mirror of
https://github.com/mudler/LocalAI.git
synced 2024-06-07 19:40:48 +00:00
feat(install): add install.sh for quick installs
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
This commit is contained in:
parent
4e1463fec2
commit
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621
docs/static/install.sh
vendored
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621
docs/static/install.sh
vendored
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@ -0,0 +1,621 @@
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#!/bin/sh
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# This script installs LocalAI on Linux.
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# It detects the current operating system architecture and installs the appropriate version of LocalAI.
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# Usage:
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# curl ... | ENV_VAR=... sh -
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# or
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# ENV_VAR=... ./install.sh
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set -e
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set -o noglob
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set -x
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# --- helper functions for logs ---
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info()
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{
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echo ' ' "$@"
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}
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warn()
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{
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echo '[WARN] ' "$@" >&2
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}
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fatal()
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{
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echo '[ERROR] ' "$@" >&2
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exit 1
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}
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# --- fatal if no systemd or openrc ---
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verify_system() {
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if [ -x /sbin/openrc-run ]; then
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HAS_OPENRC=true
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return
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fi
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if [ -x /bin/systemctl ] || type systemctl > /dev/null 2>&1; then
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HAS_SYSTEMD=true
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return
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fi
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fatal 'Can not find systemd or openrc to use as a process supervisor for local-ai.'
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}
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TEMP_DIR=$(mktemp -d)
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cleanup() { rm -rf $TEMP_DIR; }
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trap cleanup EXIT
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available() { command -v $1 >/dev/null; }
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require() {
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local MISSING=''
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for TOOL in $*; do
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if ! available $TOOL; then
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MISSING="$MISSING $TOOL"
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fi
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done
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echo $MISSING
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}
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## VARIABLES
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# DOCKER_INSTALL - set to "true" to install Docker images
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# USE_AIO - set to "true" to install the all-in-one LocalAI image
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PORT=${PORT:-8080}
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docker_found=false
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if available docker ; then
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info "Docker detected."
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docker_found=true
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if [ -z $DOCKER_INSTALL ]; then
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info "Docker detected and no installation method specified. Using Docker."
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fi
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fi
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DOCKER_INSTALL=${DOCKER_INSTALL:-$docker_found}
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USE_AIO=${USE_AIO:-false}
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API_KEY=${API_KEY:-}
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CORE_IMAGES=${CORE_IMAGES:-false}
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# nprocs -1
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procs=$(nproc)
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procs=$((procs-1))
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THREADS=${THREADS:-$procs}
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LATEST_VERSION=$(curl -s "https://api.github.com/repos/mudler/LocalAI/releases/latest" | grep '"tag_name":' | sed -E 's/.*"([^"]+)".*/\1/')
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VERSION="${VERSION:-$LATEST_VERSION}"
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MODELS_PATH=${MODELS_PATH:-/usr/share/local-ai/models}
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check_gpu() {
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# Look for devices based on vendor ID for NVIDIA and AMD
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case $1 in
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lspci)
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case $2 in
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nvidia) available lspci && lspci -d '10de:' | grep -q 'NVIDIA' || return 1 ;;
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amdgpu) available lspci && lspci -d '1002:' | grep -q 'AMD' || return 1 ;;
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intel) available lspci && lspci | grep -E 'VGA|3D' | grep -iq intel | return 1 ;;
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esac ;;
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lshw)
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case $2 in
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nvidia) available lshw && $SUDO lshw -c display -numeric | grep -q 'vendor: .* \[10DE\]' || return 1 ;;
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amdgpu) available lshw && $SUDO lshw -c display -numeric | grep -q 'vendor: .* \[1002\]' || return 1 ;;
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intel) available lshw && $SUDO lshw -c display -numeric | grep -q 'vendor: .* \[8086\]' || return 1 ;;
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esac ;;
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nvidia-smi) available nvidia-smi || return 1 ;;
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esac
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}
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install_success() {
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info "The LocalAI API is now available at 127.0.0.1:$PORT."
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if [ "$DOCKER_INSTALL" = "true" ]; then
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info "The LocalAI Docker container is now running."
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else
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info 'Install complete. Run "local-ai" from the command line.'
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fi
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}
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aborted() {
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warn 'Installation aborted.'
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exit 1
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}
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trap aborted INT
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# Everything from this point onwards is optional.
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configure_systemd() {
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if ! id local-ai >/dev/null 2>&1; then
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info "Creating local-ai user..."
