forked from mindspore-Ecosystem/mindspore
160 lines
6.7 KiB
Bash
160 lines
6.7 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 gpu compilation on Ubuntu 18.04.
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#
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# This file will:
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# - change deb source to huaweicloud mirror
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# - install compile dependencies via apt like cmake, gcc
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# - install python3 & pip3 via apt and set it to default
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# - install CUDA by run file and cudnn via apt.
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# - compile and install Open MPI if OPENMPI is set to on.
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# - install LLVM if LLVM is set to on.
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#
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# Augments:
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# - PYTHON_VERSION: python version to install. [3.7(default), 3.8, 3.9]
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# - CUDA_VERSION: CUDA version to install. [10.1, 11.1 11.6(default)]
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# - OPENMPI: whether to install optional package Open MPI for distributed training. [on, off(default)]
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# - LLVM: whether to install optional dependency LLVM for graph kernel fusion. [on, off(default)]
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#
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# Usage:
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# Run script like `bash -i ./ubuntu-gpu-source.sh`.
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# To set augments, run it as `PYTHON_VERSION=3.9 CUDA_VERSION=10.1 OPENMPI=on bash -i ./ubuntu-gpu-source.sh`.
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set -e
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PYTHON_VERSION=${PYTHON_VERSION:-3.7}
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CUDA_VERSION=${CUDA_VERSION:-11.6}
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OPENMPI=${OPENMPI:-off}
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LLVM=${LLVM:-off}
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release_info=$(lsb_release -a | grep Release)
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UBUNTU_VERSION=${release_info//[!0-9]/}
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[[ "$UBUNTU_VERSION" == "2004" && "$CUDA_VERSION" == "10.1" ]] && echo "CUDA 10.1 is not supported on Ubuntu 20.04" && exit 1
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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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available_cuda_version=(10.1 11.1)
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if [[ " ${available_cuda_version[*]} " != *" $CUDA_VERSION "* ]]; then
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echo "CUDA_VERSION is '$CUDA_VERSION', but available versions are [${available_cuda_version[*]}]."
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exit 1
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fi
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declare -A minimum_driver_version_map=()
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minimum_driver_version_map["10.1"]="418.39"
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minimum_driver_version_map["11.1"]="450.80.02"
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minimum_driver_version_map["11.6"]="510.39.01"
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driver_version=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0)
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if [[ $driver_version < ${minimum_driver_version_map[$CUDA_VERSION]} ]]; then
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echo "CUDA $CUDA_VERSION minimum required driver version is ${minimum_driver_version_map[$CUDA_VERSION]}, \
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but current nvidia driver version is $driver_version, please upgrade your driver manually."
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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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# use huaweicloud mirror in China
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sudo sed -i "s@http://.*archive.ubuntu.com@http://repo.huaweicloud.com@g" /etc/apt/sources.list
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sudo sed -i "s@http://.*security.ubuntu.com@http://repo.huaweicloud.com@g" /etc/apt/sources.list
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# base packages
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sudo apt-get update
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sudo apt-get install software-properties-common lsb-release -y
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sudo apt-get install curl tcl automake autoconf libtool gcc-7 git libgmp-dev patch libnuma-dev flex -y
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# cmake
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wget -O - https://apt.kitware.com/keys/kitware-archive-latest.asc 2>/dev/null | sudo apt-key add -
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sudo apt-add-repository "deb https://apt.kitware.com/ubuntu/ $(lsb_release -cs) main"
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sudo apt-get install cmake -y
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# optional dependency LLVM for graph-computation fusion
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if [[ X"$LLVM" == "Xon" ]]; then
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wget -O - https://apt.llvm.org/llvm-snapshot.gpg.key | sudo apt-key add -
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sudo add-apt-repository "deb http://apt.llvm.org/bionic/ llvm-toolchain-bionic-12 main"
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sudo apt-get update
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sudo apt-get install llvm-12-dev -y
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fi
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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=/usr/local/openmpi-4.0.3
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make
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sudo make install
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add_env PATH /usr/local/openmpi-4.0.3/bin
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add_env LD_LIBRARY_PATH /usr/local/openmpi-4.0.3/lib
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cd $origin_wd
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fi
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# python
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sudo add-apt-repository -y ppa:deadsnakes/ppa
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sudo apt-get install python$PYTHON_VERSION python$PYTHON_VERSION-dev python$PYTHON_VERSION-distutils python3-pip -y
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sudo update-alternatives --install /usr/bin/python python /usr/bin/python$PYTHON_VERSION 100
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# pip
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python -m pip install -U pip -i https://pypi.tuna.tsinghua.edu.cn/simple
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echo -e "alias pip='python -m pip'" >> ~/.bashrc
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python -m pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
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# install cuda/cudnn
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cd /tmp
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echo "installing CUDA and cuDNN"
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declare -A cuda_url_map=()
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cuda_url_map["10.1"]=https://developer.download.nvidia.cn/compute/cuda/10.1/Prod/local_installers/cuda_10.1.243_418.87.00_linux.run
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cuda_url_map["11.1"]=https://developer.download.nvidia.cn/compute/cuda/11.1.1/local_installers/cuda_11.1.1_455.32.00_linux.run
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cuda_url_map["11.6"]=https://developer.download.nvidia.cn/compute/cuda/11.6.0/local_installers/cuda_11.6.0_510.39.01_linux.run
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cuda_url=${cuda_url_map[$CUDA_VERSION]}
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wget $cuda_url
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sudo sh ${cuda_url##*/} --silent --toolkit
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cd -
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sudo apt-key adv --fetch-keys https://developer.download.nvidia.cn/compute/cuda/repos/ubuntu${UBUNTU_VERSION}/x86_64/7fa2af80.pub
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sudo add-apt-repository "deb https://developer.download.nvidia.cn/compute/cuda/repos/ubuntu${UBUNTU_VERSION}/x86_64/ /"
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sudo add-apt-repository "deb https://developer.download.nvidia.cn/compute/machine-learning/repos/ubuntu${UBUNTU_VERSION}/x86_64/ /"
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sudo apt-get update
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declare -A cudnn_name_map=()
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cudnn_name_map["10.1"]="libcudnn7=7.6.5.32-1+cuda10.1 libcudnn7-dev=7.6.5.32-1+cuda10.1"
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cudnn_name_map["11.1"]="libcudnn8=8.0.5.39-1+cuda11.1 libcudnn8-dev=8.0.5.39-1+cuda11.1"
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cudnn_name_map["11.6"]="libcudnn8=8.5.0.96-1+cuda11.6 libcudnn8-dev=8.5.0.96-1+cuda11.6"
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sudo apt-get install --no-install-recommends ${cudnn_name_map[$CUDA_VERSION]} -y
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# add cuda to path
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set +e && source ~/.bashrc
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set -e
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add_env PATH /usr/local/cuda/bin
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add_env LD_LIBRARY_PATH /usr/local/cuda/lib64
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add_env LD_LIBRARY_PATH /usr/lib/x86_64-linux-gnu
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set +e && source ~/.bashrc
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set -e
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# wheel
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python -m pip install wheel
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# python 3.9 needs setuptools>44.0
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python -m pip install -U setuptools
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echo "The environment is ready to clone and compile mindspore."
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