e9ceedb3bf
- 创建 /api/enhance 路由，实现图片变清晰API集成 - 在图片标注组件中添加变清晰按钮（Sparkles图标） - 在相册页面添加变清晰按钮 - 系统设置：将抠图设置改名为本地AI设置，添加变清晰API配置 - 支持同步和异步两种模式 - 自动上传到S3存储桶并保存到数据库 - 在相册和出图记录中显示处理后的图片
103 lines
4.1 KiB
Bash
Executable File
103 lines
4.1 KiB
Bash
Executable File
#!/bin/bash
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echo "🔍 开始检测服务器 GPU 配置..."
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echo ""
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# 1. 检查 NVIDIA 驱动
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echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
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echo "1️⃣ 检查 NVIDIA 驱动"
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echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
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if command -v nvidia-smi &> /dev/null; then
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nvidia-smi --query-gpu=name,driver_version,memory.total --format=csv
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echo ""
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echo "✅ NVIDIA 驱动已安装"
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else
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echo "❌ 未检测到 NVIDIA 驱动"
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echo " 请先安装驱动: https://www.nvidia.com/Download/index.aspx"
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exit 1
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fi
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# 2. 检查 CUDA
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echo ""
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echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
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echo "2️⃣ 检查 CUDA 版本"
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echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
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if command -v nvcc &> /dev/null; then
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nvcc --version | grep release
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echo "✅ CUDA 工具包已安装"
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else
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echo "⚠️ 未检测到 CUDA 工具包（可选）"
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echo " nvidia-smi 显示的 CUDA 版本可以直接使用"
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fi
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# 3. 检查 Python 和 PyTorch
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echo ""
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echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
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echo "3️⃣ 检查 PyTorch GPU 支持"
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echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
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if command -v python3 &> /dev/null; then
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python3 << 'EOF'
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import sys
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try:
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import torch
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print(f"PyTorch 版本: {torch.__version__}")
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print(f"CUDA 可用: {torch.cuda.is_available()}")
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if torch.cuda.is_available():
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print(f"CUDA 版本: {torch.version.cuda}")
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print(f"cuDNN 版本: {torch.backends.cudnn.version()}")
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print(f"GPU 数量: {torch.cuda.device_count()}")
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print(f"GPU 名称: {torch.cuda.get_device_name(0)}")
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print(f"GPU 显存: {torch.cuda.get_device_properties(0).total_memory / 1024**3:.1f} GB")
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print("")
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print("✅ PyTorch GPU 支持已启用")
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else:
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print("")
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print("❌ PyTorch 未启用 GPU 支持")
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print(" 需要安装 CUDA 版本的 PyTorch:")
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print(" pip install torch torchvision --index-url https://download.pytorch.org/whl/cu118")
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sys.exit(1)
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except ImportError:
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print("❌ PyTorch 未安装")
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print(" 请先安装: pip install torch torchvision")
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sys.exit(1)
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EOF
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if [ $? -eq 0 ]; then
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echo ""
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echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
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echo "🎉 GPU 配置检测完成！"
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echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
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echo ""
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echo "📊 性能预估:"
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echo " • 推理速度: 0.1-0.3 秒/次"
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echo " • 比 CPU 快 3-5 倍"
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echo " • 用户体验: ⭐⭐⭐⭐⭐"
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echo ""
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echo "🚀 可以开始部署 Florence-2 API 了！"
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else
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echo ""
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echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
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echo "⚠️ 需要安装 CUDA 版本的 PyTorch"
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echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
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echo ""
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echo "请运行以下命令:"
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echo ""
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echo " # 查看 CUDA 版本"
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echo " nvidia-smi | grep 'CUDA Version'"
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echo ""
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echo " # 如果是 CUDA 11.8"
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echo " pip install torch torchvision --index-url https://download.pytorch.org/whl/cu118"
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echo ""
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echo " # 如果是 CUDA 12.1"
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echo " pip install torch torchvision --index-url https://download.pytorch.org/whl/cu121"
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echo ""
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fi
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else
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echo "❌ Python3 未安装"
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fi
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