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$SUDO useradd -r -s /bin/false -U -m -d /usr/share/local-ai local-ai
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fi
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info "Adding current user to local-ai group..."
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$SUDO usermod -a -G local-ai $(whoami)
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info "Creating local-ai systemd service..."
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cat <<EOF | $SUDO tee /etc/systemd/system/local-ai.service >/dev/null
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[Unit]
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Description=LocalAI Service
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After=network-online.target
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[Service]
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ExecStart=$BINDIR/local-ai run
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User=local-ai
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Group=local-ai
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Restart=always
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EnvironmentFile=/etc/localai.env
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RestartSec=3
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Environment="PATH=$PATH"
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WorkingDirectory=/usr/share/local-ai
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[Install]
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WantedBy=default.target
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EOF
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$SUDO touch /etc/localai.env
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$SUDO echo "ADDRESS=0.0.0.0:$PORT" | $SUDO tee /etc/localai.env >/dev/null
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$SUDO echo "API_KEY=$API_KEY" | $SUDO tee -a /etc/localai.env >/dev/null
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$SUDO echo "THREADS=$THREADS" | $SUDO tee -a /etc/localai.env >/dev/null
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$SUDO echo "MODELS_PATH=$MODELS_PATH" | $SUDO tee -a /etc/localai.env >/dev/null
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SYSTEMCTL_RUNNING="$(systemctl is-system-running || true)"
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case $SYSTEMCTL_RUNNING in
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running|degraded)
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info "Enabling and starting local-ai service..."
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$SUDO systemctl daemon-reload
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$SUDO systemctl enable local-ai
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start_service() { $SUDO systemctl restart local-ai; }
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trap start_service EXIT
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;;
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esac
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}
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# ref: https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html
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install_container_toolkit_yum() {
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info 'Installing NVIDIA repository...'
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curl -s -L https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo | \
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$SUDO tee /etc/yum.repos.d/nvidia-container-toolkit.repo
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if [ "$PACKAGE_MANAGER" == "dnf" ]; then
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$SUDO $PACKAGE_MANAGER config-manager --enable nvidia-container-toolkit-experimental
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else
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$SUDO $PACKAGE_MANAGER -y install yum-utils
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$SUDO $PACKAGE_MANAGER-config-manager --enable nvidia-container-toolkit-experimental
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fi
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$SUDO $PACKAGE_MANAGER install -y nvidia-container-toolkit
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}
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install_container_toolkit_apt() {
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info 'Installing NVIDIA repository...'
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curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | $SUDO gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg \
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&& curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list | \
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sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | \
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$SUDO tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
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$SUDO sudo apt-get update && $SUDO apt-get install -y nvidia-container-toolkit
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}
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install_container_toolkit_zypper() {
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info 'Installing NVIDIA repository...'
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$SUDO zypper ar https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo
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$SUDO zypper modifyrepo --enable nvidia-container-toolkit-experimental
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$SUDO zypper --gpg-auto-import-keys install -y nvidia-container-toolkit
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}
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install_container_toolkit() {
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if [ ! -f "/etc/os-release" ]; then
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fatal "Unknown distribution. Skipping CUDA installation."
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fi
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## Check if it's already installed
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if check_gpu nvidia-smi && available nvidia-container-runtime; then
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info "NVIDIA Container Toolkit already installed."
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return
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fi
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. /etc/os-release
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OS_NAME=$ID
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OS_VERSION=$VERSION_ID
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info "Installing NVIDIA Container Toolkit..."
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case $OS_NAME in
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amzn|fedora|rocky|centos|rhel) install_container_toolkit_yum ;;
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debian|ubuntu) install_container_toolkit_apt ;;
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opensuse|suse) install_container_toolkit_zypper ;;
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*) exit ;;
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esac
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}
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# ref: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#rhel-7-centos-7
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# ref: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#rhel-8-rocky-8
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# ref: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#rhel-9-rocky-9
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# ref: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#fedora
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install_cuda_driver_yum() {
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info 'Installing NVIDIA repository...'
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case $PACKAGE_MANAGER in
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yum)
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$SUDO $PACKAGE_MANAGER -y install yum-utils
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$SUDO $PACKAGE_MANAGER-config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/$1$2/$(uname -m)/cuda-$1$2.repo
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;;
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dnf)
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$SUDO $PACKAGE_MANAGER config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/$1$2/$(uname -m)/cuda-$1$2.repo
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;;
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esac
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case $1 in
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rhel)
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info 'Installing EPEL repository...'
