cuda.sh

#!/bin/bash

if [ "${TRAVIS_OS_NAME}" = "linux" ] && [ "$IDX" = "cpu" ]; then
  export TOOLKIT=cpuonly
fi

if [ "${TRAVIS_OS_NAME}" = "linux" ] && [ "$IDX" = "cu92" ]; then
  export CUDA_SHORT=9.2
  export CUDA=9.2.148-1
  export UBUNTU_VERSION=ubuntu1604
  export TOOLKIT="cudatoolkit=${CUDA_SHORT}"
fi

if [ "${TRAVIS_OS_NAME}" = "linux" ] && [ "$IDX" = "cu101" ]; then
  export IDX=cu101
  export CUDA_SHORT=10.1
  export CUDA=10.1.243-1
  export UBUNTU_VERSION=ubuntu1804
  export TOOLKIT="cudatoolkit=${CUDA_SHORT}"
fi


if [ "${TRAVIS_OS_NAME}" = "linux" ] && [ "$IDX" = "cu102" ]; then
  export CUDA_SHORT=10.2
  export CUDA=10.2.89-1
  export UBUNTU_VERSION=ubuntu1804
  export TOOLKIT="cudatoolkit=${CUDA_SHORT}"
fi

if [ "${TRAVIS_OS_NAME}" = "linux" ] && [ "$IDX" = "cu110" ]; then
  export CUDA_SHORT=11.0
  export TOOLKIT="cudatoolkit=${CUDA_SHORT}"
fi

if [ "${TRAVIS_OS_NAME}" = "windows" ] && [ "$IDX" = "cpu" ]; then
  export TOOLKIT=cpuonly
fi

if [ "${TRAVIS_OS_NAME}" = "windows" ] && [ "$IDX" = "cu92" ]; then
  export CUDA_SHORT=9.2
  export CUDA_URL=https://developer.nvidia.com/compute/cuda/${CUDA_SHORT}/Prod2/local_installers2
  export CUDA_FILE=cuda_${CUDA_SHORT}.148_win10
  export TOOLKIT="cudatoolkit=${CUDA_SHORT}"
fi

if [ "${TRAVIS_OS_NAME}" = "windows" ] && [ "$IDX" = "cu101" ]; then
  export CUDA_SHORT=10.1
  export CUDA_URL=https://developer.nvidia.com/compute/cuda/${CUDA_SHORT}/Prod/local_installers
  export CUDA_FILE=cuda_${CUDA_SHORT}.105_418.96_win10.exe
  export TOOLKIT="cudatoolkit=${CUDA_SHORT}"
fi

if [ "${TRAVIS_OS_NAME}" = "windows" ] && [ "$IDX" = "cu102" ]; then
  export CUDA_SHORT=10.2
  export CUDA_URL=https://developer.download.nvidia.com/compute/cuda/${CUDA_SHORT}/Prod/local_installers
  export CUDA_FILE=cuda_${CUDA_SHORT}.89_441.22_win10.exe
  export TOOLKIT="cudatoolkit=${CUDA_SHORT}"
fi

if [ "${TRAVIS_OS_NAME}" = "windows" ] && [ "$IDX" = "cu110" ]; then
  export CUDA_SHORT=11.0
  export CUDA_URL=https://developer.download.nvidia.com/compute/cuda/${CUDA_SHORT}.2/local_installers
  export CUDA_FILE=cuda_${CUDA_SHORT}.2_451.48_win10.exe
  export TOOLKIT="cudatoolkit=${CUDA_SHORT}"
fi

if [ "${TRAVIS_OS_NAME}" = "osx" ] && [ "$IDX" = "cpu" ]; then
  export TOOLKIT=""
fi

