mirror of
https://github.com/microsoft/vcpkg.git
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75 lines
3.5 KiB
Bash
Executable File
75 lines
3.5 KiB
Bash
Executable File
#!/bin/bash
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# Copyright (c) Microsoft Corporation.
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# SPDX-License-Identifier: MIT
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#
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sudo apt -y update
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sudo apt -y dist-upgrade
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# Install common build dependencies and partitioning tools
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sudo apt -y install at curl unzip tar libxt-dev gperf libxaw7-dev cifs-utils build-essential g++ gfortran zip libx11-dev libxi-dev libgl1-mesa-dev libglu1-mesa-dev mesa-common-dev libxinerama-dev libxcursor-dev yasm libnuma1 libnuma-dev python-six python3-six python-yaml flex libbison-dev autoconf libudev-dev libncurses5-dev libtool libxrandr-dev xutils-dev dh-autoreconf libgles2-mesa-dev ruby-full pkg-config
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# Required by qt5-x11extras
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sudo apt -y install libxkbcommon-dev libxkbcommon-x11-dev
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# Required by libhdfs3
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sudo apt -y install libkrb5-dev
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# Required by mesa
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sudo apt -y install python3-setuptools
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# Install newer version of nasm than the apt package, required by intel-ipsec
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mkdir /tmp/nasm
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cd /tmp/nasm
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curl -O https://www.nasm.us/pub/nasm/releasebuilds/2.14.02/nasm-2.14.02.tar.gz
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tar -xf nasm-2.14.02.tar.gz
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cd nasm-2.14.02/
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./configure --prefix=/usr && make -j
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sudo make install
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cd ~
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# Install the latest Haskell stack
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curl -sSL https://get.haskellstack.org/ | sudo sh
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# Install CUDA
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wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.2.89-1_amd64.deb
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sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
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sudo dpkg -i cuda-repo-ubuntu1804_10.2.89-1_amd64.deb
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wget http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb
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sudo dpkg -i nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb
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sudo apt -y update
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sudo apt install -y --no-install-recommends cuda-compiler-10-2 cuda-libraries-dev-10-2 cuda-driver-dev-10-2 cuda-cudart-dev-10-2 libcublas10 cuda-curand-dev-10-2
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sudo apt install -y --no-install-recommends libcudnn7-dev
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sudo ln -s /usr/local/cuda-10.1/lib64/stubs/libcuda.so /usr/local/cuda-10.1/lib64/stubs/libcuda.so.1
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# Install PowerShell
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wget -q https://packages.microsoft.com/config/ubuntu/18.04/packages-microsoft-prod.deb
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sudo dpkg -i packages-microsoft-prod.deb
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sudo apt update
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sudo add-apt-repository universe
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sudo apt install -y powershell
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# Write SMB credentials
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sudo mkdir /etc/smbcredentials
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smbCredentialFile=/etc/smbcredentials/$StorageAccountName.cred
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echo "username=$StorageAccountName" | sudo tee $smbCredentialFile > /dev/null
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echo "password=$StorageAccountKey" | sudo tee -a $smbCredentialFile > /dev/null
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sudo chmod 600 $smbCredentialFile
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# Mount the archives SMB share to /archives
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sudo mkdir /archives -m=777
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echo "//$StorageAccountName.file.core.windows.net/archives /archives cifs nofail,vers=3.0,credentials=$smbCredentialFile,serverino,dir_mode=0777,file_mode=0777 0 0" | sudo tee -a /etc/fstab
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# Create 'home' directory for haskell stack bits that want this
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sudo mkdir -p /home/root -m=777
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# Delete /etc/debian_version to prevent Azure Pipelines Scale Set Agents from removing some of the above
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sudo rm /etc/debian_version
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# Install dependencies that the Azure Pipelines agent will want later to make launching VMs faster
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# https://docs.microsoft.com/en-us/dotnet/core/install/dependencies?tabs=netcore31&pivots=os-linux
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# (we assume libssl1.0.0 or equivalent is already installed to not accidentially change SSL certs)
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apt install -y liblttng-ust0 libkrb5-3 zlib1g libicu60
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# Create work trees for the Azure Pipelines agent so that it puts its work tree into temporary storage.
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sudo chmod 777 /mnt
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sudo mkdir /agent -m=777
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sudo ln -s /mnt /agent/_work
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