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# EPEL is required for third-party dependencies such as dkms and libvdpau
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$SUDO $PACKAGE_MANAGER -y install https://dl.fedoraproject.org/pub/epel/epel-release-latest-$2.noarch.rpm || true
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;;
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esac
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info 'Installing CUDA driver...'
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if [ "$1" = 'centos' ] || [ "$1$2" = 'rhel7' ]; then
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$SUDO $PACKAGE_MANAGER -y install nvidia-driver-latest-dkms
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fi
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$SUDO $PACKAGE_MANAGER -y install cuda-drivers
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}
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# ref: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#ubuntu
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# ref: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#debian
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install_cuda_driver_apt() {
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info 'Installing NVIDIA repository...'
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curl -fsSL -o $TEMP_DIR/cuda-keyring.deb https://developer.download.nvidia.com/compute/cuda/repos/$1$2/$(uname -m)/cuda-keyring_1.1-1_all.deb
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case $1 in
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debian)
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info 'Enabling contrib sources...'
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$SUDO sed 's/main/contrib/' < /etc/apt/sources.list | $SUDO tee /etc/apt/sources.list.d/contrib.list > /dev/null
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if [ -f "/etc/apt/sources.list.d/debian.sources" ]; then
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$SUDO sed 's/main/contrib/' < /etc/apt/sources.list.d/debian.sources | $SUDO tee /etc/apt/sources.list.d/contrib.sources > /dev/null
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fi
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;;
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esac
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info 'Installing CUDA driver...'
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$SUDO dpkg -i $TEMP_DIR/cuda-keyring.deb
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$SUDO apt-get update
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[ -n "$SUDO" ] && SUDO_E="$SUDO -E" || SUDO_E=
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DEBIAN_FRONTEND=noninteractive $SUDO_E apt-get -y install cuda-drivers -q
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}
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install_cuda() {
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if [ ! -f "/etc/os-release" ]; then
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fatal "Unknown distribution. Skipping CUDA installation."
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fi
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. /etc/os-release
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OS_NAME=$ID
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OS_VERSION=$VERSION_ID
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if [ -z "$PACKAGE_MANAGER" ]; then
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fatal "Unknown package manager. Skipping CUDA installation."
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fi
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if ! check_gpu nvidia-smi || [ -z "$(nvidia-smi | grep -o "CUDA Version: [0-9]*\.[0-9]*")" ]; then
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case $OS_NAME in
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centos|rhel) install_cuda_driver_yum 'rhel' $(echo $OS_VERSION | cut -d '.' -f 1) ;;
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rocky) install_cuda_driver_yum 'rhel' $(echo $OS_VERSION | cut -c1) ;;
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fedora) [ $OS_VERSION -lt '37' ] && install_cuda_driver_yum $OS_NAME $OS_VERSION || install_cuda_driver_yum $OS_NAME '37';;
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amzn) install_cuda_driver_yum 'fedora' '37' ;;
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debian) install_cuda_driver_apt $OS_NAME $OS_VERSION ;;
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ubuntu) install_cuda_driver_apt $OS_NAME $(echo $OS_VERSION | sed 's/\.//') ;;
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*) exit ;;
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esac
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fi
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if ! lsmod | grep -q nvidia || ! lsmod | grep -q nvidia_uvm; then
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KERNEL_RELEASE="$(uname -r)"
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case $OS_NAME in
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rocky) $SUDO $PACKAGE_MANAGER -y install kernel-devel kernel-headers ;;
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centos|rhel|amzn) $SUDO $PACKAGE_MANAGER -y install kernel-devel-$KERNEL_RELEASE kernel-headers-$KERNEL_RELEASE ;;
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fedora) $SUDO $PACKAGE_MANAGER -y install kernel-devel-$KERNEL_RELEASE ;;
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debian|ubuntu) $SUDO apt-get -y install linux-headers-$KERNEL_RELEASE ;;
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*) exit ;;
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esac
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NVIDIA_CUDA_VERSION=$($SUDO dkms info | awk -F: '/added/ { print $1 }')
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if [ -n "$NVIDIA_CUDA_VERSION" ]; then
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$SUDO dkms install $NVIDIA_CUDA_VERSION
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fi
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|
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if lsmod | grep -q nouveau; then
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info 'Reboot to complete NVIDIA CUDA driver install.'
