5ab3f249c6
- scripts/build_and_upload_docker.sh: sync context, build, save and upload evalscope-complete-py312 image to ModelScope. - scripts/deploy_remote_machine.sh: SSH to a fresh machine and run install.sh. - scripts/run_multi_machine.sh: distribute official-suite benchmarks across 3 machines (gpu048, gpu049, gpu051).
30 lines
1.1 KiB
Bash
Executable File
30 lines
1.1 KiB
Bash
Executable File
#!/bin/bash
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# ============================================================
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# 在远程机器上部署 EvalScope
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# 用法: bash scripts/deploy_remote_machine.sh <IP> [BASE_DIR]
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# 示例: bash scripts/deploy_remote_machine.sh 174.1.51.3 /data1/sora
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# ============================================================
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set -euo pipefail
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IP="${1:?请提供远程机器 IP}"
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BASE_DIR="${2:-/data1/sora}"
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PASS="${SSHPASS:-sskj2025}"
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REMOTE="root@$IP"
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SSH="sshpass -p $PASS ssh -o StrictHostKeyChecking=no -o ConnectTimeout=10 $REMOTE"
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SCP="sshpass -p $PASS scp -o StrictHostKeyChecking=no -o ConnectTimeout=10"
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echo "==> 部署到 $IP ..."
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# 1. 确保基础目录存在
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$SSH "mkdir -p $BASE_DIR && which git docker || (apt-get update && apt-get install -y git docker.io)"
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# 2. 克隆/更新代码
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$SSH "cd $BASE_DIR && if [ -d evalscope ]; then cd evalscope && git pull; else git clone https://git.meta-stone.net/sora/evalstone.git evalscope; fi"
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# 3. 运行部署脚本（下载数据、Docker 镜像、配置环境）
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$SSH "cd $BASE_DIR/evalscope && bash install.sh $BASE_DIR"
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echo "==> $IP 部署完成"
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