#!/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_9.2.148-1 export UBUNTU_VERSION=ubuntu1604 export CUBLAS=cuda-cublas-dev-9-2 export TOOLKIT="cudatoolkit=${CUDA_SHORT}" fi if [ "${TRAVIS_OS_NAME}" = "linux" ] && [ "$IDX" = "cu101" ]; then export IDX=cu101 export CUDA_SHORT=10.1 export CUDA=10-1_10.1.243-1 export UBUNTU_VERSION=ubuntu1804 export CUBLAS=libcublas-dev export TOOLKIT="cudatoolkit=${CUDA_SHORT}" fi if [ "${TRAVIS_OS_NAME}" = "linux" ] && [ "$IDX" = "cu102" ]; then export CUDA_SHORT=10.2 export CUDA=10-2_10.2.89-1 export UBUNTU_VERSION=ubuntu1804 export CUBLAS=libcublas-dev export TOOLKIT="cudatoolkit=${CUDA_SHORT}" fi if [ "${TRAVIS_OS_NAME}" = "linux" ] && [ "$IDX" = "cu110" ]; then export CUDA_SHORT=11.0 export CUDA=11-1_11.0.3-1 export UBUNTU_VERSION=ubuntu1804 export CUBLAS=libcublas-dev export TOOLKIT="cudatoolkit=${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" ] && [ "$IDX" = "cu110" ]; then export CUDA_SHORT=11.0 export CUDA_URL=https://developer.download.nvidia.com/compute/cuda/11.0.2/local_installers export CUDA_FILE=cuda_${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" ]; then INSTALLER="cuda-${CUDA}_amd64.deb" wget -nv "http://developer.download.nvidia.com/compute/cuda/repos/${UBUNTU_VERSION}/x86_64/${INSTALLER}" sudo dpkg -i "${INSTALLER}" wget -nv "https://developer.download.nvidia.com/compute/cuda/repos/${UBUNTU_VERSION}/x86_64/7fa2af80.pub" sudo apt-key add 7fa2af80.pub sudo apt update -qq sudo apt install -y "cuda-${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:${PATH} nvcc --version fi if [ "${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_${CUDA_SHORT} cublas_dev_${CUDA_SHORT} cusparse_dev_${CUDA_SHORT} cusolver_dev_${CUDA_SHORT} curand_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