#!/bin/bash -e set -x CWD=$(dirname $0) BASEDIR=$(readlink -f ${CWD}/../../..) OUTPUTDIR=$(readlink -f ${CWD}/output) USERID=$(id -u) TMPFS_ARGS="--tmpfs /tmp:exec" local_path=$(dirname $(readlink -f $0)) CUDNN_LIB_DIR="/opt/cudnn/lib64/" CUDA_LIB_DIR="/usr/local/cuda/lib64/" SDK_NAME="unknown" x86_64_support_version="cu101 cu111 cu112 cpu" aarch64_support_version="cu102_JetsonNano cu111 cpu" if [[ -z ${IN_CI} ]] then IN_CI="false" fi function usage() { echo "use -sdk sdk_version to specify sdk toolkit config!" echo "now x86_64 sdk_version support ${x86_64_support_version}" echo "now aarch64 sdk_version support ${aarch64_support_version}" } while [ "$1" != "" ]; do case $1 in -sdk) shift SDK_NAME=$1 shift ;; *) usage exit -1 esac done is_valid_sdk="false" all_sdk="" machine=$(uname -m) case ${machine} in x86_64) all_sdk=${x86_64_support_version} ;; aarch64) all_sdk=${aarch64_support_version} ;; *) echo "nonsupport env!!!";exit -1 ;; esac for i_sdk in ${all_sdk} do if [ ${i_sdk} == ${SDK_NAME} ];then is_valid_sdk="true" fi done if [ ${is_valid_sdk} == "false" ];then echo "invalid sdk: ${SDK_NAME}" usage exit -1 fi echo "Build with ${SDK_NAME}" if [ $SDK_NAME == "cu101" ];then CUDA_COPY_LIB_LIST="\ ${CUDA_LIB_DIR}/libnvrtc.so.10.1" EXTRA_CMAKE_FLAG=" -DMGE_WITH_CUDNN_SHARED=OFF -DMGE_WITH_CUBLAS_SHARED=OFF" BUILD_GCC8="ON" REQUIR_CUDA_VERSION="10010" REQUIR_CUDNN_VERSION="7.6.3" REQUIR_TENSORRT_VERSION="6.0.1.5" REQUIR_CUBLAS_VERSION="10.2.1.243" elif [ $SDK_NAME == "cu102_JetsonNano" ];then # Jetson Nano B01 version REQUIR_CUDA_VERSION="10020" REQUIR_CUDNN_VERSION="8.2.1" REQUIR_TENSORRT_VERSION="8.0.1.6" REQUIR_CUBLAS_VERSION="10.2.3.300" CUDA_COPY_LIB_LIST="\ ${CUDA_LIB_DIR}/libnvrtc.so.10.2:\ ${CUDA_LIB_DIR}/libcublasLt.so.10:\ ${CUDA_LIB_DIR}/libcublas.so.10:\ ${CUDNN_LIB_DIR}/libcudnn_adv_infer.so.8:\ ${CUDNN_LIB_DIR}/libcudnn_adv_train.so.8:\ ${CUDNN_LIB_DIR}/libcudnn_cnn_infer.so.8:\ ${CUDNN_LIB_DIR}/libcudnn_cnn_train.so.8:\ ${CUDNN_LIB_DIR}/libcudnn_ops_infer.so.8:\ ${CUDNN_LIB_DIR}/libcudnn_ops_train.so.8:\ ${CUDNN_LIB_DIR}/libcudnn.so.8" if [ ${machine} == "aarch64" ];then CUDA_COPY_LIB_LIST="\ ${CUDA_LIB_DIR}/libcupti.so.10.2:\ ${CUDA_COPY_LIB_LIST}" fi EXTRA_CMAKE_FLAG="-DMGE_WITH_CUDNN_SHARED=ON -DMGE_WITH_CUBLAS_SHARED=ON -DMGE_CUDA_GENCODE=\"-gencode arch=compute_53,code=sm_53\" " elif [ $SDK_NAME == "cu111" ];then BUILD_GCC8="ON" if [ ${machine} == "aarch64" ];then REQUIR_CUDA_VERSION="11010" REQUIR_CUDNN_VERSION="8.0.5" REQUIR_TENSORRT_VERSION="7.2.1.6" REQUIR_CUBLAS_VERSION="11.3.0.106" elif [ ${machine} == "x86_64" ];then REQUIR_CUDA_VERSION="11010" REQUIR_CUDNN_VERSION="8.0.4" REQUIR_TENSORRT_VERSION="7.2.2.3" REQUIR_CUBLAS_VERSION="11.2.1.74" else