forked from mindspore-Ecosystem/mindspore
165 lines
5.3 KiB
Bash
165 lines
5.3 KiB
Bash
#!/bin/bash
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# Copyright 2022 Huawei Technologies Co., Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ============================================================================
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# Prepare environment for mindspore ascend compilation on EulerOS 2.8.
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#
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# This file will:
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# - install mindspore dependencies via apt like gcc, cmake
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# - install conda and set up environment for mindspore
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#
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# Augments:
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# - PYTHON_VERSION: python version to set up. [3.7(default), 3.8, 3.9]
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# - OPENMPI: whether to install optional package Open MPI for distributed training. [on, off(default)]
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# - LOCAL_ASCEND: Ascend AI software package installed path, default /usr/local/Ascend.
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#
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# Usage:
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# Run script like `bash -i ./euleros-ascend-source.sh`.
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# To set augments, run it as `PYTHON_VERSION=3.9 bash -i ./euleros-ascend-source.sh`.
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set -e
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PYTHON_VERSION=${PYTHON_VERSION:-3.7}
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OPENMPI=${OPENMPI:-off}
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LOCAL_ASCEND=${LOCAL_ASCEND:-/usr/local/Ascend}
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available_py_version=(3.7 3.8 3.9)
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if [[ " ${available_py_version[*]} " != *" $PYTHON_VERSION "* ]]; then
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echo "PYTHON_VERSION is '$PYTHON_VERSION', but available versions are [${available_py_version[*]}]."
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exit 1
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fi
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if ! (ls ${LOCAL_ASCEND}/ascend-toolkit/latest/fwkacllib/lib64/topi-*-py3-none-any.whl 1> /dev/null 2>&1); then
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echo "can not find whl packages in LOCAL_ASCEND=${LOCAL_ASCEND}, please check whether it is a valid path."
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exit 1
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fi
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# add value to environment variable if value is not in it
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add_env() {
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local name=$1
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if [[ ":${!name}:" != *":$2:"* ]]; then
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echo -e "export $1=$2:\$$1" >> ~/.bashrc
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fi
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}
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sudo yum install gcc git gmp-devel tcl patch numactl-devel flex -y
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# git-lfs
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set +e && type git-lfs &>/dev/null
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if [[ $? -eq 0 ]]; then
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echo "git-lfs has been installed, skip."
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else
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echo "installing git-lfs"
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cd /tmp
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if [[ "$(arch)" == "aarch64" ]]; then
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file_name=git-lfs-linux-arm64-v3.1.2.tar.gz
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else
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file_name=git-lfs-linux-amd64-v3.1.2.tar.gz
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fi
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curl -OL https://github.com/git-lfs/git-lfs/releases/download/v3.1.2/$file_name
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mkdir $HOME/git-lfs
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tar xf $file_name -C $HOME/git-lfs
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add_env PATH $HOME/git-lfs
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source ~/.bashrc
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cd -
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git lfs install
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fi
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set -e
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install_conda() {
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echo "installing Miniconda3"
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conda_file_name="Miniconda3-py3${PYTHON_VERSION##*.}_4.10.3-Linux-$(arch).sh"
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cd /tmp
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curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/$conda_file_name
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bash $conda_file_name -b
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cd -
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. ~/miniconda3/etc/profile.d/conda.sh
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conda init bash
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# setting up conda mirror with tsinghua source
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cat >~/.condarc <<END
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channels:
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- defaults
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show_channel_urls: true
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default_channels:
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- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
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- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r
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- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2
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custom_channels:
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conda-forge: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
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msys2: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
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bioconda: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
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menpo: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
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simpleitk: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
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END
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}
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# install conda
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set +e && type conda &>/dev/null
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if [[ $? -eq 0 ]]; then
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echo "conda has been installed, skip."
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source "$(conda info --base)"/etc/profile.d/conda.sh
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else
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install_conda
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fi
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set -e
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# set up conda env
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env_name=mindspore_py3${PYTHON_VERSION##*.}
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# constraint openssl when py3.9+310
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openssl_constraint=""
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if [[ "$PYTHON_VERSION" == "3.9" ]]; then
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openssl_constraint="openssl=1.1.1"
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fi
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conda create -n $env_name python=${PYTHON_VERSION} ${openssl_constraint} -c conda-forge -y
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conda activate $env_name
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pip install wheel
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pip install -U setuptools
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pip install sympy
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pip install ${LOCAL_ASCEND}/ascend-toolkit/latest/fwkacllib/lib64/topi-*-py3-none-any.whl
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pip install ${LOCAL_ASCEND}/ascend-toolkit/latest/fwkacllib/lib64/te-*-py3-none-any.whl
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pip install ${LOCAL_ASCEND}/ascend-toolkit/latest/fwkacllib/lib64/hccl-*-py3-none-any.whl
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# cmake
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echo "installing cmake"
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cd /tmp
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cmake_file_name="cmake-3.19.8-Linux-$(arch).sh"
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curl -O "https://cmake.org/files/v3.19/${cmake_file_name}"
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mkdir $HOME/cmake-3.19.8
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bash cmake-3.19.8-Linux-*.sh --prefix=$HOME/cmake-3.19.8 --exclude-subdir
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add_env PATH $HOME/cmake-3.19.8/bin
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set +e && source ~/.bashrc
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set -e
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cd -
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# optional openmpi for distributed training
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if [[ X"$OPENMPI" == "Xon" ]]; then
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echo "installing openmpi"
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origin_wd=$PWD
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cd /tmp
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curl -O https://download.open-mpi.org/release/open-mpi/v4.0/openmpi-4.0.3.tar.gz
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tar xzf openmpi-4.0.3.tar.gz
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cd openmpi-4.0.3
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./configure --prefix=$HOME/openmpi-4.0.3
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make
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sudo make install
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add_env PATH $HOME/openmpi-4.0.3/bin
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add_env LD_LIBRARY_PATH $HOME/openmpi-4.0.3/lib
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cd $origin_wd
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fi
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echo "The environment is ready to clone and compile mindspore."
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