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exit 0
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||||
fi
|
||||
|
||||
$SUDO modprobe nvidia
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$SUDO modprobe nvidia_uvm
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||||
fi
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||||
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# make sure the NVIDIA modules are loaded on boot with nvidia-persistenced
|
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if command -v nvidia-persistenced > /dev/null 2>&1; then
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$SUDO touch /etc/modules-load.d/nvidia.conf
|
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MODULES="nvidia nvidia-uvm"
|
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for MODULE in $MODULES; do
|
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if ! grep -qxF "$MODULE" /etc/modules-load.d/nvidia.conf; then
|
||||
echo "$MODULE" | sudo tee -a /etc/modules-load.d/nvidia.conf > /dev/null
|
||||
fi
|
||||
done
|
||||
fi
|
||||
|
||||
info "NVIDIA GPU ready."
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install_success
|
||||
|
||||
}
|
||||
|
||||
install_amd() {
|
||||
# Look for pre-existing ROCm v6 before downloading the dependencies
|
||||
for search in "${HIP_PATH:-''}" "${ROCM_PATH:-''}" "/opt/rocm" "/usr/lib64"; do
|
||||
if [ -n "${search}" ] && [ -e "${search}/libhipblas.so.2" -o -e "${search}/lib/libhipblas.so.2" ]; then
|
||||
info "Compatible AMD GPU ROCm library detected at ${search}"
|
||||
install_success
|
||||
exit 0
|
||||
fi
|
||||
done
|
||||
|
||||
info "AMD GPU ready."
|
||||
exit 0
|
||||
}
|
||||
|
||||
install_docker() {
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||||
[ "$(uname -s)" = "Linux" ] || fatal 'This script is intended to run on Linux only.'
|
||||
|
||||
if ! available docker; then
|
||||
info "Installing Docker..."
|
||||
curl -fsSL https://get.docker.com | sh
|
||||
fi
|
||||
|
||||
# Check docker is running
|
||||
if ! $SUDO systemctl is-active --quiet docker; then
|
||||
info "Starting Docker..."
|
||||
$SUDO systemctl start docker
|
||||
fi
|
||||
|
||||
info "Starting LocalAI Docker container..."
|
||||
# Create volume if doesn't exist already
|
||||
if ! $SUDO docker volume inspect local-ai-data > /dev/null 2>&1; then
|
||||
$SUDO docker volume create local-ai-data
|
||||
fi
|
||||
|
||||
# Check if container is already runnning
|
||||
if $SUDO docker ps -a --format '{{.Names}}' | grep -q local-ai; then
|
||||
info "LocalAI Docker container already exists, replacing it..."
|
||||
$SUDO docker rm -f local-ai
|
||||
# # Check if it is running
|
||||
# if $SUDO docker ps --format '{{.Names}}' | grep -q local-ai; then
|
||||
# info "LocalAI Docker container is already running."
|
||||
# exit 0
|
||||
# fi
|
||||
|
||||
# info "Starting LocalAI Docker container..."
|
||||
# $SUDO docker start local-ai
|
||||
# exit 0
|
||||
fi
|
||||
|
||||
IMAGE_TAG=
|
||||
if [ "$HAS_CUDA" ]; then
|
||||
IMAGE_TAG=${VERSION}-cublas-cuda12-ffmpeg
|
||||
# CORE
|
||||
if [ "$CORE_IMAGES" = true ]; then
|
||||
IMAGE_TAG=${VERSION}-cublas-cuda12-ffmpeg-core
|
||||
fi
|
||||
# AIO
|
||||
if [ "$USE_AIO" = true ]; then
|
||||
IMAGE_TAG=${VERSION}-aio-gpu-nvidia-cuda-12
|
||||
fi
|
||||
|
||||
if ! available nvidia-smi; then
|
||||
info "Installing nvidia-cuda-toolkit..."