echo "no support machine: ${machine}" exit -1 fi CUDA_COPY_LIB_LIST="\ ${CUDA_LIB_DIR}/libnvrtc.so.11.1:\ ${CUDA_LIB_DIR}/libcublasLt.so.11:\ ${CUDA_LIB_DIR}/libcublas.so.11:\ ${CUDNN_LIB_DIR}/libcudnn_adv_infer.so.8:\ ${CUDNN_LIB_DIR}/libcudnn_adv_train.so.8:\ ${CUDNN_LIB_DIR}/libcudnn_cnn_infer.so.8:\ ${CUDNN_LIB_DIR}/libcudnn_cnn_train.so.8:\ ${CUDNN_LIB_DIR}/libcudnn_ops_infer.so.8:\ ${CUDNN_LIB_DIR}/libcudnn_ops_train.so.8:\ ${CUDNN_LIB_DIR}/libcudnn.so.8" if [ ${machine} == "aarch64" ];then CUDA_COPY_LIB_LIST="\ ${CUDA_LIB_DIR}/libcupti.so.11.1:\ ${CUDA_COPY_LIB_LIST}" fi if [ ${IN_CI} = "true" ] && [ ${machine} == "aarch64" ]; then EXTRA_CMAKE_FLAG=" -DMGE_WITH_CUDNN_SHARED=ON -DMGE_WITH_CUBLAS_SHARED=ON -DMGE_CUDA_GENCODE=\"-gencode arch=compute_75,code=sm_75\" " else EXTRA_CMAKE_FLAG=" -DMGE_WITH_CUDNN_SHARED=ON -DMGE_WITH_CUBLAS_SHARED=ON \ -DMGE_CUDA_GENCODE=\"-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_86,code=compute_86\" " fi elif [ $SDK_NAME == "cu112" ];then BUILD_GCC8="ON" CUDA_COPY_LIB_LIST="\ ${CUDA_LIB_DIR}/libnvrtc.so.11.2:\ ${CUDA_LIB_DIR}/libcublasLt.so.11:\ ${CUDA_LIB_DIR}/libcublas.so.11:\ ${CUDNN_LIB_DIR}/libcudnn_adv_infer.so.8:\ ${CUDNN_LIB_DIR}/libcudnn_adv_train.so.8:\ ${CUDNN_LIB_DIR}/libcudnn_cnn_infer.so.8:\ ${CUDNN_LIB_DIR}/libcudnn_cnn_train.so.8:\ ${CUDNN_LIB_DIR}/libcudnn_ops_infer.so.8:\ ${CUDNN_LIB_DIR}/libcudnn_ops_train.so.8:\ ${CUDNN_LIB_DIR}/libcudnn.so.8" EXTRA_CMAKE_FLAG=" -DMGE_WITH_CUDNN_SHARED=ON -DMGE_WITH_CUBLAS_SHARED=ON \ -DMGE_CUDA_GENCODE=\"-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_86,code=compute_86\" " REQUIR_CUDA_VERSION="11020" REQUIR_CUDNN_VERSION="8.0.4" REQUIR_TENSORRT_VERSION="7.2.2.3" REQUIR_CUBLAS_VERSION="11.3.1.68" elif [ $SDK_NAME == "cpu" ];then echo "use $SDK_NAME without cuda support" BUILD_WHL_CPU_ONLY="ON" else echo "no support sdk ${SDK_NAME}" usage exit -1 fi if [[ -z ${BUILD_WHL_CPU_ONLY} ]] then BUILD_WHL_CPU_ONLY="OFF" fi echo ${BASEDIR} pushd ${BASEDIR}/third_party >/dev/null ./prepare.sh popd >/dev/null cd ${CWD} mkdir -p ${OUTPUTDIR} if [ ${BUILD_WHL_CPU_ONLY} = "OFF" ]; then if [[ -z ${CUDA_ROOT_DIR} ]]; then echo "Environment variable CUDA_ROOT_DIR not set." exit -1 fi if [[ -z ${CUDNN_ROOT_DIR} ]]; then echo "Environment variable CUDNN_ROOT_DIR not set." exit -1 fi if [[ -z ${TENSORRT_ROOT_DIR} ]]; then echo "Environment variable TENSORRT_ROOT_DIR not set." if [[ -z ${TRT_ROOT_DIR} ]]; then echo "Environment variable TRT_ROOT_DIR not set." exit -1 else echo "put ${TRT_ROOT_DIR} to TENSORRT_ROOT_DIR env" TENSORRT_ROOT_DIR=${TRT_ROOT_DIR} fi fi ## YOU SHOULD MODIFY CUDA VERSION AS BELOW WHEN UPGRADE