#!/bin/bash # Script used only in CD pipeline set -ex NCCL_VERSION=v2.21.5-1 function install_cusparselt_052 { # cuSparseLt license: https://docs.nvidia.com/cuda/cusparselt/license.html mkdir tmp_cusparselt && pushd tmp_cusparselt wget -q https://developer.download.nvidia.com/compute/cusparselt/redist/libcusparse_lt/linux-sbsa/libcusparse_lt-linux-sbsa-0.5.2.1-archive.tar.xz tar xf libcusparse_lt-linux-sbsa-0.5.2.1-archive.tar.xz cp -a libcusparse_lt-linux-sbsa-0.5.2.1-archive/include/* /usr/local/cuda/include/ cp -a libcusparse_lt-linux-sbsa-0.5.2.1-archive/lib/* /usr/local/cuda/lib64/ popd rm -rf tmp_cusparselt } function install_124 { echo "Installing CUDA 12.4.1 and cuDNN 9.1 and NCCL ${NCCL_VERSION} and cuSparseLt-0.5.2" rm -rf /usr/local/cuda-12.4 /usr/local/cuda # install CUDA 12.4.1 in the same container wget -q https://developer.download.nvidia.com/compute/cuda/12.4.1/local_installers/cuda_12.4.1_550.54.15_linux_sbsa.run chmod +x cuda_12.4.1_550.54.15_linux_sbsa.run ./cuda_12.4.1_550.54.15_linux_sbsa.run --toolkit --silent rm -f cuda_12.4.1_550.54.15_linux_sbsa.run rm -f /usr/local/cuda && ln -s /usr/local/cuda-12.4 /usr/local/cuda # cuDNN license: https://developer.nvidia.com/cudnn/license_agreement mkdir tmp_cudnn && cd tmp_cudnn wget -q https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-sbsa/cudnn-linux-sbsa-9.1.0.70_cuda12-archive.tar.xz -O cudnn-linux-sbsa-9.1.0.70_cuda12-archive.tar.xz tar xf cudnn-linux-sbsa-9.1.0.70_cuda12-archive.tar.xz cp -a cudnn-linux-sbsa-9.1.0.70_cuda12-archive/include/* /usr/local/cuda/include/ cp -a cudnn-linux-sbsa-9.1.0.70_cuda12-archive/lib/* /usr/local/cuda/lib64/ cd .. rm -rf tmp_cudnn # NCCL license: https://docs.nvidia.com/deeplearning/nccl/#licenses # Follow build: https://github.com/NVIDIA/nccl/tree/master?tab=readme-ov-file#build git clone -b ${NCCL_VERSION} --depth 1 https://github.com/NVIDIA/nccl.git cd nccl && make -j src.build cp -a build/include/* /usr/local/cuda/include/ cp -a build/lib/* /usr/local/cuda/lib64/ cd .. rm -rf nccl install_cusparselt_052 ldconfig } function prune_124 { echo "Pruning CUDA 12.4" ##################################################################################### # CUDA 12.4 prune static libs ##################################################################################### export NVPRUNE="/usr/local/cuda-12.4/bin/nvprune" export CUDA_LIB_DIR="/usr/local/cuda-12.4/lib64" export GENCODE="-gencode arch=compute_50,code=sm_50 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_90,code=sm_90" export GENCODE_CUDNN="-gencode arch=compute_50,code=sm_50 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_90,code=sm_90" if [[ -n "$OVERRIDE_GENCODE" ]]; then export GENCODE=$OVERRIDE_GENCODE fi # all CUDA libs except CuDNN and CuBLAS ls $CUDA_LIB_DIR/ | grep "\.a" | grep -v "culibos" | grep -v "cudart" | grep -v "cudnn" | grep -v "cublas" | grep -v "metis" \ | xargs -I {} bash -c \ "echo {} && $NVPRUNE $GENCODE $CUDA_LIB_DIR/{} -o $CUDA_LIB_DIR/{}" # prune CuDNN and CuBLAS $NVPRUNE $GENCODE_CUDNN $CUDA_LIB_DIR/libcublas_static.a -o $CUDA_LIB_DIR/libcublas_static.a $NVPRUNE $GENCODE_CUDNN $CUDA_LIB_DIR/libcublasLt_static.a -o $CUDA_LIB_DIR/libcublasLt_static.a ##################################################################################### # CUDA 12.1 prune visual tools ##################################################################################### export CUDA_BASE="/usr/local/cuda-12.4/" rm -rf $CUDA_BASE/libnvvp $CUDA_BASE/nsightee_plugins $CUDA_BASE/nsight-compute-2024.1.0 $CUDA_BASE/nsight-systems-2023.4.4/ } # idiomatic parameter and option handling in sh while test $# -gt 0 do case "$1" in 12.4) install_124; prune_124 ;; *) echo "bad argument $1"; exit 1 ;; esac shift done