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

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#!/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."