#!/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 and Install mindspore ascend by pip on EulerOS 2.8.
#
# This file will:
#   - install mindspore dependencies via apt like gcc, libgmp
#   - install conda and set up environment for mindspore
#
# Augments:
#   - PYTHON_VERSION: python version to set up. [3.7(default), 3.8, 3.9]
#   - MINDSPORE_VERSION: mindspore version to install, >=1.6.0, required
#   - LOCAL_ASCEND: Ascend AI software package installed path, default /usr/local/Ascend.
#   - OPENMPI: whether to install optional package Open MPI for distributed training. [on, off(default)]
#
# Usage:
#   Run script like `MINDSPORE_VERSION=1.7.0 bash ./euleros-ascend-pip.sh`.
#   To set augments, run it as `PYTHON_VERSION=3.9 MINDSPORE_VERSION=1.6.0 bash ./euleros-ascend-pip.sh`.

set -e

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

version_less() {
    test "$(echo "$@" | tr ' ' '\n' | sort -rV | head -n 1)" != "$1";
}

if [ $MINDSPORE_VERSION == "EMPTY" ] || version_less "${MINDSPORE_VERSION}" "1.6.0"; then
    echo "MINDSPORE_VERSION should be >=1.6.0, please check available versions at https://www.mindspore.cn/versions."
    exit 1
fi

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

declare -A version_map=()
version_map["3.7"]="${MINDSPORE_VERSION/-/}-cp37-cp37m"
version_map["3.8"]="${MINDSPORE_VERSION/-/}-cp38-cp38"
version_map["3.9"]="${MINDSPORE_VERSION/-/}-cp39-cp39"

# 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 gmp-devel -y

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##*.}
conda create -n $env_name python=${PYTHON_VERSION} -c conda-forge -y
conda activate $env_name

pip install sympy
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

# 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/v4.1/openmpi-4.1.4.tar.gz
    tar xzf openmpi-4.1.4.tar.gz
    cd openmpi-4.1.4
    ./configure --prefix=$HOME/openmpi-4.1.4
    make
    sudo make install
    add_env PATH $HOME/openmpi-4.1.4/bin
    add_env LD_LIBRARY_PATH $HOME/openmpi-4.1.4/lib
    cd $origin_wd
fi

ARCH=`uname -m`
pip install https://ms-release.obs.cn-north-4.myhuaweicloud.com/${MINDSPORE_VERSION}/MindSpore/unified/${ARCH}/mindspore-${version_map["$PYTHON_VERSION"]}-linux_${ARCH}.whl --trusted-host ms-release.obs.cn-north-4.myhuaweicloud.com -i https://pypi.tuna.tsinghua.edu.cn/simple