|
||||
# TODO:
|
||||
$SUDO apt-get -y install nvidia-cuda-toolkit
|
||||
fi
|
||||
|
||||
$SUDO docker run -v local-ai-data:/build/models \
|
||||
--gpus all \
|
||||
--restart=always \
|
||||
-e API_KEY=$API_KEY \
|
||||
-e THREADS=$THREADS \
|
||||
-d -p $PORT:8080 --name local-ai localai/localai:$IMAGE_TAG
|
||||
elif [ "$HAS_AMD" ]; then
|
||||
IMAGE_TAG=${VERSION}-hipblas-ffmpeg
|
||||
# CORE
|
||||
if [ "$CORE_IMAGES" = true ]; then
|
||||
IMAGE_TAG=${VERSION}-hipblas-ffmpeg-core
|
||||
fi
|
||||
# AIO
|
||||
if [ "$USE_AIO" = true ]; then
|
||||
IMAGE_TAG=${VERSION}-aio-gpu-hipblas
|
||||
fi
|
||||
|
||||
$SUDO docker run -v local-ai-data:/build/models \
|
||||
--device /dev/dri \
|
||||
--device /dev/kfd \
|
||||
--restart=always \
|
||||
-e API_KEY=$API_KEY \
|
||||
-e THREADS=$THREADS \
|
||||
-d -p $PORT:8080 --name local-ai localai/localai:$IMAGE_TAG
|
||||
elif [ "$HAS_INTEL" ]; then
|
||||
IMAGE_TAG=${VERSION}-sycl-f32-ffmpeg
|
||||
# CORE
|
||||
if [ "$CORE_IMAGES" = true ]; then
|
||||
IMAGE_TAG=${VERSION}-sycl-f32-ffmpeg-core
|
||||
fi
|
||||
# AIO
|
||||
if [ "$USE_AIO" = true ]; then
|
||||
IMAGE_TAG=${VERSION}-aio-gpu-intel-f32
|
||||
fi
|
||||
|
||||
$SUDO docker run -v local-ai-data:/build/models \
|
||||
--device /dev/dri \
|
||||
--restart=always \
|
||||
-e API_KEY=$API_KEY \
|
||||
-e THREADS=$THREADS \
|
||||
-d -p $PORT:8080 --name local-ai localai/localai:$IMAGE_TAG
|
||||
else
|
||||
IMAGE_TAG=${VERSION}-ffmpeg
|
||||
# CORE
|
||||
if [ "$CORE_IMAGES" = true ]; then
|
||||
IMAGE_TAG=${VERSION}-ffmpeg-core
|
||||
fi
|
||||
# AIO
|
||||
if [ "$USE_AIO" = true ]; then
|
||||
IMAGE_TAG=${VERSION}-aio-cpu
|
||||
fi
|
||||
$SUDO docker run -v local-ai-data:/models \
|
||||
--restart=always \
|
||||
-e MODELS_PATH=/models \
|
||||
-e API_KEY=$API_KEY \
|
||||
-e THREADS=$THREADS \
|
||||
-d -p $PORT:8080 --name local-ai localai/localai:$IMAGE_TAG
|
||||
fi
|
||||
|
||||
install_success
|
||||
exit 0
|
||||
}
|
||||
|
||||
install_binary_darwin() {
|
||||
[ "$(uname -s)" = "Darwin" ] || fatal 'This script is intended to run on macOS only.'
|
||||
|
||||
info "Downloading local-ai..."
|
||||
curl --fail --show-error --location --progress-bar -o $TEMP_DIR/local-ai "https://github.com/mudler/LocalAI/releases/download/v${VERSION}/local-ai-Darwin-${ARCH}"
|
||||
|
||||
info "Installing local-ai..."
|
||||
install -o0 -g0 -m755 $TEMP_DIR/local-ai /usr/local/bin/local-ai
|
||||
|
||||
install_success
|
||||
}
|
||||
|
||||
install_binary() {
|
||||
[ "$(uname -s)" = "Linux" ] || fatal 'This script is intended to run on Linux only.'
|
||||
|
||||
ARCH=$(uname -m)
|
||||
case "$ARCH" in
|
||||
x86_64) ARCH="x86_64" ;;
|
||||
aarch64|arm64) ARCH="arm64" ;;
|
||||
*) fatal "Unsupported architecture: $ARCH" ;;
|
||||
esac
|
||||
|
||||
IS_WSL2=false
|
||||
|
||||
KERN=$(uname -r)
|
||||
case "$KERN" in
|
||||
*icrosoft*WSL2 | *icrosoft*wsl2) IS_WSL2=true;;
|
||||
*icrosoft) fatal "Microsoft WSL1 is not currently supported. Please upgrade to WSL2 with 'wsl --set-version <distro> 2'" ;;
|
||||
*) ;;
|
||||
esac
|
||||
|
||||
|
||||
NEEDS=$(require curl awk grep sed tee xargs)
|
||||
if [ -n "$NEEDS" ]; then
|
||||
info "ERROR: The following tools are required but missing:"
|
||||
for NEED in $NEEDS; do
|
||||
echo " - $NEED"
|
||||
done
|
||||
exit 1
|
||||
fi
|
||||
|
||||
info "Downloading local-ai..."
