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更新 Flock.sh

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smeb_y 2024-08-16 04:54:21 +00:00
parent dc55b0d53b
commit 55bc970c19
1 changed files with 115 additions and 18 deletions
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133
Flock.sh
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@ -1,4 +1,7 @@
#!/bin/bash
# Miniconda安装路径
MINICONDA_PATH="$HOME/miniconda"
CONDA_EXECUTABLE="$MINICONDA_PATH/bin/conda"
# 检查是否以root用户运行脚本
if [ "$(id -u)" != "0" ]; then
@ -7,32 +10,55 @@ if [ "$(id -u)" != "0" ]; then
exit 1
fi
# 确保 conda 被正确初始化
ensure_conda_initialized() {
if [ -f "$HOME/.bashrc" ]; then
source "$HOME/.bashrc"
fi
if [ -f "$CONDA_EXECUTABLE" ]; then
eval "$("$CONDA_EXECUTABLE" shell.bash hook)"
fi
}
# 检查并安装 Conda
function install_conda() {
if command -v conda > /dev/null 2>&1; then
echo "Conda 已安装"
if [ -f "$CONDA_EXECUTABLE" ]; then
echo "Conda 已安装在 $MINICONDA_PATH"
ensure_conda_initialized
else
echo "Conda 未安装，正在安装..."
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh
bash miniconda.sh -b -p $HOME/miniconda
bash miniconda.sh -b -p $MINICONDA_PATH
rm miniconda.sh
# 初始化 conda
"$CONDA_EXECUTABLE" init
ensure_conda_initialized
echo 'export PATH="$HOME/miniconda/bin:$PATH"' >> ~/.bashrc
source ~/.bashrc
conda init
source ~/.bashrc
fi
# 验证 conda 是否可用
if command -v conda &> /dev/null; then
echo "Conda 安装成功，版本: $(conda --version)"
else
echo "Conda 安装可能成功，但无法在当前会话中使用。"
echo "请在脚本执行完成后，重新登录或运行 'source ~/.bashrc' 来激活 Conda。"
fi
}
# 检查并安装 Node.js 和 npm
function install_nodejs_and_npm() {
if command -v node > /dev/null 2>&1; then
echo "Node.js 已安装"
echo "Node.js 已安装，版本: $(node -v)"
else
echo "Node.js 未安装，正在安装..."
curl -fsSL https://deb.nodesource.com/setup_16.x | sudo -E bash -
sudo apt-get install -y nodejs
fi
if command -v npm > /dev/null 2>&1; then
echo "npm 已安装"
echo "npm 已安装，版本: $(npm -v)"
else
echo "npm 未安装，正在安装..."
sudo apt-get install -y npm
@ -42,7 +68,7 @@ function install_nodejs_and_npm() {
# 检查并安装 PM2
function install_pm2() {
if command -v pm2 > /dev/null 2>&1; then
echo "PM2 已安装"
echo "PM2 已安装，版本: $(pm2 -v)"
else
echo "PM2 未安装，正在安装..."