CUDA_ROOT_DIR_=${CUDA_ROOT_DIR%*/} CUDNN_ROOT_DIR_=${CUDNN_ROOT_DIR%*/} TENSORRT_ROOT_DIR_=${TENSORRT_ROOT_DIR%*/} CUBLAS_VERSION_PATH=${CUDA_ROOT_DIR_}/include/cublas_api.h CUDA_VERSION_PATH=${CUDA_ROOT_DIR_}/include/cuda.h if [ -e ${CUDNN_ROOT_DIR_}/include/cudnn_version.h ];then CUDNN_VERSION_PATH=${CUDNN_ROOT_DIR_}/include/cudnn_version.h elif [ -e ${CUDNN_ROOT_DIR_}/include/cudnn.h ];then CUDNN_VERSION_PATH=${CUDNN_ROOT_DIR_}/include/cudnn.h else echo "cannot determine CUDNN_VERSION_PATH from CUDNN_ROOT_DIR." exit -1 fi TENSORRT_VERSION_PATH=${TENSORRT_ROOT_DIR_}/include/NvInferVersion.h if [ ! -e $CUDA_VERSION_PATH ] ; then echo file $CUDA_VERSION_PATH is not exist echo please check the Environment must use CUDA-$REQUIR_CUDA_VERSION exit -1 fi if [ ! -e $CUDNN_VERSION_PATH ] ; then echo file $CUDNN_VERSION_PATH is not exist echo please check the Environment must use CUDNN-V$REQUIR_CUDNN_VERSION exit -1 fi if [ ! -e $TENSORRT_VERSION_PATH ] ; then echo file $TENSORRT_VERSION_PATH is not exist echo please check the Environment must use TensorRT-$REQUIR_TENSORRT_VERSION exit -1 fi if [ ! -e $CUBLAS_VERSION_PATH ] ; then echo file $CUBLAS_VERSION_PATH is not exist exit -1 fi CUBLAS_VERSION_CONTEXT=$(head -150 ${CUBLAS_VERSION_PATH}) CUDA_VERSION_CONTEXT=$(head -300 ${CUDA_VERSION_PATH}) CUDNN_VERSION_CONTEXT=$(head -62 ${CUDNN_VERSION_PATH}) TENSORRT_VERSION_CONTEXT=$(tail -12 ${TENSORRT_VERSION_PATH}) if [ "$REQUIR_CUDA_VERSION" -ge "11000" ];then CUDA_API_VERSION=$(echo $CUDA_VERSION_CONTEXT | grep -Eo "define CUDA_VERSION * +([0-9]+)") else CUDA_API_VERSION=$(echo $CUDA_VERSION_CONTEXT | grep -Eo "define __CUDA_API_VERSION * +([0-9]+)") fi CUDA_VERSION=${CUDA_API_VERSION:0-5} echo CUDA_VERSION:$CUDA_VERSION CUDNN_VERSION_MAJOR=$(echo $CUDNN_VERSION_CONTEXT | grep -Eo "define CUDNN_MAJOR * +([0-9]+)") CUDNN_VERSION_MINOR=$(echo $CUDNN_VERSION_CONTEXT | grep -Eo "define CUDNN_MINOR * +([0-9]+)") CUDNN_VERSION_PATCH=$(echo $CUDNN_VERSION_CONTEXT | grep -Eo "define CUDNN_PATCHLEVEL * +([0-9]+)") CUDNN_VERSION=${CUDNN_VERSION_MAJOR:0-1}.${CUDNN_VERSION_MINOR:0-1}.${CUDNN_VERSION_PATCH:0-1} echo CUDNN_VERSION:$CUDNN_VERSION TENSORRT_VERSION_MAJOR=$(echo $TENSORRT_VERSION_CONTEXT | grep -Eo "NV_TENSORRT_MAJOR * +([0-9]+)") TENSORRT_VERSION_MINOR=$(echo $TENSORRT_VERSION_CONTEXT | grep -Eo "NV_TENSORRT_MINOR * +([0-9]+)") TENSORRT_VERSION_PATCH=$(echo $TENSORRT_VERSION_CONTEXT | grep -Eo "NV_TENSORRT_PATCH * +([0-9]+)") TENSORRT_VERSION_BUILD=$(echo $TENSORRT_VERSION_CONTEXT | grep -Eo "NV_TENSORRT_BUILD * +([0-9]+)") TENSORRT_VERSION=${TENSORRT_VERSION_MAJOR:0-1}.${TENSORRT_VERSION_MINOR:0-1}.${TENSORRT_VERSION_PATCH:0-1}.