build.sh

#!/usr/bin/env bash

# Copyright (c) 2021 CINN Authors. All Rights Reserved.
# 
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# 
#     http://www.apache.org/licenses/LICENSE-2.0
# 
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

set -ex
workspace=$PWD
build_dir_name=${cinn_build:-build}
build_dir=$workspace/${build_dir_name}
py_version=${py_version:-3.6}
cinn_whl_path=python/dist/cinn-0.0.0-py3-none-any.whl

#export LLVM11_DIR=${workspace}/THIRDS/usr

JOBS=8
cuda_config=OFF
cudnn_config=OFF

mklcblas_config=ON
mkldnn_config=ON

function mklcblas_off {
  mklcblas_config=OFF
}
function mkldnn_off {
  mkldnn_config=OFF
}


function gpu_on {
  cinn_whl_path=python/dist/cinn_gpu-0.0.0-py3-none-any.whl
  cuda_config=ON
  cudnn_config=ON
}

function test_doc {
    mkdir -p $build_dir
    cd $build_dir
    export runtime_include_dir=$workspace/cinn/runtime/cuda

    prepare_ci
    cmake_
    build
    make_doc
}

function cudnn_off {
  cudnn_config=OFF
}

OLD_HTTP_PROXY=$http_proxy &> /dev/null
OLD_HTTPS_PROXY=$https_proxy &> /dev/null
function proxy_off {
  unset http_proxy &> /dev/null
  unset https_proxy &> /dev/null
}
function proxy_on {
  export http_proxy=$OLD_HTTP_PROXY &> /dev/null
  export https_proxy=$OLD_HTTPS_PROXY &> /dev/null
}

function prepare_ci {
  cd $workspace
  proxy_on
  if [[ ! -z ${PULL_ID} ]]; then
    # in ci environment, we use aliyun ubuntu mirror, thus turn off proxy
    proxy_off
  fi

  if [[ $(command -v python) == $build_dir/ci-env/bin/python ]]; then
    return
  elif [[ -e $build_dir/ci-env/bin/activate ]]; then
    source $build_dir/ci-env/bin/activate
    return
  fi

  # NVIDIA update GPG key on 04/29/2022. Fetch the public key for CI machine
  # Reference: https://developer.nvidia.com/blog/updating-the-cuda-linux-gpg-repository-key/
  apt-key adv --keyserver-options http-proxy=$http_proxy --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub

  apt update
  echo "the current user EUID=$EUID: $(whoami)"
  if ! command -v doxygen &> /dev/null; then
    apt install -y doxygen
  fi

  if ! command -v python${py_version}-config &> /dev/null; then
    apt install -y python${py_version}-dev
  fi

  if ! python${py_version} -m venv $build_dir/ci-env &> /dev/null; then
    apt install -y python${py_version}-venv
    python${py_version} -m venv $build_dir/ci-env
  fi
  source $build_dir/ci-env/bin/activate
  pip install -U pip
  pip install pre-commit
  pip install clang-format==9.0
  pip install wheel
  pip install sphinx==3.3.1 sphinx_gallery==0.8.1 recommonmark==0.6.0 exhale scipy breathe==4.24.0 matplotlib sphinx_rtd_theme
  pip install paddlepaddle-gpu==2.3.1.post101 -f https://www.paddlepaddle.org.cn/whl/linux/mkl/avx/stable.html
}

function prepare_doc_model_file {
    proxy_off
    local tar_file=$1
    if [[ -f "$tar_file.tar.gz" ]]; then
        echo "model file $tar_file.tar.gz for tutorials already downloaded."
    elif [[ -f "$build_dir/thirds/$tar_file.tar.gz" ]]; then
        rm -rf $workspace/tutorials/$tar_file
        ln -s $build_dir/thirds/$tar_file $workspace/tutorials/$tar_file
    else
        wget https://paddle-inference-dist.bj.bcebos.com/CINN/$tar_file.tar.gz
        tar -zxvf $tar_file.tar.gz
    fi
}

function make_doc {
    proxy_off
    cd $workspace/tutorials
    prepare_doc_model_file ResNet50
    prepare_doc_model_file MobileNetV2
    prepare_doc_model_file EfficientNet
    prepare_doc_model_file FaceDet

    if [[ $cuda_config == "ON" && ! -d "./is_cuda" ]]; then
        mkdir is_cuda
    fi
    if [[ $cuda_config == "OFF" && -d "./is_cuda" ]]; then
        rm -rf ./is_cuda
    fi
    cd $build_dir
    rm -f $workspace/python/cinn/core_api.so
    ln -s $build_dir/cinn/pybind/core_api.so $workspace/python/cinn/
    cd $workspace/docs
    mkdir -p docs/source/cpp
    cat $workspace/tutorials/matmul.cc | python${py_version} $workspace/tools/gen_c++_tutorial.py > $workspace/docs/source/matmul.md
    cat $workspace/tutorials/load_paddle_model.cc | python${py_version} $workspace/tools/gen_c++_tutorial.py > $workspace/docs/source/load_paddle_model.md
    make html
}

