mindspore2022/scripts/install/euleros-ascend-source.sh

#!/bin/bash
# Copyright 2022 Huawei Technologies Co., Ltd
#
# 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.
# ============================================================================

# Prepare environment for mindspore ascend compilation on EulerOS 2.8.
#
# This file will:
#   - install mindspore dependencies via apt like gcc, cmake
#   - install conda and set up environment for mindspore
#
# Augments:
#   - PYTHON_VERSION: python version to set up. [3.7(default), 3.8, 3.9]
#   - OPENMPI: whether to install optional package Open MPI for distributed training. [on, off(default)]
#   - LOCAL_ASCEND: Ascend AI software package installed path, default /usr/local/Ascend.
#
# Usage:
#   Run script like `bash -i ./euleros-ascend-source.sh`.
#   To set augments, run it as `PYTHON_VERSION=3.9 bash -i ./euleros-ascend-source.sh`.

set -e

PYTHON_VERSION=${PYTHON_VERSION:-3.7}
OPENMPI=${OPENMPI:-off}
LOCAL_ASCEND=${LOCAL_ASCEND:-/usr/local/Ascend}

available_py_version=(3.7 3.8 3.9)
if [[ " ${available_py_version[*]} " != *" $PYTHON_VERSION "* ]]; then
    echo "PYTHON_VERSION is '$PYTHON_VERSION', but available versions are [${available_py_version[*]}]."
    exit 1
fi

if ! (ls ${LOCAL_ASCEND}/ascend-toolkit/latest/fwkacllib/lib64/topi-*-py3-none-any.whl 1> /dev/null 2>&1); then
    echo "can not find whl packages in LOCAL_ASCEND=${LOCAL_ASCEND}, please check whether it is a valid path."
    exit 1
fi

# add value to environment variable if value is not in it
add_env() {
    local name=$1
    if [[ ":${!name}:" != *":$2:"* ]]; then
        echo -e "export $1=$2:\$$1" >> ~/.bashrc
    fi
}

sudo yum install gcc git gmp-devel tcl patch numactl-devel flex -y

# git-lfs
set +e && type git-lfs &>/dev/null
if [[ $? -eq 0 ]]; then
    echo "git-lfs has been installed, skip."
else
    echo "installing git-lfs"
    cd /tmp
    if [[ "$(arch)" == "aarch64" ]]; then
        file_name=git-lfs-linux-arm64-v3.1.2.tar.gz
    else
        file_name=git-lfs-linux-amd64-v3.1.2.tar.gz
    fi
    curl -OL https://github.com/git-lfs/git-lfs/releases/download/v3.1.2/$file_name
    mkdir $HOME/git-lfs
    tar xf $file_name -C $HOME/git-lfs
    add_env PATH $HOME/git-lfs
    source ~/.bashrc
    cd -
    git lfs install
fi
set -e

install_conda() {
    echo "installing Miniconda3"
    conda_file_name="Miniconda3-py3${PYTHON_VERSION##*.}_4.10.3-Linux-$(arch).sh"
    cd /tmp
    curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/$conda_file_name
    bash $conda_file_name -b
    cd -
    . ~/miniconda3/etc/profile.d/conda.sh
    conda init bash
    # setting up conda mirror with tsinghua source
    cat >~/.condarc <<END
channels:
  - defaults
show_channel_urls: true
default_channels:
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2
custom_channels:
  conda-forge: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  msys2: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  bioconda: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  menpo: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  simpleitk: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
END
}

# install conda
set +e && type conda &>/dev/null
if [[ $? -eq 0 ]]; then
    echo "conda has been installed, skip."
    source "$(conda info --base)"/etc/profile.d/conda.sh
else
    install_conda
fi
set -e

# set up conda env
env_name=mindspore_py3${PYTHON_VERSION##*.}
# constraint openssl when py3.9+310
openssl_constraint=""
if [[ "$PYTHON_VERSION" == "3.9" ]]; then
    openssl_constraint="openssl=1.1.1"
fi
conda create -n $env_name python=${PYTHON_VERSION} ${openssl_constraint} -c conda-forge -y
conda activate $env_name

pip install wheel
pip install -U setuptools

pip install sympy
pip install ${LOCAL_ASCEND}/ascend-toolkit/latest/fwkacllib/lib64/topi-*-py3-none-any.whl
pip install ${LOCAL_ASCEND}/ascend-toolkit/latest/fwkacllib/lib64/te-*-py3-none-any.whl
pip install ${LOCAL_ASCEND}/ascend-toolkit/latest/fwkacllib/lib64/hccl-*-py3-none-any.whl

# cmake
echo "installing cmake"
cd /tmp
cmake_file_name="cmake-3.19.8-Linux-$(arch).sh"
curl -O "https://cmake.org/files/v3.19/${cmake_file_name}"
mkdir $HOME/cmake-3.19.8
bash cmake-3.19.8-Linux-*.sh --prefix=$HOME/cmake-3.19.8 --exclude-subdir
add_env PATH $HOME/cmake-3.19.8/bin
set +e && source ~/.bashrc
set -e
cd -

# optional openmpi for distributed training
if [[ X"$OPENMPI" == "Xon" ]]; then
    echo "installing openmpi"
    origin_wd=$PWD
    cd /tmp
    curl -O https://download.open-mpi.org/release/open-mpi/v4.0/openmpi-4.0.3.tar.gz
    tar xzf openmpi-4.0.3.tar.gz
    cd openmpi-4.0.3
    ./configure --prefix=$HOME/openmpi-4.0.3
    make
    sudo make install
    add_env PATH $HOME/openmpi-4.0.3/bin
    add_env LD_LIBRARY_PATH $HOME/openmpi-4.0.3/lib
    cd $origin_wd
fi

echo "The environment is ready to clone and compile mindspore."