|
||||
curl --fail --location --progress-bar -o $TEMP_DIR/local-ai "https://github.com/mudler/LocalAI/releases/download/${VERSION}/local-ai-Linux-${ARCH}"
|
||||
|
||||
for BINDIR in /usr/local/bin /usr/bin /bin; do
|
||||
echo $PATH | grep -q $BINDIR && break || continue
|
||||
done
|
||||
|
||||
info "Installing local-ai to $BINDIR..."
|
||||
$SUDO install -o0 -g0 -m755 -d $BINDIR
|
||||
$SUDO install -o0 -g0 -m755 $TEMP_DIR/local-ai $BINDIR/local-ai
|
||||
|
||||
verify_system
|
||||
if [ "$HAS_SYSTEMD" == "true" ]; then
|
||||
configure_systemd
|
||||
fi
|
||||
|
||||
# WSL2 only supports GPUs via nvidia passthrough
|
||||
# so check for nvidia-smi to determine if GPU is available
|
||||
if [ "$IS_WSL2" = true ]; then
|
||||
if available nvidia-smi && [ -n "$(nvidia-smi | grep -o "CUDA Version: [0-9]*\.[0-9]*")" ]; then
|
||||
info "Nvidia GPU detected."
|
||||
fi
|
||||
install_success
|
||||
exit 0
|
||||
fi
|
||||
|
||||
# Install GPU dependencies on Linux
|
||||
if ! available lspci && ! available lshw; then
|
||||
warn "Unable to detect NVIDIA/AMD GPU. Install lspci or lshw to automatically detect and install GPU dependencies."
|
||||
exit 0
|
||||
fi
|
||||
|
||||
# ! check_gpu lspci nvidia && ! check_gpu lshw nvidia && ! check_gpu lspci amdgpu && ! check_gpu lshw amdgpu; then
|
||||
|
||||
if [ "$HAS_AMD" = true ]; then
|
||||
install_amd
|
||||
fi
|
||||
|
||||
if [ "$HAS_CUDA" = true ]; then
|
||||
if check_gpu nvidia-smi; then
|
||||
info "NVIDIA GPU installed."
|
||||
exit 0
|
||||
fi
|
||||
|
||||
install_cuda
|
||||
fi
|
||||
|
||||
install_success
|
||||
warn "No NVIDIA/AMD GPU detected. LocalAI will run in CPU-only mode."
|
||||
exit 0
|
||||
}
|
||||
|
||||
OS="$(uname -s)"
|
||||
|
||||
if [ "$OS" == "Darwin" ]; then
|
||||
install_binary_darwin
|
||||
exit 0
|
||||
fi
|
||||
|
||||
if check_gpu lspci amdgpu || check_gpu lshw amdgpu; then
|
||||
HAS_AMD=true
|
||||
fi
|
||||
|
||||
if check_gpu lspci nvidia || check_gpu lshw nvidia; then
|
||||
HAS_CUDA=true
|
||||
fi
|
||||
|
||||
if check_gpu lspci intel || check_gpu lshw intel; then
|
||||
HAS_INTEL=true
|
||||
fi
|
||||
|
||||
SUDO=
|
||||
if [ "$(id -u)" -ne 0 ]; then
|
||||
# Running as root, no need for sudo
|
||||
if ! available sudo; then
|
||||
fatal "This script requires superuser permissions. Please re-run as root."
|
||||
fi
|
||||
|
||||
SUDO="sudo"
|
||||
fi
|
||||
|
||||
PACKAGE_MANAGER=
|
||||
for PACKAGE_MANAGER in dnf yum apt-get; do
|
||||
if available $PACKAGE_MANAGER; then
|
||||
break
|
||||
fi
|
||||
done
|
||||
|
||||
if [ "$DOCKER_INSTALL" = "true" ]; then
|
||||
install_container_toolkit
|
||||
install_docker
|
||||
else
|
||||
install_binary
|
||||
fi
|
Loading…
Reference in New Issue
Block a user