${TENSORRT_VERSION_BUILD:0-1} echo TENSORRT_VERSION:$TENSORRT_VERSION CUBLAS_VERSION_MAJOR=$(echo $CUBLAS_VERSION_CONTEXT | grep -Eo "define CUBLAS_VER_MAJOR * +([0-9]+)" | grep -Eo "*+([0-9]+)") CUBLAS_VERSION_MINOR=$(echo $CUBLAS_VERSION_CONTEXT | grep -Eo "define CUBLAS_VER_MINOR * +([0-9]+)" | grep -Eo "*+([0-9]+)") CUBLAS_VERSION_PATCH=$(echo $CUBLAS_VERSION_CONTEXT | grep -Eo "define CUBLAS_VER_PATCH * +([0-9]+)" | grep -Eo "*+([0-9]+)") CUBLAS_VERSION_BUILD=$(echo $CUBLAS_VERSION_CONTEXT | grep -Eo "define CUBLAS_VER_BUILD * +([0-9]+)" | grep -Eo "*+([0-9]+)") CUBLAS_VERSION=${CUBLAS_VERSION_MAJOR}.${CUBLAS_VERSION_MINOR}.${CUBLAS_VERSION_PATCH}.${CUBLAS_VERSION_BUILD} echo CUBLAS_VERSION:$CUBLAS_VERSION if [ $CUDA_VERSION != $REQUIR_CUDA_VERSION ] ; then echo please check the Environment must use CUDA NO.$REQUIR_CUDA_VERSION exit -1 fi if [ $CUDNN_VERSION != $REQUIR_CUDNN_VERSION ] ; then echo please check the Environment must use CUDNN-V$REQUIR_CUDNN_VERSION exit -1 fi if [ $TENSORRT_VERSION != $REQUIR_TENSORRT_VERSION ] ; then echo please check the Environment must use TENSORRT-$REQUIR_TENSORRT_VERSION exit -1 fi if [ $CUBLAS_VERSION != $REQUIR_CUBLAS_VERSION ] ; then echo please check the Environment must use CUBLAS-$REQUIR_CUBLAS_VERSION exit -1 fi fi if [[ -z ${BUILD_GCC8} ]];then BUILD_GCC8=OFF fi if [ ${machine} == "aarch64" ];then # manylinux on aarch64 gcc9 is: (GCC) 9.3.1 20200408 (Red Hat 9.3.1-2) # which version has issue: 'as' take a long long long time for some dnn kernel! # infact ubuntu gcc version: gcc (Ubuntu 9.3.0-17ubuntu1~20.04) 9.3.0 is OK echo "force use gcc8 on aarch64 linux" BUILD_GCC8="ON" fi if [ "$BUILD_GCC8" == "ON" ];then run_cmd="scl enable devtoolset-8 /home/code/scripts/whl/manylinux2014/do_build_common.sh" else run_cmd="/home/code/scripts/whl/manylinux2014/do_build_common.sh" fi set +x docker_args="-it" if [ -z "${CI_SERVER_NAME}" ]; then CI_SERVER_NAME="null" fi if [ ${CI_SERVER_NAME} = "GitLab" ];then docker_args="-i" fi if [ ${IN_CI} = "true" ];then EXTRA_CMAKE_FLAG=" ${EXTRA_CMAKE_FLAG} -DMGE_WITH_TEST=ON" fi docker run --rm ${docker_args} $TMPFS_ARGS \ -e UID=${USERID} \ -e PUBLIC_VERSION_POSTFIX=${PUBLIC_VERSION_POSTFIX} \ -e LOCAL_VERSION=${LOCAL_VERSION} \ -e STRIP_SDK_INFO=${STRIP_SDK_INFO} \ -e BUILD_WHL_CPU_ONLY=${BUILD_WHL_CPU_ONLY} \ -e ALL_PYTHON="${ALL_PYTHON}" \ -e EXTRA_CMAKE_FLAG="$EXTRA_CMAKE_FLAG" \ -e CUDA_COPY_LIB_LIST="$CUDA_COPY_LIB_LIST" \ -e SDK_NAME="$SDK_NAME" \ -e CUDA_ROOT_DIR="/usr/local/cuda" \ -e CUDNN_ROOT_DIR="/opt/cudnn" \ -e TRT_ROOT_DIR="/opt/tensorrt" \ -v ${CUDA_ROOT_DIR}:/usr/local/cuda \ -v ${CUDNN_ROOT_DIR}:/opt/cudnn \ -v ${TENSORRT_ROOT_DIR}:/opt/tensorrt \ -v ${BASEDIR}:/home/code \ -v ${OUTPUTDIR}:/home/output:rw \ env_manylinux2014:latest /bin/bash -c "$run_cmd"