if [ "${IDX}" = "cpu" ]; then
  export FORCE_CPU=1
else
  export FORCE_CUDA=1
fi

if [ "${TRAVIS_OS_NAME}" = "linux" ] && [ "${IDX}" != "cpu" ] && [ "${IDX}" != "cu110" ]; then
  INSTALLER="cuda-repo-${UBUNTU_VERSION}_${CUDA}_amd64.deb"
  wget -nv "http://developer.download.nvidia.com/compute/cuda/repos/${UBUNTU_VERSION}/x86_64/${INSTALLER}"
  sudo dpkg -i "${INSTALLER}"
  wget -nv "https://developer.download.nvidia.com/compute/cuda/repos/${UBUNTU_VERSION}/x86_64/7fa2af80.pub"
  sudo apt-key add 7fa2af80.pub
  sudo apt update -qq
  sudo apt install "cuda-core-${CUDA_SHORT/./-}" "cuda-nvcc-${CUDA_SHORT/./-}" "cuda-libraries-dev-${CUDA_SHORT/./-}"
  sudo apt clean
  CUDA_HOME=/usr/local/cuda-${CUDA_SHORT}
  LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}
  PATH=${CUDA_HOME}/bin:${PATH}
  nvcc --version

  # Fix cublas on CUDA 10.1:
  if [ -d "/usr/local/cuda-10.2/targets/x86_64-linux/include" ]; then
    sudo cp -r /usr/local/cuda-10.2/targets/x86_64-linux/include/* "${CUDA_HOME}/include/"
  fi
  if [ -d "/usr/local/cuda-10.2/targets/x86_64-linux/lib" ]; then
    sudo cp -r /usr/local/cuda-10.2/targets/x86_64-linux/lib/* "${CUDA_HOME}/lib/"
  fi
fi

if [ "${TRAVIS_OS_NAME}" = "linux" ] && [ "${IDX}" = "cu110" ]; then
  wget -nv https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-ubuntu1804.pin
  sudo mv cuda-ubuntu1804.pin /etc/apt/preferences.d/cuda-repository-pin-600
  wget -nv https://developer.download.nvidia.com/compute/cuda/11.0.3/local_installers/cuda-repo-ubuntu1804-11-0-local_11.0.3-450.51.06-1_amd64.deb
  sudo dpkg -i cuda-repo-ubuntu1804-11-0-local_11.0.3-450.51.06-1_amd64.deb
  sudo apt-key add /var/cuda-repo-ubuntu1804-11-0-local/7fa2af80.pub
  sudo apt update -qq
  sudo apt install cuda-nvcc-11-0 cuda-libraries-dev-11-0
  sudo apt clean
  CUDA_HOME=/usr/local/cuda-${CUDA_SHORT}
  LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}
  PATH=${CUDA_HOME}/bin:${PATH}
  nvcc --version
fi

if [ "${TRAVIS_OS_NAME}" = "windows" ] && [ "${IDX}" != "cpu" ]; then
  # Install NVIDIA drivers, see:
  # https://github.com/pytorch/vision/blob/master/packaging/windows/internal/cuda_install.bat#L99-L102
  curl -k -L "https://drive.google.com/u/0/uc?id=1injUyo3lnarMgWyRcXqKg4UGnN0ysmuq&export=download" --output "/tmp/gpu_driver_dlls.zip"
  7z x "/tmp/gpu_driver_dlls.zip" -o"/c/Windows/System32"

  # Install CUDA:
  wget -nv "${CUDA_URL}/${CUDA_FILE}"
  PowerShell -Command "Start-Process -FilePath \"${CUDA_FILE}\" -ArgumentList \"-s nvcc_${CUDA_SHORT} cuobjdump_${CUDA_SHORT} nvprune_${CUDA_SHORT} cupti_${CUDA_SHORT} cublas_dev_${CUDA_SHORT} cudart_${CUDA_SHORT} cufft_dev_${CUDA_SHORT} curand_dev_${CUDA_SHORT} cusolver_dev_${CUDA_SHORT} cusparse_dev_${CUDA_SHORT} npp_dev_${CUDA_SHORT} nvrtc_dev_${CUDA_SHORT} nvml_dev_${CUDA_SHORT}\" -Wait -NoNewWindow"
  CUDA_HOME=/c/Program\ Files/NVIDIA\ GPU\ Computing\ Toolkit/CUDA/v${CUDA_SHORT}
  PATH=${CUDA_HOME}/bin:$PATH
  PATH=/c/Program\ Files\ \(x86\)/Microsoft\ Visual\ Studio/2017/BuildTools/MSBuild/15.0/Bin:$PATH
  nvcc --version
fi