPU_DEFS} -DLLAMA_AVX=on -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off ${CMAKE_DEFS}"
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BUILD_DIR="${LLAMACPP_DIR}/build/linux/${ARCH}/cpu_avx"
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echo "Building AVX CPU"
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build
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compress_libs
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#
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# ~2013 CPU Dynamic library
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# Approximately 10% faster than AVX on same CPU
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#
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init_vars
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CMAKE_DEFS="${COMMON_CPU_DEFS} -DLLAMA_AVX=on -DLLAMA_AVX2=on -DLLAMA_AVX512=off -DLLAMA_FMA=on -DLLAMA_F16C=on ${CMAKE_DEFS}"
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BUILD_DIR="${LLAMACPP_DIR}/build/linux/${ARCH}/cpu_avx2"
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echo "Building AVX2 CPU"
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build
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compress_libs
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fi
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else
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echo "Skipping CPU generation step as requested"
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fi
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# If needed, look for the default CUDA toolkit location
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if [ -z "${CUDA_LIB_DIR}" ] && [ -d /usr/local/cuda/lib64 ]; then
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CUDA_LIB_DIR=/usr/local/cuda/lib64
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fi
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# If needed, look for CUDA on Arch Linux
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if [ -z "${CUDA_LIB_DIR}" ] && [ -d /opt/cuda/targets/x86_64-linux/lib ]; then
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CUDA_LIB_DIR=/opt/cuda/targets/x86_64-linux/lib
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fi
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if [ -d "${CUDA_LIB_DIR}" ]; then
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echo "CUDA libraries detected - building dynamic CUDA library"
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init_vars
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CUDA_MAJOR=$(ls "${CUDA_LIB_DIR}"/libcudart.so.* | head -1 | cut -f3 -d. || true)
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if [ -n "${CUDA_MAJOR}" ]; then
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CUDA_VARIANT=_v${CUDA_MAJOR}
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fi
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CMAKE_DEFS="-DLLAMA_CUBLAS=on ${COMMON_CMAKE_DEFS} ${CMAKE_DEFS}"
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BUILD_DIR="${LLAMACPP_DIR}/build/linux/${ARCH}/cuda${CUDA_VARIANT}"
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EXTRA_LIBS="-L${CUDA_LIB_DIR} -lcudart -lcublas -lcublasLt -lcuda"
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build
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# Cary the CUDA libs as payloads to help reduce dependency burden on users
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#
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# TODO - in the future we may shift to packaging these separately and conditionally
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# downloading them in the install script.
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DEPS="$(ldd ${BUILD_DIR}/lib/libext_server.so )"
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for lib in libcudart.so libcublas.so libcublasLt.so ; do
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DEP=$(echo "${DEPS}" | grep ${lib} | cut -f1 -d' ' | xargs || true)
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if [ -n "${DEP}" -a -e "${CUDA_LIB_DIR}/${DEP}" ]; then
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cp "${CUDA_LIB_DIR}/${DEP}" "${BUILD_DIR}/lib/"
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elif [ -e "${CUDA_LIB_DIR}/${lib}.${CUDA_MAJOR}" ]; then
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cp "${CUDA_LIB_DIR}/${lib}.${CUDA_MAJOR}" "${BUILD_DIR}/lib/"
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else
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cp -d "${CUDA_LIB_DIR}/${lib}*" "${BUILD_DIR}/lib/"
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fi
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done
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compress_libs
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fi
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if [ -z "${ROCM_PATH}" ]; then
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# Try the default location in case it exists
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ROCM_PATH=/opt/rocm
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fi
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if [ -z "${CLBlast_DIR}" ]; then
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# Try the default location in case it exists
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if [ -d /usr/lib/cmake/CLBlast ]; then
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export CLBlast_DIR=/usr/lib/cmake/CLBlast
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fi
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fi
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if [ -d "${ROCM_PATH}" ]; then
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echo "ROCm libraries detected - building dynamic ROCm library"
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if [ -f ${ROCM_PATH}/lib/librocm_smi64.so.? ]; then
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ROCM_VARIANT=_v$(ls ${ROCM_PATH}/lib/librocm_smi64.so.? | cut -f3 -d. || true)
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fi
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init_vars
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CMAKE_DEFS="${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=$(amdGPUs)"
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BUILD_DIR="${LLAMACPP_DIR}/build/linux/${ARCH}/rocm${ROCM_VARIANT}"
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EXTRA_LIBS="-L${ROCM_PATH}/lib -L/opt/amdgpu/lib/x86_64-linux-gnu/ -Wl,-rpath,${ROCM_PATH}/lib,-rpath,/opt/amdgpu/lib/x86_64-linux-gnu/ -lhipblas -lrocblas -lamdhip64 -lrocsolver -lamd_comgr -lhsa-runtime64 -lrocsparse -ldrm -ldrm_amdgpu"
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build
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# Note: the ROCM libs and runtime library files are too large to embed, so we depend on
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# them being present at runtime on the host
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compress_libs
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fi
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cleanup
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