mindspore/scripts/install/euleros-ascend-pip.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 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 ${LOCAL_ASCEND}/ascend-toolkit/latest/fwkacllib/lib64/topi-*-py3-none-any.whl 1> /dev/null 2>&1); then
echo "can not find whl packages in LOCAL_ASCEND=${LOCAL_ASCEND}, please check whether it is a valid path."
exit 1
fi
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/topi-*-py3-none-any.whl
pip install ${LOCAL_ASCEND}/ascend-toolkit/latest/fwkacllib/lib64/te-*-py3-none-any.whl
pip install ${LOCAL_ASCEND}/ascend-toolkit/latest/fwkacllib/lib64/hccl-*-py3-none-any.whl
# optional openmpi for distributed training
if [[ X"$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 $origin_wd
fi
ARCH=`uname -m`
pip install https://ms-release.obs.cn-north-4.myhuaweicloud.com/${MINDSPORE_VERSION}/MindSpore/ascend/${ARCH}/mindspore_ascend-${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