function cmake_ {
    proxy_off
    mkdir -p $build_dir
    cp $workspace/cmake/config.cmake $build_dir
    # To enable Cuda backend, set(WITH_CUDA ON)
    echo "set(WITH_CUDA $cuda_config)" >> $build_dir/config.cmake
    echo "set(WITH_CUDNN $cudnn_config)" >> $build_dir/config.cmake
    echo "set(WITH_MKL_CBLAS ON)" >> $build_dir/config.cmake
    echo "set(WITH_MKL_CBLAS $mklcblas_config)" >> $build_dir/config.cmake
    echo "set(WITH_MKLDNN $mkldnn_config)" >> $build_dir/config.cmake
    cd $build_dir
    cmake ${workspace} -DPUBLISH_LIBS=ON -DWITH_TESTING=ON -DPY_VERSION=${py_version}
}

function _download_and_untar {
    proxy_off
    local tar_file=$1
    if [[ ! -f $tar_file ]]; then
        wget https://paddle-inference-dist.bj.bcebos.com/CINN/$tar_file
        tar -zxvf $tar_file
    fi
}

function prepare_model {
    proxy_off
    cd $build_dir/thirds

    _download_and_untar ResNet18.tar.gz
    _download_and_untar MobileNetV2.tar.gz
    _download_and_untar EfficientNet.tar.gz
    _download_and_untar MobilenetV1.tar.gz
    _download_and_untar ResNet50.tar.gz
    _download_and_untar SqueezeNet.tar.gz
    _download_and_untar FaceDet.tar.gz

    proxy_on
    mkdir -p $build_dir/paddle
    cd $build_dir/paddle
    if [[ ! -f "libexternal_kernels.so.tgz" ]]; then
        wget https://github.com/T8T9/files/raw/main/libexternal_kernels.so.tgz
    fi
    tar -zxvf libexternal_kernels.so.tgz
    if [[ ! -f "paddle_1.8_fc_model.tgz" ]]; then
        wget https://github.com/T8T9/files/raw/main/paddle_1.8_fc_model.tgz
    fi
    tar -zxvf paddle_1.8_fc_model.tgz
    if [[ ! -f "mkldnn.tgz" ]]; then
        wget https://github.com/T8T9/files/raw/main/mkldnn.tgz
    fi
    tar -zxvf mkldnn.tgz
    cd $build_dir/thirds
    python $workspace/python/tests/fake_model/naive_mul.py
    python $workspace/python/tests/fake_model/naive_multi_fc.py
    python $workspace/python/tests/fake_model/resnet_model.py
}

function codestyle_check {
    proxy_on
    cd $workspace
    pre-commit run -a
    if ! git diff-index --quiet HEAD --; then

        echo "Code is dirty, please run 'pre-commit run -a' to reformat the code changes"
        exit -1
    fi
}

function build {
    proxy_on
    cd $build_dir

    make -j $JOBS

    ls python/dist
    pip${py_version} install xgboost
    pip${py_version} install -U ${cinn_whl_path}
}

function run_demo {
    cd $build_dir/dist
    export runtime_include_dir=$workspace/cinn/runtime/cuda
    export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$build_dir/dist/cinn/lib
    bash build_demo.sh
    ./demo
    rm ./demo
    cd -
}

function run_test {
    cd $build_dir
    export runtime_include_dir=$workspace/cinn/runtime/cuda
    if [ ${TESTING_DEBUG_MODE:-OFF} == "ON" ] ; then
        ctest --parallel 10 -V
    else
        ctest --parallel 10 --output-on-failure
    fi
}

function CI {
    mkdir -p $build_dir
    cd $build_dir
    export runtime_include_dir=$workspace/cinn/runtime/cuda

    prepare_ci
    codestyle_check

    cmake_
    build
    run_demo
    prepare_model
    run_test
    # make_doc
}

function CINNRT {
    mkdir -p $build_dir
    cd $build_dir
    export runtime_include_dir=$workspace/cinn/runtime/cuda

    prepare_ci
    codestyle_check

    proxy_off
    mkdir -p $build_dir
    cp $workspace/cmake/config.cmake $build_dir
    # To enable Cuda backend, set(WITH_CUDA ON)
    echo "set(WITH_CUDA $cuda_config)" >> $build_dir/config.cmake
    echo "set(WITH_CUDNN $cudnn_config)" >> $build_dir/config.cmake
    echo "set(WITH_MKL_CBLAS ON)" >> $build_dir/config.cmake
    cd $build_dir
    cmake .. -DPUBLISH_LIBS=ON -DWITH_TESTING=ON

    make cinnopt -j $JOBS
}

function main {
    # Parse command line.
    for i in "$@"; do
        case $i in
            mklcblas_off)
                mklcblas_off
                mkldnn_off
                shift
                ;;
            mkldnn_off)
                mkldnn_off
                shift
                ;;
            gpu_on)
                gpu_on
                shift
                ;;
            cudnn_off)
                cudnn_off
                shift
                ;;
            check_style)
                codestyle_check
                shift
                ;;
            cmake)
                cmake_
                shift
                ;;
            build)
                build
                shift
                ;;
            test)
                run_test
                shift
                ;;
            test_doc)
                test_doc
                shift
                ;;
            ci)
                CI
                shift
                ;;
            CINNRT)
               CINNRT
               shift
                ;;
            prepare_model)
                prepare_model
                shift
                ;;
        esac
    done
}

main $@