npm install pm2@latest -g
@ -51,6 +77,7 @@ function install_pm2() {
function install_node() {
install_conda
ensure_conda_initialized
install_nodejs_and_npm
install_pm2
apt update && apt upgrade -y
@ -64,7 +91,7 @@ function install_node() {
cd llm-loss-validator
# 创建并激活conda环境
conda create -n llm-loss-validator python==3.10 -y
source activate llm-loss-validator
source "$MINICONDA_PATH/bin/activate" llm-loss-validator
# 安装依赖
pip install -r requirements.txt
# 获取当前目录的绝对路径
@ -72,7 +99,7 @@ function install_node() {
# 创建启动脚本
cat << EOF > run_validator.sh
#!/bin/bash
source $HOME/miniconda/bin/activate llm-loss-validator
source "$MINICONDA_PATH/bin/activate" llm-loss-validator
cd $SCRIPT_DIR/src
CUDA_VISIBLE_DEVICES=0 \
bash start.sh \
@ -95,25 +122,95 @@ function uninstall_node() {
pm2 delete llm-loss-validator && rm -rf llm-loss-validator
}
function install_train_node() {
install_conda
ensure_conda_initialized
# 安装必要的工具
apt update && apt upgrade -y
apt install curl sudo python3-venv iptables build-essential wget jq make gcc nano git -y
# 克隆 QuickStart 仓库
git clone https://github.com/FLock-io/testnet-training-node-quickstart.git
cd testnet-training-node-quickstart
# 创建并激活 conda 环境
conda create -n training-node python==3.10 -y
source "$MINICONDA_PATH/bin/activate" training-node
# 安装依赖
pip install -r requirements.txt
# 获取必要信息
read -p "输入任务ID (TASK_ID): " TASK_ID
read -p "输入Flock API Key: " FLOCK_API_KEY
read -p "输入Hugging Face Token: " HF_TOKEN
read -p "输入Hugging Face 用户名: " HF_USERNAME
# 创建运行脚本
cat << EOF > run_training_node.sh
#!/bin/bash
source "$MINICONDA_PATH/bin/activate" training-node
TASK_ID=$TASK_ID FLOCK_API_KEY="$FLOCK_API_KEY" HF_TOKEN="$HF_TOKEN" CUDA_VISIBLE_DEVICES=0 HF_USERNAME="$HF_USERNAME" python full_automation.py
EOF
chmod +x run_training_node.sh
# 使用 PM2 启动训练节点
pm2 start run_training_node.sh --name "flock-training-node"
echo "训练节点已启动。您可以使用 'pm2 logs flock-training-node' 查看日志。"
}
function update_task_id() {
read -p "输入新的任务ID (TASK_ID): " NEW_TASK_ID
# 更新验证者节点的 Task ID
if [ -f "llm-loss-validator/run_validator.sh" ]; then
sed -i "s/--task_id \".*\"/--task_id \"$NEW_TASK_ID\"/" llm-loss-validator/run_validator.sh
pm2 restart llm-loss-validator
echo "验证者节点的 Task ID 已更新并重启。"
else
echo "未找到验证者节点的运行脚本。"
fi
# 更新训练节点的 Task ID
if [ -f "testnet-training-node-quickstart/run_training_node.sh" ]; then
sed -i "s/TASK_ID=.*/TASK_ID=$NEW_TASK_ID/" testnet-training-node-quickstart/run_training_node.sh
pm2 restart flock-training-node
echo "训练节点的 Task ID 已更新并重启。"
else
echo "未找到训练节点的运行脚本。"
fi
}
# 主菜单
function main_menu() {
clear
echo "脚本以及教程由推特用户大赌哥 @y95277777 编写，免费开源，请勿相信收费"
echo "=========================Flock验证者节点安装======================================="
echo "=========================Flock节点安装======================================="
echo "节点社区 Telegram 群组:https://t.me/niuwuriji"
echo "节点社区 Telegram 频道:https://t.me/niuwuriji"
echo "请选择要执行的操作:"
echo "1. 安装常规节点"
echo "2. 查看节点日志"
echo "3. 删除节点"
read -p "请输入选项（1-3）: " OPTION
echo "1. 安装验证者节点"
echo "2. 安装训练节点"
echo "3. 查看验证者节点日志"
echo "4. 查看训练节点日志"
echo "5. 删除常规节点"
echo "6. 删除训练节点"
echo "7. 修改验证者 Task ID 并重启节点"
read -p "请输入选项（1-7）: " OPTION
case $OPTION in
1) install_node ;;
2) check_node ;;
3) uninstall_node ;;
2) install_train_node ;;
3) check_node ;;
4) pm2 logs flock-training-node ;;
5) uninstall_node ;;
6) pm2 delete flock-training-node && rm -rf testnet-training-node-quickstart ;;
7) update_task_id ;;
*) echo "无效选项。" ;;
esac
}
# 显示主菜单
main_menu
main_menu